Sudan IDP Profiling Preparation   June 21, 2017  1. . Sudan IDP Profiling Preparation June, 2017  Poverty & Equity Global Practice, Africa 2. 3. . 4. . 5. . 1  Sudan IDP Profiling Preparation   June 21, 2017  Standard Disclaimer: 6. . This volume is a product of the staff of the International Bank for Reconstruction and Development/ The World Bank. The findings, interpretations, and conclusions expressed in this paper do not necessarily reflect the views of the Executive Directors of The World Bank or the governments they represent. The World Bank does not guarantee the accuracy of the data included in this work. The boundaries, colors, denominations, and other information shown on any map in this work do not imply any judgment on the part of The World Bank concerning the legal status of any territory or the endorsement or acceptance of such boundaries. 7. . Copyright Statement: 8. . The material in this publication is copyrighted. Copying and/or transmitting portions or all of this work without permission may be a violation of applicable law. The International Bank for Reconstruction and Development/ The World Bank encourages dissemination of its work and will normally grant permission to reproduce portions of the work promptly. For permission to photocopy or reprint any part of this work, please send a request with complete information to the Copyright Clearance Center, Inc., 222 Rosewood Drive, Danvers, MA 01923, USA, telephone 978-750-8400, fax 978-750-4470, http://www.copyright.com/. All other queries on rights and licenses, including subsidiary rights, should be addressed to the Office of the Publisher, The World Bank, 1818 H Street NW, Washington, DC 20433, USA, fax 202-522-2422, e-mail pubrights@worldbank.org.     2  Sudan IDP Profiling Preparation   June 21, 2017                                                                  This report was prepared by Utz Pape (TTL; Economist, GPV01), Simon Lange (Economist, GPV01) and  Ramona  Rischke  (Consultant,  GPV01)  with  contributions  from  Iris  Butzlaff  (Consultant,  GPV01)  and  Syedah  Aroob  (Consultant,  GPV01).  The  IDP  profiling  data  analysis  would  not  have  been  possible  without the support from WFP, namely Jan van der Velde and Anders Petersson. The team would also  like  to  thank  the  Sudan  UN  Country  Team  for  valuable  inputs  made  in  several  discussions  and  workshops. The team is grateful for comments from the Khadra Elmi (JIPS), Laura Ronkainen (JIPS) and  the peer reviewers Tom Bundervoot (Senior Economist, GPV01) and Giorgia Demarchi (Social Scientist,  GPVGE).       Vice President  Makhtar Diop  Country Director  Carolyn Turk  Senior Director  Carolina Sanchez‐Paramo  Practice Manager  Pierella Paci  Task Team Leader  Utz Pape      3  Sudan IDP Profiling Preparation   June 21, 2017  Table of contents  ................................................................................................................................................. 5  List of Figures  List of Tables .................................................................................................................................................. 5  List of Boxes ................................................................................................................................................... 5  List of Abbreviations ...................................................................................................................................... 6  Executive summary ....................................................................................................................................... 7  I.  Introduction ..................................................................................................................................... 10  II.  Background ...................................................................................................................................... 15  Country context ....................................................................................................................................... 15  Displacement in Sudan ............................................................................................................................ 17  III.  Conceptual framework .................................................................................................................... 20  Durable Solutions .................................................................................................................................... 20  Benchmarking criteria ............................................................................................................................. 22  IV.  ................................ 25  What is known about IDPs, other displaced groups, and host communities?  Data availability and measurement issues .............................................................................................. 25  ........................................................................................................... 28  Demographic and regional profile  What is known about Abu Shouk? .......................................................................................................... 43  V.  What are knowledge gaps to inform durable solutions? ................................................................ 50  Data‐related knowledge gaps ................................................................................................................. 50  Content‐related knowledge gaps ............................................................................................................ 53  VI.  Recommendations for data collection in Abu Shouk ...................................................................... 58  ...................................................................................................................... 58  General recommendations  Proposed survey instrument ................................................................................................................... 61  Sampling strategy .................................................................................................................................... 65  VII.  References ....................................................................................................................................... 66  IX.  Appendices ...................................................................................................................................... 70  Appendix A ‐ Operationalizing Durable Solutions ................................................................................... 70  Appendix B ‐ Comparison of survey instruments .................................................................................... 74  Appendix C ‐ Linking the DS framework to existing instruments ............................................................ 93  Appendix D – Proposed survey questionnaire ...................................................................................... 100    4  Sudan IDP Profiling Preparation   June 21, 2017  List of Figures  Figure 1: Total number of IDPs as a result of conflict (million) ................................................................... 10  Figure 2:Trend in the number of IDPs in Sudan (as a result of conflict) ..................................................... 11  Figure 3: Governance indicators, 1996‐2015. ............................................................................................. 16  Figure 4: Number of reported conflict events and fatalities, 1997‐2016 ................................................... 17  Figure 5: Conflict events by region, 1997‐2016 .......................................................................................... 18  Figure 6: Framework for the analysis of typologies of displacement. ........................................................ 23  Figure 7: Number of people newly displaced in Darfur per year (2003‐2016), incl. returns ...................... 29  Figure 8: Location of IDPs and refugees ‐ Census 2008 .............................................................................. 30  Figure 9:Humanitarian needs for different population groups  ................................................................... 39  Figure 10: The severity of need for humanitarian assistance in 2017 ........................................................ 41  Figure 11: Comparison of Abu Shouk to other IDP camps in Darfur. .......................................................... 45  Figure 12: Households by gender and education of household heads. ...................................................... 46  Figure 13: Monthly per capita expenditure by characteristics of the household head. ............................. 47  Figure 14: Household livelihoods and per capita expenditure. .................................................................. 47  Figure 15: Expenditure shares by quintile. .................................................................................................. 48  List of Tables  Table 1: Flood‐related displacement in Sudan. ........................................................................................... 19  Table 2: Established data systems in Sudan ................................................................................................ 26  Table 3: IDP figures for Darfur across agencies and time ........................................................................... 28  Table 4: Sudan population figures – Census 2008 and MICS 2014 ............................................................. 31  Table 5: Demographic profile and age distribution among IDPs ................................................................ 33  Table 6: Demographic profile and age distribution in population according to MICS (2014) .................... 34  Table 7: Demographic profile and age distribution, among refugees ........................................................ 34  Table 8: Demographic profile and age distribution, among returnees ....................................................... 35  Table 9: Vulnerable groups among IDPs ..................................................................................................... 37  Table 10 Vulnerable groups among refugee and returnee population ...................................................... 40  Table 11: Durable Solutions Framework and knowledge gaps ................................................................... 56  List of Boxes  Box 1: Differentiating between groups – a matter of definition  ................................................................. 27  Box 2: UN OCHA’s People in Need Assessment .......................................................................................... 41  Box 3: The Example of IDPs in Darfur in 2007/ 2008 .................................................................................. 52  Box 4: Glossary of key terms ....................................................................................................................... 70        5  Sudan IDP Profiling Preparation   June 21, 2017  List of Abbreviations  ACLED  Armed Conflict Location & Event Data Project  AU  African Union  CBS  Central Bureau of Statistics  CFSVA   Comprehensive Food Security and Vulnerability Assessments  CPA  Comprehensive Peace Agreement  DFID  Department for International Development  DDPD  Doha Document of Peace in Darfur  DS   Durable Solutions  DJAM   Darfur Joint Assessment Mission  DPA  Darfur Peace Agreements  DTM  Displacement Tracking Matrix  EA  Enumeration area  EFSA  Emergency Food Security Assessment  FSA  Food Security Assessment  FSMS   Food Security Monitoring System  GAM   Global Acute Malnutrition  GBV  Gender‐based violence  GoS  Government of Sudan  HAC  Humanitarian Aid Commission  HPG  Humanitarian Policy Group  IASC  Inter‐Agency Standing Committee  IDP  Internally Displaced Person  IOM  International Organization for Migration  IPC   Integrated Food Security Phase Classification  IPUMS  Integrated Public Use Microdata Series  JEM   Justice and Equality Movement  MICS  Multiple Indicator Cluster Survey  RRF  Rapid Response Fund  ReDSS   Regional Durable Solutions Secretariat  SAM  Severe acute malnutrition  SLM  Sudan Liberation Movement   SPLM  Sudan People’s Liberation Movement  UN‐Habitat  United Nations Human Settlements Programme  UNICEF   United Nations International Children’s Emergency Fund)  UN OCHA   United Nations Office for the Coordination of Humanitarian Affairs  WFP  World Food Programme  WASH  Water, Sanitation and Hygiene    6  Sudan IDP Profiling Preparation   June 21, 2017  Executive summary  1. The number of internally displaced persons (IDPs) is currently at record highs. Worldwide, the  number of people forcibly displaced from their homes by war, civil conflicts, political strife, or gross human  rights abuses stood at an  all‐time  high  of 65.3 million individuals, an increase  by more than 15 million  compared  to  just  twelve  months  earlier.1  The  current  rate  at  which  individuals  a  forced  to  leave  their  homes corresponds to an average of 24 people being displaced every minute, up from six per minute in  2005. And while the problem of refugee streams into developed countries has received much attention,  the vast majority of displaced persons, 40.8 million, are internally displaced. More often than not, these  individuals reside in countries in which conflict is on‐going and in which governments lack the institutional  capacity and resources to tackle the problem effectively.   2. Sudan has one of the largest stocks of IDPs. Decades of protracted conflicts and human rights  violations  have  been  the  main  drivers  of  forced  displacement  in  Sudan.  The  most  recent  available  estimates  indicate  that  as  many  as  3.2 million  individuals,  eight percent  of  Sudan’s  population,  are  internally  displaced  as  a  result  of  conflict.  This  makes  Sudan  the  country  with  the  fourth‐largest  IDP  population in the world.2 In addition to the burden of internal displacement, Sudan is also a transit and  destination  country  for  asylum‐seekers,  refugees,  and  migrants  transiting  from  neighboring  countries  along the Eastern African Migratory Route and towards North Africa.   3. Forced  displacement  constitutes  a  severe  development  challenge.  Extreme  poverty  is  increasingly concentrated among vulnerable groups, including individuals who had to flee in the wake of  conflict,  violence,  human  rights  abuses,  and  natural  disasters.  As  a  consequence  of  violence  and  displacement,  these  groups  have  typically  endured  tremendous  hardship,  including  physical  and  psychological harm and the loss of their economic livelihoods. Displacement is also often associated with  a  disruption  of  long‐term  investment  in  human  capital  as  access  to  health  and  education  providers  is  interrupted.  A  sudden  increase  in  population  density  in  the  area  of  refuge,  often  akin  to  accelerated  urbanization, puts pressure on scarce resources such as land, housing, food, and public services affecting  host  communities  as  well  as  forcibly  displaced  people.3  In  addition,  large  inflows  have  been  linked  to  increases in the prevalence of communicable diseases4 and environmental degradation.5   4. Policy‐makers  should  strive  to  arrive  at  ‘durable  solutions,’  outcomes  in  which  IDPs  have  effectively  overcome  displacement‐related  assistance  needs.  IDPs  are  often  in  need  of  basic  humanitarian  assistance  in  the  immediate  aftermath  of  displacement.  However,  overcoming  all  displacement‐related shortfalls – the attainment of a durable solution to displacement – will typically be  a  long‐term  process  that  benefits  from  well‐designed  policies  that  go  beyond  basic  humanitarian  assistance. It is widely acknowledged that the process of arriving at a durable solution has to be guided  primarily  by  the  needs,  rights,  and  preferences  of  those  affected.  At  the  same  time,  the  viability  and  desirability of a durable solution will depend not only on the current state of affairs for those affected, but  also on trajectories and aspirations. Hence, it is useful to establish cause‐, needs‐, and solutions‐based  criteria for durable solutions.                                                                1  UNHCR (2016a).  2  IDMC (2015a), World Bank (2017b).  3  Alix‐Garcia and Saah (2010).  4  Baez (2011).  5  UNHCR (2005).  7  Sudan IDP Profiling Preparation   June 21, 2017  5. This report presents preparatory work for data collection and profiling of IDPs in Abu Shouk in  Darfur, one of Sudan’s largest IDP camps. A joint UN‐World Bank effort is currently under preparation  that will pilot new data collection to compile a comprehensive profile of IDPs in Abu Shouk as well as of  host communities. The objective of the pilot survey is to collect data to inform durable solutions. The pilot  will  also  help  to  learn  lessons  on  how  to  collect  and  analyze  as  well  as  disseminate  data  for  durable  solutions. The purpose of this study is to derive a conceptual foundation, survey existing data systems,  provide a first assessment of the context of internal displacement in Sudan, and propose an instrument to  inform durable solutions.   6. The  stipulation  of  a  conceptual  framework,  a  comparison  of  existing  data  systems,  and  a  profiling exercise based on available datasets all feed into the design of a survey instrument. Specifically,  the  report  details  three  preparatory  steps.  First,  it  details  a  framework  for  the  analysis  of  internal  displacement that informs durable solutions from the perspective of cause‐, needs‐, and solutions‐based  criteria. Second, it provides a review of existing data systems, including a comparison to the proposed  framework. Third, it provides a profile of internal displacement in Sudan with a focus on Darfur and Abu  Shouk based on existing data sources. Lessons from these exercises then feed into the design of a survey  instrument and recommendations for its implementation.   7. Overall,  data  to  inform  durable  solutions  for  Sudan’s  IDP  population  are  lacking.  While  data  collection in this context is challenging, activities by several UN agencies have resulted in well‐established  data systems to inform programming and policy responses. However, datasets have often been created  with  a  focus  on  specific  subgroups  and  with  the  aim  to  inform  narrow  interventions.  As  a  result,  the  majority of existing data systems and studies has been focused on understanding the current needs of  either IDPs, refugees, or host communities. However, these efforts rarely allow for comparisons between  these  groups  or  joint  assessments  of  the  impacts  of  displacement  on  affected  population  groups.  In  addition,  existing  studies  focus  on  different  indicators  for  different  populations,  are  produced  with  different levels of granularity, employ different definitions of subpopulations, and often have a limited  thematic scope as a result of the producers’ programmatic focus and funding limitations. Finally, raw data  and documentation are almost never made available publicly. Therefore, the benefits of implementing an  integrated while modular instrument as proposed in this report will be large.  8. The review of existing data systems reveals significant vulnerabilities of Sudan’s IDP population.  The majority of IDPs in Darfur live in camps that increasingly resemble permanent, informal settlements.  Yet most IDPs in Darfur either rely heavily on humanitarian assistance or fall short of meeting their basic  needs. For instance, in 2016, two‐thirds reportedly struggled to meet their basic food needs by themselves.  Long‐term development perspectives are equally lacking. Also, out of the 1.7 million Sudanese children  who lack access to education, more than half are IDPs.   9. The problem of cross‐border refugee flows is very different from the problem of IDPs in Sudan.  While the focus of the empirical part of this study will be on IDPs, the report also contrasts the situation  of IDPs with that of refugees and returnees. Findings indicate that the situation of the internally displaced  and that of cross‐border migrants are very different in Sudan. While nothing is known about the inclination  of IDPs to become cross‐border migrants, the profiling exercise in this report shows that the two groups  differ in terms of their population size, geographic distribution, and demographic profiles: IDPs, of which  there are four for every refugee in the country, are more likely to be women and to reside in the Darfur  region. Refugees, on the other hand, are concentrated in the Northeast and South of the country.   8  Sudan IDP Profiling Preparation   June 21, 2017  10. IDPs in Abu Shouk differ significantly from IDPs in other camps in Darfur; the camp increasingly  resembles a permanent settlement. Abu Shouk, one of Sudan’s largest IDP camps, was established at the  height of the war in Darfur in 2004 and officially stopped receiving new IDPs in 2007. It is thus also one of  the  oldest  camps  in  the  region  with  some  implications  for  its  demographic  make‐up  and  inhabitants’  economic opportunities: a majority of IDP households in Darfur’s camps – three out of four – are headed  by women. Yet this phenomenon is even more pronounced in Abu Shouk, where four in five households  are headed by women. In contrast to other IDP camps in Darfur, labor outside of agriculture constitutes  the main source of livelihood in Abu Shouk – few households have access to land – and dwelling structures  are more likely to be permanent.  11. The report stipulates a modular multi‐topic survey that can be administered to IDP households  and  households  in  host  communities  alike.  The  draft  questionnaire  has  been  designed  to  capture  information  about  IDPs’  displacement‐related  needs  and  allows  for  analyses  from  cause‐,  needs‐,  solutions‐based perspectives in a series of modules. It is argued that the data collection effort will benefit  from  recent  methodological  advances  in  sampling  in  informal  settlements  as  well  as  measurement  of  consumption data, while ensuring comparability with existing data systems.      9  Sudan IDP Profiling Preparation   June 21, 2017  I. Introduction  1. Worldwide, the number of persons forcibly displaced from their homes is at record highs. Out  of  the  estimated  65.3  million  individuals  who  were  forcibly  displaced  as  of  2015,  40.8 million  were  internally displaced persons (IDPs),6 individuals who have fled their homes because of war, civil conflict,  political strife, or gross human rights abuses, but have remained within the borders of their country of  origin.   2. Sudan is among the countries with the highest incidence of internal displacement in the world.  Protracted  conflict  and  human  rights  violations  since  independence  in  1959  have  repeatedly  triggered  waves  of  internal  displacement  in  Sudan.  The  most  recent  available  estimates  indicate  that  3.2 million  individuals, eight percent of Sudan’s population, were estimated to be internally displaced as a result of  conflict.7 Only Syria, Iraq, and Colombia have higher stocks of IDPs as of 2015 (Figure 1). The number of  IDPs in Sudan has increased by about 44 percent since 2011 (Figure 2).  Figure 1: Total number of IDPs as a result of conflict (million)  7 6 5 4 3 2 1 0 Source: Various sources as reported by IDMC.    3. In addition to displacement and migration of its citizens, Sudan is also a transit and destination  country for asylum‐seekers, refugees, and migrants from neighboring countries.8 The country is located  along migration routes from West and East Africa towards North Africa and onwards to Europe or the Gulf  countries, which makes Sudan a (temporary) host country to diverse populations of forced and voluntary  migrants, including refugees from Chad, Eritrea, and South Sudan. Recent estimates suggest that Sudan  hosts about 794,000 international refugees9. As a source, transit, and destination country for migrants and  refugees, Sudan is classified as mixed migration country.10                                                                6  Figures reported by UNHCR exclude internal displacement due to natural disasters. UNHCR (2016a).  7  IDMC (2015a) and World Bank (2017b).  8  NAMTF (2015).  9  UN OCHA (2016a).  10  IOM (2017a).  10  Sudan IDP Profiling Preparation   June 21, 2017  Figure 2:Trend in the number of IDPs in Sudan (as a result of conflict)  Stock measure (thousands) 3,500 3,000 2,500 2,000 1,500 1,000 500 0 2011 2012 2013 2014 2015   Source: IDMC.    4. Challenges associated with internal displacement differ from those associated with cross‐border  refugee  flows.  Both  IDPs  and  border‐crossing  refugees  usually  suffer  from  some  form  of  conflict‐  and  disaster‐related disruption of their livelihoods such as the loss of or separation from family members, the  loss  of  property  and  assets,  and  an  acute  lack  of  self‐determination.  Both  groups  often  require  both  humanitarian and long‐term assistance to restore their livelihoods. Yet the constraints and opportunities  IDPs  face  differ  substantially  from  those  of  international  refugees  and  so  will  the  policies  to  address  internal displacement. On the one hand, refugees often face more severe limitations when it comes to  overcoming cultural barriers. Host countries often do not express a strong interest in integrating refugees  but treat them as a temporary nuisance. IDPs, on the other hand, are still in their home country where –  at least in principle – they should enjoy the same rights as other citizens. Thus, finding opportunities for  livelihoods can be easier and can potentially lead more quickly to an end of forced displacement.   5. Mechanisms to protect and assist IDPs are still less established than those for refugees. Refugees  fall  under  the  protection  of  international  instruments  such  as  the  1951  UN  Convention  relating  to  the  Status of Refugees. Refugees also have a specific UN agency, the United Nations High Commissioner for  Refugees (UNHCR), to assist them. In contrast, IDPs cannot rely on comparable standards or mechanisms  for their protection. While their own governments have the primary responsibility to assist and protect  them, they are often unable or unwilling to fulfil their duty.11 In addition, internal displacement receives  less attention in the media, an observation that led the Under‐Secretary General of the UN to refer to IDPs  as “the most forgotten and neglected people in the many forgotten and neglected emergencies around  the world.”12   6. The  durable  solutions  (DS)  framework  can  be  employed  to  inform  policies  aimed  at  ending  displacement‐related  needs.  The  Inter‐Agency  Standing  Committee’s  (IASC)13  Framework  on  Durable                                                               11  Giustiniani (2011).  12  UN OCHA (2014).  13  IASC (2010).  5.   11  Sudan IDP Profiling Preparation   June 21, 2017  Solutions for Internally Displaced Persons stipulates that a durable solution to internal displacement can  in principle be achieved through return, local integration, or resettlement and that such a durable solution  is  achieved  once  displaced  persons  no  longer  have  displacement‐related  protection  and  assistance  needs.14 The IASC framework suggests criteria that may be used to determine to what extent a durable  solution has been achieved which are organized around the themes of physical, material, and legal safety.  More  recently,  the  Regional  Durable  Solutions  Secretariat  (ReDSS)  proposed  a  set  of  indicators  to  operationalize the DS framework.15  7. The process of arriving at a durable solution should be guided primarily by the needs, rights, and  preferences expressed by IDPs. The IASC argues that the needs, rights, and legitimate interests of IDPs  should be the primary considerations guiding all policies and decisions on durable solutions. It recognizes  that achieving a durable solution will be a complex and gradual process of reducing displacement‐specific  needs and ensuring the enjoyment of human rights without discrimination. This process will often take a  considerable amount of time.   8. The formulation of effective policies to achieve durable solutions requires a sound evidence‐ base. While humanitarian considerations will often take precedence over the search for durable solutions  in  the  initial  stages  of  displacement,  the  formulation  of  effective  policies  to  achieve  durable  solutions  should become a priority once basic needs are adequately addressed. As the aims of these policies will be  informed to a large extent by the needs and aspirations of those affected, they chiefly require information  about  IDPs’ capabilities and aspirations that go  beyond humanitarian needs  and  cut across sectors.  To  contextualize this information, the report argues that it is paramount to collect data on individual histories  of displacement.   9. Taken together, the framework for the analysis should be thought of as a two‐dimensional space  that  combines  the  set  of  DS  indicators  with  an  analytical  lens  that  allows  for  cause‐,  needs‐,  and  solutions‐based analysis. The viability of a sustainable durable solution will depend on the initial cause of  displacement, current shortfalls, and aspirations. At the same time, these three considerations are not  independent of one another. Initial causes of displacement affect current needs and aspirations across a  wide range of relevant dimensions. Pairing these dimensions with a cross‐sectoral approach in the space  of needs – from economic opportunities to social and legal aspects of displacement – provides a powerful  tool to gauge the feasibility, viability, and desirability of a solution to internal displacement.   10. Data on challenges faced by host communities may contribute to an understanding of the need  for IDP‐specific programming and the viability of durable solutions. Host communities often struggle with  the rapid influx of IDPs and may themselves see their livelihoods threatened  by the drivers of internal  displacement. These additional challenges add to whatever shortfalls in livelihoods they may already face.  Thus, including host communities in the data collection effort is likely to have large payoffs. Policy‐makers  will also want to know to what extent policies to achieve durable solutions should differ from broader  policy packages aimed at expanding opportunities for the entire population in a receiving region. Finally,  including  host  communities  in  the  data  collection  effort  may  inform  policies  to  foster  social  cohesion.  Further information that may be of interest in the case of internal displacement include data about the                                                               14   Note  that  this  implies  that  mere  return  to  one’s  home  or  place  of  habitual  residence,  relocation  to  another  part  of  the  country,  or  local  integration does not amount to a durable solution. Rather, the criterion to determine whether a particular circumstance qualifies as a durable  solution is that whatever remaining needs and human rights concerns individuals may have been unrelated to displacement.  15  ReDSS (2016).  12  Sudan IDP Profiling Preparation   June 21, 2017  situation in potential return areas as well as information about the capacity and perceptions of service  providers (government representatives, camp managers, etc.).  11. There is an urgent need to improve the availability of data to inform durable solutions in Sudan.  Humanitarian actors in Sudan have been delivering long‐running emergency assistance to IDPs and other  vulnerable migrant populations. This engagement resulted in various well‐established data systems and  exercises (e.g. IOM’s Displacement Tracking Matrix and WFP’s IDP Profiling) to inform programming and  policy responses. While these systems have generated information on the demographic profiles of IDPs in  camps and settlements as well as IDPs’ situation in relation to various sectoral issues such as food security  and livelihoods, existing data systems typically have limited thematic scope and population coverage. In  addition,  raw  data  and  their  documentation  are  rarely  available  to  stakeholders  outside  implementing  agencies. Hence, there is a clear need to collect and disseminate comprehensive data specifically to inform  durable solutions.     12. Based on the limited available data, the report provides a preliminary profile of IDPs in Sudan.  The  report  draws  on  existing  data  sources  to  provide  a  profile  of  IDPs  and  other  population  groups  in  Sudan. It shows significant vulnerabilities of Sudan’s IDP population in terms of access to basic services  and access to sustainable livelihood strategies to reduce dependencies on humanitarian assistance. The  regional  distribution  of  IDPs  is  concentrated  in  Darfur  while  refugees  are  mainly  located  in  Eastern  provinces and in the South. Protection needs are particularly pronounced among women and children.   13. The report also provides a demographic and needs‐centered comparison between IDPs, other  vulnerable groups, and the general population.  Demographic profiling shows that children and women  are overrepresented among both IDPs and refugees. Almost half of those that are classified by UN agencies  as being in need of humanitarian assistance are IDPs, refugees, and returnees. However, this implies that  there is also a significant fraction of the general population in need for humanitarian assistance. While  specific needs differ across population groups, there is substantial overlap in the sectors of food security,  livelihood assistance, and health.  14. The  report  offers  a  review  of  existing  instruments  to  collect  data  relevant  for  DS‐informed  programming in Sudan. The review shows that existing instruments are strongly based on current needs  and  demographic  profiles  and  largely  lack  information  to  inform  durable  solutions.  The  planned  instrument will fill important gaps in this respect. Most dimensions of the DS framework are touched upon  in at least one of the existing instruments in one way or another. Yet as a result of a narrow focus on  certain  population  groups,  information  for  the  reference  population  is  often  lacking.  Existing  data  and  instruments have also been biased toward return as a durable solution. Thus, the planned survey will add  crucial information to the cause‐, needs‐, and solutions‐based perspectives that is required to overcome  existing  knowledge  gaps.  This  is  achieved  by  collecting  information  related  to  the  situation  before  displacement, aspirations related to all potential durable solutions (i.e. local integration, relocation, and  return), and collecting information from the host community.  15. Finally, the report provides inputs for the design and implementation of a survey in Abu Shouk  IDP camp, near El Fasher, North Darfur. A joint UN‐World Bank activity will gather information required  to inform durable solutions for IDPs with a focus on the IDP camp Abu Shouk in North Darfur.16  Darfur has  produced and hosts by far the largest numbers of IDPs and protracted cases in Sudan. The region has been  receiving  humanitarian  assistance  for  over  a  decade.  In  contrast  to  some  other  camps,  Abu  Shouk  is                                                               16  The spelling in English differs. One can find “Abou Shouck,” “Abu Shouk,” and “Abo Shouck”.   13  Sudan IDP Profiling Preparation   June 21, 2017  accessible  for  humanitarian  actors  and  researchers  and  the  Government  of  Sudan  (GoS)  has  stated  an  interest in providing durable solutions for the population living in this camp. The planned IDP profiling will  collect individual‐ and household‐level information on IDPs residing in Abu Shouk and from surrounding  host communities.   16. While results from a survey of IDPs in Abu Shouk will not generally be externally valid, there are  several reasons at this point to focus on Abu Shouk. Abu Shouk is one of the largest and oldest IDP camps  in Sudan. And while there are some similarities with other camps in the region, conclusions with respect  to durable solutions that emerge from the planned survey will be specific to Abu Shouk. The focus on Abu  Shouk in this report and the planned data collection is a result of a combination of factors: Abu Shouk is  readily  accessible  and  partners  have  strong  relationships  with  local  stakeholders.  In  addition,  resource  constraints  preclude  a  broader  data  collection  effort.  On  the  other  hand,  the  survey  instrument  to  be  developed will be applicable generally to Sudan’s IDP population and, thus, will provide an instrument to  contribute to a broadening of the evidence‐base in the future.     17. Local  partners  are  at  the  center‐stage  of  this  activity  and  are  involved  through  technical  workshops and trainings. Local involvement and ownership is central to data collection in this setting to  ensure  that  collected  data  is  indeed  used  for  programming.  The  Government  already  participated  in  a  number of workshops and technical trainings and demonstrates a clear understanding of the salience of  durable solutions, what they entail, including the choice of IDPs about their durable solution, as well as a  commitment to provide durable solutions based on the collected data. Jointly with UN partners, a strategy  has  been  put  in  place  to  further  the  involvement  of  the  Government  and  its  ownership  of  the  agenda  including the continuation of technical workshops and trainings. They will also participate in the analysis  of the data.  18. The  proposal  includes  general  considerations  and  recommendations,  a  commented  draft  questionnaire, as well as recommendations regarding sampling.  The report argues that data collection  should be sample‐based and exploiting recent advances in sampling methodology in fragile and conflict‐ affected  settings.  The  proposed  instrument  can  be  employed  for  cause‐,  needs‐,  and  solutions‐based  benchmarking and to inform all sectors of the DS framework.         14  Sudan IDP Profiling Preparation   June 21, 2017  II. Background  Country context  19. While Sudan is classified as a middle income country, a large fraction of the population lives in  poverty.  With  a  GNI  per  capita  of  $1,920  in  2015,  Sudan  is  classified  as  a  middle  income  country.  Nevertheless, a large fraction of the population lives in poverty. The most recent available data from 2009  indicate a country‐wide poverty rate of 46.5 percent with large regional disparities.17 High rates of poverty  are  also  reflected  in  indicators  of  human  development:  only  three  out  of  five  age‐eligible  children  completed a full course of primary education in 2013, about 70 out of 1,000 children die before their fifth  birthday, and almost two out of five children are severely or moderately malnourished.  20. Between  1999  and  2011,  economic  growth  in  Sudan  relied  heavily  on  oil.  The  economy  was  characterized by high growth rates driven by oil exports and investment in industry‐related infrastructure  and utilities. During these years of the “oil economy”, economic growth exceeded the historical average  of 4.9 and reached 6.1 percent annually on average.18 Oil quickly became the most important source of  government revenues. However, the oil economy resulted in a neglect of other sectors of the economy.   21. The secession of South Sudan in 2011 and the decline in oil prices had severe fiscal and economic  consequences from which the economy has yet to recover fully. The majority of the oil fields in the former  unified state were located across the border in South Sudan. Hence, for the North, the secession of the  South resulted in a loss of about 75 percent of its revenues as the majority of the oil fields are located  across the border in South Sudan. The GoS subsequently adjusted its policies several times, implementing  fiscal austerity measures and dismantling fuel and energy subsidies. In addition, the nominal exchange  rate  was  allowed  to  depreciate  and  the  government  relied  more  heavily  on  central  bank  financing,  resulting in elevated inflation rates.   22. Sudan  still  has  very  limited  access  to  international  capital  markets  and  is  experiencing  a  protracted debt crisis. Sudan’s external debt stood at about $45 billion at the end of 2013, with 85 percent  of it in arrears.19 US sanctions remain in effect and put additional pressure on the financial sector. In June  2014, BNP Paribas, a French bank, agreed to pay $8.9 billion in an out‐of‐court settlement for violating US  sanctions, a decision that has led several international banks to further review and restrict transfers that  may eventually end up in Sudan. With fewer banks willing or able to transact with Sudan, the costs of doing  business continue to rise.   23. State capacity, a key requirement for nation states to tackle challenges associated with internal  displacement,  is  low.  National  governments  have  the  primary  responsibility  to  support  the  internally  displaced. Whether they are able to do so, however, depends on their effectiveness – the quality of public  services, the  quality of  the  civil service, the quality  of policy formulation and implementation, and  the  credibility of the government's commitment to such policies – and, arguably, the extent to which to which  citizens are able to participate in the policy process. Indicators that measure these aspects of governance  are provided in the World Bank’s Worldwide Governance Indicators.20 The data show that, for much of the  2004‐2015  period,  Sudan  scored  among  the  bottom  ten  percent  in  a  cross‐section  on  the  government                                                               17  World Bank (2014).  18  World Bank (2015a).  19  World Bank (2015a).  20  Kaufmann, Kray, and Mastruzzi (2010).  15  Sudan IDP Profiling Preparation   June 21, 2017  effectiveness‐indicator period and among the bottom five percent with regard to voice and accountability.  While the voice‐and‐accountability‐indicator has been flat since the late 1990s, government effectiveness  may have decreased moderately since 2007, although the trend is not statistically significant (panels (a)  and (b) of Figure 3, respectively). This suggests that the country likely requires substantial external support  in order to deal with its current displacement crisis.    Figure 3: Governance indicators, 1996‐2015  (a) Government effectiveness  (b) Voice and accountability 0 0 1996 1998 2000 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 1996 1998 2000 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 ‐0.5 ‐0.5 ‐1 ‐1 ‐1.5 ‐1.5 ‐2 ‐2 ‐2.5 ‐2.5   (c) Rule of law (d) Pol. stability and absence of violence 0 0 1996 1998 2000 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 1996 1998 2000 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 ‐0.5 ‐0.5 ‐1 ‐1 ‐1.5 ‐1.5 ‐2 ‐2 ‐2.5 ‐2.5 Source: World Bank Worldwide Governance Indicators.    24. Rule  of  law  and  political  stability  increased  moderately  in  recent  years,  albeit  from  very  low  levels in the mid‐2000s. The rule‐of‐law indicator measures the extent to which agents have confidence  in and abide by the rules of society while the political‐stability indicator measures the perceptions about  the likelihood of political instability and/or politically motivated violence, including terrorism. As a result  of protracted conflicts in Sudan over many decades (see next section), Sudan has been consistently ranked  16  Sudan IDP Profiling Preparation   June 21, 2017  at the bottom in international comparisons. However, both series exhibit a weak positive trend since the  mid‐2000s (panels (c) and (d) of Figure 3, respectively). The next section explores Sudan’s recent history  of political violence and internal displacement in more detail.   Displacement in Sudan  25. Protracted  conflict,  intermittent  civil  wars,  and  human  rights  violations  have  been  the  main  drivers of internal displacement in Sudan.  Following independence from British rule in 1956, Sudan has  experienced protracted conflict. The second half of the last century was marked by two lengthy civil wars  (between  1955  and  1972  and  1983  to  2005,  respectively)  that  were  fought  mainly  between  Islamic‐ oriented military regimes to the North and militia groups from the more animist‐ and Christian‐dominated  South.21 While the incidence of conflict and conflict‐related fatalities briefly declined in the wake of the  2005 Comprehensive Peace Agreement (CPA), armed conflict intensified in recent years (Figure 4).   Figure 4: Number of reported conflict events and fatalities, 1997‐2016  (a) Conflict Events (b) Fatalities 1,500 14,000 12,000 1,000 10,000 8,000 6,000 500 4,000 2,000 0 0 1997 1999 2001 2003 2005 2007 2009 2011 2013 2015 1997 1999 2001 2003 2005 2007 2009 2011 2013 2015 No. of conflict events (total) No. of fatalities in conflict events (total) No. of conflict events involving violence No. of fatalities in conflict events against civilians involving violence against civilians     Source: ACLED.    26. In 2003, after decades of what was perceived as political and economic neglect on part of the  central  government,  non‐Arabs  in  Darfur  went  into  open  rebellion.  Accusations  of  systematic  discrimination, marginalization, and oppression against non‐Arabs in Darfur by the government date back  at least to the early 1990s. The Sudan Liberation Movement (SLM) and the Justice and Equality Movement  (JEM), two rebel groups based in Darfur, began fighting government forces in February 2003 (Figure 5).  The government’s forceful response included the use of Arab militias in a campaign of ethnic cleansing,  actions that later resulted in the indictment of Sudan's president for genocide, war crimes, and crimes  against humanity by the International Criminal Court. Estimates of the number of human casualties on  both sides range up to several hundred thousand dead, many of which civilians, from either combat or  starvation and disease.                                                                21  ICG (2015).  17  Sudan IDP Profiling Preparation   June 21, 2017  Figure 5: Conflict events by region, 1997‐2016  1,600 1,400 1,200 1,000 800 600 400 200 0 Blue Nile Darfur Equatoria Kordofan Bahr el Ghazal Jonglei Kassala Khartoum Northern Upper Nile   Source: ACLED. Note: Jonglei, Equatoria, Bahr el Ghazal, and Upper Nile became part of South Sudan in 2011.    27. Subsequent peace agreements for Darfur reached in 2006 in Abuja and in 2011 in Doha failed to  bring stability to the region. Both the first (Abuja) and the second (Doha) Darfur Peace Agreements (DPA)  failed to obtain approval from more than one faction on the side of the rebels at a time. The incidence of  violent conflict increased again over the course of 2012 and 2013 (Figure 5).   28. Fighting between government forces and the SPLM‐North in South Kordofan and Blue Nile states  resumed  in  mid‐2011.  South  Kordofan  state  and  Blue  Nile  state,  sometimes  referred  to  as  the  “Two  Areas,” are located along Sudan’s volatile border with South Sudan. The Two Areas experienced decades  of armed conflict as the South Sudanese fought for independence, witnessing the deaths of many and the  displacement of hundreds of thousands. Fighting in the region briefly ceased after the signing of the CPA.  However,  in  mid‐2011,  both  areas  devolved  into  open  conflict  (Figure  5),  resulting  in  more  than  600  deaths, the displacement of hundreds of thousands and a large‐scale humanitarian crisis along the border  with  South  Sudan.22  Estimates  suggest  that  the  conflict  has  severely  affected  or  displaced  more  than  1.1 million  people  within  the  Two  Areas  and  caused  more  than  234,000  people  to  flee  to  neighboring  countries.  29. A  recent  ceasefire  between  opponents  in  Darfur  resulted  in  a  decline  in  violent  activity;  but  factionalism within rebel groups threatens the success of peace talks and raises the prospect of violent  confrontations  between  factions.  A  ceasefire  had  first  been  declared  in  October  2015  and  was  then  extended in April 2016. Nevertheless, government forces engaged in a concerted bombing campaign in  the Jebel Marra area of Darfur, reportedly involving the use of chemical weapons against civilians. Despite  these setbacks, the renewal of the ceasefire in October 2016 appears to have resulted in a decrease in  violence  and  both  the  government  and  rebel  groups  have  given  concessions  in  what  appears  to  be  an  effort  to  build  trust  between  long‐standing  adversaries.  However,  a  rift  within  the  Sudan  People’s                                                               22  NATO Civil‐Military Fusion Centre (2012).  5.   18  Sudan IDP Profiling Preparation   June 21, 2017  Liberation Momvement (SPLM)‐North, one of the main armed rebel groups, threatens the success of peace  talks and raises the prospect of violent confrontations between factions.23  30. Tensions between Sudan and South Sudan did not cease after the secession of the South in 2011.  While the 2005 Comprehensive Peace Agreement (CPA) set the stage for the secession of the South in  2011, armed confrontations, particularly over the oil‐rich region of Abyei, continue between Sudan and  South Sudan.24    31. Natural disasters and environmental degradation have also been both causes and consequences  of forced migration. Droughts, flooding, and heat waves are common in Sudan. The country's inherent  vulnerability to such extreme weather events reflects the fact that food security is mainly determined by  rainfall,  particularly  in  rural  areas  where  more  than  65%  of  the  population  lives.  Natural  disasters  and  environmental degradation have often been direct push factors for forced displacement (Table 1). On the  other hand, internal displacement increases the competition over scarce resources in receiving areas and  results in environmental degradation, increasing the risk of violent conflict.25   Table 1: Flood‐related displacement in Sudan.  Start date  End date  Displacement (no. of households)  1‐Aug‐13  10‐Sep‐13  283,646  10‐Aug‐14  13‐Aug‐14  154,000  25‐Jul‐14  4‐Aug‐14  33,000  16‐Jul‐15  19‐Aug‐15  4,736  2‐Aug‐15  4‐Aug‐15  3,575  Source: IDMC.    32. Sudan is highly vulnerable to climate change and climate variability. Climate scenarios analysis  indicates that the average temperature is expected to rise significantly. By 2060, projected temperature  ranges from 1.5° C to 3.1° C during August and between 1.1° to 2.1° during January. Average rainfall is  expected to decrease by about five percent during the rainy season. Such changes in temperature and  rainfall  will  affect  adversely  agricultural  productivity,  the  mainstay  of  a  large  fraction  of  the  rural  population, water resources, and health. The interaction of multiple factors – endemic poverty, ecosystem  degradation, natural disasters, protracted conflicts, and limited access to capital, markets, infrastructure,  and technology – have all weakened people’s ability to adapt to climate change.26                                                                   23  ACLED (2017).  24  World Bank (2015b).  25  GoS (without date).  26  GoS (without date).  19  Sudan IDP Profiling Preparation   June 21, 2017  III. Conceptual framework  Durable Solutions  33. The  UN’s  Guiding  Principles  on  Internal  Displacement  provide  an  advocacy  and  monitoring  framework for  the assistance  and protection needs of the internally displaced.  The Principles list the  rights and guarantees that should be extended to IDPs during all stages of displacement.27 While not legally  binding, the Guiding Principles provide a framework that is consistent with international human rights,  humanitarian law and analogous refugee law. Among other principles, they state that “displacement shall  last no longer than required by the circumstances” (principle 6). While the text does not refer to durable  solutions, principles 28‐30 articulate relevant principles that define when such a solution is achieved. They  establish,  among  other  things,  that  IDPs  should  fully  participate  in  the  planning  and  management  of  achieving durable solutions, that they should be assisted in recovering property and possessions, that they  should not be discriminated against as a result of their displacement, that they should have the right to  participate fully and equally in public affairs at all levels, and that they should have equal access to public  services.  34. The African Union Convention for the Protection and Assistance to IDPs (Kampala Convention)  is the world’s first continental instrument that legally obliges signatories to protect and assist IDPs. The  convention  restates  the  validity  of  the  Guiding  Principles.28  It  adopts  a  comprehensive  approach  that  envisages different roles for various actors across all phases of displacement, including the achievement  of durable solutions. Adopted in 2009, it came into force by the end of 2012. The Convention’s Article 11  obliges  states  to  seek  lasting  solutions  to  displacement  by  promoting  and  creating  the  conditions  for  voluntary and sustainable return, local integration, or settlement elsewhere in the country to take place  in safety and dignity. It recognizes IDPs’ right to a free and informed choice, and obliges state parties to  consult them about the settlement options available. It also recognizes the need to establish simplified  procedures for the resolution of property disputes.29 However, Sudan is not a signatory of the Kampala  Convention.30   35. The  IASC  Framework  on  Durable  Solutions  for  IDPs  further  clarifies  the  concept  of  durable  solutions and provides general guidance on how to achieve them. The IASC Framework31 restates some  of  the  key  principles  established  in  earlier  frameworks,  e.g.  the  primary  responsibility  of  national  authorities and the notion that the needs, rights, and legitimate interests of IDPs should be given priority.  It further clarifies that the search for durable solutions should be seen as a gradual process of reducing  displacement‐related needs. It acknowledges the complexities involved and notes that the process will  typically require the coordinated and timely engagement of various actors.   36. A durable solution is achieved when internally displaced persons no longer have any specific  assistance  or  protection  needs  linked  to  their  displacement.  In  addition  to  an  immediate  need  for  humanitarian assistance, forced displacement often results in a host of other conditions that equate to a  reduction  of  the  set  of  basic  capabilities  of  those  affected.  For  instance,  those  affected  often  find  themselves deprived of the material means they relied upon for their livelihoods. They often have suffered                                                               27  UN OCHA (2014a).  28  AU (2009).  29  IDMC (2015b).  30  IDMC (2014)  31  Brookings (2010).  20  Sudan IDP Profiling Preparation   June 21, 2017  violence, including, in many cases, the loss of relatives and friends, resulting in wounds both physical and  psychological. Moreover, they often find themselves in settings in which competition for resources is fierce  and violence and insecurity are common. The IASC Framework establishes that a durable solution to this  condition of forced displacement is achieved when the displaced no longer have any specific displacement‐ related  assistance  and  protection  needs  and  can  enjoy  their  human  rights  without  discrimination  on  account of their displacement.   37. Achieving a durable solution to displacement‐related needs can be sought through return, local  integration, or resettlement. In general terms, there are three developments that can be part of a durable  solution to forced displacement: (1) reintegration or voluntary repatriation, the return of the displaced  person  to  her  place  of  origin;  (2)  local  integration,  the  permanent  settlement  in  the  area  in  which  the  displaced person initially took refuge; and (3) resettlement and integration in a third place, either inside  the country of origin or abroad.32 While none of these actions will by themselves resolve displacement‐ related needs, considering all three of these possible outcomes is important when exploring the viability  of a durable solution.  38. Voluntary  repatriation  can  constitute  a  durable  solution,  but  its  viability  depends  on  the  experience of the displaced during their displacement and on conditions in the place of origin. Voluntary  repatriation  usually  requires  the  end  of  a  conflict  or  natural  disaster.  It  may  also  have  psycho‐social  benefits in that it puts an end to the sense of instability and insecurity that the displaced often experience  as a result of being forced from home. On the other hand, the notion of home may change over the course  of displacement,33 which in turn will affect the prospect for successful reintegration as a durable solution.  In addition, what used to be home to IDPs may be a place in which they have experienced violence and  abuse. And these associations may remain a strong psychological barrier to repatriation even after then  end of conflict.34  39. Ideally,  enabling  voluntary  repatriation  is  supported  by  the  local  government  and  the  international  community.  Both  the  local  government  and  the  international  community  have  a  role  in  ensuring  that  returnees  will  encounter  conditions  that  allow  them  to  overcome  displacement‐related  needs. UNHCR activities to this end include legal advice and assistance for refugees, the organization of  ‘go‐and‐see’  visits,  the  provision  of  updated  information  on  the  country  or  region  of  origin,  and  the  sponsoring  of  housing  and  property  restitution.  Above  all,  all  actors  involved  in  the  process  have  a  responsibility to verify that return qualifies as voluntary.   40. Local integration can be an alternative durable solution for displaced persons.  If the conditions  for voluntary repatriation or resettlement are not met, local integration in the current refuge location may  be  a  viable  durable  solution  as  long  as  the  process  allows  the  displaced  to  ultimately  overcome  displacement‐related  needs.  Local  integration  will  typically  be  aided  by  the  involvement  of  host  communities as well as forward‐looking support that allows the displaced to successfully integrate and  build livelihood strategies.   41. The  third  possible  durable  solution,  resettlement,  involves  displaced  persons  relocating  to  a  third location where in due time they are allowed to settle permanently. IDPs may be unable or unwilling  to return home – for instance, because of protracted conflict or persecution – and may have needs that                                                               32  Brookings (2010).  33   Ghanem (2003).  34  Lie (2004).  5.   21  Sudan IDP Profiling Preparation   June 21, 2017  cannot be addressed adequately in their current location. In these situations, voluntary resettlement may  be the only viable durable solution. At a minimum, it requires that the displaced find physical and legal  protection, including access to civil, political, economic, social, and cultural rights at the same level as those  enjoyed  by  the  new  host  communities.35  Joint  efforts  between  governments  and  international  organizations  are  typically  conducive  to  integration  in  that  they  promote  activities  that  generate  employment and educational inclusion.   42. The planning of policies to achieve durable solutions requires a cross‐sectoral approach. IDPs’  lack  of  capabilities  resulting  from  displacement  usually  manifests  itself  in  multiple  dimensions.  Operationalizing the durable solutions framework for analysis and policy‐making should strive to cover as  many relevant dimensions as possible. Organized around the themes of physical, material, and legal safety,  the  IASC  Framework  suggests  eight  criteria  that  may  be  used  to  monitor  progress  towards  durable  solutions:  (1)  safety  and  security;  (2)  an  adequate  standard  of  living;  (3)  access  to  livelihoods;  (4)  restoration  of  housing,  land,  and  property;  (5)  access  to  documentation;  (6)  family  reunification;  (7)  participation in public affairs; and (8) access to effective remedies and justice.  43. More recently, the Regional Durable Solutions Secretariat (ReDSS) proposed a set of indicators  to operationalize the DS framework. ReDSS, a body managed by a coalition of NGOs, proposed a tentative  list of indicators that can be used to monitor progress towards achieving durable solutions. ReDSS argues  that  its  framework  is  “a  rapid  assessment  tool  that  offers  a  snapshot  in  time  to  assess  to  what  extent  durable solutions for displaced populations have been achieved in a particular context.”36 However, they  also acknowledge the need to adjust indicators to local context.   44. The themes and indicators that are most relevant chiefly depends on the local context. Context  knowledge  will  typically  provide  priors  regarding  the  salience  of  information  warranted.  These  can  be  informed  through  knowledge  of  the  history  of  conflict  and  displacement,  qualitative  reports  by  stakeholders  and  affected  populations,  as  well  as  through  data  collection  efforts  that  may  not  have  focused specifically on informing durable solutions. In subsequent sections, this report will detail a survey  instrument  from  which  a  large  number  of  indicators  to  monitor  and  inform  durable  solutions  can  be  constructed, covering all dimensions of the durable solutions framework and allowing for the construction  of a majority of the indicators proposed by the ReDSS.   Benchmarking criteria  45. In  addition  to  the  cross‐sectoral  framework  to  inform  durable  solutions,  a  comprehensive  assessment requires benchmarking IDPs’ livelihoods. The durable solutions framework discussed in the  previous sections defines durable solutions and puts forward a sectoral framework that can be used for  analysis and policy‐making. However, the viability and desirability of a durable solution will depend not  only on the current state of affairs for those affected, but also on trajectories and aspirations. While the  durable solutions framework recognizes the primacy of informed and voluntary choices by those affected,  it  is  largely  silent  on  how  the  trajectories  of  displacement  result  in  current  needs  and  aspirations,  an  understanding of which can be crucial to the process of achieving durable solutions. Three benchmarking  criteria can help to identify sustainable durable solutions for displaced persons: cause‐based, needs based  and solutions‐based benchmarking criteria.                                                                35  See http://www.unhcr.org/resettlement.html. Accessed 5/2/2017.  36  ReDSS (2016).  22  Sudan IDP Profiling Preparation   June 21, 2017  46. Cause‐based criteria focus on the motives that originally led people to flee. Once the cause of  displacement ceases to exist (i.e.  the end of a conflict or a change of government), IDPs may be able to  return  to  their  homes.  On  the  other  hand,  if  the  conditions  at  the  place  of  origin  have  not  improved  significantly and conflict‐related hardship becomes protracted, local integration or resettlement will likely  emerge as the more viable durable solutions. It should also be noted that the end of a conflict is necessary,  not sufficient, for return to constitute a durable solution: even if the immediate cause of displacement  may no longer be a relevant consideration, return may still not be a durable solution. In fact, conditions  on the ground may have changed in ways that make a return unlikely within a reasonable period of time.   47. Needs‐based criteria focus on whether displaced persons still have needs deriving from their  displacement.  If  displaced  persons  do  not  show  any  displacement‐related  needs  or  vulnerabilities,  displacement ends. This model is applicable where there is a clear understanding of what needs should be  considered. Even if security and protection are provided, displaced persons can have additional needs.  Once  returning,  resettling,  or  attempting  to  integrate  locally,  other  specific  needs  can  surface:  lack  of  shelter,  lack  of  economic  opportunities,  lack  of  livelihoods,  and  other  deprivations  derived  from  displacement.  48. Solutions‐based  criteria  apply  when  the  displaced  returned,  integrated  locally,  or  settled  in  another part of the country. Solutions‐based criteria are forward‐looking in that they are informed chiefly  by  IDPs’  aspirations.  It  is  important  to  understand  how  these  aspirations  change  over  time  during  displacement and how changing conditions in the area of origin and the current place of residents change.    Figure 6: Framework for the analysis of typologies of displacement.  Source: Authors’ illustration.  49. The  combination  of  benchmarking  criteria  with  the  cross‐sectoral  dimension  of  the  durable  solutions framework results in a powerful analytical tool.  Understanding cause‐, needs‐, and solutions‐ based  criteria  across  all  sectors  relevant  to  displacement  provides  a  broad  evidence‐base  for  the  formulation  of  effective  policies  to  arrive  at  durable  solutions.  Datasets  that  provide  detailed,  cross‐ sectoral information about causes for displacement, past livelihoods, current needs, and aspirations at the  23  Sudan IDP Profiling Preparation   June 21, 2017  level of households will allow for the identification of relationships or trajectories that can be followed to  the most likely durable solution (Figure 6).   50. A  large  subset  of  the  information  required  can  and  should  be  obtained  directly  from  those  affected. As mentioned previously, IDPs’ own perceptions and aspirations should be at the center of any  policy‐making  with  the  aim  to  achieve  durable  solutions.  At  the  same  time,  much  of  the  information  required  to  analyze  displacement‐related  needs  and  trajectories  can  only/best  be  obtained  from  IDPs  directly. It therefore seems natural to use a survey instrument as the primary source of data.    51. Sustainability of durable solutions should be based on agreed benchmarks drawn from different  sources (including the Guiding Principles on Internal Displacement). Sustainability should encompass all  groups of displaced persons –IDPs and refugees – and all host communities affected. Importantly, ensuring  sustainability  requires  taking  into  account  the  political  situation  and  socio‐economic  conditions  that  caused displacement and assessing the reasons for the lack of national protection and the nature of the  conflict as well as how these conditions can impact the process of reconciliation.      24  Sudan IDP Profiling Preparation   June 21, 2017  IV. What is known about IDPs, other displaced groups, and host communities?  Data availability and measurement issues   52. The nature of forced displacement is associated with specific measurement issues that introduce  large  uncertainties  in  estimates  of  IDP  stocks  and  flows.  Estimated  and  verified  numbers  of  IDPs  can  differ, for instance, because registries are established by different actors and for different purposes. Some  areas  may  not  be  accessible  to  enumerators  because  of  on‐going  conflicts  or  natural  disasters.  Furthermore,  methodologies  in  identifying,  registering,  and  verifying  IDPs  and  other  displaced  groups  differ across agencies (Box 1). Information is scarce regarding IDPs living outside of camps, displacement  caused by natural disasters, and repeated displacement.37 Data‐related knowledge gaps are discussed in  more detail in chapter V.  53. Data collection efforts related to IDPs and returnees have focused on Darfur. Publicly available  data and reports often focus on Darfur, the region which has produced and hosted the largest number of  IDPs since 2003. Relatively comprehensive and up‐to‐date information is available on the demographic  profile of IDPs and refugees in camps and selected settlements in Darfur. Additional regions for which IDP,  returnee and refugee data is collected include South Kordofan and White Nile, which is consistent with  data  collection  efforts  being  carried  out  in  the  most  conflict‐affected  areas  to  the  extent  possible.  Demographic and food security profiles pooling all residents are available for nationally representative  samples.  However,  they  do  not  generally  allow  differentiating  between  IDPs  and  host  community  members.  54. Fragmented  data  collection  often  prevents  meaningful  comparisons  between  different  subgroups such as IDPs and host communities.  While different data systems have been established in  Sudan, they have often been created with a specific objective and often a focus on a subpopulation in  order  to  inform  narrow  interventions.  The  majority  of  existing  data  systems  aims  to  understand  the  situation of either IDPs, refugees, or host communities. Yet the data produced do not allow for, say, a joint  assessment of IDPs and the communities in which they live. In addition, existing data systems focus on  different indicators for different populations, are produced with different levels of granularity, and often  have  limited  thematic  scope  as  a  result  of  the  producers’  programmatic  focus  and  funding  limitations  (Table  2).  As  a  result,  the  scope  for  systematic  comparisons  between  different  population  groups  and  rigorous quantitative assessments of overall impacts of displacement on affected populations is severely  restricted.                                                                37  IDMC (2017a).  