66608 AFRICA HUMAN DEVELOPMENT SERIES The Status of the Education Sector in Sudan The Status of the Education Sector in Sudan AFRICA HUMAN DEVELOPMENT SERIES The Status of the Education Sector in Sudan AFRICA HUMAN DEVELOPMENT SERIES © 2012 International Bank for Reconstruction and Development / International Development Association or The World Bank 1818 H Street NW Washington DC 20433 Telephone: 202-473-1000 Internet: www.worldbank.org 1 2 3 4 15 14 13 12 This volume is a product of the staff of The World Bank with external contributions. The findings, interpretations, and conclusions expressed in this volume do not necessarily reflect the views of The World Bank, its Board of Executive Directors, or the governments they represent. The World Bank does not guarantee the accuracy of the data included in this work. 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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. ISBN (paper): 978-0-8213-8857-0 ISBN (electronic): 978-0-8213-8867-9 DOI: 10.1596/978-0-8213-8857-0 Library of Congress Cataloging-in-Publication Data The status of the education sector in Sudan. p. cm. “This report was prepared by the World Bank and the Government of National Unity (GoNU) of the Republic of Sudan”—T.p. verso. Includes bibliographical references. ISBN 978-0-8213-8857-0 — ISBN 978-0-8213-8867-9 1. Education—Sudan—Evaluation. I. World Bank. II. Sudan. LA1651.S83 2011 370.9624—dc23 2011029392 Cover photo: Amir Abdallah, Blue Nile State © Hassan Zakaria / Sudanese Organization for Education Development (SOED). Table of Contents Foreword xiii Acknowledgments xvii Abbreviations xix Map: States Featured in This Study, Sudan, 2010 xxi OVERVIEW 1 The Main Findings 2 Equity-Oriented Education Spending 14 Conclusion 15 Notes 16 References 16 CHAPTER 1. SETTING THE SCENE 19 Scope of This Education Sector Status Report 19 Administrative Structure of General Education in Northern Sudan 26 Annex 1A: Population by Age in 2008 28 Annex 1B: Administrative Structure of the Education System 30 Notes 33 References 34 CHAPTER 2. OVERALL ENROLLMENT PATTERNS 37 Structure of the Education System and Enrollments 37 Schools for Nomadic and Internally Displaced Populations 47 The Gross Enrollment Rate 49 Measuring Education Coverage More Precisely 53 Summary 55 Annex: Number of Basic Schools 56 Notes 57 References 58 v vi • Table of Contents CHAPTER 3. PATTERNS OF STUDENT FLOW 59 Schooling Profile and Distance from Universal Primary Completion 59 Other Aspects of Student Flow Efficiency and Projections 68 Projection of Access and Completion Rates for Basic Education 75 Summary 77 Annex: Basic and Secondary Education Enrollments 78 Notes 79 References 79 CHAPTER 4. DISPARITIES 81 Regional Disparities 81 Social Disparities 85 Out-of-School Children in Urban and Rural Areas 92 Structural Disparities 93 Summary 97 Annex 4A: Enrollment of Girls in Education in Northern Sudan 99 Annex 4B: Probability of Children Ever Enrolling in Basic School 99 Notes 100 References 101 CHAPTER 5. SERVICE DELIVERY AND LEARNING OUTCOMES IN BASIC SCHOOLS IN THREE STATES 103 Sample Description 105 Characteristics of Government Basic Schools in the Sample 107 Student Learning Outcomes 119 Secondary Education Examination Results 125 Summary 129 Annex: Probability of Still Being in School by Grade 8 130 Notes 131 References 131 CHAPTER 6. TEACHERS 133 Profile of Teachers in Northern Sudan 133 Teacher Recruitment, Deployment, and Transfer 140 Teacher Utilization 144 School Record Keeping: Teacher Leave and Time/Attendance 147 Teacher Supervision 150 Teacher Salaries and Motivation 153 Summary 155 Table of Contents • vii Notes 156 References 156 CHAPTER 7. EDUCATION FINANCE 159 Background 159 Analysis of Public Education Spending 161 Public Per-Student Spending 168 Analysis of State-Level Education Spending 174 Summary 182 Annex: Spending on Education 183 Notes 187 References 188 APPENDIX: STATE-LEVEL DATA SHEETS 191 GLOSSARY 237 BOXES 1.1 Education Sector Status Report Data Sources 20 7.1 State Visits to Collect Information on Education Spending 160 FIGURES O.1 Average Annual Growth Rates for Basic School Enrollment, by State, 2004–05 to 2008–09 3 O.2 Educational Access: Probability of Ever Enrolling in Basic School, by Location, Income, and Gender, circa 2005 8 O.3 Share of Girls in Enrollments, by Type of Basic School, 2008–09 10 O.4 International Comparisons: Degree of Randomness in Teacher Allocations in Basic Education, by Country 12 O.5 Public Education Spending, by Administrative Level, 2000–09 14 1.1 Growth of GDP per Capita in Sudan, 1975–2008 22 1A.1 Raw Population Data in Sudan, Ages 0–24 Years, 2008 28 1A.2 Raw and Smoothed Population Data in Sudan, Ages 2–24 Years, 2008 29 1B.1 Organizational Structure of the FMoGE 31 1B.2 Ministries Providing Technical and Vocational Training 32 2.1 Trends in Student Enrollments in Northern Sudan, 2000–01 to 2008–09 40 2.2 Evolution in Basic School Enrollments in Selected States, 2000–01 to 2008–09 41 2.3 Average Growth Rates for Basic School Enrollments, by State, 2004–05 to 2008–09 41 viii • Table of Contents 2.4 Share of Students Enrolled in Nongovernment Schools, 2008–09 or Latest Available Year 44 2.5 Trends in Gross Enrollment Rates for General Education in Northern Sudan, 2000–01 to 2008–09 51 2.6 Comparing the Gross Enrollment Rate Calculated from Different Sources, 2005–06 to 2008–09 55 3.1 Schooling Profile for the Primary and Secondary Levels, 2008–09 60 3.2 Educational Pyramid for Northern Sudan, 2008–09 61 3.3 Access to Grade 1: Share of Population between Ages 5 and 29 Who Had Ever Accessed Basic School, 2005–06 63 3.4 Ages of Girls and Boys Attending Grade 1, 2005–06 64 3.5 Enrollment Status of Girls and Boys by Age, 2005–06 66 3.6 Schooling Status and Level of Education of Girls and Boys by Age, 2005–06 67 3.7 School Life Expectancy in Sudan and Comparator Countries, Latest Available Year 68 3.8 International Comparison of the Share of Repeaters in Primary and Secondary Schools, Latest Available Year 71 3.9 Projection of the Rate of Access and Completion of Basic Education to 2015 76 4.1 Access: Regional Disparities in the Share of Children between Ages 5 and 17 Who Had Ever Accessed Basic School, 2005–06 84 4.2 Ratio of Boys to Girls in the Basic School-Age Population, by State, 2008 87 4.3 Access: Probability of Ever Enrolling in Basic School (Grade 1) according to Location, Income, and Gender, circa 2005 89 4.4 Retention: Probability of Still Being in School by Grade 8, by Location, Income, and Gender, circa 2005 91 4.5 Schooling Status of Urban and Rural Children by Age, 2005–06 93 4.6 Lorenz Curve for the Distribution of Public Education Spending, 2008–09 96 5.1 Grade 5 Student Learning Assessment Scores in Mathematics and Reading in Kassala, North Kordofan, and River Nile, 2009 120 5.2 International Comparison of Student Performance in Mathematics between Morocco, Northern Sudan, Singapore, and Tunisia, 2008–09 122 5.3 International Comparison of Student Performance in Reading between Benin, Northern Sudan, and Singapore, 2008–09 123 5.4 Average Student Performance in Mathematics and Reading, by Household Wealth, 2009 126 5.5 Average Student Performance in Mathematics and Reading, by Father’s Education Level, 2009 127 6.1 Types of Staff in Northern Sudan, by Education Level, 2009 135 6.2 Percentage of Female and Male Teachers in Basic Education in Northern Sudan, by State, 2009 136 6.3 Percentage of Female and Male Teachers in Secondary Education in Northern Sudan, by State, 2009 136 Table of Contents • ix 6.4 Percentage of Trained and Untrained Teachers in Northern Sudan, by State, 2009 139 6.5 Full-Time Government Teachers’ Academic Qualifications and Preservice Training in Kassala, North Kordofan, and River Nile States, 2009 139 6.6 Number of Teachers in Relation to Student Enrollment in Basic Education Schools in Northern Sudan, 2008–09 141 6.7 Number of Teachers in Relation to Student Enrollment in Basic Education Schools, Red Sea State, 2008–09 142 6.8 International Comparisons: Randomness in Teacher Allocations in Basic Education, by Country 143 6.9 Average Number of Leave Days by Purpose over Six Months in Kassala, North Kordofan, and River Nile States, 2009 149 6.10 Local Supervision: Visits to the Teachers in Kassala, North Kordofan, and River Nile States, 2009 152 6.11 Payment of Teacher Salaries in Kassala, North Kordofan, and River Nile States, by Teacher Type, 2009 153 7.1 Recurrent Public Education Spending per School-Age Child, 2000–09 162 7.2 Comparison of Public Education Spending, by Country, 2005–08 163 7.3 Development and Recurrent Public Education Spending Shares, 2000–09 164 7.4 Public Education Spending, by Administrative Level, 2000–09 165 7.5 Composition of Recurrent Public Education Spending, by Education Level, 2009 168 7.6 State Education Spending as a Share of State Total Public Spending, 2009 176 7.7 Average Public Per-Student Spending, by GER Group, 2009 177 7.8 Public Per-Student Spending, by Education Level and State, 2009 178 7.9 Federal Transfers and State Own Revenues as a Share of Total Revenues, 2008 180 7.10 Federal Transfers per Capita and Average GER, by State, 2008–09 181 TABLES O.1 Anthropometric Measures of Sudan’s Children 11 1.1 Trends in GoNU Revenues and Expenditures, 2000–09 23 1.2 Anthropometric Measures of Sudan’s Children 25 1A.1 Population of Sudan by Census Year and Average Growth in Intervening Years, 1956–2008 28 1B.1 Availability of Job Descriptions in the FMoGE 31 2.1 Trends in Student Enrollments by Level of Education in Northern Sudan, 2000–01 to 2008–09 38 2.2 Increase in the Number of Schools, Teachers, and Students from 2004–05 to 2008–09 43 2.3 School Size and Student-Teacher Ratios in Government and Nongovernment Schools, 2008–09 46 x • Table of Contents 2.4 Number of Schools and Enrollments in Government Nomadic, IDP, and Village Schools, 2007–08 and 2008–09 48 2.5 Primary Education GERs in Northern Sudan and Comparator Countries, 2008 or Latest Available Year 52 2.6 Upper Secondary Education GERs in Northern Sudan and Comparator Countries, 2008 or Latest Available Year 53 2.7 Higher Education Enrollments in Northern Sudan and Comparator Countries, 2008 or Latest Available Year 54 2A.1 Number of Basic Schools by State and Type of School, 2008–09 56 3.1 Gross Intake Rate and Primary Completion Rate, 2008–09 62 3.2 Basic School Intake and Completion Rates Based on Two Data Sources, 2005–06 63 3.3 Share of Repeaters in Basic Schools from Different Sources, 2005–06 to 2008–09 69 3.4 Estimation of Repetition in Government and Nongovernment Academic Secondary Schools, 2008–09 70 3.5 Retention and Other Indicators for Basic and Secondary Education, 2000–01 to 2008–09 72 3.6 Internal Efficiency Coefficients in Basic and Secondary Education, 2005–06 to 2008–09 74 3.7 International Comparison of Internal Efficiency Coefficients in Basic Education 75 3.8 Gross Intake and Primary Completion Rates for Basic Education, 2000–01 to 2008–09 76 3A.1 Enrollments by Grade in Basic and Secondary Education, Northern Sudan, 2008–09 78 4.1 Comparison of GERs in Preschool, Basic, and Secondary Schools across States, 2008–09 82 4.2 Share of Girls in Enrollments by Level of Education, 2000–01 and 2008–09 85 4.3 Share of Girls in Enrollments by Type of Basic School, 2008–09 86 4.4 Gender Disparities at All Levels of Education, 2008–09 87 4.5 International Comparison of Gender Parity Index by Level of Education, Latest Available Year 88 4.6 Access: Interaction of Gender with Poverty and Rurality 90 4.7 Retention: Interaction of Gender with Poverty and Rurality 92 4.8 Estimated Number of 10- to 17-Year-Olds in Northern Sudan Who Have Never Been in School, by Gender, 2008 94 4.9 Distribution of Public Education Spending among Members of the Same Cohort, 2008–09 95 4.10 Distribution of Public Spending on Education within a Cohort of Children, Northern Sudan Compared to Sub-Saharan Africa, 2008–09 97 4A.1 Share of Girls in Total Enrollments, by State and Level of Education, 2008–09 99 Table of Contents • xi 4B.1 Logistic Regression Results: Probability of Ever Enrolling in Basic School (Grade 1), by Location, Income, and Gender, circa 2005 99 5.1 Basic Education Indicators for the Three Surveyed States and the Northern Sudan Average, 2008–09 104 5.2 Sample Information for the Three Northern Sudan States Chosen, 2009 106 5.3 Rural/Peri-urban and Urban Composition of the School Sample, 2009 107 5.4 Availability of Chalkboards and Desks in Observed Classrooms, 2009 108 5.5 Availability of Textbooks in Observed Classrooms 110 5.6 Syllabus Coverage in Observed Classrooms, 2009 111 5.7 Class Size in Observed Classrooms, 2009 113 5.8 Average Student Attendance in Observed Classrooms, 2009 114 5.9 Official and Actual Number of School Days in the Academic Year, State Averages, 2009 115 5.10 School Record Keeping on Student Enrollment and Performance, State Averages, 2009 116 5.11 Characteristics of Education Councils, State Averages, 2009 117 5.12 School Support Provided by Educational Councils, State Averages, 2009 118 5.13 Grade 5 Student Learning Assessment Scores in Mathematics and Reading, 2009 121 5.14 Average Student Learning Assessment Scores, by Gender, 2009 124 5.15 Pass Rates for Secondary School Examinations in Northern Sudan, by School Type and State, 2008 128 5A.1 Logistic Regression Results: Probability of Still Being in School by Grade 8, by Location, Income, and Gender, circa 2005 130 6.1 Numbers of Education Staff in Northern Sudan, by Education Level, 2009 134 6.2 Sudan Open University Bachelor of Education Degree Output, 2008–12 138 6.3 Student-Teacher Ratios in Northern Sudan, by State, 2009 145 6.4 Average Class Size in Northern Sudan, by School Type and Grade, 2008–09 146 6.5 Number of Hours Taught by Teachers in Different Salary Scales 147 6.6 School Record Keeping in Kassala, North Kordofan, and River Nile States State Averages, 2009 150 6.7 Number of Teachers, Inspectors, Volunteers, and National Service Staff in Basic and Secondary Education, by State, 2009 151 6.8 Outside Jobs and Private Tutoring in Kassala, North Kordofan, and River Nile States, by Teacher Type, 2009 154 6.9 Teacher Incentives to Perform, or Not 155 7.1 Estimated Total Public Education Spending, 2000–09 161 7.2 Recurrent Public Education Spending, by Education Level, 2009 166 xii • Table of Contents 7.3 Comparison of Public Education Spending, by Region/Country and Education Level, 2005–08 167 7.4 Composition of Recurrent Public Education Spending, by Education Level, 2009 167 7.5 Composition of Per-Student Spending, by Education Level, 2009 169 7.6 Comparison of Public Per-Student Spending, by Region and Education Level, 2002–08 170 7.7 Composition of Education Staff, by Education Level, 2009 171 7.8 Average Salaries of School-Based Staff in Northern Sudan, by Education Level, 2009 172 7.9 Comparison of Average Primary Teacher Salaries, by Region/Country, 2002–08 173 7.10 Average Annual Household Out-of-Pocket Spending per Student, Selected States, 2008–09 174 7A.1 Comparison of Public Education Spending, by Region/Country, 2005–08 183 7A.2 Total, Recurrent, and Development Education Spending, by Administrative Level, 2000–09 183 7A.3 Preschool: Overview of State Education Spending and STRs, by Group and State, 2009 184 7A.4 Basic Education: Overview of State Education Spending and STRs, by Group and State, 2009 185 7A.5 Academic Secondary Education: Overview of State Education Spending and STRs, by Group and State, 2009 185 7A.6 Technical Secondary Education: Overview of State Education Spending and STRs, by Group and State, 2009 186 Foreword s the Republic of Sudan embarks upon a new phase in its history, A its government has reaffirmed its commitment to achieve the Edu- cation for All (EFA) targets and the Millennium Development Goals (MDGs)—if not by 2015, then soon thereafter. This year, the Gov- ernment of National Unity is preparing a new education sector strategic plan, for 2012–16, that will set the direction for reform and investment in basic, secondary, and higher education over the coming five years. The aim of the current report is to contribute to the knowledge base that informs the preparation of this plan by providing a diagnostic of the country’s education system. With detailed data on enrollments, teachers, learning outcomes, and education financing, the report contextualizes valuable information about the challenges and emerging priorities for Sudan’s education sector. The positive impact of peace on education following the Compre- hensive Peace Agreement (CPA) signed in 2005 is evidenced in the sub- stantial increase in basic school enrollments among those previously affected by conflict. In absolute terms, enrollments in basic education grew by almost 1.6 million in the eight years since the 2000–01 aca- demic year. However, regional disparities in education access exist. Also, children in rural areas, children from poorer households, and girls are at a disadvantage in terms of access to schooling. The strongest predictor of access to schooling is whether a child lives in an urban or rural area, with urban children being 17 percentage points more likely than rural chil- dren to access school. Preliminary estimates also suggest low basic education coverage of internally displaced persons and nomadic popu- lations. There are also indications of inadequate literacy and numeracy among students based on a learning assessment administered as part of this analysis in 195 government schools across three states. These weak xiii xiv • Foreword learning outcomes could be linked to many factors, including wide- spread malnutrition among young children (which has consequences for learning ability), too few instructional hours, and a lack of textbooks. Finally, primary school completion rates are low: whereas roughly 80 percent of children were enrolled in grade 1 in 2008, only about 50 percent of students completed basic education, indicating that a large number of students are dropping out of school. Secondary education also has a high number of students who drop out, and it has a large number of students who are repeaters. As many as 36 percent of students in the final year of secondary school are estimated to be repeaters, giving a repetition rate of 15 percent across the secondary level. Nevertheless, the estimated transition rates between basic and secondary education and between secondary and higher education of 74 percent and about 87 percent, respectively, are fairly high, and they indicate that most pupils drop out of the education system within the basic or secondary levels rather than between the levels. With such high transition rates, the current expansion in basic school enrollments (and assuming that the dropout rate improves) is likely to result in considerable pressure on secondary education, technical and vocational training, and higher education systems, which will need to accommodate a rapidly increasing number of basic school graduates seeking to continue their studies. Whether the system is able to respond to this increased pressure will determine whether the transition rates can remain at these high lev- els in the years ahead. From a regional perspective, enrollment in higher education is higher in Sudan than in other Sub-Saharan African countries and is similar to that in Middle Eastern and North African countries. The gender parity index for higher education in Sudan is also similar to that for countries in the Middle East and North Africa, and accounted for 56 percent of enroll- ment in higher education in 2009. Given the relatively high enrollment rate in higher education, it is important that while in the education sys- tem, students acquire the skills that match those needed by the labor mar- ket to contribute to economic growth and development in the country. Further research, including a labor market survey, is required to under- stand and strengthen the links between the skills imparted to higher edu- cation students and the skills required to support the expansion and diversification of the economy. The independence of South Sudan and the expiration of the CPA are likely to lead to a significant decline in government financing. All sectors— including education—will be affected by this contraction, placing at risk the significant gains of the last decade. Maintaining the momentum and Foreword • xv expanding the existing education system will require a commitment to promote a strong, efficient, equity-oriented approach to service deliv- ery. Sudan’s upcoming education sector plan will highlight priorities and can be used to mobilize both internal and external financing. The analytic foundation that this report provides and its identification of the key bottlenecks to progress are thus both timely and relevant. This report was prepared in collaboration with a national team from the Ministry of General Education (MoGE) and partners active in the edu- cation sector in Sudan. The MoGE’s national team, led by the undersecre- tary of the federal MoGE, comprised representatives from both the federal and state levels. Over a period of 18 months, this collaboration facilitated considerable capacity building in data collection and analysis, as well as regular dissemination of the analysis to a wider audience. This publication is the first comprehensive overview of the education sector in Sudan. The challenge that remains is to design policy responses to the issues identified within the forthcoming education sector strategic plan. More important, these policies—already being discussed with the MoGE—must be effectively implemented so that Sudan can make faster progress toward achieving the EFA targets and MDGs. It is my hope that this report will serve as the basis for an evidence-based and equity- oriented approach to education planning and investment. This approach will have positive repercussions for overall economic growth, poverty alle- viation, and human development in 21st-century Sudan. Ritva Reinikka Director, Human Development Africa Region The World Bank Acknowledgments his report was prepared by the World Bank and the Government of T National Unity (GoNU) of Sudan. The GoNU team worked under the overall guidance of a management committee headed by Dr. El Mustassim El Hassan, undersecretary of the Ministry of General Educa- tion (MoGE).1 The GoNU team comprised Dr. El Tahir Hassan El Tahir, director general for the Planning Unit of the federal MoGE; Dr. Ibtissam M. Hassan, director general for the Teacher-Training Unit of the federal MoGE, and the director generals of all the state ministries of education. Other team members within the GoNU included Dr. Khaled El Amin El Mosharaf, Omar Alebied Ahmed, and Najla Basheer. The team wishes to express gratitude to Mrs. Souad Abelrazig, State Minister of the MoGE for her leadership in finalizing this book. The World Bank team consisted of Elizabeth Ninan, task team leader; Yasser El-Gammal, task team leader for the concept note stage; Ramahatra Mam Rakotomalala; Kirsten Majgaard; Moctar Ould Djay; Gunilla Pettersson; Prema Clarke; Koffi Segniagbeto; Deepa Sankar; and Aymen Ali Musmar. Michel Welmond, lead education specialist, provided overall tech- nical guidance on the report. The peer reviewers for the concept note, also from the Bank, were Soren Nelleman, Linda English, and Peter Buckland. The peer reviewers for the final report were Alberto Begue, Education for All Fast-Track Initiative secretariat; Peter Buckland, consultant; Yasser El-Gammal, lead social protection specialist and sector leader for Sudan, World Bank; Safaa El-Kogali, regional director, West Asia and North Africa, Population Council; and Cem Mete, senior economist, World Bank. The team would also like to thank the World Bank’s William Battaile, senior economist, and Michael Geiger, economist, for their inputs throughout the development of the report. xvii xviii • Acknowledgments The report benefited substantially from the support provided by other ministries and development partners in northern Sudan. Staff participa- tion from the Ministry of Finance and National Economy (MoFNE) included Mirghani Golood and Sadia Alkhidir Ahmed. Donor partners in Khartoum contributed to the development of the report and included Cecilia Baldeh and Parvez Akhtar, United Nations Children’s Fund; Mauro Ghirotti, Italian Cooperation; Mustafa Yassin, European Commis- sion; and David Dean, Education Management Information System, European Commission. The report also benefited from the support of World Bank staff in Khartoum, especially Alassane Sow, country manager for northern Sudan, and Isabel Soares, senior operations officer. Christopher Thomas, former sector manager for the Africa Region’s education team, and Peter Nicolas Materu, acting sector manager, provided support to the team throughout the process. The team is grateful for the excellent administrative support received from World Bank staff members Rosario Aristorenas in Washington, DC, and Enas Suleiman Mohammed in Sudan. The team acknowledges with great appreciation the financial support received from the Education Program Development Fund of the Fast- Track Initiative and the GoNU Multi-donor Trust Fund. NOTE 1. Established under Administrative Order 22 in 2009, the management com- mittee provided overall strategic guidance in the preparation of the education sec- tor report for northern Sudan. Abbreviations CPA Comprehensive Peace Agreement EFA-FTI Education for All Fast-Track Initiative ESPA Eastern Sudan Peace Agreement ESR education sector report ESSP Education Sector Strategic Plan EU European Union FMoGE Federal Ministry of General Education GDP gross domestic product GER gross enrollment rate GIR gross intake rate GoNU Government of National Unity GoSS Government of Southern Sudan GPI gender parity index IDP internally displaced person IEC internal efficiency coefficient ISETI in-service education training institute MDG Millennium Development Goal MoFNE Ministry of Finance and National Economy MoGE Ministry of General Education MoHESR Ministry of Higher Education and Scientific Research MoLPSHR Ministry of Labor, Public Service and Human Resource Development NCTTE National Council for Technical and Technological Education PCR primary completion rate PIRLS Progress in International Reading Literacy Study SDG Sudanese pound xix xx • Abbreviations SDS service delivery survey (“Quality of Service Delivery in Basic Education Study”) SHHS Sudan Household Health Survey SLE school life expectancy SOU Sudan Open University STR student-teacher ratio TIMSS Trends in International Mathematics and Science Study UNHCR United Nations High Commissioner for Refugees UNICEF United Nations Children’s Fund Map: States Featured in This Study, Sudan, 2010 xxi Overview he Sudan Government of National Unity (GoNU) has committed T itself to achieving the Education for All (EFA) targets and the education-related Millennium Development Goals (MDGs) by 2015, which signals its readiness to continue to invest in education and expand educational opportunities. The current five-year (2007–11) Edu- cation Sector Strategic Plan (ESSP) expresses the country’s commitment to the EFA goals and outlines activities to meet the MDG education tar- gets. In developing its ESSP for 2012–16, the GoNU seeks to assess the status of the education system in order to identify priority areas for devel- opment in the sector. This report is a diagnostic of the education system and provides a knowledge base to inform the GoNU’s preparation of the ESSP. It also contributes to the dialogue among relevant stakeholders on the chal- lenges and emerging strategic priorities for the education sector in northern Sudan. The report begins by setting the scene in historical and economic terms. It then provides an outline of the administrative setup, which is particu- larly important in northern Sudan’s decentralized education system. It also examines trends in enrollments, followed by the schooling profile and an assessment of the efficiency of the education sector. Next, the report describes existing disparities in the education system along several dimen- sions: rural-urban location, income, gender, nomadic population, inter- nally displaced persons (IDPs), and state. An analysis of education service delivery presents indicative findings on student learning outcomes and on resource availability and management in basic schools in three states; it also presents a brief overview of examination performance in secondary education.1 The report then addresses teacher-related issues, including recruitment, deployment, utilization, and supervision. Finally, education 1 2 • The Status of the Education Sector in Sudan spending is discussed, both at the national and state levels, and the com- position of education spending is explored for each subsector. THE MAIN FINDINGS There are 11 main findings of this diagnostic of the education system in northern Sudan. They range from the peace dividend’s effect on enroll- ments and the high dropout rates in basic and secondary