25  Sudan IDP Profiling Preparation   June 21, 2017  Table 2: Established data systems in Sudan  Agency  Data Tool  Description  Data in public domain  Transparency  IOM   Displacement  › Different tools for registration, tracking, and  Aggregated  Very  Tracking  monitoring of population movements  demographics and  restricted:  Matrix (DTM)  › Data include demographics, vulnerabilities, and  vulnerabilities for newly  information on  needs of IDPs, refugees, returnees, and ‘affected  registered/verified (DTM  methodology,  populations’; location assessments of camps,  factsheets 2014‐2016)  references and  village assessment in places of origin, and  sample usually  destination  missing  › DTM used in Sudan since 200438  WFP  IDP Profiling39  › Used in Sudan since 2015 to measure  Summary reports for  Medium to  vulnerability towards food insecurity   some camps  high:  › Covers camps in Darfur  information on  Food Security  › Bi‐annual household surveys in IDP and refugee  Summary reports for  methods  Monitoring  locations in states of Darfur, West and South  different states (Darfur:  publicly  System  Kordofan, While Nile, Blue Nile and Kassala.  2009‐2016)  available,  (FSMS)40  › Uses Emergency Food Security Assessment  difference  (EFSA)  between tools  Other tools41  › Comprehensive Food Security and Vulnerability  Summary reports for  not always  Assessments (CFSVA),42 Annual Food Security  different states (Darfur:  clear  and Livelihood Assessments (FSLA, Darfur: 2004‐ CFSVA 2007&2011,  unknown),43 Emergency FSA, Annual Crop and  Emergency FSA 2006‐ Food Supply Assessment Missions (CFSAM),   2009)  Monthly Market Bulletins  UN  Humanitarian  › Available for Sudan 2015‐2017  Aggregated numbers of  Low: some  OCHA  Needs  › Estimated people in need of different types of  people on need (2015‐ information  Overview  humanitarian assistance for IPDs, refugees,  2017)  but no details  returnees, and residents  available   Inter‐ Joint  › Used e.g. for rapid needs assessments,  Some mission reports  High if mission  agency  assessment  monitoring, and return verification  available   reports  missions  › Different agencies leading missions  available  Source: Authors’ illustration.    55. A  lack  of  transparency  in  data  provision  is  a  major  constraint  for  data  comparability  and  complementarity.  In  many  cases,  only  data  aggregated  by  locality  (usually  at  the  level  of  states)  or  vulnerability group (e.g. pregnant women) are made available to the public. In addition, basic information  on the nature of published data is often either inconsistent, not provided in sufficient detail, or missing  altogether. The most crucial gaps include information about population concepts (e.g., new arrivals vs.  (estimated) stocks; verified vs. unverified numbers), the extent to which aggregated data are based on  systematic samples or censuses, and coverage. Living conditions of displaced persons are often described  in summary reports published by humanitarian actors. But it is not always clear whether findings are based  on  anecdotal  evidence  or  on  more  systematic,  quantitative  accounts.  In  sum,  a  general  lack  of  transparency regarding information sources and limitations is hindering the identification of quantitative  data and knowledge gaps.   56. There  is  a  discrepancy  between  the  scope  of  data  collected  and  information  available  to  stakeholders  outside  implementing  agencies.  Comparing  available  survey  instruments  (Appendix  B)                                                               38  IOM (2016a). According to IOM (2009), the agency maintains a database of registered IDPs and aid beneficiaries in Darfur since 2005. The  DTM was initiated in Darfur and was later extended to other areas, including Kordofan. IOM (2016b).  39  WFP (2017a).  40  WFP (2016a).  41  WFP (2017b).  42  WFP, State Ministries of Agriculture and State Ministry of Health (2011).  43  GoS, WFP and FAO (2009).  26  Sudan IDP Profiling Preparation   June 21, 2017  reveals  that  a  wealth  of  information  is  being  collected  at  the  level  of  households,  individuals,  and  villages/settlements. Summary reports in the public domain are relatively scarce and information on the  frequency and coverage of data collected is not publicly available. This is creating de facto knowledge gaps  for outsiders despite the availability of data within implementing agencies.   Box 1: Differentiating between groups – a matter of definition  There is no uniform approach to classifying IDPs, refugees, returnees, and other population groups of  interest.  Despite  using  similar  general  definitions,  agencies  operationalize  them  differently  when  collecting data in the field or when combing data sources to produce summary statistics.44 Other terms  that  are  ambiguous  to  begin  with  and  frequently  used  in  official  statistics  without  providing  a  clear  definition include ‘people of concern,’ ‘conflict‐affected’ areas or population groups, and ‘protracted’  situations and ‘resident population.’   Associated  inconsistencies  contribute  to  a  lack  of  data  comparability  and  are  often  poorly  documented. For defining IDPs, for instance, UN OCHA, UNHCR, and IOM all refer to the United Nations  Guiding  Principles  on  Internal  Displacement  which  acknowledge  ‘natural  or  human‐made  disasters’  among reasons to flee. Yet, in UNHCR’s official statistics – used in this report – the “total number of IDPs  […] constitute only those individuals that are internally displaced by conflict‐induced situations and are  protected/assisted by the organization […].”45 NRC and IDMC confirm that different definitions of IDPs  are used across agencies when producing IDP numbers for Sudan.46  The term ‘returnees’ is also associated with a high degree of ambiguity. Return has both a geographical  and a temporal dimension that is defined differently by different agencies. Commonly, the term is linked  to  a  persons’  previous  status  of  displacement  and  seeks  to  acknowledge  that  returnees  have  displacement  related  needs  “during  an  interim  period  until  they  have  re‐integrated  in  their  communities.”47 Since integration processes are context‐ and even individual‐specific, so is the length  of  this  interim  period.  Another  conceptual  difficulty  arises  in  situations  of  prolonged  displacement:  What should be considered the place of origin/return for second generation IDPs who were born and  brought up in camps?  A clear identification of different migrant groups is of particular relevance for several reasons.  First,  general  challenges  of  establishing  an  accurate  picture  of  the  extent  of  and  changes  in  forced  displacement  should  not  be  aggravated  by  a  poor  operationalization  of  critical  concepts.  Second,  different migrant groups are expected to face diverse vulnerabilities, needs, and aspirations. Related to  this,  proper  identification  of  different  population  groups  allows  differentiating  displacement‐  from  development‐related  needs,  which  is  relevant  to  inform  evidence‐based  policies.  This  enables  investigating questions, including ‘To what extent do migration‐group specific vulnerabilities differ from  other  group‐specific  vulnerabilities  (e.g.  regional  groups,  or  age/gender  groups)?’  and  ‘What  are  differences and commonalities in livelihoods and aspirations between different population groups?’                                                               44  Sarzin (2017) and IDMC (2017b)  45  UNHCR 2016a   46  NRC and IDMC (2010)  47  Communications with Alam Khan from UN OCHA Sudan, March 2017.  5.   27  Sudan IDP Profiling Preparation   June 21, 2017  Demographic and regional profile  Counting IDPs, refugees, and returnees  57. Estimates suggest high numbers of IDPs, refugees, and asylum‐seekers in Sudan. In 2016, UNHCR  estimated a total of 3.57 million refugees, asylum‐seekers, IDPs, and ‘others of concern’ to the agencies  work in Sudan. A large majority within this group, 3.2 million individuals, classified as IDPs.48 UN OCHA, on  the other hand, reported 794,000 refugees alone. Part of the discrepancy is due to a temporal reporting  gap  of  several  months  and  refugees  arriving  in‐between.  According  to  UN  OCHA,  there  are  around  0.5 million returnees, out of which 209,000 returned in between 2014 and 2016.49   58. IDP figures are difficult to compare across sources since different types of statistics are reported  (Table 3). Available figures from IOM’s displacement tracking matrix, for instance, refer to IDPs who are  newly registered or verified within a given year, whereas UNHCR and HAC report estimated stock numbers  based  on  various  sources.  The  2008  census,  which  distinguishes  between  people  living  in  private  households,  nomads,  IDPs,  and  refugees,  should,  in  theory,  provide  a  reliable  headcount  ‘baseline’  for  IDPs, yet substantial discrepancies compared to other sources with the same reference year suggest that  IDPs are under‐reported, failed to identify as IDPs, or both (Box 3). New displacement as reported by UN  OCHA for 2008 alone exceeds the number of individuals who identified themselves as IDPs in the census.50   59. Because of gaps in coverage and repeated displacement, the number of newly registered and  verified IDPs differs from the number of newly displaced. In its dashboards, for instance, the IOM reports  newly registered or verified persons in a given year. These numbers differ from the total number of new  displacements for two reasons: First, the geographic coverage of new registrations is influenced by funding  constraints. Thus, registration exercises do not always cover the total caseload of individuals reported to  the IOM.51 Second, a person newly registered in a given location is not included if she has been displaced  repeatedly (Table 3).  Table 3: IDP figures for Darfur across agencies and time    2008  2014  2015  2016  States  Census1*  IOM2  IOM3  HAC4  IOM5  UN OCHA6**  UNHCR7***  (stock)  (registered  (registered  (stock as of  (registered  (newly displ.  (stock)    in 2014)  in 2015)  Nov)  in 2015)  and verified)  North Darfur  31,379  105,926  8,497  472,902  39,885  52,929    West Darfur    ‐  ‐  266,744  1,202  179    79,500    Central Darfur  31,747  1,687  410,258  ‐  15,665  2,607,670  South Darfur    112,622  ‐  642,899  33,627  28,950  East Darfur  102,497  35,483  109,164  184,385  ‐  ‐  Total  213,376  285,778  119,348  1,977,188  74,714  97,723  2,607,670  Notes: * The states Central Darfur and East Darfur were formed at the beginning of 2012. ** It is assumed that numbers refer to  registrations in 2016 (rather than stocks of registered IDPs). Source reports an additional 99,275 unverified IDPs. Data shared  seems incomplete. ***It is assumed that the number refers to Darfur (rather than North Darfur only, which is unclear from  source). Only conflict‐related displacement considered.                                                               48  UNHCR (2016c). UNHCR collects estimated numbers from various sources. Therefore, numbers have to be considered as estimates.  49  UN OCHA (2016 a).  50  UN OCHA (2016a): the figures of newly displaced in Darfur refer to the “number of people newly displaced per year including returns”.  51  IOM DTM Dashboard 2015  28  Sudan IDP Profiling Preparation   June 21, 2017  Sources: 1Data from Population and Housing Census 2008, 2IOM 2014 map on population movements, 3IOM DTM Dashboard  2015, 4HAC 2015 Table of affected people, 5IOM DTM Dashboard 2016, 6OCHA 2016 Table of Darfur IDPs and returnees, 7UNHCR  2016 map of refugees, asylum‐seekers, IDPs and others of concern.    60. The number of newly displaced persons in Darfur peaked right after the beginning of the war in  2003. In the following years, new displacement has remained on‐going but varied in intensity. At the onset  of the war in Darfur in 2003, close to one million people were initially displaced for the first time (Figure  7).52 The number of newly displaced persons significantly decreased after 2004. The persistent occurrence  of  new  displacement  implies  that  displacement  in  Darfur  is  often  protracted.  The  displaced  are  often  prevented from permanently returning home.  61. Identification of protracted cases is difficult in the data. Given that needs are correlated with the  duration and trajectory of displacement, understanding  the complexities of protracted displacement is  important  for  the  identification  of  durable  solutions.  However,  returns,  multiple  displacements,  new  displacements, and varying degrees of integration, make it difficult to determine whether people are in  protracted displacement.53 Further, protracted displacement is not consistently defined across agencies.54  For  instance,  the  IOM’s  2006  Intentions  Survey  identified  an  average  time  in  displacement  of  17 years  among IDPs in Khartoum.55   Figure 7: Number of people newly displaced in Darfur per year (2003‐2016), including returns    Source: UN OCHA (2016a).    Where do they live?  62. Almost  two  million  of  Sudan’s  estimated  3.2  million  IDPs  in  2015  were  located  in  Darfur.56  Between 2003 and 2013, the war in Darfur had already internally displaced an estimated 1.7 million people  and driven another 280,000 into Chad. Yet the entire population of Darfur – around eight million as of  2013 – has been affected by the conflict. Around 40 percent of Darfur’s population has received monthly  food aid for the past decade.57 New displacement related to inter‐communal conflicts in the region peaked                                                               52  UN OCHA (2016a). From the source it is not clear how returns find entry in this registration.   53  ODI (2015).  54  According to UNHCR a protracted refugee situation is “one in which refugees find themselves in a long‐standing and intractable state of limbo.  Their lives may not be at risk, but their basic rights and essential economic, social and psychological needs remain unfulfilled after years of  exile.” From a quantitative perspective, UNHCR defines a protracted situation as one in which “25,000 or more refugees from the same  nationality have been in exile for five or more years in a given asylum country” (UNHCR 2004). The WFP, on the other hand, defines long‐term  displacement as a state of displacement that lasts more than two years (WFP 2016a).  55  IOM (2006). IDP Intentions Survey North Sudan according to: IDMC (2010). Original source cannot be found any longer.  56  HAC (2015) and IDMC (2015a). 3.2 million refers only to the number of displaced resulting from conflict.  57  GoS (2013).  5.   29  Sudan IDP Profiling Preparation   June 21, 2017  a second time at around 430,000 individuals in 2014 after a low of 80,000 in 2011.58 The majority of the  displaced are likely to be protracted cases.  63. While IDPs are concentrated in Darfur, refugees are mainly located in the eastern and southern  parts  of  the  country.  According  to  the  2008  census,  Darfur  is  home  to  almost  one  quarter  of  Sudan’s  overall population. It hosts the largest number of IDPs, concentrated in Western and Southern Darfur, yet  a  much  smaller  number  of  refugees.  While  the  absolute  number  of  IDPs  seems  underreported  in  the  census by a large margin, their relative distribution and the regional concentration is consistent with other  reports (Figure 8). During the census, refugees were mainly concentrated in Kassala and Sennar, at the  boarders to Eritrea and Ethiopia. The number and distribution of refugees has significantly changed since  then,  partly  as  a  result  of  former  South  Sudanese  IDPs  being  re‐classified  as  either  stateless  or  South  Sudanese refugees after the secession in 2011 and partly because of an increase in the number of refugees  from South Sudan since 2013.  Figure 8: Location of IDPs and refugees ‐ Census 2008  Northern Red Sea River Nile N. Darfur 31,379 Khartoum Kassala N. Kordofan Al Jazirah Al Qadarif W. Darfur White Nile Sennar 80,507 S. Darfur Blue Nile S. Kordofan 102,539 Upper Nile N. Bahr E lG U nity W arrap W. Bahr El G Jonglei Sudan Lakes South Sudan Number of IDPs W. Equatoria Number of refugees Cent. E E. E quat. quatoria   Note: The size of each pie represents the number of displaced individuals, with the actual number of displaced for  North, West, and South Darfur reported in addition.  Source: 2008 Census.  64. South  Kordofan  receives  large  number  of  refugees  fleeing  the  conflict  in  South  Sudan.  While  Sudan’s  population  is  concentrated  in  and  around  Khartoum,  the  three  provinces  of  Darfur  together  register almost a quarter of the country’s population. South Kordofan and Blue Nile, which are among the  areas  experiencing  on‐going  conflicts,  had  a  population  share  of  4.6  and  2.7 percent,  respectively,                                                               58  UN OCHA (2016a, 2016b).  5.   30  Sudan IDP Profiling Preparation   June 21, 2017  according to the 2008 census (Table 4). Compared to nationally representative data collected in 2014,59  the population share in Darfur slightly decreased, while South Kordofan’s share increased to 8.8 percent  of the population.60 This is consistent with considerable numbers of South Sudanese refugees fleeing to  South Kordofan since 2013.61  Table 4: Sudan population figures – Census 2008 and MICS 2014    Census 2008  MICS 2014  State  Population size  Share  Share  Red Sea  1,368,190  4.5  3.1  Northern  686,079  2.2  2.5  River Nile  1,097,240  3.6  4.0  White Nile  1,713,320  5.6  5.2  North Kordofan  2,889,224  9.5  6.7  Al Qadarif  1,334,864  4.4  5.1  Blue Nile  816,153  2.7  3.9  South Kordofan  1,389,068  4.6  8.8  Sennar  1,272,719  4.2  3.9  Khartoum  5,181,123  17.0  13.8  Al Jazirah  3,548,877  11.6  15.6  Kassala  1,769,647  5.8  4.3  North Darfur  2,090,251  6.9  7.4  Western Darfur  1,292,798  4.2  5.1  Southern Darfur  4,054,958  13.3  10.6  Total population  30,504,511  100  100  World Bank popul. estimate62  34,470,138      Notes: Population size includes IDPs and refugees. Individual survey weights used.  Source: Data extract from Census 2008; MICS Final report (CBS and UNICEF Sudan, 2016)    65. Displacement often occurs within the state of origin. In the 2008 census, the vast majority of  IDPs, more than 95 percent, identified their current state to coincide with their usual state of residence.  They also reported to have lived in this state continuously for an average of 18 years and 93 percent of  IDPs, more than the national average of 88 percent, reported to live in the same state where they were  born. The majority of IDP locations across Darfur is located less than 60 kilometers from the area of origin  of the displaced. Although many IDPs reportedly commute seasonally to their areas of origin to tend to  their land and check their property, more lasting returns have been prevented by high levels of insecurity.63  66. In  Darfur,  the  majority  of  IDPs  is  registered  in  camps  that  today  resemble  permanent  urban  settlements,  a  trend  that  adds  to  registers  as  a  form  of  rapid  urbanization.  In  2016,  an  estimated  80 percent of IDPs in Darfur were registered in camps. While comparable data for earlier years are lacking,                                                               59  Multiple Indicator Cluster Survey 2014. (CBS 2014).  60  In the MICS 2014 data comprised of Southern and Western Kordofan.  61  IOM (2016c).  62  World Bank (2017b).  63  GoS (2013).  5.   31  Sudan IDP Profiling Preparation   June 21, 2017  around  one‐third  of  Darfur’s  IDPs  reportedly  lived  in  “large,  highly  visible  camps”  in  2008.64  By  2010,  however, many IDP camps in Darfur resembled permanent urban settlements. Often being located in close  proximity to towns and developing service delivery and trade links, camps add to general urbanization  trends and associated resource pressures.65 Displacement‐related urbanization is also observed in towns  directly.  El  Fasher  town  neighboring  Abu  Shouk,  for  instance,  had  a  population  of  around  200,000  individuals  before  the  onset  of  the  Darfur  conflict  in  2003.  By  2009,  however,  the  population  was  estimated  to  be  around  540,000.  More  than  34,000  IDPs  were  estimated  to  reside  in  El  Fasher  town,  whereas surrounding IDP camps had a total estimated population of around 150,000 individuals.66  67. Rapid urbanization is associated with an urbanization of poverty and increased vulnerabilities  among  the  urban  poor  and  the  displaced.  Urban  populations  are  highly  dependent  on  infrastructure  networks and complex supply systems, which are put under pressure by rapid population gains. Natural  and  manmade  disruptions  to  these  systems  are  also  driven  by  rising  population  figures  and  disproportionally affect the urban poor. Poor urban dwellers as well as IDPs and refugees residing in towns  are increasingly concentrated in informal settlements. These are often characterized by a lack of access to  risk‐reducing  infrastructure,  including  safe  housing,  basic  services,  and  adequate  governance.67  Yet,  persisting disparities in average development outcomes between rural and urban areas in Sudan keep up  ‘regular’ migratory pressure on towns and cities.68 Displacement only accelerates urbanization. While only  20 percent of Darfuris lived in or near urban centers before onset of the 2003 Darfur conflict, by 2010, this  figure had risen to half of the population.69  Demographic profile  68. The  gender  composition  and  age  distribution  among  the  newly  registered  and  verified  IDPs  differ from national averages: IDPs are more likely to be women and children. Compared to the national  average (MICS survey, Table 6), the proportion of children among newly registered IDPs is high (reference  made to newly registered IDPs Table 5).70,71 While 54 percent of the total population in Sudan in 2014 were  younger  than  20 years  old,  the  share  of  children  below  18 years  among  IDPs  in  2015  was  65 percent.  Among adults between 18 and 59 years, women are heavily overrepresented among IDPs (57 percent in  2015 and 54 percent in 2016 were women, respectively). Many IDP households have experienced the loss  of a male household head, so that these households are headed by women.72                                                               64  Khan (2008); estimation for 2016 based on HAC figures for the number of IDPs in Darfur (as of Nov 2015) and UN OCHA (2016a) for the  number of registered IDPs.  65  NRC/IDMC (2010) and UN Sudan (2010).  66  DFID and UN‐Habitat (2009). IDP camps close to El Fasher town are: Abu Shouk, Zamzam, and Al Salaam.  67  World Bank (2015c) and GoS (2013).  68  IMF (2013).  69  UN Sudan (2010).  70  CBS (2014).  71  Note that age cut‐offs differ: for newly registered and verified IDPs children range between 0 and 17 years and in MICS data children are 0‐19  years old.  72  SUDO UK (2012).  32  Sudan IDP Profiling Preparation   June 21, 2017  Table 5: Demographic profile and age distribution among IDPs    Totals of IDPs registered and verified in 2015 and 2016    IOM 2015 DTM Dashboard (Jan‐Dec)    States: South Kordofan, North Darfur, South Darfur, West Darfur  Age group  Total  Female  Male  0‐4 years  34,502  24%  17,251  12%  17,251  12%  5‐17 years  58,942  41%  30,190  21%  28,752  20%  18‐59  47,441  33%  33,065  23%  14,376  10%  years  60+ years  2,875  2%  1,438  1%  1,438  1%  Total  143,760  100%  81,943  57%  61,817  43%    IOM 2016 DTM Dashboard (Jan‐Dec)*  States: South Kordofan, North Darfur, South Darfur, Central Darfur, West Darfur  Age group  Total  Female  Male  0‐4 years  42,346  18%  21,173  9%  21,173  9%  5‐17 years  108,218  46%  54,109  23%  54,109  23%  18‐59  77,635  33%  47,051  20%  30,583  13%  years  60+ years  7,058  3%  3,529  1.5%  3,529  1.5%  Total  235,257  100%  125,862  54%  109,395  47%  Note: The table reports numbers for newly registered and verified IDPs in 2015 and 2016..  Source: IOM (2015c). DTM Dashboard Jan‐Dec 2015; IOM (2016b), DTM Dashboard Jan‐Dec.73                                                                 73  Higher numbers for newly registered and verified IDPs might also stem from the fact that as an additional state Central Darfur is included  in 2016. There is no consistent information for comparable states over the years publicly available from IOM.  5.   33  Sudan IDP Profiling Preparation   June 21, 2017  Table 6: Demographic profile and age distribution in population according to MICS (2014)    MICS weighted and stratified age  and sex distribution 2014    (covering        all states  in Sudan)     Total  Female  Male  0‐4  15,05 15%  7,439  7.5%  7,611  7.7%  years  0  5‐19  38,67 39%  19,391  19.6 19,28 19.5 years  9  %  7  %  20‐59  38,52 39%  20,024  20.3 18,50 18.7 years  7  %  2  %  60+  6,574  7%  2710  2.7%  3865  3.9%  years  98,83 100%  Total  49,564  50.2 49,26 49.8 0  %  5  %  Notes: The MICS is a survey primarily on women’s and children’s health status that also covers basic household demographics. It  is not possible to distinguish between IDPs, refugees, and host population and all groups are covered.   Source: Central Bureau of Statistics‐Republic of Sudan. (2014). Multiple Indicator Cluster Survey (MICS) 2014 Final Report.    69. Refugees are younger while the gender distribution is less lopsided.  Compared to the national  average (Table 6)74 and to the newly registered and verified IDP figures, refugees (Table 7) are more likely  to be children below the age of 15.75 There is no gender gap in the number of adults.76  Table 7: Demographic profile and age distribution among South Sudanese refugees      Totals of between Jan‐Dec registered and verified refugees        IOM 2016 DTM Dashboard (Jan‐Dec)      (States: South Kordofan, East Darfur)        Age group  Total  Female  Male  0‐4 years  12,602  17%  5,748  8%  6,853  9%  5‐14 years  34,488  47%  15,844  22%  18,644  25%  15‐49 years  25,129  34%  13,854  19%  11,275  15%  50+ years  1,474  2%  663  1%  811  1%  Total  73,693  100%  36,110  49%  37,583  51%  Notes: Total numbers calculated according to percentage information on age distribution. Numbers might diverge slightly due to  rounded percentages. Only South Sudanese refugees are included.  Source: IOM (2016b). DTM Dashboard Jan‐Dec 2016.    70. Registered and verified returnees are younger than the national average, but have comparable  shares of individuals of age 60 and older. The share of children of age 17 and younger is similar to the IDP  group  (with  59 percent  in  2015,  and  63 percent  in  2016,  respectively)  but  younger  than  the  national  average  (Table  6).  The  gender  composition  among  the  newly  registered  returnee  figures  is  equal  (50.2 percent are female and 49.8 percent are male, Table 8). The share of older people of age 60 and  more is comparable to the national average, but  higher than for the newly registered and verified IDP  figures.                                                               74  CBS (2014).  75  Note that age cut‐offs differ: for newly registered and verified refugee children age groups range between 0 and 14 years and in MICS data  children are 0 to 19 years old.  76  Note that age cut‐offs for the migrant groups differ: IOM groups age cohorts from 0 to 4 and 5 to 14 years for refugees, and for IDPs the age  cohorts range from 0 to 4 and from 5 to 17 years of age.  34  Sudan IDP Profiling Preparation   June 21, 2017  Table 8: Demographic profile and age distribution, among returnees      Totals of between Jan‐Dec registered and verified returnees      IOM 2015 DTM Dashboard (Jan‐Dec)       (States: South Kordofan, North Darfur, West Darfur)     Returnees  Total  Female  Male  By  0‐4  34,407  21%  17,944  11%  16,463  10%  age  years  group  5‐17  62,229  38%  30,456  19%  31,773  19%  years  18‐ 56,467  34%  29,303  18%  27,163  17%  59  years  60+  11,524  7%  4,939  3%  6,585  4%  years  Total  164,626  100%  82,642  50.2%  81,984  49.8%                      IOM 2016 DTM Dashboard (Jan‐Dec)      (States: South Kordofan, North Darfur, West Darfur, Central Darfur)   Returnees  Total  Female  Male  By  0‐4  21,620  19%  11,493  10%  10,127  9%  age  years  group  5‐17  50,068  44%  23,896  21%  26,172  23%  years  18‐ 35,275  31%  18,206  16%  17,069  15%  59  years  60+  6,827  6%  3,471  3%  3,357  3%  years  Total  113,790  100%  57,047  50%  56,743  50%  Notes: Total calculated from age distribution. Minor discrepancies are due to rounding percentages.  Source: IOM (2015c). DTM Dashboard Jan‐Dec 2015; IOM (2016b). DTM Dashboard Jan‐Dec 2016.    Informing durable solutions – vulnerability and needs  71. Most IDPs rely on humanitarian assistance or fall short of meeting their basic needs.77 In 2016,  for instance, two thirds of displaced people were struggling to meet their basic food needs by themselves.  Other  unmet  needs  included  lack  of  access  to  water  and  sanitation,  healthcare,  adequate  shelter,  protection, and education as well as the absence of socioeconomic opportunities to rebuild their lives.   72. The  demand  for  humanitarian  assistance  changes  with  fluctuations  in  local  food  availability,  demography,  and  settlement  patterns.  Despite  on‐going  conflicts  in  Darfur,  South  Kordofan,  and  Blue  Nile, the estimated number of individuals in need of humanitarian assistance declined in 2017 compared  to 2016 from 5.8 to 4.8 million. The decline was driven by an increase in agricultural output in 2016, which  reduced  the  need  for  emergency  food  and  livelihoods  assistance.78  Changing  settlement  patterns  and  changes in the demographic composition of communities also affect the need and scope for humanitarian                                                               77  E.g. UN OCHA (2016a, 2015a).  78  UN OCHA (2016a).  5.   35  Sudan IDP Profiling Preparation   June 21, 2017  assistance.  Impact  channels  are  related  to  physical  and  effective  population  access  and  to  livelihood  opportunities available to those inside and outside camps.  73. Protection needs are particularly pronounced among women and children. Among IDPs in Sudan,  single‐headed households tend to be female‐headed79 and, as mentioned above, children and women are  overrepresented. Both groups risk being exposed to violence and exploitation during everyday activities  such as fetching water or wood and visiting markets. In addition, children are at increased risk of being  victims of human traffickers, recruited by armed groups, or exploited for child labor. Increased risks for  women  include  sexual  gender‐based  violence  (GBV),  which  is  frequently  reported.80  Child  labor  and  prostitution are also reported to be among negative coping mechanisms to prolonged displacement and  a lack of alternative livelihood strategies. 81 In addition to these two groups, unaccompanied elders and  individuals who are chronically ill or physically or mentally disabled also have specific needs.   74. Despite  high  shares  of  women  and  children  among  newly  registered  IDPs,  there  are  other  vulnerable groups that need special consideration.  In 2016, around ten percent of the newly registered  IDPs are considered as vulnerable (around 8 percent in 2015). The largest group among the vulnerable  IDPs in 2015 and 2016 – classified by IOM – is the group of lactating women (47.6 percent in 2015 and  42 percent  in  2016,  respectively),  followed  by  the  group  of  elderly  persons  of  age  60 years  and  more  (25.7 percent in 2015 and 29.8 percent in 2016, respectively) and pregnant women (11.8 percent in 2015  and  13.1 percent  in  2016).  Women  are  most  affected  by  vulnerabilities  (Table  9).  This  is  considerably  relevant  since  many  households  are  headed  by  women.  It  is  worth  noting  that  these  groups  are  not  mutually exclusive, so multiple vulnerabilities can occur simultaneously.82   75. Newly  registered  IDPs  were  less  likely  to  include  vulnerable  groups  compared  to  newly  registered returnees. Around 16 percent of returnees are classified as vulnerable by IOM in both 2015 and  2016 (Table 8 and Table 10), compared to around eight to ten percent of the newly registered IDPs (Table  5 and Table 9). While lactating women are the largest vulnerable group among IDPs, individuals of age 60  and older accounted for almost 40 percent of the returnee populatoin. The group of lactating women is  large among both groups, refugees and returnees.83                                                               79  RRF and IOM (2016).  80  IOM (2017b) and GoS (2013).  81  UNHCR (2014a), Khan (2008), NRC/IDMC (2010), RRF and IOM (2016).  82  IOM (2015c); IOM (2016b).  83  IOM (2015c); IOM (2016b). Newly registered IDPs in 2015 were 143,760 individuals with 11,203 vulnerable persons and in 2016 newly  registered IDPs were 235,257 individuals with 23,891 vulnerable persons. Newly registered returnees in 2015 were 164,626 individuals with  26,044 vulnerable persons and in 2016 newly registered returnees were 113,790 individuals with 17,603 vulnerable persons.  36  Sudan IDP Profiling Preparation   June 21, 2017  Table 9: Vulnerable groups among IDPs  Totals of IDPs registered and verified in  2015 and 2016  (States: South Kordofan, North Darfur, South Darfur, West Darfur in 2015;   South Kordofan, North Darfur, South Darfur, Central Darfur, West Darfur in 2016)   Vulnerable groups    2015  % of  2016  % of  DTM  vulnerable  DTM  vulnerable  Dashboard  persons  Dashboard  persons  (Jan‐Dec)  (Jan‐Dec)  Old (60+)  2,875  25.7  7,130  29.8  Chronically ill  480  4.3  427  1.8  Mentally ill/challenged  80  0.7  180  0.8  Physically  446  4.0  1,167  4.9  disabled/handicapped  Pregnant  1,317  11.8  3,131  13.1  Single parent  228  2.0  1,311  5.5  Unaccompanied elder  290  2.6  423  1.8  Unaccompanied minor  126  1.1  85  0.4  Lactating  5,334  47.6  10,037  42.0  Child‐headed HH  27  0.2  ‐  ‐  Total    11,203  100  23,891  100  Sources: IOM (2015). DTM Dashboard (Jan‐Dec 2015) and IOM (2016). DTM Dashboard (Jan‐Dec 2016).    76. Access to education for school‐aged children is currently lacking or inadequate for 1.7 million  children, out of which more than half are IDPs. Providing access to education is an important protection  strategy  that  can  provide  a  safe  space  and  contribute  to  creating  positive  prospects  for  children  and  adolescents. The very high concentration of children and adolescents among IDP and refugee populations  underscores the potential role of providing education. As a safe space for bringing together children and  adolescents from various ethnic backgrounds, educational facilities also have a role to play for fostering  social  cohesion.  Given  high  levels  of  child  malnutrition,  schools  can  also  be  used  to  target  nutrition  programs.  77. Among non‐IDP populations, the need for humanitarian assistance is also substantial. While IDPs  form the largest group in need of humanitarian assistance, around half of the estimated 4.8 million people  in need are residents, refugees, or returnees (Figure 9). The spatial distribution of need is concentrated in  the most conflict‐affected regions, yet pockets of severity are found throughout the country, particularly  in Red Sea state (Figure 10). This distributional pattern has not substantially changed since 2015, the first  year for which needs assessment data are available.84   78. While  needs  vary  across  population  groups,  there  is  substantial  overlap  in  the  areas  of  food  security, livelihood assistance, and health. Notably, out of those estimated in need for protection, around  20 percent belong to the resident population (Figure 9). Protection needs arise to host communities in  displacement and return areas and imply restrictions and threats to freedom of movements and personal  security.85  Needs  are  pronounced  in  the  health  sector  which  is  poorly  functioning  throughout  Sudan.86  Health facilities across the country have been affected by conflict‐related damages in infrastructure and a                                                               84  UNed OCHA (2016a, 2015a, 2014b).  85  GoS (2013).  86  UN OCHA (2015a).  5.   37  Sudan IDP Profiling Preparation   June 21, 2017  lack of staff and medicine. Water‐borne diseases are a general health risk factor wherever water resources  are scarce and they most seriously affect displaced communities – since they usually lack resources to  purify water – and children below the age of five. Due to a lack of access to medical treatment, disease  outbreaks pose a greater risk in remote locations.87                                                               87  RRF and IOM (2016).  38  Sudan IDP Profiling Preparation   June 21, 2017  Figure 9:Humanitarian needs for different population groups    Source: UN OCHA (2016a).    39  Sudan IDP Profiling Preparation   June 21, 2017  Table 10 Vulnerable groups among refugee and returnee population  Totals of between Jan‐Dec registered and verified refugees and returnees        (States: South Kordofan, North Darfur, South Darfur, West Darfur in 2015;         South Kordofan, North Darfur, South Darfur, Central Darfur, West Darfur in  2016)   Vulnerable groups              2015  2016     DTM Dashboard  DTM Dashboard       (Jan‐Dec)  (Jan‐Dec)  Returnees  % of  Refugees  % of  Returnees  % of  vulnerable  vulnerable  vulnerable  persons  persons  persons  Old (60+)  10,264  39.4  1,474  28.2  6,827  38.8  Chronically ill  1,596  6.1  259  5.0  908  5.2  Mentally ill/challenged  1,025  3.9  159  3.0  636  3.6  Physically  1,123  4.3  454  8.7  1,323  7.5  disabled/handicapped  Pregnant  2,775  10.7  312  6.0  2,453  13.9  Single parent  3,496  13.4  222  4.3  573  3.3  Unaccompanied elder  80  0.3  241  4.6  171  1.0  Unaccompanied minor  515  2.0  390  7.5  344  2.0  Lactating  4,732  18.2  1,707  32.7  4,303  24.4  Child‐headed household  438  1.7  ‐  ‐  65  0.4  Total  26,044  100  5,218  100  17,603  100  Sources: IOM (2015). DTM Dashboard (Jan‐Dec 2015); IOM (2016). DTM Dashboard (Jan‐Dec 2016).  79. Child  and  maternal  malnutrition  has  been  chronic  across  all  regions  of  Sudan  for  decades.  Stunting is a sign of chronic malnutrition and implies that children are unlikely to reach their full growth  potential. Nationally representative surveys conducted in 2013 and 2014 indicate that two‐thirds of all  localities88 in Sudan had high stunting rates among children below the age of five. At the same time, around  30 percent of localities saw critical prevalence rates of severe acute malnutrition (SAM) among children, a  life‐threating condition.89 Maternal malnutrition is widespread as well with up to 62 percent of mothers  under‐nourished in some locations. Only two‐thirds of the population have access to improved sources of  drinking water and only one third has access to improved sanitation.90                                                                  88  The S3M survey differentiates between 184 localities. Sudan is comprised of 18 states. (Sudan National S3M, 2014)  89  Sudan National S3M (2014), UN OCHA (2016a).  90  CBS and UNICEF Sudan (2016).  40  Sudan IDP Profiling Preparation   June 21, 2017  Figure 10: The severity of need for humanitarian assistance in 2017    Notes: Severity based on the concentration of people in need across the following sectors: education, shelter and  household items, food security and livelihoods, health, nutrition for children below age 5, protection, water and  sanitation.  Source: UN OCHA (2016a).    Box 2: UN OCHA’s People in Need Assessment  For IDPs, the needs assessment focusses on the access to basic public services of individuals living  in camps and settlements. Other methodological details are not clearly specified.  Resident populations are considered in need of humanitarian assistance if their food security  status based on the Integrated Food Security Phase Classification (IPC) falls into the categories  ‘crisis’ or ‘emergency.’  All children under the age of five estimated to suffer from Global Acute Malnutrition (GAM) are  considered to be in need of humanitarian assistance.  All refugees are considered to be in need of humanitarian assistance.  Sources: UN OCHA (2016a, 2015a).  Informing durable solutions – restoring livelihoods   80. Tensions over scarce resources pose crucial barriers for IDPs to return or to integrate locally and  vulnerabilities of IDPs and host communities increase over time. In rural areas where IDPs do not live in  large camps, IDPs compete over (grazing) land, water resources, and access to other basic services with  41  Sudan IDP Profiling Preparation   June 21, 2017  nomadic‐ or semi‐nomadic groups. Tensions between tribes and between long‐term and newly displaced  groups also arise in large camps which tend to comprise heterogeneous groups.91 Vulnerabilities of IDPs  and  host  communities  are  multi‐dimensional  and  intensify  over  time  as  resilience  declines.  Cycles  of  tension throughout all stages of displacement and protracted insecurities weaken economic and social  capacities of communities to integrate IDPs, returnees, and other displaced groups and negatively affect  the resilience of all affected individuals.   81. IDPs  identify  safety,  security,  and  access  to  basic  services  as  main  pre‐conditions  for  their  durable return while many others want to integrate locally. Major concerns of IDPs also relate to the  separation of families during new displacements and seasonal movements, and the occupation of their  land by strangers, which underscores the relevance of establishing community‐based protection networks,  mechanisms for family reunification and mechanisms for settling displacement related land tenure and  property  issues.92  While  both  the  DS  framework  and  the  2011  Doha  Document  for  Peace  in  Sudan  acknowledge  the  importance  of  voluntary  returns  for  achieving  durable  solutions,  the  GoS  continues  focusing  on  returns  to  IDPs’  areas  of  origin.93  Due  to  security  concerns  and  available  livelihood  opportunities, a substantial number of IDPs in Darfur is expected to choose integrating locally, particularly  if they are displaced in urban or peri‐urban areas.94  82. Solving the issue of land disputes is crucial to achieving durable solutions. Empirical data on the  share of IDPs or refugees who relied on their land before being displaced is lacking but the role of land  disputes  in  past  and  on‐going  conflicts  is  widely  acknowledged.  Mechanisms  to  settle  these  disputes,  however,  are  largely  missing.  Returning  IDPs  and  refugees  can  find  their  ‘freed  up  land’  occupied,  for  instance  by  pastoralists.  Settling  claims  over  such  land  is  a  sensitive  topic  aggravated  by  the  fact  that  customary land tenure practices can differ from state laws.95   83. Weak  institutional  capacities  and  a  lack  of  trust  in  institutions  are  important  risk  factors  for  stability and for finding durable solutions. A lack of good governance and accountability, poor capacities  of the police and judiciary system, and a lack of guidelines and follow‐up regarding reconciliation strategies  are acknowledged as important risk factors by local governments and community leaders.96 A lack of trust  in institutions, between the population and authorities, within and between communities is identified as  one of the most critical challenges for stability and peace in Darfur and beyond. In 2013, it was reported  that the security sector, dominated by specific ethnicities, is perceived to contribute to the marginalization  of  other  ethnic  groups.  A  severe  lack  of  resources  was  further  reported  for  the  police  resulting  in  underpaid,  understaffed,  and  poorly  functioning  police  stations.  At  the  same  time,  traditional  dispute  resolution mechanisms are fragile or non‐existent. In sum, security, justice and reconciliation systems are  poorly functioning and keep being identified as key priorities for finding durable solutions.97  84. Return dynamics are complex and not always directed to locations of origin. Returnees in Darfur  are reported to have sought to settle in locations different from their habitual place of residence before  being displaced. Location choices were driven by access to basic services and livelihood opportunities.98                                                               91  Khan (2008).  92  UN OCHA (2016a, 2015a), NRC/IDMC (2013), UNHCR (2016b, 2014a).  93  Khan (2008), World Bank (2017a).  94  NRC/IDMC (2010).  95  GoS (2013) and UN Sudan (2010).  96  GoS (2013).  97  GoS (2013) and UN Sudan (2010).  98  GoS (2013).  5.   42  Sudan IDP Profiling Preparation   June 21, 2017  Despite  the  population  pressure  put  on  urban  centers,  infrastructure  and  services  are  perceived  to  be  better in urban areas. This is expected to steer location choices of “a substantial portion of IDPs”99 towards  urban centers.   85. Returnees expect basic services and  credible signs for future improvements – a key finding for  informing durable solutions more generally.100 In the 2013 Darfur Recovery & Reconstruction Strategy by  the GoS, consultations with community leaders were conducted over several years. Community leaders  were reported to point out that prospective returnees do not expect fully functioning services upon their  return. Instead, they expect credible signs for future improvements – a finding which is likely to extend to  IDPs that choose to resettle or even to integrate locally.   What is known about Abu Shouk?  86. Abu Shouk is among the largest IDP camps in Darfur and has become a town‐like location. It was  opened in 2004 and officially stopped  receiving  new IDPs in 2007. Camp inhabitants have experienced  protracted displacement and have been receiving humanitarian assistance for several years. In 2009, the  camp  was  populated  by  an  estimated  54,000  individuals  living  in  13,000  families  with  22 percent  of  individuals  being  children  below  five years  of  age.  In  2012,  according  to  qualitative  reports,  the  camp  hosted an ethnically diverse population of about 80,000 individuals.101 However, in 2013, IOM and WFP  carried out a biometric identification exercise that only identified a total population of 44,531 individuals.  This exercise found that around 60 percent of IDPs originated from El Fasher region, 102 which is consistent  with a general pattern of regional and within‐state displacement.  87. Different programs aim to provide new livelihood opportunities in Abu Shouk. In order to build  resilience and reduce aid dependency, IOM has implemented vocational training and income generating  activities for IDPs and host community members in several locations including in Abu Shouk. In addition to  agricultural training, courses include welding, auto mechanics, construction, food processing, handicraft,  business planning and others.103 For Darfur, the focus was on vocational training, on‐the‐job training and  an animal health services.104  88. Vulnerabilities in Abu Shouk and El Fasher town are interrelated and priority needs are reported  for the WASH sector. Different types of water sources are used in Abu Shouk, including pipelines from El  Fasher town. By 2007, the increase in demand reduced water tables in reservoirs, resulting in dried up  boreholes.  Water  services  in  El  Fasher  town  were  estimated  to  serve  only  40 percent  of  the  town  population in 2009. At the same time, water distributed by aid agencies to IDPs in camps was partly sold  to residents from El Fasher town, reportedly distorting the businesses of urban water sellers who could  not compete with lower prices offered. Other trade links include livestock traders who were reported, for  instance, to have their livestock slaughtered in Abu Shouk which enabled them to avoid paying taxes in El  Fasher town. In 2015 still, the main camp market is used by everyone in the larger area.105                                                               99  UN Sudan (2010).  100  GoS (2013).  101  SUDO UK (2012).  102  IOM (2015a).   103  IOM (2015b).  104  IOM (2014, 2016d).  105  DFID and UN‐Habitat (2009) and IOM (2015a).  5.   43  Sudan IDP Profiling Preparation   June 21, 2017  89. Between 2015 and 2016, food security in Abu Shouk deteriorated and was significantly worse  than  in  surrounding  areas.  Food  insecurity  in  the  IDP  camps  surrounding  El  Fasher  deteriorated  substantially  between  the  beginning  of  the  harvest  seasons  in  2015  and  2016:  The  prevalence  of  food  insecure households increased from 38 to 61 percent. Compared to IDP camps, food security in the larger  El  Fasher  region  was  considerably  better.  The  latest  figures  for  the  region  refer  to  2014  and  find  18 and 24 percent of the population to be food insecure, a lower level compared to other regions across  Darfur.106   90. Basic services are available in Abu Shouk, yet significant gaps remain. Access to basic services  was  reportedly  lacking  in  Abu  Shouk  in  2012.  While  significant  gaps  in  the  provision  of  health  services  remain,  by  2015,  the  Ministry  of  Health  and  a  number  of  NGOs  operated  several  health  centers.  In  addition,  the  camp  operates  primary  as  well  as  secondary  education  facilities,  serving  15,000  enrolled  students. However, observers of the situation report high dropout rates due to family issues and economic  constraints.107  91. The  following  profile  of  the  population  of  Abu  Shouk  IDP  camp  is  based  on  two  datasets  provided by WFP. The first dataset provides aggregate data at the level of 25 IDP camps in Darfur, including  Abu Shouk. It provides information about the gender of household heads, primary sources of livelihoods,  access to land, and information about the main material used in the construction of dwellings.   92. The authors also obtained access to a version of the underlying household‐level census of Abu  Shouk. This dataset, on a version of which aggregates in the cross‐camp data are based, is a key means to  administer  food  assistance  programs.  It  covers  almost  64,000  individuals  in  about  11,500  households.  Almost all households hold WFP ration cards. While WFP has been providing food assistance for many  years, including, since 2011, in the form of coupons that can be redeemed for food items at private stores  that  participate  in  the  program. The  census  includes  more  variables,  including  information  about  households’  demographic  make‐up  (albeit  no  household  roster),  socio‐demographic  information  about  the  household  head,  expenditures  by  broad  categories,  assets,  and  sources  of  income,  among  other  items.108                                                               106  WFP (2016a, 2017a).  107  SUDO UK (2012) and IOM (2015a).  108  Population figures for Abu Shouk differ to a small degree from those in the cross‐camp data because of differences in vintage. However,  discrepancies are minor. Error! Reference source not found.  44  Sudan IDP Profiling Preparation   June 21, 2017  Figure 11: Comparison of Abu Shouk to other IDP camps in Darfur.    Notes: Data for 25 IDP camps in Darfur were collected between 2015 and 2017. The orange bars represent data for Abu Shouk.  Shares reported in panel (d) apply only to those that reported being involved in crop production. Source: Authors’ analysis based  on WFP data.    93. The  majority  of  households  in  Abu  Shouk  and  other  camps  is  headed  by  women.  Currently,  around  80 percent  of  households  are  headed  by  women.  However,  while  this  proportion  is  somewhat  higher  than  in  other  IDP  camps  in  Darfur,  it  never  falls  below  60  percent  and  the  average  is  about  75  percent (Figure 11Error! Reference source not found.).   94. In contrast to other IDP camps in Darfur, the primary source of income for IDPs in Abu Shouk is  non‐agricultural labor. Three out of four households in Abu Shouk rely on non‐agricultural labor as their  primary source of income (Figure 11). This is the highest share among the Darfuri IDP camps in the WFP  sample.  While  there  is  considerable  variation  in  the  primary  sources  of  income  across  camps,  non‐ agricultural  labor  on  average  provides  income  for  around  one‐third  of  IDP  households  and  agricultural  45  Sudan IDP Profiling Preparation   June 21, 2017  labor  for  another  third.  Among  households  involved  in  crop  production  –  only  about  one‐third  in  Abu  Shouk – 81 percent have no land access. This compares to an average across camps of only 46 percent.  95. Dwellings in Abu Shouk are more likely to be constructed out of mud; mats, thatches, and plastic  are common in other camps. More than half of the households in Abu Shouk reside in dwellings that are  mainly constructed with mud (Figure 11). This is by far the highest rate in the sample of IDP camps. Mats,  thatches, and plastic are common building materials in other camps. Stone houses are rare in all camps.  Taken together, data on livelihoods and dwellings support the notion that Abu Shouk is more urbanized  and more permanent than other IDP camps in Darfur.   96. More than half of camp residents, 35,000 out of 64,000, are below the age of 16 and there is one  child under the age of five for every household in Abu Shouk. More than two‐thirds of household heads  are between the age of 30 and 59. Only about one in six are headed by elderly and a similar proportion is  headed by individuals below the age of 29. A small fraction, about half of a percent, is headed by children  below the age of 18. As mentioned earlier, almost four in five households in Abu Shouk are headed by  women.   97. Monthly  per  capita  expenditure  is  low  and  hint  at  high  levels  of  extreme  poverty;  yet  measurement problems may be one part of the explanation. Average monthly per capita expenditure is  only SDG87, about USD13, a number that would surely indicate very high levels of extreme poverty. A  caveat for our purposes is that, in the WFP census, individuals are only asked about broad expenditure  categories, not expenditure on an item‐by‐item basis. In addition, items received in‐kind, which are likely  to account for a large share of total consumption in this setting, are not captured.109     Figure 12: Households by gender and education of household heads (percent).  100 80 Tertiary 60 Secondary 40 Primary No education 20 0 Men Women All   Source: Authors’ analysis based on WFP data.    98. Education levels of Abu Shouk’s IDPs are low.  Three out of five household heads in Abu Shouk  are registered as having no education. For comparison, the national average, according to data from the  2014 MICS, stands at 46 percent of all household heads having no education. To some extent these low  levels of education are explained by a high‐incidence of female‐headed households which tend to be less  educated. Less than one‐third of men heading households have no education while close to two‐third of                                                               109  WFP complements this information with information from the recent FSMS which provides information about households’ ability to purchase  the local food basket. This basket contains sorghum, onions, vegetable oil, milk, cow meat, goat or sheep meat, dry tomatoes, and sugar. The most  recent calculations indicate that more than nine out  of ten households in Abu  Shouk are unable to purchase the local food  basket  (personal  communication with WFP staff).    46  Sudan IDP Profiling Preparation   June 21, 2017  women heads have no education. However, it may also reflect lower access rates in in Darfur than in the  past and an adverse impact of protracted conflict no investment in human capital.   Figure 13: Monthly per capita expenditure by characteristics of the household head.  (a) Monthly per capita expenditure by education  (b) Monthly per capita expenditure by gender  of household head (SDG) of household head (SDG) 160 160 140 140 120 120 100 100 80 80 60 60 40 40 20 20 0 0 No Primary Secondary Tertiary All Men Women All education   Source: Authors' calculation based on WFP data.    99. Per capita household expenditure increases with household heads’ level of education. Average  per capita expenditure per month is only SDG83 for households in which the head has no formal education  and increases to more than SDG 140 for households whose heads are highly educated. Households headed  by women have about 17 percent lower levels of per capita expenditure on average (Figure 13).   Figure 14: Household livelihoods and per capita expenditure.  (a) Primary source of income (b) Average monthly per capita  expenditure by primary activity (SDG) 0 50 100 150 None None Agricultural labor Agricultural labor Begging Begging Business Business Cropping Cropping Fuel collection Fuel collection Livestock Livestock Non‐ag. labor Non‐ag. labor Salaried work Salaried work Transfers Transfers Average   Source: Authors' calculation based on WFP data.    100. Three out of four households in Abu Shouk rely on “non‐agricultural labor” as their main source  of  income;  however,  the  category  is  too  broad  to  be  informative  in  this  context.  The  large  share  of  47  Sudan IDP Profiling Preparation   June 21, 2017  households that relies on labor outside of agriculture likely speaks to the high rate of urbanization the  region has experienced in recent years. Less than three percent of households rely on either agricultural  labor,  cropping,  or  livestock  raising.  One  in  ten  households  reports  having  no  primary  income  source,  around six percent rely primarily on transfers, four percent rely on running a business (about ten percent  of these indicate that they run a shop), and less than one percent report relying on salaried work (Figure  14).  Differences  between  households  headed  by  women  and  household  headed  by  men  are  minor.  Intriguingly, salaried work, running a business, and providing agricultural labor are associated with higher  per capita expenditure. But as these findings rely on few observations, they should be interpreted only  cautiously.    Figure 15: Expenditure shares by quintile.  100 80 60 40 20 0 Bottom 20% 2 3 4 Top 20% Food Fuel Water Education Health Other     Source: Authors’ calculation based on WFP data.    101. Although receipt of basic food items through food assistance programs is common, households  in  Abu  Shouk  spend  the  largest  share  of  their  budgets  on  food.  The  share  of  expenditure  on  food  decreases from an average of almost 70 percent for the bottom 20 percent to 47 percent among wealthiest  20 percent (Figure 15). Apart from food, households spend significant portions of their budgets on fuel  (10‐15  percent),  followed  by  water  (6‐10  percent),  education  (6‐9  percent),  health  (3‐10  percent),  and  transport  (2‐5  percent).  The  share  that  households  expend  on  these  consumption  categories  is  always  increasing  in  total  expenditure,  particularly  for  transport  and  health.    For  instance,  health  expenditure  increases  from  three  percent  among  the  poorest  20  percent  to  more  than  ten  percent  among  the  wealthiest 20 percent and transport expenditure increases from two percent to five percent.  102. Household own few assets and only few have direct access to land, but more than one‐fourth of  households  own  at  least  one  cellphone.  The  census  collects  very  limited  data  on  assets.  However,  ownership of cars, carts, wheelbarrows, water tanks, farm tools, and cellphones as well as livestock by  type of animal are recorded at the household level. The data indicate that households own very few assets,  in fact, 70 percent report not owning any assets at all. Less than one percent own a car, a wheelbarrow, a  cart, or a water tank.  Less than ten percent own any livestock. While more than seven in ten households  are not involved in crop production and only a very small fraction report owning any land, four percent  rent land. Almost one in four households report having no access to land, but it is unclear to what extent  48  Sudan IDP Profiling Preparation   June 21, 2017  this implies that they would have demand for land. On the other hand, more than one in four households  owns at least one cellphone.    103. While the data are used here to produce a profile of IDPs in Abu Shouk, the motivation for the  census  is  to  identify  beneficiaries  of  food  assistance  programs.  As  a  result,  there  are  obstacles  that  prevent analysts from using the data to inform durable solutions: First, the census does not provide any  information about aspirations and histories of displacement, key areas to inform durable solutions from a  cause‐ and solutions‐based perspective. Second, the census is not based on a household roster. Rather  than eliciting basic information about each household member (such as gender, age, education, etc.), it  only  provides  aggregate  information  about  household  demographics.  This  is  a  major  shortcoming.  For  instance, it is not possible to construct a basic demographic profile of the camp population. And while the  census allows estimation of the total number of orphans, this information cannot be linked to their age.  Hence,  one  cannot  compute  the  number  of  orphans  that  are  also  children  of  a  certain  age.  Third,  the  census allows for some insights into livelihoods of households. Yet in the case of Abu Shouk, it turns out  that the category “non‐agricultural labor,” which constitutes the main source of incomes for a majority of  households,  is  too  broad  to  be  useful  for  comparisons  across  households.110  Finally,  expenditure  data  probably overestimates the extent of poverty due to the use of broad categories and the omission of items  received for free.                                                                    110  On the other hand, it is interesting to see that there are large differences across camps, suggesting that programs to support livelihoods and  create new opportunities would have to differ across camps.     49  Sudan IDP Profiling Preparation   June 21, 2017  V. What are knowledge gaps to inform durable solutions?  Data‐related knowledge gaps  104. There are a number of methodological difficulties in estimating IDP figures, particularly related  to  spatial  and  temporal  data  gaps,  to  including  IDPs  living  outside  camps,  and  to  pooling  data  from  various  sources.  The  nature  of  conflict‐related  displacement  implies  that  some  areas  are  either  not  accessible. As a result, spatial and temporal data gaps exist. Data coverage is best for IDP camps since  some form of systematic registration is often required for the provision of humanitarian assistance. Little  information  exists  on  IDPs  that  reside  outside  of  camps.111  They  risk  being  invisible  since  there  are  no  systematic  registration  efforts,  they  are  more  likely  to  reside  with  relatives  or  more  easily  ‘blend  in’,  especially in urban contexts. Additional complications arise from the need of combing data from various  sources.  IDP  figures  for  Sudan  published  by  UN  OCHA,  for  instance,  use  inputs  from  local  authorities,  government agencies, other UN agencies, and international and national NGOs.112  105. Data related to displacement caused by natural disasters is scarce; IDP data typically refer only  to conflict‐related displacement. Factors culminating into forced displacement are often multi‐faceted in  nature and the (main) cause of displacement is not usually recorded in registration exercises.113 In practice,  conflict‐ and natural disaster‐related reasons can further be mutually reinforcing or overlap, which makes  it difficult to clearly differentiate between the two. It is worth noting, however, that the scale of natural  disaster‐related reasons can be significant and that many IDP estimates are restricted to  conflict‐related  displacement.114 In 2013 alone, the IDMC estimated that flooding in Sudan internally displaced around  320,000 people.115   106. Dynamic  and  complex  population  movements  imply  a  high  degree  of  uncertainty  when  estimating  displacement  stocks  and  flows  at  a  given  point  in  time.  In  Sudan  and  elsewhere,  internal  displacement  has  recurrently  taken  place  on  small  and  large  scales  and  for  different  periods  of  time  stretching from days to years and even decades. Displacement trajectories have been accompanied by  seasonal returns and, in some cases, interrupted by permanent returns or resettlement that later turned  out  to  be  only  temporary.116  Keeping  track  of  these  population  movements  is  inherently  difficult  and  results  in  high  degrees  of  uncertainty  when  estimating  displacement  figures.  In  one  of  their  biometric  verification exercises in North Darfur in 2015, the IOM identified 45 percent of previously registered IDPs  as  having  returned,  being  duplicated  in  the  data  files,  or  being  displaced  to  another  location.117  Acknowledging  that  individuals  can  experience  repeated  displacements,  the  IDMC  sometimes  differentiates between “people displaced” and “incidents/cases of displacement”.118  107. In Sudan and elsewhere, a lack of transparency by data providing agencies adds preventable  uncertainty to population estimates and impedes comparability across space and time.  Uncertainties  are related to a lack of transparency regarding the definition and operationalization of key terms including                                                               111  IDMC (2017a).  112  IDMC (2017a).  113  See Appendix B for an overview of instruments used.  114  IDMC, for instance, reports conflict‐related figures while attempting to estimate both; UNHCR excludes natural disasters from their definition  of forced displacement.  115  IDMC (2017a).  116  UN OCHA (2015a).  117  IOM (2015b).  118  IDMC (2016a).  5.   50  Sudan IDP Profiling Preparation   June 21, 2017  “verified” and “unverified” cases, “returnees” and other population groups (for more details see Box 1).  Metadata is often scarce and data points are labeled inconsistently or ambiguously. Given the politically  sensitive nature of internal displacement, reported figures can be subject to political influence. In addition,  methodologies of data providers can change without explanation.119 This has also been the case in Sudan,  where UN OCHA in 2016 changed the sources for parts of their IDP figures mid‐year between agencies  using very different methodologies.120 Budget‐related constraints that affect the scope of data collection  efforts  can  also  contribute  to  uncertainties  to  the  extent  that  changes  in  coverage,  both  spatial  and  temporal,  are  not  always  clearly  documented.  As  a  result,  coverage‐related  changes  across  time  are  sometimes mistakenly interpreted as changes in the incidence of displacement.121  108. Differences in estimates can be severe and in the extreme cast doubt on using underlying data  to inform targeted policies. In accordance with the aforementioned discussion, estimates of the number  of IDPs can vary substantially. In 2010, for instance, the NRC and IDMC estimated IDP figures for Darfur in  the range between 1.9 and 2.7 million. In 2016, the GoS reported a total number of around 2.3 million  IDPs in “government‐controlled conflict‐affected areas in Sudan”, out of which 0.7 million were estimated  to live outside camps. At the same time, UN agencies and their partners estimated another 0.5 million IDPs  to live outside camps in Darfur and armed movements in the Two Areas estimated an additional 0.5 million  IDPs in locations under their control.122 These large discrepancies cast doubt on the usefulness of the data  for some programming purposes (Box 3).                                                               119  IDMC (2017b).  120  Conversation with IDMC representatives coordinating the estimation of IDP figure in Sudan in May 2017. UN OCHA was reported to change  from using IOM data for parts of their aggregate figure to WFP data. In contrast to the IOM, the WFP uses a regional approach for collecting data  rather  than  differentiating  between  IDPs  and  other  population  groups  on  an  individual  or  household  level.  As  a  consequence,  they  merely  differentiate between IDP dominant, resident dominant and mixed communities (also see GoS, WFP and FAO, 2008).  121  IDMC (2017b).  122  1.6 million registered in camps in Darfur, 0.5 million estimated to live outside camps in Darfur and 0.2 million in South Kordofan and Blue Nile.  (UN OCHA, 2016a).  51  Sudan IDP Profiling Preparation   June 21, 2017  Box 3: The Example of IDPs in Darfur in 2007/ 2008  The example of IDP figures in Darfur for 2007/2008 illustrates a degree of inconsistency that implies  distortions relevant for analytical work and programming. According to the Population and Housing  Census 2008, 213,375 individuals were classified as IDPs in Darfur, while other sources reported up to  2.5 million  IDPs  in  2007.1  Differences  of  this  order  of  magnitude  cast  doubt  on  the  validity  of  using  available micro data for producing representative IDP profiles. There are a number of factors that likely  contributed to this gap and that imply distortions which are relevant for programming purposes and for  achieving durable solutions.  Involuntary return provided a disincentive to register as IDP in the census. At the time of the census,  the government followed a strict return policy by which IDPs were often forced to return.123 Khan (2008)  for instance, reports that “where IDPs have been removed from camps by force, they have often ended  up simply disappearing from official records.” The practice prevented the displaced to self‐identify as  internally displaced in the census.   Another  reasons  why  respondents  may  decline  to  identify  as  an  IDP  are  concerns  over  ownership  rights  in  their  locations  of  origin.  Khan  (2008)  reports  that  there  was  widespread  opposition  to  the  census: “IDPs feared that a census held while so many of them were still displaced would result in the  dispossessions of their land.”   The current place of residence often shapes incentives to self‐identify as an IDP. Many individuals that  ended up in Khartoum and other large cities would qualify as IDPs if one considers the reasons for their  decision to  move. However, reports at the time of the  census  suggest  that  “many of those who are  referred to as IDPs see themselves as migrants”124 and have self‐classified as private households in the  census. On the other hand, non‐IDPs living close to camps may have had incentives to register as IDPs  in camps in order to receive humanitarian assistance;125 yet they may still have self‐classified as private  households in the census.   While these factors contribute to explaining part of the discrepancy in IDP figures, they are unlikely  to account for the entire gap. Based on data used by Khan, at least one third of the estimated 2.5 million  IDPs in Dafur – more than 800,000 individuals – lived in large camps by 2007.126 IDP and refugee camps  were included in the census and it seems unlikely that individuals located in large camps rather than in  informal settlements had the option not to self‐identify as IDPs. There is little in what is known about  the census sampling strategy that would help to explain the gap.127 The large discrepancy illustrates the  difficulty in reconciling the data and the importance of strategic responses.                                                                 