education to dis- parities in resources at the local level and low spending on education relative to similar countries in the region. ACCESS TO EDUCATION The peace dividend is especially apparent in the growth in student enroll- ments in basic education in states previously affected by conflict. The number of students enrolled across subsectors has grown annually over the past decade, with the fastest relative growth in enrollments since 2000–01 occurring in preschool (10 percent), followed by higher educa- tion (7 percent), secondary education (6 percent), and basic education (5 percent). Basic education is by far the largest subsector of education in terms of student enrollments and, in absolute terms, grew by almost 1.6 million in eight years. The growth in enrollments for basic education is evidence of both strong demand for education and commitment by the GoNU to achieving the EFA goals and the MDGs. At the state level, evidence (figure O.1) points to a positive impact of peace on basic school enrollment for the populations that were affected by conflict prior to 2005: Northern, Southern, and Western Darfur states in the western part; North Kordofan, South Kordofan, and Blue Nile states in the southern part (the Nuba Mountains area); and Kassala and Red Sea states in the eastern part (the third eastern state, Al Qadarif, has registered a negative growth rate since 2005). In most of the other states, basic enrollment growth has slowed down since 2005 because these states were already close to full capacity in basic education. The education sector in northern Sudan has characteristics of both low-income Sub-Saharan Africa and the Middle East education sectors. The coverage of higher education in northern Sudan, at 1,500 students per 100,000 inhabitants, is higher than that for most of its neighboring countries (except the Arab Republic of Egypt) and also higher than that for the lower-middle-income countries of Sub-Saharan Africa. It is lower, however, than the coverage in almost all of the lower-middle-income countries in the Middle East and North Africa region (except Morocco). Overview • 3 Figure O.1 Average Annual Growth Rates for Basic School Enrollment, by State, 2004–05 to 2008–09 15 13% 14% 15% 12% 11% 10 8% 8% 8% 6% percent 5% 6% 5 2% 0% 0% 0 –1% –2% –5 rn ah ile um r ala a Ko e Ko n an r r le r n rif na rth arfu rfu rfu il Se rth ofa da Ni e da rN eN zir of ss to rth Sin Da Da Su d rd rd ue Qa D Ja Ka ar ve Re hit No n rn n rn Bl Kh Al Ri Al er er W he te h rth es ut ut No no No W So So state Source: Federal Ministry of General Education (FMoGE) statistical yearbooks for the years indicated; World Bank estimates. Northern Sudan also has a higher secondary school gross enrollment rate (GER), 34 percent, than most of its neighbors (except Kenya), which is comparable to other lower-middle-income countries in Sub-Saharan Africa. However, its relatively high GER for secondary school is partly the result of a large number of repeaters. Northern Sudan’s GER for second- ary schools is also similar to that for countries such as Morocco and the Syrian Arab Republic, but it is lower than the average for countries in the Middle East and North Africa region. However, basic education gross enrollment rate in northern Sudan (76 percent) does not compare favorably to the average GER for basic educa- tion in lower-middle-income Sub-Saharan African countries (105 per- cent) and lower-middle-income Middle East and North African countries (106 percent). The GER for northern Sudan is higher only than that for Eritrea and comparable to that for countries such as the Central African Republic, Chad, and Côte d’Ivoire. DROPOUT RATES Northern Sudan experiences a high number of dropouts in basic and sec- ondary education. While there was a fairly high rate of intake (80 percent) of new students to grade 1 of basic school in 2008, the primary completion rate (PCR) was low (54 percent), indicating that many students drop out of school before completing basic education. A study following a group of stu- dents that enrolled in grade 1 in 2000 until they reached grade 8 in 2007 revealed that only 57 of every 100 students were still in school by grade 8. 4 • The Status of the Education Sector in Sudan This means that the probability of a student’s dropping out before grade 8 is 43 percent, indicating an average dropout rate of 6 percent per grade from grades 1 through 7. In an optimistic scenario, if the observed increase in basic education enrollment were to continue, then almost all children could be enrolling in grade 1 around 2012 and 80 percent of children could be completing basic school by 2015. Thus, even in the best of circumstances, northern Sudan is not likely to reach universal primary completion by 2015. However, it could soon attain universal or almost universal access—a precondition for uni- versal completion. Because the basic schooling cycle is eight years, univer- sal primary completion can be achieved no earlier than eight years after uni- versal access to grade 1, that is, by 2020 or later. However, these outcomes are within reach only if efforts to ensure intake does not decline and only if targeted interventions to enroll vulnerable populations and retain all stu- dents in school for the full cycle are put in place and sustained.2 The number of dropouts in secondary education is higher than that in basic education when adjusted for the length of the cycles. A study following a group of students that enrolled in secondary 1 in 2005 until they reached secondary 3 in 2007 revealed that only 74 of every 100 stu- dents were still in school by secondary 3. This finding corresponds to a dropout rate of 13 percent per year in the first two years of the second- ary cycle. The high rates of dropout in both basic education and secondary education are of serious concern in northern Sudan, yet there is insuffi- cient information to ascertain the main causes. However, international evidence suggests that students are at risk of dropping out of school when parents do not perceive that additional schooling is worth the investment in terms of time and money—when the cost of schooling exceeds the expected benefits. High dropout rates could therefore indicate that the quality of the schooling is too low to justify the student’s time and the direct costs in terms of parental financial contributions or the opportu- nity costs of a child who would otherwise be contributing to the house- hold income or helping with chores. Other factors also put children at risk of dropping out. For example, when schools do not offer all the grades of the basic cycle (as is the case for village and nomadic schools in northern Sudan) and children have to change schools to access the higher grades, the students’ travel time to school increases, which may lead to their dropping out. Also, late entry to school by overage children is strongly associated with dropout, which seems to be the case in northern Sudan, where 40 percent of children entering grade 1 in 2005 were over- age (that is, 8 years or older). Overview • 5 Going forward, as the GoNU moves to design appropriate policies to improve student retention, more research will be required to determine the main causes of the high dropout rates. LEARNING OUTCOMES The education sector shows weak learning outcomes. A student learning assessment administered in 195 schools across three states (Kassala, North Kordofan, and River Nile) in 2009 found that student learning out- comes were generally weak: the average male student in the sample answered only 35 percent of the mathematics questions correctly and 38 percent of the reading questions compared to 37 percent and 41 per- cent, respectively, for the average female student. Within the sample, girls on average performed significantly better than boys, which is consistent with findings from both developing and developed countries. Students among the richest 20 percent performed better on average than students in the middle 60 percent, who in turn performed better than students in the poorest 20 percent. From a regional perspective, students in the three states performed similarly to their counterparts in Morocco and Tunisia and somewhat better than students in Benin. However, it should be noted that the students in northern Sudan were assessed in grade 5 rather than grade 4, as was the case in Morocco and Tunisia, meaning that Sudanese stu- dents had the advantage of roughly one additional year of schooling. Northern Sudan does not currently have a system to continuously assess student learning in order to determine whether public investments in basic education translate into the provision of quality education and learning for all students. The GoNU should consider instituting a national student learning assessment system, which can be combined with data on school resources from the new Education Management Information Sys- tem, in order to identify factors that promote or hinder learning. Such sys- tems already exist or are being introduced in many developed and devel- oping countries. INSTRUCTIONAL TIME The weak learning outcomes may also be partly related to inadequate instructional time. Unlike many other countries in the region, teachers in northern Sudan specialize by subject area from grade 4 onward. This means that even though the average student-teacher ratio for basic educa- tion is 34 to 1, the average class size is 48 students. The official instruc- tional time for basic schooling is 25 hours per week, but based on the 6 • The Status of the Education Sector in Sudan number of teachers in the system, students receive an average of only 17 hours. Put another way, students fail to receive about 30 percent of instruc- tional time. Compounding the problem is the fact that senior teachers, who are more experienced, teach fewer hours than junior teachers. There are several additional reasons for the loss in instructional time, such as teacher absenteeism, in-service teacher training, strikes, conflict, the use of schools as polling stations, and closures due to weather conditions. The 2009 basic education service delivery study in Kassala, North Kordofan, and River Nile states also showed students receiving fewer instructional hours than the official policy; it showed incomplete syllabus coverage as well. The official school year in northern Sudan is 210 days, but in the sample schools in the three states, the average number of actual school days was 189. This result implies that students are missing about one month of teaching each year, which has negative implications for stu- dent learning outcomes. As for syllabus coverage, of the 195 sample schools, the average coverage was 72 percent in mathematics and 75 per- cent in reading when 80 percent of the syllabus should have been covered. Going beyond averages, however, reveals notable differences in syllabus coverage across schools. For example, 4 percent of urban schools and 11 percent of rural and peri-urban schools in Kassala had covered only 40–59 percent of the syllabus. These schools are of particular concern because a complete catch-up in terms of syllabus coverage would be nearly impossible. These findings strongly suggest the need to put standards into place that clearly communicate official policy on the length of the school year, make up for lost days, and enable schools (for example, by constructing durable school buildings) to be open as intended. SCHOOL RESOURCES Studies indicate that resources are inadequate at the school level in north- ern Sudan. According to the United Nations Children’s Fund (UNICEF) baseline survey conducted in 2008, 42 percent of classrooms in basic schools in northern Sudan were in need of repairs, and 9 percent required replacement. The UNICEF survey also found wide variation in the quality of school infrastructure by state: 29 percent of classrooms in Khartoum state needed to be renovated or replaced, whereas the figure rose to 66 percent for classrooms in South Kordofan. In addition, many schools are built with local materials and are either unsuitable for learning (no light, insufficient space, no roof) or inaccessible during the rainy season. Despite the lack of adequate infrastructure, development spending remains low in northern Overview • 7 Sudan at 9 percent of total public education spending in 2009. Although this is an increase from 2000, when its share was 1 percent of total public education spending, the lack of school infrastructure remains a significant challenge. Aside from problems with infrastructure, the findings of the 2009 basic education service delivery study and a 2008 European Union (EU 2008) study point to the lack of textbooks within the classroom. The aver- age student-textbook ratio for mathematics and reading in the three states surveyed through the service delivery study was 3 to 1, compared to the official policy of 2 to 1. At the extreme, rural sample schools in North Kordofan had a 9 to 1 student-textbook ratio. Considering that education councils provided textbooks for students in several of the survey schools, the higher-than-recommended average student-textbook ratio points to a serious failure of the public education system, with negative conse- quences for student learning. The EU study, based on visits to 71 govern- ment basic schools in seven states, also documents the lack of textbooks with an average student-textbook ratio of 4 to 1. Spending on goods and services by the government is generally low, and particularly so for basic education. This situation means that house- holds have to contribute to a school’s running costs, such as mainte- nance, water and electricity, and supplementary teacher payments. The average estimated out-of-pocket spending by households each year on operating costs was 15 Sudanese pounds (SDG) per student in 2008–09, higher than the SDG 12 public spending per student on such costs.3 Whereas the official policy of the GoNU is free basic education, the available data suggest that households pay a large share of school running costs in addition to other costs, such as uniforms, textbooks, and meals. DISPARITIES Substantial disparities exist in the education system, by region, rural- urban location, gender, and income. At all three levels of education, the GER varies enormously from one state to another, ranging from 13 per- cent to 65 percent for preschool, about 65 percent to 94 percent for basic school, and 15 percent to 61 percent for secondary school. As noted earlier, the states with the highest GERs were the central states, which were largely unaffected by the conflict, whereas the states with the low- est GERs were those previously affected by conflict, such as Northern and Southern Darfur; Kassala and Red Sea, which were part of the Eastern states conflict; and Blue Nile, at the border of south Sudan. 8 • The Status of the Education Sector in Sudan Aside from regional disparities in access to education, children in rural areas, those from poorer households, and girls are at a disadvantage (see figure O.2). Of the three dimensions—rural-urban location, income, and gender—the strongest predictor of access to schooling is whether a child lives in an urban or rural area, with urban children being 17 percentage points more likely than rural children to have access to education. Over- all, boys are 8 percentage points more likely than girls to have access, and rich children are 2 percentage points more likely than poor children to have access to school. A poor rural girl is the most disadvantaged of all and is about 25 percentage points less likely to ever access basic school than a rich urban boy. In village schools, which are rural by nature, only 41 percent of students enrolled are girls. When northern Sudan is compared with its neighbors, the gender par- ity indexes (GPIs) for academic secondary and higher education are 0.97 and 1.27, respectively, and are more similar to the average GPIs seen in Egypt, the Islamic Republic of Iran, Jordan, and Tunisia (1.02 and 1.25, respectively) than to the averages for Cameroon, Kenya, Nigeria, and Uganda (0.84 and 0.74, respectively). However, the average GPI of 0.90 for basic education is lower than the average for Egypt, the Islamic Repub- lic of Iran, Jordan, and Tunisia, which is 1.09, and also lower than the average for Cameroon, Kenya, Nigeria, and Uganda, which is 0.93. Out of the population of 6 million 10–17-year-olds in northern Sudan, it is estimated that one in six, that is, close to 1 million, never had access to school in 2010. Among this group of children, 62 percent were girls and 84 percent were from rural areas. A UNICEF study conducted in Figure O.2 Educational Access: Probability of Ever Enrolling in Basic School, by Location, Income, and Gender, circa 2005 100 94% 90% 85% 87% 82% 80 77% percent 60 40 20 0 rural urban poor rich girls boys location income gender Source: Authors’ analysis of the 2006 Sudan Household Health Survey (GoNU and GoSS 2006). The figure is based on responses of children ages 11–15. Note: The figure gives the probability of ever enrolling in grade 1 of basic school. For this chart, poor means belonging to the lowest income quintile and rich means belonging to the two richest quintiles of the population. Overview • 9 southern Sudan may provide some insights into why some girls are being held back in rural areas of Sudan (UNICEF/GoSS 2008). One of the main conclusions of the study is that parents generally do want to educate their daughters, but many are not sending them to school out of concern for their safety as they walk to school or even in the schools themselves. The study concludes that safer and more child-friendly school environments—for girls as well as for boys—can be achieved by making fairly modest changes. Such actions as increasing parent involvement in school management or providing tuition waivers for girls are likely to be enough to convince parents to send their daughters to school. The study also emphasizes the need for teaching life skills both in schools and in the community. POPULATIONS IN TRANSIT Education access for vulnerable populations (nomads, internally displaced persons [IDPs]) needs to be expanded. Providing education services for IDPs and nomads in northern Sudan remains a significant challenge because they are perpetually on the move. Data on the size of these pop- ulation groups are scarce, and there is great variation in available esti- mates. For example, according to the United Nations High Commissioner for Refugees (UNHCR), there were 4.9 million IDPs in Sudan (including South Sudan), with 2.6 million located in the Darfur region alone and 1.7 million in Khartoum state. However, according to the 2008 population census, there are approximately 780,000 IDPs, and the difference in num- bers is probably a result of the definitions used. Nomads also make up a large share of the population in northern Sudan. According to the exist- ing estimates, nomads account for 8.5–8.7 percent of the total population (GoS and others 2005; UNHCR 2010). In 2008–09, 8.7 percent of basic schools in northern Sudan were nomadic and 1.6 percent were IDP (Education Yearbook 2009). IDP schools are large. Their average enrollment was 815 students in 2008–09, with an average of 92 students per class, which potentially results in lower learning levels. Nomadic schools, on the other hand, are smaller, multi- grade schools, though teachers follow the general curriculum. Among these vulnerable groups, the share of girls in basic education is smaller than that in regular schools (figure O.3). The share of girls in nomadic schools is 38 percent and in IDP schools, 44 percent compared with 47 percent in regular government schools. These figures suggest that girls are at a greater disadvantage within the vulnerable population groups, particularly nomads. 10 • The Status of the Education Sector in Sudan Figure O.3 Share of Girls in Enrollments, by Type of Basic School, 2008–09 50 47% 44% 44% 45 41% 40 38% 35 30 percent 25 20 15 10 5 0 ic P e r t he en lag ID ad ot nm m vil no er ov ng no type of school Source: FMoGE 2008–09 statistical yearbook. Moving forward, to effectively target the nomadic and IDP population groups (which is a necessary step if universal primary completion is to be achieved), data need to be disaggregated to reflect the participation of nomads and IDPs within regular schools. These data could be captured through the new Education Management Information System. MALNOURISHED STUDENTS Malnourished children are an underlying problem (table O.1). A large proportion of children ages 0–59 months in northern Sudan are mal- nourished, with negative consequences for learning at preschool and beyond. The percentage of children who are underweight and stunted in northern Sudan is high compared with that of other countries with varia- tion between the states. In Northern Darfur, 55 percent of children are underweight, whereas in Kassala, 69 percent are stunted. These figures are higher than the averages in Sub-Saharan Africa (28 percent underweight and 9 percent wasting), and much higher than the averages for the Mid- dle East and North Africa region (17 percent underweight and 8 percent wasting) (SHHS 2007; UNICEF 2009). International literature shows that malnourished children tend not to reach their potential either physically or mentally, are less likely to go to school, and once in school, register lower levels of learning achievement (EFA 2011). Overview • 11 Table O.1 Anthropometric Measures of Sudan’s Children percent State Underweight Stunted Wasted Northern 41.6 38.7 26.3 River Nile 34.5 40.0 15.2 Red Sea 43.3 45.2 19.8 Kassala 53.9 68.5 23.7 Al Qadarif 42.5 55.2 11.4 Khartoum 24.5 37.2 13.1 Al Jazirah 28.5 41.3 9.7 Sinnar 38.0 50.4 14.0 Blue Nile 46.5 59.8 14.5 White Nile 40.2 48.7 15.3 North Kordofan 42.9 51.0 15.5 South Kordofan 35.3 43.0 14.9 Northern Darfur 55.0 48.6 28.5 Western Darfur 51.3 44.8 23.2 Southern Darfur 41.6 47.3 11.4 Sub-Saharan Africa (2000–07) 28 38 9 Middle East and North Africa (2000–07) 17 26 8 Source: For northern Sudan, the data are from the World Bank staff calculations (World Bank forthcom- ing) using data from the SHHS 2006 (GoNU and GoSS 2006). For Sub-Saharan Africa and the Middle East and North Africa, the data are from the National Center for Health Statistics of the U.S. Centers for Disease Control and Prevention and from the World Health Organization. STAFFING NEEDS Attracting teachers to hardship areas and remote schools remains a chal- lenge. In northern Sudan, basic education teachers are not effectively deployed based on school needs. Specifically, the number of teachers allocated to a school frequently does not increase with the number of students enrolled in that school, and teachers tend to be concentrated in urban areas. The degree of randomness in the allocation of teachers in northern Sudan is only about 49 percent (see figure O.4), which is worse than all Sub-Saharan African countries shown except Liberia. Two of the main constraints to effective deployment of teachers appear to be (a) the policy that deploys female teachers close to their spouses 12 Figure O.4 Sã o To m éa nd percent 0 10 20 30 40 50 Pr 60 ínc ip M Gu e oz in am ea biq Na ue m i Le bia so th o Ni Gu Se er g ine ne a- gal Bi ss Za au m b Source: Authors’ estimates from the various country status reports. Bu Rwa ia Ce rk nd nt ina a ra l A Ma Fa fri ur so ca ita n Re nia pu b Ga lic bo n M ad Ma ag li as c Gh ar an country E Sie thi a rra opi Cô Le a te on d’ e Ivo ire Ch Ug ad an da Co To ng go Co o, Re ng p o, B . De en m in .R e International Comparisons: Degree of Randomness in Teacher Allocations in Basic Education, by Country M p. Ca ala m wi er o Bu on ru n Lib di Su er da ia n (n or th er n) Overview • 13 (67 percent of teachers are female) and (b) the fact that there are no incentives (financial or otherwise) provided by the government to work in rural or remote schools. One of the critical areas to be addressed moving forward is how to attract teachers to hardship or remote areas. Some of the solutions could include recruiting teachers from those areas and providing financial incentives such as bonuses, faster promotions, or housing for teachers in remote schools. FEDERAL EDUCATION SPENDING Although government spending on education has increased, it remains low compared with other countries, particularly for basic education. Between 2000 and 2009, there was a substantial increase in education spending— from SDG 660 million in real terms to SDG 2.4 billion—which indicated the government’s commitment to expand and improve education. The share of gross domestic product (GDP) allocated to education doubled to 2.7 percent over this period, but northern Sudan still spends less on educa- tion compared with similar lower-middle-income countries in Africa and the Middle East. Furthermore, average spending on basic education as a share of total education spending, that is, 37 percent, is lower than that in Egypt, Kenya, and Morocco, which allocate 40 percent, 55 percent, and 46 percent, respectively. It is evident therefore that more resources are needed in the sector.4 This need will become an increasing challenge if eco- nomic growth slows down or government revenues decline, making the shift to efficiency in the use of resources all the more urgent. Following the government’s decentralization policy, the responsibili- ties of the states have increased significantly since the 2005 Comprehen- sive Peace Agreement. Education spending at the state level has followed this pattern: in 2009, states covered 83 percent of total public education spending (see figure O.5). In practice, however, the fiscal autonomy of some states has been limited because they rely heavily on federal transfers driven by federal policies that influence areas such as salary determina- tion (World Bank 2007). Government spending on goods and services in the education sector has been low, particularly for basic education, where goods and services account for only 5 percent of total recurrent spending. This relatively small share of public spending is offset by household spending on school running costs (EU 2008), which in 2009 were estimated to be an annual average of SDG 84 per person among urban households and SDG 24 per person among rural households World Bank 2010). 14 • The Status of the Education Sector in Sudan Figure O.5 Public Education Spending, by Administrative Level, 2000–09 3,000 constant 2008 SDG millions 2,500 2,000 1,500 1,000 500 0 00 02 04 05 06 07 08 09 20 20 20 20 20 20 20 20 year federal state Source: Authors’ estimates based on state ministry of education data collected in 2010. EQUITY-ORIENTED EDUCATION SPENDING Education needs, which vary within and across states, should drive over- all spending. Federal transfers are intended to redistribute resources so that all states are given equal opportunity to provide public services, including education, to their citizens.5 The rationale behind this decen- tralized service delivery system supports an environment conducive to addressing regional and social disparities by bringing the decision- making process and resources closer to the citizens. However, decentral- ization poses a challenge in terms of the varying capacities at the local level to raise revenues through taxes. In addition, decentralization pres- ents a challenge in terms of reporting to and coordinating with the Fed- eral Ministry of General Education, particularly when the roles and responsibilities of each level of government are not clearly defined. Federal resources are supposed to be allocated based on states’ finan- cial performance, population size, natural resources, human resources, infrastructure, education status, security status, and per capita income where each component is assigned a weight (EU 2008). However, a lack of data does not allow confirmation that this formula is followed in all cases. Rather, discussions with the states indicate that transfers for educa- tion are primarily based on states’ existing payroll and obligations (last year’s budget plus a negotiated increment) (see EU 2008). Although this formula helps states honor their payroll obligations and keep existing Overview • 15 education services running, it tends to perpetuate existing inequalities and reduce states’ spending autonomy. Further, the analysis of education spending in northern Sudan is ham- pered by several challenges. A consolidated budget for the three levels of government (federal, state, and local) is lacking; spending is not classified by function and purpose; data exist typically for budget allocations rather than executed amounts; and financial management capacity is weak at the state and local levels, which results in the incomplete reporting of spend- ing at these levels (World Bank 2007). Although the GoNU supports a strong equity-orientated approach to education service delivery in the ESSP, there is an urgent need to link the planning and budgeting processes with the education resource needs of different regions and