123  Khan (2008).  124  Landinfo (2008).  125  DFID and UN Habitat (2009).  126  Khan (2008).  127  The sampling strategy was such that IDP and refugee camps were classified as ‘special populations,’ which was relevant for the assignment of  short form versus long‐form questionnaires. 90 percent of all enumeration areas (EAs) were administered short‐form questionnaires, whereas  long‐form  questionnaires  were  administered  to  individuals  residing  in  the  remaining  EAs  (GoS,  2007).  The  census  data  available  for  analysis  comprises responses to the long‐form questionnaire and covers around ten percent of EAs and 16.6 percent of the population (IPUMS, 2011). But  the census documentation does not include information on the selection of these EAs. Hence, it is possible that EAs comprising IDP camps are  underrepresented in the data sample. However, this should not matter for estimating the total number of IDPs in the census since the data is  delivered with individual‐level survey weights that add up to the total census population.   5.   52  Sudan IDP Profiling Preparation   June 21, 2017  Content‐related knowledge gaps  109. While the data that is currently produced allows for basic demographic profiles and assessments  of food security, significant content‐related knowledge gaps with regard to durables solutions remain.   Content‐related knowledge gaps concern topics going beyond demographic and food security profiles and  covering IDPs and other population groups living outside Darfur, the Two Areas, and Khartoum. Relatively  comprehensive and up‐to‐date data is being collected on the demographic profile of IDPs and refugees in  camps  and  selected  settlements,128  and  on  regional  food  security  profiles  pooling  all  residents.129  Important knowledge gaps exist that go beyond these dimensions, and covering more regions.   110. While the preferential collection of IDP‐related data for the most severely affected regions is  generally justified, the full scale of displacement‐related deprivations can only be assessed by extending  the regional focus. Comparing findings related to an IDP and host community profiling in Darfur to surveys  of a larger geographical reach is important to monitor if a needs‐based focus on Darfur and other regions  hosting  large  IDP  and  refugee  populations  is  warranted.  IDPs  who  are  currently  not  or  only  under‐ represented in existing data collections are those displaced over longer distances (i.e. outside those areas  most severely affected). It is possible that their vulnerabilities, needs, preferred durable solutions and even  their  integration/resettlement  successes  differ  from  other  IDPs.  Investigating  this  issue,  however,  is  beyond the scope of the planned data collection.  Knowledge gaps related to durable solutions  111. Information on aspirations regarding return, resettlement, or local integration is scarce and, if  available,  strongly  focused  on  return.  For  instance,  a  2016  HAC  survey  among  IDPs  in  Darfur  notably  enquired about all three options but the data or results are not currently publically available. The focus on  return has been driven by a strong government priority for this option in the past. In 2010, for instance, a  new government strategy for Darfur was launched that was entirely focused on return.130 At the same  time, it is often assumed that IDPs want to return home eventually. But even if this were true, data to  inform  durable  solutions  may  still  benefit  short‐term  programming  to  alleviate  displacement‐related  shortfalls and that may eventually help individuals to reclaim livelihoods in their area of origin.   112. The voluntary nature of returns and resettlements is not very well understood.  The voluntary  nature of return and resettlement is firmly anchored in the DS framework and acknowledged in the 2011  Doha  Document  for  Peace  in  Darfur  (DDPD).  However,  existing  data  systems  do  not  cover  this  dimension.131  This  knowledge  gap  is  highly  relevant  as  the  current  status  of  policies  that  led  to  forced  returns and resettlements is unclear while reports suggest that they used to be common (Box 1).   113. Information  gaps,  sources  of  information,  and  the  use  of  information  are  not  very  well  understood. In addition to voluntary, the DS framework recognizes the importance of informed decisions.  Relevant  questions  relate  to  what  IDPs  and  other  migrant  groups  know  about  their  options,  return,  resettlement,  or  local  integration;  what  they  would  like  to  know  in  order  to  make  informed  decisions;  where  they  source  their  information  from;  and  how  they  are  using  available  information.  Some  instruments  cover  elements  of  these  questions  but  they  have  not  been  used  among  IDPs  in  Sudan                                                               128  Often under the lead of the IOM.  129  Often under the lead of the WFP.  130  NRC and IDMC (2010).  131  The IOM is enquiring about voluntary returns in a community‐level Returnee Assessment Form, for instance, that was used in Iraq.  53  Sudan IDP Profiling Preparation   June 21, 2017  (Appendix B). Future work may also try to investigate the extent to which IDPs have misinformation or  misperceptions about their options.  114. The  concept  of  a  successful  (re)integration  –  relevant  to  all  options  for  achieving  durable  solutions – is not well understood and needs to be better conceptualized for a meaningful assessment  of  IDPs  self‐determination.  In  particular,  existing  instruments  enquire  about  aspirations  to  eventually  return home. This fills a relevant knowledge gap, yet an affirmative response risks being interpreted as if  no durable solution is possible until individuals return. But especially in protracted conflict, it is possible  that  individuals  and  households  do  manage  to  establish  a  new  livelihood  in  a  different  location  and  overcome  displacement‐related  needs.  It  is  also  relevant  to  explore  at  which  point  IDPs  perceive  themselves to be (re)integrated in their current location. These perceptions will influence their planning  and management of achieving durable solutions. At a minimum, there is a need to more closely enquire  about displacement histories and planning horizons.  115. While immediate/long‐term priorities of IDPs are covered in some existing instruments, little is  known  about  the  capability  of  IDPs  to  create  a  better  future  for  themselves.  What  solutions  for  themselves  do  IDPs  envision?  How  do  they  want  to  contribute  to  their  communities?  What  kind  of  resources do they require to do it? The shift from humanitarian to development assistance, an integral  part of supporting durable solutions, implies the need for IDPs to become less aid dependent and more  self‐reliant.  While  vulnerable  groups  find  ways  to  cope  with  shocks  and  hardship  out  of  necessity,  strategies often reduce productive capacities of households, e.g. by selling productive assets, decreasing  food intake, health and education expenditure. Priorities covered in instruments center around general  categories such as ‘security’ and ‘access to jobs.’ Shedding more light on the aspirations of IDPs regarding  prospective and fulfilling livelihoods could help to inform policies for creating opportunities. That said, a  qualitative interviews and focus group discussions may best be suited to do so.  116. Knowledge gaps exist with respect to the distance of displacement from one’s place of origin  and how this interacts with decisions to return home or seek alternative durable solutions, and with  risks of renewed displacement. Remaining close to ones’ area of origin is likely associated with advantages  in terms of enabling ‘go‐see‐visits’ as to assess return options and tending to one’s land and property as  to potentially minimize destruction, theft, and occupation by others. Staying in contact with community  members  who  chose  or  were  forced  to  stay  may  also  enable  preserving  some  form  of  protective  community structures by finding ways for mutual support. Remaining in close proximity to the conflict is,  however, associated with specific risks. IDPs are at a higher risk of exposure to violence. Men and children  may risk being recruited by armed forces. Repeated displacement and failed returns may be more likely  among IDPs who remain in the vicinity of their original locations. Further, incentives to integrate locally  for the duration of being displaced may be negatively affected, which is particularly disadvantageous if  displacement becomes protracted.   117. Despite frequent reports of sexual GBV, no information is available that allows estimating the  scale of the problem. The sensitive nature of GBV implies difficulties in gathering information about its  incidence. A large number of cases are likely to be unreported. At the same time, there are instruments  and proxy indicators available to approach the issue. Given the persisting vulnerability among IDPs and  other groups to GBV, addressing this knowledge gap is expected to provide valuable insights for policy  making. Whether such questions can be administered without doing harm will depend on the training of  enumerators and available support services.   54  Sudan IDP Profiling Preparation   June 21, 2017  118. Too little systematic knowledge exists about service delivery to population groups outside IDP  and refugee camps. Weak institutions and a lack of trust has been identified as one factor that contributes  to ongoing tensions and renewed conflicts over scarce resources. Collecting data on service delivery to  different  population groups, especially  outside camps, would  contribute to closing relevant  knowledge  gaps.  119. A number of factors have been identified to be relevant for displacement in Sudan that could,  in principle, easily be collected in a survey but that are not included in existing instruments.  Frequent  conflicts  over  resources  are  reported  to  break  out  along  ethnic,  religious,  and  linguistic  lines,  yet  information on these individual characteristics are not collected. While probably feasible, these issues are  sensitive and adequate protocols would need to be put in place to elicit the data (see next chapter).  120. Human trafficking and smuggling are reported to have become increasingly prevalent in Sudan’s  recent  displacement  crisis,  yet  no  information  is  available  that  allows  estimating  the  scale  of  the  problem.  Proxy indicators have been employed in some surveys. IOM’s migrant intention survey, which  was  administered  to  international  migrants  in  Khartoum,  for  instance,  enquired  about  brokers/agents  regarding migration related information or whether refugees had help in crossing borders (Appendix B).  Knowledge gaps related to ReDSS indicators  121. Data for some of the ReDSS indicators are more suited to be collected through community‐level  questionnaires, not household‐level questionnaires. ‘Legal or administrative barriers to employment’ or  the ‘existence of effective and accessible mechanisms to ensure access to land and/or secure tenure,’ for  instance,  are  expected  to  vary  mostly  at  the  regional‐level.  Individual‐level  information  can  provide  insights into the demand for support in these dimensions, which can be influenced by current and aspired  livelihood strategies.   122. A number of indicators proposed are very vague, need to be adjusted to the local context, and  should been understood as sub‐dimensions of the DS framework. An ideal indicator for monitoring and  evaluation  purposes  needs  to  be  verifiable,  specific,  and  applicable  to  a  clear  time  and  reference  population.  Indicators  referring  to  ‘adequate’  access  to  a  given  service,  ‘sustainable  conditions’  and  ‘effective mechanisms’ are too vague to be considered operationalized indicators but should rather be  seen as sub‐dimensions of the DS framework. A careful operationalization, for instance, through suitable  proxy variables, is required that includes adjustments to the local context.   123. Most  dimensions  of  the  DS  framework  are  touched  upon  in  existing  instruments,  yet  information  for  the  reference  population  is  frequently  missing.  The  reference  population  for  ReDSS  indicators,  i.e.  the  population  that  the  situation  of  IDPs  is  compared  to,  either  refers  to  host  communities/local  populations,  national  means,  international  standards,  or  the  situation  before  displacement. However, the situation of IDPs/refugees and 'hosts' is not always collected together and  most instruments do not collect data on the situation before displacement. Thus, most ReDSS indicators  cannot be assessed using a single instrument available so far. Covering both IDPs and host communities,  and  including  recall  questions  on  the  situation  before  displacement,  the  planned  survey  will  fill  crucial  knowledge gaps (Table 11 and Appendix B).  55  Sudan IDP Profiling Preparation   June 21, 2017  Table 11: Durable Solutions Framework and knowledge gaps  data available in Sudan*  data available in Sudan*      planned instrument  planned instrument    Comments  Comments  DS  Selected ReDSS      DS     Selected ReDSS        dimensions  indicators/dimens.  dimensions  indicators/dimens.  Long‐term  Violent crimes/  HH  com  › not all pop.  Mechanisms  Adequate housing  HH  com  ›  not all pop.  safety,  safety incidences  groups  to restore  groups covered  security,  Sexual gender      covered  housing, land  Secured access to  HH    ›  reference pop. not  and  based violence  › reference pop.  and property  housing and land  always covered  freedom of  Freedom of  HH  com  not always  (HLP)/provide  Resolving claims  HH    › compensation not  movement  movement  covered  compensation  over HLP  covered  Discrimination/  HH  com  › “long‐term”  Access to and  Replacement of  HH  › not all pop. groups    stigmatization  not covered  replacement  documents  covered  Adequate  Food consumption  HH  HH  › largest  of personal  Having legal  HH  com  › reference pop. not  living  overlap and  documents  documentation  always covered  standards  WASH  HH  HH  largest scope  Reunification  # of separated HH  HH    › not all pop. groups  for  with  members  covered  Health care  HH  com  harmonization separated  Family reunifi‐ HH    family memb.  cation mechanism  Education  HH  HH  Participation  Community  HH       in public  participation  Access to  Unempl. before &  HH  HH  › not all pop.  affairs   Involvement in      employment  after displ.(return)  groups  reconciliation   and  Access to  HH  HH  covered  Remedies for  Sense of justice  HH       livelihoods  sustainable empl.  › reference pop.  displacement‐ restored  Poverty during and  HH  HH  not always  related  Access to (in)form.. HH  com  before displ.t  covered  violations  justice mech.    Other  Preference for  HH  HH  › not all pop. Own needs  HH  HH     Other  relevant DS  type of DS   groups  assessment  relevant DS  indicators   Aid dependency  HH  HH  covered  indicators   Existence and use  hh  HH  of networks  Being integrated   HH  HH  Institutional      capacities    Data collected    Proxies partly available  HH:  household‐level data collected    Some proxies available    No data collected  Com:  community‐level data collected  Notes: * According to instruments. The authors did not have access to all data. IOM’s returnee assessment form, which fills part  of the knowledge gaps, was used in Iraq. It is assumed that IOM is collecting similar information during their returnee  assessments in Sudan.  Source:  Own illustration. For an overview of instruments considered, see Appendix B.    124. Despite their prominent role in the durable solutions framework, little is known about the legal  mechanisms IDPs, returnees, and other population groups have access to. These refer to mechanisms to  restore or compensate for lost land, housing and property; mechanisms to replace lost documents; and  mechanisms  to  provide  remedies  for  displacement‐related  violations.  While  such  mechanisms  may  be  among  factors  that  vary  mostly  by  location,  questions  related  to  the  awareness,  intention  to  use,  and  perceived usefulness are relevant on the individual‐ or household‐level.  125. Information  about  reconciliation  upon  return  and  on  social  cohesion  within  and  between  different  population  groups  throughout  all  stages  of  displacement  is  largely  missing.  Some  form  of  56  Sudan IDP Profiling Preparation   June 21, 2017  reconciliation  between  former  conflict  parties  is  of  paramount  importance  for  sustaining  peace  and  achieving durable solutions. The concept and process of reconciliation is difficult to grasp and likely to be  highly context‐specific. Finding proxy indicators for on‐going reconciliation efforts or for ‘a sense of justice  [being]  restored’  would  be  highly  desirable.  Since  a  peaceful  and  potentially  enriching  coexistence  of  diverse population groups is associated with social cohesion, items that measure social cohesion would  also fill important gaps and would also be related to the DS dimension of ‘participation in public affairs’  (Table 11).      57  Sudan IDP Profiling Preparation   June 21, 2017  VI. Recommendations for data collection in Abu Shouk  General recommendations   126. The  considerations  that  follow  were  used  to  guide  the  design  of  the  survey  instrument  and  implementation  procedures.  Based  on  the  analysis  of  existing  data  collection  systems  above,  the  DS  framework  and  benchmarking  criteria,  and  past  experience  with  IDP‐oriented  data  collection  in  Sub‐ Saharan Africa, the team proposes a survey instrument to be fielded in Sudan’s Abu Shouk IDP camp and  its  surroundings.  The  design  and  implementation  of  a  household  survey  involves  trade‐offs  and  data  collection among vulnerable populations involves additional challenges. In what follows, these challenges  are addressed specifically.   127. Data collection to inform durable‐solutions in Abu Shouk and its surroundings should be survey‐ based, not census‐based.  Informing durable solutions requires comprehensive data on basic individual‐  and  household‐characteristics,  current  needs  and  vulnerabilities,  histories  of  displacement,  and  aspirations  of  those  affected.  Collecting  these  data  at  the  household‐level  will  usually  require  time‐ intensive  interviews.  A  census,  administered  to  a  population  of  at  least  40,000  individuals  on  camp  grounds,  and  several  thousand  households  in  its  surroundings,  that  collects  this  kind  of  detailed  information  would  not  be  feasible  from  an  economic  perspective.  It  is  also  unnecessary  in  that  recent  advances  in  sampling  methods  for  non‐formal  settlements  and  conflict‐affected  areas  allow  for  the  collection of data that can be used to obtain unbiased estimates of population parameters with reasonable  margins of error, rendering complete enumeration unnecessary.    128. The  survey  instrument  should  be  aligned  with  the  DS  framework  to  the  extent  possible  and  should collect additional information that provide relevant information about DS.  The DS framework  and  the  associated  set  of  indicators  provides  a  useful  starting  point  for  the  analysis  of  displacement.  Therefore,  the  survey  should  include  items  that  can  be  meaningfully  linked  to  DS  indicators  whenever  possible. That said, there are issues that are often pointed out in the Sudanese context in which additional  indicators relevant to the well‐being of IDPs may be usefully drawn in (e.g. information on statelessness  and  human  trafficking).  Existing  indicators  may  also  be  usefully  supplemented  with  items  that  can  be  employed to understand enablers of DS and that are not covered in the framework (e.g. distance to area  of origin). Finally, some DS‐relevant information may be best captured using methods other than a survey  (e.g. information about incidence of violence may also be obtained through structured interviews with  camp personnel).   129. The survey should include a consumption module that employs recent methodological advances  to ensure rapid data collection with sufficient precision.  Household surveys administered to both IDPs  and  the  general  population  elsewhere  in  Sub‐Saharan  Africa  have  shown  that  large  differentials  in  monetary poverty exist between these two groups. While the traditional approach to the collection of  consumption data increases the survey burden significantly, recent methodological innovations allow for  the  estimation  of  reasonably  accurate  consumption  aggregates  as  part  of  displacement  surveys.132  Importantly,  enquiring  about  consumption  of  items  received  without  payment  will  allow  for  a  quantification of the extent and incidence of dependency on (food) aid.                                                                    132  Pape and Mistiaen (2015).  58  Sudan IDP Profiling Preparation   June 21, 2017  130. The data collected should enable cause‐, needs‐, and solutions‐based benchmarking exercises.  The above analysis shows that existing data systems are focused primarily on current needs.  However,  understanding  the  viability  of  alternative  durable  solutions  will  likely  also  require  the  availability  information  on  IDPs’  aspirations  and  underlying  causes  of  displacement.  Data  on  aspirations  and  information about livelihoods prior to displacement should therefore be collected. The survey instrument  should allow for the collection on data that can be used to construct both current and pre‐displacement  profiles of IDPs in terms of their livelihoods, demographic make‐up, assets, and access to services. This will  allow for an enquiry into the effects of displacement on the displaced households and identify the specific  vulnerabilities induced by displacement. An understanding of the future aspirations of IDPs is crucial to  allow  policy  makers  to  align  policies  with  the  wishes  of  the  displaced  population.  The  survey  should  respondents about future plans and identify the barriers they face in realizing these plans.  131. While reports suggest that GBV is a key concern in the context of IDPs in Sudan, sound data  collection  is  challenging;  unless  resources  are  available  to  tackle  these  challenges  appropriately,  no  attempt should be made to collect data on GBV. GBV is a recurring theme in reports on IDPs in Sudan yet  reliable quantitative data is lacking. However, collecting data on gender‐based violence is a delicate task.  The main reason for this is that such questions could create harm by reemerging traumas. Thus, it should  be  carefully  considered  and  approved  if  sufficient  prevention  is  possible  by  appropriate  training  and  selection  of  enumerators  as  well  as  accessibility  of  health  services.  In  addition,  the  relevant  target  population are individuals, not households, and it would be paramount that respondents answer questions  about their experience with GBV in privacy.133 As a consequence, multiple visits to one households will  become  necessary  in  order  to  obtain  a  non‐selective  sample,  a  requirement  that  would  significantly  increase  costs.  Therefore,  unless  sufficient  capacity  and  resources  are  available  to  implement  relevant  measures, questions about GBV should be excluded.   132. Whenever  possible,  the  survey  should  enable  meaningful  comparisons  with  established  data  systems. While often narrowly focused, existing data systems have resulted in relevant information about  the extent of displacement and needs of affected households. An important consideration is thus whether  comparisons with data generated through these systems will be feasible. The survey instrument discussed  in the next subsection has been cross‐checked with instruments  employed in Sudan to the extent that  these were available at the time of writing. Importantly, it will allow for the construction of vulnerability  categories that resemble those used by the IOM and WFP, respectively. Most vulnerability profiles are  related to the age and gender of individuals so that comparability is simply a matter of aggregation to age  groups  over  a  complete  household  roster.134  Other  criteria  relate  to  specific  health  indicators,  which  require some harmonization.  133. The notion that ensuring comparability should be a criterion also extends to the definitions used  for  displacement  and  to  the  methods  used  to  elicit  IDP  status  from  respondents.  The  above  analysis  shows that different data systems have used different criteria to identify IDPs and vulnerable groups. This  in turn, may lead to differences in estimates. One way forward is to employ various items that would allow  for the analysis to reconstruct and reconcile criteria used in existing data systems.   134. Modules of the survey instrument should be laid out so that it can be administered to both IDPs  and  non‐IDPs.  Gaining  an  understanding  of  the  living  situations  and  aspirations  of  both  IDPs  and  host                                                               133  UN (2014).  134  Exceptions include the vulnerability criteria used by WFP which are based on expenditure aggregates that are compared to the price of an  eight‐item  food  basket.  Harmonization  of  the  survey  with  the  WFP  criteria  will  likely  conflict  will  harmonization  with  the  more  detailed  consumption aggregate of the National Household Budget & Poverty Survey, which should probably be given precendence.    59  Sudan IDP Profiling Preparation   June 21, 2017  populations  is  crucial  for  three  reasons:  first,  including  both  populations  allows  for  comparisons.  The  results  of  such  comparisons  determine  to  which  extent  policy‐makers  will  consider  policies  directed  specifically  at  IDPs  as  opposed  to  a  broader  set  of  policies  aimed  at  fostering  development  in  the  population more generally. Second, learning about the impacts of displacement on host communities can  be an important input into the formulation of policies to arrive at durable solutions. Third, attitudes and  concerns of the host community regarding local integration of the displaced households arguably matter  when it comes to determining which way forward will most likely lead to a durable solution. Therefore,  the survey should be designed as a broad, multiple‐purpose survey that collects data on livelihoods and  well‐being that are elicited in a way that is meaningful to both IDPs and non‐IDPs. In addition, separate  modules  should  be  administered  to  IDPs  through  which  detailed  data  is  collected  about  displacement  histories, aspirations, etc.     135. The  additional  complexity  introduced  by  the  trigger  questions  on  IDP  status  strongly  favors  computer‐assisted  personal  interviews  (CAPI)  over  paper‐based  interviews.  The  fact  that  a  subset  of  items should be administered either to respondents in the host community or IDPs but not both renders  CAPI‐based  surveys  more  feasible.  Pre‐programming  ensures  that  interviews  progress  smoothly  as  enumerators are prevented from accidentally skipping questions or asking inappropriate questions. CAPI‐ based  surveys  have  many  additional  advantages.  For  instance,  it  eliminates  the  need  to  securely  store  completed  paper  questionnaires,  allows  for  real‐time  monitoring  of  interviewers,  and  eliminates  data  entry, an additional step that is prone to errors. Additional costs for equipment and training are expected  to be moderate.   136. A  pre‐test  and  pilot  should  be  fielded  in  order  to  ensure  that  questions  are  understood  as  intended and that response options are as exhaustive as possible. A first‐time collection of household‐  and  individual‐level  data  of  this  scope  requires  provisions  that  will  allow  for  refining  the  instrument  beforehand.  While  consultations  with  relevant  stakeholders  will  go  some  way  in  ensuring  the  appropriateness  of  the  instrument,  a  carefully  designed  pre‐test  and  pilot  survey  that  could  also  be  coupled with more qualitative work will allow for further refinements of the instrument. In most single or  multi‐select questions, an option of “Other (Please Specify)” will be included, which is selected when the  respondent’s answer does not fall into any of the available response options. Selection of ‘Other (Please  specify)’ prompts the enumerator to write the response as text. In the analysis of pilot data, such text  answers are checked and included into the available response options if deemed appropriate. Towards  the end of the interview, enumerators should be prompted to note down observations that could have  potentially  affected  the  quality  of  the  interview  (e.g.  tone  of  the  respondent,  presence  of  outsiders).  Whether a more qualitative component is feasible will depend on resources available.  137. Given the sensitivity of some of the topics covered and a context in which dependency on aid is  high,  adequate  safeguards  and  protocols  should  be  put  in  place.  The  survey  will  involve  categories  associated with traumas and vulnerabilities. In addition, surveys conducted by internatonal organizations  run the risk of raising expectations for increased aid. Therefore, clear protocols need to be in place to avoid  additional stress and increased expectations. In addition to minimizing the number of sensitive questions  and testing those in the pre‐test and pilot, enumerators should be trained using standard protocols to  ensure that sensitive questions are asked in an adequate way. In addition, it should be stated explicitly at  the beginning of the interview by the enumerator that respondents will not get any direct benefits as a  result of participating in the survey and that the survey is intended to further an understanding of the  general situation in the camp and to help to devise policies accordingly.  60  Sudan IDP Profiling Preparation   June 21, 2017  138. Comparability with other surveys should be sought should the survey only be administered only  to IDPs and if other data collection efforts are on‐going. It may be worth considering comparability with  parallel  data  collection  efforts,  particularly  those  that  can  be  used  to  obtain  regionally  representative  estimates  (e.g.  Sudan’s  National  Baseline  Household  Survey  (NBHS)  or  the  Demographic  and  Health  Surveys  (DHS)  and  MICS).135  Ensuring  comparability  with  these  national  surveys  will  allow  for  an  identification  of  vulnerabilities  that  are  specific  to  the  displaced.  This  would  be  more  important  if  the  instrument is not also administered to host communities and if other data collection efforts will produce  data at the same point in time. However, at the time of writing, the authors are not aware of any such  activities.   139. Once  produced,  anonymized  datasets  and  accompanying  documentation  should  be  made  publicly available. One key shortcoming of existing data systems is that raw data are rarely available and  that  documentation  is  often  lacking.  This  prevents  tapping  into  resources  outside  the  data‐collecting  agencies such as academia or development partners. It is therefore recommended that the collected data  is properly anonymized and made publicly available along survey reports and documentation.  Proposed survey instrument  Household roster  140. IDP  households  are  identified  at  the  beginning  of  the  questionnaire.  On  camp  grounds,  the  survey program will automatically trigger IDP‐specific questions. Outside of the camp, enumerators may  still encounter IDP households. An introductory question administered to households residing outside the  camp will determine whether the household is identified as a displaced household. Hence, following the  common enumerator‐provided information about the geographic location and the attempt to interview  the sampled household, one of the first questions in case of a successful attempt to initiate the interview  will  ask  whether  the  household  lives  in  the  current  place  of  residence  as  a  result  of  conflict,  violence,  human rights violations, or natural or man‐made disaster such as a drought or a famine. If this question is  answered affirmatively, a number of additional questions will be triggered over the course of the interview  that will not be administered otherwise.   141. Individual  IDPs  that  reside  in  non‐IDP  households  are  identifiable  based  on  questions  about  migratory history. Another possibility is that IDPs are encountered as household members in households  that have not been displaced. The household roster elicits information about how long individual members  stayed with the household and why they joined, allowing for the implication of these ‘embedded’ cases  outside of camps.  142. The household roster will elicit information about the socio‐demographic profile of households.  The module will provide a complete listing of household members, identified as those individuals that are  considered by the main respondent as household members and that share meals with the household. The  module  will  then  gather  detailed  information  about  household  demographics,  including  age,  gender,  marital status, place of birth, religion, ethnicity, and inter‐family relationships.  143. The household roster will also serve to gather individual‐level data about education, health, and  employment  status  of  household  members.  The  module  will  elicit  information  about  the  current  education status and literacy levels of the household members and, in the case of IDPs, education status                                                               135  The most recent wave of the NBHS has been fielded in 2014/15 and is not currently available.  61  Sudan IDP Profiling Preparation   June 21, 2017  before displacement. It will further gather information about interruptions in educational trajectories as a  result  of  displacement.  The  module  will  further  elicit  information  about  the  health  status  of  individual  household  members.  This  information  will  serve  as  a  key  ingredient  to  identify  vulnerable  population  groups that are often identified in existing data systems. The roster will also gather detailed information  about  employment  of  individual  household  members  ten  years  and  above,  in  the  case  of  IDPs,  about  employment prior to displacement. A small subset of core questions in this module are also included in  the nationally‐representative multi‐purpose household surveys, allowing for tentative comparisons with  population estimates.  144. This  module  will  also  assess  the  extent  to  which  internally  displaced  households  engage  in  gainful employment in the host community. Traditionally, as IDPs are the citizens of the country, they do  not  face  legal  impediments  to  engaging  in  gainful  employment.  However,  forced  displacement  often  separates the household from its tribal and social connections. Lack of connections in the host community  and  possible  discrimination  can  limit  employment  opportunities  of  IDPs.  Loss  of  certificates  and  identification  documents  might  also  hinder  households’  access  to  gainful  employment  in  the  host  community. The household roster will identify current barriers to employment.  145. This  section  will  enable  the  identification  of  specific  vulnerabilities  of  different  groups  while  ensuring  that  the  most  vulnerable  groups  –  children,  pregnant  women,  elderly,  and  disabled  –  are  included. Conflict and displacement affect different population groups differently. Data collected through  this  module  will  allow  for  disaggregation  by  household‐level  identifiers  of  vulnerability,  for  example,  female  and/or  single‐headed  households.  By  collecting  information  on  age,  gender,  and  health  of  household  members,  the  data  will  also  allow  for  individual‐level  analyses.  Also,  conflict  often  erupts  around  ethnic,  religious  and  linguistic  lines.  The  household  roster  will  collect  information  on  these  characteristics  and  thereby  assess  if  a  certain  group  is  more  vulnerable  in  the  given  context.  Similarly,  conflict and displacement may affect males and females differently. While females may be forced into  prostitution, males may engage in increased use of drugs as gender roles change and males are no longer  able to provide for the households.136 The survey will enquire about the current and past livelihoods of all  adult  males  and  females  and  will  allow  the  analyst  to  inquire  how  displacement  has  led  to  changes  in  gender roles.  146. Importantly,  in this context,  the module will include a ‘leavers’  roster that allows  to enquire  about  the  fate  of  former  members  that  were  separated  from  the  household  over  the  course  of  displacement.  Conflict  and  displacement  leads  to  the  separation  of  families  and  the  death  of  family  members.  The  final  section  of  this  module  allows  for  an  enumeration  of  individuals  that  have  been  members of the household before displacement but have been separated from the household for conflict‐  or  displacement‐related  reasons.  The  leavers’  roster  collects  information  about  the  current  age  and  gender of these former members as well as the reason for their parting. This allows the analyst to identify,  say, children that are not living with their parents as a result of displacement and conflict, arguably one of  the  most  vulnerable  group  in  the  context  of  conflict  and  displacement.  Importantly,  the  module  also  includes questions about whether the household is still in contact with separated household members  and, if not, whether it has access to family reunification services.   Household characteristics                                                               136  World Bank (2016).  62  Sudan IDP Profiling Preparation   June 21, 2017  147. The  module  on  household  characteristics  will  allow  for  the  analysis  of  household’s  living  standards.  The  module  on  household  characteristics  gathers  household‐level  data  on  current  housing,  access to agricultural land, security of tenure, basic services, and utilities. For IDPs, the module includes  questions  that  elicit  the  same  information  as  it  pertains  to  living  conditions  prior  to  displacement.  Specifically, the module collects information on current and pre‐displacement quality of housing and basic  services (water, electricity, waste disposal, toilet) available to the household. The module further gathers  data on current and pre‐displacement proximity to basic services (water, education, health) and markets.  This will allow for the analysis of current and pre‐displacement living standards of IDPs.  148. This  module  will  also  collect  data  on  household  level  determinants  of  food  security  and  vulnerability.  Food  security  has  been  identified  as  a  key  concern  in  the  IDP  profile  above.  The  questionnaire employs the Coping Strategies Index developed by WFP to gather insights into incidence of  hunger and coping mechanisms households use in times of food shortage. 137 Strong social networks help  to reduce households’ vulnerability to shocks. The module, therefore, further assesses household’s social  networks by gathering data on the amount of support received by households from family and friends in  the form of remittances as well as the households’ interactions with their community.   149. The module also allows for an assessment of access to legal mechanisms. Displaced households  often lose access to their homes and assets, particularly land and livestock. For instance, livestock may be  raided or killed while land may be occupied. Similarly, households often lose important documents when  forced  to  leave  their  homes  in  a  hurry.  This,  in  turn,  may  impinge  on  their  ability  to  gain  access  to  employment or services. Hence, IDPs often have a demand for legal mechanisms that allow them to file  land restitution and reparation claims and to obtain legal documents required to rebuild their livelihoods.  The survey can be used to assess whether IDP households have knowledge of legal mechanisms and, if so,  whether  they  perceive  these  mechanisms  as  accessible.  The  survey  also  explores  how  and  where  development organizations can support households in accessing legal mechanisms.  Food and non‐food consumption, livestock, and other assets  150. Recent  methodological  advances  in  the  collection  of  consumption  data  will  allow  for  the  construction of profiles of monetary poverty while avoiding a prohibitive survey burden. Consumption  data  allow  for  the  estimation  of  profiles  in  monetary  welfare  that  can  be  usefully  compared  between  relevant  subpopulations  (e.g.  IDPs  and  host  communities).  To  ensure  comparability,  the  consumption  module will be modelled after Sudan’s most recent national household survey. However, to reduce the  time  it  takes  to  collect  consumption  data,  the  Rapid  Survey  Consumption  Methodology  should  be  employed. In brief, the method proposes to collect information about a core set of food and non‐food  items while all other items are organized in a number of exclusive and exhaustive sub‐modules that are  randomly administered to households within a given enumeration area. It has been demonstrated that  multiple imputation methods can then be used to estimate consumption levels of households based on  information about household characteristics, assets, core items, and the subset of non‐core items. This  method significantly reduces the time it takes to collect consumption data while providing unbiased and  reasonable precise estimates of poverty levels.138   151. The sections on food and non‐food consumption will also assess the extent to which households  depend on aid. A common concern is that prolonged dependency on humanitarian organizations for food                                                               137  WFP (2008).  138  Pape and Mistiaen (2015).  63  Sudan IDP Profiling Preparation   June 21, 2017  and  non‐food  items  limit  the  ability  of  households  to  engage  in  gainful  employment  and  provide  for  themselves. For each of the food and non‐food items, the survey will enquire whether food and non‐food  items were obtained for free and will identify the source of the assistance. This will allow for an estimation  of the extent to which households rely on aid. It will also allow to approach the question to what extent  provision of aid plays a role in the households’ movement and return intentions.   152. Modules  on  livestock  and  other  durable  goods  will  allow  for  the  construction  of  alternative  measures of households’ standard of living. These modules are also modelled after Sudan’s most recent  national  household  survey  but  may  also  include  additional  items.  Importantly,  IDP  households  will  be  asked to elaborate on livestock and assets holdings before their displacement.  Wellbeing and perceptions  153. The module on well‐being and perceptions will allow for an analysis of changes in households’  risk attitudes and resilience due to displacement. Conflict has the potential to erode individuals’ trust in  others, increase risk‐taking, and result in a decrease in the extent to which individuals feel that they are in  charge of their lives. Such changes in attitudes can signal a need for psychological support. In extreme  cases,  negative  attitudes  can  significantly  limit  households’  potential  for  overcoming  conflict‐related  hardship. The module will therefore include items to capture individuals’ attitudes towards risk, as well as  their overall satisfaction with their lives and expectations for the future.   Displacement and return intentions  154. A module on displacement histories informs an understanding of displacement patterns of IDPs.  The  module  gathers  information  about  areas  of  origin  of  IDPs  as  well  as  the  timing  and  causes  of  displacement. The module also assesses whether households have faced multiple displacements and the  reason for moving from their last displacement site to their current location. It will further ascertain how  connected  IDPs  are  to  their  areas  of  origin  either  through  relatives  or  friends  left  behind  or  through  temporary visits to areas of origin.    155. Importantly, the module gathers information on movement and return intentions of IDPs. The  module  presents  respondents  with  a  full  set  of  possible  settlement  options  including  return,  local  integration,  and  relocation.  The  module  also  gathers  information  about  the  associated  push  and  pull  factors for these movement and return intentions. Moreover, the module specifically enquires about the  support  IDP  households  require  to  settle  in  their  preferred  location.  This  section  in  particular  is  key  in  obtaining inputs that can be used to provide policy guidance regarding possible interventions to support  IDPs.  156. The module allows for an assessment of the ability of IDP households to obtain information and  make informed decisions.  The quest for durable solutions to  displacement and the imperative that all  efforts  to  facilitate  durable  solution  should  be  IDP‐centered  gives  rise  to  unique  information  needs.  Displaced households require information about conditions in their area of origin as well as other areas  that may qualify for permanent resettlement, including information about security, provision of services,  and access to livelihood. This information can potentially be obtained through various sources including  formal news outlets and personal contacts. The module therefore assesses the information households  can access about the places where they want to settle and unmet information needs.    64  Sudan IDP Profiling Preparation   June 21, 2017  Sampling strategy  157. A Census is used to create a sample frame or to target specific households. Generally, surveys  can be implemented as a Census or based on a sample. A Census administers the questionnaire to every  unit of observation, usually a household. This makes the Census a very cost‐ and time‐intense exercise. It  is mostly used to derive a sample frame, which allows to draw a representative sample for a sample‐based  survey.  In  addition,  a  Census  is  also  used  to  target  specific  households.  However,  the  questionnaire  is  usually extremely short (5 to 20 questions) so that all households can be interviewed in a reasonable time  and with feasible cost.   158. A sample‐based survey instead can be used to inform program design and propose a targeting  scheme.  In contrast to a Census, a sample‐based survey only interviews a randomly drawn subset of the  population.  If  the  sample  design  is  well  chosen,  the  survey  will  provide  representative  estimates  for  indicators. Those estimates can even be better than from a Census due to reduced logistical complexity  leading to higher data quality. Therefore, a sample‐based survey is the standard tool to collect data that is  not used to create a sample frame or for direct targeting of households. It has considerable time‐, capacity‐  and cost‐advantages.  159. Based  on  the  objectives  of  the  planned  data  collection,  a  sample‐based  approach  is  recommended.  The  planned  data  collection  will  inform  durable  solutions  but  not  target  directly  households.  Therefore, a  sample‐based approach is sufficient and will result in better  data quality and  considerably  lower  costs.  The  sample  design  should  be  stratified  by  the  specific  subgroups  of  interest.  Sampling weights will then allow to weight data to create representative estimates.  160. As sample frame, a listing approach based on maps of the camp and of the host communities is  proposed. While Census data of households living in the camp are available, a sample frame constructed  based on this might miss households that arrived later – or households that split and settled in a new  structure. Given the availability of accurate maps and the extremely well structured design of streets and  households, it is instead recommended to create enumeration area maps based on those maps and use a  standard listing approach for the random selection of the households. The listing approach entails listing  all households in all randomly selected enumeration areas before randomly selecting households. Given  experiments in other contexts, maps could also be derived from satellite maps. For the host communities,  enumeration area maps from the last household survey should be used.  161. The sample design should be developed by a sampling expert. The design of a sample determines  the  representativeness  of  the  data  collection.  Small  mistakes  or  oversight  can  invalidate  the  representativeness.  Therefore,  the  sample  should  be  design  by  an  expert.  Known  variation  within  the  camp  based  on  available  data  will  inform  needed  sample  size  to  obtain  estimates  with  reasonable  confidence.      65  Sudan IDP Profiling Preparation   June 21, 2017  VII. References  1. ACLED  (Armed  Conflict  Location  &  Event  Data  Project).  (2017).  Conflict  Trends  No.  57.  April  2017.  http://www.acleddata.com/wp‐content/uploads/2017/04/ACLED_Conflict‐Trends‐Report_No.57‐ April‐2017‐pdf.pdf. Last access: May 3, 2017  2. Alix‐Garcia, J. and D. Saah. (2010). The Effect of Refugee Inflows on Host Communities: Evidence from  Tanzania. World Bank Economic Review 24(1): 148‐170.  3. AU (African Union). (2009).  African Union Convention for the Protection and Assistance of Internally  Displaced  Persons  in  Africa  (Kampala  Convention).  https://web.archive.org/web/20130509030012/http://www.africa‐ union.org/root/AR/index/Convention%20on%20IDPs%20_Eng_%20‐%20Final.pdf. Last access: May 3,  2017  4. Baez, J. E. (2011).  Civil Wars Beyond Their Borders: The Human Capital and Health Consequences of  Hosting Refugees. Journal of Development Economics 96(2): 391‐408.  5. Brookings.  (2010).  IASC  (Inter‐Agency  Standing  Committee)  Framework  on  Durable  Solutions  for  Internally Displaced Persons.  6. CBS (Central Bureau of Statistics) and UNICEF  Sudan (UN International Children’s Emergency Fund).  (2016). Multiple Indicator Cluster Survey 2014 of Sudan, Final Report  7. DFID  (Department  for  International  Development)  and  UN‐Habitat  (United  Nations  Human  Settlements Programme). (2009). Darfur: Profile of El Fasher Town and Abu Shouck IPD Camp  8. Ghanem,  T.  (2003).  When  Forced  Migrants  Return  ‘Home’:  The  Psychosocial  Difficulties  Returnees  Encounter in the Reintegration Process. Refugee Studies Centre (RSC) Working Paper No. 16. University  of Oxford.  9. GoS  (Government  of  Sudan).  (2007).  Republic  of  the  Sudan.  Fifth  Population  and  Housing  Census.  Census Enumerator’s Manual Long Questionnaire  10. GoS  (Government  of  Sudan),  WFP  (World  Food  Programme)  and  FAO  (Food  and  Agricultural  Organization). (2009). Darfur Food Security and Livelihood Assessment ‐ 2008   11. GoS (Government of Sudan). (2013). Developing Darfur: A Recovery & Reconstruction Strategy  12. GoS  (Government  of  Sudan).  (without  date).  Climate  Change  Adaptation  and  Decision  Making  in  Sudan.  World  Resources  Institute.  https://www.wri.org/our‐work/project/world‐resources‐ report/climate‐change‐adaptation‐and‐decision‐making‐sudan. Last access: May 16, 2017.  13. Giustiniani, F. Z. (2011).  New Hopes and Challenges for the Protection of IDPs in Africa: The Kampala  Convention for the Protection and Assistance of Internally Displaced Persons in Africa. Denver Journal  of International Law and Policy 39(2): 347‐370  14. ICG  (International  Crisis  Group).  (2015).  Sudan  and  South  Sudan’s  Merging  Conflicts.  Brussels:  International  Crisis  Group.  https://www.crisisgroup.org/africa/horn‐africa/south‐sudan/sudan‐and‐ south‐sudan‐s‐merging‐conflicts. Last access: May 4, 2017  15. IDMC (Internal Displacement Monitoring Centre). (2010). Sudan: Durable solutions elusive as southern  IDPs return and Darfur remains tense.  16. IDMC (Internal Displacement Monitoring Centre). (2014). Briefing Paper: The Kampala Convention two  years  on:  time  to  turn  theory  into  practice.  http://www.internal‐ displacement.org/assets/publications/2014/201412‐af‐kampala‐convention‐brief‐en.pdf. Last access:  May 16, 2017.  17. IDMC (Internal Displacement Monitoring Centre). (2015a). Global Estimates 2015: People displaced by  disasters  66  Sudan IDP Profiling Preparation   June 21, 2017  18. IDMC (Internal Displacement Monitoring Centre). (2015b).  Durable Solutions: Principles and Process.  http://www.internal‐displacement.org/assets/publications/2015/20150910‐durable‐solutions‐ training‐package/2.Principles/2.‐IDMC‐DS‐Module‐Basic‐concepts‐process‐and‐principles‐ Handout.pdf. Last access May 3, 2017  19. IDMC  (Internal  Displacement  Monitoring  Centre).  (2017a).  Sudan  IDP  Figures  Analysis.  http://www.internal‐displacement.org/sub‐saharan‐africa/sudan/figures‐analysis.  Last  access:  April  27, 2017  20. IDMC (Internal Displacement Monitoring Centre). (2017b). Painting a clearer picture with ‘flawed’ and  ‘messy’  data.  Blog  Post  by  Justin  Ginetty  March  24,  2017.  http://www.internal‐ displacement.org/blog/2017/painting‐a‐clearer‐picture‐with‐flawed‐and‐messy‐data.  Last  access:  April 11, 2017  21. IMF  (International  Monetary  Fund).  (2013).  Sudan:  Interim  Poverty  Reduction  Strategy  Paper.  IMF  Country Report No. 13/318  22. IOM (International Organization for Migration). (2010). IOM Sudan: Annual Report 2009  23. IOM (International Organization for Migration). (2014). IOM Sudan: Annual Report 2014  24. IOM (International Organization for Migration). (2015a). North Darfur State – Abu Shouk IDP Camp  25. IOM (International Organization for Migration). (2015b).  Delivering more for migrants – IOM Sudan  Annual Report 2015.  26. IOM  (International  Organization  for  Migration).  (2016a).  The  Displacement  Tracking  Matrix.  Presentation for DTM working group July 2016  27. IOM (International Organization for Migration). (2016b). IOM Sudan: Humanitarian Summary 2016  28. IOM  (International  Organization  for  Migration).  (2016c).  Displacement  Tracking  Matrix  Sudan:  Dashboard January‐December 2016  29. IOM (International Organization for Migration). (2016d). Sudan Livelihoods Factsheet August 2016  30. IOM (International Organization for Migration). (2017a).  Migrants in Sudan: Pilot Study on Migrants’  Motivations, Intentions, and Decision‐Making in Khartoum  31. IOM  (International  Organization  for  Migration).  (2017b).  Migration  Crisis  Operational  Framework  2017‐2019  32. IPUMS (Integrated Public Use Microdata Series). (2011). Study Description Population and Household  Census  Sudan  2008.  Minnesota  Population  Center.  https://international.ipums.org/international‐ action/sample_details/country/sd#tab_sd2008a. Last access: Feb 24, 2017.  33. Kaufmann, D., A. Kraay, and M. Mastruzzi. (2010). The Worldwide Governance Indicators: Methodology  and Analytical Issues. World Bank Policy Research Working Paper No. 5430.  34. Khan, C. (2008).  Conflict, Arms, and Militarization: The Dynamics of Darfur’s IDP Camps.  Small Arms  Survey HSBA (Human Security Baseline Assessment) Working Paper No. 15  35. Landinfo. (2008). Thematic Report: Sudan: Internally displaced persons in Khartoum  36. Lie, B. (2004). The psychological and social situation of repatriated and exiled refugees: a longitudinal,  comparative study. Scandinavian Journal of Public Health 32(3): 179‐187  37. NAMTF (North Africa Mixed Migration Task Force). (2015). Conditions and risks of mixed migration in  North  East  Africa.  Cairo:  NAMTF.  http://www.mixedmigrationhub.org/wp‐ content/uploads/2015/11/Conditions‐and‐Risks‐in‐Mixed‐Migration‐in‐North‐East‐Africa.pdf,  Last  access: May 4, 2017  38. NATO Civil‐Military Fusion Centre. (2012). Sudan’s Southern Rebellion: The “Two Areas,” Civil‐Military  Fusion  Centre  Mediterranean  Basin  Team.  October  2012.  67  Sudan IDP Profiling Preparation   June 21, 2017  http://reliefweb.int/sites/reliefweb.int/files/resources/CFC_MB_Sudan%20Crisis_TWO%20AREAS_Fi nal.pdf. Last access: April 27, 2017.  39. NRC  (Norwegian  Refugee  Council)  and  IDMC  (Internal  Displacement  Monitoring  Centre).  (2010).  Sudan: Durable solutions elusive as southern IDPs return and Darfur remains tense. A profile on the  internal displacement situation as of 23 December, 2010    40. NRC  (Norwegian  Refugee  Council)  and  IDMC  (Internal  Displacement  Monitoring  Centre).  (2013).  Sudan:  Internal  displacement  in  brief  –  As  of  December  2013.    http://www.refworld.org/cgi‐ bin/texis/vtx/rwmain?page=printdoc&docid=53c3b3724. Last access: April 11, 2017  41. ODI  (Overseas  Development  Institute).  (2015).  Protracted  displacement:  uncertain  paths  to  self‐ reliance in exile. Humanitarian Policy Group (HPG) Commissioned Report  42. Pape, U. and J. Mistiaen. (2015).  Measuring Household Consumption and Poverty in 60 Minutes: The  Mogadishu High Frequency Survey. World Bank.   43. ReDSS  (Regional  Durable  Solutions  Secretariat).  (2016).  ReDSS  Durable  Solutions  Framework.  http://www.regionaldss.org/sites/default/files/ReDSS%20Framework%20One%20Page%20Narrative .pdf. Last access: May 3, 2017  44. RRF (Rapid Response Fund) and IOM (International Organization for Migration). (2016). A three year  summary (2013‐2016).   45. Sarzin,  S.  (2017).  Stocktaking  of  Global  Forced  Displacement  Data.  World  Bank  Policy  Research  Working Paper No. 7985  46. Sudan National S3M. (2014). Report of a Simple Spatial Surveying Method (S3M) survey in Sudan 2013.  Sudan Federal Ministry of Health.  47. SUDO UK. (2012). The Humanitarian Situation in Abu Shouk Camp, al‐Fasher, North Darfur  48. UN  (United  Nations).  (2014).  Guidelines  for  Producing  Statistics  on  Violence  against  Women  –  Statistical Surveys. Statistics Division, Department of Economic and Social Affairs.  49. UN  Sudan.  (2010).  Beyond  Emergency  Relief.  Longer‐term  trends  and  priorities  for  UN  agencies  in  Darfur  50. UNHCR (UN Refugee Agency). (2004). Protracted Refugee Situations. Executive Committee of the High  Commissioner’s Programme.  51. UNHCR  (UN  Refugee  Agency).  (2005).  Impacts  of  Refugees  and  Internally  Displaced  Persons  on  the  Environment  in  Tanzania.  Assessment  Report,  Disaster  Management  Branch  and  UNEO  Division  of  Environmental Policy Implementation. Kenya.  52. UNHCR (UN Refugee Agency). (2014a).  Sudan: Protection and Operations Strategy 2014 (Year‐End).  http://reporting.unhcr.org/node/4360. Last access: Apr 10, 2017.  53. UNHCR  (UN  Refugee  Agency).  (2016a).  Global  Trends  ‐  Forced  Displacement  in  2015.  Available  at:  https://s3.amazonaws.com/unhcrsharedmedia/2016/2016‐06‐20‐global‐trends/2016‐06‐14‐Global‐ Trends‐2015.pdf. Accessed 5/12/2017.  54. UNHCR  (UN  Refugee  Agency).  (2016b).  Sudan:  Protection  and  Operations  Strategy  2016  (Plan).  http://reporting.unhcr.org/node/12187. Last access: Apr 10, 2017  55. UNHCR (UN Refugee Agency). (2016c). Sudan‐Refugees, asylum‐seekers, IDPs and others of concern  to UNHCR by State (map).  56. UNHCR  (UN  Refugee  Agency).  (2016d).  Sudan:  Protection  and  Operations  Strategy  2016  (Plan).  http://reporting.unhcr.org/node/12187. Last access: Apr 10, 2017.  57. UN  OCHA  (UN  Office  for  the  Coordination  of  Humanitarian  Affairs).  (2014a).  Guiding  Principles  on  Internal Displacement, 2nd edition  68  Sudan IDP Profiling Preparation   June 21, 2017  58. UN  OCHA  (UN  Office  for  the  Coordination  of  Humanitarian  Affairs).  (2014b).  Sudan:  Humanitarian  Needs Overview 2015  59. UN  OCHA  (UN  Office  for  the  Coordination  of  Humanitarian  Affairs).  (2015a).  Sudan:  Humanitarian  Needs Overview 2016  60. UN  OCHA  (UN  Office  for  the  Coordination  of  Humanitarian  Affairs).  (2016a).  Sudan:  Humanitarian  Needs Overview 2017  61. UN  OCHA  (UN  Office  for  the  Coordination  of  Humanitarian  Affairs).  (2016b).  Sudan:  Humanitarian  Bulletin, Issue 33, 20 ‐ 26 June 2016. Geneva: UN OCHA.  62. WFP  (World  Food  Programme).  (2008).  The  Coping  Strategies  Index:  Field  Methods  Manual.  2nd  edition.   63. WFP  (World  Food  Programme),  State  Ministries  of  Agriculture  and  State  Ministry  of  Health  (2011)  Comprehensive Food Security Assessment in Darfur  64. WFP (World Food Programme) (2016a) Darfur Food Security Monitoring, November 2016, Sudan  65. WFP (World Food Programme) (2017a) WFP IDP Profiling Update February 2017  66. WFP  (World  Food  Programme)  (2017b)  Vulnerability  Analysis  and  Mapping  Data  Catalogue  Sudan.  http://vam.wfp.org/CountryPage_assessments.aspx?iso3=SDN. Last access: Apr 24, 2017  67. World Bank. (2015a). Sudan Country Economic Memorandum: Realizing the Potential for Diversified  Development.  68. World Bank. (2015b). Forced Displacement: Brief. Washington, D.C.: World Bank Group. World Bank.  http://www.worldbank.org/en/topic/fragilityconflictviolence/brief/forced‐displacement  69. World  Bank.  (2015c).  Investing  in  Urban  Resilience.  Protecting  and  Promoting  Development  in  a  Changing World  70. World Bank. (2017a, forthcoming). Forced Displacement and Mixed Migration in Sudan: Status, Causes,  and Responses   71.World  Bank.  (2017b).  Microdata  catalogue:  Sudan.  http://data.worldbank.org/country/sudan.  Last  access: Apr 14, 2017  72.World  Bank  and  UNHCR.  (2015).  Eastern  Africa  HOA  Displacement  Study:  Forced  Displacement  and  Mixed Migration in the Horn of Africa. Report No: ACS14361. Geneva and Washington, DC.   73.World  Bank.  (2016).  Forcibly  displaced:  Toward  a  development  approach  supporting  refugees,  the  internally displaced, and their hosts. Washington, DC.         69  Sudan IDP Profiling Preparation   June 21, 2017  IX. Appendices  Appendix A ‐ Operationalizing Durable Solutions   Box 4: Glossary of key terms  Internally Displaced Person ‐ “Persons or groups of persons who have been forced or obliged to flee or to  leave their homes or places of habitual residence, in particular as a result of or in order to avoid the effects  of armed conflict, situations of generalized violence, violations of human rights or natural or human‐made  disasters, and who have not crossed an internationally recognized Stata border.” (Guiding Principles on  Internal Displacement)  ReDSS  –  Regional  Durable  Solutions  Secretariat  (ReDSS)  is  a  coalition  of  civil  society  actors  aimed  at  maintaining  a  focused  momentum  and  stakeholder  engagement  in  the  search  of  durable  solutions  for  displacement‐affected communities in East and Horn of Africa. ReDSS is managed through an Advisory  Group  comprised  of  11  NGOs:  DRC,  NRC,  IRC,  World  Vision,  CARE  International,  Save  the  Children  International, OXFAM, ACTED, INTERSOS, Mercy Corps and Refugee Consortium of Kenya, with IRC and  DRC forming the steering committee.  JIPS  –  the  Joint  IDP  Profiling  Service  is  an  inter‐agency  service  that  provides  technical  support  to  humanitarian and development actors implementing profiling exercise in displacement situations. JIPS is  supervised  by a Steering  Committee  comprised of  the Danish  Refugee Council  (NRC), the Office of the  Special  Rapporteur  on  the  Human  Rights  of  IDPs,  the  United  Nations  High  Commissioner  for  Refugees  (UNHCR), the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) and the United  Nations Population Fund (UNFPA)  162.  “A  durable  solution  is  achieved  when  internally  displaced  persons  no  longer  have  any  specific  assistance and protection needs that are linked to their displacement and can enjoy their human rights  without discrimination on account of their displacement.”139  163. To  be  more  specific,  durable  solutions  are  achieved  when  IDPs  are  able  to  enjoy  without  discrimination:    Long‐term safety, security and freedom of movement;   An adequate standard of living, including at a minimum access to adequate food, water, housing,  health care and basic education;   Access to employment and livelihoods;   Access to effective mechanisms that restore their housing, land and property or provide them  with compensation;   Access to and replacement or personal and other documentation;   Voluntary reunification with family members separated during displacement;   Participation in public affairs at all levels on an equal basis with the resident population;   Effective remedies for displacement‐related violations, including access to justice, reparations  and information about the causes of violations.”  164. This  8‐point  criteria  is  used  as  a  benchmark  for  measuring  progress  made  towards  achieving  durable solutions. The Inter‐Agency Committee on Durable Solutions developed the indicators outlined                                                               139  “IASC Framework on Durable Solutions for Internally Displaced Persons.” Inter‐Agency Standing Committee, April 2010.  70  Sudan IDP Profiling Preparation   June 21, 2017  below  to  further  measure  the  achievement  of  these  eight  goals.  ReDSS  adopts  the  majority  of  these  indicators to develop a profile of IDPs. The indicators developed by IASC also capture most of the themes  covered by JIPS. JIPS further evaluates some aspects of social integration that are included below:  Criteria  Possible Indicators of Progress towards Achieving a Durable Solution  Long‐term  safety,  security   Level of clearance of mines and unexploded ordnance on main  and freedom of movement  roads, living areas and cultivable land in sites of IDP return or  settlement elsewhere in the country   Degree of reduction of checkpoints or other special security  measures   That IDPs face no discriminatory or arbitrary restrictions of  their freedom of movement   Progress made in disarming, demobilizing and reintegrating  former combatants   Number of police stations and courts as well as trained police  and judicial personnel deployed in IDP return or settlement  areas compared to the national average or the local situation  before displacement. The degree of access by IDPs to police  and judiciary compared to the resident population. Frequency  of police patrolling in IDP areas   Number of reported acts of violence or intimidation targeting  IDPs on the basis of their IDP or minority status   Prevalence of violent crimes suffered by IDPs compared to  crimes suffered by the resident population, the situation before  displacement of the national average (as appropriate)   Degree of continuation of spontaneous returns to specific areas   Reduction of the number of persons facing risks emanating  from natural hazards   Measures taken to reduce future risks   Safety and security perceptions of IDPs seeking a durable  solution  An  adequate  standard  of   Assistance programs in place to provide IDPs with essential  living,  including  at  a  food, potable water, basic shelter and essential health care  minimum  access  to   Estimated number of IDPs who are malnourished or homeless  adequate  food,  water,   Percentage of IDPs who do not have access to essential food,  housing,  health  care  and  potable water, basic shelter or essential health care compared  basic education  to the resident population, the situation before displacement  or the national average, as appropriate   Percentage of IDP children with access to at least primary  education in adequate conditions and quality, compared to the  resident population, the situation before displacement or the  national average, as appropriate   No legal or administrative obstacles preventing IDP children  from going to school   Rates of IDP children whose education was interrupted by  displacement and who resume schooling  71  Sudan IDP Profiling Preparation   June 21, 2017   Percentage of IDPs living in overcrowded housing/shelter,  compared to the resident population, the situation before  displacement or the national average, as appropriate   IDPs do not face specific obstacles to access public services,  assistance or remittances from aboard compared to local  residents with comparable needs  Access  to  employment  and   There are no legal or administrative obstacles to IDP  livelihoods  employment or economic activity that the resident population  does not face   Unemployment among IDPs compared to the resident  population, the situation before displacement or the national  average, as appropriate   Types and conditions of employment of the IDP population  compared to the non‐displaced population, including rates of  informal‐market employment and access to labor law  standards, such as the minimum wage, as appropriate   Poverty levels among IDPs compared to the resident  population, the situation before displacement or the national  average, as appropriate  Access  to  effective   Existence of effective and accessible mechanisms to resolve  mechanisms  that  restore  housing, land and property disputes relevant to displacement  their  housing,  land  and  and steps taken to overcome the most common challenges to  property  or  provide  them  implementing housing, land and property rights  with compensation;   Percentage of IDP land and property claims resolved and  enforced; number of remaining claims; and estimated time  required to resolve the remaining claims   Percentage of IDPs remaining without adequate housing,  reduction in this percentage over time and comparison with the  percentage for the resident population or the national average,  as appropriate   Percentage of destroyed or damaged homes of IDPs adequately  repaired; number of remaining houses to be repaired and  estimated time required to repair the remaining houses   IDPs have access to support programs (including access to  credits) to restore or improve housing, land or property on the  same basis as the resident population  Access  to  and  replacement   IDP women and men face no legal or administrative obstacles  or  personal  and  other  to obtain (replacement) birth certificates, national ID cards,  documentation  voter identification cards or other personal documents relevant  to the context   Mechanisms to replace documents are accessible and  affordable bearing in mind the local context   Percentage of IDPs without birth certificates, national ID cards  or other personal document relevant to the local context  compared to the resident population, the situation before  displacement or the national average, as appropriate   Mutual acceptance by Governments and de factor authorities  of papers where control over territory is divided  72  Sudan IDP Profiling Preparation   June 21, 2017  Voluntary  reunification   Mechanisms have been put in place to reunite separated family  with  family  members  members. No movement restrictions prevent family  separated  during  reunification. Acceptance of the returnees within the wider  displacement  family/clan fabric   The number of internally displaced children or other dependent  persons who have not yet been reunited with their families   The number of persons without access to property/pensions  due to a missing family member of other provider   The number of unaccompanied and separated internally  displaced children for whom a best interest determination is  needed but has not been conducted  Participation  in  public   IDPs have access to social networks and are able to participate  affairs  at  all  levels  on  an  in community /neighborhood organizations without  equal  basis  with  the  discrimination   resident population   IDPs are able to procure support from relatives, friends and  neighbors to cope with shocks, find work or housing140   IDPs face no legal or administrative obstacles not faced by the  resident population that prevent them from voting, being  elected or working in public service   The percentage of adult IDPs eligible and registered to vote in  comparison to the resident population or the national average,  as appropriate   The percentage of adult IDPs participating in elections held in  comparison to the resident population or the national average   The percentage of IDPs among public servants and elected  officials in comparison to the percentage of IDPs in the overall  population  Effective  remedies  for   Existence of accessible mechanisms that have the legal  displacement‐related  mandate and actual capacity to provide IDPs with effective  violations,  including  access  remedies for violations suffered, including violations committed  to  justice,  reparations  and  by non‐state actors  information  about  the   Percentage of IDPs who consider that the violations suffered  causes of violations  have been effectively remedied and a sense of justice restored   Number or percentage of identified cases of displacement‐ related serious human rights violations or grave breaches of  humanitarian law that result in effective and adequate  reparation.                                                                     140  “Guidance for Profiling Urban Displacement Situations, Challenges and Solutions”, Joint IDP Profiling Service, June 2014.  73  Sudan IDP Profiling Preparation   June 21, 2017  Appendix B ‐ Comparison of survey instruments       74  Overview of questionnaire modules across instruments World Bank IOM hh - household Somali High Frequency Survey - Wave Registration Form (Darfur) - hhm Movement Tracking form - Returnee Assessment - Migrant survey Khartoum hhm - household members 2 - hhm questionnaire questionnaire hh questionnaire comm questionnaire (intentions) - hhm questionnaire comm - community ( question numbers and target group sin parentheses) How are IDPs identified? Identified on level of EAs, hh and (self-reported?) popul category: self-reported: are you a Num of returnee families not at all, target group is hhm (e.g. A.1 Is this IDP EA? B.6-7) IDPs, resident, IDP returnee, returnee, IDP or refugee in this location international migrants identified refugee returnee, other (1, hhm ) by nationality (1.5, hhm ), asylum or refugee status (15.1-2, hhm ) Administrative information location details (hh ) location details incl camp and tracking location details, date location details (comm ) location details (hhm ) registration site (2-8, hh ) of registration (3-4, comm ) Interview information and filters Is this permanent location of yes (B.5, hh ) no no no no household? Living in current residence due to displacement due to conflict, no no no no displacement? violence, human rights violations, natural or man-made disasters (B.6, hh ) Has hh ever been displaced? yes (B.7, hh ) no no no no Demographic indicators Basic demographics (age, gender, yes (C.1, C.8-9, hhm ) yes (F-J, hhm ) age and sex of hh-head (F-G), sex and age categories for age and sex (1.1-2, hhm ) relationship to head) num of hhm by age random selection of hh (10, categories & sex comm ) Other demographics relevant in IDP Reasons for being away from hh (incl no no no having valid passport (17.16, context conflict/displacement) (C.5); any hhm ) parent alive? (C.11) Legal identification? (C.16-17) (hhm ) Tribe/ethnicity, religion, language no; proxy for religion: has hhm tribe of hh-head and mother (17, 22, no no yes (1.3-4; 2.1-5, hhm ) attended Koranic school? (C.44-45) hh ) Place of origin and migration (hhm ) Place of origin and migration state and country of origin, reasons for no no no see displacement section below joining hh (incl displacement), place of residence before joining hh , duration of staying in current residence, reason for leaving last place of residence, reasons for chosing current district (hhm , C.24-28) 1 Overview of questionnaire modules across instruments IOM hh - household Darfur Population Tracking Darfur Population Tracking Darfur Population Tracking Sudan Village Assessment Form and hhm - household members Form, Part A. Displacement, Form, Part B. Form, Part C. Annex: Rapid Environmental and comm - community Return, and Settlement Internal Labor Migration Pastoral Migration of (Semi-) Livelihoods Assessment - comm comm level Form Nomadic Population - comm level ( question numbers and target group comm level level sin parentheses) How are IDPs identified? headcount by sheikh/deputy questionnaire referring to questionnaire referring to No. of population pre-conflict, + IDP representative + 3 migr worker populat (Form B) pastoral migr (semi-) nomadic current, returnees, IDPs, resident comm memb ( comm ) ( comm ) populat (Form C) ( comm ) community (hhs and indiv) ( comm ) Administrative information location details; settlement no no location details type (A. village, camp, town, other) (comm ) Interview information and filters Is this permanent location of no no no no household? Living in current residence due to no no no no displacement? Has hh ever been displaced? no no no no Demographic indicators Basic demographics (age, gender, gender composition: gender composition of gender composition: no relationship to head) Males>ororor age 9, C.52-84) Employment before displacement similar details as current employment occupation (M, hhm ) no no yes (4.1-7, hhm ) (C.85-C.96, hhm ) Fertility yes and delivery details (female hhm no no no num of children (1.8) age 12-65) Seperated household members Separated due to conflict, violence, basic demographics; possibility to get no no no no human rights violations, natural or in touch (by separated hhm ,C.110- man-made disasters 114) Household characteristics Characteristics of current dwelling basic characteristics and tenure status where does hh live: camp, with no shelter type (3.4, comm ) type and price of accomm. and (incl shelter arranged by UN/NGOs) relatives/friends, own/rented house, co-inhabitants (8.3-4, hhm ) (D.2-6; D.32); degree to which dwelling squatting (23, hh ) is safe in terms of legal/customary possibilities to stay (D.7-11) (hh ) Characteristics of dwelling before similar details as current dwelling no no no no displacement (D.44-55, hh ) WASH indicators many details, e.g. source and no no conditions of water, no treatement of water (D.18-23); sewerage (4.1, comm ) electricity (D.24-25); cooking energy (D.26); toilet facility (D.27-29); solid waste (D.30) (hh ) 4 hh - household Darfur Population Tracking Darfur Population Tracking Darfur Population Tracking Sudan Village Assessment Form and hhm - household members Form, Part A. Displacement, Form, Part B. Form, Part C. Annex: Rapid Environmental and comm - community Return, and Settlement Internal Labor Migration Pastoral Migration of (Semi-) Livelihoods Assessment - comm comm level Form Nomadic Population - comm level ( question numbers and target group comm level level sin parentheses) Socioeconomic indicators Health status no no no construction material, health staff type, beds/equipment anti-natal service, trauma counselling, vaccination, medicine available; costs of health care, external assistance provided; type of non- functioning clinic; distance (comm ) Education no no no Functioning schools (school type, construction, teachers no., students no., student fees, assistance received, by whom). Did children from other villages attend any of the functioning schools? Non-functioning schools (type, construction, reason for non- functioning, distance to nearest school) (comm ) Current employment no typical occupation (seasonal no no agricl, urban wage labor, small trade) (B, I.4.4, II.4.4) average annual hh income (B, I.5.3; II.5.3) (comm ) Employment before displacement no no no no Fertility no no no no Seperated household members Separated due to conflict, violence, no Do full or partial hh migrate? Do full or partial hh migrate? no human rights violations, natural or (B, I.2.1) (C, I.2.1) man-made disasters How many full/partial hh How many full/partial hh engagend in internal labour engagend in pastoral migration pre-conflict? (B, migration pre-conflict? (C, I.2.2) (comm ) I.2.2) (comm ) Household characteristics Characteristics of current dwelling no no no material of shelters (majority, others), offering protection or not (comm ) Characteristics of dwelling before no no no no displacement WASH indicators no no no no 5 hh - household Rapid Food Security Assessment of Rapid Food Security Assessment of IDP profiling of town camps in Survey of wishes of IDPs in Darfur - hhm hhm - household members IDP - hh questionnaire IDP - comm questionnaire West Darfur - hh questionnaire questionnaire comm - community ( question numbers and target group sin parentheses) Socioeconomic indicators Health status MUAC (hhm age 12-59 mths and no unknown no mother, sect 13) Education num of hhm (age 7-14) enrolled, and no unknown no attending school (by sex); reasons for not attending school (by sex) (1.5-1.7) Current employment num of hhm involved in most no employment type (hh ) no important inc generating activites; employment of any hhm during last week; 2yr recall ability of hh to find work by month (6.1-6.5) Employment before displacement no no unknown no Fertility no no unknown no Seperated household members Separated due to conflict, violence, no no unknown no human rights violations, natural or man-made disasters Household characteristics Characteristics of current dwelling no no yes (hh ) no Characteristics of dwelling before no no unknown no displacement WASH indicators source of drinking water (3.1) and (change in) problems with drinking unknown no toilet facility (3.2), access to electricity water; waste disposal (sect. 8, comm ) (4.11) (hh ) 6 hh - household Somali High Frequency Survey - Wave Registration Form (Darfur) - hhm Movement Tracking form - Returnee Assessment - Migrant survey Khartoum hhm - household members 2 - hhm questionnaire questionnaire hh questionnaire comm questionnaire (intentions) - hhm questionnaire comm - community ( question numbers and target group sin parentheses) Household characteristics (Physical) access to infrastructure e.g. water, food market, school, health no no conditions e.g. of water, knowing organizations that and services centre, legal aid (D.19; D.33-D43, hh ) market, school, recreation provide services to migrants (4.1, comm ) (15.3-5) Sources of income and remittances Main current source of income incl remittances and aid; info on gov no no proportion of hh with access no and aid assistance (D.90-91, hh ) to inc generation (8.3, comm ) Main source of income before similar details as current source of no no no no displacement income (D.91, hh ) Remittances (received and send) many details current and before no no no remittances as source of finance displacement (D.92-124, hh ) for migration and incentive to migrate (7.6) Shocks and coping strategies Hunger and coping strategies yes, 30- and 7-day recall incl situation no no no no before displacement (D.60-70, hh ) Other (non hunger) shocks & list of shocks incl effects on inc and vulnerabilities: illness, physical num of vulnerable hhm: vulnerabilities: num of no vulnerabilities assets, and coping (L.2-13, hh ) disability, pregnant/lactating, single separated/missing child, unaccomp children/ elders, parent, unaccomp minor/elder (K, unacc minor, malnourished, minor/ fem headed hh, hhm ) single parent, pregnant/ mental/ physical disabilities, lactating, mentally/ physically pregnant fem (by age group) disabled, serious medical (8.1, comm ) condition (hh ) Access to savings and credit yes, (D.75-78, hh ) no no no savings from current job (3.7, hhm ) Risk attitudes yes, (I.43-54, hh ) no no no no Food consumption For a detailed list of food items 7-day recall: when did any hhm have a no no no no given item, quantity, source and costs (E.5-20, hh ) For general food categories (e.g. 7-day recall: when did any hhm have no no no no cereals, FFV, meat) food group (E.4-7, hh ) Food aid Ever received food aid? (C.49, hhm ) no humanitarian assistance no no provided? (hh ) Non-food consumption For a detailed list of non-food items 7-day to 12 mths recall, purchases and no no no price of accomm. (8.5 hhm ) (mostly non-durables) other sources (F.3-11, hh ); health expensiture (K.2-12) 7 hh - household Darfur Population Tracking Darfur Population Tracking Darfur Population Tracking Sudan Village Assessment Form and hhm - household members Form, Part A. Displacement, Form, Part B. Form, Part C. Annex: Rapid Environmental and comm - community Return, and Settlement Internal Labor Migration Pastoral Migration of (Semi-) Livelihoods Assessment - comm comm level Form Nomadic Population - comm level ( question numbers and target group comm level level sin parentheses) Household characteristics (Physical) access to infrastructure no no no water sources, distance to local and services water facilities, no. and reasons of/for non-functioning water points (comm ) Sources of income and remittances Main current source of income no typical occupation (seasonal Contribution to hh food and main sources of and access to agricl, urban wage labor, income (C.3) (comm ) energy (Annex 6)(comm ) small trade) (B, 4.4) average annual hh income (B, 5.3) (comm ) Main source of income before no no no main livelihoods now? (Annex, displacement section 1) (comm ) Remittances (received and send) no average remittances received no main livelihoods pre-conflict? and transferred per year (B, (Annex, section 1)(comm ) 5.1, B, 5.2) main use of rem (B,5.4); primary transfer mechanism (B, 5.5)(comm ) Shocks and coping strategies Hunger and coping strategies no no What kind of assistance, if any has been received? Who provided aid? (comm ) Other (non hunger) shocks & no no no vulnerabilities Access to savings and credit no no no no Risk attitudes no no no no Food consumption For a detailed list of food items no no no no For general food categories (e.g. no no no no cereals, FFV, meat) Food aid no no no no Non-food consumption For a detailed list of non-food items no no no no (mostly non-durables) 8 hh - household Rapid Food Security Assessment of Rapid Food Security Assessment of IDP profiling of town camps in Survey of wishes of IDPs in Darfur - hhm hhm - household members IDP - hh questionnaire IDP - comm questionnaire West Darfur - hh questionnaire questionnaire comm - community ( question numbers and target group sin parentheses) Household characteristics (Physical) access to infrastructure no water, energy, (quality of) school (sect unknown no and services 8, comm ) Sources of income and remittances Main current source of income yes, incl dependency and relative no yes (hh ) no shares of diff sources (6.1-6.5); main constraints for income generation (6.7- 6.8) (hh ) Main source of income before no no unknown no displacement Remittances (received and send) no unknown no remittances can be reported as being among most important income sources (6.1-6.3) Shocks and coping strategies Hunger and coping strategies yes, number of times any hhm ate no unknown no yesterday; coping strategies last 7 days, last one year (hh ) Other (non hunger) shocks & no non-food assistance, incl perception unknown num of vulnerable hhm: chronic diseases, vulnerabilities about needs-based targeting (7-1 to 7- mentally disables, handicapped (sec 2) 4, comm ) Access to savings and credit access to credit and reasons for non- access to credit (6-1,6-2, comm ) unknown no access (7.1-7.2, hh ) Risk attitudes no no unknown no Food consumption For a detailed list of food items no no unknown no For general food categories (e.g. 30-day recall: food expenditure (8.1- no food expenditure (prices), dietary no cereals, FFV, meat) 8.10); 7-day recall: food consumption diversity, frequency of consumpt. of different items/categories (hh ) (quantity, source, num days consumed) (9.1-9.12) (hh ) Food aid no having food ration card (hh ) no yes, incl. details on food aid received by aid category (e.g. FFE, supplements) (10.1-10.8, hh ) Non-food consumption For a detailed list of non-food items no unknown no (mostly non-durables) 30-day recall: non-food expenditure (8.11-8.27, hh ) 9 hh - household Somali High Frequency Survey - Wave Registration Form (Darfur) - hhm Movement Tracking form - Returnee Assessment - Migrant survey Khartoum hhm - household members 2 - hhm questionnaire questionnaire hh questionnaire comm questionnaire (intentions) - hhm questionnaire comm - community ( question numbers and target group sin parentheses) Property and asset ownership Land ownership & agricultural land (incl abandoned due to no no no no activities conflict/captured, D.56-59), agric activities only reported if part of main occup/inc source or own land used for farming (hh ) Livestock many details incl ownership in last 12 current ownership (24, hh ) no no no mths (G.2-35, hh ) Durable goods/assets Detailed list incl transport, no no no no communication, amenities; ownership and worth (H.2-18, hh ) Social inclusion and social services Community participation/ participation in public meetings (D.79); no no no no involvement interaction with community leaders and non-clan members (D.80, I.42) (hh ) Perception about own situation personal relationships: intra-hh, no no needs assessment incl legal no neighbours (I.4-5), prospective living help and psychosocial standards (I.7) (hh ) support (8.2, 8.4); protection issues incl risk of separation (8.5-8.6) (comm ) Perceptions about social services health clinic, education (I.2-3); change no no no no (and civil servants) in employm opport (I.6); political leaders (I.25-26) (hh ) Usage of public services 12 mths recall: tried to get doc/permit, no no no no had police interaction; need for bribes (I.8-11); tax collection (I.27-28) (hh ) Trust in others (I.11); in police (I.14-15); no no no no justics institutions (I.16) (hh ) Perception about safety/ security in neighbourhood,longer distance no no safety and security incidents no travel (I.12-13, I.17-20); community (9.1-9.2, comm ) disputes (I.21-23) (hh ) Perceptions and opinion about rights e.g. on women's and human rights, no no type of discrimination (9.3, no of different groups equality in country and freedom of comm ) speech (I.31-I.40, hh ) Displacement & plans to move from Any IDP/refugee settled in I.30 (host comunity id, hh ) no no no no current settlement/ return to place of neighbourhood? origin 10 hh - household Darfur Population Tracking Darfur Population Tracking Darfur Population Tracking Sudan Village Assessment Form and hhm - household members Form, Part A. Displacement, Form, Part B. Form, Part C. Annex: Rapid Environmental and comm - community Return, and Settlement Internal Labor Migration Pastoral Migration of (Semi-) Livelihoods Assessment - comm comm level Form Nomadic Population - comm level ( question numbers and target group comm level level sin parentheses) Property and asset ownership Land ownership & agricultural no no Are most of the pastoral condition of rangeland (Annex 4.5); activities migrant sending hh also average size of hh farm (Annex 5.2, engaged in agriculture) 5.3) and condition (Annex 5.4), (C.3.1) (comm ) which % cultivated (Annex 5.5) (comm ) Livestock no no questionnaire referring to types of lifestock pre-conflict pastoral migr (semi-) nomadic (Annex, 4.1) and now (Annex, 4.2) populat (Form C)(comm ) and condition of lifestock (4.3)(comm ) Durable goods/assets no no no no Social inclusion and social services Community participation/ How many IDP no no What are the existing structures for involvement representatives? How many environmental representatives for the (Semi- governance/management to ensure )Nomadic (Agro-) pastoral that the resources needed are not residents? (A, section depleted unsustainably and that 2)(comm ) access to these resources is equitable? (Annex, 2.5)(comm ) Perception about own situation no no no Are these systems adequate for current and potential future population? (Annex, 2.6, 2.7)(comm ) Perceptions about social services no no no no (and civil servants) Usage of public services no no no no Trust no no no no Perception about safety/ security no If there has been a change in If there has been a change in If access to natural resources is the rate of participation [in any of the above routes since limited, is it because of insecurity, internal labor migration], the beginning of the conflict, presence of IDPs, damage? (Annex, why? Insecurity as option (B, why? Insecurity as option (C, 3.1, 3.2)(comm ) I. 2.4)(comm ) I.1.3)(comm ) Perceptions and opinion about rights no no no no of different groups Displacement & plans to move from Any IDP/refugee settled in pre-conflict population: tribe Main areas of destination pre- no no current settlement/ return to place of neighbourhood? 1-3; No. of individuals and conflict (B, I.1.1); Current origin HHs; place of departure, past main areas of destination (B, locations of stay (detailed) I.1.2)(comm ) (Form A)(comm ) 11 hh - household Rapid Food Security Assessment of Rapid Food Security Assessment of IDP profiling of town camps in Survey of wishes of IDPs in Darfur - hhm hhm - household members IDP - hh questionnaire IDP - comm questionnaire West Darfur - hh questionnaire questionnaire comm - community ( question numbers and target group sin parentheses) Property and asset ownership Land ownership & agricultural Land cultivation (5.1); reason for not problems accessing farm land and land access (hh ) no activities cultivating land (5.2), size of land and prevalent land tenure (2-4 to 2-6, crop production (5.4-5.10) (hh ) comm ) Livestock no no yes, curent ownership (4.13-4.18, hh ) curent ownership ( hh ) Durable goods/assets Detailed list incl transport, wealth groups: proportions by sex of ownership of basic assets (hh ) no communication, amenities; ownership hh-head, land cultivation, livestook (4.1-4.10, hh ) holding (2-1 to 2-3; 2-7, comm ) Social inclusion and social services Community participation/ no no unknown no involvement Perception about own situation immediate and long-term priorities immmediate and long-term priorities yes, relationships betw IDPs and host no (12.1-12.2, hh ) (9-1,9-2, comm ) community (p. 10); unclear if hh or comm level (probably hh ) Perceptions about social services no no unknown no (and civil servants) Usage of public services no no unknown no Trust no no unknown no Perception about safety/ security no no unknown no Perceptions and opinion about rights no no unknown no of different groups Displacement & plans to move from Any IDP/refugee settled in no num of IDP and refugee hhs; arrivals unknown no current settlement/ return to place of neighbourhood? and departures in past year (1-1, 1-3 origin comm ) 12 hh - household Somali High Frequency Survey - Wave Registration Form (Darfur) - hhm Movement Tracking form - Returnee Assessment - Migrant survey Khartoum hhm - household members 2 - hhm questionnaire questionnaire hh questionnaire comm questionnaire (intentions) - hhm questionnaire comm - community ( question numbers and target group sin parentheses) Place of origin; time and reason of yes (J.2-5, hh) place and timing of displacement, point and planned final num of returnees by state place of residence before displacement time of arriving at IDP gathering (9-15, destination of current and time of last migrating, time of arriving, hh ) movement; date of displacement; time of return reasons for migrating incl displacement (hh ) (6.1-6.2, 6.4, comm ) conflict (1.12, 1.14, 6.1-16, hhm ) Changed residence since first yes and reasons (J.6-7; J.29-41; J.46-48; no no experience of multiple previous migration to Sudan and displacement? Or tried to do so? Or J.51-53 hh ) displacement (6.3, comm ) other countries and reasons planning to leave? Or may need to (1.15-16); duration and route of leave? transit to current place, (5.1-6, 8.1-2) (hhm ) Reasons for chosing current location yes, incl details on settling (J.8-13, hh ) no no reason for return, voluntary reasons for coming to Sudan (incl or forced return (6.5-6.6), transit) (13.1-5, hhm ) intentions to stay and reasons (7.1-7.2) (comm ) Situation in current settlement yes, incl networks (J.28); freedom of no no no yes, incl safety, economic movement, security (J.42-45), reasons situation, health care, for staying (J.49-50) (hh ) satistfaction (10.1-6, hhm ) Hhm displaced to other location? yes, (J.20-27, hh ) no no no no Contact to place of origin/those left yes, (J.14-19, hh ) no no no no behind? 13 hh - household Darfur Population Tracking Darfur Population Tracking Darfur Population Tracking Sudan Village Assessment Form and hhm - household members Form, Part A. Displacement, Form, Part B. Form, Part C. Annex: Rapid Environmental and comm - community Return, and Settlement Internal Labor Migration Pastoral Migration of (Semi-) Livelihoods Assessment - comm comm level Form Nomadic Population - comm level ( question numbers and target group comm level level sin parentheses) Place of origin; time and reason of Populations movements to Propensity to migrate (B, Propensity for pastoral Are there any returnees who went displacement and from the settlement sections I.1; II.1)(comm ) migration (C.2)(comm ) back to the place of displacement? recently? No. of movements; (p.1 on main form)(comm ) primary/secondary displacement to settlement by IDPs, long-term (non)sudanese migrants, seasonal return by former IDPs? (up to 4 movements) (Form A) (comm ) Changed residence since first reason for movement (free no no no displacement? Or tried to do so? Or answer) (Form A)(comm ) planning to leave? Or may need to leave? Reasons for chosing current location no no no resource availability, productivity and management for livelihoods and shelter (Annex, section 2)(comm ) Situation in current settlement no Do full or partial hh migrate? Do full or partial hh migrate? no (B, I.2.1; II.1.2) (C, I.2.1) How many full/partial hh How many full/partial hh engagend in internal labour engagend in pastoral migration pre-conflict? (B, migration pre-conflict? (C, I.2.2; II.2.2)(comm ) I.2.2)(comm ) Hhm displaced to other location? no no no no Contact to place of origin/those left intended date of departure no no no behind? and detailed destination information, also mode of transport (Form A)(comm ) 14 hh - household Rapid Food Security Assessment of Rapid Food Security Assessment of IDP profiling of town camps in Survey of wishes of IDPs in Darfur - hhm hhm - household members IDP - hh questionnaire IDP - comm questionnaire West Darfur - hh questionnaire questionnaire comm - community ( question numbers and target group sin parentheses) Place of origin; time and reason of time of arriving in this location and main states of origin/departure (1-4,1- unknown area of origin and date of arrival for hh- displacement previous state of residence (2.2-2.4, 5 comm ) head (sec 1) hh ) Changed residence since first no no unknown no displacement? Or tried to do so? Or planning to leave? Or may need to leave? Reasons for chosing current location no no unknown no Situation in current settlement no no unknown no Hhm displaced to other location? no no unknown no Contact to place of origin/those left Did hh previously attempt & failed to attempts and reasons for not unknown no behind? return & re-settle? (2.7, hh ) successfully returning (1-8, 1-9 comm ) 15 hh - household Somali High Frequency Survey - Wave Registration Form (Darfur) - hhm Movement Tracking form - Returnee Assessment - Migrant survey Khartoum hhm - household members 2 - hhm questionnaire questionnaire hh questionnaire comm questionnaire (intentions) - hhm questionnaire comm - community ( question numbers and target group sin parentheses) Plans to return to place of origin? yes, time and reasons (J.46; J.51-52, no returning to place of origin?; only returnees: managed to yes, 19.2-5 (hhm ) Displacement & plans to move from hh ) date of return; seasonal or return to habitual residence permanent return? (hh ) and reasons if not (3.1-3.3, current settlement/ return to place of comm ) origin Plans to locally integrate or resettle? plans to relocate and things needed to no no no plans and destination countries settle (J.46; J.57, hh ) of choice and reasons (9, 10.6, 17.1-10) plans to stay (19.1) (hhm ); (14, 17.11-15, 18.1-5 for fellow migrants ) Characteristics of preferred location yes (J.55-61, hh ) no no no no Information need, sources and use regarding situation in country and no no what info did hh rely on to information through migrant choice to stay, resettle or return (J.62- return? What info was networks and others (incl 66, hh ) difficult to access (10.1-10.2, agents/brokers), relevance of comm ) netw for own decision to migrate (7.1-6, 11-12); perception about ease to (in)formally migrate to diff countries (16.1-2) (hhm ) 16 hh - household Darfur Population Tracking Darfur Population Tracking Darfur Population Tracking Sudan Village Assessment Form and hhm - household members Form, Part A. Displacement, Form, Part B. Form, Part C. Annex: Rapid Environmental and comm - community Return, and Settlement Internal Labor Migration Pastoral Migration of (Semi-) Livelihoods Assessment - comm comm level Form Nomadic Population - comm level ( question numbers and target group comm level level sin parentheses) Plans to return to place of origin? no no no no Displacement & plans to move from current settlement/ return to place of origin Plans to locally integrate or resettle? no no no no+K3 Characteristics of preferred location no no no no Information need, sources and use 17 hh - household Rapid Food Security Assessment of Rapid Food Security Assessment of IDP profiling of town camps in Survey of wishes of IDPs in Darfur - hhm hhm - household members IDP - hh questionnaire IDP - comm questionnaire West Darfur - hh questionnaire questionnaire comm - community ( question numbers and target group sin parentheses) Plans to return to place of origin? yes, incl time (2.5); any hhm away proportion of hh who plan to return unknown yes (sec 3) Displacement & plans to move from preparing return? (2.6) (hh ) and reasons for not returning (1-6, 1- 7, comm ) current settlement/ return to place of origin Plans to locally integrate or resettle? yes (sec 3) Characteristics of preferred location no no unknown no Information need, sources and use no no unknown no 18 Sudan IDP Profiling Preparation   June 21, 2017  Appendix C ‐ Linking the DS framework to existing instruments      93  Linking questionnaires to the DS Framework WB IOM ReDSS indicators (and other relevant) Somali High Frequency Survey - Registration Form Movement Tracking Returnee Assessment - Migrant survey Darfur Population Darfur Population Darfur Population Wave 2 - hhm (Darfur) - hhm Form - hh comm (intentions) - hhm Tracking Form, Part A. Tracking Form, Part Tracking Form, Part C. Displacement, Return, B. Labour Migration Pastoral Migration of and Settlement - Form - comm (Semi-) Nomadic comm Population - comm Long-term safety, Violent crimes, safety incidences, sexual Confidence in police protection (self no no safety and security incidents no no no no security and gender based violence & property from crime and (9.2) freedom of violence)(I.14-15); crime and violence movement being reasons for movement (sect J) Freedom of movement Freedom of movem in current no no no no questions on type of questions on labour questionnaire on settlement (J.42) movement, reasons for migration routes pastoral migration info available movement, to where, some proxies from where part of info (A, sections 4, 5) no info avail. Adequate access to police and judiciary Confidence in police and trust in no no who do returnees report to in no no no no justice institutions (I.14-16), whom to case of security indicence (9.4) turn to following community disputes (I.21-23) Feeling safe in their current place of Perceptions about saftey (I.12-13); no no yes (9.1) no only reasons for If there has been a If there has been a residence things that could be done to improve movement (to and from change in the rate of change in any of the neighbourh security (I.17) current settlement), free participation [in above routes since the answer (Form A) internal labor beginning of the migration], why? conflict, why? Insecurity Insecurity as option as option (C, I.1.3) (B, I. 2.4) Stigmitization (verbal violence, insults, Perceptions/opinion about rights of no no discrimination (religious, no no no no exclusion, etc. ) different population groups (I.31- gender, ethnic) (9.3) I.33;I.38-I.40); preference to deal with people from same clan? (I.42) Feeling accepted in the community Satisfaction with relation with no no no no no no no neighbors (I.5); trust in people (I.11) Other relevant indicators What is needed to settle in location no no protection issues for families aspirations for after no no no of preference? (J.57- J.59) and children; safety issues (8.5- migrating (17.2-8) 8.6) An adequate Adequate food consumption Food consumption of different food no no food - needs and associated no no no no standard of living, groups and detailed list of items (sect problems (8.4) including a E). minimum access to adequate food, water, housing, health care and GAM/SAM no no no no no no no no basic education Adequate access to potable water, Source and treatement of drinking no no conditions of water, sewerage no no no no sanitation and hygiene water (D.18,D.21); toilet facility (D.27- (4.1); sanitation/hygiene - 29); solid waste disposal (D.30) needs and associated problems (8.4) Adequate access to health care Access to health centre (D.35); access no no health - needs and associated no no no no to health care among reasons for problems (8.4) chosing location (sect J); medic treatment for last illness (C.100-101) Children with adequate access to School attendance and reasons for no no educ - needs and associated no no no no education not attending (C.35-37); access to problems (8.4) nearest school (D.34); access to educ among reasons for chosing location (sect J) 1 Linking questionnaires to the DS Framework IOM WFP HAC ReDSS indicators (and other relevant) Sudan Village Rapid Food Security Asessment of Rapid Food Security Asessment IDP Profiling - extrapolated from Wishes of IDPs in Assessment Form and IDP - hh - comm report (no quest) Darfur - hhm Annexx: Rapid Environmental and Livelihoods Assessment - comm Long-term safety, Violent crimes, safety incidences, sexual no no no no no security and gender based violence freedom of movement Freedom of movement no no no no no info available some proxies part of info no info avail. Adequate access to police and judiciary no no no no no Feeling safe in their current place of If access to natural no no no no residence resources is limited, is it because of insecurity, presence of IDPs, damage? (Annex, 3.1, 3.2) Stigmitization (verbal violence, insults, no no no no no exclusion, etc. ) Feeling accepted in the community no no no information on relationship no betw IDPs and resident comm Other relevant indicators no immediate and long-term immediate and long-term no no priorities (12.1-12.2) priorities (9.1-9.2) An adequate Adequate food consumption food sources, food food consumption (9.1-9.12), no food expenditure (prices), no standard of living, assistance, when last MUAC (hhm age 12-59 mths, dietary diversity, frequency of including a provided, next sect 13) consumpt. minimum access to distribution, food adequate food, shortage in future (Main water, housing, VA Form, p.1) health care and GAM/SAM no no no no no basic education Adequate access to potable water, functioning water source of drinking water (3.1) (change in) problems with no no sanitation and hygiene sources, distance (Main and toilet facility (3.2) drinking water; waste disposal VA Form, p.3); no (sect. 8) information on water quality or cleaning Adequate access to health care construction, distance, no no no beds, equipment, medicine etc. available (Main VA Form, p.2) Children with adequate access to construction, distance, num of children enrolled and no no no education teacher/student no.s, attending school (by sex) (1.5- assistance (Main VA 1.7) Form, p.2); no info on yrs of schooling or age groups 2 ReDSS indicators (and other relevant) Somali High Frequency Survey - Registration Form Movement Tracking Returnee Assessment - Migrant survey Darfur Population Darfur Population Darfur Population Wave 2 - hhm (Darfur) - hhm Form - hh comm (intentions) - hhm Tracking Form, Part A. Tracking Form, Part Tracking Form, Part C. Displacement, Return, B. Labour Migration Pastoral Migration of and Settlement - Form - comm (Semi-) Nomadic comm Population - comm An adequate Adequate access to safety net Receiving remittances (D.92-D.113); no no no no no no no standard of living, interventions or receive remittances coping strategy to shocks (L.11); including a access to aid among reasons for minimum access to chosing location (sect J) adequate food, water, housing, health care and basic education Other relevant indicators Food ratio card received from aid vulnerability status num of vulnerable vulnerabilities (e.g. num of earning enough to meet no no no agency? (C.49); access to savings and (health, pregnant hhm (health, unaccomp children/ elders etc. basic needs before credit (D.75-78); prospective living etc.) (K) pregnant etc.); by age group) (8.1) displacem /current (3.6, standards (I.7) humanitarian 4.6) assistance provided? Access to Legal or administrative barriers to Can be reported as barriers to secure no no no no no no no employment and employment or economic activity employment (C.71) livelihoods Unemployment among returnees after Many details on current (C.85-96) Current occupation current occupation no current work and work no no no and before displacement (un)employment and activity before and occupation (hh ) before migrating (3.1- displacement? (C.85-C.93) before displacement 8,4.1-7) (L,M) Access to sustainable employment What is the main support hhm no no proportion of hh with access to job satisfaction before no no no conditions needs to secure employment? (C.71) inc generation (8.3) displacem /current (3.8, 4.7) Poverty levels during and before current asset index and basic no no no not meeting basic needs no no no displacement consumption aggregate can be among reasons to constructed ; characteristics of migrate (6.6) currently dwelling now and before earning enough to meet displacement basic needs (10.3) Other relevant indicators lifestock ownership (G.2-35) lifestock ownership no no no no no no (24) Access to effective Adequate housing (not overcrowded Characteristics of dwelling (sect D); no no shelter breakdown for hh (3.4); no no no no mechansims that households/shelter and/or precarious degree to which dwelling is safe in shelter/housing - needs and restore their structure and /or at risk of sudden terms of legal/customary possibilities associated problems (8.4) housing, land and eviction) to stay (D.7-11) property or Existence of effective and accessible Access to land among reasons for no no legal help - needs and no no no no provide them with mechanisms to ensure access to land and chosing location (sect J); being associated problems (8.4) compensation. /or secure tenure recognized legal owner of land (D.59); access to legal aid (D.39) Loss of HLP and having their claims Destruction of assets (L.2); land no no no no no no no resolved owned but abandoned due to conflict/captured (D.56-59) Secured right to Housing, Land and Degree to which dwelling is safe in no no no no no no no Property (with documents to prove terms of legal/customary possibilities ownership/tenancy) to stay (D.7-11) Other relevant indicators Corruption and bribery (I.9); Do you no no hh able to access their property no no no no have to give money or goods in order for reclaiming etc. (3.3) to secure and maintain a specific shelter here? (J.43) Access to and Possibility to obtain/replace documents Have you tried to get doc/permit in no no no no no no no replacement of for IDPs/returnees past 12 mths? Need to pay a bribe? personal and other (I.8-9) documents Having birth certificates, national ID cards Having legal documentation and no no no having valid passport no no no or other personal documents which type (C.16-17) (17.16) Other relevant indicators no no no no no no no no 3 ReDSS indicators (and other relevant) Sudan Village Rapid Food Security Asessment of Rapid Food Security Asessment IDP Profiling - extrapolated from Wishes of IDPs in Assessment Form and IDP - hh - comm report (no quest) Darfur - hhm Annexx: Rapid Environmental and Livelihoods Assessment - comm An adequate Adequate access to safety net kind of assistance (food, non-food assistance, incl no no standard of living, interventions or receive remittances water, NFI, agricul, perception about needs-based including a educ), who provided targeting (7-1 to 7-4) minimum access to (Main VA Form, p.3); no remittances, donor & gov adequate food, info on duration, support can be reported as water, housing, recipients, size being among most important health care and income sources (6.1-6.3) basic education Other relevant indicators no Access to credit (7.1-7.2); food Access to credit (6.1-6.2); WFP food ration card num of vulnerable aid received (10.1-10.8) hhm (sec 2) Access to Legal or administrative barriers to no no problems accessing farm land no no employment and employment or economic activity (2.4 - 2.5) livelihoods Unemployment among returnees after no current employment (6.1-6.5) no current employment type no and before displacement Access to sustainable employment livestock (Annex 4); main constraints for inc no no no conditions agriculture (Annex 5); generation (6.7-6.8); 2yr recall: access to natural ability to find work by month resources (Annex 3)--> (6.1-6.5) all also related to evaluation of future use Poverty levels during and before no current asset index could be current wealth groups: characteristics of current no displacement constructed; characteristics of proportions by hh dwelling; may be possible to current dwelling characteristics (2.1-2.3; 2.7) construct current asset index Other relevant indicators no lifestock ownership (4.13-4.18); no land access no land cultivation (5.1) Access to effective Adequate housing (not overcrowded only material no no no no mechansims that households/shelter and/or precarious restore their structure and /or at risk of sudden housing, land and eviction) property or Existence of effective and accessible no no no no no provide them with mechanisms to ensure access to land and compensation. /or secure tenure Loss of HLP and having their claims no no no no no resolved Secured right to Housing, Land and no no no no no Property (with documents to prove ownership/tenancy) Other relevant indicators no no no no no Access to and Possibility to obtain/replace documents no no no no no replacement of for IDPs/returnees personal and other documents Having birth certificates, national ID cards no no no no no or other personal documents Other relevant indicators no no no no no 4 ReDSS indicators (and other relevant) Somali High Frequency Survey - Registration Form Movement Tracking Returnee Assessment - Migrant survey Darfur Population Darfur Population Darfur Population Wave 2 - hhm (Darfur) - hhm Form - hh comm (intentions) - hhm Tracking Form, Part A. Tracking Form, Part Tracking Form, Part C. Displacement, Return, B. Labour Migration Pastoral Migration of and Settlement - Form - comm (Semi-) Nomadic comm Population - comm Voluntary Number of unaccompanied and no no no no no no no no no reunification with separated IDPs/returnee children for family members whom a best interest determination is separated during needed but has not been conducted displacement Accessible and efficient mechanisms have Possibility to get in touch with no no no no no no no been put in place to reunite IDP/returnee separated hhm (C.114,J.25); Do you separated family members have info on location of displaced children? (J.22) Number of IDP/returnee children or other Demographics of separated hhm no no no no no no no dependent persons who have not yet (C.110-114); hhm /children displaced been reunited with their families to another location? (J.20-21) Other relevant indicators Plans and reasons to return (J.46; no returning to place or managed to return to habitual lived with family before no no no J.51-52, hh) origin?; seasonal or residence and reasons if not displ (1.13); plans and permanent return? (3.1-3.3); reasons to return destin country of choice (6.5) and reasons (9, 10.6, 17.1-10), plans to stay (19.1) and return ( 19.2- 5) Participation in No legal or administrative obstables that Perceptions and opinion about rights no no no no no no no public affairs at all prevent them from voting, being elected of different groups (I.31-I.33;I.38-I.40) levels on an equal or working in public service basis with the resident Participation in community or social Participation in public meetings no no no no no no no population organizations (youth / women / (D.79); interaction with community environmental / sports groups and leaders and non-clan members (D.80, others) I.42) Involvement in public decision making Participation in public meetings no no no no How many IDP no no processes, or local reconciliation/ (D.79); interaction with community representatives? How confidence-building initiatives (e.g., local leaders and non-clan members (D.80, many representatives for peace committees, public debates and I.42) the (Semi-)Nomadic (Agro- others) ) pastoral residents? (A, section 2) Other relevant indicators Satisfaction with political actors (I.25) no no no plans no no no and who of all political actors best represents interests of all Somalis? (I.24) Effective remedies Perception that violations suffered have Trust in justice institut. (I.14-16) no no no no no no no for displacement- been effectively remedied and a sense of related violations, justice restored including access to Accessible mechanisms that have the Access to legal aid (D.39) no no legal help - needs and no no no no justice, reparations legal mandate and capacity to provide associated problems (8.4) and information IDPs/returnees with effective remedies about the causes of for violations suffered violations Having accessed formal or Whom to turn to following no no no no no no no infomal/traditional justice mechansims community disputes and satisfaction last time they needed it with this actor (I.21-23) Other relevant indicators Access to information to make no no which information is difficult inform. needs, sources no no no return/movement decisisons (J.66) for returnees to access? and use for migration (services etc.) 10.3; psycosicial decisions (7.1-6, 11-12) support - needs and associated problems (8.4) Other relevant Risk attitudes (I.43-54); existence of no no experience of multiple migration route and multiple movements labour migration pastoral migration indicators for DS/ networks in current location (J.28) displacements prior to return? duration (of transit to to/from current routes (B.1.1 a-d) routes (C.1.1, 1.2, 1.3) protracted (6.3); current place)(5.1-6); settlement? (A, sections 4 displacement reasons for returning 6.5; migrant networks (7.1-6) and 5) intentions to stay and reasons (7.1-7.2) 5 ReDSS indicators (and other relevant) Sudan Village Rapid Food Security Asessment of Rapid Food Security Asessment IDP Profiling - extrapolated from Wishes of IDPs in Assessment Form and IDP - hh - comm report (no quest) Darfur - hhm Annexx: Rapid Environmental and Livelihoods Assessment - comm Voluntary Number of unaccompanied and no no no no no reunification with separated IDPs/returnee children for family members whom a best interest determination is separated during needed but has not been conducted displacement Accessible and efficient mechanisms have no no no no no been put in place to reunite IDP/returnee separated family members Number of IDP/returnee children or other no no no no no dependent persons who have not yet been reunited with their families Other relevant indicators no plans to return?; hhm away no no plans to return, preparing return?; did locally integrate or hhpreviously attempt & failed resettle (sec 3) to return & re-settle? (2.5-2.7) Participation in No legal or administrative obstables that no no no no no public affairs at all prevent them from voting, being elected levels on an equal or working in public service basis with the resident Participation in community or social no no no no no population organizations (youth / women / environmental / sports groups and others) Involvement in public decision making no no no no no processes, or local reconciliation/ confidence-building initiatives (e.g., local peace committees, public debates and others) Other relevant indicators no no no no no Effective remedies Perception that violations suffered have no no no no no for displacement- been effectively remedied and a sense of related violations, justice restored including access to Accessible mechanisms that have the no no no no no justice, reparations legal mandate and capacity to provide and information IDPs/returnees with effective remedies about the causes of for violations suffered violations Having accessed formal or no no no no no infomal/traditional justice mechansims last time they needed it Other relevant indicators no no no no no Other relevant no no no no no indicators for DS/ protracted displacement 6 Sudan IDP Profiling Preparation   June 21, 2017  Appendix D – Proposed survey questionnaire    100  This PDF generated by siqbal3, 5/18/2017 4:37:37 PM Sections: 13, Sub-sections: 29, Questions: 567. Questionnaire created by siqbal3, 5/16/2017 12:34:00 AM Questions with enabling conditions: 322 Last modified by siqbal3, 5/18/2017 8:13:35 PM Questions with validation conditions: 81 Rosters: 14 Not shared with anyone Variables: 114 Sudan Questionnaire MODULE 1: INTRODUCTION No sub-sections, No rosters, Questions: 12, Static texts: 1. MODULE 2: ADMINISTRATIVE INFORMATION No sub-sections, Rosters: 1, Questions: 33, Static texts: 8, Variables: 54. MODULE A: INTERVIEW AND HOUSEHOLD INFORMATION No sub-sections, No rosters, Questions: 7, Static texts: 9, Variables: 1. MODULE B: HOUSEHOLD ROSTER Sub-sections: 11, Rosters: 3, Questions: 94, Static texts: 7, Variables: 20. MODULE C: HOUSEHOLD CHARACTERISTICS Sub-sections: 5, No rosters, Questions: 134, Static texts: 13, Variables: 2. MODULE D: FOOD CONSUMPTION Sub-sections: 5, Rosters: 5, Questions: 108, Static texts: 4, Variables: 29. MODULE E: NON-FOOD CONSUMPTION No sub-sections, Rosters: 1, Questions: 13, Static texts: 2, Variables: 1. MODULE F: LIVESTOCK No sub-sections, Rosters: 2, Questions: 12, Static texts: 2. MODULE G: DURABLE GOODS No sub-sections, Rosters: 2, Questions: 24, Static texts: 2, Variables: 7. MODULE H: WELLBEING AND OPINIONS Sub-sections: 5, No rosters, Questions: 51, Static texts: 8. MODULE I: CONFLICT AND DISPLACEMENT Sub-sections: 3, No rosters, Questions: 58. MODULE J: END OF INTERVIEW No sub-sections, No rosters, Questions: 9. MODULE K: ENUMERATOR FEEDBACK No sub-sections, No rosters, Questions: 12. APPENDIX A — ENABLING CONDITIONS APPENDIX B — VALIDATION CONDITIONS AND MESSAGES APPENDIX C — INSTRUCTIONS APPENDIX D — OPTIONS APPENDIX E — VARIABLES APPENDIX F — OPTION FILTERS LEGEND 1 / 79 MODULE 1: INTRODUCTION Please begin by tapping this button to take the time. DATE: CURRENT TIME today 1.1 Is this fieldwork, a training, or an exam? SINGLE-SELECT type 01 Field work 02 Training 03 Exam 1.2 Please enter the exam number. NUMERIC: INTEGER examnumber E type==3 1.3 Select the module(s) you want to view. MULTI-SELECT modules E type.InList(2,3) 01 All modules 02 Module 2: Administrative information 03 Module A: Interview and household information 04 Module B: Household roster 05 Module C: Household characteristics 06 Module D: Food consumption 07 Module E: Non-food consumption 08 Module F: Livestock 09 Module G: Durable goods 10 Module H: Well being and opinions 11 Module I: Conflict and displacement 12 Module J: End of interview 13 Module K: Enumerator feedback 1.4 [Enumerator] Please scan your barcode. BARCODE qr_id I If your barcode is not available, you can indicate this below. 1.5 Please confirm that you are %qr_id%. SINGLE-SELECT qr_idcheck E IsAnswered(qr_id) 01 Yes 00 No STATIC TEXT E qr_idcheck==0 If you are not %qr_id% please continue and select your name and team. 1.6 Please confirm that your barcode is not available. SINGLE-SELECT qr_noid 01 My barcode is NOT available I If your barcode is not available, please tab below to select your team and name manually E !IsAnswered(qr_id) 00 My barcode is available V1 self==1 M1 If your barcode is available please scan it in the question above. 1.7 Which team are you in? SINGLE-SELECT team_id_idp E qr_noid==1 || qr_idcheck==0 || !IsAnswered(qr_id) 01 Team 1 02 Team 2 03 Team 3 04 Team 4 1.8 Which member of the team are you? SINGLE-SELECT: CASCADING enum_id_idp 11 Name 1 12 Name 2 13 Name 3 14 Name 4 15 Name 5 16 Name 6 21 Name 1 22 Name 2 23 Name 3 24 Name 4 25 Name 5 26 Name 6 31 Name 1 32 Name 2 33 Name 3 34 Name 4 And 8 other [1] 1.9 Is your name %enum_id_idp% from %team_id_idp%? SINGLE-SELECT enum_check_idp E IsAnswered(enum_id_idp) 01 Yes V1 self==1 00 No M1 Please go back and choose your correct identifier. 1.10 If your name is not in the list above, please enter your name TEXT name_idp manually. E !IsAnswered(enum_id_idp)&&!IsAnswered(qr_id) MODULE 1: INTRODUCTION 2 / 79 1.11 How many interviews have you personally successfully SINGLE-SELECT int_num completed in this EA? This does not include your current visit. 00 0 01 1 I (put 0 if this is the first, 1 if you completed already fully completed one interview, and so on). 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 MODULE 2: ADMINISTRATIVE INFORMATION STATIC TEXT This is the beginning of Module 0 collecting administrative information. Please begin by pressing 'Tab to record current time' DATE: CURRENT TIME todayA_A_b 2.1 Please scan the Enumeration Area bar code. BARCODE qr_id_ea V1 qr_id_ea.Length == 4 M1 Please scan the correct bar code. The bar code number should be 4 digits long. VARIABLE LONG int_qr_id_ea Convert.ToInt32(qr_id_ea) 2.2 Please confirm that you are in Enumeration Area %qr_id_ea%. SINGLE-SELECT qr_id_ea_check E IsAnswered(qr_id_ea) 01 Yes 00 No 2.3 Please confirm that the enumeration area bar code is not SINGLE-SELECT qr_noid_ea available. 01 The enumeration areas barcode is NOT I If your barcode is not available, please tab below to select your team and name manually available E !IsAnswered(qr_id_ea) 00 The enumeration area barcode is available V1 self==1 M1 If the enumeration area bar code is available please scan it in the question above. 2.4 Please select the EA you are in. SINGLE-SELECT: COMBO BOX ea_idp E !IsAnswered(qr_id_ea) || qr_id_ea_check==0 3002 3002 3003 3003 3005 3005 3006 3006 3007 3007 3008 3008 3010 3010 3011 3011 3012 3012 3014 3014 3015 3015 3016 3016 3017 3017 3019 3019 3020 3020 3022 3022 And 228 other [2] VARIABLE LONG int_ea_idp Convert.ToInt32(ea_idp) 2.5 If you are unable to find the enumeration area number in the TEXT ea_idp_r drop down box above, please write the whole EA code. It should be 4 digits long. E !IsAnswered(ea_idp) && !IsAnswered(qr_id_ea) V1 self.Length==4 M1 The enumeration area code should be 4 digits long. VARIABLE LONG int_ea_idp_r Convert.ToInt32(ea_idp_r) 2.6 Is this a replacement enumeration area? SINGLE-SELECT rep_ea_idp 01 Yes 00 No VARIABLE LONG ea_i IsAnswered(qr_id_ea) ? (int)int_qr_id_ea : IsAnswered(ea_idp) ? (int)int_ea_idp : (int)int_ea_idp_r VARIABLE LONG ea_ic ea_i*100 MODULE 2: ADMINISTRATIVE INFORMATION 3 / 79 2.7 Which enumeration block are you in? 'The block number is the SINGLE-SELECT ea_block last two digits of the 6 digit number on your map. 01 Block 01 02 Block 02 03 Block 03 04 Block 04 05 Block 05 06 Block 06 07 Block 07 08 Block 08 09 Block 09 10 Block 10 11 Block 11 12 Block 12 VARIABLE LONG eb (int)ea_block VARIABLE LONG ea_eb ea_ic+eb 2.9 Please confirm you are in Enumeration Area %ea_i% and block SINGLE-SELECT ea_block_confirm_idp %eb%. 'The block number is the last two digits on your map.' 01 Yes E IsAnswered(ea_block) 00 No 2.10 Please record the GPS coordinates. GPS loc N W A 2.11 Please confirm that the GPS does not work at the moment. SINGLE-SELECT loc_check E !IsAnswered(loc) 01 Yes 00 No STATIC TEXT E !(loc.InRectangle((double)gpscheck[(int)ea_eb].latmax, (double)gpscheck[(int)ea_eb].longmin, (double)gpscheck[(int)ea_eb].latmin, (double)gpscheck[(int)ea_eb].longmax)) Note: According to the GPS you do not appear to be in block %eb% of %ea_i%. Please ensure you have selected the correct enumeration area, or that your GPS accuracy is good enough. 2.14 Are you returning to a household that you tried to visit earlier? SINGLE-SELECT return1 01 Yes 00 No 2.15 What number visit is this to this household? NUMERIC: INTEGER visit_n I Remember, if you have unsuccessfully attempted to interview a household three times you should not tr y to interview the household again. You should tab on complete and submit this interview. You shoul And 67 other symbols [1] E return1==1 V1 self>1 && self<=3 M1 The number of visits should be more than 1 and less than 3. 2.16A Please enter the structure number of the structure you are NUMERIC: INTEGER strid_seg1ret1 returning to? E return1==1 V1 self<20 M1 The number of structure should be less than 20. 2.16B Please enter the household number of the household you are NUMERIC: INTEGER hhid_seg1ret1 returning to visit. E return1==1 V1 self<=100 M1 The household number should be less than or equal to 100. 2.12 Is this a replacement household? SINGLE-SELECT replacement_hh 01 Yes 00 No 2.13A Please enter the number of the structure of the original NUMERIC: INTEGER str_n_o household you are replacing. E replacement_hh == 1 V1 self<20 M1 The structure number should be less than 20. 2.13B Please enter the number of the household you are replacing. NUMERIC: INTEGER hhid_rep E replacement_hh==1 V1 self<100 M1 The household number should be less than 100 2.17 How many residential structures do you see in your block? NUMERIC: INTEGER n_str E return1==0 VARIABLE DOUBLE random_draw Quest.IRnd() MODULE 2: ADMINISTRATIVE INFORMATION 4 / 79 STATIC TEXT E (return1 + replacement_hh == 0) Please go to each structure in turn, select it on the tablet by clicking below on each box reading "Residential Structure", and record GPS coordinates. MODULE 2: ADMINISTRATIVE INFORMATION Roster: RESIDENTIAL STRUCTURE generated by numeric question n_str structure_r E (return1 + replacement_hh == 0) A.18 Record the GPS. GPS gps N E return1==0 W A A.19 Please confirm that the GPS does not work at the moment. SINGLE-SELECT loc_check_seg E !IsAnswered(gps) 01 Yes 00 No VARIABLE LONG str1 (long)Math.Round(random_draw.Value*n_str.Value+0.5) VARIABLE LONG str2 (long)Math.Round((random_draw*10 - (long)Math.Floor((random_draw*10).Value)).Value *n_str.Value+0.5) VARIABLE LONG str3 (long)Math.Round((random_draw*100 - (long)Math.Floor((random_draw*100).Value)).Val ue*n_str.Value+0.5) VARIABLE LONG str4 (long)Math.Round((random_draw*1000 - (long)Math.Floor((random_draw*1000).Value)).V alue*n_str.Value+0.5) VARIABLE LONG str5 (long)Math.Round((random_draw*10000 - (long)Math.Floor((random_draw*10000).Value)) .Value*n_str.Value+0.5) VARIABLE LONG str6 (long)Math.Round((random_draw*100000 - (long)Math.Floor((random_draw*100000).Value )).Value*n_str.Value+0.5) VARIABLE LONG str7 (long)Math.Round((random_draw*10000000 - (long)Math.Floor((random_draw*10000000).V alue)).Value*n_str.Value+0.5) VARIABLE LONG str8 (long)Math.Round((random_draw*100000000 - (long)Math.Floor((random_draw*100000000) .Value)).Value*n_str.Value+0.5) VARIABLE LONG str9 (long)Math.Round((random_draw*1000000000 - (long)Math.Floor((random_draw*100000000 0).Value)).Value*n_str.Value+0.5) VARIABLE LONG str10 (long)Math.Round((random_draw*10000000000 - (long)Math.Floor((random_draw*10000000 000).Value)).Value*n_str.Value+0.5) VARIABLE LONG str11 (long)Math.Round((random_draw*Math.Pow(10,11) - (long)Math.Floor((random_draw*Math .Pow(10,11)).Value)).Value*n_str.Value+0.5) VARIABLE LONG str12 (long)Math.Round((random_draw*Math.Pow(10,12) - (long)Math.Floor((random_draw*Math .Pow(10,12)).Value)).Value*n_str.Value+0.5) VARIABLE LONG str13 (long)Math.Round((random_draw*Math.Pow(10,13) - (long)Math.Floor((random_draw*Math .Pow(10,13)).Value)).Value*n_str.Value+0.5) VARIABLE LONG str14 (long)Math.Round((random_draw*Math.Pow(10,14) - (long)Math.Floor((random_draw*Math .Pow(10,14)).Value)).Value*n_str.Value+0.5) VARIABLE LONG str15 (long)Math.Round((random_draw*Math.Pow(10,15) - (long)Math.Floor((random_draw*Math .Pow(10,15)).Value)).Value*n_str.Value+0.5) VARIABLE LONG seg_str1 (int)str1 VARIABLE LONG seg_str2 (n_str>1) ? (((int)str2!=(int)str1) ? str2 : (!str3.InList(str2,seg_str1)) ? str3 : (!str4.InList(str3,str2,seg_str1)) ? str4 : (!str5.InList(str4,str3,str2,seg_str 1)) ? str5 : (!str6.InList(str5,str4 And 780 other symbols [1] VARIABLE LONG seg_str3 (n_str>2) ? ((!str3.InList(seg_str2,seg_str1)) ? str3 : (!str4.InList(str3,seg_str 2,seg_str1)) ? str4 : (!str5.InList(str4,str3,seg_str2,seg_str1)) ? str5 : (!str6. InList(str5,str4,str3,seg_str2,seg_ And 801 other symbols [2] VARIABLE LONG seg_str4 MODULE 2: ADMINISTRATIVE INFORMATION 5 / 79 (n_str>3) ? ((!str4.InList(seg_str3,seg_str2,seg_str1)) ? str4 : (!str5.InList(str 4,seg_str3,seg_str2,seg_str1)) ? str5 : (!str6.InList(str5,str4,seg_str3,seg_str2, seg_str1)) ? str6 : (!str7.InList( And 807 other symbols [3] VARIABLE LONG seg_str5 (n_str>4) ? ((!str5.InList(seg_str4,seg_str3,seg_str2,seg_str1)) ? str5 : (!str6.I nList(str5,str4,seg_str3,seg_str2,seg_str1)) ? str6 : (!str7.InList(str6,str5,seg_ str4,seg_str3,seg_str2,seg_str1)) ? And 793 other symbols [4] A.20 Have you already previously tried to interview all the SINGLE-SELECT seg_str_prev1 households in the structure %seg_str1% and have failed? 01 Yes E n_str>=1 && return1== 0 && replacement_hh == 1 && seg_str1>0 00 No A.20 Have you already previously tried to interview all the SINGLE-SELECT seg_str_prev2 households in the structure %seg_str2% and have failed? 01 Yes E n_str>=2 && seg_str_prev1 == 1 && return1== 0 && replacement_hh == 1 && seg_str2 > 00 No 0 A.20 Have you already previously tried to interview all the SINGLE-SELECT seg_str_prev3 households in the structure %seg_str3% and have failed? 01 Yes E n_str>=3 && seg_str_prev2 == 1 && return1== 0 && replacement_hh == 1 && seg_str3 > 00 No 0 A.20 Have you already previously tried to interview all the SINGLE-SELECT seg_str_prev4 households in the structure %seg_str4% and have failed? 01 Yes E n_str>=4 && seg_str_prev3 == 1 && return1== 0 && replacement_hh == 1 && seg_str4 > 00 No 0 A.20 Have you already previously tried to interview all the SINGLE-SELECT seg_str_prev5 households in the structure %seg_str5% and have failed? 01 Yes E n_str>=5 && seg_str_prev4 == 1 && return1== 0 && replacement_hh == 1 && seg_str5>0 00 No STATIC TEXT E (n_str == 1 && seg_str_prev1 ==1) || (n_str == 2 && seg_str_prev2 ==1) || (n_str == 3 && seg_str_prev3 ==1) || (n_str == 4 && seg_str_prev4 ==1) || (n_str >= 5 && seg_str _prev5 ==1) You have either said you have tried to interview all households in all structures in this block or have said you have already tried to interview all households in 5 structures in this block. This form will now end. Please go to complete, tab on complete and submit the interview. Please open another survey within this block and interview a replacement household within the block. VARIABLE LONG seg_str replacement_hh ==1 ? ((seg_str_prev1==0) ? seg_str1 : (seg_str_prev2==0) ? seg_str 2 : (seg_str_prev3==0) ? seg_str3 : (seg_str_prev4==0) ? seg_str4 : (seg_str_prev5 ==0) ? seg_str5 : -99) : seg_str1 STATIC TEXT E IsAnswered(n_str) & seg_str>0 && (return1 ==0 ) Please go to residential structure %seg_str% to count the number of households. A.20 How many households live in this structure? ' Please also note NUMERIC: INTEGER n_hh the number of households in the structure in the map' E IsAnswered(n_str) && seg_str_prev5!=1 && seg_str != -99 VARIABLE LONG nhh (int)n_hh VARIABLE LONG hh1 (long)Math.Round(((long)Math.Ceiling((random_draw*Math.Pow(10,15)).Value)-random_d raw*Math.Pow(10,15)).Value*n_hh.Value+0.5) VARIABLE LONG hh2 (long)Math.Round(((long)Math.Ceiling((random_draw*Math.Pow(10,14)).Value)-random_d raw*Math.Pow(10,14)).Value*n_hh.Value+0.5) VARIABLE LONG hh3 (long)Math.Round(((long)Math.Ceiling((random_draw*Math.Pow(10,13)).Value)-random_d raw*Math.Pow(10,13)).Value*n_hh.Value+0.5) VARIABLE LONG hh4 (long)Math.Round(((long)Math.Ceiling((random_draw*Math.Pow(10,12)).Value)-random_d raw*Math.Pow(10,12)).Value*n_hh.Value+0.5) VARIABLE LONG hh5 (long)Math.Round(((long)Math.Ceiling((random_draw*Math.Pow(10,11)).Value)-random_d raw*Math.Pow(10,11)).Value*n_hh.Value+0.5) VARIABLE LONG hh6 (long)Math.Round(((long)Math.Ceiling((random_draw*Math.Pow(10,10)).Value)-random_d raw*Math.Pow(10,10)).Value*n_hh.Value+0.5) VARIABLE LONG hh7 (long)Math.Round(((long)Math.Ceiling((random_draw*Math.Pow(10,9)).Value)-random_dr aw*Math.Pow(10,9)).Value*n_hh.Value+0.5) VARIABLE LONG hh8 (long)Math.Round(((long)Math.Ceiling((random_draw*Math.Pow(10,8)).Value)-random_dr aw*Math.Pow(10,8)).Value*n_hh.Value+0.5) VARIABLE LONG hh9 MODULE 2: ADMINISTRATIVE INFORMATION 6 / 79 (long)Math.Round(((long)Math.Ceiling((random_draw*Math.Pow(10,7)).Value)-random_dr aw*Math.Pow(10,7)).Value*n_hh.Value+0.5) VARIABLE LONG hh10 (long)Math.Round(((long)Math.Ceiling((random_draw*Math.Pow(10,5)).Value)-random_dr aw*Math.Pow(10,5)).Value*n_hh.Value+0.5) VARIABLE LONG hh11 (long)Math.Round(((long)Math.Ceiling((random_draw*Math.Pow(10,4)).Value)-random_dr aw*Math.Pow(10,4)).Value*n_hh.Value+0.5) VARIABLE LONG hh12 (long)Math.Round(((long)Math.Ceiling((random_draw*Math.Pow(10,3)).Value)-random_dr aw*Math.Pow(10,3)).Value*n_hh.Value+0.5) VARIABLE LONG hh13 (long)Math.Round(((long)Math.Ceiling((random_draw*Math.Pow(10,2)).Value)-random_dr aw*Math.Pow(10,2)).Value*n_hh.Value+0.5) VARIABLE LONG hh14 (long)Math.Round(((long)Math.Ceiling((random_draw*Math.Pow(10,1)).Value)-random_dr aw*Math.Pow(10,1)).Value*n_hh.Value+0.5) VARIABLE LONG hh15 (long)Math.Round(((long)Math.Ceiling(random_draw.Value)-random_draw.Value)*n_hh.Va lue+0.5) VARIABLE LONG seg_hh1 (int)hh1 VARIABLE LONG seg_hh2 (nhh>1) ? (((int)hh2!=(int)hh1) ? hh2 : (!hh3.InList(hh2,hh1)) ? hh3 : (!hh4.InLis t(hh3,hh2,hh1)) ? hh4 : (!hh5.InList(hh4,hh3,hh2,hh1)) ? hh5 : (!hh6.InList(hh5,hh 4,hh3,hh2,hh1)) ? hh6 : (!hh7.InList And 595 other symbols [5] VARIABLE LONG seg_hh3 (nhh>2) ? ((!hh3.InList(seg_hh2,seg_hh1)) ? hh3 : (!hh4.InList(hh3,seg_hh2,seg_hh1 )) ? hh4 : (!hh5.InList(hh4,hh3,seg_hh2,seg_hh1)) ? hh5 : (!hh6.InList(hh5,hh4,hh3 ,seg_hh2,hh1)) ? hh6 : (!hh7.InList And 631 other symbols [6] VARIABLE LONG seg_hh4 (nhh>3) ? ((!hh4.InList(seg_hh3,seg_hh2,seg_hh1)) ? hh4 : (!hh5.InList(hh4,seg_hh3 ,seg_hh2,seg_hh1)) ? hh5 : (!hh6.InList(hh5,hh4,seg_hh3,seg_hh2,hh1)) ? hh6 : (!hh 7.InList(hh6,hh5,hh4,seg_hh3,seg_h And 641 other symbols [7] VARIABLE LONG seg_hh5 (nhh>4) ? ((!hh5.InList(seg_hh4,seg_hh3,seg_hh2,seg_hh1)) ? hh5 : (!hh6.InList(hh5 ,seg_hh4,seg_hh3,seg_hh2,hh1)) ? hh6 : (!hh7.InList(hh6,hh5,seg_hh4,seg_hh3,seg_hh 2,hh1)) ? hh7 : (!hh8.InList(hh7,hh6 And 639 other symbols [8] A.21 Have you already tried to visit household %seg_hh1% in SINGLE-SELECT seg_hh_prev1 structure %seg_str% in this block before and had to replace? 01 Yes E nhh>=1 && return1== 0 && seg_str>0 && replacement_hh == 1 && seg_hh1 > 0 00 No A.21 Have you already tried to visit household %seg_hh2% in SINGLE-SELECT seg_hh_prev2 structure %seg_str% in this block before and had to replace? 01 Yes E nhh>=2 && seg_hh_prev1==1 && return1== 0 && seg_str>0 && replacement_hh == 1 && se 00 No g_hh2 > 0 A.21 Have you already tried to visit household %seg_hh3% in SINGLE-SELECT seg_hh_prev3 structure %seg_str% in this block before and had to replace? 01 Yes E nhh>=3 && seg_hh_prev2==1 && return1== 0 && seg_str>0 && replacement_hh == 1 && se 00 No g_hh3 > 0 A.21 Have you already tried to visit household %seg_hh4% in SINGLE-SELECT seg_hh_prev4 structure %seg_str% in this block before and had to replace? 01 Yes E nhh>=4 && seg_hh_prev3==1&& return1== 0 && seg_str>0 && replacement_hh == 1 && seg 00 No _hh4 > 0 A.21 Have you already tried to visit household %seg_hh5% in SINGLE-SELECT seg_hh_prev5 structure %seg_str% in this block before and had to replace? 01 Yes E nhh>=5 && seg_hh_prev4==1&& return1== 0 && seg_hh5>0 && replacement_hh == 1 00 No VARIABLE LONG hhid_seg1ret0 replacement_hh== 0 ? seg_hh1 : ((seg_hh_prev1==0) ? seg_hh1 : (seg_hh_prev2==0) ? seg_hh2 : (seg_hh_prev3==0) ? seg_hh3 : (seg_hh_prev4==0) ? seg_hh4 : (seg_hh_prev 5==0) ? seg_hh5 : -99) STATIC TEXT E hhid_seg1ret0>0 && (return1 ==0 ) Please proceed to household number %hhid_seg1ret0% to conduct the interview. Please note the number of the structure, the total number of households in the structure and the number of the household on the map. STATIC TEXT E return1==1 Please proceed to household number %hhid_seg1ret1% in structure %strid_seg1ret1% to conduct the interview. MODULE 2: ADMINISTRATIVE INFORMATION 7 / 79 STATIC TEXT E (n_hh == 1 && seg_hh_prev1 ==1) || (n_hh == 2 && seg_hh_prev2 ==1) || (n_hh == 3 && seg_hh_prev3 ==1) || (n_hh == 4 && seg_hh_prev4 ==1) || (n_hh >= 5 && seg_hh_prev5 ==1 ) You have either said you have tried to interview all households in this structure or have said you have already tried to interview 5 households in this structure. This form will now end. Please go to complete, tab on complete and submit the interview. Please open another survey within this block and interview a replacement household within the block. VARIABLE LONG hhid (return1==0) ? (int)hhid_seg1ret0 : (int)hhid_seg1ret1 VARIABLE LONG mod_opt IsAnswered(ea_block) ? (eb % 4) + 1 : (int)Math.Round(4*Quest.IRnd() + 0.5) VARIABLE LONG beh_treat_opt IsAnswered(ea_block) ? (eb % 2) : (int)Math.Round(2*Quest.IRnd() + 0.5) When you are finished, end the module by pressing 'Tab to record DATE: CURRENT TIME todayA_A_e current time' MODULE A: INTERVIEW AND HOUSEHOLD INFORMATION Please begin by pressing 'Tab to record current time' DATE: CURRENT TIME todayA_b STATIC TEXT This is the beginning of Module A. It collects information about whether the interview will take place with the consent of the respondent, and it collects information about the household. A.1 Enter the date manually. DATE my_date STATIC TEXT Please make sure you are at the household. A.2 Did somebody answer the door (even a child)? SINGLE-SELECT athome I Enumerator answers this question. 