vulnerable populations. A prerequisite for an equity- orientated approach to education service delivery is the regular collection and analysis of data on (a) key educational outcomes by region and pop- ulation groups, (b) past trends in investments and outcomes, and (c) gaps that need to be bridged in terms of key education outcomes (Jhingran and Sankar 2009). Moving forward, the Education Management Information System, currently being instituted by the Ministry of General Education in collaboration with the EU, will be critical in capturing such disaggre- gated educational input and output data. However, the collection of state- level education spending data remains an issue that needs to be dealt with more broadly to improve the public financial management system within the Ministry of Finance and National Economy. CONCLUSION The GoNU has made great efforts to increase access to education for chil- dren in northern Sudan across education subsectors over the past decade. In particular, educational access for children in areas previously affected by conflict has improved substantially since the signing of the peace agree- ments of 2005 and 2006. Estimates suggest that, on average, 90 percent of all children in northern Sudan had access to a formal school in 2010. However, inequities in access to schooling by gender and location persist. There continue to be regional disparities in access by children in rural areas, with girls facing the greatest disadvantage. The challenges ahead relate not only to reducing these inequities in access but also to improving the efficiency of the education system to produce young adults equipped with the skills and knowledge to secure their livelihoods and contribute to society. If northern Sudan is to achieve its target of Education for All, it needs to focus on three 16 • The Status of the Education Sector in Sudan things: enrolling all children, keeping them in school, and creating an environment that facilitates learning. The critical constraints facing the efficiency of the system in northern Sudan include the large number of dropouts at both basic and secondary levels, the ineffective deploy- ment of teachers across schools (and the inability to attract teachers to remote schools), insufficient resources (particularly textbooks) for stu- dents, and inadequate instructional time. Finally, two critical risks face the education sector. One is a contrac- tion in public spending—because of the heavy reliance of the country on oil revenues—resulting in reduced transfers to the states. The other is the lack of alignment between the educational needs of a state and the resources provided. NOTES 1. A similar learning assessment and service delivery study for secondary edu- cation was being conducted by the United Nations Educational, Scientific, and Cultural Organization/United Nations Children’s Fund (UNESCO/UNICEF) at the time this report was being compiled, as well as an early childhood develop- ment (ECD) assessment by UNICEF. A separate higher education learning paper was also being prepared by the World Bank at the time. 2. In 2007–08, there was a government campaign encouraging parents to send their children to school, and as a result, grade 1 enrollments increased. In 2008–09, there was no such campaign, and grade 1 enrollments dropped. 3. For the purpose of this comparison, public spending per student on school operating costs is defined as spending on goods and services. 4. Calculations were made after adjusting for the fact that basic education in northern Sudan is eight years rather than six. 5. The rules governing fiscal transfers are scattered in many documents, including the Comprehensive Peace Agreement of 2005, the Darfur Peace Agree- ment of 2006, and the Eastern Sudan Peace Agreement of 2006. REFERENCES EFA (Education for All). 2011. EFA Global Monitoring Report 2011. The Hidden Cri- sis: Armed Conflict and Education. Paris: United Nations Educational, Scientific, and Cultural Organization. Available at http://unesdoc.unesco.org/images /0019/001907/190743e.pdf. EU (European Union). 2008. Cost and Financing Study. FMoGE (Federal Ministry of General Education). Various years. “Statistical Year- books.” Khartoum. ———. 2008. “Baseline Survey on Basic Education in the Northern States of Sudan: Final Report June 2008.” Online document available at http://planipolis .iiep.unesco.org/epiweb/E029336e.pdf. GoNU (Government of National Unity). 2010. “Poverty in Northern Sudan: Esti- mates from the National Baseline Household Survey of 2009.” Khartoum. Overview • 17 GoNU (Government of National Unity) and GoSS (Government of Southern Sudan). 2006. Sudan Household Health Survey (SHHS) 2006. Khartoum/Juba: Central Bureau of Statistics and Southern Sudan Center for Census, Statistics and Evaluation. GoS (Government of Sudan), SPLM (Sudan Peoples Liberation Movement), World Bank, and UNDP (United Nations Development Programme). 2005. Joint Assessment Mission: Framework for Sustained Peace, Development, and Poverty Eradication. Vols. I–III. Available at http://www.unsudanig.org/docs/ Joint%20Assessment%20Mission %20(JAM)%20Volume%20I.pdf. Interim Constitution of the Republic of Sudan. 2005. Available at http://www .sudan-embassy.de/c_Sudan.pdf. Jhingran, Dhir, and Deepa Sankar. 2009. “Addressing Educational Disparity: Using District Level Education Development Indices for Equitable Resource Allocations in India.” Policy Research Working Paper 4955, South Asia Region, Human Development Network, World Bank, Washington, DC. UNHCR (United Nations High Commissioner for Refugees). 2010. Available at http://www.unhcr.org/cgi-bin/texis/vtx/home/opendocPDFViewer.html?docid =4dfdbf480&query=IDPs%20Sudan%202010. UNICEF (United Nations Children’s Fund). 2009. The State of the World’s Children 2009: Maternal and Newborn Health. New York: UNICEF. Available at http://www.unicef.org/sowc09/report/report.php. UNICEF/GoSS (United Nations Children’s Fund/Government of Southern Sudan). 2008. Socio-Economic and Cultural Barriers to Schooling in South Sudan. Juba. World Bank. 2007. “Sudan. Public Expenditure Review. Synthesis Report.” Report 41840-SD. World Bank, Washington, DC. ———. Forthcoming. “Public Expenditure Tracking Survey (PETS) for Northern Sudan: From Spending More to Spending Smart–Case Study of the Health Sector.” Poverty Reduction and Ecomonic Management Network, World Bank, Washington, DC. CHAPTER 1 Setting the Scene his chapter provides the context for education in Sudan. It begins with T an overview of the demographic, macroeconomic, and socioeconomic environment and is followed by a brief description of the administra- tive structure of education. The six subsequent chapters focus on details related to (a) overall enrollment trends, (b) patterns in student flow, (c) dis- parities in education provision, (d) status of educational service delivery in three states, (e) management of teachers, and (f) financing of the education system. SCOPE OF THIS EDUCATION SECTOR STATUS REPORT Sudan is committed to the Education for All (EFA) Initiative and the edu- cation Millennium Development Goals (MDGs) and to providing uni- versal access to quality education in both primary and secondary educa- tion. The five-year (2007–11) Education Sector Strategic Plan (ESSP) based on the 2001 Education Act of the Government of National Unity (GoNU) directs activities in the education sector. In developing its new ESSP, for 2012–16, the GoNU sought to assess the status of the education system in order to identify priority areas for development in the sector. This Education Sector Status Report is a diagnostic of the system for that purpose. It provides the knowledge base (box 1.1) that will inform the preparation of the 2012–16 ESSP and contribute to dialogue among rel- evant stakeholders on the continuing challenges and emerging strategic priorities for the education sector. The focus of this report is northern Sudan, which encompasses 15 states.1 The period since 2005 has been characterized by relative peace between northern and southern Sudan. Following decades of civil war, the Comprehensive Peace Agreement (CPA) was signed on January 9, 2005. 19 20 • The Status of the Education Sector in Sudan BOX 1.1 EDUCATION SECTOR STATUS REPORT DATA SOURCES This status report draws on existing data sources as well as pri- mary data collected by targeted studies. They are as follows: • School data from the federal Ministry of General Education statistical yearbooks (FMoGE various years) • Demographic data from the 2006 Sudan Household Health Survey (GoNU and GoSS 2006) and the short form of the 2008 population census (data from the Sudan Household Health Survey 2009 and the long form of the 2008 population census [GoNU and GoSS 2009] were not available at the time this report was being prepared) • Financing data from the national accounts of the Ministry of Finance and National Economy • School characteristics data from the 2008 baseline survey (FMoGE 2008) and the 2008 European Union Cost and Financing Study (EU 2008) • Primary data on state-level education expenditure collected by the team for 13 of the 15 northern states • Primary data collected in 3 of the 15 northern states for the service delivery chapter • Interviews with education stakeholders for individual chapters Through the institutionalization of autonomy for southern Sudan and the sharing of resources, the agreement offered an environment for both sides to concentrate their efforts on reconstruction and development. The East- ern Sudan Peace Agreement in 2006 brought peace to that region, though conflict has continued in the Darfur region after the Darfur Peace Agree- ment in 2006. DEMOGRAPHIC CONTEXT Sudan is a multicultural society and is undergoing rapid change. Located at the crossroads between North and East Africa and the Middle East, it was Africa’s largest country by area prior to the secession of South Sudan on July 9, 2011. Sudan is characterized by cultural, ethnic, and religious diversity and is home to numerous tribes, languages, and dialects. The official languages of Sudan are Arabic and English, though Arabic is the dominant language in northern Sudan. As in most African countries, Setting the Scene • 21 Sudan is undergoing rapid urbanization, with 43 percent of the popula- tion living in urban areas in 2008, which is up from 36 percent in 2000 and 27 percent in 1990.2 The strong rural-urban migration is in part driven by drought and desertification, as well as insecurity in rural areas (World Bank 2009). The accuracy of demographic data has always been an issue in Sudan. The combination of a vast territory, a large nomadic population, civil con- flict, and security concerns makes it difficult to count the population. Much effort was therefore invested in the 2008 population census (GoNU and GoSS 2009), the first postwar census in Sudan.3 The census estimated the total population of Sudan at 39.2 million. The population of just the 15 northern states was 30.9 million, corresponding to 79 percent of the total population of Sudan. The 15 northern states vary widely in population size. Khartoum State and neighboring Al Jazirah State are the main centers of economic activ- ity in Sudan (World Bank 2009). They are also among the largest states in terms of population: Khartoum State is home to 5.3 million inhabitants and Al Jazirah State to 3.6 million. Other large states include Southern Darfur (4.1 million), North Kordofan (2.9 million), and Northern Darfur (2.1 million), whereas the remaining 10 states have fewer than 2 million inhabitants each. The demographic context for providing universal basic education in northern Sudan is more advantageous than that for Sub-Saharan Africa generally. The share of 5–16-year-olds in the total population of northern Sudan in 2008 was 31.9 percent compared with the average across Sub- Saharan Africa of 34.4 percent. The share of 5–16-year-olds in the popu- lations of some of Sudan’s neighbors was larger, notably Ethiopia, with 36 percent, and Chad, with 37 percent. Thus, northern Sudan will be in a better position to shoulder the cost of providing basic education to all children than will several of its African neighbors. The pace of population growth has declined. This fact suggests that Sudan is nearing a demographic transition, where the size of the genera- tions will stabilize, which has positive implications for the affordability of the education system. The pattern of slowing population growth is most pronounced in Kassala, Northern, and Red Sea states; however, it is not present in all states. MACROECONOMIC CONTEXT The past 15 years have been a period of unprecedented economic growth in Sudan. Between 1975 and 1995, GDP per capita—a measure of average income per person—remained within a narrow band of 22 • The Status of the Education Sector in Sudan US$600–US$800 (in real terms). During this period, Sudan was a low- income country with an average income similar to that of Chad or Kenya in 2010. Since 1995, and especially since 1999 when Sudan started exporting oil in significant amounts, the country has experienced strong economic growth. Between 1995 and 2008, GDP per capita almost dou- bled in real terms, from US$780 to more than US$1,400 (figure 1.1). The economic expansion has brought with it increased investment and improved macroeconomic management. A 2009 World Bank report argues that Sudan’s oil wealth has led to considerable investment in infra- structure and utilities. For example, the length of the Sudanese road net- work grew by 80 percent between 2000 and 2008, and electricity genera- tion doubled over the same period. There are also improvements in macroeconomic management since the discovery of oil; for example, inflation was reduced from an average of 33 percent per year during the 1970s and 1980s to 8 percent per year since 1999. In spite of the benefits, Sudan’s overdependence on oil revenues threat- ens the stability of the economy. In the short term, the volatility of oil prices and uncertainties about oil production present challenges for fiscal management. In the long term, Sudan’s oil reserves are not unlimited, so future economic growth will depend on the development of nonoil sectors. GOVERNMENT REVENUE AND EXPENDITURE The strong economic growth in Sudan has been accompanied by an even stronger expansion of the public sector. Total GoNU spending grew from 11 percent of GDP in 2000 to 17 percent in 2009 (table 1.1). However, the Figure 1.1 Growth of GDP per Capita in Sudan, 1975–2008 1,600 $1,413 1,400 constant 2008 US$ 1,200 $1,137 1,000 $941 $780 800 $746 $716 $692 $631 600 400 1970 1975 1980 1985 1990 1995 2000 2005 2010 year Source: Adapted from World Bank 2009. Table 1.1 Trends in GoNU Revenues and Expenditures, 2000–09 Actual Budgeted Indicator 2000 2002 2004 2005 2006 2007 2008 2009 Total GoNU revenuea 6,901 8,800 15,152 16,071 18,569 20,768 24,274 16,591 As percentage of GDP 11 12 18 18 19 19 21 15 Percentage from oil 43 42 49 50 51 56 66 43 Total GoNU expenditurea 7,277 9,657 16,333 18,906 22,597 24,275 25,985 19,442 As percentage of GDP 11 13 20 21 23 23 22 17 Federal government expenditurea 6,665 9,044 15,087 13,564 14,481 15,318 14,413 11,028 Transfer to northern statesa 612 613 1,246 2,832 4,453 5,078 5,411 5,555 Transfer to GoSSa 0 0 0 2,510 3,664 3,880 6,161 2,858 Memo item: GDPa 65,696 73,484 82,761 87,999 97,933 107,886 116,887 112,209 Source: Data for 2007–10 are from the Ministry of Finance and National Economy revenue and expenditure accounts. Data for earlier years are from World Bank (2007). Estimated figures for GDP for 2009 and 2010 are from EIU (2010). Note: Current prices are shown in annex 1A to this chapter. GDP = gross domestic product; GoNU = Government of National Unity; GoSS = Government of Southern Sudan. a. Figures are in 2008 constant million Sudanese pounds (SDG). 