01 Yes 00 No A.3 Is there a knowledgeable adult present? SINGLE-SELECT adult I Enumerator answers this question. 01 Yes E athome==1 00 No STATIC TEXT E adult==1 My name is [Say your name], I am working with the World Bank, a research organization that is conducting a study on the ECONOMIC SITUATION of families in Sudan. Your household has been RANDOMLY SELECTED to take part in this study. Your PARTICIPATION IS COMPLETELY VOLUNTARY. All information you share with me is COMPLETELY CONFIDENTIAL. This means that there will be no way any information or answers you give me can be associated with your name. I also want to make it clear that there are no right or wrong answers. The survey won’t provide individual benefits to you, but the information will be used to understand socioeconomic factors that influence poverty in Sudan. The information you provide will be used to INFORM DEVELOPMENT POLICIES of local and international organizations to improve the lives of people in Sudan. To be able to answer these questions accurately, I would like to speak to the head of the household TOGETHER WITH THEIR PARTNER if possible. If they are not available, then I would like to talk to the man and/or the woman who would know most about what your household usually consumes and purchases. There are NO RISKS to taking part in this study, and your identity will remain ANONYMOUS. You can stop taking part in the survey at any time. Please take as much time as you need to decide if you’d like to participate in this survey. You may ask me any questions about the research project or the survey procedures that you’d like. I will also leave you my phone number in case you have any questions after the interview. I will use this mobile phone, which contains the questionnaire, to write down the answers you give me (show phone to the respondent). Also, if possible, it would be helpful if another man/woman [someone from the opposite gender] could be present during the interview to make sure the responses represent the whole household. STATIC TEXT E adult == 0 Inquire when will an adult be available? If an adult will be available before 5:00p.m., please schedule another visit to the household before 5:00p.m. the same day or the next day. If however, no adult will be available before 5:00p.m., please end this interview, tab on complete and submit, and replace the household with another household within the block. A.4 May I continue the interview? SINGLE-SELECT maycontinue I Is the respondent an adult and has given consent? 01 Yes E adult==1 00 No VARIABLE BOOLEAN consent adult==1 && maycontinue==1 STATIC TEXT E adult != 1 || maycontinue !=1 Please thank the respondent and leave. Continue when you are at a safe and respectful distance. STATIC TEXT E athome==0 This interview will end because nobody answered the door. Note down the household number and visit the household again. STATIC TEXT E adult==0 MODULE A: INTERVIEW AND HOUSEHOLD INFORMATION 8 / 79 This interview will end because there was no knowledgeable adult present. STATIC TEXT E maycontinue==0 This interview will end because consent was not given. Please replace this household with another household from within the block. STATIC TEXT E visit_n==3 && (athome==0 || adult==0 ) This was the third attempt to interview this household. Because it was unsuccessful, please replace this household with another household within the same block - do not try to interview it again. A.5 Are you living here because you were forced to leave your SINGLE-SELECT migr_idp original place of residence where you used to live? For example, due 01 Yes to conflict, violence, human rights violations, natural or man-made 00 No disaster (e.g., drought or famines)? When you are finished, end the module by pressing 'Tab to record DATE: CURRENT TIME todayA_e current time' MODULE B: HOUSEHOLD ROSTER STATIC TEXT This is the beginning of Module B collecting information about the household members. We will start by listing all the household members. Then, I will ask you some details about each of them, including yourself. Please begin by pressing 'Tab to record current time' DATE: CURRENT TIME todayB_b MODULE B: HOUSEHOLD ROSTER LIST OF THE HOUSEHOLD MEMBERS Please list the people living in this household who you share meals LIST hh_list with and consider to be a member of your household. VARIABLE LONG nhhm hh_list.Length STATIC TEXT Above is the list of all the members in your household (read all names out loud.) Make sure all the members are included. If you have missed any, go back and add to the list. MODULE B: HOUSEHOLD ROSTER / LIST OF THE HOUSEHOLD MEMBERS Roster: HOUSEHOLD MEMBER AGE generated by list question hh_list hhroster_age B.1 What is %rostertitle%'s age in completed years? NUMERIC: INTEGER hhm_age I If the respondent does not know for sure, please use an estimate V1 hhm_age < 120 M1 The age you have entered is greater than 120. Please correct the age. VARIABLE LONG nadults (hhm_age>14) ? 1:0 MODULE B: HOUSEHOLD ROSTER HOUSEHOLD HEAD AND HOUSEHOLD RESPONDENT B.2 Please select the main respondent. SINGLE-SELECT: LINKED hhr_id I If you are talking to two people, you have to decide who is the main respondent for this interview. Please note that you can only select respondents who are 15 years or older. F hhm_age>14 B.3 Please select the head of the household. SINGLE-SELECT: LINKED hhh_id0 I The household head must be 15 years or older. F hhm_age>14 VARIABLE LONG hhh_id0_int (int)hhh_id0.Last() B.4 How many days in the last 7 days has %hhh_id0% eaten any meal SINGLE-SELECT hhh_presence in this household? 00 0 days 01 1 day 02 2 days 03 3 days 04 4 days 05 5 days 06 6 days 07 7 days -98 Don't know Refused to respond 9 / 79 MODULE B: HOUSEHOLD ROSTER -99 Refused to respond B.6 In the absence of %hhh_id0%, which household member (who SINGLE-SELECT: LINKED hhh_id1 has been present in the household in the last 7 days) makes most of the household decisions? F hhm_age>14 && !(@rowcode==hhh_id0_int) E // more than one adult and HHH0 was absent past week nhhm>1 && hhh_presence==0 && ( hhroster_age.Any(x=> // …only if other adults left x.hhm_age>14 && // …and not t he person selected as head in h And 37 other symbols [1] VARIABLE LONG hhh_id1_int (int)hhh_id1.Last() VARIABLE STRING hhh_name // if household head is present, assign that person's name hhh_presence>0 ? hh_lis t.First(x=>x.Item1==hhh_id0.Last()).Item2 : // else if head is absent, assign the name of the person hhh_presenc And 134 other symbols [9] VARIABLE LONG hhh_id // if household head is present, assign that person's id hhh_presence>0 ? hhh_id0_ int : // else if head is absent, assign the id of the person hhh_presence==0 ? hhh _id1_int : // otherwise, assign n And 15 other symbols [10] STATIC TEXT %hhh_name% MODULE B: HOUSEHOLD ROSTER DETAILS ABOUT THE HOUSEHOLD MEMBERS STATIC TEXT Now I will ask you a few questions for all household members including yourself. MODULE B: HOUSEHOLD ROSTER / DETAILS ABOUT THE HOUSEHOLD MEMBERS Roster: HOUSEHOLD MEMBER generated by list question hh_list hhroster STATIC TEXT Let me ask you a few questions about %rostertitle% MODULE B: HOUSEHOLD ROSTER / DETAILS ABOUT THE HOUSEHOLD MEMBERS / HOUSEHOLD MEMBER BASIC INFORMATION ABOUT %ROSTERTITLE% B.7 What is the sex of %rostertitle%? SINGLE-SELECT hhm_gender 01 Male 02 Female B.8 What is the relationship of %rostertitle% to %hhh_name%? SINGLE-SELECT hhm_relation E !(@rowcode==hhh_id) 0002 Wife or husband 0003 Son or daughter (include adopted) 0004 Grandson or granddaughter 0005 Niece or nephew 0006 Father or mother 0007 Brother or sister 0008 Son or daughter in law 0009 Brother or sister in law 0010 Grandfather or grandmother 0011 Father or mother in law 0012 Other relative 0013 Servant or servant's relative 0014 Other non-relative 1000 Other (please specify) -0098 Don't know -0099 Refused to respond B.8 Please specify the relationship. TEXT hhm_relation_other E hhm_relation==1000 B.9 For how many months during the last 12 months has NUMERIC: INTEGER hhm_away_m %rostertitle% been away from this household? I The answer can be zero. V1 self<=12 M1 The number of months should be less than or equal to 12 C.21 Has %rostertitle% always lived with this household (i.e. lived SINGLE-SELECT hh_alwayslived with most of the household members and shared meals with them)? 01 Yes 00 No -98 Don't know B.11 Did %rostertitle% join this household because %rostertitle% SINGLE-SELECT migr_reason was forced to leave the usual place of residence due to conflict, 01 Yes violence, human rights violations, natural or man made disaster 00 No MODULE B: HOUSEHOLD ROSTER 10 / 79 No (e.g. drought, famine?) E hh_alwayslived==0 B.13 Does at least one of %rostertitle%'s parents live in this SINGLE-SELECT hhm_parent household? 01 Yes E hhm_relation!=3 && hhm_age<18 00 No B.14 Is at least one of %rostertitle%'s parents alive? SINGLE-SELECT hhm_parent_alive E hhm_parent == 0 01 Yes 00 No -98 Don't know -99 Refused to respond B.15 What is %rostertitle%'s present marital status? SINGLE-SELECT hhm_mar_status I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. 01 Monogamous married E @rowcode == hhh_id 02 Polygamous married 03 Separated 04 Divorced 05 Widow or widower 06 Never married (single) -98 Don't know -99 Refused to respond B.16 How old was %rostertitle% when he / she was married? SINGLE-SELECT hhm_mar_age E !(hhm_mar_status.InList(6,-98,-99)) & @rowcode==hhh_id 01 Below 10 years 02 10-12 years 03 13-15 years 04 16-18 years 05 19-21 years 06 Above 21 years -98 Don't know -99 Refused to respond B.17 Where was %rostertitle% born? SINGLE-SELECT hhh_birthplace E @rowcode==hhh_id 0001 Sudan 0002 South Sudan 0003 Kenya 0004 Uganda 0005 Ethiopia 0006 Eritrea 0007 Egypt 0008 Other Africa 0009 India 0010 Lebanon 0011 China 0012 Japan 0013 Australia 0014 Europe 0015 USA/Canada 0016 Latin America And 2 other [3] B.17 Please specify the place of birth. TEXT hhh_birthplace_other E hhh_birthplace==1000 B.20 Does %rostertitle% have any form of legal identification? SINGLE-SELECT legal_id 01 Yes 00 No -98 Don't know B.21 Which form of legal identification does %rostertitle% own? MULTI-SELECT legal_id_type Select all that apply. 0001 Birth Certificate I Please read response options to the respondent. Select all that apply. 0002 Nationality certificate E legal_id==1 0003 Identity card V1 !(self.Contains(-98)&&self.ContainsAny(-99,1,2,3,4,5,6,7,8,9,10,11,1000)) 0004 Driver’s License M1 You cannot select 'Don't know' and select an item from the list at the same time. 0005 Passport V2 !(self.Contains(-99)&&self.ContainsAny(-98,1,2,3,4,5,6,7,8,9,10,11,1000)) 0006 Resident's permit M2 You cannot select 'Refused to respond' and select an item from the list at the same time. 0007 Work permit 0008 Visa 0009 Foreign registrations 0010 Emergency Travel Permits 0011 Refugee / IDP ID Cards 1000 Other (Specify) -0098 Don't know -0099 Refused to respond B.21 Specify the form of legal identification %rostertitle% owns? TEXT legal_id_type_spec E legal_id_type.Contains(1000) MODULE B: HOUSEHOLD ROSTER / DETAILS ABOUT THE HOUSEHOLD MEMBERS / HOUSEHOLD MEMBER %ROSTERTITLE%'S HEALTH E hhm_gender==2 && (hhm_age.InRange(12,65)) MODULE B: HOUSEHOLD ROSTER 11 / 79 B.22 In the past 24 months, did %rostertitle% give birth to a child, SINGLE-SELECT births even if not born alive? 01 Yes 00 No E hhm_gender==2 && (hhm_age.InRange(12,65)) -98 Don’t know -99 Refused to respond B.23 How many times did %rostertitle% go to a health clinic when SINGLE-SELECT prenatalcare pregnant with her last child? 00 Never E births==1 01 Once 02 Two to four times 03 More than four times -98 Don’t know -99 Refused to respond B.24 Where was the last child delivered? SINGLE-SELECT delivery E births==1 0001 Hospital 0002 Maternity clinic 0003 At home 1000 Other (Please Specify) -0098 Don't know -0099 Refused to respond B.24 Please specify where was the child delivered. TEXT delivery_spec E delivery==1000 B.25 Who assisted in delivering the last child? SINGLE-SELECT deliveryassist E births==1 0001 Doctor / clinical officer 0002 Nurse / midwife 0003 Patient attendant 0004 Traditional birth attendant 0005 Relative / friend 0006 No one 1000 Other (Please specify) -0098 Don't know -0099 Refused to respond B.25 Please specify who assisted in delivery the last child. TEXT deliveryassist_spec E deliveryassist==1000 B.26 Has %rostertitle% ever given birth to a child? SINGLE-SELECT births_ever E births!=1 && hhm_gender==2 && hhm_age >= 12 01 Yes 00 No -98 Don’t know -99 Refused to respond B.27 How old was %rostertitle% when she had her first child? SINGLE-SELECT births_age E births_ever==1 || births == 1 01 Below 12 years 02 12-15 years 03 16-18 years 04 19-21 years 05 Above 21 years -98 Don't know -99 Refused to respond MODULE B: HOUSEHOLD ROSTER / DETAILS ABOUT THE HOUSEHOLD MEMBERS / HOUSEHOLD MEMBER %ROSTERTITLE%'S EDUCATION E hhm_age>5 B.28 Can %rostertitle% read in any language? SINGLE-SELECT hhm_read 01 Yes 00 No -98 Don't know B.29 Can %rostertitle% write in any language? SINGLE-SELECT hhm_write 01 Yes 00 No -98 Don't know B.30 Does %rostertitle% currently attend school or college? SINGLE-SELECT hhm_edu_current 01 Yes 00 No -98 Don't know B.31 What is the main reason that %rostertitle% is not attending SINGLE-SELECT hhm_edu_reason school or college currently? 0001 Still too young I DO NOT read out options to the respondent, select one most important reason. If unsure, ask a follow u 0002 Finished school / too old to go to school / p question. college E hhm_edu_current==0 && hhm_age <=18 0003 Illness / disability 0004 Pregnant 0005 Works 0006 Takes care of home / younger siblings 0007 Will work on land / in home, No need to study 0008 Lack of financial resources 0009 Parents do not understand how to enroll 0010 No documents to enroll in schools The school nearby is poor quality 12 / 79 MODULE B: HOUSEHOLD ROSTER 0011 The school nearby is poor quality 0012 Absence of female teachers 0013 Schools / colleges are full and not accepting new students 0014 There are no schools / colleges nearby 0015 The way to school / college is not safe because of conflict 0016 The school / college is closed due to the conflict And 5 other [4] B.31 Please specify the main reason that %rostertitle% is not TEXT hhm_edu_reason_sp attending school or college currently? E hhm_edu_reason == 1000 C.32 Was %rostertitle% attending school or college immediately SINGLE-SELECT hhm_edu_pre before displacement from the original place of residence? 01 Yes 00 No -98 Don't know B.33 Has %rostertitle% ever attended school? SINGLE-SELECT hhm_edu_ever E hhm_edu_current==0 && hhm_edu_pre == 0 01 Yes 00 No -98 Don't know B.33 How long has %rostertitle% been out of school? SINGLE-SELECT hhm_edu_gap E (hhm_edu_ever + hhm_edu_pre > 0) && hhm_edu_current == 0 && hhm_age <=18 01 One month 02 Two months 03 Three months 04 Four months 05 Five months 06 Half a year 07 More than half a year 08 1 year 09 2 years 10 3 years 11 More than 3 years -98 Don't know -99 Refused to respond B.34 How many years has %rostertitle% attended school? NUMERIC: INTEGER hhm_edu_years E hhm_edu_ever==1 || hhm_edu_current==1 || hhm_edu_pre == 1 V1 self<=30 M1 The number you have entered seems far too high. B.35 What class did %rostertitle% complete in the last completed SINGLE-SELECT hhm_edu_level year? 0010 In the first year of primary school E hhm_edu_current==1 || hhm_edu_pre == 1 || hhm_edu_ever == 1 0011 Primary 1 0012 Primary 2 0013 Primary 3 0014 Primary 4 0015 Primary 5 0016 Primary 6 0017 Primary 7 0018 Primary 8 0019 Intermediate 1 0020 Intermediate 2 0021 Intermediate 3 0022 Secondary 1 0023 Secondary 2 0024 Secondary 3 0025 Secondary 4 And 10 other [5] B.35 Please specify the education level completed in the last year. TEXT hhm_edu_level_other E hhm_edu_level==1000 MODULE B: HOUSEHOLD ROSTER / DETAILS ABOUT THE HOUSEHOLD MEMBERS / HOUSEHOLD MEMBER EMPLOYMENT E hhm_age>=15 STATIC TEXT This section asks about details of %rostertitle%'s work. If %rostertitle% is present please ask %rostertitle% in person. If %rostertitle% is not present ask the person who knows best about %rostertitle%'s work activities. B.36 Is %rostertitle% responding for himself or herself? SINGLE-SELECT hhm_resp 01 Yes 00 No B.37 In the last 7 days, did %rostertitle% work for someone else (for SINGLE-SELECT emp_7d_paid at least one hour) for wage, salary, commission, or any payment in 01 Yes kind? 00 No I This refers to work as an employee where the employee receives pay from an employer. The payment i -98 Don't know MODULE B: HOUSEHOLD ROSTER 13 / 79 s typically given regularly in the form of cash, but also includes commissions and payment in kind. Th And 138 other symbols [2] B.38 In the last 7 days, did %rostertitle% work (for at least one hour) SINGLE-SELECT emp_7d_busi on his or her own account? (This does not include farm work.) 01 Yes I This refers to people who are self-employed. They do not have an employer, but work on their own acco 00 No unt in an activity that is NOT related to farm-work. Workers falling under this category are for in -98 Don't know And 130 other symbols [3] B.39 In the last 7 days, has %rostertitle% helped (for at least one SINGLE-SELECT emp_7d_help hour) in your family business without pay? This question excludes 01 Yes working on farms. 00 No I ‘Family business’ refers to any non-farm business owned by a member of your family or your household. -98 Don't know Select ‘yes’ if this household member helps in the family business, but not in a management role. And 103 other symbols [4] B.40 In the last 7 days, has %rostertitle% worked (for at least one SINGLE-SELECT emp_7d_farm hour), on his or her own account, on a farm owned by 01 Yes himself/herself or a member of your household, raised the 00 No household's livestock, gone hunting, or fishing, or herded cattle? -98 Don't know I Own account work refers to people who are NOT employees that receive regular pay from their employ er. Examples of this category are: fishermen, raising the household’s livestock, herding, or planting And 7 other symbols [5] B.41 In the last 7 days, did %rostertitle% participate in any training SINGLE-SELECT emp_7d_appr or workshops (at least for one hour) without pay? 01 Yes 00 No -98 Don't know VARIABLE LONG emp_7d_active (emp_7d_appr==1 || emp_7d_busi==1 || emp_7d_farm==1 || emp_7d_help==1 || emp_7d_pa id==1) ? 1:0 VARIABLE LONG emp_7d_p (emp_7d_paid==1) ? 1:0 VARIABLE LONG emp_7d_a (emp_7d_appr==1) ? 5:0 VARIABLE LONG emp_7d_f (emp_7d_farm==1) ? 4:0 VARIABLE LONG emp_7d_b (emp_7d_busi==1) ? 2:0 VARIABLE LONG emp_7d_h (emp_7d_help==1) ? 3:0 VARIABLE LONG emp_7d_a_yn (emp_7d_appr==1) ? 1:0 VARIABLE LONG emp_7d_p_yn (emp_7d_paid==1) ? 1:0 VARIABLE LONG emp_7d_f_yn (emp_7d_farm==1) ? 1:0 VARIABLE LONG emp_7d_b_yn (emp_7d_busi==1) ? 1:0 VARIABLE LONG emp_7d_h_yn (emp_7d_help==1) ? 1:0 VARIABLE LONG emp_7d_count emp_7d_a_yn + emp_7d_b_yn + emp_7d_f_yn + emp_7d_h_yn + emp_7d_p_yn B.42 Even though %rostertitle% did not work in the last 7 days, does SINGLE-SELECT emp_7d_temp %rostertitle% have a job or farm business to which %rostertitle% 01 Yes will definitely return? 00 No E emp_7d_active==0 -98 Don't know B.43 What was the main reason %rostertitle% did not work in the SINGLE-SELECT emp_7d_inac last 7 days? 0000 Insecurity / conflict I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. 0001 Ill / sick E emp_7d_temp==1 0002 Pregnant 0003 In school / training 0004 Taking care of household members 0005 Holidays 0006 Paid leave 0007 Unpaid leave 0008 Strike 0009 Temporary suspension / low season 0010 Bad weather 0011 Maternity leave 1000 Other (specify) -0098 Don't know -0099 Refused to respond B.43 Please specify the main reason. TEXT emp_7d_inac_sp E emp_7d_inac==1000 MODULE B: HOUSEHOLD ROSTER 14 / 79 B.44 Even though %rostertitle% did not work in the last 7 days, did SINGLE-SELECT emp_12m_active %rostertitle% work (paid or not) in the last 12 months? 01 Yes E emp_7d_active==0 && emp_7d_temp==0 00 No -98 Don't know B.45 What was the main activity %rostertitle% did in the last 12 SINGLE-SELECT emp_12m_detail months? 01 Salaried labor or labor paid in kind (including I Select main activity if %rostertitle% pursued multiple activities. agricultural salaried job) E emp_12m_active==1 02 (Non farm) Own-account work, for example as a business owner 03 Help in any kind of non-farm business owned by the household 04 Farming or hunting or fishing at own account / help on family farm 05 Unpaid apprenticeship or training -98 Don't know -99 Refused to respond B.46 Even though %rostertitle% did not work in the last 12 months, SINGLE-SELECT emp_ever_active did %rostertitle% ever work (paid or not) before that? 01 Yes E emp_12m_active==0 00 No -98 Don't know B.47 What was %rostertitle%'s main activity? SINGLE-SELECT emp_ever_detail 01 Salaried labor or labor paid in kind (including I Select main activity if %rostertitle% pursued multiple activities. agricultural salaried job) E emp_ever_active==1 02 (Non farm) Own-account work, for example as a business owner 03 Help in any kind of non-farm business owned by the household 04 Farming or hunting or fishing at own account / help on family farm 05 Unpaid apprenticeship or training -98 Don't know -99 Refused to respond MODULE B: HOUSEHOLD ROSTER / DETAILS ABOUT THE HOUSEHOLD MEMBERS / HOUSEHOLD MEMBER / EMPLOYMENT UNEMPLOYMENT SCREENING E emp_7d_active==0 && emp_7d_temp==0 B.48 During the last 4 weeks, has %rostertitle% tried to find any kind SINGLE-SELECT hhm_job_search of job, or tried to start a business of any kind? 01 Yes 00 No -98 Don't know B.49 What is the main reason %rostertitle% did not look for any job SINGLE-SELECT hhm_job_search_no in the last 4 weeks? 0000 Insecurity / conflict I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. 0001 Ill / sick E hhm_job_search==0 0002 Disabled 0003 In school 0004 Too young / too old for work 0005 Retired 0006 Taking care of household / family 0007 Waiting for reply from employer 0008 Waiting for busy season 0009 Does not want to work 0010 Husband does not allow 0011 Does not expect to find a job 0012 Pay too low or insufficient to meet needs 1000 Other (please specify) -0098 Don't know -0099 Refused to respond B.49 Please specify the reason why %rostertitle% did not look for TEXT hhm_job_search_no_spec any job in the last 4 weeks. E hhm_job_search_no==1000 B.50 Is %rostertitle% available to start a job? If so, when? SINGLE-SELECT hhm_available E hhm_job_search==1 00 No 01 Yes, immediately 02 In less than a month 03 In more than a month -98 Don't know B.51 You have stated that %rostertitle% did not work in the past 7 SINGLE-SELECT emp_inac_sub days, does not have a job he or she will return to, and is not looking 0001 Receives a pension for work. What does %rostertitle% mainly do to subsidize his or her 0002 Receives rents needs? 0003 Receives grant/transfers I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. 0004 Lives on savings E hhm_job_search==0 0005 Lives on the products from the last harvest 0006 The family takes care of him/her 0007 Begging 0008 Selling assets 0009 Remittances 0010 NGO support 1000 Other (specify) MODULE B: HOUSEHOLD ROSTER 15 / 79 B.51 Please specify what %rostertitle% mainly does to subsidize his TEXT emp_inac_sub_spec or her needs E emp_inac_sub==1000 B.52 How many months has %rostertitle% been without a job? SINGLE-SELECT unemp_7d_dur E emp_ever_active==1 || emp_ever_active==-98 00 less than a month 01 1 month 02 2 months 03 3 months 04 4 months 05 5 months 06 6 months 07 7 months 08 8 months 09 9 months 10 10 months 11 11 months 12 12 months 13 More than a year -98 Don't know.. - -99 Refused to respond B.53 How many months has %rostertitle% been looking for work? SINGLE-SELECT hhm_job_search_dur E hhm_job_search==1 00 less than a month 01 1 month 02 2 months 03 3 months 04 4 months 05 5 months 06 6 months 07 7 months 08 8 months 09 9 months 10 10 months 11 11 months 12 12 months 13 More than a year -98 Don't know -99 Refused to respond B.54 What do you think is the main obstacle that %rostertitle% faces SINGLE-SELECT hhm_job_obs in securing a job? 0001 Lack of or inadequate skills I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. 0002 Lack of information about the local labor E hhm_job_search == 1 market 0003 Lack of family/clan or political connections 0004 Language barrier 0005 Disability / chronic illness 0006 Lack of proper documentation 0007 Ethnic / political / religious discrimination 0008 Limited or irregular work opportunities 0009 Lack of work opportunities 0010 Conflict and Insecurity in the area 1000 Other (Specify) -0098 Don't know -0099 Refused to respond B.54 Please specify the main obstacle that %rostertitle% faces in TEXT hhm_job_obs_spec securing a job. E hhm_job_obs == 1000 B.55 What is the main support %rostertitle% needs to secure SINGLE-SELECT hhm_job_support employment? 0002 Technical / Vocational skills training I Please read response options to the respondent. Select one. 0003 Continue / complete education E hhm_job_search == 1 0004 Business start up training 0005 Business / Micro-loan under favorable conditions 0006 Grant for starting a private business 0007 Securing contacts with other employers 0008 Securing proper documentation 0009 Securing land for agriculture 0010 Securing livestock / tools for agriculture 1000 Other (Specify) -0098 Don't know -0099 Refused to respond B.55 Please specify the the main support %rostertitle% needs to TEXT hhm_job_support_spec secure employment E hhm_job_support == 1000 VARIABLE LONG unemp_7d (hhm_job_search==1 && hhm_available!=0) ? 1:0 MODULE B: HOUSEHOLD ROSTER / DETAILS ABOUT THE HOUSEHOLD MEMBERS / HOUSEHOLD MEMBER / EMPLOYMENT EMPLOYMENT DETAILS E emp_7d_active==1 || emp_7d_temp==1 MODULE B: HOUSEHOLD ROSTER 16 / 79 B.56 Which was %rostertitle%'s main activity in the last 7 days? If SINGLE-SELECT emp_7d_prim %rostertitle% did not work in the past 7 days, what is the main 01 Salaried labor or labor paid in kind (including activity to which he or she will return? agricultural salaried job) I Read out all response options and after reading out, ask the respondent to select the main activity.The a 02 (Non farm) Own-account work, for example as ctivity must be one of the activities the respondent had chosen earlier. a business owner F (emp_7d_active==1 && ( @optioncode==emp_7d_a || @optioncode==emp_7d_b || @optioncode==emp 03 Help in any kind of non-farm business owned _7d_f || @optioncode==emp_7d_h || @optioncode==emp_7d_p)) || (emp_7d_temp==1 && (@optionco by the household de==1 || @optioncode= And 99 other symbols [1] 04 Farming or hunting or fishing at own account / help on family farm 05 Unpaid apprenticeship or training -98 Don't know -99 Refused to respond VARIABLE LONG emp_7d_prim_int (int)emp_7d_prim B.57 How many months per year does %rostertitle% usually work in SINGLE-SELECT emp_7d_months this activity? 01 1 month 02 2 months 03 3 months 04 4 months 05 5 months 06 6 months 07 7 months 08 8 months 09 9 months 10 10 months 11 11 months 12 12 months -98 Don't know B.58 How many hours in ONE WEEK does %rostertitle% usually NUMERIC: INTEGER emp_7d_hours spend doing this activity? V1 emp_7d_hours<168 M1 There are only 168 hours in one week. B.59 What kind of job is %rostertitle%'s main activity? SINGLE-SELECT emp_7d_prim_isic 01 Agriculture, forestry and fishing I Please read response options to the respondent. Select one. 02 Mining and quarrying 03 Manufacturing 04 Electricity, gas, steam and air 05 Water supply and waste 06 Construction 07 Wholesale and retail trade; and repair of motor vehicles 08 Transportation and storage 09 Accommodation and food service 10 Information and communication 11 Financial and insurances 12 Real estate 13 Professional, scientific, technical activities 14 Administrative and support service activities 15 Public administration and defence/security 16 Education And 7 other [6] B.60 In the last 4 weeks, did %rostertitle% want to work more or less SINGLE-SELECT uemp_want hours (in all jobs and activities), or was %rostertitle% happy with the 00 Satisfied with number of hours number of hours worked? 01 Wanted to work more hours 02 Wanted to work less hours -98 Don't know -99 Refused to respond B.61 During the last 12 months, did %rostertitle% do any additional SINGLE-SELECT emp_12m_additional_yn activities other than the activities %rostertitle% did in the last 7 01 Yes days? 00 No E emp_7d_active==1 || emp_7d_temp==1 -98 Don't know -99 Refused to respond B.62 What kind of additional activities did %rostertitle% do? MULTI-SELECT emp_12m_additional I Please read response options to the respondent. Select one. 01 Salaried labor or labor paid in kind (including E emp_12m_additional_yn==1 agricultural salaried job) 02 (Non farm) Own-account work, for example as a business owner 03 Help in any kind of non-farm business owned by the household 04 Farming or hunting or fishing at own account / help on family farm 05 Unpaid apprenticeship or training -98 Don't know -99 Refused to respond MODULE B: HOUSEHOLD ROSTER / DETAILS ABOUT THE HOUSEHOLD MEMBERS / HOUSEHOLD MEMBER / EMPLOYMENT EMPLOYMENT BEFORE DISPLACEMENT E hhm_age>=15 & emp_ever_active != 0 MODULE B: HOUSEHOLD ROSTER 17 / 79 B.63 Did %rostertitle% work before displacement from the original SINGLE-SELECT emp_prev_d place of residence? 01 Yes 00 No -98 Don't know -99 Refused to respond STATIC TEXT E emp_prev_d==1 Now I will like to ask some questions about %rostertitle%'s employment before displacement B.64 What was %rostertitle%'s main activity before displacement? SINGLE-SELECT emp_prev 01 Salaried labor or labor paid in kind (including I Please read response options to the respondent. Select one. agricultural salaried job) E emp_prev_d==1 02 (Non farm) Own-account work, for example as a business owner 03 Help in any kind of non-farm business owned by the household 04 Farming or hunting or fishing at own account/ help on family farm 05 Unpaid apprenticeship or training -98 Don't know -99 Refused to respond B.65 Without displacement, would %rostertitle% have changed the SINGLE-SELECT emp_prev_conflict main activity anyway? 01 Yes E emp_prev != emp_7d_prim && emp_prev_d == 1 00 No B.66 How many months per year did %rostertitle% usually work in SINGLE-SELECT emp_prev_months this main activity before displacement? 01 1 month E emp_prev_d ==1 02 2 months 03 3 months 04 4 months 05 5 months 06 6 months 07 7 months 08 8 months 09 9 months 10 10 months 11 11 months 12 12 months -98 Don't know B.67 How many hours in ONE WEEK did %rostertitle% usually spend NUMERIC: INTEGER emp_prev_hours doing this activity before displacement? E emp_prev_d ==1 V1 emp_prev_hours<168 M1 There are only 168 hours in one week. B.68 In comparison to the wage/profit or income %rostertitle% SINGLE-SELECT earning_prev earned per WEEK before displacement, %rostertitle%'s current 01 Much higher earnings per WEEK are 02 A little higher E emp_prev_d == 1 03 The same 04 A little lower 05 Much lower B.69 What kind of job was %rostertitle%'s main activity before SINGLE-SELECT emp_7d_prim_isic_prev displacement? 01 Agriculture, forestry and fishing I Please read response options to the respondent. Select one. 02 Mining and quarrying E emp_prev_d==1 03 Manufacturing 04 Electricity, gas, steam and air 05 Water supply and waste 06 Construction 07 Wholesale and retail trade; and repair of motor vehicles 08 Transportation and storage 09 Accommodation and food service 10 Information and communication 11 Financial and insurances 12 Real estate 13 Professional, scientific, technical activities 14 Administrative and support service activities 15 Public administration and defence/security 16 Education And 7 other [7] B.69 Once displacement ends, will %rostertitle% want to resume the SINGLE-SELECT resum_empl_want activity %rostertitle% was engaged in before displacement? 01 Yes E emp_prev != emp_7d_prim && migr_idp==1 && emp_prev_d == 1 00 No -98 Don't know B.70 Will %rostertitle% be able to resume this activity after SINGLE-SELECT resum_empl displacement ends? 01 Yes E emp_prev != emp_7d_prim && migr_idp==1 && emp_prev_d == 1 00 No -98 Don't know B.71 What is the main reason that %rostertitle% might not be able to SINGLE-SELECT resum_empl_reason resume this activity after displacement ends? 0001 Lost job/contract MODULE B: HOUSEHOLD ROSTER Land captured by other residents / armed 18 / 79 I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. 0002 Land captured by other residents / armed E resum_empl==0 forces 0003 Work tools lost /stolen/captured /damaged 0004 Work tools and productive assets sold 0005 Lack of funds 0006 Lack of economic opportunities in the area 0007 Ethnic / religious discrimination 0008 Incapable (Too old/sick) 1000 Other (Specify) -0099 Refused to respond B.71 Please specify the main reason why %rostertitle% will not be TEXT resum_empl_reason_spec able to resume this activity after displacement ends. E resum_empl_reason== 1000 MODULE B: HOUSEHOLD ROSTER LEAVERS' ROSTER B.72 Are there any members who would normally be living in your SINGLE-SELECT hhm_separated household but who have been separated from the household due 01 Yes to conflict, violence, human rights violations, natural or man-made 00 No disaster (for example, drought or famine)? -98 Don't know -99 Refused to respond Please list those members LIST hh_list_separated E hhm_separated==1 MODULE B: HOUSEHOLD ROSTER / LEAVERS' ROSTER Roster: SEPARATED MEMBERS generated by list question hh_list_separated hh_roster_separated B.73 What is %rostertitle%'s age in completed years? NUMERIC: INTEGER hhm_age_sep B.74 What is the sex of %rostertitle%? SINGLE-SELECT hhm_gender_sep 01 Male 02 Female B.75 What is the relationship of %rostertitle% to %hhh_name% (the SINGLE-SELECT hhm_relation_sep head of the household)? 02 Wife or husband 03 Son or daughter (include adopted) 04 Grandson or granddaughter 05 Niece or nephew 06 Father or mother 07 Brother or sister 08 Son or daughter in law 09 Brother or sister in law 10 Grandfather or grandmother 11 Father or mother in law 12 Other relative 13 Servant or servant's relative 14 Other non-relative -98 Don't know -99 Refused to respond B.76 What is the reason %rostertitle% has been separated from the SINGLE-SELECT hhm_sep_reason household? 0001 Deceased 0002 Recruited by or joined armed forces 0003 Stayed behind at original place of residence 0004 Displaced to another location 1000 Other (Please Specify) B.76 Please specify the reason %rostertitle% was separated from TEXT hhm_sep_reason_spec the household. E hhm_sep_reason == 1000 B.77 Are you or the other household members able to contact SINGLE-SELECT hhm_contact %rostertitle%? 01 Yes E hhm_sep_reason != 1 00 No B.78 Do you or the household members have access to family SINGLE-SELECT hhm_unite reunification services provided by UN organizations or NGOs? 01 Yes E hhm_separated == 1 && ((long)hh_roster_separated.Count(x=>x.hhm_contact==0))>0 00 No -98 Don't know -99 Refused to respond When you are finished, end the module by pressing 'Tab to record DATE: CURRENT TIME todayB_e current time' MODULE C: HOUSEHOLD CHARACTERISTICS MODULE C: HOUSEHOLD CHARACTERISTICS 19 / 79 Please begin by pressing 'Tab to record current time' DATE: CURRENT TIME todayC_b STATIC TEXT This modules covers land tenure, the physical characteristics of the home, walking distance to water/school/clinic, and hunger coping strategies. MODULE C: HOUSEHOLD CHARACTERISTICS CHARACTERISTICS OF CURRENT DWELLING STATIC TEXT I will now ask some questions about your current dwelling. C.1 What kind of structure does this household live in? SINGLE-SELECT housingtype 01 Tent (including tarpaulin and canvas tents) 02 Dwelling of straw mats 03 Tukul/gottiya - sticks 04 Tukul/gottiya - mud 05 Flat or apartment 06 Villa 07 House of one floor - mud 08 House of one floor - brick/concrete 09 House constructed of wood 10 Multi-storey House 11 Incomplete structure 12 Garage, shop, workshop, or other structure not intended for habitation -98 Don't know -99 Refused to respond C.2 How many rooms does this household have in total? NUMERIC: INTEGER rooms_n V1 self <= 30 M1 The number of rooms is greater than 30. Please correct this. C.3 How many rooms are used for sleeping? NUMERIC: INTEGER slrooms_n E rooms_n>1 V1 self<=rooms_n M1 The number of rooms used for sleeping should be less than the total number of rooms. C.4 What is the main tenure status of this dwelling? SINGLE-SELECT tenure I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. 0001 Owned 0002 Rented 0003 Housing provided as part of work 0004 Space provided by relatives / friends / host family 0005 Temporary shelter arranged by UN/INGOs 0006 Squatting on community owned land 0007 Squatting on publicly owned land 0008 Squatting on privately owned land 1000 Other (please specify) -0098 Don't know -0099 Refused to respond C.4 Please specify the tenure status TEXT tenure_spec E tenure==1000 C.5 How many years have you owned this dwelling? SINGLE-SELECT land_own_dur_n_main E tenure==1 01 Less than 1 year 02 1 to 3 years 03 4 to 10 years 04 10 to 20 years 05 Many generations C.6 Are you or any member of the household the recognized legal SINGLE-SELECT land_legal_main owner of this dwelling? 01 Yes E tenure == 1 00 No -98 Don't know -99 Refused to respond C.7 What kind of legal recognition do you have for this dwelling? SINGLE-SELECT land_legal_main_d 01 Registered land certification I Please read response options to the respondent. Select one. E land_legal_main==1 02 Decision by local administration 03 By customary law -98 Don't know -99 Refused to respond C.10 What is the main source of drinking water for members of your SINGLE-SELECT water_home household? 0001 Piped water into dwelling I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. 0002 Piped water to yard/plot 0003 Public tap/standpipe 0004 Tubewell/borehole 0005 Protected dug well 0006 Unprotected dug well Protected spring 20 / 79 MODULE C: HOUSEHOLD CHARACTERISTICS 0007 Protected spring 0008 Unprotected spring 0009 Rainwater collection 0010 Bottled water 0011 Cart with small tank/drum 0012 Tanker-truck 0013 Surface water (river, dam, lake,pond, stream, canal,irrigation channels) 1000 Other (specify) -0098 Don't know -0099 Refused to respond C.10 Please specify the main source of drinking water for members TEXT water_home_ot of your household. E water_home==1000 C.10A What is the main source of water used by your household for SINGLE-SELECT water_home2 other purposes, such as cooking and hand washing? 0001 Piped water into dwelling E water_home==10 0002 Piped water to yard/plot 0003 Public tap/standpipe 0004 Tubewell/borehole 0005 Protected dug well 0006 Unprotected dug well 0007 Protected spring 0008 Unprotected spring 0009 Rainwater collection 0011 Cart with small tank/drum 0012 Tanker-truck 0013 Surface water (river, dam, lake, pond, stream, canal, irrigation channels) 1000 Other (specify) -0098 Don't know -0099 Refused to respond C.10A Please specify the main source of water used by your TEXT cook_source_ot household for other purposes, such as cooking and hand washing? E water_home2==1000 STATIC TEXT E !water_home.InList(1) && !water_home2.InList(1) How long, does it usually take to walk (one way) to this main water source from your dwelling? C.11 Number of days NUMERIC: INTEGER twater_d I Write 0 if the time taken is less than a day. Record the time in hours and minutes in the following questio ns. E !water_home.InList(1,2) && !water_home2.InList(1,2) C.11 Number of hours NUMERIC: INTEGER twater_h I Write 0 if the time taken is less than a day. Record the time in hours and minutes in the following questio ns. E !water_home.InList(1,2) && !water_home2.InList(1,2) V1 self<24 M1 If it takes more than 24 hours to make the trip please measure the trip as a combination of days and ho urs (e.g. a trip of 25 hours is equal to 1 day and 1 hour) C.11 Number of minutes NUMERIC: INTEGER twater_m E !water_home.InList(1,2) && !water_home2.InList(1,2) V1 self<60 M1 If the time taken is more than 60 minutes, please enter it as a combination of hours and minutes (e.g. 9 0 minutes is equal to 1 hour 30 minutes) C.12 Who usually goes to this source to fetch the water for your SINGLE-SELECT who_fetch household? 01 Adult woman I Please read response options to the respondent. Select one. 02 Adult man E !water_home.InList(1) && !water_home2.InList(1) 03 Female child (under 15 years) 04 Male child (under 15 years) -98 Don't know -99 Refused to respond C.13 Do you treat your water in any way to make it safer to drink? SINGLE-SELECT treat_water 01 Yes 02 No -98 Don't know -99 Refused to respond C.14 What do you usually do to the water to make it safer to drink? MULTI-SELECT method_treat Select all that apply. 0001 Boil I Do not read response options to the respondent. Select all that apply. If unsure, ask a follow up question 0002 Add bleach/chlorine . 0003 Strain it through a cloth E treat_water==1 0004 Use a water filter (ceramic, sand, composite, V1 !self.Contains(-98)&&self.ContainsAny(-98,1,2,3,4,5,6,7,8) etc.) M1 Sorry, you can not select don't know and anything else 0005 Solar disinfection V2 !self.Contains(-99)&&self.ContainsAny(-98,1,2,3,4,5,6,7,8) 0006 Let it stand and settle M2 Sorry, you can not select refused to respond and anything else 1000 Other (specify) -0098 Don't know -0099 Refused to respond MODULE C: HOUSEHOLD CHARACTERISTICS 21 / 79 C.14 Please specify what do you usually do to the water to make it TEXT method_treat_ot safer to drink. E method_treat.Contains(1000) C.15 What is the main source of lighting for this household? SINGLE-SELECT light I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. 01 National Grid connection 02 Local Mini Grid 03 Diesel Generator (private electricity) 04 Solar Home System 05 Solar Lantern/Lighting System 06 Rechargeable Battery (e.g., car battery) 07 Torch 08 Gas 09 Paraffin lantern 10 Paraffin lamp 11 Firewood 12 Grass 13 Candle wax 14 Biogas 15 No lighting -98 Don't know And 1 other [8] C.16 Please specify the source the source of lighting for this TEXT light_sp household. E light==1000 VARIABLE STRING electricity_str (light==1) ? "National Grid Connection" : (light==2) ? "Local Mini Grid" : (light= =3) ? "Diesel Generator" : (light==4) ? "Solar Home System" : (light==5) ? "Solar Lantern/Lighting System" : (light==6 And 43 other symbols [11] C.17 Can you charge mobile phones with %electricity_str%? SINGLE-SELECT electricity_phone E light.InList(1,2,3,4,5,6) 01 Yes 00 No -98 Don't know C.18 How many hours of electricity are available each day from NUMERIC: INTEGER electricity_hours %electricity_str%? E light.InList(1,2,3,4,5,6) V1 self<=24 M1 Please select a number less than 24. C.19 What is the main source of energy for cooking in this SINGLE-SELECT cook household? 0000 No cooking I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. 0001 Wood 0002 Charcoal 0003 Gas 0004 Electricity 0005 Paraffin/ Kerosene 0006 Grass 0007 Biogas 0008 Coal/lignite 0009 Solar 0010 Animal Waste/Dung 0011 Crop Residue/Plant Biomass 0012 Saw Dust 0013 Coal Briquette 0014 Biomass Briquette 0015 Processed biomass (pellets)/ woodchips And 7 other [9] VARIABLE STRING cook_str (cook==1) ? "Wood" : (cook==2) ? "Charcoal" : (cook==3) ? "Gas" : (cook==4) ? "Ele ctricity" : (cook==5) ? "Paraffin / Kerosene" : (cook==6) ? "Grass" : (cook==7) ? "Biogas" : (cook==8) ? "Coal/lignite And 395 other symbols [12] C.20 What kind of toilet facility do members of your household SINGLE-SELECT toilet usually use? 0001 Flush/pour flush to: piped sewer system I If “flush” or “pour flush” probe further. Instruction: DO NOT read options to the respondent, select one. If 0002 Flush/pour flush to: septic tank unsure, ask a follow up question. 0003 Flush/pour flush to: pit latrine 0004 Flush/pour flush to: elsewhere 0005 Flush/pour flush to: unknown place/not sure/DK where 0006 Ventilated improved pit latrine (VIP) 0007 Pit latrine with slab 0008 Pit latrine without slab/open pit 0009 Composting toilet 0010 Bucket 0011 Hanging toilet/hanging latrine 0012 No facilities or bush or field 1000 Other (specify) -0098 Don't know -0099 Refused to respond MODULE C: HOUSEHOLD CHARACTERISTICS 22 / 79 C.20 Please specify the kind of toilet facility the members of your TEXT toilet_ot household usually use. E toilet==1000 C.21 Do you share the toilet facility with other households? SINGLE-SELECT share_facility E !toilet.InList(12,-98,-99) 01 Yes 02 No C.22 How many households use this toilet facility? SINGLE-SELECT share_num E share_facility==1 01 1 household 02 2 households 03 3 households 04 4 households 05 5 households 06 6 households 07 7 households 08 8 households 09 9 households 10 10 or more households -98 Don't know -99 Refused to respond C.23 What is the main method of solid waste disposal for this SINGLE-SELECT waste household? 0001 Skip bin open 0002 Skip bin closed 0003 Pit 0004 Heap 0005 Burning 0006 Dumping in the nearest waterway 1000 Other (please specify) -0098 Don't know -0099 Refused to respond C.23 Please specify the main method of solid waste disposal. TEXT waste_spec E waste==1000 STATIC TEXT How long does it usually take to walk (one way) to the closest food market from this dwelling? C.24 Number of days NUMERIC: INTEGER tmarket_d I Write 0 if the time taken is less than a day. Record the time in hours and minutes in the following questio ns. C.24 Number of hours NUMERIC: INTEGER tmarket_h I Write 0 if the time taken is less than an hour. Record the minutes in the following question. V1 self<24 M1 If it takes more than 24 hours to make the trip please measure the trip as a combination of days and ho urs (e.g. a trip of 25 hours is equal to 1 day and 1 hour) C.24 Number of minutes NUMERIC: INTEGER tmarket_m V1 self<60 M1 If the time taken is more than 60 minutes, please enter it as a combination of hours and minutes (e.g. 9 0 minutes is equal to 1 hour 30 minutes) STATIC TEXT How long does it usually take to walk (one way) to the closest school (for primary education) from this dwelling? C.25 Number of days NUMERIC: INTEGER tedu_d I Write 0 if the time taken is less than a day. Record the time in hours and minutes in the following questio ns. C.25 Number of hours NUMERIC: INTEGER tedu_h I Write 0 if the time taken is less than an hour. Record the minutes in the following question. V1 self<24 M1 If it takes more than 24 hours to make the trip please measure the trip as a combination of days and ho urs (e.g. a trip of 25 hours is equal to 1 day and 1 hour) C.25 Number of minutes NUMERIC: INTEGER tedu_m V1 self<60 M1 If the time taken is more than 60 minutes, please enter it as a combination of hours and minutes (e.g. 9 0 minutes is equal to 1 hour 30 minutes) STATIC TEXT How long does it usually take to walk (one way) to the nearest health center from this dwelling? C.26 Number of days NUMERIC: INTEGER thealth_d I Write 0 if the time taken is less than a day. Record the time in hours and minutes in the following questio ns. C.26 Number of hours NUMERIC: INTEGER thealth_h I Write 0 if the time taken is less than an hour. Record the minutes in the following question. MODULE C: HOUSEHOLD CHARACTERISTICS 23 / 79 V1 self<24 M1 If it takes more than 24 hours to make the trip please measure the trip as a combination of days and ho urs (e.g. a trip of 25 hours is equal to 1 day and 1 hour) C.26 Number of minutes NUMERIC: INTEGER thealth_m V1 self<60 M1 If the time taken is more than 60 minutes, please enter it as a combination of hours and minutes (e.g. 9 0 minutes is equal to 1 hour 30 minutes) C.27 Do you have cell phone reception near your household? SINGLE-SELECT phone_network 01 Yes 00 No -98 Don't know -99 Refused to respond C.28 Does anyone in the household connect to the internet from any SINGLE-SELECT acc_int location? 01 Yes 00 No -98 Don't Know -99 Refused to Respond C.29 Does your household have access to an all-season road, e.g. to SINGLE-SELECT acc_road go to the market or to travel to other parts of the country? 01 Yes 00 No -98 Don't know -99 Refused to respond MODULE C: HOUSEHOLD CHARACTERISTICS DWELLING BEFORE DISPLACEMENT E migr_idp== 1 STATIC TEXT Now I will ask you some questions about the dwelling you lived in before displacement from your original place of residence. C.30 What kind of structure did this household live in before SINGLE-SELECT housingtype_disp displacement? 01 Tent I Please read response options to the respondent. Select one. 03 Tukul/gottiya - sticks 04 Tukul/gottiya - mud 05 Flat or apartment 06 Villa 07 House of one floor - mud 08 House of one floor - brick/concrete 09 House constructed of wood 10 Multi-storey House 11 Incomplete structure -98 Don't know -99 Refused to respond C.31 How many rooms did this household have in total in the NUMERIC: INTEGER rooms_n_disp dwelling the household lived in before displacement? C.32 How many rooms of the dwelling before displacement were NUMERIC: INTEGER slrooms_n_disp used for sleeping? E rooms_n_disp>1 V1 self<=rooms_n_disp M1 The rooms used for sleeping should be equal to or less than the total number of rooms. C.33 What was the main tenure status of the dwelling the household SINGLE-SELECT tenure_disp lived in before displacement? 0001 Owned 0002 Rented 0003 Housing provided as part of work 0005 Space provided by relatives/ friends 0006 Temporary shelter arranged by UN/INGOs 0007 Squatting on community owned land 0008 Squatting on public owned land 0009 Squatting on privately owned land 1000 Other (please specify) -0098 Don't know -0099 Refused to respond C.33 Please specify the tenure status TEXT tenure_disp_spec E tenure_disp==1000 C.34 How many years have you owned the dwelling you lived on SINGLE-SELECT land_own_dur_n_main_disp before displacement? 01 Less than 1 year E tenure_disp==1 02 1 to 3 years 03 4 to 10 years 04 10 to 20 years 05 Many generations -98 Don't know -99 Refused to respond C.35 Are you or any member of the household the recognized legal SINGLE-SELECT land_legal_main_disp owner of the dwelling you lived in before displacement? 01 Yes No 24 / 79 MODULE C: HOUSEHOLD CHARACTERISTICS E tenure_disp== 1 04 No -98 Don't know -99 Refused to respond C.36 What kind of legal recognition do you have for this dwelling? SINGLE-SELECT land_legal_main_disp_d I Please read response options to the respondent. Select one. 01 Registered land certification E land_legal_main_disp==1 02 Decision by local administration 03 By customary law -98 Don't know -99 Refused to respond C.37 How is the dwelling you lived in before displacement being SINGLE-SELECT land_use_disp used currently? 0001 Guarded/Used by a household member / relative I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. 0002 Rented out 0003 Lent rent free 0004 Sold 0005 Abandoned due to conflict 0006 Damaged / destroyed / burned in conflict 0007 Taken over / captured by others 1000 Other (specify) -0098 Don't know -0099 Refused to respond C.37 Please specify how it is currently used. TEXT land_use_disp_s E land_use_disp==1000 C.38 Did you or any member of your household take any legal SINGLE-SELECT land_res_disp recourse to get back the dwelling you lived in before displacement? 01 Yes E land_use_disp == 7 00 No -98 Don't know -99 Refused to respond C.39 Who did you or the household members seek help from to SINGLE-SELECT land_help_disp obtain back the dwelling you lived in before displacement? 0001 Community leaders I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. 0002 Customary courts E land_res_disp == 1 0003 County courts 0004 High courts 0005 Police 0006 Military 1000 Other (Specify) -0098 Don't know -0099 Refused to respond C.39 Please specify who did you or the household members seek TEXT land_help_disp_spec help from to obtain the dwelling you lived in before displacement back? E land_help_disp == 1000 C.40 Why did you or the household members not seek help to SINGLE-SELECT land_res_reason_disp obtain back the dwelling you lived in before displacement? 0001 Lost documents I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. 0002 Documents have been damaged in the conflict E land_res_disp == 0 0003 Do not have an official title 0004 Do not have access to community leaders 0005 Do not have access to formal courts 0006 Don't trust authorities 0007 Do not know how to get help/who to contact 1000 Other (Specify) -0098 Don't know -0099 Refused to respond C.40 Please specify why did you or the household members not seek TEXT land_res_reason_disp_spec help to obtain back the dwelling you lived in before displacement? E land_res_reason_disp == 1000 C.41 Do you think you will be able to get the dwelling back or recieve SINGLE-SELECT land_back_disp any compensation for the lost dwelling? 01 Yes E land_use_disp.InList(5,7) 00 No -98 Don't know -99 Refused to respond STATIC TEXT Now I will ask you some more questions about the characteristics of the dwelling you lived in before displacement. C.42 What was the main source of drinking water inside the dwelling SINGLE-SELECT water_home_disp you lived in before displacement? 0001 Piped water into dwelling E migr_idp==1 0002 Piped water to yard/plot 0003 Public tap/standpipe 0004 Tubewell/borehole 0005 Protected dug well 0006 Unprotected dug well 0007 Protected spring 0008 Unprotected spring 0009 Rainwater collection 0010 Bottled water 0011 Cart with small tank/drum Tanker-truck 25 / 79 MODULE C: HOUSEHOLD CHARACTERISTICS 0012 Tanker-truck 0013 Surface water (river, dam, lake,pond, stream, canal,irrigation channels) 1000 Other (specify) -0098 Don't know -0099 Refused to respond C.42 Please specify other TEXT water_home_ot_disp E water_home_disp==1000 && migr_idp==1 C.43 What is the main source of water used by your household for SINGLE-SELECT water_home2_disp other purposes, such as cooking and hand washing? 0001 Piped water into dwelling E water_home_disp==10 0002 Piped water to yard/plot 0003 Public tap/standpipe 0004 Tubewell/borehole 0005 Protected dug well 0006 Unprotected dug well 0007 Protected spring 0008 Unprotected spring 0009 Rainwater collection 0011 Cart with small tank/drum 0012 Tanker-truck 0013 Surface water (river, dam, lake, pond, stream, canal, irrigation channels) 1000 Other (specify) -0098 Don't know -0099 Refused to respond STATIC TEXT E !water_home_disp.InList(1,2) && !water_home2_disp.InList(1,2) How long, did it usually take to walk (one way) to this main water source from your dwelling where you lived in before displacement? C.44 Number of days NUMERIC: INTEGER twater_d_disp I Write 0 if the time taken is less than a day. Record the time in hours and minutes in the following questio ns. E !water_home_disp.InList(1,2) && !water_home2_disp.InList(1,2) C.44 Number of hours NUMERIC: INTEGER twater_h_disp I Write 0 if the time taken is less than an hour. Record the time in minutes in the following questions. E !water_home_disp.InList(1,2) && !water_home2_disp.InList(1,2) V1 self<24 M1 If it takes more than 24 hours to make the trip please measure the trip as a combination of days and ho urs (e.g. a trip of 25 hours is equal to 1 day and 1 hour) C.44 Number of minutes NUMERIC: INTEGER twater_m_disp E !water_home_disp.InList(1,2) && !water_home2_disp.InList(1,2) V1 self<60 M1 If the time taken is more than 60 minutes, please enter it as a combination of hours and minutes (e.g. 9 0 minutes is equal to 1 hour 30 minutes) STATIC TEXT How long did it usually take to walk (one way) to the closest food market from the dwelling you lived in before displacement? C.45 Number of days NUMERIC: INTEGER tmarket_d_disp I Write 0 if the time taken is less than a day. Record the time in hours and minutes in the following questio ns. C.45 Number of hours NUMERIC: INTEGER tmarket_h_disp I Write 0 if the time taken is less than an hour. Record the minutes in the following question. V1 self<24 M1 If it takes more than 24 hours to make the trip please measure the trip as a combination of days and ho urs (e.g. a trip of 25 hours is equal to 1 day and 1 hour) C.45 Number of minutes NUMERIC: INTEGER tmarket_m_disp V1 self<60 M1 If the time taken is more than 60 minutes, please enter it as a combination of hours and minutes (e.g. 9 0 minutes is equal to 1 hour 30 minutes) STATIC TEXT How long did it usually take to walk (one way) to the closest school (for primary education) from the dwelling you lived in before displacement? C.46 Number of days NUMERIC: INTEGER tedu_d_disp I Write 0 if the time taken is less than a day. Record the time in hours and minutes in the following questio ns. C.46 Number of hours NUMERIC: INTEGER tedu_h_disp I Write 0 if the time taken is less than an hour. Record the minutes in the following question. V1 self<24 M1 If it takes more than 24 hours to make the trip please measure the trip as a combination of days and ho urs (e.g. a trip of 25 hours is equal to 1 day and 1 hour) C.46 Number of minutes NUMERIC: INTEGER tedu_m_disp MODULE C: HOUSEHOLD CHARACTERISTICS 26 / 79 STATIC TEXT How long did it usually take to walk (one way) to the nearest health center from the dwelling you lived in before displacement? C.47 Number of days NUMERIC: INTEGER thealth_d_disp I Write 0 if the time taken is less than a day. Record the time in hours and minutes in the following questio ns. C.47 Number of hours NUMERIC: INTEGER thealth_h_disp I Write 0 if the time taken is less than an hour. Record the minutes in the following question. V1 self<24 M1 If it takes more than 24 hours to make the trip please measure the trip as a combination of days and ho urs (e.g. a trip of 25 hours is equal to 1 day and 1 hour) C.47 Number of minutes NUMERIC: INTEGER thealth_m_disp V1 self<60 M1 If the time taken is more than 60 minutes, please enter it as a combination of hours and minutes (e.g. 9 0 minutes is equal to 1 hour 30 minutes) C.48 What was the main source of lighting for the household in the SINGLE-SELECT light_disp dwelling you lived in before displacement? 01 National Grid connection I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. 02 Local Mini Grid E migr_idp==1 03 Diesel Generator (private electricity) 04 Solar Home System 05 Solar Lantern/Lighting System 06 Rechargeable Battery (e.g., car battery) 07 Torch 08 Gas 09 Paraffin lantern 10 Paraffin lamp 11 Firewood 12 Grass 13 Candle wax 14 Biogas 15 No lighting -98 Don't know And 1 other [10] C.49 What was the main type of toilet facility used by this household SINGLE-SELECT toilet_disp before displacement? 0001 Flush/pour flush to: piped sewer system E migr_idp == 1 0002 Flush/pour flush to: septic tank 0003 Flush/pour flush to: pit latrine 0004 Flush/pour flush to: elsewhere 0005 Flush/pour flush to: unknown place/not sure/DK where 0006 Ventilated improved pit latrine (VIP) 0007 Pit latrine with slab 0008 Pit latrine without slab/open pit 0009 Composting toilet 0010 Bucket 0011 Hanging toilet/hanging latrine 0012 No facilities or bush or field 1000 Other (specify) -0098 Don't know -0099 Refused to respond MODULE C: HOUSEHOLD CHARACTERISTICS AGRICULTURAL LAND C.50 Do you or your household members have access to any plot of SINGLE-SELECT land_access_yn land used for agriculture? 01 Yes 00 No -98 Don't know -99 Refused to respond C.51 What is the combined area of agricultural land the household NUMERIC: INTEGER land_access has access to? E land_access_yn == 1 C.52 What is the unit for the area of agricultural land specified SINGLE-SELECT land_unit above? 0001 Feddan E land_access_yn == 1 0002 Kirat 0003 Square meters 0004 Hectare 0005 Acre 1000 Other (please specify) C.52 Please specify the unit. TEXT land_unit_spec E land_unit == 1000 C.53 What is the tenure status of this land? If your and the SINGLE-SELECT land_tenure household members have access to multiple plots of land, what is 0001 Owned the tenure status of the largest portion of the land? 0002 Rented E land_access_yn == 1 0003 Land provided for free by relatives/friends Community land 27 / 79 MODULE C: HOUSEHOLD CHARACTERISTICS 0004 Community land 0005 Land provided by UN/NGOs 1000 Other (please specify) -0098 Don't know -0099 Refused to respond C.53 Please specify the tenure status of this land. If your and the TEXT land_tenure_spec household members have access to multiple plots of land, please specify the tenure status of the largest portion of the land? E land_tenure == 1000 C.54 How many years have you or the household members owned SINGLE-SELECT land_own_dur_n this land? 01 Less than 1 year E land_tenure == 1 02 1 to 3 years 03 4 to 10 years 04 10 to 20 years 05 Many generations C.55 Are you or any member of the household the recognized legal SINGLE-SELECT land_legal owner of this land? 01 Yes E land_tenure == 1 00 No -98 Don't know -99 Refused to respond C.56 What kind of legal recognition do you have for this land? SINGLE-SELECT land_legal_d I Please read response options to the respondent. Select one. 01 Registered land certification E land_legal == 1 02 Decision by local administration 03 By customary law -98 Don't know -99 Refused to respond C.57 Did your or the household members' access to agricultural SINGLE-SELECT land_access_change land change since displacement from your original place of 01 Yes residence? 00 No -98 Don't know -99 Refused to respond C.58 Did you or the household members have access to any plots of SINGLE-SELECT land_access_yn_disp land used for agriculture before displacement from your original 01 Yes place of residence? 00 No -98 Don't know -99 Refused to respond C.59 What was the combined area of agricultural land you and the NUMERIC: INTEGER land_access_disp household members had access to before displacement from the original place of residence? E land_access_yn_disp == 1 C.60 What is the unit for the area of agricultural land specified SINGLE-SELECT land_unit_disp above? 0001 Feddan E land_access_yn_disp == 1 0002 Kirat 0003 Square meters 0004 Hectare 0005 Acre 1000 Other (please specify) C.60 Please specify the unit. TEXT land_unit_spec_disp E land_unit_disp == 1000 C.61 What was the tenure status of this land? If you and the SINGLE-SELECT land_tenure_disp household members had access to multiple plots of land, what was 0001 Owned the tenure status of the largest portion of the land? 0002 Rented E land_access_yn_disp == 1 0003 Land provided for free by relatives/friends 0004 Community land 0005 Land provided by UN/NGOs 1000 Other (please specify) -0098 Don't know -0099 Refused to respond C.62 How many years had you or the household members owned SINGLE-SELECT land_own_dur_n_disp this land? 01 Less than 1 year E land_tenure_disp == 1 02 1 to 3 years 03 4 to 10 years 04 10 to 20 years 05 Many generations C.63 Were you or any member of the household the recognized SINGLE-SELECT land_legal_disp legal owner of this land? 01 Yes E land_tenure_disp == 1 00 No -98 Don't know -99 Refused to respond C.64 What kind of legal recognition do you have for this land? SINGLE-SELECT land_legal_d_disp I Please read response options to the respondent. Select one. 01 Registered land certification E land_legal_disp == 1 02 Decision by local administration 03 By customary law Don't know 28 / 79 MODULE C: HOUSEHOLD CHARACTERISTICS -98 Don't know -99 Refused to respond C.65 Since displacement from your original place of residence, have SINGLE-SELECT land_lost_disp you or the household members lost access to any land used for 01 Yes agriculture that you or any of the household members owned? 00 No -98 Don't know -99 Refused to respond C.66 How is this agricultural land that the household owned earlier SINGLE-SELECT landag_use_disp but have no longer access to being utilized currently? 0001 Guarded / used by a household member/ relative I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. E land_lost_disp == 1 0002 Rented out 0003 Lent rent-free 0004 Sold 0005 Abandoned due to conflict 0006 Taken over/captured by others 1000 Other (Specify) -0098 Don't know -0099 Refused to respond C.66 Please specify how is this agricultural land that the household TEXT landag_use_disp_spec owned earlier but have no longer access to being utilized currently? E landag_use_disp==1000 MODULE C: HOUSEHOLD CHARACTERISTICS FOOD SECURITY AND COPING STRATEGIES C.67 In the past 4 weeks, how often was there no food to eat of any SINGLE-SELECT hunger_nores kind in your house because of lack of resources to buy food? 01 Never 02 Rarely (1-2 times) 03 Sometimes (3-10 times) 04 Often (more than 10 times) -98 Don't know -99 Refused to respond C.68 What was your main strategy to cope with your lack of food in SINGLE-SELECT hunger_coping your household? 0001 Eat less preferred food E hunger_nores == 2|| hunger_nores == 3|| hunger_nores == 4 0002 Reduce number of meals per day 0003 Limit portion size 0004 Restrict adult consumption 0005 Restrict women's consumption 0006 Borrow food / money to buy food 0007 Skip entire days without food 0008 Collect unusual wild foods / tree leaves 0009 Sell more animals / personal belongings 0010 Consume seed stocks 0011 Sent family members to live elsewhere 1000 Other (please specify) -0098 Don't know -0099 Refused to respond C.68 Please specify the main coping strategy. TEXT hunger_coping_spec E hunger_coping==1000 C.69 In the past 7 days, were there times when your household did SINGLE-SELECT nomoney not have enough food or enough money to buy sufficient food? 01 Yes 00 No -98 Don't know -99 Refused to respond C.70 Over the last 7 days, how many days did your household rely on SINGLE-SELECT cop_lessprefrerred less preferred and less expensive food? 00 0 01 1 day 02 2 days 03 3 days 04 4 days 05 5 days 06 6 days 07 7 days -98 Don't know -99 Refused to respond C.71 Over the last 7 days, how many days did your household SINGLE-SELECT cop_borrow_food borrow food or money for food from friends or relatives? 00 0 01 1 day 02 2 days 03 3 days 04 4 days 05 5 days 06 6 days 07 7 days -98 Don't know -99 Refused to respond C.72 Over the last 7 days, how many days did your household limit SINGLE-SELECT cop_limitportion MODULE C: HOUSEHOLD CHARACTERISTICS 29 / 79 portion size at mealtimes for all household members? 00 0 01 1 day 02 2 days 03 3 days 04 4 days 05 5 days 06 6 days 07 7 days -98 Don't know -99 Refused to respond C.73 Over the last 7 days, how many days did your household SINGLE-SELECT cop_limitadult restrict consumption by adults in order for small children to eat? 00 0 01 1 day 02 2 days 03 3 days 04 4 days 05 5 days 06 6 days 07 7 days -98 Don't know -99 Refused to respond C.74 Over the last 7 days, how many days did your household reduce SINGLE-SELECT cop_reducemeals the number of meals eaten in a day for all household members? 00 0 01 1 day 02 2 days 03 3 days 04 4 days 05 5 days 06 6 days 07 7 days -98 Don't know -99 Refused to respond C.75 In the last 30 days, has your household sold productive assets SINGLE-SELECT cop_sellassets or means of transport e.g., sewing machines, wheel barrows, etc. in 01 Yes order to purchase food? 00 No -98 Don't know -99 Refused to respond C.76 In the last 30 days, has your household sold female animals in SINGLE-SELECT cop_sellfem order to purchase food? 01 Yes 00 No -98 Don't know -99 Refused to respond C.77 In the last 30 days, has your household borrowed money for SINGLE-SELECT cop_borrow non-food purposes? 01 Yes 00 No -98 Don't know -99 Refused to respond C.78 Does your household have access to a mobile money account? SINGLE-SELECT acc_mobile_money 01 Yes 00 No -98 Don't know -99 Refused to respond C.79 If your household needed 5000 Sudanese Pounds in a short SINGLE-SELECT social_saf_net time, whom would you approach first? 0001 Relatives I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. 0002 Friends 0003 People in the clan / community 0004 Religious institutions 0005 State (officials, police) 0006 Local / International NGOs 0007 Private money lenders 0008 Microfinance institutions / banks 1000 Other (Specify) -0098 Don't know -0099 Refused to respond C.79 Please specify who would you approach first if you needed TEXT social_saf_net_spec 5000 Sudanese Pounds in a short time? E social_saf_net==1000 C.80 How easy would it be to borrow the money? SINGLE-SELECT social_ease I Please read response options to the respondent. Select one. 01 Very Easy 02 Easy 03 Neither easy nor difficult 04 Difficult 05 Very difficult -98 Don't know -99 Refused to respond C.81 How many times in the past twelve months have you attended SINGLE-SELECT social_net any public meeting in which there was discussion of community 00 Never affairs? Once 30 / 79 MODULE C: HOUSEHOLD CHARACTERISTICS 01 Once 02 2-4 times 03 5-9 times 04 About once a month on average 05 About twice a month on average 06 About once a week on average 07 More than once a week -98 Don't know -99 Refused to respond C.82 How many times in the past twelve months have you interacted SINGLE-SELECT social_net_leader with someone you consider to be a community leader? 00 Never 01 Once 02 2-4 times 03 5-9 times 04 About once a month on average 05 About twice a month on average 06 About once a week on average 07 More than once a week 08 I am a community leader -98 Don't know -99 Refused to respond MODULE C: HOUSEHOLD CHARACTERISTICS SOURCES OF INCOME AND REMITTANCES STATIC TEXT Now I will ask you some questions about your source of income. C.90 What is the household's main source of livelihood? SINGLE-SELECT lhood I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. 0001 Crop farming 0002 Animal husbandry 0003 Fishing 0004 Wages and salaries 0005 Owned business enterprise 0006 Property income 0007 Remittances / Money or goods from family and friends from inside or outside Sudan 0008 Pension 0009 Aid 1000 Other (Specify) -0098 Don't know -0099 Refused to respond C.90 Please specify the main source of livelihood. TEXT lhood_spec E lhood==1000 C.100 Does the household receive any assistance from the following MULTI-SELECT: YES/NO assist_source sources. Select yes or no for each of the sources listed below. 0001 / UN I Please read the response options to respondent. Record yes/no for each response option. 0002 / NGOs/ Development Partners/ Donors other than V1 self.Yes.Length + self.No.Length == 6 the UN M1 Please record yes/no for each response option. 0003 / Government 0004 / Remittances (money or goods) from family and friends living inside Sudan (This does not include loans) 0005 / Remittances (money or goods) from family and friends living outside Sudan (This does not include loans) 1000 / Other (Please specify) C.100 Please specify the source from which the household received TEXT assist_source_spec assistance. E assist_source.Yes.Contains(1000) Please specify the total amount of cash assistance the household NUMERIC: INTEGER cash_assist received in the last 30 days from the sources mentioned above? Please specify the amount in Sudanese Pounds. C.101 What was the household's main source of livelihood before SINGLE-SELECT lhood_prev displacement from the original place of residence? 0000 Same as now I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. 0001 Crop farming 0002 Animal husbandry 0003 Fishing 0004 Wages and salaries 0005 Owned business enterprise 0006 Property income 0007 Remittance (Money or goods from family and friends from inside or outside Sudan) 0008 Pension 0009 Aid 1000 Other (Specify) -0098 Don't know -0099 Refused to respond C.101 Please specify the main source of livelihood before TEXT lhood_prev_spec displacement. MODULE C: HOUSEHOLD CHARACTERISTICS 31 / 79 E lhood_prev==1000 C.103 What is the relationship of the person who sends the majority SINGLE-SELECT intremit_relation of remittances to %hhh_name%? 