23 24 • The Status of the Education Sector in Sudan GoNU expenditure figures do not include all public spending. They exclude spending by other levels of government, notably states and local- ities, which draw from their own locally generated sources of revenue. In absolute terms, GoNU revenues and expenditures were at their highest in 2008 as a result of that year’s spike in oil prices. Similarly, the decline in overall GoNU revenues and expenditures in 2009 can be attributed to the precipitous drop in oil export revenues (World Bank 2010a). Public spending in Sudan is still relatively modest relative to the size of its economy. In Sub-Saharan Africa, public spending of middle-income countries averages 35 percent of GDP, whereas public spending of low- income countries averages 25 percent of GDP, compared to 17 percent in Sudan. Since the 2005 CPA, the structure of the GoNU budget reflects the increasing level of decentralization in northern Sudan. Both the Govern- ment of Southern Sudan (GoSS) and the 15 northern states now receive very significant transfers from the GoNU. Transfers to the northern states have grown from 8 percent of total GoNU spending in 2004 to as much as 29 percent in 2009. Economic development has been unbalanced between the center and the periphery. Sudan’s growth process has historically been unbal- anced because the majority of its manufacturing firms and irrigated land were concentrated in Khartoum and Al Jazirah states. The capital city consumes nearly one-third of the total electricity produced in the country, whereas less than 7 percent of households in the country have access to the national grid (CEM 2010). Within northern Sudan, poverty is significantly higher in rural areas: one out of four urban dwellers is poor, as defined by the national poverty line, but three out of five are poor in rural areas. Poverty levels also vary by state, with the incidence of poverty ranging from one-fourth of the population in Khartoum State to more than two-thirds of the population in Northern Darfur (GoNU 2010). SOCIOECONOMIC BACKGROUND Despite the economic gains and increased government spending in recent years, socioeconomic indicators for northern Sudan remain weak. Poverty is widespread, with almost half the population (46.5 percent) in northern Sudan living below the national poverty line (GoNU 2010).4 Table 1.2 shows that anthropometric measures for children are worse in sev- eral states in Sudan compared to the regional average. In 12 of the 15 northern Sudan states, more than 34 percent of children are considered Setting the Scene • 25 Table 1.2 Anthropometric Measures of Sudan’s Children percent State Underweight Stunted Wasted Northern 41.6 38.7 26.3 River Nile 34.5 40.0 15.2 Red Sea 43.3 45.2 19.8 Kassala 53.9 68.5 23.7 Al Qadarif 42.5 55.2 11.4 Khartoum 24.5 37.2 13.1 Al Jazirah 28.5 41.3 9.7 Sinnar 38.0 50.4 14.0 Blue Nile 46.5 59.8 14.5 White Nile 40.2 48.7 15.3 North Kordofan 42.9 51.0 15.5 South Kordofan 35.3 43.0 14.9 Northern Darfur 55.0 48.6 28.5 Western Darfur 51.3 44.8 23.2 Southern Darfur 41.6 47.3 11.4 Sub-Saharan Africa (2000–07) 28 38 9 Middle East and North Africa (2000–07) 17 26 8 Source: For northern Sudan, the data are from the World Bank staff calculations (World Bank forth- coming) using data from the SHHS 2006 (GoNU and GoSS 2006). For Sub-Saharan Africa and the Middle East and North Africa, the data are from the National Center for Health Statistics of the U.S. Centers for Disease Control and Prevention and from the World Health Organization. underweight compared with the Sub-Saharan African average of 28 per- cent. Similarly, table 1.2 shows that except for Khartoum and Al Jazirah states, the average percentages of stunted and wasted children in northern Sudan are consistently higher than the 26 percent and 8 percent, respec- tively, in Sub-Saharan Africa. The prevalence of HIV/AIDS among 15–49- year-olds in all of Sudan is estimated to be 1.4 percent, which is below the 5 percent average in Sub-Saharan Africa and above the 0.3 percent average in the Middle East and North Africa region. However, the Joint United Nations Programme on HIV/AIDS (UNAIDS 2009) estimates that the HIV prevalence rate for adults in northern Sudan is 0.67 percent, which is lower than the average for all of Sudan. Sudan’s population includes the largest number of internally dis- placed persons (IDPs) in Africa.5 Out of the total 11.6 million IDPs in 19 countries on the continent, there are an estimated 4.1 million IDPs in 26 • The Status of the Education Sector in Sudan Sudan, including South Sudan, (UNHCR 2010) as a result of conflict and instability. Of these, the United Nations High Commissioner for Refugees (UNHCR) estimates that 2.6 million are located in the Darfur region alone, with another 1.7 million in Khartoum State. About 400,000 of the IDPs in Khartoum State reside in four sites recognized by the authorities, while the rest live in informal squatter areas in and around the city. Children who have been displaced often do not have access to education because it is not considered a priority humanitarian or early reconstruction response. Sudan also has a large nomadic population. The total number of nomads in Sudan is not clear, but the Joint Assessment Mission (GoS and others 2005) estimated that 8.5 percent of both northern and South Sudan’s population were nomads at the time. Providing educa- tion services for nomads remains a significant challenge because they are perpetually on the move, they often attach little value to education, and old traditions require girls to marry young (UNICEF 2009). ADMINISTRATIVE STRUCTURE OF GENERAL EDUCATION IN NORTHERN SUDAN General education in northern Sudan is 13 years, including 2 years of pre- school, 8 years of basic school, and 3 years of secondary school.6 The offi- cial length of the academic year at all levels of general education is 210 working days, and the year is divided into two semesters. The length of the academic year and the timing of the secondary school certificate exami- nation are determined by the federal Ministry of General Education (FMoGE), while the states decide on a suitable school calendar (see annex 1B for details). Basic education in northern Sudan is intended to be free and com- pulsory.7 According to the Interim Constitution of the Republic of Sudan (2005), basic education is compulsory and should be provided by the state free of charge. Similar clauses are documented within the Eastern Front Peace Agreement and the Darfur Peace Agreement. The CPA has necessitated the development of a national curriculum framework that addresses the multicultural, multiethnic, and multireli- gious context of Sudan. The National Center for Curriculum and Educa- tion Research (NCCER), which is responsible for all aspects of developing and supporting the national curriculum framework for basic and second- ary education, is currently undertaking an assessment of the curricu- lum across Sudan in order to propose a framework for developing a new curriculum in line with the requirements of the CPA. Curriculum Setting the Scene • 27 development for preschools and IDP schools is the responsibility of the state ministries of education. Nomadic schools operate with the same cur- riculum as that used in regular schools. There are five core areas in the basic education curriculum and nine in the secondary school curriculum. The five areas in basic education are religion, language, mathematics, man and the universe, and applied arts. Rather than a subject-oriented approach, the basic education curriculum focuses on thematic areas; for example, the area of man and the universe includes instruction in science, history, geography, and religion. With the assistance of the United Nations Children’s Fund (UNICEF), a compre- hensive life skills curriculum was also introduced in 2008 and is being rapidly implemented across schools. The life skills curriculum includes developing self-confidence and dealing with conflict, HIV/AIDS, and gender issues. In secondary education, there are nine core subjects includ- ing Arabic, Islamic studies, English, mathematics, physics, chemistry, biology, geography, and history. Optional subjects include computers, agri- cultural and animal protection, commercial science, family studies, mili- tary studies, and engineering studies. As a result of the CPA and the Interim Constitution of the Republic of Sudan (2005), northern Sudan has a decentralized system of education serv- ice delivery. Within the education sector, the federal government, through the FMoGE in Khartoum, is in charge of planning, coordinating, and moni- toring across the three general education levels. In addition, the FMoGE directs policy development in three key areas: secondary school certification, the qualification framework for teachers, and development of the basic and secondary education curricula. Policies related to human resource manage- ment and certification for basic education fall under the purview of the state government. Further, the states and mahalyas (localities) are responsible for the delivery of preschool, basic, and secondary education. In contrast, higher education is managed (both policies and service delivery) by the federal Ministry of Higher Education and Scientific Research (MoHESR). On the one hand, a decentralized service delivery system supports the creation of an environment conducive to addressing regional and social disparities by bringing the decision-making process and the resources closer to the people of a region. On the other hand, decentralization poses a challenge in terms of the varying capacities that exist at the local level to raise revenue through taxes and design and to implement policies. In addition, decentralization presents a challenge for subnational govern- ments in terms of reporting to and coordinating with the FMoGE, partic- ularly because the roles and responsibilities of each level of government are not clearly defined. 28 • The Status of the Education Sector in Sudan Education service delivery in Sudan is severely hampered by the uncer- tainties that surround the disbursal of funds to subnational governments (World Bank 2010a). The Country Integrated Fiduciary Assessment for 2005–2007 found that the northern states are highly dependent on inter- fiscal transfers from the federal government, yet budget allocations are rarely realized outside of Chapter I (that is, salary and staff costs). This situ- ation makes both the planning and delivery of education services difficult. ANNEX 1A: POPULATION BY AGE IN 2008 Table 1A.1 provides the total population in each of the five census years starting with 1956, and calculates the rate of population growth in the intervals between censuses. There is no clear trend in the population growth rate per year, first increasing from 2.2 percent to 3.7 percent, then declining from 3.7 percent to 1.9 percent, and increasing again to 2.9 per- cent. This uneven trend suggests that some censuses attained a better cov- erage of the population than did others. The 2008 population data are not smooth. Figure 1A.1 zooms in on the population ages 24 years and younger and shows the distribution of this group by age. The chart shows a very uneven population curve, with Table 1A.1 Population of Sudan by Census Year and Average Growth in Intervening Years, 1956–2008 1956 Growth 1973 Growth 1983 Growth 1993 Growth 2008 Item (million) (percent) (million) (percent) (million) (percent) (million) (percent) (percent) Total population 10.3 2.2 14.8 3.7 21.3 1.9 25.6 2.9 39.2 Source: Authors’ construction based on data from the Population Census Council/Technical Working Group 2009. Figure 1A.1 Raw Population Data in Sudan, Ages 0–24 Years, 2008 1,600,000 1,400,000 1,200,000 population 1,000,000 800,000 600,000 400,000 200,000 0 0 2 4 6 8 10 12 14 16 18 20 22 24 age (years) Source: 2008 population census (GoNU and GoSS 2009). Setting the Scene • 29 the numbers for most of the even ages (6, 8, 12, and so on) being higher than those for the uneven ages (7, 9, 11, and so on), as well as very high numbers of 10- and 20-year-olds. These peaks reflect errors, or biases, in the data that arise because parents may not know the exact ages of their children and find it easier to report the approximate ages (which tends to be easier, rounded numbers, such as 10, 20, and the like). If the raw cen- sus data are used to calculate age-specific indicators—such as the gross intake rate or the primary completion rate—the errors in the population data will translate into errors in the analysis of, in this example, education coverage. For these errors in the data to be corrected, the population data by single ages therefore need to be smoothed. There appears to be an underreporting of infants in the census data.8 Figure 1A.1 also shows that the number of infants, that is, children ages 0 and 1 year, in the population data is very low. This finding could have two explanations: (a) a sudden drop in fertility in Sudan or (b) an under- reporting of infants in the census. According to Ahmed (2008), it is com- monly known that some tribes in Sudan “report lesser number of their children believing that the evil eyes of the enumerators will kill their chil- dren if they report many.” Therefore (and because there are no other sources to suggest a sudden drop in fertility), we may conclude that there are errors in the data on the number of infants. For the purposes of this study, population data for the 2–24 age group were smoothed. That choice was made because of the two data issues mentioned. Here, smoothing simply means redistributing population across single ages while holding the total population constant. The smoothing was done at the level of each state and then aggregated to national-level smoothed population data. In the following, figure 1A.2 shows the smoothed population data for all of Sudan. Figure 1A.2 Raw and Smoothed Population Data in Sudan, Ages 2–24 Years, 2008 1,500,000 population 1,000,000 500,000 0 2 4 6 8 10 12 14 16 18 20 22 24 age (years) raw data smoothed data Source: Authors’ construction based on the 2008 population census (GoNU and GoSS 2009). 