0001 Wife or husband E assist_source.Yes.ContainsAny(4,5) 0002 Son or daughter (include adopted) 0003 Brother or sister 0004 Father or mother 0005 Grandfather or grandmother 0006 Grandson or granddaughter 0007 Niece or nephew 0008 Son or daughter in law 0009 Brother or sister in law 0010 Father or mother in law 0012 Other relative 0013 Non-relative/friend 1000 Other (please specify) -0098 Don't know -0099 Refused to respond C.103 Please specify the relationship TEXT intremit_relation_sp E intremit_relation==1000 C.104 Did the person mentioned above live with most of the SINGLE-SELECT intremit_source household members earlier? 01 Yes E assist_source.Yes.ContainsAny(4,5) 00 No -98 Don't know -99 Refused to respond C.105 Did the person mentioned above migrate out of the SINGLE-SELECT intremit_source_mig household to earn income? 01 Yes E intremit_source==1 00 No C.107 How do you receive the remittances sent by family and MULTI-SELECT intremit_mode friends? Select all that apply. 0001 At a bank E assist_source.Yes.ContainsAny(4,5) 0002 At a remittance company like Dahabshil 0003 In the mail 0004 By a courier 0005 Through the internet 0006 Through a credit card or ATM Card 0007 Through a family member of friend travelling to your area 0008 By a bus or minibus 0009 Through a mobile phone 1000 Other (Specify) -0098 Don’t know -0099 Refused to respond C.107 Please specify how you receive the remittances. TEXT intremit_mode_sp E intremit_mode.Contains(1000) C.108 How often in a year do you receive remittances from family SINGLE-SELECT intremit_freq and friends? 01 Once per week or more E assist_source.Yes.ContainsAny(4,5) 02 Twice per month 03 Once per month 04 Every other month 05 Once every 3 months 06 Once every 4 months 07 Twice a year 08 Once a year 09 Special occasions only -98 Don’t know -99 Refused to respond C.109 Before displacement from your original place of residence, did SINGLE-SELECT intremit_prev_yn this household receive remittances in the form of money or goods 01 Yes from family and friends living elsewhere within Sudan or outside 00 No Sudan? -98 Don’t know -99 Refused to respond C.110 Has displacement affected the amount of remittances SINGLE-SELECT intremit_moreless received? If yes, has the amount of remittances received increased 00 No or decreased? 01 Yes, increased E assist_source.Yes.ContainsAny(4,5) 02 Yes, decreased -98 Don’t know -99 Refused to respond C.111 Does your household currently support through money or SINGLE-SELECT supp_ssd_yn goods family and friends living elsewhere in Sudan or outside 01 Yes Sudan? (This does not include loans.) 00 No -98 Don’t know -99 Refused to respond C.112 Has displacement affected the amount of support the SINGLE-SELECT supp_moreless household provides to family and friends living elsewhere within 00 No Yes, increased 32 / 79 MODULE C: HOUSEHOLD CHARACTERISTICS Sudan or outside Sudan? If yes, has the amount of support provided 01 Yes, increased increased or decreased? 02 Yes, decreased -98 Don’t know E supp_ssd_yn==1 -99 Refused to respond When you are finished, end the module by pressing 'Tab to record DATE: CURRENT TIME todayC_e current time' MODULE D: FOOD CONSUMPTION Please begin by pressing 'Tab to record current time' DATE: CURRENT TIME todayD_b STATIC TEXT This is the beginning of Module D, collecting information about the food consumption for the household. STATIC TEXT It is very important that you take the time to collect data on the cost of the items purchased. If not, NBS analysts will follow up with what happened during your interview. STATIC TEXT E beh_treat_opt==1 Read this to the respondent: Thank you for taking the time to speak to us. We really appreciate the time you are giving to participate in the survey. We encourage you to provide honest information. By participating in the survey and by providing accurate information, you are playing an important role in helping us understand the situation in Sudan. STATIC TEXT E beh_treat_opt.InList(1) I will give you a little scenario and would like to know what you think. D.1 John asks his good friend Deng if he has some money that he SINGLE-SELECT okay_lie_n can lend him to help him pay for medicine for his sick son. Deng has 01 Yes, it is okay for Deng to lie to John. money but was planning to buy cigarettes with it. He lies and tells 02 No, it is not okay for Deng to lie to John. John that he has none. Is it okay for Deng to lie to John? E beh_treat_opt == 1 D.2 When was the last time that any of the household members ate SINGLE-SELECT last_meal some food? 01 Today I Please select one answer. Do not read options. 02 Yesterday E beh_treat_opt.InList(1) 03 2 days ago 04 3 days ago 05 4 days ago 06 5 days ago 07 6 days ago 08 Did not have meal in the last 7 days MODULE D: FOOD CONSUMPTION BREAD AND CEREALS D.3 When was the last time that any of the household members had SINGLE-SELECT last_bread Bread and Cereals? 01 Today E beh_treat_opt==1 02 Yesterday 03 2 days ago 04 3 days ago 05 4 days ago 06 5 days ago 07 6 days ago 08 Did not have bread and cereals in the last 7 days D.4 Over the past 7 days, did anyone in your household consume MULTI-SELECT: YES/NO rf_relevanceyn_br any of the items listed below. Please record yes or no for each of the 10101 / Dura (Sorghum) items below. 10102 / Yellow maize (Dura Shami) F (int)mod_opt == 1 && new decimal[]{10101,10102,10105,10106,10108,10109,10111,10115,10116,1010 10103 / Millet (Dukhn) 3,10113,10118}.Contains(@optioncode) || (int)mod_opt == 2 && new decimal[]{10101,10102,10105,10 10104 / Wheat 106,10108,10 And 323 other symbols [2] V1 (int)mod_opt == 1 && (self.Yes.Length + self.No.Length == 12) || (int)mod_opt == 2 10105 / Maize (Ashraf / in the cob) && (self.Yes.Length + self.No.Length == 10)|| (int)mod_opt == 3 && (self.Yes.Lengt h + self.No.Length == 12) || (int)m And 56 other symbols [1] 10106 / Rice (imported) M1 Please record yes or no for each of the items. 10107 / Wheat flour (Daqiq Fina, local) 10108 / Dura flour (Sorghum flour) 10109 / Maize flour 10110 / Millet flour 10111 / Other flour 10112 / Macaroni, spaghetti, noodles etc 10113 / Breakfast cereals 10114 / Reels of pasta 10115 / Bread 10116 / Kisra and asida And 4 other [11] VARIABLE LONG length MODULE D: FOOD CONSUMPTION 33 / 79 rf_relevanceyn_br.Missing.Length MODULE D: FOOD CONSUMPTION / BREAD AND CEREALS Roster: FOOD ITEMS generated by fixed list rf_food_br 10101 Dura (Sorghum) 10102 Yellow maize (Dura Shami) 10103 Millet (Dukhn) 10104 Wheat 10105 Maize (Ashraf / in the cob) 10106 Rice (imported) 10107 Wheat flour (Daqiq Fina, local) 10108 Dura flour (Sorghum flour) 10109 Maize flour 10110 Millet flour 10111 Other flour 10112 Macaroni, spaghetti, noodles etc 10113 Breakfast cereals 10114 Reels of pasta 10115 Bread 10116 Kisra and asida 10117 Local biscuit 10118 Buns 10119 Infant feeding 10120 Other cereals and cereal products (except infant feeding, wheat, millet, reels of pasta, buns and breakfast cereals) E ((fooditems[@rowcode].mod_opt == (int)mod_opt) || (fooditems[@rowcode].mod_opt == 0)) && rf_relevanceyn_br.Yes.Contains(@rowcode) VARIABLE LONG rf_food_int_br (int)@rowcode D.5 What was the total quantity of %rostertitle% consumed by the NUMERIC: DECIMAL rf_cons_quant_br household in the last 7 days? V1 self > 0 M1 The quantity consumed should be greater than zero. D.5 What was the unit? SINGLE-SELECT rf_cons_unit_br F @optioncode == fooditems[(int)@rowcode].u1 || @optioncode == fooditems[(int)@rowcode].u2 || @op 01 basin (10 litre) tioncode == fooditems[(int)@rowcode].u3 || @optioncode == fooditems[(int)@rowcode].u4 || @optionc 02 bundle (100g) ode = And 122 other symbols [7] 03 cup (200g) V1 !((rf_cons_quant_br<(food_quant[(decimal)rf_food_cons_unit_br].c_min_h)) && (rf_co 04 gallon (USAID), 3.7 kg ns_quant_br>0)) 05 gram M1 You have entered a quantity that is far too low: %rf_cons_quant_br% %rf_cons_unit_br%. Go back and edi 06 heap (100g) t. V2 !((rf_cons_quant_br>(food_quant[(decimal)rf_food_cons_unit_br].c_max_h)) && (rf_co 07 heap (150g) ns_quant_br>0) && ((food_quant[(decimal)rf_food_cons_unit_br].c_max_ 08 heap (200g) And 6 other symbols [6] 09 heap (300g) M2 You have entered a quantity that is far too high: %rf_cons_quant_br% %rf_cons_unit_br%. Go back and e 10 heap (700g) dit. V3 !(rf_cons_quant_br==0) 11 jerdal (12 kg) M3 You have entered that the quantity was zero. In a previous question you stated that you did consume %r 12 kilogram ostertitle%. Therefore, the quantity should not be zero. Please edit. 13 litre 14 millilitre 15 packet 16 packet (200g) And 26 other [15] VARIABLE LONG rf_food_cons_unit_br rf_food_int_br*100 + (((rf_cons_unit_br==1) ? 1:0) + ((rf_cons_unit_br==2) ? 2:0) + ((rf_cons_unit_br==3) ? 3:0) + ((rf_cons_unit_br==4) ? 4:0) + ((rf_cons_unit_br= =5) ? 5:0) + ((rf_cons_unit_br= And 1229 other symbols [17] D.5 You have entered a low quantity: %rf_cons_quant_br% SINGLE-SELECT rf_cons_low_br %rf_cons_unit_br%. Confirm that this is accurate or go back and 01 Yes edit. Analysts will follow up. 00 No E // Quantity lower than soft constraint value (rf_cons_quant_br<(food_quant[(decima l)rf_food_cons_unit_br].c_min_s)) && // But quantity larger than hard constraint v alue (rf_cons_quant_br>=(food_quant And 113 other symbols [3] D.5 You have entered a high quantity: %rf_cons_quant_br% SINGLE-SELECT rf_cons_high_br %rf_cons_unit_br%. Confirm that this is accurate or go back and 01 Yes edit. Analysts will follow up. 00 No E (rf_cons_quant_br>(food_quant[(decimal)rf_food_cons_unit_br].c_max_s)) && (rf_cons _quant_br<=(food_quant[(decimal)rf_food_cons_unit_br].c_max_h)) && (rf_cons_quant_ br>0) And 79 other symbols [4] D.6 What was the total quantity purchased by the household in the NUMERIC: DECIMAL rf_purc_quant_br last 7 days [This DOES NOT include food received for free for example from own cultivation or from friends/NGOs]? MODULE D: FOOD CONSUMPTION 34 / 79 D.6 What was the unit? SINGLE-SELECT rf_purc_unit_br 01 basin (10 litre) F @optioncode == fooditems[(int)@rowcode].u1 || @optioncode == fooditems[(int)@rowcode].u2 || @op 02 bundle (100g) tioncode == fooditems[(int)@rowcode].u3 || @optioncode == fooditems[(int)@rowcode].u4 || @optionc ode = And 122 other symbols [8] 03 cup (200g) V1 !(rf_purc_quant_br<(food_quant_purc[(long)rf_food_purc_unit_br].p_min_h) && rf_pur 04 gallon (USAID), 3.7 kg c_quant_br>0) 05 gram M1 You have entered a quantity that is far too low: %rf_purc_quant_br% %rf_purc_unit_br%. Go back and edi t. 06 heap (100g) V2 !((rf_purc_quant_br>(food_quant_purc[(int)rf_food_purc_unit_br].p_max_h)) && (rf_p 07 heap (150g) urc_quant_br>0) && ((food_quant_purc[(int)rf_food_purc_unit_br].p_ma 08 heap (200g) And 8 other symbols [7] 09 heap (300g) M2 You have entered a quantity that is far too high: %rf_purc_quant_br% %rf_purc_unit_br%. Go back and ed 10 heap (700g) it. 11 jerdal (12 kg) 12 kilogram 13 litre 14 millilitre 15 packet 16 packet (200g) And 26 other [16] VARIABLE LONG rf_purc_unit_int_br ((rf_purc_unit_br==1) ? 1:0) + ((rf_purc_unit_br==2) ? 2:0) + ((rf_purc_unit_br==3 ) ? 3:0) + ((rf_purc_unit_br==4) ? 4:0) + ((rf_purc_unit_br==5) ? 5:0) + ((rf_purc _unit_br==6) ? 6:0) + ((rf_pur And 1208 other symbols [18] VARIABLE LONG rf_food_purc_unit_br rf_food_int_br*100 + rf_purc_unit_int_br D.6 You have entered a low quantity: %rf_purc_quant_br% SINGLE-SELECT rf_purc_low_br %rf_purc_unit_br%. Confirm that this is accurate or go back and 01 Yes edit. Analysts will follow up. 00 No E rf_purc_quant_br<(food_quant_purc[(decimal)rf_food_purc_unit_br].p_min_s) && rf_pu rc_quant_br>=(food_quant_purc[(decimal)rf_food_purc_unit_br].p_min_h) && rf_purc_q uant_br>0 D.6 You have entered a high quantity: %rf_purc_quant_br% SINGLE-SELECT rf_purc_high_br %rf_purc_unit_br%. Confirm that this is accurate or go back and 01 Yes edit. Analysts will follow up. 00 No E (rf_purc_quant_br>(food_quant_purc[(int)rf_food_purc_unit_br].p_max_s)) && (rf_pur c_quant_br<=(food_quant_purc[(int)rf_food_purc_unit_br].p_max_h)) && (rf_purc_quan t_br>0) And 82 other symbols [5] D.7 What was the total price paid for the amount that was NUMERIC: INTEGER rf_pric_total_br purchased? E rf_purc_quant_br>0 D.7 Currency SINGLE-SELECT rf_pric_total_curr_br E IsAnswered(rf_pric_total_br) 01 Sudanese Pound 02 USD 03 Other (please specify) D.7 Please specify the currency. TEXT rf_pric_total_sp_br E rf_pric_total_curr_br==3 D.8 Are you sure the price is zero? SINGLE-SELECT rf_pric_zero_br E rf_pric_total_br==0 01 Yes 00 No D.8 You have entered a low price: %rf_pric_total_br% SINGLE-SELECT rf_pric_low_br %rf_pric_total_curr_br%. Confirm that the price of purchase or the 01 Yes quantity purchased are accurate or go back and edit. Analysts will 02 No follow up. I This price (for this purchased quantity) appears unusually low. E // price given in SSP ((rf_pric_total_curr_br==1) && ((rf_pric_total_br/rf_purc_qu ant_br)/food_quant_purc[(decimal)rf_food_purc_unit_br].conv2kg) < food_quant_purc[ (decimal)rf_food_purc_unit_br].v_m And 213 other symbols [6] D.8 You have entered a high price: %rf_pric_total_br% SINGLE-SELECT rf_pric_high_br %rf_pric_total_curr_br%. Confirm that the price of purchase or the 01 Yes quantity purchased are accurate or go back and edit. Analysts will 02 No follow up. I This price (for this purchased quantity) appears unusually high. E // price given in SSP ((rf_pric_total_curr_br==1 && ((rf_pric_total_br/rf_purc_qua nt_br)/food_quant_purc[(decimal)rf_food_purc_unit_br].conv2kg) > food_quant_purc[( decimal)rf_food_purc_unit_br].v_max And 390 other symbols [7] D.9 Did your household receive any of the consumed %rostertitle% SINGLE-SELECT rf_free_yn_br for free (instead of purchasing) for example from own cultivation or 01 Yes from friends/NGOs over the past 7 days? 00 No -98 Don't know D.10 Approximately how much of the %rostertitle% consumed over SINGLE-SELECT rf_free_quant_br the past 7 days was obtained for free? 01 Less than quarter E rf_free_yn_br==1 02 More than quarter but less than half 03 About half 04 More than half but not all 05 All MODULE D: FOOD CONSUMPTION 35 / 79 D.11 Where did you receive most of the free %rostertitle% from? SINGLE-SELECT rf_free_main_br E rf_free_yn_br==1 0000 From own production (own garden) 0001 From friends or relatives (gift) 0002 From NGOs 0003 From government 1000 Other (please specify) -0098 Don't know -0099 Refused to respond D.11 If other, please specify where most of the free %rostertitle% TEXT rf_free_other_br came from. E rf_free_main_br==1000 VARIABLE LONG rf_sum_consumed rf_relevanceyn_br.Yes.Length D.12 You told me that this household consumed only SINGLE-SELECT rf_lowcons %rf_sum_consumed% items of bread and cereals in 7 days. This is 01 Yes unusually low. Are you sure? 00 No I Either confirm this if you are sure or go back and enter the correct data. E // if all items have a yes or no answer… //rf_food.All(x=>IsAnswered(x.rf_relevanc eyn)) ? // then confirm that there are at least 4 “yes” answers //(rf_food.Count(x =>x.rf_relevanceyn==1 && x.catpos1= And 97 other symbols [2] VARIABLE STRING last_bread_s // extract string from last_bread response last_bread==1 ? "Today" : last_bread==2 ? "Yesterday": last_bread==3 ? "2 days ago": last_bread==4 ? "3 days ago" : last_b read==5 ? "4 days ago" : las And 62 other symbols [13] You had earlier said that the household had bread SINGLE-SELECT check %last_bread_s%. However, you did not report any 01 Yes consumption of bread and cereals in the last 7 days. Are 00 No you sure this is correct?<\font> E beh_treat_opt == 1 && rf_sum_consumed==0 && last_bread.InList(1,2,3,4,5,6,7) MODULE D: FOOD CONSUMPTION MEAT D.13 When was the last time that any of the household members SINGLE-SELECT last_meat had meat? 01 Today E beh_treat_opt==1 02 Yesterday 03 2 days ago 04 3 days ago 05 4 days ago 06 5 days ago 07 6 days ago 08 Did not have meat in the last 7 days D.14 Over the past 7 days, did anyone in your household consume MULTI-SELECT: YES/NO rf_relevanceyn_m any of the items listed below. Please record yes or no for each of the 10201 / Sheep meat (fresh, with bone, local) items below. 10202 / Goat meat (with bones, fresh, local) F (int)mod_opt == 1 && new decimal[]{10201,10202,10207,10214,10301,10303,10204,10205,10206,1021 10203 / Liver (sheep/goat) 5,}.Contains(@optioncode) || (int)mod_opt == 2 && new decimal[]{10201,10202,10207,10214,10301,10 10204 / Feet/foot from sheep/goat (fresh and clean 303,10208,1 And 287 other symbols [3] V1 (int)mod_opt == 1 && (self.Yes.Length + self.No.Length == 10) || (int)mod_opt == 2 without skin) && (self.Yes.Length + self.No.Length == 14) || (int)mod_opt == 3 && (self.Yes.Leng 10205 / Head from sheep/goat (fresh and clean without th + self.No.Length == 9) || (int)m And 54 other symbols [2] skin) M1 Please record yes or no for each of the items. 10206 / Mutton tripes/intestines but no liver from sheep/goat (fresh and clean without skin) 10207 / Fresh beef 10208 / Feet/foot from cow/veal (fresh and clean without skin) 10209 / Head from cow/veal (fresh and clean without skin) 10210 / Liver (cattle/veal) 10211 / Intestines beef/cow/veal but no liver 10212 / Pork meat 10213 / Camel liver 10214 / Chicken and poultry 10215 / Small animals (rabbits, mice,etc.) 10216 / Insects And 7 other [12] MODULE D: FOOD CONSUMPTION / MEAT Roster: FOOD ITEMS generated by fixed list rf_food_m 10201 Sheep meat (fresh, with bone, local) 10202 Goat meat (with bones, fresh, local) 10203 Liver (sheep/goat) 10204 Feet/foot from sheep/goat (fresh and clean without skin) 10205 Head from sheep/goat (fresh and clean without skin) MODULE D: FOOD CONSUMPTION 36 / 79 10206 Mutton tripes/intestines but no liver from sheep/goat (fresh and clean without skin) 10207 Fresh beef 10208 Feet/foot from cow/veal (fresh and clean without skin) 10209 Head from cow/veal (fresh and clean without skin) 10210 Liver (cattle/veal) 10211 Intestines beef/cow/veal but no liver 10212 Pork meat 10213 Camel liver 10214 Chicken and poultry 10215 Small animals (rabbits, mice,etc.) 10216 Insects 10217 Blood and blood products 10218 Sausages (cattle/veal) 10219 Other fresh meat and animal products but no sheep/goat or beef/cow/veal 10301 Fresh fish, Bolati and others 10302 Fissekh, salted fish (local) 10303 Dried fish (local) 10304 Tinned fish, sardine 125 grams, tuna, etc E ((fooditems[@rowcode].mod_opt == (int)mod_opt) || (fooditems[@rowcode].mod_opt == 0)) && rf_relevanceyn_m.Yes.Contains(@rowcode) VARIABLE LONG rf_food_int_m (int)@rowcode D.15 What was the total quantity of %rostertitle% consumed by the NUMERIC: DECIMAL rf_cons_quant_m household in the last 7 days? V1 self > 0 M1 The quantity consumed should be greater than zero. D.15 What was the unit? SINGLE-SELECT rf_cons_unit_m 01 basin (10 litre) F @optioncode == fooditems[(int)@rowcode].u1 || @optioncode == fooditems[(int)@rowcode].u2 || @op tioncode == fooditems[(int)@rowcode].u3 || @optioncode == fooditems[(int)@rowcode].u4 || @optionc 02 bundle (100g) ode = And 122 other symbols [9] 03 cup (200g) V1 !((rf_cons_quant_m<(food_quant[(decimal)rf_food_cons_unit_m].c_min_h)) && (rf_cons 04 gallon (USAID), 3.7 kg _quant_m>0)) 05 gram M1 You have entered a quantity that is far too low: %rf_cons_quant_m% %rf_cons_unit_m%. Go back and edi 06 heap (100g) t. V2 !((rf_cons_quant_m>(food_quant[(decimal)rf_food_cons_unit_m].c_max_h)) && (rf_cons 07 heap (150g) _quant_m>0) && ((food_quant[(decimal)rf_food_cons_unit_m].c_max_h)>0 08 heap (200g) And 2 other symbols [8] 09 heap (300g) M2 You have entered a quantity that is far too high: %rf_cons_quant_m% %rf_cons_unit_m%. Go back and ed 10 heap (700g) it. V3 !(rf_cons_quant_m==0) 11 jerdal (12 kg) M3 You have entered that the quantity was zero. In a previous question you stated that you did consume %r 12 kilogram ostertitle%. Therefore, the quantity should not be zero. Please edit. 13 litre 14 millilitre 15 packet 16 packet (200g) And 26 other [17] VARIABLE LONG rf_food_cons_unit_m rf_food_int_m*100 + (((rf_cons_unit_m==1) ? 1:0) + ((rf_cons_unit_m==2) ? 2:0) + ( (rf_cons_unit_m==3) ? 3:0) + ((rf_cons_unit_m==4) ? 4:0) + ((rf_cons_unit_m==5) ? 5:0) + ((rf_cons_unit_m==6) ? 6 And 1186 other symbols [19] D.15 You have entered a low quantity: %rf_cons_quant_m% SINGLE-SELECT rf_cons_low_m %rf_cons_unit_m%. Confirm that this is accurate or go back and edit. 01 Yes Analysts will follow up. 00 No E // Quantity lower than soft constraint value (rf_cons_quant_m<(food_quant[(decimal )rf_food_cons_unit_m].c_min_s)) && // But quantity larger than hard constraint val ue (rf_cons_quant_m>=(food_quant[(d And 89 other symbols [8] D.15 You have entered a high quantity: %rf_cons_quant_m% SINGLE-SELECT rf_cons_high_m %rf_cons_unit_m%. Confirm that this is accurate or go back and edit. 01 Yes Analysts will follow up. 00 No E (rf_cons_quant_m>(food_quant[(decimal)rf_food_cons_unit_m].c_max_s)) && (rf_cons_q uant_m<=(food_quant[(decimal)rf_food_cons_unit_m].c_max_h)) && (rf_cons_quant_m>0) And 72 other symbols [9] D.16 What was the total quantity purchased by the household in the NUMERIC: DECIMAL rf_purc_quant_m last 7 days [This DOES NOT include food received for free for example from own cultivation or from friends/NGOs]? D.16 What was the unit? SINGLE-SELECT rf_purc_unit_m 01 basin (10 litre) F @optioncode == fooditems[(int)@rowcode].u1 || @optioncode == fooditems[(int)@rowcode].u2 || @op tioncode == fooditems[(int)@rowcode].u3 || @optioncode == fooditems[(int)@rowcode].u4 || @optionc 02 bundle (100g) ode = And 122 other symbols [10] 03 cup (200g) V1 !(rf_purc_quant_m<(food_quant_purc[(long)rf_food_purc_unit_m].p_min_h) && rf_purc_ 04 gallon (USAID), 3.7 kg quant_m>0) 05 gram M1 You have entered a quantity that is far too low: %rf_purc_quant_m% %rf_purc_unit_m%. Go back and edit 06 heap (100g) . V2 !((rf_purc_quant_m>(food_quant_purc[(int)rf_food_purc_unit_m].p_max_h)) && (rf_pur 07 heap (150g) c_quant_m>0) && ((food_quant_purc[(int)rf_food_purc_unit_m].p_max_h) 08 heap (200g) heap (300g) 37 / 79 MODULE D: FOOD CONSUMPTION And 4 other symbols [9] 09 heap (300g) M2 You have entered a quantity that is far too high: %rf_purc_quant_m% %rf_purc_unit_m%. Go back and edi 10 heap (700g) t. 11 jerdal (12 kg) 12 kilogram 13 litre 14 millilitre 15 packet 16 packet (200g) And 26 other [18] VARIABLE LONG rf_purc_unit_int_m ((rf_purc_unit_m==1) ? 1:0) + ((rf_purc_unit_m==2) ? 2:0) + ((rf_purc_unit_m==3) ? 3:0) + ((rf_purc_unit_m==4) ? 4:0) + ((rf_purc_unit_m==5) ? 5:0) + ((rf_purc_unit_ m==6) ? 6:0) + ((rf_purc_unit And 1166 other symbols [20] VARIABLE LONG rf_food_purc_unit_m rf_food_int_m*100 + rf_purc_unit_int_m D.16 You have entered a low quantity: %rf_purc_quant_m% SINGLE-SELECT rf_purc_low_m %rf_purc_unit_m%. Confirm that this is accurate or go back and edit. 01 Yes Analysts will follow up. 00 No E rf_purc_quant_m<(food_quant_purc[(decimal)rf_food_purc_unit_m].p_min_s) && rf_purc _quant_m>=(food_quant_purc[(decimal)rf_food_purc_unit_m].p_min_h) && rf_purc_quant _m>0 D.16 You have entered a high quantity: %rf_purc_quant_m% SINGLE-SELECT rf_purc_high_m %rf_purc_unit_m%. Confirm that this is accurate or go back and edit. 01 Yes Analysts will follow up. 00 No E (rf_purc_quant_m>(food_quant_purc[(int)rf_food_purc_unit_m].p_max_s)) && (rf_purc_ quant_m<=(food_quant_purc[(int)rf_food_purc_unit_m].p_max_h)) && (rf_purc_quant_m> 0) And 76 other symbols [10] D.17 What was the total price paid for the amount that was NUMERIC: INTEGER rf_pric_total_m purchased? E rf_purc_quant_m>0 D.17 Currency SINGLE-SELECT rf_pric_total_curr_m E IsAnswered(rf_pric_total_m) 01 Sudanese Pound 02 USD 03 Other (please specify) D.17 Please specify the currency. TEXT rf_pric_total_sp_m E rf_pric_total_curr_m==3 D.17 Are you sure the price is zero? SINGLE-SELECT rf_pric_zero_m E rf_pric_total_m==0 01 Yes 00 No D.17 You have entered a low price: %rf_pric_total_m% SINGLE-SELECT rf_pric_low_m %rf_pric_total_curr_m%. Confirm that the price of purchase or the 01 Yes quantity purchased are accurate or go back and edit. Analysts will 02 No follow up. I This price (for this purchased quantity) appears unusually low. E // price given in SSP ((rf_pric_total_curr_m==1) && ((rf_pric_total_m/rf_purc_quan t_m)/food_quant_purc[(decimal)rf_food_purc_unit_m].conv2kg) < food_quant_purc[(dec imal)rf_food_purc_unit_m].v_min) | And 203 other symbols [11] D.17 You have entered a high price: %rf_pric_total_m% SINGLE-SELECT rf_pric_high_m %rf_pric_total_curr_m%. Confirm that the price of purchase or the 01 Yes quantity purchased are accurate or go back and edit. Analysts will 02 No follow up. I This price (for this purchased quantity) appears unusually high. E // price given in SSP ((rf_pric_total_curr_m==1 && ((rf_pric_total_m/rf_purc_quant _m)/food_quant_purc[(decimal)rf_food_purc_unit_m].conv2kg) > food_quant_purc[(deci mal)rf_food_purc_unit_m].v_max && fo And 378 other symbols [12] D.18 Did your household receive any of the consumed %rostertitle% SINGLE-SELECT rf_free_yn_m for free (instead of purchasing) for example from own cultivation or 01 Yes from friends/NGOs over the past 7 days? 00 No -98 Don't know D.19 Approximately how much of the %rostertitle% consumed over SINGLE-SELECT rf_free_quant_m the past 7 days was obtained for free? 01 Less than quarter E rf_free_yn_m==1 02 More than quarter but less than half 03 More than half but not all 04 All D.20 Where did you receive most of the free %rostertitle% from? SINGLE-SELECT rf_free_main_m E rf_free_yn_m==1 0000 From own production (own garden) 0001 From friends or relatives (gift) 0002 From NGOs 0003 From government 1000 Other (please specify) -0098 Don't know -0099 Refused to respond MODULE D: FOOD CONSUMPTION 38 / 79 D.20 If other, please specify where most of the free %rostertitle% TEXT rf_free_other_m came from. E rf_free_main_m==1000 VARIABLE LONG rf_sum_consumed_meat rf_relevanceyn_m.Yes.Length VARIABLE STRING last_meat_s // extract string from last_bread response last_meat==1 ? "Today" : last_meat==2 ? "Yesterday": last_meat== 3 ? "2 days ago": last_meat==4 ? "3 days ago" : last_meat ==5 ? "4 days ago" : last_me And 56 other symbols [14] You had earlier said that the household had meat SINGLE-SELECT check_m %last_meat_s%. However, you did not report any 01 Yes consumption of meat in the last 7 days. Are you sure this 00 No is correct? E beh_treat_opt == 1 && rf_sum_consumed_meat==0 && last_meat.InList(1,2,3,4,5,6,7) MODULE D: FOOD CONSUMPTION FRUITS D.21 When was the last time that any of the household members SINGLE-SELECT last_fruit had fruits? 01 Today E beh_treat_opt==1 02 Yesterday 03 2 days ago 04 3 days ago 05 4 days ago 06 5 days ago 07 6 days ago 08 Did not have fruits in the last 7 days D.22 Over the past 7 days, did anyone in your household consume MULTI-SELECT: YES/NO rf_relevanceyn_f any of the items listed below. Please record yes or no for each of the 10601 / Apples items below. 10602 / Local banana F (int)mod_opt == 1 && new decimal[]{10604,10603,10609}.Contains(@optioncode) || (int)mod_opt == 2 10603 / Oranges && new decimal[]{10604,10607,10608}.Contains(@optioncode) || (int)mod_opt == 3 && new decimal[]{ 10604 / Mangoes 10604,1 And 118 other symbols [4] V1 (int)mod_opt == 1 && (self.Yes.Length + self.No.Length == 3) || (int)mod_opt == 2 10605 / Indian mango (local) && (self.Yes.Length + self.No.Length == 3) || (int)mod_opt == 3 && (self.Yes.Lengt h + self.No.Length == 3) || (int)mod And 53 other symbols [3] 10606 / Mango peal (municipal mango) M1 Please record yes or no for each of the items. 10607 / Pineapple 10608 / Dates 10609 / Papaya 10610 / Avocado MODULE D: FOOD CONSUMPTION / FRUITS Roster: FOOD ITEMS generated by fixed list rf_food_f 10601 Apples 10602 Local banana 10603 Oranges 10604 Mangoes 10605 Indian mango (local) 10606 Mango peal (municipal mango) 10607 Pineapple 10608 Dates 10609 Papaya 10610 Avocado E ((fooditems[@rowcode].mod_opt == (int)mod_opt) || (fooditems[@rowcode].mod_opt == 0)) && rf_relevanceyn_f.Yes.Contains(@rowcode) VARIABLE LONG rf_food_int_f (int)@rowcode D.23 What was the total quantity of %rostertitle% consumed by the NUMERIC: DECIMAL rf_cons_quant_f household in the last 7 days? V1 self > 0 M1 The quantity consumed should be greater than zero. D.23 What was the unit? SINGLE-SELECT rf_cons_unit_f 01 basin (10 litre) F @optioncode == fooditems[(int)@rowcode].u1 || @optioncode == fooditems[(int)@rowcode].u2 || @op tioncode == fooditems[(int)@rowcode].u3 || @optioncode == fooditems[(int)@rowcode].u4 || @optionc 02 bundle (100g) ode = And 122 other symbols [11] 03 cup (200g) V1 !((rf_cons_quant_f<(food_quant_f_p[(decimal)rf_food_cons_unit_f].c_min_h)) && (rf_ 04 gallon (USAID), 3.7 kg cons_quant_f>0)) 05 gram M1 You have entered a quantity that is far too low: %rf_cons_quant_f% %rf_cons_unit_f%. Go back and edit. 06 heap (100g) V2 !((rf_cons_quant_f>(food_quant_f_p[(decimal)rf_food_cons_unit_f].c_max_h)) && (rf_ cons_quant_f>0) && ((food_quant_f_p[(decimal)rf_food_cons_unit_f].c_ 07 heap (150g) And 10 other symbols [10] 08 heap (200g) M2 You have entered a quantity that is far too high: %rf_cons_quant_f% %rf_cons_unit_f%. Go back and edit. 09 heap (300g) V3 !(rf_cons_quant_f==0) 10 heap (700g) M3 You have entered that the quantity was zero. In a previous question you stated that you did consume %r 11 jerdal (12 kg) kilogram 39 / 79 MODULE D: FOOD CONSUMPTION ostertitle%. Therefore, the quantity should not be zero. Please edit. 12 kilogram 13 litre 14 millilitre 15 packet 16 packet (200g) And 26 other [19] VARIABLE LONG rf_food_cons_unit_f rf_food_int_f*100 + (((rf_cons_unit_f==1) ? 1:0) + ((rf_cons_unit_f==2) ? 2:0) + ( (rf_cons_unit_f==3) ? 3:0) + ((rf_cons_unit_f==4) ? 4:0) + ((rf_cons_unit_f==5) ? 5:0) + ((rf_cons_unit_f==6) ? 6 And 1186 other symbols [21] D.23 You have entered a low quantity: %rf_cons_quant_f% SINGLE-SELECT rf_cons_low_f %rf_cons_unit_f%. Confirm that this is accurate or go back and edit. 01 Yes Analysts will follow up. 00 No E // Quantity lower than soft constraint value (rf_cons_quant_f<(food_quant_f_p[(dec imal)rf_food_cons_unit_f].c_min_s)) && // But quantity larger than hard constraint value (rf_cons_quant_f>=(food_quan And 97 other symbols [13] D.23 You have entered a high quantity: %rf_cons_quant_f% SINGLE-SELECT rf_cons_high_f %rf_cons_unit_f%. Confirm that this is accurate or go back and edit. 01 Yes Analysts will follow up. 00 No E (rf_cons_quant_f>(food_quant_f_p[(decimal)rf_food_cons_unit_f].c_max_s)) && (rf_co ns_quant_f<=(food_quant_f_p[(decimal)rf_food_cons_unit_f].c_max_h)) && (rf_cons_qu ant_f>0) And 84 other symbols [14] D.24 What was the total quantity purchased by the household in the NUMERIC: DECIMAL rf_purc_quant_f last 7 days [This DOES NOT include food received for free for example from own cultivation or from friends/NGOs]? D.24 What was the unit? SINGLE-SELECT rf_purc_unit_f 01 basin (10 litre) F @optioncode == fooditems[(int)@rowcode].u1 || @optioncode == fooditems[(int)@rowcode].u2 || @op tioncode == fooditems[(int)@rowcode].u3 || @optioncode == fooditems[(int)@rowcode].u4 || @optionc 02 bundle (100g) ode = And 122 other symbols [12] 03 cup (200g) V1 !(rf_purc_quant_f<(food_quant_purc_f_p[(long)rf_food_purc_unit_f].p_min_h) && rf_p 04 gallon (USAID), 3.7 kg urc_quant_f>0) 05 gram M1 You have entered a quantity that is far too low: %rf_purc_quant_f% %rf_purc_unit_f%. Go back and edit. 06 heap (100g) V2 !((rf_purc_quant_f>(food_quant_purc_f_p[(int)rf_food_purc_unit_f].p_max_h)) && (rf _purc_quant_f>0) && ((food_quant_purc_f_p[(int)rf_food_purc_unit_f]. 07 heap (150g) And 12 other symbols [11] 08 heap (200g) M2 You have entered a quantity that is far too high: %rf_purc_quant_f% %rf_purc_unit_f%. Go back and edit. 09 heap (300g) 10 heap (700g) 11 jerdal (12 kg) 12 kilogram 13 litre 14 millilitre 15 packet 16 packet (200g) And 26 other [20] VARIABLE LONG rf_purc_unit_int_f ((rf_purc_unit_f==1) ? 1:0) + ((rf_purc_unit_f==2) ? 2:0) + ((rf_purc_unit_f==3) ? 3:0) + ((rf_purc_unit_f==4) ? 4:0) + ((rf_purc_unit_f==5) ? 5:0) + ((rf_purc_unit_ f==6) ? 6:0) + ((rf_purc_unit And 1166 other symbols [22] VARIABLE LONG rf_food_purc_unit_f rf_food_int_f*100 + rf_purc_unit_int_f D.24 You have entered a low quantity: %rf_purc_quant_f% SINGLE-SELECT rf_purc_low_f %rf_purc_unit_f%. Confirm that this is accurate or go back and edit. 01 Yes Analysts will follow up. 00 No E rf_purc_quant_f<(food_quant_purc_f_p[(decimal)rf_food_purc_unit_f].p_min_s) && rf_ purc_quant_f>=(food_quant_purc_f_p[(decimal)rf_food_purc_unit_f].p_min_h) && rf_pu rc_quant_f>0 D.24 You have entered a high quantity: %rf_purc_quant_f% SINGLE-SELECT rf_purc_high_f %rf_purc_unit_f%. Confirm that this is accurate or go back and edit. 01 Yes Analysts will follow up. 00 No E (rf_purc_quant_f>(food_quant_purc_f_p[(int)rf_food_purc_unit_f].p_max_s)) && (rf_p urc_quant_f<=(food_quant_purc_f_p[(int)rf_food_purc_unit_f].p_max_h)) && (rf_purc_ quant_f>0) And 88 other symbols [15] D.25 What was the total price paid for the amount that was NUMERIC: INTEGER rf_pric_total_f purchased? E rf_purc_quant_f>0 D.25 Currency SINGLE-SELECT rf_pric_total_curr_f E IsAnswered(rf_pric_total_f) 01 Sudanese Pound 02 USD 03 Other (please specify) D.25 Please specify the currency. TEXT rf_pric_total_sp_f E rf_pric_total_curr_f==3 SINGLE-SELECT rf_pric_zero_f MODULE D: FOOD CONSUMPTION 40 / 79 D.25 Are you sure the price is zero? 01 Yes 00 No E rf_pric_total_f==0 D.25 You have entered a low price: %rf_pric_total_f% SINGLE-SELECT rf_pric_low_f %rf_pric_total_curr_f%. Confirm that the price of purchase or the 01 Yes quantity purchased are accurate or go back and edit. Analysts will 02 No follow up. I This price (for this purchased quantity) appears unusually low. E // price given in SSP ((rf_pric_total_curr_f==1) && ((rf_pric_total_f/rf_purc_quan t_f)/food_quant_purc_f_p[(decimal)rf_food_purc_unit_f].conv2kg) < food_quant_purc_ f_p[(decimal)rf_food_purc_unit_f]. And 219 other symbols [16] D.25 You have entered a high price: %rf_pric_total_f% SINGLE-SELECT rf_pric_high_f %rf_pric_total_curr_f%. Confirm that the price of purchase or the 01 Yes quantity purchased are accurate or go back and edit. Analysts will 02 No follow up. I This price (for this purchased quantity) appears unusually high. E // price given in SSP ((rf_pric_total_curr_f==1 && ((rf_pric_total_f/rf_purc_quant _f)/food_quant_purc_f_p[(decimal)rf_food_purc_unit_f].conv2kg) > food_quant_purc_f _p[(decimal)rf_food_purc_unit_f].v_m And 402 other symbols [17] D.26 Did your household receive any of the consumed %rostertitle% SINGLE-SELECT rf_free_yn_f for free (instead of purchasing) for example from own cultivation or 01 Yes from friends/NGOs over the past 7 days? 00 No -98 Don't know D.27 Approximately how much of the %rostertitle% consumed over SINGLE-SELECT rf_free_quant_f the past 7 days was obtained for free? 01 Less than quarter E rf_free_yn_f==1 02 More than quarter but less than half 03 More than half but not all 04 All D.28 Where did you receive most of the free %rostertitle% from? SINGLE-SELECT rf_free_main_f E rf_free_yn_f==1 0000 From own production (own garden) 0001 From friends or relatives (gift) 0002 From NGOs 0003 From government 1000 Other (please specify) -0098 Don't know -0099 Refused to respond D.28 If other, please specify where most of the free %rostertitle% TEXT rf_free_other_f came from. E rf_free_main_f==1000 VARIABLE LONG rf_sum_consumed_fruits rf_relevanceyn_f.Yes.Length VARIABLE STRING last_fruit_s // extract string from last_fruit response last_fruit==1 ? "Today" : last_fruit==2 ? "Yesterday": last_fruit== 3 ? "2 days ago": last_fruit==4 ? "3 days ago" : last_ fruit==5 ? "4 days ago" : la And 63 other symbols [15] You had earlier said that the household had fruits SINGLE-SELECT check_f %last_fruit_s%. However, you did not report any 01 Yes consumption of fruits in the last 7 days. Are you sure this 00 No is correct? E beh_treat_opt == 1 && rf_sum_consumed_fruits==0 && last_fruit.InList(1,2,3,4,5,6,7 ) MODULE D: FOOD CONSUMPTION PULSES AND VEGETABLES D.29 When was the last time that any of the household members SINGLE-SELECT last_pulses had pulses and vegetables? 01 Today E beh_treat_opt==1 02 Yesterday 03 2 days ago 04 3 days ago 05 4 days ago 06 5 days ago 07 6 days ago 08 Did not have pulses in the last 7 days D.30 Over the past 7 days, did anyone in your household consume MULTI-SELECT: YES/NO rf_relevanceyn_p any of the items listed below. Please record yes or no for each of the 10701 / Dry Egyptian beans (local) items below. 10702 / Dry chick peas F (int)mod_opt == 1 && new decimal[]{10704,10705,10706,10714,10726,10708,10713,10715,10721,1072 10703 / Green okra 4,10728}.Contains(@optioncode) || (int)mod_opt == 2 && new decimal[]{10704,10705,10706,10714,10 10704 / Dry okra (dry Alweka) 726,10703,10 And 298 other symbols [5] V1 (int)mod_opt == 1 & (self.Yes.Length + self.No.Length == 11) || (int)mod_opt == 2 10705 / Natural groundnut (Roasted) & (self.Yes.Length + self.No.Length == 12) || (int)mod_opt == 3 & (self.Yes.Length + self.No.Length == 9) || (int)mod_ And 51 other symbols [4] 10706 / Groundnut flour M1 Please record yes or no for each of the items. 10707 / Soya bean flour 10708 / Lentils 10709 / White beans (Fasulia) / Lentils (Adasia) 41 / 79 MODULE D: FOOD CONSUMPTION 10710 / Lentils (Adasia) 10711 / Carrots 10712 / Cabbage 10713 / Cucumber 10714 / Onions 10715 / Fresh tomatoes 10716 / Potato (Irish) And 12 other [13] MODULE D: FOOD CONSUMPTION / PULSES AND VEGETABLES Roster: FOOD ITEMS generated by fixed list rf_food_p 10701 Dry Egyptian beans (local) 10702 Dry chick peas 10703 Green okra 10704 Dry okra (dry Alweka) 10705 Natural groundnut (Roasted) 10706 Groundnut flour 10707 Soya bean flour 10708 Lentils (Adas) 10709 White beans (Fasulia) 10710 Lentils (Adas) 10711 Carrots 10712 Cabbage 10713 Cucumber 10714 Onions 10715 Fresh tomatoes 10716 Potato (Irish) 10717 Sweet potato 10718 Molokia (Jute) 10719 Pumpkin (Garaoa) 10720 Tomato sauce (canned) 10721 Tomato sauce (small pack of 70 grams) 10722 Tomato sauce (large pack of local 500 grams) 10723 Tinned pulses 10724 Cassava tubers 10725 Yam 10726 Cassava flour 10727 Cooking banana 10728 Other roots, tubers, vegetables E ((fooditems[@rowcode].mod_opt == (int)mod_opt) || (fooditems[@rowcode].mod_opt == 0)) && rf_relevanceyn_p.Yes.Contains(@rowcode) VARIABLE LONG rf_food_int_p (int)@rowcode D.31 What was the total quantity of %rostertitle% consumed by the NUMERIC: DECIMAL rf_cons_quant_p household in the last 7 days? V1 self > 0 M1 The quantity consumed should be greater than 0. D.31 What was the unit? SINGLE-SELECT rf_cons_unit_p F @optioncode == fooditems[(int)@rowcode].u1 || @optioncode == fooditems[(int)@rowcode].u2 || @op 01 basin (10 litre) tioncode == fooditems[(int)@rowcode].u3 || @optioncode == fooditems[(int)@rowcode].u4 || @optionc 02 bundle (100g) ode = And 122 other symbols [13] 03 cup (200g) V1 !((rf_cons_quant_p<(food_quant_f_p[(decimal)rf_food_cons_unit_p].c_min_h)) && (rf_ 04 gallon (USAID), 3.7 kg cons_quant_p>0)) 05 gram M1 You have entered a quantity that is far too low: %rf_cons_quant_p% %rf_cons_unit_p%. Go back and edit. 06 heap (100g) V2 !((rf_cons_quant_p>(food_quant_f_p[(decimal)rf_food_cons_unit_p].c_max_h)) && (rf_ cons_quant_p>0) && ((food_quant[(decimal)rf_food_cons_unit_p].c_max_ 07 heap (150g) And 6 other symbols [12] 08 heap (200g) M2 You have entered a quantity that is far too high: %rf_cons_quant_p% %rf_cons_unit_p%. Go back and edit 09 heap (300g) . 10 heap (700g) V3 !(rf_cons_quant_p==0) 11 jerdal (12 kg) M3 You have entered that the quantity was zero. In a previous question you stated that you did consume %r 12 kilogram ostertitle%. Therefore, the quantity should not be zero. Please edit. 13 litre 14 millilitre 15 packet 16 packet (200g) And 26 other [21] VARIABLE LONG rf_food_cons_unit_p rf_food_int_p*100 + (((rf_cons_unit_p==1) ? 1:0) + ((rf_cons_unit_p==2) ? 2:0) + ( (rf_cons_unit_p==3) ? 3:0) + ((rf_cons_unit_p==4) ? 4:0) + ((rf_cons_unit_p==5) ? 5:0) + ((rf_cons_unit_p==6) ? 6 And 1186 other symbols [23] MODULE D: FOOD CONSUMPTION 42 / 79 D.31 You have entered a low quantity: %rf_cons_quant_p% SINGLE-SELECT rf_cons_low_p %rf_cons_unit_p%. Confirm that this is accurate or go back and edit. 01 Yes Analysts will follow up. 00 No E // Quantity lower than soft constraint value (rf_cons_quant_p<(food_quant_f_p[(dec imal)rf_food_cons_unit_p].c_min_s)) && // But quantity larger than hard constraint value (rf_cons_quant_p>=(food_quan And 97 other symbols [18] D.31 You have entered a high quantity: %rf_cons_quant_p% SINGLE-SELECT rf_cons_high_p %rf_cons_unit_p%. Confirm that this is accurate or go back and edit. 01 Yes Analysts will follow up. 00 No E (rf_cons_quant_p>(food_quant_f_p[(decimal)rf_food_cons_unit_p].c_max_s)) && (rf_co ns_quant_p<=(food_quant_f_p[(decimal)rf_food_cons_unit_p].c_max_h)) && (rf_cons_qu ant_p>0) And 80 other symbols [19] D.32 What was the total quantity purchased by the household in the NUMERIC: DECIMAL rf_purc_quant_p last 7 days [This DOES NOT include food received for free for example from own cultivation or from friends/NGOs]? D.32 What was the unit? SINGLE-SELECT rf_purc_unit_p F @optioncode == fooditems[(int)@rowcode].u1 || @optioncode == fooditems[(int)@rowcode].u2 || @op 01 basin (10 litre) tioncode == fooditems[(int)@rowcode].u3 || @optioncode == fooditems[(int)@rowcode].u4 || @optionc 02 bundle (100g) ode = And 122 other symbols [14] 03 cup (200g) V1 !(rf_purc_quant_p<(food_quant_purc_f_p[(long)rf_food_purc_unit_p].p_min_h) && rf_p 04 gallon (USAID), 3.7 kg urc_quant_p>0) 05 gram M1 You have entered a quantity that is far too low: %rf_purc_quant_p% %rf_purc_unit_p%. Go back and edit. 06 heap (100g) V2 !((rf_purc_quant_p>(food_quant_purc_f_p[(int)rf_food_purc_unit_p].p_max_h)) && (rf _purc_quant_p>0) && ((food_quant_purc_f_p[(int)rf_food_purc_unit_p]. 07 heap (150g) And 12 other symbols [13] 08 heap (200g) M2 You have entered a quantity that is far too high: %rf_purc_quant_p% %rf_purc_unit_p%. Go back and edit. 09 heap (300g) 10 heap (700g) 11 jerdal (12 kg) 12 kilogram 13 litre 14 millilitre 15 packet 16 packet (200g) And 26 other [22] VARIABLE LONG rf_purc_unit_int_p ((rf_purc_unit_p==1) ? 1:0) + ((rf_purc_unit_p==2) ? 2:0) + ((rf_purc_unit_p==3) ? 3:0) + ((rf_purc_unit_p==4) ? 4:0) + ((rf_purc_unit_p==5) ? 5:0) + ((rf_purc_unit_ p==6) ? 6:0) + ((rf_purc_unit And 1166 other symbols [24] VARIABLE LONG rf_food_purc_unit_p rf_food_int_p*100 + rf_purc_unit_int_p D.32 You have entered a low quantity: %rf_purc_quant_p% SINGLE-SELECT rf_purc_low_p %rf_purc_unit_p%. Confirm that this is accurate or go back and edit. 01 Yes Analysts will follow up. 00 No E rf_purc_quant_p<(food_quant_purc_f_p[(decimal)rf_food_purc_unit_p].p_min_s) && rf_ purc_quant_p>=(food_quant_purc_f_p[(decimal)rf_food_purc_unit_p].p_min_h) && rf_pu rc_quant_p>0 D.32 You have entered a high quantity: %rf_purc_quant_p% SINGLE-SELECT rf_purc_high_p %rf_purc_unit_p%. Confirm that this is accurate or go back and edit. 01 Yes Analysts will follow up. 00 No E (rf_purc_quant_p>(food_quant_purc_f_p[(int)rf_food_purc_unit_p].p_max_s)) && (rf_p urc_quant_p<=(food_quant_purc_f_p[(int)rf_food_purc_unit_p].p_max_h)) && (rf_purc_ quant_p>0) And 88 other symbols [20] D.33 What was the total price paid for the amount that was NUMERIC: INTEGER rf_pric_total_p purchased? E rf_purc_quant_p>0 D.33 Currency SINGLE-SELECT rf_pric_total_curr_p E IsAnswered(rf_pric_total_p) 01 Sudanese Pound 02 USD 03 Other (please specify) D.33 Please specify the currency. TEXT rf_pric_total_sp_p E rf_pric_total_curr_p==3 D.33 Are you sure the price is zero? SINGLE-SELECT rf_pric_zero_p E rf_pric_total_p==0 01 Yes 00 No D.33 You have entered a low price: %rf_pric_total_p% SINGLE-SELECT rf_pric_low_p %rf_pric_total_curr_p%. Confirm that the price of purchase or the 01 Yes quantity purchased are accurate or go back and edit. Analysts will 02 No follow up. I This price (for this purchased quantity) appears unusually low. E // price given in SSP ((rf_pric_total_curr_p==1) && ((rf_pric_total_p/rf_purc_quan t_p)/food_quant_purc_f_p[(decimal)rf_food_purc_unit_p].conv2kg) < food_quant_purc_ f_p[(decimal)rf_food_purc_unit_p]. And 219 other symbols [21] MODULE D: FOOD CONSUMPTION 43 / 79 D.33 You have entered a high price: %rf_pric_total_p% SINGLE-SELECT rf_pric_high_p %rf_pric_total_curr_p%. Confirm that the price of purchase or the 01 Yes quantity purchased are accurate or go back and edit. Analysts will 02 No follow up. I This price (for this purchased quantity) appears unusually high. E // price given in SSP ((rf_pric_total_curr_p==1 && ((rf_pric_total_p/rf_purc_quant _p)/food_quant_purc_f_p[(decimal)rf_food_purc_unit_p].conv2kg) > food_quant_purc_f _p[(decimal)rf_food_purc_unit_p].v_m And 402 other symbols [22] D.34 Did your household receive any of the consumed %rostertitle% SINGLE-SELECT rf_free_yn_p for free (instead of purchasing) for example from own cultivation or 01 Yes from friends/NGOs over the past 7 days? 00 No -98 Don't know D.35 Approximately how much of the %rostertitle% consumed over SINGLE-SELECT rf_free_quant_p the past 7 days was obtained for free? 01 Less than quarter E rf_free_yn_p==1 02 More than quarter but less than half 03 More than half but not all 04 All D.36 Where did you receive most of the free %rostertitle% from? SINGLE-SELECT rf_free_main_p E rf_free_yn_p==1 0000 From own production (own garden) 0001 From friends or relatives (gift) 0002 From NGOs 0003 From government 1000 Other (please specify) -0098 Don't know -0099 Refused to respond D.36 If other, please specify where most of the free %rostertitle% TEXT rf_free_other_p came from. E rf_free_main_p==1000 VARIABLE LONG rf_sum_consumed_pulses rf_relevanceyn_p.Yes.Length VARIABLE STRING last_pulses_s // extract string from last_bread response last_pulses==1 ? "Today" : last_pulses= =2 ? "Yesterday": last_pulses==3 ? "2 days ago": last_pulses==4 ? "3 days ago" : l ast_pulses==5 ? "4 days ago" : And 69 other symbols [16] You had earlier said that the household had pulses SINGLE-SELECT check_p %last_pulses_s%. However, you did not report any 01 Yes consumption of pulses in the last 7 days. Are you sure 00 No this is correct? E beh_treat_opt == 1 && rf_sum_consumed_pulses==0 && last_pulses.InList(1,2,3,4,5,6, 7) MODULE D: FOOD CONSUMPTION REST OF THE ITEMS D.37 Over the past 7 days, did anyone in your household consume MULTI-SELECT: YES/NO rf_relevanceyn_ot any of the items listed below. Please record yes or no for each of the 10401 / Fresh milk items below. 10402 / Milk powder F (int)mod_opt == 1 && new decimal[]{10401,10402,10503,10801,10803,10908,11001,11106,11202,1140 10403 / Milk products; cheese, yoghurt, etc 4,11405,11406,10807,10901,10902,11005,11006,11101,11102,11103,11201,11203,11301,11304}.Cont 10404 / Eggs ains(@optioncode And 610 other symbols [6] V1 (int)mod_opt == 1 && (self.Yes.Length + self.No.Length == 24) || (int)mod_opt == 2 10501 / Animal and vegetable butter && (self.Yes.Length + self.No.Length == 20) || (int)mod_opt == 3 && (self.Yes.Leng th + self.No.Length == 26)|| (int) And 56 other symbols [5] 10502 / Ghee (samin) M1 Please record yes or no for each of the items. 10503 / Cooking oil 10801 / Sugar 10802 / Sugar cane 10803 / Natural honey 10804 / Tahnieh Halawa 10805 / Chocolate 10806 / Jam (the malty) & jelly 10807 / Candy 10808 / Jelly 10901 / Green spicy (pungent) And 43 other [14] MODULE D: FOOD CONSUMPTION / REST OF THE ITEMS Roster: FOOD ITEMS generated by fixed list rf_food 10401 Fresh milk 10402 Milk powder 10403 Milk products; cheese, yoghurt, etc 10404 Eggs 10501 Animal and vegetable butter 10502 Ghee (samin) MODULE D: FOOD CONSUMPTION 44 / 79 10503 Cooking oil 10801 Sugar 10802 Sugar cane 10803 Natural honey 10804 Tahnieh Halawa 10805 Chocolate 10806 Jam (the malty) & jelly 10807 Candy 10808 Jelly 10901 Green spicy (pungent) 10902 Red chili (hot pepper) 10903 Grain black pepper 10904 Ginger powder 10905 Yeast 10906 Promises cinnamon 10907 Cinnamon powder 10908 Food salt 10909 Baking powder 10910 Coriander 10911 Okra dry powder (Alweka) 11001 Coffee 11002 Black tea imported (no tea bags) 11003 Khazalten tea or other 11004 Tea bags 11005 Nescafe (coffee instant) 11006 Cocoa 11101 Local mineral water 11102 Local mineral water 1.5 liters 11103 Local mineral water 0.5 liters 11104 Orange juice (fruit juice) 11105 Bottle of Fanta Sprite 11106 Traditional beer 11107 Canned/bottled beer 11108 Liquor 11110 Bottle of Fanta or Sprite 300-350 milliliters 11111 Aluminium box Fanta or Sprite 350 milliliters 11201 Cigarettes 11202 Tombac, tobacco 11203 Honeyed tobacco (Aoasl) 11301 Lunch in a restaurant 11302 Coffee or tea in the market 11303 Fresh orange juice in a restaurant 11304 Meals and breakfast for one person in a restaurant 11305 Sandwich Tamiya / chickpeas 11306 Egyptian boiled beans (Ful Masir) 11401 Maize boiled/roasted 11402 Cassava boiled from vendor 11403 Eggs boiled from vendor 11404 Chicken from vendor 11405 Meat from vendor 11406 Fish from vendor 11407 Meat dishes in a restaurant 11408 Fish dishes in a restaurant E ((fooditems[@rowcode].mod_opt == (int)mod_opt) || (fooditems[@rowcode].mod_opt == 0)) && rf_relevanceyn_ot.Yes.Contains(@rowcode) VARIABLE LONG rf_food_int (int)@rowcode D.38 What was the total quantity of %rostertitle% consumed by the NUMERIC: DECIMAL rf_cons_quant household in the last 7 days? V1 self > 0 M1 The quantity consumed should be greater than 0. D.38 What was the unit? SINGLE-SELECT rf_cons_unit F @optioncode == fooditems[(int)@rowcode].u1 || @optioncode == fooditems[(int)@rowcode].u2 || @op 01 basin (10 litre) tioncode == fooditems[(int)@rowcode].u3 || @optioncode == fooditems[(int)@rowcode].u4 || @optionc 02 bundle (100g) ode = And 122 other symbols [15] 03 cup (200g) V1 !((rf_cons_quant<(food_quant_other[(decimal)rf_food_cons_unit].c_min_h)) && (rf_co 04 gallon (USAID), 3.7 kg gram 45 / 79 MODULE D: FOOD CONSUMPTION ns_quant>0)) 05 gram M1 You have entered a quantity that is far too low: %rf_cons_quant% %rf_cons_unit%. Go back and edit. 06 heap (100g) V2 !((rf_cons_quant>(food_quant_other[(decimal)rf_food_cons_unit].c_max_h)) && (rf_co 07 heap (150g) ns_quant>0) && ((food_quant_other[(decimal)rf_food_cons_unit].c_max_ And 6 other symbols [14] 08 heap (200g) M2 You have entered a quantity that is far too high: %rf_cons_quant% %rf_cons_unit%. Go back and edit. 09 heap (300g) V3 !(rf_cons_quant==0) 10 heap (700g) M3 You have entered that the quantity was zero. In a previous question you stated that you did consume %r 11 jerdal (12 kg) ostertitle%. Therefore, the quantity should not be zero. Please edit. 12 kilogram 13 litre 14 millilitre 15 packet 16 packet (200g) And 26 other [23] VARIABLE LONG rf_food_cons_unit rf_food_int*100 + (((rf_cons_unit==1) ? 1:0) + ((rf_cons_unit==2) ? 2:0) + ((rf_co ns_unit==3) ? 3:0) + ((rf_cons_unit==4) ? 4:0) + ((rf_cons_unit==5) ? 5:0) + ((rf_ cons_unit==6) ? 6:0) + ((rf_co And 1100 other symbols [25] D.38 You have entered a low quantity: %rf_cons_quant% SINGLE-SELECT rf_cons_low %rf_cons_unit%. Confirm that this is accurate or go back and edit. 01 Yes Analysts will follow up. 00 No E // Quantity lower than soft constraint value (rf_cons_quant<(food_quant_other[(dec imal)rf_food_cons_unit].c_min_s)) && // But quantity larger than hard constraint v alue (rf_cons_quant>=(food_quant_ot And 91 other symbols [23] D.38 You have entered a high quantity: %rf_cons_quant% SINGLE-SELECT rf_cons_high %rf_cons_unit%. Confirm that this is accurate or go back and edit. 01 Yes Analysts will follow up. 00 No E (rf_cons_quant>(food_quant_other[(decimal)rf_food_cons_unit].c_max_s)) && (rf_cons _quant<=(food_quant_other[(decimal)rf_food_cons_unit].c_max_h)) && (rf_cons_quant> 0) And 78 other symbols [24] D.39 What was the total quantity purchased by the household in the NUMERIC: DECIMAL rf_purc_quant last 7 days [This DOES NOT include food received for free for example from own cultivation or from friends/NGOs]? D.39 What was the unit? SINGLE-SELECT rf_purc_unit F @optioncode == fooditems[(int)@rowcode].u1 || @optioncode == fooditems[(int)@rowcode].u2 || @op 01 basin (10 litre) tioncode == fooditems[(int)@rowcode].u3 || @optioncode == fooditems[(int)@rowcode].u4 || @optionc 02 bundle (100g) ode = And 122 other symbols [16] 03 cup (200g) V1 !(rf_purc_quant<(food_quant_purc_other[(long)rf_food_purc_unit].p_min_h) && rf_pur 04 gallon (USAID), 3.7 kg c_quant>0) 05 gram M1 You have entered a quantity that is far too low: %rf_purc_quant% %rf_purc_unit%. Go back and edit. 06 heap (100g) V2 !((rf_purc_quant>(food_quant_purc_other[(int)rf_food_purc_unit].p_max_h)) && (rf_p urc_quant>0) && ((food_quant_purc_other[(int)rf_food_purc_unit].p_ma 07 heap (150g) And 8 other symbols [15] 08 heap (200g) M2 You have entered a quantity that is far too high: %rf_purc_quant% %rf_purc_unit%. Go back and edit. 09 heap (300g) 10 heap (700g) 11 jerdal (12 kg) 12 kilogram 13 litre 14 millilitre 15 packet 16 packet (200g) And 26 other [24] VARIABLE LONG rf_purc_unit_int ((rf_purc_unit==1) ? 1:0) + ((rf_purc_unit==2) ? 2:0) + ((rf_purc_unit==3) ? 3:0) + ((rf_purc_unit==4) ? 4:0) + ((rf_purc_unit==5) ? 5:0) + ((rf_purc_unit==6) ? 6:0 ) + ((rf_purc_unit==7) ? 7:0) And 1082 other symbols [26] VARIABLE LONG rf_food_purc_unit rf_food_int*100 + rf_purc_unit_int D.39 You have entered a low quantity: %rf_purc_quant% SINGLE-SELECT rf_purc_low %rf_purc_unit%. Confirm that this is accurate or go back and edit. 01 Yes Analysts will follow up. 00 No E rf_purc_quant<(food_quant_purc_other[(decimal)rf_food_purc_unit].p_min_s) && rf_pu rc_quant>=(food_quant_purc_other[(decimal)rf_food_purc_unit].p_min_h) && rf_purc_q uant>0 D.39 You have entered a high quantity: %rf_purc_quant% SINGLE-SELECT rf_purc_high %rf_purc_unit%. Confirm that this is accurate or go back and edit. 01 Yes Analysts will follow up. 00 No E (rf_purc_quant>(food_quant_purc_other[(int)rf_food_purc_unit].p_max_s)) && (rf_pur c_quant<=(food_quant_purc_other[(int)rf_food_purc_unit].p_max_h)) && (rf_purc_quan t>0) And 82 other symbols [25] D.40 What was the total price paid for the amount that was NUMERIC: INTEGER rf_pric_total purchased? E rf_purc_quant>0 D.40 Currency SINGLE-SELECT rf_pric_total_curr E IsAnswered(rf_pric_total) 01 Sudanese Pound 02 USD MODULE D: FOOD CONSUMPTION Other (please specify) 46 / 79 USD 03 Other (please specify) D.40 Please specify the currency. TEXT rf_pric_total_sp E rf_pric_total_curr==3 D.40 Are you sure the price is zero? SINGLE-SELECT rf_pric_zero E rf_pric_total==0 01 Yes 00 No D.40 You have entered a low price: %rf_pric_total% SINGLE-SELECT rf_pric_low %rf_pric_total_curr%. Confirm that the price of purchase or the 01 Yes quantity purchased are accurate or go back and edit. Analysts will 02 No follow up. I This price (for this purchased quantity) appears unusually low. E // price given in SSP ((rf_pric_total_curr==1) && ((rf_pric_total/rf_purc_quant)/f ood_quant_purc_other[(decimal)rf_food_purc_unit].conv2kg) < food_quant_purc_other[ (decimal)rf_food_purc_unit].v_min) And 207 other symbols [26] D.40 You have entered a high price: %rf_pric_total% SINGLE-SELECT rf_pric_high %rf_pric_total_curr%. Confirm that the price of purchase or the 01 Yes quantity purchased are accurate or go back and edit. Analysts will 02 No follow up. I This price (for this purchased quantity) appears unusually high. E // price given in SSP ((rf_pric_total_curr==1 && ((rf_pric_total/rf_purc_quant)/fo od_quant_purc_other[(decimal)rf_food_purc_unit].conv2kg) > food_quant_purc_other[( decimal)rf_food_purc_unit].v_max && And 390 other symbols [27] D.41 Did your household receive any of the consumed %rostertitle% SINGLE-SELECT rf_free_yn for free (instead of purchasing) for example from own cultivation or 01 Yes from friends/NGOs over the past 7 days? 00 No -98 Don't know D.42 Approximately how much of the %rostertitle% consumed over SINGLE-SELECT rf_free_quant the past 7 days was obtained for free? 01 Less than quarter E rf_free_yn==1 02 More than quarter but less than half 03 More than half but not all 04 All D.43 Where did you receive most of the free %rostertitle% from? SINGLE-SELECT rf_free_main E rf_free_yn==1 0000 From own production (own garden) 0001 From friends or relatives (gift) 0002 From NGOs 0003 From government 1000 Other (please specify) -0098 Don't know -0099 Refused to respond D.43 If other, please specify where most of the free %rostertitle% TEXT rf_free_other came from. E rf_free_main==1000 When you are finished, end the module by pressing 'Tab to record DATE: CURRENT TIME todayD_e current time' MODULE E: NON-FOOD CONSUMPTION Please begin by pressing 'Tab to record current time' DATE: CURRENT TIME todayE_b STATIC TEXT This is the beginning of Module E, collecting information about the non-food consumption for the household. STATIC TEXT It is very important that you take the time to collect data on the cost of the items purchased. If not, NBS analysts will follow up with what happened during your interview. E.1 Over the past 30 days, did anyone in your household buy or MULTI-SELECT: YES/NO rnf_item receive for free any of the items listed below. Please record yes or 20000 / Traditional healers fee/medicine no for each of the items listed below: 20101 / Monthly water fees F (int)mod_opt == 1 && new decimal[]{20000,20101,20202,20203,20204,20301,20401,20402,20601,2060 20102 / Waste fees 2,20604,20608,20701,20702,20703,20802,20804,21001,21003,20403,20606,20611,20704,20903,20904 20103 / Other related fees and services ,21006}.Contains And 682 other symbols [17] V1 (int)mod_opt == 1 && (self.Yes.Length + self.No.Length == 26) || (int)mod_opt == 2 20201 / Match boxes && (self.Yes.Length + self.No.Length == 26) || (int)mod_opt == 3 && (self.Yes.Leng th + self.No.Length == 30) || (int) And 58 other symbols [16] 20202 / Laundry soap (local) M1 Please record yes or no for each of the items. 20203 / Soap (powder) 20204 / Bathing soap 20301 / Service cost weekly salary at family house 20302 / Other kind of domestic services 20401 / Cough Syrup medicine (cold) 20402 / Drug tabs and roots for reducing fever and malaria / Antibiotics 47 / 79 MODULE E: NON-FOOD CONSUMPTION 20403 / Antibiotics 20404 / Other pharmaceutical products except antibiotics 20501 / Medical eye glasses 20502 / Hearing aid And 33 other [25] E.2 Over the past 365 days, did anyone in your household buy or MULTI-SELECT: YES/NO rnf_item_yr receive for free any of the items listed below. Please record yes or 20001 / Private hospital no for each of the items listed below: 20605 / Government hospital F (int)mod_opt == 1 && new decimal[]{21102,21103,21104,21105,21301,21901,21902,21109,21203,2120 20906 / Newspapers and periodicals 4,21205,21303,21401,21502,21503,21602,21604,21707,21801,21804,21805,22004}.Contains(@optionc 20907 / Stationary and painting ode) || (int)mo And 544 other symbols [18] V1 (int)mod_opt == 1 && (self.Yes.Length + self.No.Length == 22) || (int)mod_opt == 2 20908 / Accommodation services, hotel rent etc. Not for && (self.Yes.Length + self.No.Length == 21) || (int)mod_opt == 3 && (self.Yes.Leng the house th + self.No.Length == 15) || (int And 57 other symbols [17] 20909 / Suitcase, schoolbags etc M1 Please record yes or no for each of the items 21101 / Clothing materials, tissue etc 21102 / Infant and boys clothing 21103 / Girls clothing 21104 / Men's clothing 21105 / Lady's clothing 21106 / Hats and ties 21107 / Laundry, repair and rental 21108 / Tailoring fees 21109 / Wristwatch and wall clock 21201 / Men's shoes (normal skin) And 47 other [26] MODULE E: NON-FOOD CONSUMPTION Roster: NON-FOOD ITEM REPEAT generated by fixed list rnf_nonfood 20000 Traditional healers fee/medicine 20001 Private hospital 20101 Monthly water fees 20102 Waste fees 20103 Other related fees and services 20201 Match boxes 20202 Laundry soap (local) 20203 Soap (powder) 20204 Bathing soap 20205 Other 20301 Service cost weekly salary at family house 20302 Other kind of domestic services 20401 Cough Syrup medicine (cold) 20402 Drug tabs and roots for reducing fever and malaria 20403 Antibiotics 20404 Other pharmaceutical products except antibiotics 20501 Medical eye glasses 20502 Hearing aid 20601 Specialist and general doctors 20602 Medical consultation at hospital 20603 Birth in general hospital 20604 Operations in hospital 20605 Government hospital 20606 Planning blood vessels 20607 Filling and treatment of teeth 20608 Malaria blood testing 20609 Other tests (blood, urine, feces) 20610 x-ray test 20611 Physiotherapy 20701 Movement and freight using train or road transport 20702 Boda-boda, taxi and bus fares 20703 Tickets for air travel 20704 Tickets for travel by sea or river 20801 Cost of sending mail and parcel 20802 Mobile and fix phone costs and their repair 20803 Telephone subscription fees (no airtime) 20804 Mobile airtime and internet and fax fees 20901 Photographic and computers tapes/CD 20902 Football and other sports equipment 20903 Spending on pets and related products MODULE E: NON-FOOD CONSUMPTION 48 / 79 20904 Participate and fees in sports clubs and tickets 20905 Spending on books including textbooks 20906 Newspapers and periodicals 20907 Stationary and painting 20908 Accommodation services, hotel rent etc. Not for the house 20909 Suitcase, schoolbags etc 20910 Organized travels incl Hajj and Umrah 21001 Hair cut for men, hair dressing for women 21002 Sauna bath 21003 Decoration for women 21004 Other personal care services 21005 Small electric hairdryer etc 21006 Shampoo, creams and perfumes 21007 Tooth paste and teeth brush 21008 Ordinary razor 21009 Talh wood and shaf 21101 Clothing materials, tissue etc 21102 Infant and boys clothing 21103 Girls clothing 21104 Men's clothing 21105 Ladies' clothing 21106 Hats and ties 21107 Laundry, repair and rental 21108 Tailoring fees 21109 Wristwatch and wall clock 21201 Men's shoes (normal skin) 21202 Men's Slippers 21203 Women's shoes (normal skin) 21204 Women's leather slippers 21205 Girl's shoes imitation leather 21301 Occupied family housing maintenance cost 21302 Faucet (tap) 21303 Neon bulb 21304 Glass for building 21305 Portland cement 21306 Switch (electric) 21307 Other materials for housing maintenance (no cement or bulbs) 21401 Furniture except bed/mattress 21402 Linoleum / plastic flooring 21403 Carpet imported 21404 Pillows and blankets 21501 Filling of refrigerator gas 21502 Mixer repair 21503 Other electrical household appliances repair 21601 Cooking suit (pots) 21602 Glass plate 21603 Glass bowl (imported) 21604 Spoons, knives, forks 21605 Tea cups, glasses etc 21701 Tools and hand equipments 21702 Hand operated screwdriver 21703 Hand saw 21704 Tree branch scissor 21705 Bulb charger (imported) 21706 Electrical link 21707 Dry-cell battery (Haggar battery –large size) 21708 Torch/Flash light 21709 Paraffin lamp 21801 Spare parts and accessories for personal transport 21802 Fuel, oils and lubricants for personal transport 21803 Maintenance and repair of personal transport 21804 Compulsory car insurance 21805 Relating insurance transport 21901 Pre primary and primary education 21902 Secondary education MODULE E: NON-FOOD CONSUMPTION 49 / 79 21903 Post secondary education / Higher education 21904 Un-specified educational level 22001 Charges for official document inclusive ID card 22002 Driving license fees 22003 Birth certificate fees 22004 Marriage document fees 22005 Passport fees 22006 Ownership document for real estate E ((nonfooditems[@rowcode].mod_opt == (int)mod_opt) || (nonfooditems[@rowcode].mod_opt == 0)) && (rnf_item.Yes.Contains(@rowcode) || rnf_item_yr.Yes.Contains(@rowcode)) VARIABLE LONG rnf_item_recall (long)nonfooditems[@rowcode].recall E.3 How much did you spend on %rostertitle% in the past NUMERIC: INTEGER rnf_pric_total %rnf_item_recall% days? E.3 Currency SINGLE-SELECT rnf_pric_total_curr E IsAnswered(rnf_pric_total) 01 Sudanese Pound 02 USD 03 Other (please specify) E.3 Please specify the currency TEXT rnf_pric_total_sp E rnf_pric_total_curr==3 E.3 Are you sure the price was zero? SINGLE-SELECT rnf_pric_zero E rnf_pric_total==0 01 Yes 00 No E.3 You have entered a low price: %rnf_pric_total% SINGLE-SELECT rnf_pric_sspperkg_low %rnf_pric_total_curr%. Confirm that this is accurate or go back and 01 Yes edit. Analysts will follow up. 00 No I This price appears unusually low. E ((rnf_pric_total_curr==1 && rnf_pric_total0) || ((rnf_pric_total_curr==2 && (rnf_pric_total*120)0) E.3 You have entered a high price: %rnf_pric_total% SINGLE-SELECT rnf_pric_sspperkg_high %rnf_pric_total_curr%. Confirm that this is accurate or go back and 01 Yes edit. Analysts will follow up. 00 No I This price appears unusually high. E ((rnf_pric_total_curr==1 && rnf_pric_total>nonfooditems[@rowcode].v_max_s) & rnf_p ric_total>0 & nonfooditems[@rowcode].v_max_s > 0) || ((rnf_pric_total_curr==2 && ( rnf_pric_total*120)>nonfooditems[@ro And 72 other symbols [28] E.4 Did your household receive any of the consumed %rostertitle% SINGLE-SELECT rnf_free_yn for free (instead of purchasing it) over the past %rnf_item_recall% 01 Yes days? 00 No -98 Don't know -99 Refused to respond E.5 Where did you receive most of the free %rostertitle% from? SINGLE-SELECT rnf_free_main E rnf_free_yn==1 0001 From friends or relatives (gift) 0002 From NGOs 0003 From government 1000 Other (please specify) -0098 Don't know -0099 Refused to respond E.5 If other, please specify where most of the free %rostertitle% TEXT rnf_free_other came from. E rnf_free_main==1000 When you are finished, end the module by pressing 'Tab to record DATE: CURRENT TIME todayE_e current time' MODULE F: LIVESTOCK Please begin by pressing 'Tab to record current time' DATE: CURRENT TIME todayF_b STATIC TEXT This is the beginning of Module F. In this module, I would like to ask you some questions about the household's livestock. STATIC TEXT Below is a list of different kinds of livestock. We will go through each item in order and I will ask you a few questions about each one. F.1 Over the last 12 months, has any household member raised any MULTI-SELECT: YES/NO rl_raise_yn livestock listed below. Please record yes or no for each of the items / Cattle 50 / 79 MODULE F: LIVESTOCK listed below. 01 / Cattle 02 / Horses V1 self.Yes.Length + self.No.Length == 8 M1 Please record yes or no for each of the types of livestock in the list. 03 / Donkey/Mules 04 / Pigs 05 / Sheep 06 / Goats 07 / Poultry 08 / Camels MODULE F: LIVESTOCK Roster: LIVESTOCK generated by fixed list rl_livestock 01 Cattle 02 Horses 03 Donkey/Mules 04 Pigs 05 Sheep 06 Goats 07 Poultry 08 Camels E rl_raise_yn.Yes.Contains(@rowcode) F.2 How many heads of %rostertitle% does your household own NUMERIC: INTEGER rl_own_n today? (This can be zero) V1 !(rl_own_n>cattle[@rowcode].max_h && rl_own_n>0) M1 Note: You have entered a number that seems far too high. Go back and edit. F.2 You have entered a high number: %rl_own_n% %rostertitle%. SINGLE-SELECT rl_own_high Confirm that this is accurate or go back and edit. Analysts will follow 01 Yes up. 00 No E rl_own_n>cattle[@rowcode].max_s && rl_own_n0 F.3 Does the household have the right to sell, mortgage, rent out or SINGLE-SELECT rl_own_r give away for all the heads of %rostertitle% owned? 01 Yes E rl_own_n>0 00 No -98 Don't know -99 Refused to respond F.4 For how many heads of %rostertitle% does your household have NUMERIC: INTEGER rl_own_r_n the right to sell, mortgage, rent out or give away? (This can be zero) E rl_own_r == 0 V1 rl_own_r_n <= rl_own_n M1 The number of %rostertitle% with the right to sell should be less than or equal to the number of %roster title% raised. F.5 Before displacement from your original place of residence, did MULTI-SELECT: YES/NO rl_raise_prev_yn any household member raise any livestock listed below. Please 01 / Cattle record yes or no for each of the items listed below. 02 / Horses V1 self.Yes.Length + self.No.Length == 8 03 / Donkey/Mules M1 Please record yes or no for each of the types of livestock in the list. 04 / Pigs 05 / Sheep 06 / Goats 07 / Poultry 08 / Camels MODULE F: LIVESTOCK Roster: LIVESTOCK generated by fixed list rl_livestock_pre 01 Cattle 02 Horses 03 Donkey/Mules 04 Pigs 05 Sheep 06 Goats 07 Poultry 08 Camels E rl_raise_prev_yn.Yes.Contains(@rowcode) F.21 How many heads of %rostertitle% did your household own NUMERIC: INTEGER rl_own_pre before displacement? (This can be zero) V1 !(rl_own_pre>cattle[@rowcode].max_h && rl_own_pre>0) M1 Note: You have entered a number that seems far too high. Go back and edit. F.22 You have entered a high number: %rl_own_pre% %rostertitle%. SINGLE-SELECT rl_own_pre_high Confirm that this is accurate or go back and edit. Analysts will follow Yes 51 / 79 MODULE F: LIVESTOCK up. 01 Yes 00 No E rl_own_pre>cattle[@rowcode].max_s && rl_own_pre0 F.5 Did the household have the right to sell, mortgage, rent out or SINGLE-SELECT rl_own_prev_r give away for all the heads of %rostertitle% raised before 01 Yes displacement? 00 No E rl_own_pre>0 -98 Don't know -99 Refused to respond F.4 For how many heads of %rostertitle% did your household have NUMERIC: INTEGER rl_own_pre_r_n the right to sell, mortgage, rent out or give away? (This can be zero) E rl_own_prev_r == 0 V1 self <= rl_own_pre M1 The number of %rostertitle% with the right to sell should be less than or equal to the number of %roster title% raised. When you are finished, end the module by pressing 'Tab to record DATE: CURRENT TIME todayF_e current time' MODULE G: DURABLE GOODS Please begin by pressing 'Tab to record current time' DATE: CURRENT TIME todayG_b STATIC TEXT This is the beginning of Module G. In this module, I would like ask you some questions about the household's durable goods. STATIC TEXT Below is a list of different durable goods. We will go through each item in order and I will ask you a few questions about each one. G.1 Does anyone in your household own today the items listed MULTI-SELECT: YES/NO ra_own below. Please record yes or no for each of the items listed below. 01 / Cars V1 self.Yes.Length + self.No.Length == 21 02 / Trucks M1 Please record yes or no for each of the items. 03 / Motorcycle/motor 04 / Rickshaw 05 / Bicycle 06 / Canoe or boat 07 / Plough 08 / Television 09 / Satellite dish 10 / DVD or CD player 11 / Radio or transistor 12 / Mobile phone 13 / Computer or laptop 14 / Refrigerator 15 / Washing machine 16 / Fan And 5 other [27] MODULE G: DURABLE GOODS Roster: MODULE G: DURABLE GOODS generated by fixed list ra_assets 01 Cars 02 Trucks 03 Motorcycle/motor 04 Rickshaw 05 Bicycle 06 Canoe or boat 07 Plough 08 Television 09 Satellite dish 10 DVD or CD player 11 Radio or transistor 12 Mobile phone 13 Computer or laptop 14 Refrigerator 15 Washing machine 16 Fan 17 Air cooler or air conditioner 18 Mattress or bed MODULE G: DURABLE GOODS 52 / 79 19 Mosquito net 20 Electric ironer 21 Hoe, spade or axe E ra_own.Yes.Contains(@rowcode) VARIABLE STRING ra_nametitle (@rowindex==0) ? "Cars" : (@rowindex==1) ? "Trucks" : (@rowindex==2) ? "Motorcycle /motor" : (@rowindex==3) ? "Rickshaw" : (@rowindex==4) ? "Bicycle" : (@rowindex==5 ) ? "Canoe or boat" : (@rowindex==6) And 519 other symbols [27] VARIABLE STRING ra_namels (@rowcode==1) ? "car" : (@rowcode==2) ? "truck" : (@rowcode==3) ? "motorcycle/moto r" : (@rowcode==4) ? "rickshaw" : (@rowcode==5) ? "bicycle" : (@rowcode==6) ? "can oe or boat" : (@rowcode= And 539 other symbols [28] VARIABLE STRING ra_namelp (@rowcode==1) ? "cars" : (@rowcode==2) ? "trucks" : (@rowcode==3) ? "motorcycles/m otors" : (@rowcode==4) ? "rickshaws" : (@rowcode==5) ? "bicycles" : (@rowcode==6) ? "canoes or boats" : (@ And 570 other symbols [29] VARIABLE LONG ra_max_s (@rowindex==0) ? 90000 : (@rowindex==1) ? 55000 : (@rowindex==2) ? 15000 : (@rowin dex==3) ? 9000 : (@rowindex==4) ? 2000 : (@rowindex==5) ? 5000 : (@rowindex==6) ? 6000 : (@rowindex==7) ? 7000 : (@row And 295 other symbols [30] VARIABLE DOUBLE ra_max_h (@rowindex==0) ? 0.01 : (@rowindex==1) ? 0.01 : (@rowindex==2) ? 0.01 : (@rowindex ==3) ? 0.01 : (@rowindex==4) ? 0.01 : (@rowindex==5) ? 0.01 : (@rowindex==6) ? 0.0 1 : (@rowindex==7) ? 0.01 : (@rowind And 296 other symbols [31] G.2 How many %ra_namelp% does your household own in total NUMERIC: INTEGER ra_owntotal today? V1 self.InRange(0,999) M1 Please enter a number that is lower than 1000. This should be the number of %rostertitle% that the hou sehold owns. G.3 You have entered a high number: %ra_owntotal% %ra_namels%. SINGLE-SELECT ra_owntotal_high Confirm that this is accurate or go back and edit. Analysts will follow 01 Yes up. 00 No E ra_owntotal>assets[@rowcode].max_h && ra_owntotal>0 G.4 What year did the household buy the newest %ra_namels%? NUMERIC: INTEGER ra_ynew I Please enter a four-digit year. V1 self<2018 M1 Year should be before 2018. G.5 What was the price for this newest %ra_namels%? NUMERIC: INTEGER ra_prnew G.5 Currency SINGLE-SELECT ra_prnew_curr 01 Sudanese Pound 02 USD 03 Other (please specify) G.5 Please specify the currency TEXT ra_prnew_sp E ra_prnew_curr==3 G.5 Are you sure the price was zero? SINGLE-SELECT ra_prnewzero E ra_prnew==0 01 Yes 00 No G.6 Did your household receive any of these %ra_namelp% for free SINGLE-SELECT ra_free_yn (instead of purchasing)? 01 Yes 00 No -98 Don't know -99 Refused to respond G.7 Where did you receive most of the free %ra_namelp% from? SINGLE-SELECT ra_free_main E ra_free_yn==1 0001 From friends or relatives (gift) 0002 From NGOs 0003 From church 0004 From government 1000 Other (please specify) -0098 Don't know -0099 Refused to respond G.8 Did your household get the majority for free? SINGLE-SELECT ra_free_maj E ra_free_yn==1 01 Yes 00 No Don't know 53 / 79 MODULE G: DURABLE GOODS -98 Don't know -99 Refused to respond G.8 Please specify from where. TEXT ra_free_other E ra_free_main==1000 G.9 How much money would you get if you sold the newest NUMERIC: INTEGER ra_sellnew %ra_namels% today? G.9 Currency SINGLE-SELECT ra_sellnew_curr E IsAnswered(ra_sellnew) 01 Sudanese Pound 02 USD 03 Other (please specify) G.9 Please specify the currency TEXT ra_sellnew_sp E ra_sellnew_curr==3 G.9 Are you sure the price would be zero? SINGLE-SELECT ra_sellnewzero E ra_sellnew==0 01 Yes 00 No G.10 How much money would you get if you sold all of the NUMERIC: INTEGER ra_sellall household's %ra_namelp% today? E ra_owntotal>1 G.10 Currency SINGLE-SELECT ra_sellall_curr E IsAnswered(ra_sellall) 01 Sudanese Pound 02 USD 03 Other (please specify) G.10 Please specify the currency TEXT ra_sellall_sp E ra_sellall_curr==3 G.10 Are you sure the price would be zero? SINGLE-SELECT ra_sellallzero E ra_sellall==0 01 Yes 00 No G.12 Did anyone in your household own the items listed below MULTI-SELECT: YES/NO ra_own_prev before the displacement from your original place of residence. 01 / Cars Please record yes or no for each of the items listed below. 02 / Trucks V1 self.Yes.Length + self.No.Length == 21 03 / Motorcycle/motor M1 Please record yes or no for each of the items. 04 / Rickshaw 05 / Bicycle 06 / Canoe or boat 07 / Plough 08 / Television 09 / Satellite dish 10 / DVD or CD player 11 / Radio or transistor 12 / Mobile phone 13 / Computer or laptop 14 / Refrigerator 15 / Washing machine 16 / Fan And 5 other [28] MODULE G: DURABLE GOODS Roster: MODULE G: DURABLE GOODS generated by fixed list ra_assets_prev 01 Cars 02 Trucks 03 Motorcycle/motor 04 Rickshaw 05 Bicycle 06 Canoe or boat 07 Plough 08 Television 09 Satellite dish 10 DVD or CD player 11 Radio or transistor 12 Mobile phone 13 Computer or laptop 14 Refrigerator 15 Washing machine MODULE G: DURABLE GOODS 54 / 79 16 Fan 17 Air cooler or air conditioner 18 Mattress or bed 19 Mosquito net 20 Electric ironer 21 Hoe, spade or axe E ra_own_prev.Yes.Contains(@rowcode) VARIABLE STRING ra_namels_prev (@rowcode==1) ? "car" : (@rowcode==2) ? "truck" : (@rowcode==3) ? "motorcycle/moto r" : (@rowcode==4) ? "rickshaw" : (@rowcode==5) ? "bicycle" : (@rowcode==6) ? "can oe or boat" : (@rowcode= And 539 other symbols [32] VARIABLE STRING ra_namelp_prev (@rowcode==1) ? "cars" : (@rowcode==2) ? "trucks" : (@rowcode==3) ? "motorcycles/m otors" : (@rowcode==4) ? "rickshaws" : (@rowcode==5) ? "bicycles" : (@rowcode==6) ? "canoes or boats" : (@ And 570 other symbols [33] G.13 How many %ra_namelp_prev% did your household have before NUMERIC: INTEGER ra_prev displacement? (This can be zero.) V1 self.InRange(0,999) M1 Please enter a number that is lower than 1000. This should be the number of %rostertitle% that the hou sehold owns. When you are finished, end the module by pressing 'Tab to record DATE: CURRENT TIME todayG_e current time' MODULE H: WELLBEING AND OPINIONS Please begin by pressing 'Tab to record current time' DATE: CURRENT TIME todayH_b H.1 Is %hhr_id% still the main respondent? SINGLE-SELECT hhr_same 01 Yes 00 No Please select the main respondent for this section. Hint: If you are SINGLE-SELECT: LINKED hhr_id_perc talking to two people, you have to decide who is the main respondent for this interview. I The respondent has to be a person who is at least 15 years old. You will only be shown household memb ers who are at least 15 years old. F hhm_age>14 E hhr_same==0 MODULE H: WELLBEING AND OPINIONS RISK ATTITUDE STATIC TEXT I will now give you some scenarios and will like to know what you will do in those situations. H.2 Imagine you have a choice between the following two options. SINGLE-SELECT beh_time_mon OPTION 1: You receive 1000 Sudanese Pound today. OPTION 2: You 01 1000 Sudanese Pounds today receive 2000 Sudanese Pound in 1 month. Which do you prefer? 02 2000 Sudanese Pounds in 1 month H.3 Imagine you have a choice between the following two options. SINGLE-SELECT beh_time_mon_more OPTION 1: You receive 1000 Sudanese Pound today. OPTION 2: You 01 1000 Sudanese Pounds today receive 2500 Sudanese Pound in 1 month. Which do you prefer? 02 2500 Sudanese Pounds in 1 month E beh_time_mon == 1 H.4 Imagine you have a choice between the following two options. SINGLE-SELECT beh_time_mon_less OPTION 1: You receive 1000 Sudanese Pound today. OPTION 2: You 01 1000 Sudanese Pounds today receive 1500 Sudanese Pound in 1 month. Which do you prefer? 02 1500 Sudanese Pounds in 1 month E beh_time_mon == 2 H.5 Imagine you have a choice between the following two options. SINGLE-SELECT beh_time_yr OPTION 1: You receive 1000 Sudanese Pounds in 1 year. OPTION 2: 01 1000 Sudanese Pounds in 1 year You receive 2000 Sudanese Pounds in 1 year and 1 month. Which do 02 2000 Sudanese Pounds in 1 year and 1 month you prefer? H.6 Imagine you have a choice between the following two options. SINGLE-SELECT beh_time_yr_more OPTION 1: You receive 1000 Sudanese Pounds in 1 year. OPTION 2: 01 1000 Sudanese Pounds in 1 year You receive 2500 Sudanese Pounds in 1 year and 1 month. Which do 02 2500 Sudanese Pounds in 1 year and 1 month you prefer? E beh_time_yr == 1 MODULE H: WELLBEING AND OPINIONS 55 / 79 H.7 Imagine you have a choice between the following two options. SINGLE-SELECT beh_time_yr_less OPTION 1: You receive 1000 Sudanese Pounds in 1 year. OPTION 2: 01 1000 Sudanese Pounds in 1 year You receive 1500 Sudanese Pounds in 1 year and 1 month. Which do 02 1500 Sudanese Pounds in 1 year and 1 month you prefer? E beh_time_yr == 2 H.11 Imagine you have a choice between the following two options. SINGLE-SELECT beh_time_risk OPTION 1: You receive 5000 Sudanese Pounds today. OPTION 2: You 01 You receive 5000 Sudanese Pounds today receive 1000 Sudanese Pounds every month for the next 5 months. 02 You receive 1000 Sudanese Pounds every Which do you prefer? month for the next 5 months. H.12 Suppose you want to invest some money. You have two SINGLE-SELECT beh_risk_bus options. OPTION 1: Investing in a business where you can't lose 01 Investing in a business where I can't lose money but has low profits. OPTION 2: Investing in a business where money but has low profits there is a small chance of losing money but potentially brings high 02 Investing in a business where there is a small profits. Which do you prefer? chance I can lose money but potentially bring high profits H.13 Generally speaking, would you say that most people can be SINGLE-SELECT beh_trust trusted or that you need to be very careful in dealing with people? 01 Most people can be trusted 02 Need to be very careful H.14 How much control do you feel you have over your life? SINGLE-SELECT life_control 01 No control 02 Some control 03 A great deal of control 04 Complete control -98 Don't know -99 Refused to respond STATIC TEXT I would now like to ask you a few questions about your views and perceptions of your current situation, as well as the situation in Sudan. MODULE H: WELLBEING AND OPINIONS PERSONAL LIVING CONDITIONS STATIC TEXT The following two questions ask you to please imagine a ladder with steps numbered from 0 at the bottom to 10 at the top. The top of the ladder represents the best possible life for you and the bottom of the ladder represents the worst possible life for you. H.15 Overall, how satisfied are you with your life these days? SINGLE-SELECT satisf_life 10 10 (completely satisfied) I Please state how satisfied you feel, on a scale from 0 to 10. 0 means you feel “not at all satisfied” and 10 means you feel “completely satisfied”. 09 9 08 8 07 7 06 6 05 5 04 4 03 3 02 2 01 1 00 0 (not satisfied at all) H.16 Overall, how satisfied were you with your life before SINGLE-SELECT satisf_prev displacement? 10 10 (completely satisfied) I Please state how satisfied you feel, on a scale from 0 to 10. 0 means you feel “not at all satisfied” and 10 09 9 means you feel “completely satisfied”. 08 8 07 7 06 6 05 5 04 4 03 3 02 2 01 1 00 0 (not satisfied at all) STATIC TEXT Now I will like to know whether you agree or disagree with the following statements using the scale provided. H.17 I am satisfied with my life. SINGLE-SELECT agree_satisfied I Please read response options to the respondent. Select one. 01 Strongly agree 02 Agree 03 Slightly agree 04 Neither agree nor disagree 05 Slightly disagree 06 Disagree 07 Strongly disagree -98 Don't know -99 Refused to respond H.23 In general, how would you describe your own personal living SINGLE-SELECT rate_personal conditions today? (Personal living conditions here are your 01 Very good assessment of the state of your life) 02 Fairly good I Please read response options to the respondent. Select one. 03 Neither good nor bad 04 Fairly bad Very bad 56 / 79 MODULE H: WELLBEING AND OPINIONS 05 Very bad -98 Don't know -99 Refused to respond H.25 Looking ahead, would you expect your own personal living SINGLE-SELECT rate_personal_future conditions to be better or worse in three months' time? 01 Much better 02 Better 03 The same 04 Worse 05 Much worse -98 Don't know -99 Refused to respond H.24 Please think for a moment about the health clinic that you and SINGLE-SELECT health_satisfaction your family most often use. Overall, how satisfied are you with the 01 Very satisfied quality of care? 02 Somewhat satisfied 03 Neither satisfied nor dissatisfied 04 Somewhat dissatisfied 05 Very dissatisfied -98 Don't know -99 Refused to respond I.3 [If any members of the household are in primary school]: Overall, SINGLE-SELECT school_satisfaction how satisfied are you with the quality of primary education? 00 No member of the household is going to primary school 01 Very satisfied 02 Somewhat Satisfied 03 Neither satisfied nor dissatisfied 04 Somewhat dissatisfied 05 Very dissatisfied -98 Don't know -99 Refused to respond H.28 How satified are you with the livelihood/employment SINGLE-SELECT empl_satisfaction opportunities available to you and your household members? 01 Very satisfied 02 Somewhat Satisfied 03 Neither satisfied nor dissatisfied 04 Somewhat dissatisfied 05 Very dissatisfied -98 Don't know -99 Refused to respond H.33 How do you rate your relations with your neighbors and the SINGLE-SELECT dec13compare_neighbreelate community? 01 Very good I Please read response options to the respondent. Select one. 02 Fairly good 03 Neither good nor bad 04 Fairly bad 05 Very bad -98 Don't know -99 Refused to respond H.34 How would you rate your relations with your neighbors and SINGLE-SELECT compare_neighborrelate_disp the community you lived in before displacement? 01 Very good I Please read response options to the respondent. Select one. 02 Fairly good 03 Neither good nor bad 04 Fairly bad 05 Very bad -98 Don't know -99 Refused to respond Tell me if you agree with this statement: IDPs and locals of the area SINGLE-SELECT idp_relations have good relations with each other. 01 Strongly agree 02 Slightly agree 03 Neither agree nor disagree 04 Slightly disagree 05 Strongly disagree Tell me if you agree with this statement: IDPs receive strong SINGLE-SELECT idp_support support from government authorities and aid organizations in this 01 Strongly agree area. 02 Slightly agree 03 Neither agree nor disagree 04 Slightly disagree 05 Strongly disagree Tell me if you agree with the statement: IDPs in this area have SINGLE-SELECT idp_compensation received compensation for the violations suffered and property and 01 Strongly agree assets lost due to conflict. 02 Slightly agree 03 Neither agree nor disagree 04 Slightly disagree 05 Strongly disagree Tell me if you agree with this statement: Most people in this SINGLE-SELECT idp_relations2 community want IDPs to return to their homes. 01 Strongly agree E migr_idp == 0 02 Slightly agree 03 Neither agree nor disagree 04 Slightly disagree 05 Strongly disagree MODULE H: WELLBEING AND OPINIONS 57 / 79 Tell me if you agree with this statement: The arrival of IDPs has SINGLE-SELECT idp_jobs made it more difficult for people in this community to find work. 01 Strongly agree 02 Slightly agree 03 Neither agree nor disagree 04 Slightly disagree 05 Strongly disagree Tell me if you agree with this statement: The arrival of IDPs has SINGLE-SELECT idp_sec brought insecurity to the area. 01 Strongly agree 02 Slightly agree 03 Neither agree nor disagree 04 Slightly disagree 05 Strongly disagree Tell me if you agree with this statement: The arrival of IDPs in this SINGLE-SELECT idp_access area has made it more difficult for people in this community to 01 Strongly agree access services such as education and health care. 02 Slightly agree 03 Neither agree nor disagree 04 Slightly disagree 05 Strongly disagree MODULE H: WELLBEING AND OPINIONS THE ECONOMIC CONDITIONS OF SUDAN STATIC TEXT Please answer the following questions on the economic conditions of Sudan. Hint: Economic conditions here means the total wealth of the country. H.37 In general, how would you describe the present economic SINGLE-SELECT rate_economic condition of Sudan? 01 Very good I Please read response options to the respondent. Select one. 02 Fairly good 03 Neither good nor bad 04 Fairly bad 05 Very bad -98 Don't know -99 Refused to respond H.38 Looking back, how do you rate the economic conditions in SINGLE-SELECT rate_economic_past3m Sudan compared to three months ago? 01 Much better I Please read response options to the respondent. Select one. 02 Better 03 The same 04 Worse 05 Much worse -98 Don't know -99 Refused to respond H.39 Looking ahead, would you expect the economic conditions in SINGLE-SELECT rate_economic_future Sudan to be better or worse in three months' time? 01 Much better I Please read response options to the respondent. Select one. 02 Better 03 The same 04 Worse 05 Much worse -98 Don't know -99 Refused to respond H.40 When thinking about the future of Sudan, which of the SINGLE-SELECT fear_future following do you fear the most? 0001 Civil war and conflict I Please read response options to the respondent. Select one. 0021 Bad economy 0022 Lack of jobs 0023 Poverty 0003 Political disintegration 0004 Insecurity 0005 Corruption 0006 Ethnic tension and violence 0007 No opportunities for youth 0008 Health and disease problems 0009 No oil production 0099 None of these 1000 Other (Please specify) -0098 Don't know -0099 Refused to respond H.40 Please specify what you fear most about the future of Sudan? TEXT fear_future_spec E fear_future==1000 MODULE H: WELLBEING AND OPINIONS THE GOVERNMENT OF SUDAN STATIC TEXT How well or badly would you rate the government's performance in handling the following economic and infrastructure matters? H.41 Improving the living standards of the poor SINGLE-SELECT living_standards_poor I Please read response options to the respondent. Select one. 01 Very good 02 Fairly good 03 Neither good nor bad Fairly bad 58 / 79 MODULE H: WELLBEING AND OPINIONS 04 Fairly bad 05 Very bad -98 Don't know -99 Refused to respond H.42 Creating jobs SINGLE-SELECT creating_jobs 01 Very good I Please read response options to the respondent. Select one. 02 Fairly good 03 Neither good nor bad 04 Fairly bad 05 Very bad -98 Don't know -99 Refused to respond H.43 Keeping prices down SINGLE-SELECT prices_down I Please read response options to the respondent. Select one. 01 Very good 02 Fairly good 03 Neither good nor bad 04 Fairly bad 05 Very bad -98 Don't know -99 Refused to respond H.44 Fighting corruption in government SINGLE-SELECT fighting_corruption I Please read response options to the respondent. Select one. 01 Very good 02 Fairly good 03 Neither good nor bad 04 Fairly bad 05 Very bad -98 Don't know -99 Refused to respond H.45 Maintaining roads and bridges SINGLE-SELECT maintaing_roads_brigdges I Please read response options to the respondent. Select one. 01 Very good 02 Fairly good 03 Neither good nor bad 04 Fairly bad 05 Very bad -98 Don't know -99 Refused to respond H.46 Providing a reliable supply of electricity SINGLE-SELECT reliable_electricity 01 Very good I Please read response options to the respondent. Select one. 02 Fairly good 03 Neither good nor bad 04 Fairly bad 05 Very bad -98 Don't know -99 Refused to respond H.47 Providing water and sanitation services SINGLE-SELECT water_sanitation I Please read response options to the respondent. Select one. 01 Very good 02 Fairly good 03 Neither good nor bad 04 Fairly bad 05 Very bad -98 Don't know -99 Refused to respond H.61 If something gets stolen or you have a dispute, who do you SINGLE-SELECT dispute_resolve usually seek assistance from to resolve the dispute? 0001 Senior family member I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. 0002 Senior tribe member 0003 Village chief 0004 Church leader 0005 Police 0006 Military 0007 Formal court system 0008 Neighbour 1000 Other (please specify) -0098 Don't know -0099 Refused to respond H.61 Please specify who else you would seek assistance from to TEXT dispute_resolve_spec resolve your dispute? E dispute_resolve==1000 H.62 Why don't you go to the police? SINGLE-SELECT dispute_resolve_police I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. 01 Too expensive E dispute_resolve!=5 && dispute_resolve!=-98 && dispute_resolve!=-99 02 Unreliable 03 Creates more problems 04 They don’t help 05 Don’t trust police 06 The police are corrupt 07 No police station nearby -98 Don't know -99 Refused to respond MODULE H: WELLBEING AND OPINIONS 59 / 79 MODULE H: WELLBEING AND OPINIONS FREEDOM OF MOVEMENT AND SAFETY STATIC TEXT Please answer the following questions about how safe you feel. H.63 Do you feel free to move in and out of this area whenever you SINGLE-SELECT move_free choose? 01 Yes 00 No H.63 In general, how safe from crime and violence do you feel when SINGLE-SELECT safe_violence you are alone at home? 01 Very safe I Please read response options to the respondent. Select one. 02 Moderately safe 03 Neither safe nor unsafe 04 Moderately unsafe 05 Very unsafe -98 Don't know -99 Refused to respond H.64 How safe do you feel when walking around alone after dark? SINGLE-SELECT safe_walking_night I For PoC residents, this means walking outside the PoC. Please read response options to the respondent. 01 Very safe Select one. 02 Moderately safe 03 Neither safe nor unsafe 04 Moderately unsafe 05 Very unsafe -98 Don't know -99 Refused to respond H.65 How safe do you feel walking around during the day? SINGLE-SELECT safe_walking_day 01 Very safe I For PoC residents, this means walking outside the PoC. Please read response options to the respondent. Select one. 02 Moderately safe 03 Neither safe nor unsafe 04 Moderately unsafe 05 Very unsafe -98 Don't know -99 Refused to respond H.66 Did anyone in your household or yourself experience the MULTI-SELECT: YES/NO conf_nonphys_harm following in the last 6 months? 01 / Was verbally insulted but not threatened I Read the complete list and record yes or no for each option. 02 / Was verbally threatened V1 self.Yes.Length + self.No.Length == 10 03 / Was threatened with knife, gun or other type of M1 Please record yes or no for each option. weapon 04 / Was sexually harassed 06 / Was extorted for money or other goods 07 / Was robbed 08 / Was kidnapped / abducted 09 / Forced to join armed forces (government or opposition) 10 / Was discriminated against STATIC TEXT This is the end of Module H. When you are finished, end the module by pressing 'Tab to record DATE: CURRENT TIME todayH_e current time' MODULE I: CONFLICT AND DISPLACEMENT Please begin by pressing 'Tab to record current time' DATE: CURRENT TIME todayI_b MODULE I: CONFLICT AND DISPLACEMENT DISPLACEMENT E migr_idp==1 I.16 What was your households' last place of permanent residence SINGLE-SELECT disp_from before displacement? 01 A different location in the same district I Please read response options to the respondent. Select one. 02 A different location in the same state 03 A different state in Sudan 06 Outside Sudan -98 Don't know -99 Refused to respond I.17 In which state was your household's last place of permanent SINGLE-SELECT disp_from_s residence before displacement? 01 Al Qadarif I Please read response options to the respondent. Select one. 02 Al Jazirah E disp_from==5 03 Sennar 04 White Nile (An Nil al Abyad) 05 Blue Nile State 06 Central Darfur (Wasat Darfur) East Darfur (Sharq Darfur) 60 / 79 MODULE I: CONFLICT AND DISPLACEMENT 07 East Darfur (Sharq Darfur) 08 North Darfur (Shamal Darfur) 09 South Darfur (Janub Darfur) 10 West Darfur (Gharb Darfur) 11 Kassala (Ash Sharqiyah) 12 Red Sea (Al Bahr al Ahmar) 13 North Kurdufan (Shamal Kurdufan) 14 South Kordofan 15 West Kurdufan (Gharb Kurdufan) 16 Northern (Ash Shamaliyah) And 2 other [29] I.18 Which country or region did you live in before displacement? SINGLE-SELECT disp_from_region E disp_from==6 00 South Sudan 01 Ethiopia 02 Kenya 03 Uganda 04 Demoratic Republic of the Congo 05 Central African Republic 06 Other country in East Africa 07 Southern Africa 08 West Africa 09 North Africa 10 Europe 11 Australia 12 Asia 13 North America 14 South America -98 Don't know And 1 other [30] I.19 When were you displaced from your last place of permanent DATE disp_date residence? V1 self<=my_date M1 The date should be before the current date. I.20 Why did your household leave your last place of permanent SINGLE-SELECT disp_reason residence before displacement? 0001 Armed conflict I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. 0002 Increased crime, violence and insecurity but not armed conflict 0003 Ethnic/political/religious discrimination and persecutions 0004 Drought/famine/flood 0005 Lack of access to home/land/livestock 0006 Lack of access to education services and health services 0007 Lack of employment opportunities 0008 Death of husband/family reasons 0009 IDP relocation program 1000 Other reasons (specify) -0098 Don't know -0099 Refused to respond I.20 Specify the main reason your household left your last place of TEXT disp_reason_spec permanent residence? E disp_reason == 1000 I.20 Please tell me more about the armed conflict. Was the conflict in SINGLE-SELECT disp_reason_conflict your village or nearby villages? 01 Armed conflict in my village I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. 02 Armed conflict in nearby villages E disp_reason==1 I.21 How many times has your household changed residence after NUMERIC: INTEGER disp_site being displaced from the original place of residence? I.22 What was the main reason for you to leave the place you were SINGLE-SELECT disp_site_reason staying in before coming to this place? 0001 Armed conflict I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. 0002 Increased crime, violence and insecurity but E disp_site > 1 not armed conflict 0003 Ethnic/political/religious discrimination and persecutions 0004 Drought/famine/flood 0005 Lack of access to home/land/livestock 0006 Lack of access to education services and health services 0007 Lack of employment opportunities 0008 Death of husband/family reasons 0009 IDP relocation program 0010 Lack of aid 0011 Lack of proper management of the site/ site was crowded 0012 Tensions with the host community 1000 Other reasons (specify) -0098 Don't know -0099 Refused to respond MODULE I: CONFLICT AND DISPLACEMENT 61 / 79 I.22 Please specify the main reason you left the place you were TEXT disp_site_reason_sp staying in before coming to this place. E disp_site_reason == 1000 I.23 When did the first members of your household arrive in the DATE disp_arrive_date current location? V1 self<=my_date M1 The date should be before the current date I.24 Why did you choose to stay in this place? SINGLE-SELECT disp_arrive_reason I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. 0001 Better security 0002 Better access to home/land/livestock 0003 Better access to education and health services 0004 Better access to livelihood/employment opportunities 0005 To join family / family reasons 0006 I knew people who are settled in this place 0007 Access to humanitarian aid (particularly food and water) 1000 Other reasons (specify) -0098 Don't know -0099 Refused to respond I.24 Please specify the main reason you chose to stay in this place. TEXT disp_arrive_reason_spec E disp_arrive_reason== 1000 I.26 With whom did you arrive at this location? SINGLE-SELECT disp_arrive_with I Please read out response options. Select one. 01 Alone 02 With my family 03 With a larger group -98 Don’t know -99 Refused to respond I.29 Are you able to contact relatives or community members left SINGLE-SELECT disp_hhm_athome_contact behind at your original place of residence? 01 Yes 00 No I.30 Have you or your household members ever gone back to your SINGLE-SELECT disp_temp_return original place of residence after your displacement? 01 Yes 00 No I.31 How many times have you or your household members gone NUMERIC: INTEGER disp_temp_return_n back to your original place of residence since being displaced? E disp_temp_return==1 I.32 For what purpose did you go back to your original place of SINGLE-SELECT disp_temp_return_reason residence? 0001 To visit household members/ relatives left I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. behind E disp_temp_return==1 0002 To check the status of property 0003 For planting and harvesting 0004 For income generation through business or trade 0005 To gather information about the situation 0006 To return and settle back 1000 Other (Specify) -0098 Don't know -0099 Refused to respond I.32 Please specify the reason you went back to your original place TEXT disp_temp_return_reason_s of residence? E disp_temp_return_reason==1000 I.40 Where are most other people who were displaced from your SINGLE-SELECT disp_comm_loc place of origin now living? 01 In the same district as this I Please read response options to the respondent. Select one. 02 In the same state as this 05 A different state in Sudan 06 Outside Sudan -98 Don't know -99 Refused to respond I.41 Did you or any of the household members lose any legal SINGLE-SELECT legal_id_disp documents in the course of displacement? 01 Yes E migr_idp == 1 00 No -98 Don't know -99 Refused to respond I.42 Do you or the household members have access to mechanisms SINGLE-SELECT legal_id_access_disp to obtain new documents or replace lost documents? 01 Yes 00 No -98 Don't know -99 Refused to respond I.42 Do you or the household members have access to mechanisms SINGLE-SELECT legal_access_disp to obtain compensation for violations suffered and property and 01 Yes assets lost due to conflict and displacement? 00 No Don't know 62 / 79 MODULE I: CONFLICT AND DISPLACEMENT -98 Don't know -99 Refused to respond I.45 Did you have to give money or goods in order to secure a SINGLE-SELECT disp_shelterpay specific shelter here? 01 Yes 00 No I.46 Who did you give money or goods to? Select all that apply. MULTI-SELECT disp_shelterpay_who I Do not read response options to the respondent. Select all that apply. If unsure, ask a follow up question 0001 Government authorities . 0002 Military E disp_shelterpay==1 0003 Community organization or gang (gatekeepers) 0004 Tribal authorities 0005 NGO or UN personnel 1000 Other -0098 Don’t know -0099 Refused to respond I.44 Do you feel free to move in and out of this area whenever you SINGLE-SELECT disp_movefree choose? 01 Yes 00 No I.46 Please specify who did you give money or goods to? TEXT disp_shelterpay_who_spec E disp_shelterpay_who.Contains(1000) I.47 What did you give them? Select all that apply. MULTI-SELECT disp_shelterpay_what 0001 Food I Do not read response options to the respondent. Select all that apply. If unsure, ask a follow up question . 0002 Assets E disp_shelterpay==1 0003 Money 0004 Labor 1000 Other -0098 Don’t know -0099 Refused to respond I.47 Please specify what you give them. TEXT disp_shelterpay_what_spec E disp_shelterpay_what.Contains(1000) MODULE I: CONFLICT AND DISPLACEMENT MOVEMENT AND RETURN I.48 Do you want to leave this location? SINGLE-SELECT move_want_yn 01 Yes 00 No I.48 Do you plan to return to your original place of residence or go SINGLE-SELECT move_want to a new location? 01 I plan to return to my original place of E move_want_yn==1 residence 02 I plan to go to a new area -98 Don't know -99 Refused to respond I.49 If you decided to leave this location, when do you think you will SINGLE-SELECT move_want_time start relocating? 01 In less than 6 months I Do not read options. Select one. 02 In 6 to 12 months E move_want_yn == 1 03 In more than 12 months 04 Don't know yet I.50 To which place would you like to move? SINGLE-SELECT move_to_loc I Please read response options to the respondent. Select one. 01 A new home in the same district E move_want == 2 02 A new location in the same state 05 A different state in Sudan 07 A new country -98 Don’t know -99 Refused to respond I.51 Thinking about the place where you live now, what are the three MULTI-SELECT: ORDERED move_no_push_main most important reasons you want to stay? Please start with the 0001 Better security here most important reason, then state the second most important 0002 Better access to home/land/livestock reason and then the third most important reason. 0003 Better access to education and health services I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. Please ensure t 0004 Better access to livelihood/employment hat the responses are recorded in the correct order, with 1st being the most important, 2nd being opportunities And 66 other symbols [6] 0005 To continue living with family or community E move_want_yn == 0 members / family reasons V1 move_no_push_main.Length == 3 0006 Access to humanitarian aid (particularly food M1 Please select three most important reasons. Please ensure that the responses are recorded in the corr and water) ect order, with 1st being the most important, 2nd being the second most important and 3rd being the thi 1000 Other reasons (specify) rd most important. -0098 Don't know -0099 Refused to respond I.51 Please Specify the main reason you want to stay. TEXT move_no_push_spec E move_no_push_main.Contains(1000) I.52 Thinking about the place where you would go if you needed to MULTI-SELECT: ORDERED move_no_pull_main move, what are the three main reason you don’t want to move? 0001 Armed conflict Please start with the most important reason, then state the second MODULE I: CONFLICT AND DISPLACEMENT Increased crime, violence and insecurity but 63 / 79 most important reason and then the third most important reason. 0002 Increased crime, violence and insecurity but not armed conflict in the area I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. Please ensure t 0003 Fear of ethnic/political/religious discrimination hat the responses are recorded in the correct order, with 1st being the most important, 2nd being and persecutions And 66 other symbols [7] E move_want_yn == 0 0004 Drought/famine/flood V1 self.Length == 3 0005 Lack of access to home/land/livestock M1 Please select three most important reasons. Please ensure that the responses are recorded in the corr 0006 Lack of access to education services and health ect order, with 1st being the most important, 2nd being the second most important and 3rd being the thi services rd most important. 0007 Lack of employment opportunities 0008 No family there anymore / family reasons 0009 Will lose access to humanitarian aid 1000 Other reasons (specify) -0098 Don't know -0099 Refused to respond I.52 Please specify the main reason you don't want to move. TEXT move_no_pull_spec E move_no_pull_main.Contains(1000) I.52 Please tell me more about the armed conflict in the area that SINGLE-SELECT move_no_pull_conflict you would go to if needed to move. Is the conflict in that area or 01 Armed conflict in the area nearby areas? 02 Armed conflict in surrounding areas I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. E move_no_pull_main.Contains(1) I.53 Thinking about the place where you live now, what are the three MULTI-SELECT: ORDERED move_yes_push_main main reasons you want to move? Please start with the most 0001 Armed conflict important, then state the second most important and then the third 0002 Increased crime, violence and insecurity but most important. not armed conflict in the area I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. Please ensure t 0003 Fear of ethnic/political/religious discrimination hat the responses are recorded in the correct order, with 1st being the most important, 2nd being and persecutions And 66 other symbols [8] 0004 Drought/famine/flood E move_want_yn == 1 0005 Lack of access to home/land/livestock V1 self.Length == 3 0006 Lack of access to education services and health M1 Please select three most important reasons. Please ensure that the responses are recorded in the corr services ect order, with 1st being the most important, 2nd being the second most important and 3rd being the thi 0007 Lack of employment opportunities rd most important. 0008 No family here anymore / family reasons 0009 Lack of humanitarian assistance (particularly food) 0010 Lack of proper management of the site/ site is crowded 0011 Tensions with the host community 1000 Other reasons (specify) -0098 Don't know -0099 Refused to respond I.53 Please specify the main reason you want to move. TEXT move_yes_push_spec E move_yes_push_main.Contains(1000) I.53 Please tell me more about the armed conflict here in the area SINGLE-SELECT move_yes_push_conflict you live now. Is the conflict in that area or nearby areas? 01 Armed conflict in the area I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. 02 Armed conflict in nearby areas E move_yes_push_main.Contains(1) I.54 Thinking about your place of origin, what are the three most MULTI-SELECT: ORDERED move_no_org_main important reasons you don’t want to move back? Please start with 0001 Armed conflict the most important, then state the second most important and then 0002 Increased crime, violence and insecurity but the third most important. not armed conflict in the area I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. Please ensure t 0003 Fear of ethnic/political/religious discrimination hat the responses are recorded in the correct order, with 1st being the most important, 2nd being and persecutions And 66 other symbols [9] 0004 Drought/famine/flood E move_want==2 0005 Lack of access to home/land/livestock V1 self.Length == 3 0006 Lack of access to education services and health M1 Please select three most important reasons. Please ensure that the responses are recorded in the corr services ect order, with 1st being the most important, 2nd being the second most important and 3rd being the thi 0007 Lack of employment opportunities rd most important. 0008 No family there anymore / family reasons 0009 Will lose access to humanitarian aid 1000 Other reasons (specify) -0098 Don't know -0099 Refused to respond I.54 Please specify what is the main reason you do not want to go TEXT move_no_org_main_spec back to your place of origin. E move_no_org_main.Contains(1000) I.54 Please tell me more about the armed conflict in the area of your SINGLE-SELECT move_no_org_conflict origin. Is the conflict in that area or nearby areas? 01 Armed conflict in the area of my origin I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. 02 Armed conflict in nearby areas. E move_no_org_main.Contains(1) I.55 Thinking about the place where you would go, what are the MULTI-SELECT: ORDERED move_yes_pull_main three most important reasons you want to move? Please start with 0001 Better security there the most important, then state the second most important an then 0002 Better access to home/land/livestock the third most important reason. 0003 Better access to education and health services I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. Please ensure t 0004 Better access to livelihood/employment hat the responses are recorded in the correct order, with 1st being the most important, 2nd being opportunities And 66 other symbols [10] MODULE I: CONFLICT AND DISPLACEMENT To live with family or community members / 64 / 79 E move_want_yn == 1 0005 To live with family or community members / V1 self.Length == 3 family reasons M1 Please select three most important reasons. Please ensure that the responses are recorded in the corr 0006 Access to humanitarian aid (particularly food ect order, with 1st being the most important, 2nd being the second most important and 3rd being the thi and water) rd most important. 1000 Other reasons (specify) -0098 Don't know -0099 Refused to respond I.55 Please specify the main reason you want to move. TEXT move_yes_spec E move_yes_pull_main.Contains(1000) I.56 Please tell us the most important things you need to be able to MULTI-SELECT: ORDERED move_help settle in the location of your preference. Please start with the most 0001 Security important thing, then state the next most important thing and then 0002 Mine clearance third most important thing. 0003 Access to original house/land I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. Please ensure t 0004 Provision of new shelter / housing hat the responses are recorded in the correct order, with 1st being the most important, 2nd being 0005 Access to a farm plot and / or grazing land And 66 other symbols [11] 0006 Agricultural tools & seeds / livestock V1 self.Length == 3 0007 Funds / productive assets for re-establishing M1 Please select THREE most important things the household needs to settle in the location of their prefere business nce. 0008 Skills training for job 0009 Connections for jobs 0010 Access to markets 0011 Access to educational services 0012 Access to health services 0013 Access to water and/ or sanitation 0014 Access to aid 0015 Transportation arrangement 0016 Regrouping of family And 2 other [31] I.56 Please specify the most important things you need to be able to TEXT move_help_spec settle in the location of your preference? E move_help.Contains(1000) MODULE I: CONFLICT AND DISPLACEMENT INFORMATION NEEDS I.57 What is your main source of obtaining information about the SINGLE-SELECT inf_source situation in the country? 0001 Radio I DO NOT read options to the respondent, select one. If unsure, ask a follow up question. 0002 TV 0003 Internet and social media 0004 Written for example Newspapers/magazines/ bulletins (pamphlets, brochure) 0005 Community leaders/elders 0006 Family and friends 0007 Religious leaders 0008 Politicians 0009 Charities, NGO, UN or other public organizations 0010 Site Management Committees 1000 Other (specify) -0098 Don’t know -0099 Refused to respond I.57 Please specify the main source TEXT inf_source_sp E inf_source==1000 I.58 Are there other ways in which you would prefer to obtain SINGLE-SELECT inf_source_more information about the situation in the country, but to which you do 01 Yes not have access? 00 No I.59 What are the other ways in which you would like to receive MULTI-SELECT inf_source_add information? Select all that apply. 0001 Radio I Do not read response options. Select all that apply. If unsure, ask a follow up question. 0002 TV F @optioncode!=inf_source 0003 Internet and social media E inf_source_more==1 0004 Written for example Newspapers/magazines/ V1 !(self.Contains(-98) && self.ContainsAny(-99,1,2,3,4,5,6,7,8,9,10,1000)) bulletins (pamphlets, brochure) M1 You cannot select 'Don't know' and select an item from the list at the same time. 0005 Community leaders/elders V2 !(self.Contains(-99) && self.ContainsAny(-98,1,2,3,4,5,6,7,8,9,10,1000)) 0006 Family and friends M2 You cannot select 'Refused to respond' and select an item from the list at the same time. 0007 Religious leaders 0008 Politicians 0009 Charities, NGO, UN or other public organizations 0010 Site Management Committees 1000 Other (Please specify) -0098 Don’t know -0099 Refused to respond I.60 Please specify the other ways in which you would like to receive TEXT inf_source_add_sp information? E inf_source_add.Contains(1000) I.61 Does your household have all the information they need in SINGLE-SELECT inf_comp Yes 65 / 79 MODULE I: CONFLICT AND DISPLACEMENT order to make a decision whether to return to the place of origin, 01 Yes move to some new place, or remain here? 00 No I.62 What are the three types of information your household wants MULTI-SELECT: ORDERED inf_want that you are not currently receiving in order to make an informed 0001 Information about political situation decision whether to return to the place of origin, move to some new 0002 Information about security situation place, or remain here? Please start with the most important one. 0003 Information about security situation on transit I DO NOT read options to the respondent, select the top three options. If unsure, ask a follow up question. routes E inf_comp == 0 0004 Information about availability of basic services V1 !(self.Contains(-98) && self.ContainsAny(-99,1,2,3,4,5,6,7,8,9,10,11,1000)) (food, water, shelter, education, health, etc.) M1 You cannot select 'Don't know' and select an item from the list at the same time. 0005 Information about quality of basic services V2 !(self.Contains(-99) && self.ContainsAny(-98,1,2,3,4,5,6,7,8,9,10,11,1000)) 0006 Information about availability of work and M2 You cannot select 'Refused to respond' and select an item from the list at the same time. livelihood opportunities 0007 Information about access to land/ property/ housing 0008 Information about transport options 0009 Information about whether the household will we be able to return if we leave the camp 0010 Information about whether the household will have access to humanitarian aid on return 0011 Information about how to obtain or renew documents (identity card, birth certificate etc.) 1000 Other (specify) -0098 Don’t know -0099 Refused to respond I.63 Please specify the type of information your household wants TEXT inf_want_sp that you are not currently receiving in order to make an informed decision whether to return to the place of origin, move to some new place, or remain here E inf_want.Contains(1000) When you are finished, end the module by pressing 'Tab to record DATE: CURRENT TIME todayI_e current time' MODULE J: END OF INTERVIEW Please begin by pressing 'Tab to record current time' DATE: CURRENT TIME todayJ_b J.1 Does anyone in the household have a phone number? SINGLE-SELECT contact_phone_yn 01 Yes 00 No J.2 Is it OK if we use the phone number in case we need to do any SINGLE-SELECT contact_phone_share follow up? It will only be used by the World Bank to call you for data 01 Yes verification. 00 No E contact_phone_yn==1 J.3 Please enter the household phone number. TEXT contact_phone E contact_phone_yn==1 && contact_phone_share==1 J.4 As part of this project, we ask the people in the survey if they SINGLE-SELECT testimonial would like to give a short video statement talking about their life 01 Yes here in the camp. Would you like to give a video testimonial and 00 No share something about your life here in this camp? J.5 Thank you. Before we begin: Do you agree to be filmed knowing SINGLE-SELECT testimonial_consent that this footage will be published on a website on the internet on 01 Yes behalf of the World Bank? 00 No E testimonial==1 J.6 Please record the GPS location. GPS loc_end N W A J.7 Please confirm that the GPS does not work. SINGLE-SELECT loc_check_end E !IsAnswered(loc_end) 01 Yes 00 No When you are finished, end the module by pressing 'Tab to record DATE: CURRENT TIME todayJ_e current time' MODULE K: ENUMERATOR FEEDBACK DATE: CURRENT TIME todayK_b MODULE J: END OF INTERVIEW 66 / 79 Please begin by pressing 'Tab to record current time' K.1 During which visit was the interview successful? SINGLE-SELECT success_interview 01 First visit 02 Second visit 03 Third visit K.2 Did you ask all questions to the same main respondent? SINGLE-SELECT same_respondent 01 Yes 00 No K.3 Who answered you for the last module? SINGLE-SELECT: LINKED respondent_name F hhm_age>14 E same_respondent == 0 K.4 Was someone from the household immediately present during SINGLE-SELECT privacy the interview and possibly overhearing the conversation? 01 Yes 00 No K.5 Was someone external to the household immediately present SINGLE-SELECT privacy_external during the interview and possibly overhearing the conversation? 01 Yes 00 No K.6 Did the respondent ask others to assist in responding to SINGLE-SELECT respondent_multi questions? 01 Yes 00 No K.7 How do you (enumerator) describe the respondent’s attitude SINGLE-SELECT respondent_attitude toward you during the interview? 01 Friendly 02 Neutral 03 Defiant 04 Confused 05 Hostile K.8 Were there any sections in which the respondent had difficulty SINGLE-SELECT respondent_q understanding the questions? 01 Yes 00 No K.9 Which sections did the respondent have considerable difficulty MULTI-SELECT respondent_q_section understanding questions? 1000 All modules E respondent_q==1 0000 Module 0: Administrative information 0001 Module A: Interview and household information 0002 Module B: Household roster 0003 Module C: Household characteristics 0004 Module D: Food consumption 0005 Module E: Non-food consumption 0009 Module F: Livestock 0010 Module G: Durable goods 0011 Module H: Wellbeing and opinions 0012 Module H: Conflict and displacement 0013 Module J: End of interview K.10 Please type any other comments here. TEXT enum_comments When you are finished, end the module by pressing 'Tab to record DATE: CURRENT TIME todayK_e current time' MODULE J: END OF INTERVIEW 67 / 79 APPENDIX A — ENABLING CONDITIONS [1] hhh_id1: B.6 In the absence of %hhh_id0%, which household member (who has been present in the household in the last 7 days) makes most of the household decisions? Enablement Condition: // more than one adult and HHH0 was absent past week nhhm>1 && hhh_presence==0 && ( hhroster_age.Any(x=> // …only if other adults left x.hhm_age>14 && // …and not the person selected as head in hhh_id0 x.@rowcode!=hhh_id0.Last() ) ) [2] rf_lowcons: D.12 You told me that this household consumed only %rf_sum_consumed% items of bread and cereals in 7 days. This is unusually low. Are you sure? Enablement Condition: // if all items have a yes or no answer… //rf_food.All(x=>IsAnswered(x.rf_relevanceyn)) ? // then confirm that there are at least 4 “yes” answers //(rf_food.Count(x=>x.rf_relevanceyn==1 && x.catpos1==1)) >= 4 : // otherwise, show no error message //true (beh_treat_opt==1 && rf_sum_consumed<2) [3] rf_cons_low_br: D.5 You have entered a low quantity: %rf_cons_quant_br% %rf_cons_unit_br%. Confirm that this is accurate or go back and edit. Analysts will follow up. Enablement Condition: // Quantity lower than soft constraint value (rf_cons_quant_br<(food_quant[(decimal)rf_food_cons_unit_br].c_min_s)) && // But quantity larger than hard constraint value (rf_cons_quant_br>=(food_quant[(decimal)rf_food_cons_unit_br].c_min_h)) && // quantity larger than zero (rf_cons_quant_br>0) // item consumed [4] rf_cons_high_br: D.5 You have entered a high quantity: %rf_cons_quant_br% %rf_cons_unit_br%. Confirm that this is accurate or go back and edit. Analysts will follow up. Enablement Condition: (rf_cons_quant_br>(food_quant[(decimal)rf_food_cons_unit_br].c_max_s)) && (rf_cons_quant_br<=(food_quant[(decimal)rf_food_cons_unit_br].c_max_h)) && (rf_cons_quant_br>0) && ((food_quant[(decimal)rf_food_cons_unit_br].c_max_s)>0) [5] rf_purc_high_br: D.6 You have entered a high quantity: %rf_purc_quant_br% %rf_purc_unit_br%. Confirm that this is accurate or go back and edit. Analysts will follow up. Enablement Condition: (rf_purc_quant_br>(food_quant_purc[(int)rf_food_purc_unit_br].p_max_s)) && (rf_purc_quant_br<=(food_quant_purc[(int)rf_food_purc_unit_br].p_max_h)) && (rf_purc_quant_br>0) && ((food_quant_purc[(int)rf_food_purc_unit_br].p_max_s)>0) [6] rf_pric_low_br: D.8 You have entered a low price: %rf_pric_total_br% %rf_pric_total_curr_br%. Confirm that the price of purchase or the quantity purchased are accurate or go back and edit. Analysts will follow up. Enablement Condition: // price given in SSP ((rf_pric_total_curr_br==1) && ((rf_pric_total_br/rf_purc_quant_br)/food_quant_purc[(decimal)rf_food_purc_unit_br].conv2kg) < food_quant_purc[(decimal)rf_food_purc_unit_br].v_min) || // price given in USD ((rf_pric_total_curr_br==2) && ((rf_pric_total_br*120/rf_purc_quant_br)/food_quant_purc[(decimal)rf_food_purc_unit_br].conv2kg) < food_quant_purc[(decimal)rf_food_purc_unit_br].v_min) [7] rf_pric_high_br: D.8 You have entered a high price: %rf_pric_total_br% %rf_pric_total_curr_br%. Confirm that the price of purchase or the quantity purchased are accurate or go back and edit. Analysts will follow up. Enablement Condition: // price given in SSP ((rf_pric_total_curr_br==1 && ((rf_pric_total_br/rf_purc_quant_br)/food_quant_purc[(decimal)rf_food_purc_unit_br].conv2kg) > food_quant_purc[(decimal)rf_food_purc_unit_br].v_max && food_quant_purc[(decimal)rf_food_purc_unit_br].v_max > 0)) || // price given in USD ((rf_pric_total_curr_br==2 && ((rf_pric_total_br*120/rf_purc_quant_br)/food_quant_purc[(decimal)rf_food_purc_unit_br].conv2kg) > food_quant_purc[(decimal)rf_food_purc_unit_br].v_max && food_quant_purc[(decimal)rf_food_purc_unit_br].v_max > 0)) [8] rf_cons_low_m: D.15 You have entered a low quantity: %rf_cons_quant_m% %rf_cons_unit_m%. Confirm that this is accurate or go back and edit. Analysts will follow up. Enablement Condition: // Quantity lower than soft constraint value (rf_cons_quant_m<(food_quant[(decimal)rf_food_cons_unit_m].c_min_s)) && // But quantity larger than hard constraint value (rf_cons_quant_m>=(food_quant[(decimal)rf_food_cons_unit_m].c_min_h)) && // quantity larger than zero (rf_cons_quant_m>0) [9] rf_cons_high_m: D.15 You have entered a high quantity: %rf_cons_quant_m% %rf_cons_unit_m%. Confirm that this is accurate or go back and edit. Analysts will follow up. Enablement Condition: (rf_cons_quant_m>(food_quant[(decimal)rf_food_cons_unit_m].c_max_s)) && (rf_cons_quant_m<=(food_quant[(decimal)rf_food_cons_unit_m].c_max_h)) && (rf_cons_quant_m>0) && ((food_quant[(decimal)rf_food_cons_unit_m].c_max_s)>0) [10] rf_purc_high_m: D.16 You have entered a high quantity: %rf_purc_quant_m% %rf_purc_unit_m%. Confirm that this is accurate or go back and edit. Analysts will follow up. Enablement Condition: (rf_purc_quant_m>(food_quant_purc[(int)rf_food_purc_unit_m].p_max_s)) && (rf_purc_quant_m<=(food_quant_purc[(int)rf_food_purc_unit_m].p_max_h)) && (rf_purc_quant_m>0) && ((food_quant_purc[(int)rf_food_purc_unit_m].p_max_s)>0) [11] rf_pric_low_m: D.17 You have entered a low price: %rf_pric_total_m% %rf_pric_total_curr_m%. Confirm that the price of purchase or the quantity purchased are accurate or go back and edit. Analysts will follow up. Enablement Condition: // price given in SSP ((rf_pric_total_curr_m==1) && ((rf_pric_total_m/rf_purc_quant_m)/food_quant_purc[(decimal)rf_food_purc_unit_m].conv2kg) < food_quant_purc[(decimal)rf_food_purc_unit_m].v_min) || // price given in USD ((rf_pric_total_curr_m==2) && ((rf_pric_total_m*120/rf_purc_quant_m)/food_quant_purc[(decimal)rf_food_purc_unit_m].conv2kg) < food_quant_purc[(decimal)rf_food_purc_unit_m].v_min) APPENDIX A — ENABLING CONDITIONS 68 / 79 [12] rf_pric_high_m: D.17 You have entered a high price: %rf_pric_total_m% %rf_pric_total_curr_m%. Confirm that the price of purchase or the quantity purchased are accurate or go back and edit. Analysts will follow up. Enablement Condition: // price given in SSP ((rf_pric_total_curr_m==1 && ((rf_pric_total_m/rf_purc_quant_m)/food_quant_purc[(decimal)rf_food_purc_unit_m].conv2kg) > food_quant_purc[(decimal)rf_food_purc_unit_m].v_max && food_quant_purc[(decimal)rf_food_purc_unit_m].v_max > 0)) || // price given in USD ((rf_pric_total_curr_m==2 && ((rf_pric_total_m*120/rf_purc_quant_m)/food_quant_purc[(decimal)rf_food_purc_unit_m].conv2kg) > food_quant_purc[(decimal)rf_food_purc_unit_m].v_max && food_quant_purc[(decimal)rf_food_purc_unit_m].v_max > 0)) [13] rf_cons_low_f: D.23 You have entered a low quantity: %rf_cons_quant_f% %rf_cons_unit_f%. Confirm that this is accurate or go back and edit. Analysts will follow up. Enablement Condition: // Quantity lower than soft constraint value (rf_cons_quant_f<(food_quant_f_p[(decimal)rf_food_cons_unit_f].c_min_s)) && // But quantity larger than hard constraint value (rf_cons_quant_f>=(food_quant_f_p[(decimal)rf_food_cons_unit_f].c_min_h)) && // quantity larger than zero (rf_cons_quant_f>0) [14] rf_cons_high_f: D.23 You have entered a high quantity: %rf_cons_quant_f% %rf_cons_unit_f%. Confirm that this is accurate or go back and edit. Analysts will follow up. Enablement Condition: (rf_cons_quant_f>(food_quant_f_p[(decimal)rf_food_cons_unit_f].c_max_s)) && (rf_cons_quant_f<=(food_quant_f_p[(decimal)rf_food_cons_unit_f].c_max_h)) && (rf_cons_quant_f>0) && ((food_quant_f_p[(decimal)rf_food_cons_unit_f].c_max_s)>0) [15] rf_purc_high_f: D.24 You have entered a high quantity: %rf_purc_quant_f% %rf_purc_unit_f%. Confirm that this is accurate or go back and edit. Analysts will follow up. Enablement Condition: (rf_purc_quant_f>(food_quant_purc_f_p[(int)rf_food_purc_unit_f].p_max_s)) && (rf_purc_quant_f<=(food_quant_purc_f_p[(int)rf_food_purc_unit_f].p_max_h)) && (rf_purc_quant_f>0) && ((food_quant_purc_f_p[(int)rf_food_purc_unit_f].p_max_s)>0) [16] rf_pric_low_f: D.25 You have entered a low price: %rf_pric_total_f% %rf_pric_total_curr_f%. Confirm that the price of purchase or the quantity purchased are accurate or go back and edit. Analysts will follow up. Enablement Condition: // price given in SSP ((rf_pric_total_curr_f==1) && ((rf_pric_total_f/rf_purc_quant_f)/food_quant_purc_f_p[(decimal)rf_food_purc_unit_f].conv2kg) < food_quant_purc_f_p[(decimal)rf_food_purc_unit_f].v_min) || // price given in USD ((rf_pric_total_curr_f==2) && ((rf_pric_total_f*120/rf_purc_quant_f)/food_quant_purc_f_p[(decimal)rf_food_purc_unit_f].conv2kg) < food_quant_purc_f_p[(decimal)rf_food_purc_unit_f].v_min) [17] rf_pric_high_f: D.25 You have entered a high price: %rf_pric_total_f% %rf_pric_total_curr_f%. Confirm that the price of purchase or the quantity purchased are accurate or go back and edit. Analysts will follow up. Enablement Condition: // price given in SSP ((rf_pric_total_curr_f==1 && ((rf_pric_total_f/rf_purc_quant_f)/food_quant_purc_f_p[(decimal)rf_food_purc_unit_f].conv2kg) > food_quant_purc_f_p[(decimal)rf_food_purc_unit_f].v_max && food_quant_purc_f_p[(decimal)rf_food_purc_unit_f].v_max > 0)) || // price given in USD ((rf_pric_total_curr_f==2 && ((rf_pric_total_f*120/rf_purc_quant_f)/food_quant_purc_f_p[(decimal)rf_food_purc_unit_f].conv2kg) > food_quant_purc_f_p[(decimal)rf_food_purc_unit_f].v_max && food_quant_purc_f_p[(decimal)rf_food_purc_unit_f].v_max > 0)) [18] rf_cons_low_p: D.31 You have entered a low quantity: %rf_cons_quant_p% %rf_cons_unit_p%. Confirm that this is accurate or go back and edit. Analysts will follow up. Enablement Condition: // Quantity lower than soft constraint value (rf_cons_quant_p<(food_quant_f_p[(decimal)rf_food_cons_unit_p].c_min_s)) && // But quantity larger than hard constraint value (rf_cons_quant_p>=(food_quant_f_p[(decimal)rf_food_cons_unit_p].c_min_h)) && // quantity larger than zero (rf_cons_quant_p>0) [19] rf_cons_high_p: D.31 You have entered a high quantity: %rf_cons_quant_p% %rf_cons_unit_p%. Confirm that this is accurate or go back and edit. Analysts will follow up. Enablement Condition: (rf_cons_quant_p>(food_quant_f_p[(decimal)rf_food_cons_unit_p].c_max_s)) && (rf_cons_quant_p<=(food_quant_f_p[(decimal)rf_food_cons_unit_p].c_max_h)) && (rf_cons_quant_p>0) && ((food_quant[(decimal)rf_food_cons_unit_p].c_max_s)>0) [20] rf_purc_high_p: D.32 You have entered a high quantity: %rf_purc_quant_p% %rf_purc_unit_p%. Confirm that this is accurate or go back and edit. Analysts will follow up. Enablement Condition: (rf_purc_quant_p>(food_quant_purc_f_p[(int)rf_food_purc_unit_p].p_max_s)) && (rf_purc_quant_p<=(food_quant_purc_f_p[(int)rf_food_purc_unit_p].p_max_h)) && (rf_purc_quant_p>0) && ((food_quant_purc_f_p[(int)rf_food_purc_unit_p].p_max_s)>0) [21] rf_pric_low_p: D.33 You have entered a low price: %rf_pric_total_p% %rf_pric_total_curr_p%. Confirm that the price of purchase or the quantity purchased are accurate or go back and edit. Analysts will follow up. Enablement Condition: // price given in SSP ((rf_pric_total_curr_p==1) && ((rf_pric_total_p/rf_purc_quant_p)/food_quant_purc_f_p[(decimal)rf_food_purc_unit_p].conv2kg) < food_quant_purc_f_p[(decimal)rf_food_purc_unit_p].v_min) || // price given in USD ((rf_pric_total_curr_p==2) && ((rf_pric_total_p*120/rf_purc_quant_p)/food_quant_purc_f_p[(decimal)rf_food_purc_unit_p].conv2kg) < food_quant_purc_f_p[(decimal)rf_food_purc_unit_p].v_min) [22] rf_pric_high_p: D.33 You have entered a high price: %rf_pric_total_p% %rf_pric_total_curr_p%. Confirm that the price of purchase or the quantity purchased are accurate or go back and edit. Analysts will follow up. Enablement Condition: // price given in SSP ((rf_pric_total_curr_p==1 && ((rf_pric_total_p/rf_purc_quant_p)/food_quant_purc_f_p[(decimal)rf_food_purc_unit_p].conv2kg) > food_quant_purc_f_p[(decimal)rf_food_purc_unit_p].v_max && food_quant_purc_f_p[(decimal)rf_food_purc_unit_p].v_max > 0)) || // price given in USD ((rf_pric_total_curr_p==2 && ((rf_pric_total_p*120/rf_purc_quant_p)/food_quant_purc_f_p[(decimal)rf_food_purc_unit_p].conv2kg) > food_quant_purc_f_p[(decimal)rf_food_purc_unit_p].v_max && food_quant_purc_f_p[(decimal)rf_food_purc_unit_p].v_max > 0)) [23] rf_cons_low: D.38 You have entered a low quantity: %rf_cons_quant% %rf_cons_unit%. Confirm that this is accurate or go back and edit. Analysts will follow up. Enablement Condition: // Quantity lower than soft constraint value (rf_cons_quant<(food_quant_other[(decimal)rf_food_cons_unit].c_min_s)) && // But quantity larger than hard constraint value (rf_cons_quant>=(food_quant_other[(decimal)rf_food_cons_unit].c_min_h)) && // quantity larger than zero (rf_cons_quant>0) [24] rf_cons_high: D.38 You have entered a high quantity: %rf_cons_quant% %rf_cons_unit%. Confirm that this is accurate or go back and edit. Analysts will follow up. Enablement Condition: APPENDIX A — ENABLING CONDITIONS 69 / 79 (rf_cons_quant>(food_quant_other[(decimal)rf_food_cons_unit].c_max_s)) && (rf_cons_quant<=(food_quant_other[(decimal)rf_food_cons_unit].c_max_h)) && (rf_cons_quant>0) && ((food_quant_other[(decimal)rf_food_cons_unit].c_max_s)>0) [25] rf_purc_high: D.39 You have entered a high quantity: %rf_purc_quant% %rf_purc_unit%. Confirm that this is accurate or go back and edit. Analysts will follow up. Enablement Condition: (rf_purc_quant>(food_quant_purc_other[(int)rf_food_purc_unit].p_max_s)) && (rf_purc_quant<=(food_quant_purc_other[(int)rf_food_purc_unit].p_max_h)) && (rf_purc_quant>0) && ((food_quant_purc_other[(int)rf_food_purc_unit].p_max_s)>0) [26] rf_pric_low: D.40 You have entered a low price: %rf_pric_total% %rf_pric_total_curr%. Confirm that the price of purchase or the quantity purchased are accurate or go back and edit. Analysts will follow up. Enablement Condition: // price given in SSP ((rf_pric_total_curr==1) && ((rf_pric_total/rf_purc_quant)/food_quant_purc_other[(decimal)rf_food_purc_unit].conv2kg) < food_quant_purc_other[(decimal)rf_food_purc_unit].v_min) || // price given in USD ((rf_pric_total_curr==2) && ((rf_pric_total*120/rf_purc_quant)/food_quant_purc_other[(decimal)rf_food_purc_unit].conv2kg) < food_quant_purc_other[(decimal)rf_food_purc_unit].v_min) [27] rf_pric_high: D.40 You have entered a high price: %rf_pric_total% %rf_pric_total_curr%. Confirm that the price of purchase or the quantity purchased are accurate or go back and edit. Analysts will follow up. Enablement Condition: // price given in SSP ((rf_pric_total_curr==1 && ((rf_pric_total/rf_purc_quant)/food_quant_purc_other[(decimal)rf_food_purc_unit].conv2kg) > food_quant_purc_other[(decimal)rf_food_purc_unit].v_max && food_quant_purc_other[(decimal)rf_food_purc_unit].v_max > 0)) || // price given in USD ((rf_pric_total_curr==2 && ((rf_pric_total*120/rf_purc_quant)/food_quant_purc_other[(decimal)rf_food_purc_unit].conv2kg) > food_quant_purc_other[(decimal)rf_food_purc_unit].v_max && food_quant_purc_other[(decimal)rf_food_purc_unit].v_max > 0)) [28] rnf_pric_sspperkg_high: E.3 You have entered a high price: %rnf_pric_total% %rnf_pric_total_curr%. Confirm that this is accurate or go back and edit. Analysts will follow up. Enablement Condition: ((rnf_pric_total_curr==1 && rnf_pric_total>nonfooditems[@rowcode].v_max_s) & rnf_pric_total>0 & nonfooditems[@rowcode].v_max_s > 0) || ((rnf_pric_total_curr==2 && (rnf_pric_total*120)>nonfooditems[@rowcode].v_max_s) & rnf_pric_total>0 & nonfooditems[@rowcode].v_max_s > 0) APPENDIX A — ENABLING CONDITIONS 70 / 79 APPENDIX B — VALIDATION CONDITIONS AND MESSAGES [1] rf_relevanceyn_br: D.4 Over the past 7 days, did anyone in your household consume any of the items listed below. Please record yes or no for each of the items below. Validation Condition: (int)mod_opt == 1 && (self.Yes.Length + self.No.Length == 12) || (int)mod_opt == 2 && (self.Yes.Length + self.No.Length == 10)|| (int)mod_opt == 3 && (self.Yes.Length + self.No.Length == 12) || (int)mod_opt == 4 && (self.Yes.Length + self.No.Length == 13) Validation Message: Please record yes or no for each of the items. [2] rf_relevanceyn_m: D.14 Over the past 7 days, did anyone in your household consume any of the items listed below. Please record yes or no for each of the items below. Validation Condition: (int)mod_opt == 1 && (self.Yes.Length + self.No.Length == 10) || (int)mod_opt == 2 && (self.Yes.Length + self.No.Length == 14) || (int)mod_opt == 3 && (self.Yes.Length + self.No.Length == 9) || (int)mod_opt == 4 && (self.Yes.Length + self.No.Length == 8) Validation Message: Please record yes or no for each of the items. [3] rf_relevanceyn_f: D.22 Over the past 7 days, did anyone in your household consume any of the items listed below. Please record yes or no for each of the items below. Validation Condition: (int)mod_opt == 1 && (self.Yes.Length + self.No.Length == 3) || (int)mod_opt == 2 && (self.Yes.Length + self.No.Length == 3) || (int)mod_opt == 3 && (self.Yes.Length + self.No.Length == 3) || (int)mod_opt == 4 && (self.Yes.Length + self.No.Length == 4) Validation Message: Please record yes or no for each of the items. [4] rf_relevanceyn_p: D.30 Over the past 7 days, did anyone in your household consume any of the items listed below. Please record yes or no for each of the items below. Validation Condition: (int)mod_opt == 1 & (self.Yes.Length + self.No.Length == 11) || (int)mod_opt == 2 & (self.Yes.Length + self.No.Length == 12) || (int)mod_opt == 3 & (self.Yes.Length + self.No.Length == 9) || (int)mod_opt == 4 & (self.Yes.Length + self.No.Length == 11) Validation Message: Please record yes or no for each of the items. [5] rf_relevanceyn_ot: D.37 Over the past 7 days, did anyone in your household consume any of the items listed below. Please record yes or no for each of the items below. Validation Condition: (int)mod_opt == 1 && (self.Yes.Length + self.No.Length == 24) || (int)mod_opt == 2 && (self.Yes.Length + self.No.Length == 20) || (int)mod_opt == 3 && (self.Yes.Length + self.No.Length == 26)|| (int)mod_opt == 4 && (self.Yes.Length + self.No.Length == 25) Validation Message: Please record yes or no for each of the items. [6] rf_cons_unit_br: D.5 What was the unit? Validation Condition: !((rf_cons_quant_br<(food_quant[(decimal)rf_food_cons_unit_br].c_min_h)) && (rf_cons_quant_br>0)) Validation Message: You have entered a quantity that is far too low: %rf_cons_quant_br% %rf_cons_unit_br%. Go back and edit. Validation Condition: !((rf_cons_quant_br>(food_quant[(decimal)rf_food_cons_unit_br].c_max_h)) && (rf_cons_quant_br>0) && ((food_quant[(decimal)rf_food_cons_unit_br].c_max_h)>0)) Validation Message: You have entered a quantity that is far too high: %rf_cons_quant_br% %rf_cons_unit_br%. Go back and edit. Validation Condition: !(rf_cons_quant_br==0) Validation Message: You have entered that the quantity was zero. In a previous question you stated that you did consume %rostertitle%. Therefore, the quantity should not be zero. Please edit. [7] rf_purc_unit_br: D.6 What was the unit? Validation Condition: !(rf_purc_quant_br<(food_quant_purc[(long)rf_food_purc_unit_br].p_min_h) && rf_purc_quant_br>0) Validation Message: You have entered a quantity that is far too low: %rf_purc_quant_br% %rf_purc_unit_br%. Go back and edit. Validation Condition: !((rf_purc_quant_br>(food_quant_purc[(int)rf_food_purc_unit_br].p_max_h)) && (rf_purc_quant_br>0) && ((food_quant_purc[(int)rf_food_purc_unit_br].p_max_h)>0)) Validation Message: You have entered a quantity that is far too high: %rf_purc_quant_br% %rf_purc_unit_br%. Go back and edit. [8] rf_cons_unit_m: D.15 What was the unit? Validation Condition: !((rf_cons_quant_m<(food_quant[(decimal)rf_food_cons_unit_m].c_min_h)) && (rf_cons_quant_m>0)) Validation Message: You have entered a quantity that is far too low: %rf_cons_quant_m% %rf_cons_unit_m%. Go back and edit. Validation Condition: !((rf_cons_quant_m>(food_quant[(decimal)rf_food_cons_unit_m].c_max_h)) && (rf_cons_quant_m>0) && ((food_quant[(decimal)rf_food_cons_unit_m].c_max_h)>0)) Validation Message: You have entered a quantity that is far too high: %rf_cons_quant_m% %rf_cons_unit_m%. Go back and edit. Validation Condition: !(rf_cons_quant_m==0) Validation Message: You have entered that the quantity was zero. In a previous question you stated that you did consume %rostertitle%. Therefore, the quantity should not be zero. Please edit. [9] rf_purc_unit_m: D.16 What was the unit? Validation Condition: !(rf_purc_quant_m<(food_quant_purc[(long)rf_food_purc_unit_m].p_min_h) && rf_purc_quant_m>0) Validation Message: You have entered a quantity that is far too low: %rf_purc_quant_m% %rf_purc_unit_m%. Go back and edit. Validation Condition: !((rf_purc_quant_m>(food_quant_purc[(int)rf_food_purc_unit_m].p_max_h)) && (rf_purc_quant_m>0) && ((food_quant_purc[(int)rf_food_purc_unit_m].p_max_h)>0)) Validation Message: You have entered a quantity that is far too high: %rf_purc_quant_m% %rf_purc_unit_m%. Go back and edit. [10] rf_cons_unit_f: D.23 What was the unit? APPENDIX B — VALIDATION CONDITIONS AND MESSAGES 71 / 79 Validation Condition: !((rf_cons_quant_f<(food_quant_f_p[(decimal)rf_food_cons_unit_f].c_min_h)) && (rf_cons_quant_f>0)) Validation Message: You have entered a quantity that is far too low: %rf_cons_quant_f% %rf_cons_unit_f%. Go back and edit. Validation Condition: !((rf_cons_quant_f>(food_quant_f_p[(decimal)rf_food_cons_unit_f].c_max_h)) && (rf_cons_quant_f>0) && ((food_quant_f_p[(decimal)rf_food_cons_unit_f].c_max_h)>0)) Validation Message: You have entered a quantity that is far too high: %rf_cons_quant_f% %rf_cons_unit_f%. Go back and edit. Validation Condition: !(rf_cons_quant_f==0) Validation Message: You have entered that the quantity was zero. In a previous question you stated that you did consume %rostertitle%. Therefore, the quantity should not be zero. Please edit. [11] rf_purc_unit_f: D.24 What was the unit? Validation Condition: !(rf_purc_quant_f<(food_quant_purc_f_p[(long)rf_food_purc_unit_f].p_min_h) && rf_purc_quant_f>0) Validation Message: You have entered a quantity that is far too low: %rf_purc_quant_f% %rf_purc_unit_f%. Go back and edit. Validation Condition: !((rf_purc_quant_f>(food_quant_purc_f_p[(int)rf_food_purc_unit_f].p_max_h)) && (rf_purc_quant_f>0) && ((food_quant_purc_f_p[(int)rf_food_purc_unit_f].p_max_h)>0)) Validation Message: You have entered a quantity that is far too high: %rf_purc_quant_f% %rf_purc_unit_f%. Go back and edit. [12] rf_cons_unit_p: D.31 What was the unit? Validation Condition: !((rf_cons_quant_p<(food_quant_f_p[(decimal)rf_food_cons_unit_p].c_min_h)) && (rf_cons_quant_p>0)) Validation Message: You have entered a quantity that is far too low: %rf_cons_quant_p% %rf_cons_unit_p%. Go back and edit. Validation Condition: !((rf_cons_quant_p>(food_quant_f_p[(decimal)rf_food_cons_unit_p].c_max_h)) && (rf_cons_quant_p>0) && ((food_quant[(decimal)rf_food_cons_unit_p].c_max_h)>0)) Validation Message: You have entered a quantity that is far too high: %rf_cons_quant_p% %rf_cons_unit_p%. Go back and edit. Validation Condition: !(rf_cons_quant_p==0) Validation Message: You have entered that the quantity was zero. In a previous question you stated that you did consume %rostertitle%. Therefore, the quantity should not be zero. Please edit. [13] rf_purc_unit_p: D.32 What was the unit? Validation Condition: !(rf_purc_quant_p<(food_quant_purc_f_p[(long)rf_food_purc_unit_p].p_min_h) && rf_purc_quant_p>0) Validation Message: You have entered a quantity that is far too low: %rf_purc_quant_p% %rf_purc_unit_p%. Go back and edit. Validation Condition: !((rf_purc_quant_p>(food_quant_purc_f_p[(int)rf_food_purc_unit_p].p_max_h)) && (rf_purc_quant_p>0) && ((food_quant_purc_f_p[(int)rf_food_purc_unit_p].p_max_h)>0)) Validation Message: You have entered a quantity that is far too high: %rf_purc_quant_p% %rf_purc_unit_p%. Go back and edit. [14] rf_cons_unit: D.38 What was the unit? Validation Condition: !((rf_cons_quant<(food_quant_other[(decimal)rf_food_cons_unit].c_min_h)) && (rf_cons_quant>0)) Validation Message: You have entered a quantity that is far too low: %rf_cons_quant% %rf_cons_unit%. Go back and edit. Validation Condition: !((rf_cons_quant>(food_quant_other[(decimal)rf_food_cons_unit].c_max_h)) && (rf_cons_quant>0) && ((food_quant_other[(decimal)rf_food_cons_unit].c_max_h)>0)) Validation Message: You have entered a quantity that is far too high: %rf_cons_quant% %rf_cons_unit%. Go back and edit. Validation Condition: !(rf_cons_quant==0) Validation Message: You have entered that the quantity was zero. In a previous question you stated that you did consume %rostertitle%. Therefore, the quantity should not be zero. Please edit. [15] rf_purc_unit: D.39 What was the unit? Validation Condition: !(rf_purc_quant<(food_quant_purc_other[(long)rf_food_purc_unit].p_min_h) && rf_purc_quant>0) Validation Message: You have entered a quantity that is far too low: %rf_purc_quant% %rf_purc_unit%. Go back and edit. Validation Condition: !