30 • The Status of the Education Sector in Sudan Although it is hard to see this trend in figure 1A.2, the shape of the smoothed curve indicates a deceleration in the pace of growth in the size of each generation born in Sudan. This finding suggests that Sudan is near- ing a demographic transition, where the size of the generations will stabi- lize (with obvious implications for the education system). This pattern of slowing population growth—which is most pronounced in Kassala, Northern, and Red Sea states—is not present in all states, however. ANNEX 1B: ADMINISTRATIVE STRUCTURE OF THE EDUCATION SYSTEM The Ministry of General Education (MoGE) functions according to five- year sector strategic plans. The current strategic plan runs from 2007 to 2011. The National Council for General Education approves the plans and then the Council of Ministers ratifies the strategy to be implemented by federal, state, and local governments. States develop plans that are submitted to the FMoGE for incorporation into a national strategic plan. Based on the five-year strategic plan, annual work plans and budgets are developed at the national and state levels. STRUCTURE OF THE FEDERAL MINISTRY OF GENERAL EDUCATION9 As seen in figure 1B.1, there are four entities that report directly to the min- ister, which include the UNESCO (United Nations Educational, Scientific and Cultural Organization) National Committee, the National Center for Curricula and Educational Research (NCCER), the National Center for Languages (SELTI), and the general secretariat for the National Council of Illiteracy and Adult Education. There are nine general directorates and 49 specialist directorates under the supervision of the undersecretary. The general directorates include (a) educational planning, (b) technical educa- tion, (c) educational external relations, (d) services and administrative affairs, (e) information center, (f) media and public relations, (g) educa- tional training and qualifications, (h) examinations, and (i) student activ- ities. Excluding the four entities reporting directly to the minister, the total number of positions in the FMoGE administrative offices is 915.10 According to the recently completed organizational review (FMoGE 2010), there is considerable overlap and duplication of functional units. The review found that 70 percent of FMoGE staff members who were interviewed had not seen formal job descriptions for their respective positions (table 1B.1). Despite the small percentage of employees who Setting the Scene • 31 Figure 1B.1 Organizational Structure of the FMoGE National Center for National Council for Illiteracy Curriculum and Research and Adult Education Minister of General Education Sudan National Center State Minister of Education UNESCO for Languages National Under Secretary Finance and Accounts Social Services Monitoring Unit • General Directorate of • General Directorate of • General Directorate of • General Directorate of Educational Planning Technical Education Educational External Services and Strategic Planning and Technical Education and Relations Administrative Affairs Monitoring Directorate Curricula Directorate School Feeding Headquarters Affairs Preschool Education Directorate Industrial and Handcraft Directorate Directorate Nomadic Education Directorate Education Directorate Secondment and Directorate of Self Implementation of Educational Commercial Education Missions Directorate Security Projects Directorate Directorate Cultural Relations Directorate of Educational Documentation Directorate of Statistics and Directorate Logistics Directorate Monitoring Organisations Directorate of Records Educational Studies and Service and Administrative Directorate Directorate of Archives Renovations Directorate Affairs Directorate Non-governmental and Service Affairs Girls Education Directorate Directorate of Female Foreign Education Directorate Educational Economics Education Directorate Transportation Directorate Directorate of Media and Friendship Schools Directorate Special Education Directorate External Relations Directorate Clerk Directorate Religious Education Directorate Equipments and Maintenance Warehouse Unit South-North Transportation Unit Coordination • Information Centre Directorate Information • General Directorate of • General Directorate of Technology Projects and Educational Training and Examinations • General Directorate of Technical Training Qualifications Examinations Directorate Student Activities Database and In-service Training Directorate Educational Evaluation Physical Education and Documentation Directorate of Educational Directorate School Sports Advisory Educational Technology Directorates • General Directorate of Leadership Training Directorate Directorate Cultural Education and Government Scholarship Statistics, Assessment and Enrichment Program Media and Public Directorate Certificates Directorate School Health Relations Educational Media Food Culture and School Farming Directorate Directorate Educational Studies and Research Public Relations Directorate Directorate Table 1B.1 Availability of Job Descriptions in the FMoGE percent Question Yes No Availability of formal job descriptions 17 70 Incumbent read his or her job description 17 47 Source of information and learning Briefed by senior staff 40 Experience and colleagues 60 Source: FMoGE 2010. Note: Because job descriptions only exist for 17 percent, the rest could only be perceived roles and responsibilities and may not correspond to what is actually expected. 32 • The Status of the Education Sector in Sudan had seen formal job descriptions, 94 percent of respondents claimed they knew their duties and responsibilities well. When asked how they learned about their roles and responsibilities, 40 percent said they had been briefed about their duties by a senior member of the organization, whereas the remaining 60 percent said they learned about their duties, roles, and responsibilities over time and from their colleagues and senior staff. Con- sidering the devolution of school education to the states, staffing levels in the FMoGE’s administration are considered to be inflated. As a result of the CPA, a revised organizational structure for the education sector was submitted to the Council of Ministers in 2007 by the Ministry of Labor, Public Service and Human Resources Development. The revised structure reduces the number of staff members from 915 to 603. However, this pro- posal has yet to be formally endorsed by the council. ADMINISTRATION OF TECHNICAL AND VOCATIONAL EDUCATION There are three ministries involved in the administration of technical and vocational education in northern Sudan (figure 1B.2): the MoHESR offers degree courses in technical education in higher education institutions; the MoGE and state ministries offer courses in technical secondary education; and the Ministry of Labor, Public Service and Human Resource Develop- ment (MoLPSHR) offers apprenticeships and vocational training programs through private enterprises, nongovernmental organizations, and the public sector. The difference between courses offered by the MoGE and the MoLPSHR is defined by their relative proportion of technical and practical content. Technical secondary education offered by the MoGE has 50 percent theoretical and 50 percent practical courses, whereas the vocational training offered by the MoLPSHR has 30 percent theoretical and 70 percent practical courses. Figure 1B.2 Ministries Providing Technical and Vocational Training FMoGE MoHESR MoLPSHR SMoGEs 52 vocational 19 public 5 types of schools technical colleges apprenticeships 115 technical (higher education and training schools institutions) programs (secondary level) Note: FMoGE = Federal Ministry of General Education; MoHESR = Ministry of Higher Education and Scientific Research; MoLPSHR = Ministry of Labor, Public Service and Human Resource Devel- opment; SMoGE = State Ministry of General Education. Setting the Scene • 33 The National Council for Technical and Technological Education (NCTTE) was established in December 2005 to consolidate all programs dealing with technical and vocational education under one accreditation body. The council consists of 38 members headed by the vice president of northern Sudan. One duputy chairman represents the MoHESR and another, the MoGE. The purpose of the NCTTE is to improve the quality of technical and vocational education and to ensure that the courses and programs offered correspond with the needs of the labor market. ADMINISTRATION OF HIGHER EDUCATION The MoHESR has overall responsibility for higher education in the entire nation, both northern and southern Sudan. There are five types of higher education institutions in Sudan: public universities, public technical col- leges, private universities, philanthropic universities, and private colleges. Universities confer degrees and colleges confer diplomas. Philanthropic universities are not-for-profit private institutions established by communi- ties and funded by philanthropists. They differ from other private universi- ties in that the communities that establish them actively participate in the management and the programs offered by the institutions. NOTES 1. A parallel study was undertaken for the semiautonomous region of south- ern Sudan, see GoSS/World Bank (forthcoming). 2. Based on World Development Indicators (World Bank 1990; 2000). 3. For the purposes of this study, population data from the 2008 population census (GoNU and GoSS 2009) for the 2–24 age group were smoothed because the census data reflected an uneven population curve and underreporting of infants. Smoothing simply means that the population was redistributed across single ages while holding the total population constant (see annex 1A for details). 4. The poverty line is defined as SDG 114 per person per month. 5. Internally displaced persons are “persons or groups of persons who have been forced or obliged to flee or leave their homes or places of habitual resi- dences, in particular as a result of or in order to avoid the effects of armed con- flict, situations of generalized violence, violations of human rights or natural or human-made disasters, and who have not crossed an internationally recognized State border” (Guiding Principles of Internal Displacement 1998). 6. Preschools include khalwas, which are traditional Islamic schools that teach the Quran, and public and private preschools. 7. Basic education refers to primary education in Sudan. 8. During the preparation of this report, these two issues were discussed with the Central Bureau of Statistics in both Khartoum and Juba and with the coun- terparts in the ministries of education. 9. As a result of the Comprehensive Peace Agreement, a revised organizational structure for the education sector was submitted to the Council of Ministers in 34 • The Status of the Education Sector in Sudan 2007 by the Ministry of Labor, Public Service and Human Resources Develop- ment. This proposal has yet to be formally endorsed by the council. 10. According to the FMoGE organizational review (2010), this includes 304 posts with shared responsibilities across units (twinning), 50 posts for the “friend- ship” schools in Chad, and an additional 300 posts for ancillary personnel such as drivers and cleaners. REFERENCES Ahmed, Awad Hag Ali. 2008. “The Fifth Population Census in Sudan: A Census with a Full Coverage and a High Accuracy.” Al Neelain University, Khartoum. http:// unstats.un.org/unsd/demographic/sources/census/country_impl.htm. EIU (Economic Intelligence Unit). 2010. Available at http://country.eiu.com/Sudan. EU (European Union). 2008. Cost and Financing Study. FMoGE (Federal Ministry of General Education). Various years. Statistical Year- books. Khartoum. ———. 2008. “Baseline Survey on Basic Education in the Northern States of Sudan: Final Report June 2008.” Khartoum. Online document available at http://planipolis.iiep.unesco.org/epiweb/E029336e.pdf ———. 2010. “Organizational Review and Training and Development Needs Assessment.” Education Management Information System Project Implemen- tation Unit, Khartoum. GoNU (Government of National Unity). 2010. “Poverty in Northern Sudan: Esti- mates from the NBHS 2009.” Draft, Central Bureau for Statistics, Khartoum. GoNU (Government of National Unity) and GoSS (Government of Southern Sudan). 2006. Sudan Household Health Survey (SHHS) 2006. Khartoum/Juba: Central Bureau of Statistics and Southern Sudan Center for Census, Statistics and Evaluation. ———. 2009. Fifth Sudan Population and Housing Census: 2008. Khartoum and Juba: Central Bureau of Statistics and Southern Sudan Center for Census, Sta- tistics, and Evaluation. GoS (Government of Sudan), SPLM (Sudan Peoples Liberation Movement), World Bank, and UNDP (United Nations Development Programme). 2005. Joint Assessment Mission: Framework for Sustained Peace, Development, and Poverty Eradication. Vols. I–III. Available at http://www.unsudanig.org/docs/ Joint%20Assessment%20Mission% 20(JAM)%20Volume%20I.pdf. GoSS (Government of South Sudan) and World Bank. Forthcoming. “Education in South Sudan: Status and Challenges for a New System.” World Bank, Wash- ington, DC. Guiding Principles of Internal Displacement. 1998. Available at http:// daccess-dds-ny.un.org/doc/UNDOC/GEN/G98/104/93/PDF/G9810493 .pdf? OpenElement. Interim Constitution of the Republic of Sudan. 2005. Available at http://www .sudan-embassy.de/c_Sudan.pdf. Population Census Council/Technical Working Group. 