((rf_purc_quant>(food_quant_purc_other[(int)rf_food_purc_unit].p_max_h)) && (rf_purc_quant>0) && ((food_quant_purc_other[(int)rf_food_purc_unit].p_max_h)>0)) Validation Message: You have entered a quantity that is far too high: %rf_purc_quant% %rf_purc_unit%. Go back and edit. [16] rnf_item: E.1 Over the past 30 days, did anyone in your household buy or receive for free any of the items listed below. Please record yes or no for each of the items listed below: Validation Condition: (int)mod_opt == 1 && (self.Yes.Length + self.No.Length == 26) || (int)mod_opt == 2 && (self.Yes.Length + self.No.Length == 26) || (int)mod_opt == 3 && (self.Yes.Length + self.No.Length == 30) || (int)mod_opt == 4 && (self.Yes.Length + self.No.Length == 25) Validation Message: Please record yes or no for each of the items. [17] rnf_item_yr: E.2 Over the past 365 days, did anyone in your household buy or receive for free any of the items listed below. Please record yes or no for each of the items listed below: Validation Condition: (int)mod_opt == 1 && (self.Yes.Length + self.No.Length == 22) || (int)mod_opt == 2 && (self.Yes.Length + self.No.Length == 21) || (int)mod_opt == 3 && (self.Yes.Length + self.No.Length == 15) || (int)mod_opt == 4 && (self.Yes.Length + self.No.Length == 26) Validation Message: Please record yes or no for each of the items APPENDIX B — VALIDATION CONDITIONS AND MESSAGES 72 / 79 APPENDIX C — INSTRUCTIONS [1] visit_n: 2.15 What number visit is this to this household? Remember, if you have unsuccessfully attempted to interview a household three times you should not try to interview the household again. You should tab on complete and submit this interview. You should then re-open the interview and interview a replacement household. [2] emp_7d_paid: B.37 In the last 7 days, did %rostertitle% work for someone else (for at least one hour) for wage, salary, commission, or any payment in kind? This refers to work as an employee where the employee receives pay from an employer. The payment is typically given regularly in the form of cash, but also includes commissions and payment in kind. This includes for instance paid work for a private company or an NGO, paid domestic work, paid farm work, paid apprenticeships/internships.” [3] emp_7d_busi: B.38 In the last 7 days, did %rostertitle% work (for at least one hour) on his or her own account? (This does not include farm work.) This refers to people who are self-employed. They do not have an employer, but work on their own account in an activity that is NOT related to farm-work. Workers falling under this category are for instance artisans, street traders, shop owners, or people who run a family non-farm business, or people who own a non-farm business. [4] emp_7d_help: B.39 In the last 7 days, has %rostertitle% helped (for at least one hour) in your family business without pay? This question excludes working on farms. ‘Family business’ refers to any non-farm business owned by a member of your family or your household. Select ‘yes’ if this household member helps in the family business, but not in a management role. Examples of this category are: helping to prepare food or drinks for sale, helping to sell at the shop. [5] emp_7d_farm: B.40 In the last 7 days, has %rostertitle% worked (for at least one hour), on his or her own account, on a farm owned by himself/herself or a member of your household, raised the household's livestock, gone hunting, or fishing, or herded cattle? Own account work refers to people who are NOT employees that receive regular pay from their employer. Examples of this category are: fishermen, raising the household’s livestock, herding, or planting fields. [6] move_no_push_main: I.51 Thinking about the place where you live now, what are the three most important reasons you want to stay? Please start with the most important reason, then state the second most important reason and then the third most important reason. DO NOT read options to the respondent, select one. If unsure, ask a follow up question. Please ensure that the responses are recorded in the correct order, with 1st being the most important, 2nd being the second most important and 3rd being the third most important. [7] move_no_pull_main: I.52 Thinking about the place where you would go if you needed to move, what are the three main reason you don’t want to move? Please start with the most important reason, then state the second most important reason and then the third most important reason. DO NOT read options to the respondent, select one. If unsure, ask a follow up question. Please ensure that the responses are recorded in the correct order, with 1st being the most important, 2nd being the second most important and 3rd being the third most important. [8] move_yes_push_main: I.53 Thinking about the place where you live now, what are the three main reasons you want to move? Please start with the most important, then state the second most important and then the third most important. DO NOT read options to the respondent, select one. If unsure, ask a follow up question. Please ensure that the responses are recorded in the correct order, with 1st being the most important, 2nd being the second most important and 3rd being the third most important. [9] move_no_org_main: I.54 Thinking about your place of origin, what are the three most important reasons you don’t want to move back? Please start with the most important, then state the second most important and then the third most important. DO NOT read options to the respondent, select one. If unsure, ask a follow up question. Please ensure that the responses are recorded in the correct order, with 1st being the most important, 2nd being the second most important and 3rd being the third most important. [10] move_yes_pull_main: I.55 Thinking about the place where you would go, what are the three most important reasons you want to move? Please start with the most important, then state the second most important an then the third most important reason. DO NOT read options to the respondent, select one. If unsure, ask a follow up question. Please ensure that the responses are recorded in the correct order, with 1st being the most important, 2nd being the second most important and 3rd being the third most important. [11] move_help: I.56 Please tell us the most important things you need to be able to settle in the location of your preference. Please start with the most important thing, then state the next most important thing and then third most important thing. DO NOT read options to the respondent, select one. If unsure, ask a follow up question. Please ensure that the responses are recorded in the correct order, with 1st being the most important, 2nd being the second most important and 3rd being the third most important. APPENDIX C — INSTRUCTIONS 73 / 79 APPENDIX D — OPTIONS [1] enum_id_idp: 1.8 Which member of the team are you? Options: 11:Name 1, 12:Name 2, 13:Name 3, 14:Name 4, 15:Name 5, 16:Name 6, 21:Name 1, 22:Name 2, 23:Name 3, 24:Name 4, 25:Name 5, 26:Name 6, 31:Name 1, 32:Name 2, 33:Name 3, 34:Na me 4, 35:Name 5, 36:Name 6, 41:Name 1, 42:Name 2, 43:Name 3, 44:Name 4, 45:Name 5, 46:Name 6, [2] ea_idp: 2.4 Please select the EA you are in. Options: 3002:3002, 3003:3003, 3005:3005, 3006:3006, 3007:3007, 3008:3008, 3010:3010, 3011:3011, 3012:3012, 3014:3014, 3015:3015, 3016:3016, 3017:3017, 3019:3019, 3020:3020, 3022:3022, 3023:3023, 3024:3024, 3026:3026, 3027:3027, 3028:3028, 3030:3030, 3031:3031, 3033:3033, 3034:3034, 3035:3035, 3037:3037, 3038:3038, 3040:3040, 3041:3041, 3042:3042, 3044:3044, 3045:30 45, 3046:3046, 3048:3048, 1001:1001, 1002:1002, 1003:1003, 1005:1005, 1006:1006, 1007:1007, 1009:1009, 1010:1010, 1011:1011, 1013:1013, 1014:1014, 1015:1015, 1017:1017, 1018:1018, 1019 :1019, 3004:3004, 3013:3013, 3018:3018, 3025:3025, 3032:3032, 3039:3039, 3043:3043, 1004:1004, 1008:1008, 1016:1016, 5002:5002, 5003:5003, 5004:5004, 5005:5005, 5006:5006, 5007:5007, 5 008:5008, 5009:5009, 5010:5010, 5011:5011, 5012:5012, 5013:5013, 5014:5014, 5015:5015, 5016:5016, 5017:5017, 5018:5018, 5019:5019, 5020:5020, 5021:5021, 5022:5022, 5023:5023, 5024:502 4, 5025:5025, 5027:5027, 5028:5028, 5029:5029, 5030:5030, 5031:5031, 5032:5032, 5033:5033, 5034:5034, 5035:5035, 5036:5036, 5037:5037, 5038:5038, 5039:5039, 5040:5040, 5041:5041, 5042: 5042, 5043:5043, 5044:5044, 5045:5045, 5046:5046, 5047:5047, 5048:5048, 5049:5049, 5050:5050, 5051:5051, 5052:5052, 5001:5001, 5026:5026, 6003:6003, 6005:6005, 6006:6006, 6008:6008, 60 10:6010, 6013:6013, 6015:6015, 6017:6017, 6019:6019, 6021:6021, 6023:6023, 6025:6025, 6027:6027, 6029:6029, 6031:6031, 6033:6033, 6035:6035, 6037:6037, 6039:6039, 6041:6041, 6043:6043 , 6045:6045, 6047:6047, 6049:6049, 6051:6051, 6053:6053, 6055:6055, 6057:6057, 6060:6060, 6062:6062, 6064:6064, 6066:6066, 6068:6068, 6070:6070, 6072:6072, 6074:6074, 6076:6076, 6078:6 078, 6080:6080, 6082:6082, 6084:6084, 6086:6086, 6088:6088, 6090:6090, 6092:6092, 6094:6094, 6096:6096, 6098:6098, 6100:6100, 6102:6102, 6009:6009, 6018:6018, 6028:6028, 6038:6038, 604 8:6048, 6059:6059, 6069:6069, 6079:6079, 6089:6089, 6099:6099, 2002:2002, 2003:2003, 2004:2004, 2005:2005, 2006:2006, 2008:2008, 2009:2009, 2010:2010, 2011:2011, 2012:2012, 2013:2013, 2015:2015, 2016:2016, 2017:2017, 2018:2018, 2019:2019, 2020:2020, 2021:2021, 2023:2023, 2024:2024, 2025:2025, 2026:2026, 2027:2027, 2029:2029, 2030:2030, 2031:2031, 2032:2032, 2033:20 33, 2034:2034, 2035:2035, 2036:2036, 2038:2038, 2039:2039, 2040:2040, 2041:2041, 2042:2042, 2043:2043, 2044:2044, 2045:2045, 2047:2047, 2048:2048, 2049:2049, 2050:2050, 2051:2051, 2053 :2053, 2054:2054, 2055:2055, 2056:2056, 2057:2057, 2058:2058, 2001:2001, 2007:2007, 2014:2014, 2028:2028, 2037:2037, 2046:2046, 2022:2022, 2052:2052, 4001:4001, 4002:4002, 4003:4003, 4 004:4004, 4005:4005, 4006:4006, 4007:4007, 4008:4008, 4009:4009, 4010:4010, 4011:4011, 4012:4012, 4013:4013, 4014:4014, [3] hhh_birthplace: B.17 Where was %rostertitle% born? Options: 1:Sudan, 2:South Sudan, 3:Kenya, 4:Uganda, 5:Ethiopia, 6:Eritrea, 7:Egypt, 8:Other Africa, 9:India, 10:Lebanon, 11:China, 12:Japan, 13:Australia, 14:Europe, 15:USA/Canada, 16:Latin America , 1000:Other (please specify), -98:Don't know, [4] hhm_edu_reason: B.31 What is the main reason that %rostertitle% is not attending school or college currently? Options: 1:Still too young, 2:Finished school / too old to go to school / college, 3:Illness / disability, 4:Pregnant, 5:Works, 6:Takes care of home / younger siblings, 7:Will work on land / in home, No need to st udy, 8:Lack of financial resources, 9:Parents do not understand how to enroll, 10:No documents to enroll in schools, 11:The school nearby is poor quality, 12:Absence of female teachers, 13:Schools / colleg es are full and not accepting new students, 14:There are no schools / colleges nearby, 15:The way to school / college is not safe because of conflict, 16:The school / college is closed due to the conflict, 17:Th e school / college is occupied due to the conflict, 18:The school / college is damaged / destroyed in the conflict, 1000:Other (Specify), -98:Don't know, -99:Refused to respond, [5] hhm_edu_level: B.35 What class did %rostertitle% complete in the last completed year? Options: 10:In the first year of primary school, 11:Primary 1, 12:Primary 2, 13:Primary 3, 14:Primary 4, 15:Primary 5, 16:Primary 6, 17:Primary 7, 18:Primary 8, 19:Intermediate 1, 20:Intermediate 2, 21:I ntermediate 3, 22:Secondary 1, 23:Secondary 2, 24:Secondary 3, 25:Secondary 4, 26:Secondary 5, 27:Secondary 6, 30:Part of University, 31:University degree, 29:Diploma, 32:Masters degree, 33:PhD, 1000:Other (please specify), -98:Don't know, -99:Refused to respond, [6] emp_7d_prim_isic: B.59 What kind of job is %rostertitle%'s main activity? Options: 1:Agriculture, forestry and fishing, 2:Mining and quarrying, 3:Manufacturing, 4:Electricity, gas, steam and air, 5:Water supply and waste, 6:Construction, 7:Wholesale and retail trade; and repair of motor vehicles, 8:Transportation and storage, 9:Accommodation and food service, 10:Information and communication, 11:Financial and insurances, 12:Real estate, 13:Professional, scientific, technical acti vities, 14:Administrative and support service activities, 15:Public administration and defence/security, 16:Education, 17:Human health and social work, 18:Arts, entertainment and recreation, 19:Other servi ce activities, 20:Household work as employers and for own use, 21:Activities for extraterritorial organizations, -98:Don't know, -99:Refused to respond, [7] emp_7d_prim_isic_prev: B.69 What kind of job was %rostertitle%'s main activity before displacement? Options: 1:Agriculture, forestry and fishing, 2:Mining and quarrying, 3:Manufacturing, 4:Electricity, gas, steam and air, 5:Water supply and waste, 6:Construction, 7:Wholesale and retail trade; and repair of motor vehicles, 8:Transportation and storage, 9:Accommodation and food service, 10:Information and communication, 11:Financial and insurances, 12:Real estate, 13:Professional, scientific, technical acti vities, 14:Administrative and support service activities, 15:Public administration and defence/security, 16:Education, 17:Human health and social work, 18:Arts, entertainment and recreation, 19:Other servi ce activities, 20:Household work as employers and for own use, 21:Activities for extraterritorial organizations, -98:Don't know, -99:Refused to respond, [8] light: C.15 What is the main source of lighting for this household? Options: 1:National Grid connection, 2:Local Mini Grid, 3:Diesel Generator (private electricity), 4:Solar Home System, 5:Solar Lantern/Lighting System, 6:Rechargeable Battery (e.g., car battery), 7:Torch, 8 :Gas, 9:Paraffin lantern, 10:Paraffin lamp, 11:Firewood, 12:Grass, 13:Candle wax, 14:Biogas, 15:No lighting, -98:Don't know, -99:Refused to respond, [9] cook: C.19 What is the main source of energy for cooking in this household? Options: 0:No cooking, 1:Wood, 2:Charcoal, 3:Gas, 4:Electricity, 5:Paraffin/ Kerosene, 6:Grass, 7:Biogas, 8:Coal/lignite, 9:Solar, 10:Animal Waste/Dung, 11:Crop Residue/Plant Biomass, 12:Saw Dust, 13 :Coal Briquette, 14:Biomass Briquette, 15:Processed biomass (pellets)/ woodchips, 16:Ethanol, 17:LPG/ cooking gas, 18:Piped Natural Gas, 19:Garbage/plastic, 1000:Other (specify), -98:Don't know, -99: Refused to respond, [10] light_disp: C.48 What was the main source of lighting for the household in the dwelling you lived in before displacement? Options: 1:National Grid connection, 2:Local Mini Grid, 3:Diesel Generator (private electricity), 4:Solar Home System, 5:Solar Lantern/Lighting System, 6:Rechargeable Battery (e.g., car battery), 7:Torch, 8 :Gas, 9:Paraffin lantern, 10:Paraffin lamp, 11:Firewood, 12:Grass, 13:Candle wax, 14:Biogas, 15:No lighting, -98:Don't know, -99:Refused to respond, [11] rf_relevanceyn_br: D.4 Over the past 7 days, did anyone in your household consume any of the items listed below. Please record yes or no for each of the items below. Options: 10101:Dura (Sorghum), 10102:Yellow maize (Dura Shami), 10103:Millet (Dukhn), 10104:Wheat, 10105:Maize (Ashraf / in the cob), 10106:Rice (imported), 10107:Wheat flour (Daqiq Fina, local), 10 108:Dura flour (Sorghum flour), 10109:Maize flour, 10110:Millet flour, 10111:Other flour, 10112:Macaroni, spaghetti, noodles etc, 10113:Breakfast cereals, 10114:Reels of pasta, 10115:Bread, 10116:Kis ra and asida, 10117:Local biscuit, 10118:Buns, 10119:Infant feeding, 10120:Other cereals and cereal products (except infant feeding, wheat, millet, reels of pasta, buns and breakfast cereals), [12] rf_relevanceyn_m: D.14 Over the past 7 days, did anyone in your household consume any of the items listed below. Please record yes or no for each of the items below. Options: 10201:Sheep meat (fresh, with bone, local), 10202:Goat meat (with bones, fresh, local), 10203:Liver (sheep/goat), 10204:Feet/foot from sheep/goat (fresh and clean without skin), 10205:Head from sheep/goat (fresh and clean without skin), 10206:Mutton tripes/intestines but no liver from sheep/goat (fresh and clean without skin), 10207:Fresh beef, 10208:Feet/foot from cow/veal (fresh and clean witho ut skin), 10209:Head from cow/veal (fresh and clean without skin), 10210:Liver (cattle/veal), 10211:Intestines beef/cow/veal but no liver, 10212:Pork meat, 10213:Camel liver, 10214:Chicken and poultry, 10 215:Small animals (rabbits, mice,etc.), 10216:Insects, 10217:Blood and blood products, 10218:Sausages (cattle/veal), 10219:Other fresh meat and animal products but no sheep/goat or beef/cow/veal, 103 01:Fresh fish, Bolati and others, 10302:Fissekh, salted fish (local), 10303:Dried fish (local), 10304:Tinned fish, sardine 125 grams, tuna, etc, [13] rf_relevanceyn_p: D.30 Over the past 7 days, did anyone in your household consume any of the items listed below. Please record yes or no for each of the items below. Options: 10701:Dry Egyptian beans (local), 10702:Dry chick peas, 10703:Green okra, 10704:Dry okra (dry Alweka), 10705:Natural groundnut (Roasted), 10706:Groundnut flour, 10707:Soya bean flour, 107 08:Lentils, 10709:White beans (Fasulia), 10710:Lentils (Adasia), 10711:Carrots, 10712:Cabbage, 10713:Cucumber, 10714:Onions, 10715:Fresh tomatoes, 10716:Potato (Irish), 10717:Sweet potato, 1071 8:Molokia (Jute), 10719:Pumpkin (Garaoa), 10720:Tomato sauce (canned), 10721:Tomato sauce (small pack of 70 grams), 10722:Tomato sauce (large pack of local 500 grams), 10723:Tinned pulses, 10724 :Cassava tubers, 10725:Yam, 10726:Cassava flour, 10727:Cooking banana, 10728:Other roots, tubers, vegetables, [14] rf_relevanceyn_ot: D.37 Over the past 7 days, did anyone in your household consume any of the items listed below. Please record yes or no for each of the items below. Options: 10401:Fresh milk, 10402:Milk powder, 10403:Milk products; cheese, yoghurt, etc, 10404:Eggs, 10501:Animal and vegetable butter, 10502:Ghee (samin), 10503:Cooking oil, 10801:Sugar, 10802:S ugar cane, 10803:Natural honey, 10804:Tahnieh Halawa, 10805:Chocolate, 10806:Jam (the malty) & jelly, 10807:Candy, 10808:Jelly, 10901:Green spicy (pungent), 10902:Red chili (hot pepper), 10903:Gra in black pepper, 10904:Ginger powder, 10905:Yeast, 10906:Promises cinnamon, 10907:Cinnamon powder, 10908:Food salt, 10909:Baking powder, 10910:Coriander, 10911:Okra dry powder (Alweka), 11 001:Coffee, 11002:Black tea imported (no tea bags), 11003:Khazalten tea or other, 11004:Tea bags, 11005:Nescafe (coffee instant), 11006:Cocoa, 11101:Local mineral water, 11102:Local mineral water 1.5 liters, 11103:Local mineral water 0.5 liters, 11104:Orange juice (fruit juice), 11105:Bottle of Fanta Sprite, 11106:Traditional beer, 11107:Canned/bottled beer, 11108:Liquor, 11110:Bottle of Fanta or Spr ite 300-350 milliliters, 11111:Aluminium box Fanta or Sprite 350 milliliters, 11201:Cigarettes, 11202:Tombac, tobacco, 11203:Honeyed tobacco (Aoasl), 11301:Lunch in a restaurant, 11302:Coffee or tea in t he market, 11303:Fresh orange juice in a restaurant, 11304:Meals and breakfast for one person in a restaurant, 11305:Sandwich Tamiya / chickpeas, 11306:Egyptian boiled beans (Ful Masir), 11401:Maize boiled/roasted, 11402:Cassava boiled from vendor, 11403:Eggs boiled from vendor, 11404:Chicken from vendor, 11405:Meat from vendor, 11406:Fish from vendor, 11407:Meat dishes in a restaurant, 114 08:Fish dishes in a restaurant, [15] rf_cons_unit_br: D.5 What was the unit? Options: 1:basin (10 litre), 2:bundle (100g), 3:cup (200g), 4:gallon (USAID), 3.7 kg, 5:gram, 6:heap (100g), 7:heap (150g), 8:heap (200g), 9:heap (300g), 10:heap (700g), 11:jerdal (12 kg), 12:kilogram, 13 :litre, 14:millilitre, 15:packet, 16:packet (200g), 17:packet (20g), 18:packet (30g), 19:packet (400g), 20:packet (50g), 21:packet (70g), 22:piece (2g), 23:piece (40g), 24:piece (50g), 25:piece (100g), 26:pi ece (200g), 27:piece (250g), 28:piece (300g), 29:piece (350g), 30:piece (500g), 31:piece (900g), 32:piece (1kg), 33:piece (1.25kg), 34:piece (1.5 kg), 35:piece (10kg), 36:piece (2kg), 37:piece (3kg), 38:plat e, 39:sack (50kg), 40:spoon (15g), 41:tarraga (one layer), 42:tin (300g), [16] rf_purc_unit_br: D.6 What was the unit? Options: 1:basin (10 litre), 2:bundle (100g), 3:cup (200g), 4:gallon (USAID), 3.7 kg, 5:gram, 6:heap (100g), 7:heap (150g), 8:heap (200g), 9:heap (300g), 10:heap (700g), 11:jerdal (12 kg), 12:kilogram, 13 :litre, 14:millilitre, 15:packet, 16:packet (200g), 17:packet (20g), 18:packet (30g), 19:packet (400g), 20:packet (50g), 21:packet (70g), 22:piece (2g), 23:piece (40g), 24:piece (50g), 25:piece (100g), 26:pi ece (200g), 27:piece (250g), 28:piece (300g), 29:piece (350g), 30:piece (500g), 31:piece (900g), 32:piece (1kg), 33:piece (1.25kg), 34:piece (1.5 kg), 35:piece (10kg), 36:piece (2kg), 37:piece (3kg), 38:plat e, 39:sack (50kg), 40:spoon (15g), 41:tarraga (one layer), 42:tin (300g), [17] rf_cons_unit_m: D.15 What was the unit? Options: 1:basin (10 litre), 2:bundle (100g), 3:cup (200g), 4:gallon (USAID), 3.7 kg, 5:gram, 6:heap (100g), 7:heap (150g), 8:heap (200g), 9:heap (300g), 10:heap (700g), 11:jerdal (12 kg), 12:kilogram, 13 :litre, 14:millilitre, 15:packet, 16:packet (200g), 17:packet (20g), 18:packet (30g), 19:packet (400g), 20:packet (50g), 21:packet (70g), 22:piece (2g), 23:piece (40g), 24:piece (50g), 25:piece (100g), 26:pi ece (200g), 27:piece (250g), 28:piece (300g), 29:piece (350g), 30:piece (500g), 31:piece (900g), 32:piece (1kg), 33:piece (1.25kg), 34:piece (1.5 kg), 35:piece (10kg), 36:piece (2kg), 37:piece (3kg), 38:plat e, 39:sack (50kg), 40:spoon (15g), 41:tarraga (one layer), 42:tin (300g), APPENDIX D — OPTIONS 74 / 79 [18] rf_purc_unit_m: D.16 What was the unit? Options: 1:basin (10 litre), 2:bundle (100g), 3:cup (200g), 4:gallon (USAID), 3.7 kg, 5:gram, 6:heap (100g), 7:heap (150g), 8:heap (200g), 9:heap (300g), 10:heap (700g), 11:jerdal (12 kg), 12:kilogram, 13 :litre, 14:millilitre, 15:packet, 16:packet (200g), 17:packet (20g), 18:packet (30g), 19:packet (400g), 20:packet (50g), 21:packet (70g), 22:piece (2g), 23:piece (40g), 24:piece (50g), 25:piece (100g), 26:pi ece (200g), 27:piece (250g), 28:piece (300g), 29:piece (350g), 30:piece (500g), 31:piece (900g), 32:piece (1kg), 33:piece (1.25kg), 34:piece (1.5 kg), 35:piece (10kg), 36:piece (2kg), 37:piece (3kg), 38:plat e, 39:sack (50kg), 40:spoon (15g), 41:tarraga (one layer), 42:tin (300g), [19] rf_cons_unit_f: D.23 What was the unit? Options: 1:basin (10 litre), 2:bundle (100g), 3:cup (200g), 4:gallon (USAID), 3.7 kg, 5:gram, 6:heap (100g), 7:heap (150g), 8:heap (200g), 9:heap (300g), 10:heap (700g), 11:jerdal (12 kg), 12:kilogram, 13 :litre, 14:millilitre, 15:packet, 16:packet (200g), 17:packet (20g), 18:packet (30g), 19:packet (400g), 20:packet (50g), 21:packet (70g), 22:piece (2g), 23:piece (40g), 24:piece (50g), 25:piece (100g), 26:pi ece (200g), 27:piece (250g), 28:piece (300g), 29:piece (350g), 30:piece (500g), 31:piece (900g), 32:piece (1kg), 33:piece (1.25kg), 34:piece (1.5 kg), 35:piece (10kg), 36:piece (2kg), 37:piece (3kg), 38:plat e, 39:sack (50kg), 40:spoon (15g), 41:tarraga (one layer), 42:tin (300g), [20] rf_purc_unit_f: D.24 What was the unit? Options: 1:basin (10 litre), 2:bundle (100g), 3:cup (200g), 4:gallon (USAID), 3.7 kg, 5:gram, 6:heap (100g), 7:heap (150g), 8:heap (200g), 9:heap (300g), 10:heap (700g), 11:jerdal (12 kg), 12:kilogram, 13 :litre, 14:millilitre, 15:packet, 16:packet (200g), 17:packet (20g), 18:packet (30g), 19:packet (400g), 20:packet (50g), 21:packet (70g), 22:piece (2g), 23:piece (40g), 24:piece (50g), 25:piece (100g), 26:pi ece (200g), 27:piece (250g), 28:piece (300g), 29:piece (350g), 30:piece (500g), 31:piece (900g), 32:piece (1kg), 33:piece (1.25kg), 34:piece (1.5 kg), 35:piece (10kg), 36:piece (2kg), 37:piece (3kg), 38:plat e, 39:sack (50kg), 40:spoon (15g), 41:tarraga (one layer), 42:tin (300g), [21] rf_cons_unit_p: D.31 What was the unit? Options: 1:basin (10 litre), 2:bundle (100g), 3:cup (200g), 4:gallon (USAID), 3.7 kg, 5:gram, 6:heap (100g), 7:heap (150g), 8:heap (200g), 9:heap (300g), 10:heap (700g), 11:jerdal (12 kg), 12:kilogram, 13 :litre, 14:millilitre, 15:packet, 16:packet (200g), 17:packet (20g), 18:packet (30g), 19:packet (400g), 20:packet (50g), 21:packet (70g), 22:piece (2g), 23:piece (40g), 24:piece (50g), 25:piece (100g), 26:pi ece (200g), 27:piece (250g), 28:piece (300g), 29:piece (350g), 30:piece (500g), 31:piece (900g), 32:piece (1kg), 33:piece (1.25kg), 34:piece (1.5 kg), 35:piece (10kg), 36:piece (2kg), 37:piece (3kg), 38:plat e, 39:sack (50kg), 40:spoon (15g), 41:tarraga (one layer), 42:tin (300g), [22] rf_purc_unit_p: D.32 What was the unit? Options: 1:basin (10 litre), 2:bundle (100g), 3:cup (200g), 4:gallon (USAID), 3.7 kg, 5:gram, 6:heap (100g), 7:heap (150g), 8:heap (200g), 9:heap (300g), 10:heap (700g), 11:jerdal (12 kg), 12:kilogram, 13 :litre, 14:millilitre, 15:packet, 16:packet (200g), 17:packet (20g), 18:packet (30g), 19:packet (400g), 20:packet (50g), 21:packet (70g), 22:piece (2g), 23:piece (40g), 24:piece (50g), 25:piece (100g), 26:pi ece (200g), 27:piece (250g), 28:piece (300g), 29:piece (350g), 30:piece (500g), 31:piece (900g), 32:piece (1kg), 33:piece (1.25kg), 34:piece (1.5 kg), 35:piece (10kg), 36:piece (2kg), 37:piece (3kg), 38:plat e, 39:sack (50kg), 40:spoon (15g), 41:tarraga (one layer), 42:tin (300g), [23] rf_cons_unit: D.38 What was the unit? Options: 1:basin (10 litre), 2:bundle (100g), 3:cup (200g), 4:gallon (USAID), 3.7 kg, 5:gram, 6:heap (100g), 7:heap (150g), 8:heap (200g), 9:heap (300g), 10:heap (700g), 11:jerdal (12 kg), 12:kilogram, 13 :litre, 14:millilitre, 15:packet, 16:packet (200g), 17:packet (20g), 18:packet (30g), 19:packet (400g), 20:packet (50g), 21:packet (70g), 22:piece (2g), 23:piece (40g), 24:piece (50g), 25:piece (100g), 26:pi ece (200g), 27:piece (250g), 28:piece (300g), 29:piece (350g), 30:piece (500g), 31:piece (900g), 32:piece (1kg), 33:piece (1.25kg), 34:piece (1.5 kg), 35:piece (10kg), 36:piece (2kg), 37:piece (3kg), 38:plat e, 39:sack (50kg), 40:spoon (15g), 41:tarraga (one layer), 42:tin (300g), [24] rf_purc_unit: D.39 What was the unit? Options: 1:basin (10 litre), 2:bundle (100g), 3:cup (200g), 4:gallon (USAID), 3.7 kg, 5:gram, 6:heap (100g), 7:heap (150g), 8:heap (200g), 9:heap (300g), 10:heap (700g), 11:jerdal (12 kg), 12:kilogram, 13 :litre, 14:millilitre, 15:packet, 16:packet (200g), 17:packet (20g), 18:packet (30g), 19:packet (400g), 20:packet (50g), 21:packet (70g), 22:piece (2g), 23:piece (40g), 24:piece (50g), 25:piece (100g), 26:pi ece (200g), 27:piece (250g), 28:piece (300g), 29:piece (350g), 30:piece (500g), 31:piece (900g), 32:piece (1kg), 33:piece (1.25kg), 34:piece (1.5 kg), 35:piece (10kg), 36:piece (2kg), 37:piece (3kg), 38:plat e, 39:sack (50kg), 40:spoon (15g), 41:tarraga (one layer), 42:tin (300g), [25] rnf_item: E.1 Over the past 30 days, did anyone in your household buy or receive for free any of the items listed below. Please record yes or no for each of the items listed below: Options: 20000:Traditional healers fee/medicine, 20101:Monthly water fees, 20102:Waste fees, 20103:Other related fees and services, 20201:Match boxes, 20202:Laundry soap (local), 20203:Soap (powd er), 20204:Bathing soap, 20301:Service cost weekly salary at family house, 20302:Other kind of domestic services, 20401:Cough Syrup medicine (cold), 20402:Drug tabs and roots for reducing fever and m alaria, 20403:Antibiotics, 20404:Other pharmaceutical products except antibiotics, 20501:Medical eye glasses, 20502:Hearing aid, 20601:Specialist and general doctors, 20602:Medical consultation at hos pital, 20603:Birth in general hospital, 20604:Operations in hospital, 20606:Planning blood vessels, 20607:Filling and treatment of teeth, 20608:Malaria blood testing, 20609:Other tests (blood, urine, feces), 20610:x-ray test, 20611:Physiotherapy, 20701:Movement and freight using train or road transport, 20702:Boda-boda, taxi and bus fares, 20703:Tickets for air travel, 20704:Tickets for travel by sea or river, 20801:Cost of sending mail and parcel, 20802:Mobile and fix phone costs and their repair, 20803:Telephone subscription fees (no airtime), 20804:Mobile airtime and internet and fax fees, 20901:Photograp hic and computers tapes/CD, 20902:Football and other sports equipment, 20903:Spending on pets and related products, 20904:Participate and fees in sports clubs and tickets, 20905:Spending on books incl uding textbooks, 20910:Organized travels incl Hajj and Umrah, 21001:Hair cut for men, hair dressing for women, 21002:Sauna bath, 21003:Decoration for women, 21004:Other personal care services, 210 05:Small electric hairdryer etc, 21006:Shampoo, creams and perfumes, 21007:Tooth paste and teeth brush, 21008:Ordinary razor, 21009:Talh wood and shaf, [26] rnf_item_yr: E.2 Over the past 365 days, did anyone in your household buy or receive for free any of the items listed below. Please record yes or no for each of the items listed below: Options: 20001:Private hospital, 20605:Government hospital, 20906:Newspapers and periodicals, 20907:Stationary and painting, 20908:Accommodation services, hotel rent etc. Not for the house, 20909:S uitcase, schoolbags etc, 21101:Clothing materials, tissue etc, 21102:Infant and boys clothing, 21103:Girls clothing, 21104:Men's clothing, 21105:Lady's clothing, 21106:Hats and ties, 21107:Laundry, repair and rental, 21108:Tailoring fees, 21109:Wristwatch and wall clock, 21201:Men's shoes (normal skin), 21202:Men's Slippers, 21203:Women's shoes (normal skin), 21204:Women's leather slippers, 21205:G irl's shoes imitation leather, 21301:Occupied family housing maintenance cost, 21302:Faucet (tap), 21303:Neon bulb, 21304:Glass for building, 21305:Portland cement, 21306:Switch (electric), 21307:Othe r materials for housing maintenance (no cement or bulbs), 21401:Furniture except bed/mattress, 21402:Linoleum / plastic flooring, 21403:Carpet imported, 21404:Pillows and blankets, 21501:Filling of refri gerator gas, 21502:Mixer repair, 21503:Other electrical household appliances repair, 21601:Cooking suit (pots), 21602:Glass plate, 21603:Glass bowl (imported), 21604:Spoons, knives, forks, 21605:Tea c ups, glasses etc, 21701:Tools and hand equipments, 21702:Hand operated screwdriver, 21703:Hand saw, 21704:Tree branch scissor, 21705:Bulb charger (imported), 21706:Electrical link, 21707:Dry-cell battery (Haggar battery large size), 21708:Torch/Flash light, 21709:Paraffin lamp, 21801:Spare parts and accessories for personal transport, 21802:Fuel, oils and lubricants for personal transport, 21803:M aintenance and repair of personal transport, 21804:Compulsory car insurance, 21805:Relating insurance transport, 21901:Pre primary and primary education, 21902:Secondary education, 21903:Post seco ndary education / Higher education, 21904:Un-specified educational level, 22001:Charges for official document inclusive ID card, 22002:Driving license fees, 22003:Birth certificate fees, 22004:Marriage do cument fees, 22005:Passport fees, 22006:Ownership document for real estate, [27] ra_own: G.1 Does anyone in your household own today the items listed below. Please record yes or no for each of the items listed below. Options: 1:Cars, 2:Trucks, 3:Motorcycle/motor, 4:Rickshaw, 5:Bicycle, 6:Canoe or boat, 7:Plough, 8:Television, 9:Satellite dish, 10:DVD or CD player, 11:Radio or transistor, 12:Mobile phone, 13:Comput er or laptop, 14:Refrigerator, 15:Washing machine, 16:Fan, 17:Air cooler or air conditioner, 18:Mattress or bed, 19:Mosquito net, 20:Electric ironer, 21:Hoe, spade or axe, [28] ra_own_prev: G.12 Did anyone in your household own the items listed below before the displacement from your original place of residence. Please record yes or no for each of the items listed below. Options: 1:Cars, 2:Trucks, 3:Motorcycle/motor, 4:Rickshaw, 5:Bicycle, 6:Canoe or boat, 7:Plough, 8:Television, 9:Satellite dish, 10:DVD or CD player, 11:Radio or transistor, 12:Mobile phone, 13:Comput er or laptop, 14:Refrigerator, 15:Washing machine, 16:Fan, 17:Air cooler or air conditioner, 18:Mattress or bed, 19:Mosquito net, 20:Electric ironer, 21:Hoe, spade or axe, [29] disp_from_s: I.17 In which state was your household's last place of permanent residence before displacement? Options: 1:Al Qadarif, 2:Al Jazirah, 3:Sennar, 4:White Nile (An Nil al Abyad), 5:Blue Nile State, 6:Central Darfur (Wasat Darfur), 7:East Darfur (Sharq Darfur), 8:North Darfur (Shamal Darfur), 9:South Darfu r (Janub Darfur), 10:West Darfur (Gharb Darfur), 11:Kassala (Ash Sharqiyah), 12:Red Sea (Al Bahr al Ahmar), 13:North Kurdufan (Shamal Kurdufan), 14:South Kordofan, 15:West Kurdufan (Gharb Kurdufan), 16:Northern (Ash Shamaliyah), 17:River Nile (Nahr an Nil), 18:Khartoum State, [30] disp_from_region: I.18 Which country or region did you live in before displacement? Options: 0:South Sudan, 1:Ethiopia, 2:Kenya, 3:Uganda, 4:Demoratic Republic of the Congo, 5:Central African Republic, 6:Other country in East Africa, 7:Southern Africa, 8:West Africa, 9:North Africa, 10: Europe, 11:Australia, 12:Asia, 13:North America, 14:South America, -98:Don't know, -99:Refused to respond, [31] move_help: I.56 Please tell us the most important things you need to be able to settle in the location of your preference. Please start with the most important thing, then state the next most important thing and then third most important thing. Options: 1:Security, 2:Mine clearance, 3:Access to original house/land, 4:Provision of new shelter / housing, 5:Access to a farm plot and / or grazing land, 6:Agricultural tools & seeds / livestock, 7:Funds / p roductive assets for re-establishing business, 8:Skills training for job, 9:Connections for jobs, 10:Access to markets, 11:Access to educational services, 12:Access to health services, 13:Access to water and/ or sanitation, 14:Access to aid, 15:Transportation arrangement, 16:Regrouping of family, 17:Renewal / replacement of documentations, 1000:Other (Specify), APPENDIX D — OPTIONS 75 / 79 APPENDIX E — VARIABLES [1] seg_str2: (n_str>1) ? (((int)str2!=(int)str1) ? str2 : (!str3.InList(str2,seg_str1)) ? str3 : (!str4.InList(str3,str2,seg_str1)) ? str4 : (!str5.InList(str4,str3,str2,seg_str1)) ? str5 : (!str6.InList(str5,str4,str3,str2,seg_str1)) ? str6 : (!str7.InList(str6,str5,str4,str3,str2,seg_str1)) ? str7 : (!str8.InList(str7,str6,str5,str4,str3,str2,seg_str1)) ? str8 : (!str9.InList(str8,str7,str6,str5,str4,str3,str2,seg_str1)) ? str9 : (!str10.InList(str9,str8,str7,str6,str5,str4,str3,str2,seg_str1)) ? str10 : (!str11.InList(str10,str9,str8,str7,str6,str5,str4,str3,str2,seg_str1)) ? str11 : (!str12.InList(str11,str10,str9,str8,str7,str6,str5,str4,str3,str2,seg_str1)) ? str12 : (!str13.InList(str12,str11,str10,str9,str8,str7,str6,str5,str4,str3,str2,seg_str1)) ? str13 : (!str14.InList(str13,str12,str11,str10,str9,str8,str7,str6,str5,str4,str3,str2,seg_str1)) ? str14 : (!str15.InList(str14,str13,str12,str11,str10,str9,str8,str7,str6,str5,str4,str3,str2,seg_str1)) ? str15 :-999) : -999 [2] seg_str3: (n_str>2) ? ((!str3.InList(seg_str2,seg_str1)) ? str3 : (!str4.InList(str3,seg_str2,seg_str1)) ? str4 : (!str5.InList(str4,str3,seg_str2,seg_str1)) ? str5 : (!str6.InList(str5,str4,str3,seg_str2,seg_str1)) ? str6 : (!str7.InList(str6,str5,str4,str3,seg_str2,seg_str1)) ? str7 : (!str8.InList(str7,str6,str5,str4,str3,seg_str2,seg_str1)) ? str8 : (!str9.InList(str8,str7,str6,str5,str4,str3,seg_str2,seg_str1)) ? str9 : (!str10.InList(str9,str8,str7,str6,str5,str4,str3,seg_str2,seg_str1)) ? str10 : (!str11.InList(str10,str9,str8,str7,str6,str5,str4,str3,seg_str2,seg_str1)) ? str11 : (!str12.InList(str11,str10,str9,str8,str7,str6,str5,str4,str3,seg_str2,seg_str1)) ? str12 : (!str13.InList(str12,str11,str10,str9,str8,str7,str6,str5,str4,str3,seg_str2,seg_str1)) ? str13 : (!str14.InList(str13,str12,str11,str10,str9,str8,str7,str6,str5,str4,str3,seg_str2,seg_str1)) ? str14 : (!str15.InList(str14,str13,str12,str11,str10,str9,str8,str7,str6,str5,str4,str3,seg_str2,seg_str1)) ? str15 :-999) : -999 [3] seg_str4: (n_str>3) ? ((!str4.InList(seg_str3,seg_str2,seg_str1)) ? str4 : (!str5.InList(str4,seg_str3,seg_str2,seg_str1)) ? str5 : (!str6.InList(str5,str4,seg_str3,seg_str2,seg_str1)) ? str6 : (!str7.InList(str6,str5,str4,seg_str3,seg_str2,seg_str1)) ? str7 : (!str8.InList(str7,str6,str5,str4,seg_str3,seg_str2,seg_str1)) ? str8 : (!str9.InList(str8,str7,str6,str5,str4,seg_str3,seg_str2,seg_str1)) ? str9 : (!str10.InList(str9,str8,str7,str6,str5,str4,seg_str3,seg_str2,seg_str1)) ? str10 : (!str11.InList(str10,str9,str8,str7,str6,str5,str4,seg_str3,seg_str2,seg_str1)) ? str11 : (!str12.InList(str11,str10,str9,str8,str7,str6,str5,str4,seg_str3,seg_str2,seg_str1)) ? str12 : (!str13.InList(str12,str11,str10,str9,str8,str7,str6,str5,str4,seg_str3,seg_str2,seg_str1)) ? str13 : (!str14.InList(str13,str12,str11,str10,str9,str8,str7,str6,str5,str4,seg_str3,seg_str2,seg_str1)) ? str14 : (!str15.InList(str14,str13,str12,str11,str10,str9,str8,str7,str6,str5,str4,seg_str3,seg_str2,seg_str1)) ? str15 :- 999) : -999 [4] seg_str5: (n_str>4) ? ((!str5.InList(seg_str4,seg_str3,seg_str2,seg_str1)) ? str5 : (!str6.InList(str5,str4,seg_str3,seg_str2,seg_str1)) ? str6 : (!str7.InList(str6,str5,seg_str4,seg_str3,seg_str2,seg_str1)) ? str7 : (!str8.InList(str7,str6,str5,seg_str4,seg_str3,seg_str2,seg_str1)) ? str8 : (!str9.InList(str8,str7,str6,str5,seg_str4,seg_str3,seg_str2,seg_str1)) ? str9 : (!str10.InList(str9,str8,str7,str6,str5,seg_str4,seg_str3,seg_str2,seg_str1)) ? str10 : (!str11.InList(str10,str9,str8,str7,str6,str5,seg_str4,seg_str3,seg_str2,seg_str1)) ? str11 : (!str12.InList(str11,str10,str9,str8,str7,str6,str5,seg_str4,seg_str3,seg_str2,seg_str1)) ? str12 : (!str13.InList(str12,str11,str10,str9,str8,str7,str6,str5,seg_str4,seg_str3,seg_str2,seg_str1)) ? str13 : (!str14.InList(str13,str12,str11,str10,str9,str8,str7,str6,str5,seg_str4,seg_str3,seg_str2,seg_str1)) ? str14 : (!str15.InList(str14,str13,str12,str11,str10,str9,str8,str7,str6,str5,seg_str4,seg_str3,seg_str2,seg_str1)) ? str15 :-999) : -999 [5] seg_hh2: (nhh>1) ? (((int)hh2!=(int)hh1) ? hh2 : (!hh3.InList(hh2,hh1)) ? hh3 : (!hh4.InList(hh3,hh2,hh1)) ? hh4 : (!hh5.InList(hh4,hh3,hh2,hh1)) ? hh5 : (!hh6.InList(hh5,hh4,hh3,hh2,hh1)) ? hh6 : (!hh7.InList(hh6,hh5,hh4,hh3,hh2,hh1)) ? hh7 : (!hh8.InList(hh7,hh6,hh5,hh4,hh3,hh2,hh1)) ? hh8 : (!hh9.InList(hh8,hh7,hh6,hh5,hh4,hh3,hh2,hh1)) ? hh9 : (!hh10.InList(hh9,hh8,hh7,hh6,hh5,hh4,hh3,hh2,hh1)) ? hh10 : (!hh11.InList(hh10,hh9,hh8,hh7,hh6,hh5,hh4,hh3,hh2,hh1)) ? hh11 : (!hh12.InList(hh11,hh10,hh9,hh8,hh7,hh6,hh5,hh4,hh3,hh2,hh1)) ? hh12 : (!hh13.InList(hh12,hh11,hh10,hh9,hh8,hh7,hh6,hh5,hh4,hh3,hh2,hh1)) ? hh13 : (!hh14.InList(hh13,hh12,hh11,hh10,hh9,hh8,hh7,hh6,hh5,hh4,hh3,hh2,hh1)) ? hh14 : (!hh15.InList(hh14,hh13,hh12,hh11,hh10,hh9,hh8,hh7,hh6,hh5,hh4,hh3,hh2,hh1)) ? hh15 :-999) : -999 [6] seg_hh3: (nhh>2) ? ((!hh3.InList(seg_hh2,seg_hh1)) ? hh3 : (!hh4.InList(hh3,seg_hh2,seg_hh1)) ? hh4 : (!hh5.InList(hh4,hh3,seg_hh2,seg_hh1)) ? hh5 : (!hh6.InList(hh5,hh4,hh3,seg_hh2,hh1)) ? hh6 : (!hh7.InList(hh6,hh5,hh4,hh3,seg_hh2,hh1)) ? hh7 : (!hh8.InList(hh7,hh6,hh5,hh4,hh3,seg_hh2,hh1)) ? hh8 : (!hh9.InList(hh8,hh7,hh6,hh5,hh4,hh3,seg_hh2,hh1)) ? hh9 : (!hh10.InList(hh9,hh8,hh7,hh6,hh5,hh4,hh3,seg_hh2,hh1)) ? hh10 : (!hh11.InList(hh10,hh9,hh8,hh7,hh6,hh5,hh4,hh3,seg_hh2,hh1)) ? hh11 : (!hh12.InList(hh11,hh10,hh9,hh8,hh7,hh6,hh5,hh4,hh3,seg_hh2,hh1)) ? hh12 : (!hh13.InList(hh12,hh11,hh10,hh9,hh8,hh7,hh6,hh5,hh4,hh3,seg_hh2,hh1)) ? hh13 : (!hh14.InList(hh13,hh12,hh11,hh10,hh9,hh8,hh7,hh6,hh5,hh4,hh3,seg_hh2,hh1)) ? hh14 : (!hh15.InList(hh14,hh13,hh12,hh11,hh10,hh9,hh8,hh7,hh6,hh5,hh4,hh3,seg_hh2,hh1)) ? hh15 :-999) : -999 [7] seg_hh4: (nhh>3) ? ((!hh4.InList(seg_hh3,seg_hh2,seg_hh1)) ? hh4 : (!hh5.InList(hh4,seg_hh3,seg_hh2,seg_hh1)) ? hh5 : (!hh6.InList(hh5,hh4,seg_hh3,seg_hh2,hh1)) ? hh6 : (!hh7.InList(hh6,hh5,hh4,seg_hh3,seg_hh2,hh1)) ? hh7 : (!hh8.InList(hh7,hh6,hh5,hh4,seg_hh3,seg_hh2,hh1)) ? hh8 : (!hh9.InList(hh8,hh7,hh6,hh5,hh4,seg_hh3,seg_hh2,hh1)) ? hh9 : (!hh10.InList(hh9,hh8,hh7,hh6,hh5,hh4,seg_hh3,seg_hh2,hh1)) ? hh10 : (!hh11.InList(hh10,hh9,hh8,hh7,hh6,hh5,hh4,seg_hh3,seg_hh2,hh1)) ? hh11 : (!hh12.InList(hh11,hh10,hh9,hh8,hh7,hh6,hh5,hh4,seg_hh3,seg_hh2,hh1)) ? hh12 : (!hh13.InList(hh12,hh11,hh10,hh9,hh8,hh7,hh6,hh5,hh4,seg_hh3,seg_hh2,hh1)) ? hh13 : (!hh14.InList(hh13,hh12,hh11,hh10,hh9,hh8,hh7,hh6,hh5,hh4,seg_hh3,seg_hh2,hh1)) ? hh14 : (!hh15.InList(hh14,hh13,hh12,hh11,hh10,hh9,hh8,hh7,hh6,hh5,hh4,seg_hh3,seg_hh2,hh1)) ? hh15 :-999) : -999 [8] seg_hh5: (nhh>4) ? ((!hh5.InList(seg_hh4,seg_hh3,seg_hh2,seg_hh1)) ? hh5 : (!hh6.InList(hh5,seg_hh4,seg_hh3,seg_hh2,hh1)) ? hh6 : (!hh7.InList(hh6,hh5,seg_hh4,seg_hh3,seg_hh2,hh1)) ? hh7 : (!hh8.InList(hh7,hh6,hh5,seg_hh4,seg_hh3,seg_hh2,hh1)) ? hh8 : (!hh9.InList(hh8,hh7,hh6,hh5,seg_hh4,seg_hh3,seg_hh2,hh1)) ? hh9 : (!hh10.InList(hh9,hh8,hh7,hh6,hh5,seg_hh4,seg_hh3,seg_hh2,hh1)) ? hh10 : (!hh11.InList(hh10,hh9,hh8,hh7,hh6,hh5,seg_hh4,seg_hh3,seg_hh2,hh1)) ? hh11 : (!hh12.InList(hh11,hh10,hh9,hh8,hh7,hh6,hh5,seg_hh4,seg_hh3,seg_hh2,hh1)) ? hh12 : (!hh13.InList(hh12,hh11,hh10,hh9,hh8,hh7,hh6,hh5,seg_hh4,seg_hh3,seg_hh2,hh1)) ? hh13 : (!hh14.InList(hh13,hh12,hh11,hh10,hh9,hh8,hh7,hh6,hh5,seg_hh4,seg_hh3,seg_hh2,hh1)) ? hh14 : (!hh15.InList(hh14,hh13,hh12,hh11,hh10,hh9,hh8,hh7,hh6,hh5,seg_hh4,seg_hh3,seg_hh2,hh1)) ? hh15 :-999) : -999 [9] hhh_name: // if household head is present, assign that person's name hhh_presence>0 ? hh_list.First(x=>x.Item1==hhh_id0.Last()).Item2 : // else if head is absent, assign the name of the person hhh_presence==0 ? hh_list.First(x=>x.Item1==hhh_id1.Last()).Item2 : // otherwise, assign null hh_list.First(x=>x.Item1==hhh_id0.Last()).Item2 [10] hhh_id: // if household head is present, assign that person's id hhh_presence>0 ? hhh_id0_int : // else if head is absent, assign the id of the person hhh_presence==0 ? hhh_id1_int : // otherwise, assign null hhh_id0_int [11] electricity_str: (light==1) ? "National Grid Connection" : (light==2) ? "Local Mini Grid" : (light==3) ? "Diesel Generator" : (light==4) ? "Solar Home System" : (light==5) ? "Solar Lantern/Lighting System" : (light==6) ? "Rechargeable Battery" : "Other source" [12] cook_str: (cook==1) ? "Wood" : (cook==2) ? "Charcoal" : (cook==3) ? "Gas" : (cook==4) ? "Electricity" : (cook==5) ? "Paraffin / Kerosene" : (cook==6) ? "Grass" : (cook==7) ? "Biogas" : (cook==8) ? "Coal/lignite" : (cook==9) ? "Solar" : (cook==10) ? "Animal Waste/Dung" : (cook==11) ? "Crop Residue/Plant Biomass" : (cook==12) ? "Saw Dust" : (cook==13) ? "Coal Briquette" : (cook==14) ? "Biomass Briquette" : (cook==15) ? "Processed biomass (pellets)/ woodchips" : (cook==16) ? "Ethanol" : (cook==17) ? "LPG/ cooking gas" : (cook==18) ? "Piped Natural Gas" : (cook==19) ? "Garbage/plastic" : "Other source" [13] last_bread_s: // extract string from last_bread response last_bread==1 ? "Today" : last_bread==2 ? "Yesterday": last_bread==3 ? "2 days ago": last_bread==4 ? "3 days ago" : last_bread==5 ? "4 days ago" : last_bread==6 ? "5 days ago": last_bread==7 ? "6 days ago": "" [14] last_meat_s: // extract string from last_bread response last_meat==1 ? "Today" : last_meat==2 ? "Yesterday": last_meat== 3 ? "2 days ago": last_meat==4 ? "3 days ago" : last_meat==5 ? "4 days ago" : last_meat==6 ? "5 days ago": last_meat==7 ? "6 days ago": "" [15] last_fruit_s: // extract string from last_fruit response last_fruit==1 ? "Today" : last_fruit==2 ? "Yesterday": last_fruit== 3 ? "2 days ago": last_fruit==4 ? "3 days ago" : last_fruit==5 ? "4 days ago" : last_fruit==6 ? "5 days ago": last_fruit==7 ? "6 days ago": "" [16] last_pulses_s: // extract string from last_bread response last_pulses==1 ? "Today" : last_pulses==2 ? "Yesterday": last_pulses==3 ? "2 days ago": last_pulses==4 ? "3 days ago" : last_pulses==5 ? "4 days ago" : last_pulses==6 ? "5 days ago": last_pulses==7 ? "6 days ago": "" [17] rf_food_cons_unit_br: rf_food_int_br*100 + (((rf_cons_unit_br==1) ? 1:0) + ((rf_cons_unit_br==2) ? 2:0) + ((rf_cons_unit_br==3) ? 3:0) + ((rf_cons_unit_br==4) ? 4:0) + ((rf_cons_unit_br==5) ? 5:0) + ((rf_cons_unit_br==6) ? 6:0) + ((rf_cons_unit_br==7) ? 7:0) + ((rf_cons_unit_br==8) ? 8:0) + ((rf_cons_unit_br==9) ? 9:0) + ((rf_cons_unit_br==10) ? 10:0) + ((rf_cons_unit_br==11) ? 11:0) + ((rf_cons_unit_br==12) ? 12:0) + ((rf_cons_unit_br==13) ? 13:0) + ((rf_cons_unit_br==14) ? 14:0) + ((rf_cons_unit_br==15) ? 15:0) + ((rf_cons_unit_br==16) ? 16:0) + ((rf_cons_unit_br==17) ? 17:0) + ((rf_cons_unit_br==18) ? 18:0) + ((rf_cons_unit_br==19) ? 19:0) + ((rf_cons_unit_br==20) ? 20:0) + ((rf_cons_unit_br==21) ? 21:0) + ((rf_cons_unit_br==22) ? 22:0) + ((rf_cons_unit_br==23) ? 23:0) + ((rf_cons_unit_br==24) ? 24:0) + ((rf_cons_unit_br==25) ? 25:0) + ((rf_cons_unit_br==26) ? 26:0) + ((rf_cons_unit_br==27) ? 27:0) + ((rf_cons_unit_br==28) ? 28:0) + ((rf_cons_unit_br==29) ? 29:0) + ((rf_cons_unit_br==30) ? 30:0) + ((rf_cons_unit_br==31) ? 31:0) + ((rf_cons_unit_br==32) ? 32:0) + ((rf_cons_unit_br==33) ? 33:0) + ((rf_cons_unit_br==34) ? 34:0) + ((rf_cons_unit_br==35) ? 35:0) + ((rf_cons_unit_br==36) ? 36:0) + ((rf_cons_unit_br==37) ? 37:0) + ((rf_cons_unit_br==38) ? 38:0) + ((rf_cons_unit_br==39) ? 39:0) + ((rf_cons_unit_br==40) ? 40:0) + ((rf_cons_unit_br==41) ? 41:0) + ((rf_cons_unit_br==42) ? 42:0)) [18] rf_purc_unit_int_br: ((rf_purc_unit_br==1) ? 1:0) + ((rf_purc_unit_br==2) ? 2:0) + ((rf_purc_unit_br==3) ? 3:0) + ((rf_purc_unit_br==4) ? 4:0) + ((rf_purc_unit_br==5) ? 5:0) + ((rf_purc_unit_br==6) ? 6:0) + ((rf_purc_unit_br==7) ? 7:0) + ((rf_purc_unit_br==8) ? 8:0) + ((rf_purc_unit_br==9) ? 9:0) + ((rf_purc_unit_br==10) ? 10:0) + ((rf_purc_unit_br==11) ? 11:0) + ((rf_purc_unit_br==12) ? 12:0) + ((rf_purc_unit_br==13) ? 13:0) + ((rf_purc_unit_br==14) ? 14:0) + ((rf_purc_unit_br==15) ? 15:0) + ((rf_purc_unit_br==16) ? 16:0) + ((rf_purc_unit_br==17) ? 17:0) + ((rf_purc_unit_br==18) ? 18:0) + ((rf_purc_unit_br==19) ? 19:0) + ((rf_purc_unit_br==20) ? 20:0) + ((rf_purc_unit_br==21) ? 21:0) + ((rf_purc_unit_br==22) ? 22:0) + ((rf_purc_unit_br==23) ? 23:0) + ((rf_purc_unit_br==24) ? 24:0) + ((rf_purc_unit_br==25) ? 25:0) + ((rf_purc_unit_br==26) ? 26:0) + ((rf_purc_unit_br==27) ? 27:0) + ((rf_purc_unit_br==28) ? 28:0) + ((rf_purc_unit_br==29) ? 29:0) + ((rf_purc_unit_br==30) ? 30:0) + ((rf_purc_unit_br==31) ? 31:0) + ((rf_purc_unit_br==32) ? 32:0) + ((rf_purc_unit_br==33) ? 33:0) + ((rf_purc_unit_br==34) ? 34:0) + ((rf_purc_unit_br==35) ? 35:0) + ((rf_purc_unit_br==36) ? 36:0) + ((rf_purc_unit_br==37) ? 37:0) + ((rf_purc_unit_br==38) ? 38:0) + ((rf_purc_unit_br==39) ? 39:0) + ((rf_purc_unit_br==40) ? 40:0) + ((rf_purc_unit_br==41) ? 41:0) + ((rf_purc_unit_br==42) ? 42:0) [19] rf_food_cons_unit_m: rf_food_int_m*100 + (((rf_cons_unit_m==1) ? 1:0) + ((rf_cons_unit_m==2) ? 2:0) + ((rf_cons_unit_m==3) ? 3:0) + ((rf_cons_unit_m==4) ? 4:0) + ((rf_cons_unit_m==5) ? 5:0) + ((rf_cons_unit_m==6) ? 6:0) + ((rf_cons_unit_m==7) ? 7:0) + ((rf_cons_unit_m==8) ? 8:0) + ((rf_cons_unit_m==9) ? 9:0) + ((rf_cons_unit_m==10) ? 10:0) + ((rf_cons_unit_m==11) ? 11:0) + ((rf_cons_unit_m==12) ? 12:0) + ((rf_cons_unit_m==13) ? 13:0) + ((rf_cons_unit_m==14) ? 14:0) + ((rf_cons_unit_m==15) ? 15:0) + ((rf_cons_unit_m==16) ? 16:0) + ((rf_cons_unit_m==17) ? 17:0) + ((rf_cons_unit_m==18) ? 18:0) + ((rf_cons_unit_m==19) ? 19:0) + ((rf_cons_unit_m==20) ? 20:0) + ((rf_cons_unit_m==21) ? 21:0) + ((rf_cons_unit_m==22) ? 22:0) + ((rf_cons_unit_m==23) ? 23:0) + ((rf_cons_unit_m==24) ? 24:0) + ((rf_cons_unit_m==25) ? 25:0) + APPENDIX E — VARIABLES 76 / 79 ((rf_cons_unit_m==26) ? 26:0) + ((rf_cons_unit_m==27) ? 27:0) + ((rf_cons_unit_m==28) ? 28:0) + ((rf_cons_unit_m==29) ? 29:0) + ((rf_cons_unit_m==30) ? 30:0) + ((rf_cons_unit_m==31) ? 31:0) + ((rf_cons_unit_m==32) ? 32:0) + ((rf_cons_unit_m==33) ? 33:0) + ((rf_cons_unit_m==34) ? 34:0) + ((rf_cons_unit_m==35) ? 35:0) + ((rf_cons_unit_m==36) ? 36:0) + ((rf_cons_unit_m==37) ? 37:0) + ((rf_cons_unit_m==38) ? 38:0) + ((rf_cons_unit_m==39) ? 39:0) + ((rf_cons_unit_m==40) ? 40:0) + ((rf_cons_unit_m==41) ? 41:0) + ((rf_cons_unit_m==42) ? 42:0)) [20] rf_purc_unit_int_m: ((rf_purc_unit_m==1) ? 1:0) + ((rf_purc_unit_m==2) ? 2:0) + ((rf_purc_unit_m==3) ? 3:0) + ((rf_purc_unit_m==4) ? 4:0) + ((rf_purc_unit_m==5) ? 5:0) + ((rf_purc_unit_m==6) ? 6:0) + ((rf_purc_unit_m==7) ? 7:0) + ((rf_purc_unit_m==8) ? 8:0) + ((rf_purc_unit_m==9) ? 9:0) + ((rf_purc_unit_m==10) ? 10:0) + ((rf_purc_unit_m==11) ? 11:0) + ((rf_purc_unit_m==12) ? 12:0) + ((rf_purc_unit_m==13) ? 13:0) + ((rf_purc_unit_m==14) ? 14:0) + ((rf_purc_unit_m==15) ? 15:0) + ((rf_purc_unit_m==16) ? 16:0) + ((rf_purc_unit_m==17) ? 17:0) + ((rf_purc_unit_m==18) ? 18:0) + ((rf_purc_unit_m==19) ? 19:0) + ((rf_purc_unit_m==20) ? 20:0) + ((rf_purc_unit_m==21) ? 21:0) + ((rf_purc_unit_m==22) ? 22:0) + ((rf_purc_unit_m==23) ? 23:0) + ((rf_purc_unit_m==24) ? 24:0) + ((rf_purc_unit_m==25) ? 25:0) + ((rf_purc_unit_m==26) ? 26:0) + ((rf_purc_unit_m==27) ? 27:0) + ((rf_purc_unit_m==28) ? 28:0) + ((rf_purc_unit_m==29) ? 29:0) + ((rf_purc_unit_m==30) ? 30:0) + ((rf_purc_unit_m==31) ? 31:0) + ((rf_purc_unit_m==32) ? 32:0) + ((rf_purc_unit_m==33) ? 33:0) + ((rf_purc_unit_m==34) ? 34:0) + ((rf_purc_unit_m==35) ? 35:0) + ((rf_purc_unit_m==36) ? 36:0) + ((rf_purc_unit_m==37) ? 37:0) + ((rf_purc_unit_m==38) ? 38:0) + ((rf_purc_unit_m==39) ? 39:0) + ((rf_purc_unit_m==40) ? 40:0) + ((rf_purc_unit_m==41) ? 41:0) + ((rf_purc_unit_m==42) ? 42:0) [21] rf_food_cons_unit_f: rf_food_int_f*100 + (((rf_cons_unit_f==1) ? 1:0) + ((rf_cons_unit_f==2) ? 2:0) + ((rf_cons_unit_f==3) ? 3:0) + ((rf_cons_unit_f==4) ? 4:0) + ((rf_cons_unit_f==5) ? 5:0) + ((rf_cons_unit_f==6) ? 6:0) + ((rf_cons_unit_f==7) ? 7:0) + ((rf_cons_unit_f==8) ? 8:0) + ((rf_cons_unit_f==9) ? 9:0) + ((rf_cons_unit_f==10) ? 10:0) + ((rf_cons_unit_f==11) ? 11:0) + ((rf_cons_unit_f==12) ? 12:0) + ((rf_cons_unit_f==13) ? 13:0) + ((rf_cons_unit_f==14) ? 14:0) + ((rf_cons_unit_f==15) ? 15:0) + ((rf_cons_unit_f==16) ? 16:0) + ((rf_cons_unit_f==17) ? 17:0) + ((rf_cons_unit_f==18) ? 18:0) + ((rf_cons_unit_f==19) ? 19:0) + ((rf_cons_unit_f==20) ? 20:0) + ((rf_cons_unit_f==21) ? 21:0) + ((rf_cons_unit_f==22) ? 22:0) + ((rf_cons_unit_f==23) ? 23:0) + ((rf_cons_unit_f==24) ? 24:0) + ((rf_cons_unit_f==25) ? 25:0) + ((rf_cons_unit_f==26) ? 26:0) + ((rf_cons_unit_f==27) ? 27:0) + ((rf_cons_unit_f==28) ? 28:0) + ((rf_cons_unit_f==29) ? 29:0) + ((rf_cons_unit_f==30) ? 30:0) + ((rf_cons_unit_f==31) ? 31:0) + ((rf_cons_unit_f==32) ? 32:0) + ((rf_cons_unit_f==33) ? 33:0) + ((rf_cons_unit_f==34) ? 34:0) + ((rf_cons_unit_f==35) ? 35:0) + ((rf_cons_unit_f==36) ? 36:0) + ((rf_cons_unit_f==37) ? 37:0) + ((rf_cons_unit_f==38) ? 38:0) + ((rf_cons_unit_f==39) ? 39:0) + ((rf_cons_unit_f==40) ? 40:0) + ((rf_cons_unit_f==41) ? 41:0) + ((rf_cons_unit_f==42) ? 42:0)) [22] rf_purc_unit_int_f: ((rf_purc_unit_f==1) ? 1:0) + ((rf_purc_unit_f==2) ? 2:0) + ((rf_purc_unit_f==3) ? 3:0) + ((rf_purc_unit_f==4) ? 4:0) + ((rf_purc_unit_f==5) ? 5:0) + ((rf_purc_unit_f==6) ? 6:0) + ((rf_purc_unit_f==7) ? 7:0) + ((rf_purc_unit_f==8) ? 8:0) + ((rf_purc_unit_f==9) ? 9:0) + ((rf_purc_unit_f==10) ? 10:0) + ((rf_purc_unit_f==11) ? 11:0) + ((rf_purc_unit_f==12) ? 12:0) + ((rf_purc_unit_f==13) ? 13:0) + ((rf_purc_unit_f==14) ? 14:0) + ((rf_purc_unit_f==15) ? 15:0) + ((rf_purc_unit_f==16) ? 16:0) + ((rf_purc_unit_f==17) ? 17:0) + ((rf_purc_unit_f==18) ? 18:0) + ((rf_purc_unit_f==19) ? 19:0) + ((rf_purc_unit_f==20) ? 20:0) + ((rf_purc_unit_f==21) ? 21:0) + ((rf_purc_unit_f==22) ? 22:0) + ((rf_purc_unit_f==23) ? 23:0) + ((rf_purc_unit_f==24) ? 24:0) + ((rf_purc_unit_f==25) ? 25:0) + ((rf_purc_unit_f==26) ? 26:0) + ((rf_purc_unit_f==27) ? 27:0) + ((rf_purc_unit_f==28) ? 28:0) + ((rf_purc_unit_f==29) ? 29:0) + ((rf_purc_unit_f==30) ? 30:0) + ((rf_purc_unit_f==31) ? 31:0) + ((rf_purc_unit_f==32) ? 32:0) + ((rf_purc_unit_f==33) ? 33:0) + ((rf_purc_unit_f==34) ? 34:0) + ((rf_purc_unit_f==35) ? 35:0) + ((rf_purc_unit_f==36) ? 36:0) + ((rf_purc_unit_f==37) ? 37:0) + ((rf_purc_unit_f==38) ? 38:0) + ((rf_purc_unit_f==39) ? 39:0) + ((rf_purc_unit_f==40) ? 40:0) + ((rf_purc_unit_f==41) ? 41:0) + ((rf_purc_unit_f==42) ? 42:0) [23] rf_food_cons_unit_p: rf_food_int_p*100 + (((rf_cons_unit_p==1) ? 1:0) + ((rf_cons_unit_p==2) ? 2:0) + ((rf_cons_unit_p==3) ? 3:0) + ((rf_cons_unit_p==4) ? 4:0) + ((rf_cons_unit_p==5) ? 5:0) + ((rf_cons_unit_p==6) ? 6:0) + ((rf_cons_unit_p==7) ? 7:0) + ((rf_cons_unit_p==8) ? 8:0) + ((rf_cons_unit_p==9) ? 9:0) + ((rf_cons_unit_p==10) ? 10:0) + ((rf_cons_unit_p==11) ? 11:0) + ((rf_cons_unit_p==12) ? 12:0) + ((rf_cons_unit_p==13) ? 13:0) + ((rf_cons_unit_p==14) ? 14:0) + ((rf_cons_unit_p==15) ? 15:0) + ((rf_cons_unit_p==16) ? 16:0) + ((rf_cons_unit_p==17) ? 17:0) + ((rf_cons_unit_p==18) ? 18:0) + ((rf_cons_unit_p==19) ? 19:0) + ((rf_cons_unit_p==20) ? 20:0) + ((rf_cons_unit_p==21) ? 21:0) + ((rf_cons_unit_p==22) ? 22:0) + ((rf_cons_unit_p==23) ? 23:0) + ((rf_cons_unit_p==24) ? 24:0) + ((rf_cons_unit_p==25) ? 25:0) + ((rf_cons_unit_p==26) ? 26:0) + ((rf_cons_unit_p==27) ? 27:0) + ((rf_cons_unit_p==28) ? 28:0) + ((rf_cons_unit_p==29) ? 29:0) + ((rf_cons_unit_p==30) ? 30:0) + ((rf_cons_unit_p==31) ? 31:0) + ((rf_cons_unit_p==32) ? 32:0) + ((rf_cons_unit_p==33) ? 33:0) + ((rf_cons_unit_p==34) ? 34:0) + ((rf_cons_unit_p==35) ? 35:0) + ((rf_cons_unit_p==36) ? 36:0) + ((rf_cons_unit_p==37) ? 37:0) + ((rf_cons_unit_p==38) ? 38:0) + ((rf_cons_unit_p==39) ? 39:0) + ((rf_cons_unit_p==40) ? 40:0) + ((rf_cons_unit_p==41) ? 41:0) + ((rf_cons_unit_p==42) ? 42:0)) [24] rf_purc_unit_int_p: ((rf_purc_unit_p==1) ? 1:0) + ((rf_purc_unit_p==2) ? 2:0) + ((rf_purc_unit_p==3) ? 3:0) + ((rf_purc_unit_p==4) ? 4:0) + ((rf_purc_unit_p==5) ? 5:0) + ((rf_purc_unit_p==6) ? 6:0) + ((rf_purc_unit_p==7) ? 7:0) + ((rf_purc_unit_p==8) ? 8:0) + ((rf_purc_unit_p==9) ? 9:0) + ((rf_purc_unit_p==10) ? 10:0) + ((rf_purc_unit_p==11) ? 11:0) + ((rf_purc_unit_p==12) ? 12:0) + ((rf_purc_unit_p==13) ? 13:0) + ((rf_purc_unit_p==14) ? 14:0) + ((rf_purc_unit_p==15) ? 15:0) + ((rf_purc_unit_p==16) ? 16:0) + ((rf_purc_unit_p==17) ? 17:0) + ((rf_purc_unit_p==18) ? 18:0) + ((rf_purc_unit_p==19) ? 19:0) + ((rf_purc_unit_p==20) ? 20:0) + ((rf_purc_unit_p==21) ? 21:0) + ((rf_purc_unit_p==22) ? 22:0) + ((rf_purc_unit_p==23) ? 23:0) + ((rf_purc_unit_p==24) ? 24:0) + ((rf_purc_unit_p==25) ? 25:0) + ((rf_purc_unit_p==26) ? 26:0) + ((rf_purc_unit_p==27) ? 27:0) + ((rf_purc_unit_p==28) ? 28:0) + ((rf_purc_unit_p==29) ? 29:0) + ((rf_purc_unit_p==30) ? 30:0) + ((rf_purc_unit_p==31) ? 31:0) + ((rf_purc_unit_p==32) ? 32:0) + ((rf_purc_unit_p==33) ? 33:0) + ((rf_purc_unit_p==34) ? 34:0) + ((rf_purc_unit_p==35) ? 35:0) + ((rf_purc_unit_p==36) ? 36:0) + ((rf_purc_unit_p==37) ? 37:0) + ((rf_purc_unit_p==38) ? 38:0) + ((rf_purc_unit_p==39) ? 39:0) + ((rf_purc_unit_p==40) ? 40:0) + ((rf_purc_unit_p==41) ? 41:0) + ((rf_purc_unit_p==42) ? 42:0) [25] rf_food_cons_unit: rf_food_int*100 + (((rf_cons_unit==1) ? 1:0) + ((rf_cons_unit==2) ? 2:0) + ((rf_cons_unit==3) ? 3:0) + ((rf_cons_unit==4) ? 4:0) + ((rf_cons_unit==5) ? 5:0) + ((rf_cons_unit==6) ? 6:0) + ((rf_cons_unit==7) ? 7:0) + ((rf_cons_unit==8) ? 8:0) + ((rf_cons_unit==9) ? 9:0) + ((rf_cons_unit==10) ? 10:0) + ((rf_cons_unit==11) ? 11:0) + ((rf_cons_unit==12) ? 12:0) + ((rf_cons_unit==13) ? 13:0) + ((rf_cons_unit==14) ? 14:0) + ((rf_cons_unit==15) ? 15:0) + ((rf_cons_unit==16) ? 16:0) + ((rf_cons_unit==17) ? 17:0) + ((rf_cons_unit==18) ? 18:0) + ((rf_cons_unit==19) ? 19:0) + ((rf_cons_unit==20) ? 20:0) + ((rf_cons_unit==21) ? 21:0) + ((rf_cons_unit==22) ? 22:0) + ((rf_cons_unit==23) ? 23:0) + ((rf_cons_unit==24) ? 24:0) + ((rf_cons_unit==25) ? 25:0) + ((rf_cons_unit==26) ? 26:0) + ((rf_cons_unit==27) ? 27:0) + ((rf_cons_unit==28) ? 28:0) + ((rf_cons_unit==29) ? 29:0) + ((rf_cons_unit==30) ? 30:0) + ((rf_cons_unit==31) ? 31:0) + ((rf_cons_unit==32) ? 32:0) + ((rf_cons_unit==33) ? 33:0) + ((rf_cons_unit==34) ? 34:0) + ((rf_cons_unit==35) ? 35:0) + ((rf_cons_unit==36) ? 36:0) + ((rf_cons_unit==37) ? 37:0) + ((rf_cons_unit==38) ? 38:0) + ((rf_cons_unit==39) ? 39:0) + ((rf_cons_unit==40) ? 40:0) + ((rf_cons_unit==41) ? 41:0) + ((rf_cons_unit==42) ? 42:0)) [26] rf_purc_unit_int: ((rf_purc_unit==1) ? 1:0) + ((rf_purc_unit==2) ? 2:0) + ((rf_purc_unit==3) ? 3:0) + ((rf_purc_unit==4) ? 4:0) + ((rf_purc_unit==5) ? 5:0) + ((rf_purc_unit==6) ? 6:0) + ((rf_purc_unit==7) ? 7:0) + ((rf_purc_unit==8) ? 8:0) + ((rf_purc_unit==9) ? 9:0) + ((rf_purc_unit==10) ? 10:0) + ((rf_purc_unit==11) ? 11:0) + ((rf_purc_unit==12) ? 12:0) + ((rf_purc_unit==13) ? 13:0) + ((rf_purc_unit==14) ? 14:0) + ((rf_purc_unit==15) ? 15:0) + ((rf_purc_unit==16) ? 16:0) + ((rf_purc_unit==17) ? 17:0) + ((rf_purc_unit==18) ? 18:0) + ((rf_purc_unit==19) ? 19:0) + ((rf_purc_unit==20) ? 20:0) + ((rf_purc_unit==21) ? 21:0) + ((rf_purc_unit==22) ? 22:0) + ((rf_purc_unit==23) ? 23:0) + ((rf_purc_unit==24) ? 24:0) + ((rf_purc_unit==25) ? 25:0) + ((rf_purc_unit==26) ? 26:0) + ((rf_purc_unit==27) ? 27:0) + ((rf_purc_unit==28) ? 28:0) + ((rf_purc_unit==29) ? 29:0) + ((rf_purc_unit==30) ? 30:0) + ((rf_purc_unit==31) ? 31:0) + ((rf_purc_unit==32) ? 32:0) + ((rf_purc_unit==33) ? 33:0) + ((rf_purc_unit==34) ? 34:0) + ((rf_purc_unit==35) ? 35:0) + ((rf_purc_unit==36) ? 36:0) + ((rf_purc_unit==37) ? 37:0) + ((rf_purc_unit==38) ? 38:0) + ((rf_purc_unit==39) ? 39:0) + ((rf_purc_unit==40) ? 40:0) + ((rf_purc_unit==41) ? 41:0) + ((rf_purc_unit==42) ? 42:0) [27] ra_nametitle: (@rowindex==0) ? "Cars" : (@rowindex==1) ? "Trucks" : (@rowindex==2) ? "Motorcycle/motor" : (@rowindex==3) ? "Rickshaw" : (@rowindex==4) ? "Bicycle" : (@rowindex==5) ? "Canoe or boat" : (@rowindex==6) ? "Plough" : (@rowindex==7) ? "Television" : (@rowindex==8) ? "Satellite dish" : (@rowindex==9) ? "DVD or CD player" : (@rowindex==10) ? "Radio or transistor" : (@rowindex==11) ? "Mobile phone" : (@rowindex==12) ? "Computer or laptop" : (@rowindex==13) ? "Refrigerator" : (@rowindex==14) ? "Washing machine" : (@rowindex==15) ? "Fan" : (@rowindex==16) ? "Air cooler or air conditioner" : (@rowindex==17) ? "Mattress or bed" : (@rowindex==18) ? "Mosquito net" : (@rowindex==19) ? "Electric ironer" : "Hoe, spade or axe" [28] ra_namels: (@rowcode==1) ? "car" : (@rowcode==2) ? "truck" : (@rowcode==3) ? "motorcycle/motor" : (@rowcode==4) ? "rickshaw" : (@rowcode==5) ? "bicycle" : (@rowcode==6) ? "canoe or boat" : (@rowcode==7) ? "plough" : (@rowcode==8) ? "television" : (@rowcode==9) ? "satellite dish" : (@rowcode==10) ? "DVD or CD player" : (@rowcode==11) ? "radio or transistor" : (@rowcode==12) ? "mobile phone" : (@rowcode==13) ? "computer or laptop" : (@rowcode==14) ? "refrigerator" : (@rowcode==15) ? "washing machine" : (@rowcode==16) ? "fan" : (@rowcode==17) ? "air cooler or air conditioner" : (@rowcode==18) ? "mattress or bed" : (@rowcode==19) ? "mosquito net" : (@rowcode==20) ? "electric ironer" : "Hoe, spade or axe" [29] ra_namelp: (@rowcode==1) ? "cars" : (@rowcode==2) ? "trucks" : (@rowcode==3) ? "motorcycles/motors" : (@rowcode==4) ? "rickshaws" : (@rowcode==5) ? "bicycles" : (@rowcode==6) ? "canoes or boats" : (@rowcode==7) ? "ploughs" : (@rowcode==8) ? "televisions" : (@rowcode==9) ? "satellite dishes" : (@rowcode==10) ? "DVD or CD players" : (@rowcode==11) ? "radios or transistors" : (@rowcode==12) ? "mobile phones" : (@rowcode==13) ? "computers or laptops" : (@rowcode==14) ? "refrigerators" : (@rowcode==15) ? "washing machines" : (@rowcode==16) ? "fans" : (@rowcode==17) ? "air coolers or air conditioners" : (@rowcode==18) ? "mattresses or beds" : (@rowcode==19) ? "mosquito nets" : (@rowcode==20) ? "electric ironers" : "Hoes, spades or axes" [30] ra_max_s: (@rowindex==0) ? 90000 : (@rowindex==1) ? 55000 : (@rowindex==2) ? 15000 : (@rowindex==3) ? 9000 : (@rowindex==4) ? 2000 : (@rowindex==5) ? 5000 : (@rowindex==6) ? 6000 : (@rowindex==7) ? 7000 : (@rowindex==8) ? 2500 : (@rowindex==9) ? 1500 : (@rowindex==10) ? 500 : (@rowindex==11) ? 2000 : (@rowindex==12) ? 5000 : (@rowindex==13) ? 4000 : (@rowindex==14) ? 4000 : (@rowindex==15) ? 500 : (@rowindex==16) ? 1000 : (@rowindex==17) ? 2000 : (@rowindex==18) ? 500 : (@rowindex==19) ? 250 : 1000 [31] ra_max_h: (@rowindex==0) ? 0.01 : (@rowindex==1) ? 0.01 : (@rowindex==2) ? 0.01 : (@rowindex==3) ? 0.01 : (@rowindex==4) ? 0.01 : (@rowindex==5) ? 0.01 : (@rowindex==6) ? 0.01 : (@rowindex==7) ? 0.01 : (@rowindex==8) ? 0.01 : (@rowindex==9) ? 0.01 : (@rowindex==10) ? 0.01 : (@rowindex==11) ? 0.01 : (@rowindex==12) ? 0.01 : (@rowindex==13) ? 0.01 : (@rowindex==14) ? 0.01 : (@rowindex==15) ? 0.01 : (@rowindex==16) ? 0.01 : (@rowindex==17) ? 0.01 : (@rowindex==18) ? 0.01 : (@rowindex==19) ? 0.01 : 0.01 [32] ra_namels_prev: (@rowcode==1) ? "car" : (@rowcode==2) ? "truck" : (@rowcode==3) ? "motorcycle/motor" : (@rowcode==4) ? "rickshaw" : (@rowcode==5) ? "bicycle" : (@rowcode==6) ? "canoe or boat" : (@rowcode==7) ? "plough" : (@rowcode==8) ? "television" : (@rowcode==9) ? "satellite dish" : (@rowcode==10) ? "DVD or CD player" : (@rowcode==11) ? "radio or transistor" : (@rowcode==12) ? "mobile phone" : (@rowcode==13) ? "computer or laptop" : (@rowcode==14) ? "refrigerator" : (@rowcode==15) ? "washing machine" : (@rowcode==16) ? "fan" : (@rowcode==17) ? "air cooler or air conditioner" : (@rowcode==18) ? "mattress or bed" : (@rowcode==19) ? "mosquito net" : (@rowcode==20) ? "electric ironer" : "Hoe, spade or axe" [33] ra_namelp_prev: (@rowcode==1) ? "cars" : (@rowcode==2) ? "trucks" : (@rowcode==3) ? "motorcycles/motors" : (@rowcode==4) ? "rickshaws" : (@rowcode==5) ? "bicycles" : (@rowcode==6) ? "canoes or boats" : (@rowcode==7) ? "ploughs" : (@rowcode==8) ? "televisions" : (@rowcode==9) ? "satellite dishes" : (@rowcode==10) ? "DVD or CD players" : (@rowcode==11) ? "radios or transistors" : (@rowcode==12) ? "mobile phones" : (@rowcode==13) ? "computers or laptops" : (@rowcode==14) ? "refrigerators" : (@rowcode==15) ? "washing machines" : (@rowcode==16) ? "fans" : (@rowcode==17) ? "air coolers or air conditioners" : (@rowcode==18) ? "mattresses or beds" : (@rowcode==19) ? "mosquito nets" : (@rowcode==20) ? "electric ironers" : "Hoes, spades or axes" APPENDIX E — VARIABLES 77 / 79 APPENDIX F — OPTIONS FILTERS [1] emp_7d_prim: B.56 Which was %rostertitle%'s main activity in the last 7 days? If %rostertitle% did not work in the past 7 days, what is the main activity to which he or she will return? (emp_7d_active==1 && ( @optioncode==emp_7d_a || @optioncode==emp_7d_b || @optioncode==emp_7d_f || @optioncode==emp_7d_h || @optioncode==emp_7d_p)) || (emp_7d_temp==1 && (@optioncode==1 || @optioncode==2 || @optioncode==3 || @optioncode==4 || @optioncode==5 || @optioncode==-98 || @optioncode== -99)) [2] rf_relevanceyn_br: D.4 Over the past 7 days, did anyone in your household consume any of the items listed below. Please record yes or no for each of the items below. (int)mod_opt == 1 && new decimal[]{10101,10102,10105,10106,10108,10109,10111,10115,10116,10103,10113,10118}.Contains(@optioncode) || (int)mod_opt == 2 && new decimal[] {10101,10102,10105,10106,10108,10109,10111,10115,10116,10119}.Contains(@optioncode) || (int)mod_opt == 3 && new decimal[] {10101,10102,10105,10106,10108,10109,10111,10115,10116,10104,10110,10114}.Contains(@optioncode) || (int)mod_opt == 4 && new decimal[] {10101,10102,10105,10106,10108,10109,10111,10115,10116,10107,10112,10117,10120}.Contains(@optioncode) [3] rf_relevanceyn_m: D.14 Over the past 7 days, did anyone in your household consume any of the items listed below. Please record yes or no for each of the items below. (int)mod_opt == 1 && new decimal[]{10201,10202,10207,10214,10301,10303,10204,10205,10206,10215,}.Contains(@optioncode) || (int)mod_opt == 2 && new decimal[] {10201,10202,10207,10214,10301,10303,10208,10209,10212,10213,10216,10218,10219,10304}.Contains(@optioncode) || (int)mod_opt == 3 && new decimal[] {10201,10202,10207,10214,10301,10303,10211,10217,10302}.Contains(@optioncode) || (int)mod_opt == 4 && new decimal[]{10201,10202,10207,10214,10301,10303,10203,10210}.Contains(@optioncode) [4] rf_relevanceyn_f: D.22 Over the past 7 days, did anyone in your household consume any of the items listed below. Please record yes or no for each of the items below. (int)mod_opt == 1 && new decimal[]{10604,10603,10609}.Contains(@optioncode) || (int)mod_opt == 2 && new decimal[]{10604,10607,10608}.Contains(@optioncode) || (int)mod_opt == 3 && new decimal[] {10604,10601,10610}.Contains(@optioncode) || (int)mod_opt == 4 && new decimal[]{10604,10602,10605,10606}.Contains(@optioncode) [5] rf_relevanceyn_p: D.30 Over the past 7 days, did anyone in your household consume any of the items listed below. Please record yes or no for each of the items below. (int)mod_opt == 1 && new decimal[]{10704,10705,10706,10714,10726,10708,10713,10715,10721,10724,10728}.Contains(@optioncode) || (int)mod_opt == 2 && new decimal[] {10704,10705,10706,10714,10726,10703,10709,10711,10717,10720,10725,10727}.Contains(@optioncode) || (int)mod_opt == 3 && new decimal[] {10704,10705,10706,10714,10726,10701,10707,10710,10718}.Contains(@optioncode) || (int)mod_opt == 4 && new decimal[] {10704,10705,10706,10714,10726,10702,10712,10716,10719,10722,10723}.Contains(@optioncode) [6] rf_relevanceyn_ot: D.37 Over the past 7 days, did anyone in your household consume any of the items listed below. Please record yes or no for each of the items below. (int)mod_opt == 1 && new decimal[] {10401,10402,10503,10801,10803,10908,11001,11106,11202,11404,11405,11406,10807,10901,10902,11005,11006,11101,11102,11103,11201,11203,11301,11304}.Contains(@optioncode) || (int)mod_opt == 2 && new decimal[]{10401,10402,10503,10801,10803,10908,11001,11106,11202,11404,11405,11406,10501,10911,11004,11105,11110,11111,11305,11407}.Contains(@optioncode) || (int)mod_opt == 3 && new decimal[] {10401,10402,10503,10801,10803,10908,11001,11106,11202,11404,11405,11406,10404,10502,10802,10806,10904,10905,10907,11002,11003,11104,11107,11302,11402,11408}.Contains(@optioncode) || (int)mod_opt == 4 && new decimal[] {10401,10402,10503,10801,10803,10908,11001,11106,11202,11404,11405,11406,10403,10804,10805,10808,10903,10906,10909,10910,11108,11303,11306,11401,11403}.Contains(@optioncode) [7] rf_cons_unit_br: D.5 What was the unit? @optioncode == fooditems[(int)@rowcode].u1 || @optioncode == fooditems[(int)@rowcode].u2 || @optioncode == fooditems[(int)@rowcode].u3 || @optioncode == fooditems[(int)@rowcode].u4 || @optioncode == fooditems[(int)@rowcode].u5 || @optioncode == fooditems[(int)@rowcode].u6 || @optioncode == fooditems[(int)@rowcode].u7 [8] rf_purc_unit_br: D.6 What was the unit? @optioncode == fooditems[(int)@rowcode].u1 || @optioncode == fooditems[(int)@rowcode].u2 || @optioncode == fooditems[(int)@rowcode].u3 || @optioncode == fooditems[(int)@rowcode].u4 || @optioncode == fooditems[(int)@rowcode].u5 || @optioncode == fooditems[(int)@rowcode].u6 || @optioncode == fooditems[(int)@rowcode].u7 [9] rf_cons_unit_m: D.15 What was the unit? @optioncode == fooditems[(int)@rowcode].u1 || @optioncode == fooditems[(int)@rowcode].u2 || @optioncode == fooditems[(int)@rowcode].u3 || @optioncode == fooditems[(int)@rowcode].u4 || @optioncode == fooditems[(int)@rowcode].u5 || @optioncode == fooditems[(int)@rowcode].u6 || @optioncode == fooditems[(int)@rowcode].u7 [10] rf_purc_unit_m: D.16 What was the unit? @optioncode == fooditems[(int)@rowcode].u1 || @optioncode == fooditems[(int)@rowcode].u2 || @optioncode == fooditems[(int)@rowcode].u3 || @optioncode == fooditems[(int)@rowcode].u4 || @optioncode == fooditems[(int)@rowcode].u5 || @optioncode == fooditems[(int)@rowcode].u6 || @optioncode == fooditems[(int)@rowcode].u7 [11] rf_cons_unit_f: D.23 What was the unit? @optioncode == fooditems[(int)@rowcode].u1 || @optioncode == fooditems[(int)@rowcode].u2 || @optioncode == fooditems[(int)@rowcode].u3 || @optioncode == fooditems[(int)@rowcode].u4 || @optioncode == fooditems[(int)@rowcode].u5 || @optioncode == fooditems[(int)@rowcode].u6 || @optioncode == fooditems[(int)@rowcode].u7 [12] rf_purc_unit_f: D.24 What was the unit? @optioncode == fooditems[(int)@rowcode].u1 || @optioncode == fooditems[(int)@rowcode].u2 || @optioncode == fooditems[(int)@rowcode].u3 || @optioncode == fooditems[(int)@rowcode].u4 || @optioncode == fooditems[(int)@rowcode].u5 || @optioncode == fooditems[(int)@rowcode].u6 || @optioncode == fooditems[(int)@rowcode].u7 [13] rf_cons_unit_p: D.31 What was the unit? @optioncode == fooditems[(int)@rowcode].u1 || @optioncode == fooditems[(int)@rowcode].u2 || @optioncode == fooditems[(int)@rowcode].u3 || @optioncode == fooditems[(int)@rowcode].u4 || @optioncode == fooditems[(int)@rowcode].u5 || @optioncode == fooditems[(int)@rowcode].u6 || @optioncode == fooditems[(int)@rowcode].u7 [14] rf_purc_unit_p: D.32 What was the unit? @optioncode == fooditems[(int)@rowcode].u1 || @optioncode == fooditems[(int)@rowcode].u2 || @optioncode == fooditems[(int)@rowcode].u3 || @optioncode == fooditems[(int)@rowcode].u4 || @optioncode == fooditems[(int)@rowcode].u5 || @optioncode == fooditems[(int)@rowcode].u6 || @optioncode == fooditems[(int)@rowcode].u7 [15] rf_cons_unit: D.38 What was the unit? @optioncode == fooditems[(int)@rowcode].u1 || @optioncode == fooditems[(int)@rowcode].u2 || @optioncode == fooditems[(int)@rowcode].u3 || @optioncode == fooditems[(int)@rowcode].u4 || @optioncode == fooditems[(int)@rowcode].u5 || @optioncode == fooditems[(int)@rowcode].u6 || @optioncode == fooditems[(int)@rowcode].u7 [16] rf_purc_unit: D.39 What was the unit? @optioncode == fooditems[(int)@rowcode].u1 || @optioncode == fooditems[(int)@rowcode].u2 || @optioncode == fooditems[(int)@rowcode].u3 || @optioncode == fooditems[(int)@rowcode].u4 || @optioncode == fooditems[(int)@rowcode].u5 || @optioncode == fooditems[(int)@rowcode].u6 || @optioncode == fooditems[(int)@rowcode].u7 [17] rnf_item: E.1 Over the past 30 days, did anyone in your household buy or receive for free any of the items listed below. Please record yes or no for each of the items listed below: (int)mod_opt == 1 && new decimal[] {20000,20101,20202,20203,20204,20301,20401,20402,20601,20602,20604,20608,20701,20702,20703,20802,20804,21001,21003,20403,20606,20611,20704,20903,20904,21006}.Contains(@optioncode) || (int)mod_opt == 2 && new decimal[] {20000,20101,20202,20203,20204,20301,20401,20402,20601,20602,20604,20608,20701,20702,20703,20802,20804,21001,21003,20302,20404,20502,20801,20803,20902,21008}.Contains(@optioncode) || (int)mod_opt == 3 && new decimal[] {20000,20101,20202,20203,20204,20301,20401,20402,20601,20602,20604,20608,20701,20702,20703,20802,20804,21001,21003,20201,20205,20603,20607,20901,20905,20910,21002,21004,21005,21009}.Contains(@optioncode) || (int)mod_opt == 4 && new decimal[] {20000,20101,20202,20203,20204,20301,20401,20402,20601,20602,20604,20608,20701,20702,20703,20802,20804,21001,21003,20102,20103,20501,20609,20610,21007}.Contains(@optioncode) [18] rnf_item_yr: E.2 Over the past 365 days, did anyone in your household buy or receive for free any of the items listed below. Please record yes or no for each of the items listed below: (int)mod_opt == 1 && new decimal[] {21102,21103,21104,21105,21301,21901,21902,21109,21203,21204,21205,21303,21401,21502,21503,21602,21604,21707,21801,21804,21805,22004}.Contains(@optioncode) || (int)mod_opt == 2 && new decimal[]{21102,21103,21104,21105,21301,21901,21902,20001,20605,21201,21202,21305,21402,21601,21603,21709,21802,21903,21904,22001,22005}.Contains(@optioncode) || (int)mod_opt == 3 && new decimal[]{21102,21103,21104,21105,21301,21901,21902,20909,21107,21403,21703,21704,21803,22002,22006}.Contains(@optioncode) || (int)mod_opt == 4 && new decimal[] {21102,21103,21104,21105,21301,21901,21902,20906,20907,20908,21101,21106,21108,21302,21304,21306,21307,21404,21501,21605,21701,21702,21705,21706,21708,22003}.Contains(@optioncode) APPENDIX F — OPTIONS FILTERS 78 / 79 LEGEND Legend and structure of information in this file LEGEND 79 / 79