2009. Priority results of the Fifth Sudan Population and Housing Census: 2008 submitted to the Population Census Council by the Technical Working Group. Powerpoint presentation. UNAIDS (Joint United Nations Programme on HIV/AIDS). 2009. Available at http://www.unaids.org/es/dataanalysis/monitoringcountryprogress/2010 progressreportssubmittedbycountries/file,33666,es.pdf. Setting the Scene • 35 UNHCR (United Nations High Commissioner for Refugees). 2010. Available at http://www.unhcr.org/cgi-bin/texis/vtx/home/opendocPDFViewer .html?docid=4dfdbf480&query=IDPs%20Sudan%202010. UNICEF (United Nations Children’s Fund). 2009. The State of the World’s Children 2009: Maternal and Newborn Health. New York: UNICEF. Available at http:// www.unicef.org/sowc09/report/report.php. World Bank. 1990. World Development Indicators. Washington, DC: World Bank. ———. 2000. World Development Indicators. Washington, DC: World Bank. ———. 2007. “Sudan. Public Expenditure Review. Synthesis Report.” Report 41840-SD. World Bank, Washington, DC. ———. 2009. World Development Indicators. Washington, DC: World Bank. ———. 2010a. “Northern States Budget Review Notes.” Draft. World Bank, Washington, DC. ———. 2010b. “Sudan. Country Economic Memorandum.” World Bank, Washington, DC. CHAPTER 2 Overall Enrollment Patterns his chapter reviews the trends in student enrollments in northern T Sudan over the past nine years, and contrasts these trends with the evolution in the numbers of schools and teachers. It goes on to assess the trends in coverage at the various levels of education. Finally, the chap- ter compares the educational coverage in northern Sudan with that of similar countries, and draws on alternative sources of data to cross-check existing estimates of the coverage of basic school education.1 STRUCTURE OF THE EDUCATION SYSTEM AND ENROLLMENTS The formal education system in northern Sudan has four levels. These lev- els include (a) two years of preschool education in kindergartens or khal- was,2 (b) eight years of basic school, (c) three years of secondary school divided into an academic and a technical track, and (d) higher education in universities and higher institutes.3 Since 1993, teacher education has been part of higher education. As mentioned in chapter 1, the system offers 13 years of general edu- cation. Because the formal age of entry to basic school is 6 years, it follows that preschool is targeted to 4–5-year-olds, basic school to 6–13-year- olds, and secondary school to 14–16-year-olds—thus, a total of 13 years of general education systemwide. The federal Ministry of General Education (FMoGE) publishes statisti- cal yearbooks with data on preschool, basic, and secondary schools. The Ministry of Higher Education and Scientific Research (MoHESR) main- tains data on higher education.4 Table 2.1 provides data on the trends in student enrollments between 2000–01 and 2008–09 based on these two data sources. 37 38 Table 2.1 Trends in Student Enrollments by Level of Education in Northern Sudan, 2000–01 to 2008–09 Average annual growth Education level or form 2000–01 2001–02 2002–03 2003–04 2004–05 2005–06 2006–07 2007–08 2008–09 (percent) Preschool 334,655 341,655 409,092 411,681 416,050 471,189 470,928 592,399 725,113 10 Kindergarten 595,057 — Khalwas 130,056 — Basic 3,314,281 3,401,496 3,589,527 3,767,260 3,905,381 4,193,939 4,237,907 4,688,685 4,870,464 5 Secondary 460,605 477,174 499,363 595,362 620,347 613,863 615,534 658,842 734,859 6 Academic 429,721 446,762 476,476 572,997 594,114 569,735 585,266 628,295 707,654 6 Technical 30,884 30,412 22,887 22,365 26,233 44,128 30,268 29,507 27,205 –2 Higher 317,139 453,866 7 Other Secondary Islamic 2,105 2,360 1,450 — Special education 2,073 2,000 2,000 1,763 6,821 9,966 24,666 36,677 39,752 45 Adolescents’ education 2,468 2,468 5,776 11,509 19,441 161,001 87,748 54,017 13,382 24 Literacy and adult education 388,910 106,885 157,326 215,802 180,411 422,576 288,256 301,903 181,465 –9 Source: FMoGE statistical yearbooks for the years indicated. For higher education, data are from the MoHESR. Note: Figures include both public and private enrollments. FMoGE = federal Ministry of General Education; MoHESR = Ministry of Higher Education and Scientific Research; — = not available. Overall Enrollment Patterns • 39 Enrollments have greatly increased at all four levels of the system. Pre- school enrollments more than doubled from 2000–01 to 2008–09; they grew from 335,000 to 725,000 students. Basic school enrollments grew from 3.3 million in 2000–01 to 4.9 million students in 2008–09. Sec- ondary school enrollments grew from 461,000 students in 2000–01 to 735,000 in 2008–09 because of an increase in enrollments in the aca- demic track, but enrollments in the much smaller technical track con- tracted.5 Higher education enrollments grew from 317,000 students in 2002–03 to 454,000 students in 2007–08. Few students attend adolescents’ education, special education, and literacy and adult education. The yearbooks also report a small num- ber of students attending Islamic secondary education: 1,450 in 2008–09. That same year, a fairly small number of students attended adolescents’ education: about 14,000. Some 40,000 students attended special education in 2008–09, up from only about 2,000 students at the beginning of the decade. Literacy and adult education is the largest subsector outside the structure of the formal system, but enrollments fluctuate greatly from one year to the next without exhibiting a clear trend: in 2008–09, enrollments were about 180,000 students, down from 300,000 a year earlier and almost 400,000 at the beginning of the decade. The fastest relative growth in enrollments has taken place in pre- school and higher education. As shown in table 2.1, the fastest relative growth in enrollments since 2000–01 occurred in preschool (10 per- cent per year), higher education (7 percent per year), secondary school (6 percent per year), and basic school (5 percent per year). However, basic education is the level that accounts for the largest absolute increase in enrollments. As illustrated in figure 2.1, basic education is by far the largest subsector of education in terms of student enroll- ments. That is why—although basic education experienced the lowest relative growth in enrollments—basic schools still account for the largest absolute increase in student numbers since 2000–01. Enroll- ments in basic schools grew by almost 1.6 million students in just eight years. Overall, growth in basic school enrollments accelerated after 2005. These enrollments increased by almost a million students between 2004–05 and 2008–09, which corresponds to an average annual growth of 5.7 percent. In comparison, there was an average annual increase of 4.2 percent between 2000–01 and 2004–05. Several events occurred in 2005 that explain this acceleration: (a) the signing of the Comprehen- sive Peace Agreement (CPA) between northern and southern Sudan, 40 • The Status of the Education Sector in Sudan Figure 2.1 Trends in Student Enrollments in Northern Sudan, 2000–01 to 2008–09 7,000,000 6,000,000 5,000,000 enrollment 4,000,000 3,000,000 2,000,000 1,000,000 0 1 2 3 4 5 6 7 8 9 –0 –0 –0 –0 –0 –0 –0 –0 –0 00 01 02 03 04 05 06 07 08 20 20 20 20 20 20 20 20 20 academic year preschool basic secondary (academic and technical) higher education Source: Authors’ calculations based on FMoGE statistical yearbooks for the years indicated. Note: Data on aggregate higher education enrollments were available for only the two years shown. (b) a large increase in the transfer of resources to the states, and (c) a policy declaration within the Interim Constitution of 2005 stating that basic schooling should be free. The Darfur Peace Agreement and the Eastern Sudan Peace Agreement were signed a year later, in May 2006. Some states now have close to full enrollment in basic school. As illus- trated in figure 2.2, which provides such enrollments in selected states from 2001–01 to 2008–09, Northern and River Nile enrollments were flat over this period. In these states, as we see in chapter 4, almost all children already have access to basic school, and had access even during the con- flict years. Because these states are fairly close to enrolling all children in basic school, enrollment growth has slowed and is now largely driven by demographic growth. In other states, such as Southern Darfur and West- ern Darfur, there was a surge in enrollments after 2005. These states were more affected by conflict and are now benefiting from the more peaceful circumstances. Thus, there is evidence of a positive impact of peace on basic school enrollments for the populations that were disadvantaged and affected by conflict prior to 2005. Figure 2.3 shows the average annual growth in basic school enrollments from the 2004–05 to the 2008–09 academic Overall Enrollment Patterns • 41 Figure 2.2 Evolution in Basic School Enrollments in Selected States, 2000–01 to 2008–09 450,000 400,000 350,000 basic school enrollment 300,000 250,000 200,000 150,000 100,000 50,000 0 1 2 3 4 5 6 7 8 9 –0 –0 –0 –0 –0 –0 –0 –0 –0 00 01 02 03 04 05 06 07 08 20 20 20 20 20 20 20 20 academic year 20 Southern Darfur Western Darfur River Nile Northern Source: Based on FMoGE statistical yearbooks for the years indicated. Figure 2.3 Average Growth Rates for Basic School Enrollments, by State, 2004–05 to 2008–09 15 13% 14% 15% 12% 11% 10 8% 8% 8% 6% percent 5% 6% 5 2% 0% 0% 0 –1% –2% –5 n h ile um r ala a Ko e Ko n an r r ile r n rif na rth arfu rfu rfu il Se er ira rth ofa da da rN eN N of ss to rth Sin Da Da Su az d rd rd ue Qa D Ka ar ve Re hit No J n rn n rn Bl Kh Al Ri Al er er W he te h rth es ut ut No no No W So So state Source: Authors’ calculations based on FMoGE statistical yearbooks for the years indicated. years in each of the 15 northern states. It is noteworthy that basic school enrollments grew rapidly after 2005 in most or all of the states affected by one of the three conflicts, particularly the three Darfur states in the western part, the Kordofan states and Blue Nile in the southern part, and Kassala and Red Sea in the eastern part of Sudan. 42 • The Status of the Education Sector in Sudan TRENDS IN NUMBERS OF SCHOOLS AND TEACHERS The numbers of schools, teachers, and students have increased, but not at the same pace. Table 2.2 provides data that describe some basic characteristics of schools in northern Sudan and assess trends in school size and student- teacher ratios from 2004–05 to 2008–09. This table provides useful infor- mation about how the education system has adapted to and possibly facilitated the growth in student enrollments in recent years. The various levels of general education have exhibited very different development trends, as follows: • Enrollments in preschool have outpaced the also rapid increase in the number of schools, leading to moderately larger schools and higher student-teacher ratios. Despite a rapid expansion in the number of schools at this level, enrollments in the average preschool have grown from 49 students in 2004–05 to 53 students in 2008–09. The average national student- teacher ratio for preschool has also increased and is now 32:1.6 • The number of basic schools has kept pace with basic school enrollments, but there are fewer teachers per school and higher student-teacher ratios. Basic school enrollments and the number of basic schools have both increased by about 25 percent since 2004–05. The average school size has therefore remained about 300 students. However, the average school now has 9.1 teachers, down from 9.9 teachers in 2004–05. As a result, the student-teacher ratio has risen from 30 students per teacher in 2004–05 to 33 students per teacher in 2008–09.7 This ratio is below the average of more than 50 students per teacher in 33 low-income Sub-Saharan African countries (Mingat, Ledoux, and Rakotomalala 2010) and low compared with the average of 40 students per teacher often cited for countries that have not yet reached universal primary completion (Bruns et al. 2003). The northern Sudan ratio is high, how- ever, compared with the average primary education student-teacher ratio of 26:1 across middle-income Sub-Saharan African countries or of 19:1 across Middle Eastern and North African countries.8 • The number of academic secondary schools has increased significantly since 2004–05, leading to smaller schools and lower student-teacher ratios. In secondary education, the trends are very different from those of pre- school and basic schools. At this level, the average school size has dropped from 269 students in 2004–05 to 212 students in 2008–09. The student-teacher ratio has also dropped from 19:1 to 17:1 over the same period. It is noteworthy that although preschools and basic schools have similar student-teacher ratios (about 33:1), the average Table 2.2 Increase in the Number of Schools, Teachers, and Students from 2004–05 to 2008–09 Preschool Basic Academic secondary Technical secondary Percentage Percentage Percentage Percentage Indicator 2004–05 2008–09 change 2004–05 2008–09 change 2004–05 2008–09 change 2004–05 2008–09 change Number of Schools 8,452 13,657 62 13,125 16,290 24 2,209 3,339 51 114 170 49 Teachers 14,834 22,990 55 130,048 147,833 14 31,348 41,249 32 1,363 1,915 40 Students 416,050 725,113 74 3,905,381 4,870,464 25 594,114 707,654 19 26,233 27,205 4 Average number of Students per school 49 53 8 298 299 0 269 212 –21 230 160 –30 Teachers per school 1.8 1.7 –6 9.9 9.1 –8 14.2 12.4 –13 12.0 11.3 40 Students per teacher 28 32 14 30 33 10 19 17 –11 19 14 –26 Source: FMoGE statistical yearbooks for the years indicated. Note: This table is based on all schools, both government and nongovernment. Annex table 2A.1 provides data on the number of basic schools in each state by type of school. 43 44 • The Status of the Education Sector in Sudan ratio in secondary school is only about half, with 17 students per teacher. The low student-teacher ratio in secondary schools is likely a result of the greater use of specialized teachers at this level. • The numbers of technical secondary schools and teachers have expanded greatly, but there has been no growth in enrollments. Although the num- ber of schools has grown rapidly, available statistics show that stu- dent enrollments have remained flat. However, these contradictory trends suggest that data on technical secondary education may be incomplete. PUBLIC-PRIVATE SHARES OF ENROLLMENTS The share of students enrolled in nongovernment schools varies across levels of education. These schools include fee-charging as well as not-for-profit institutions run by religious, community, and other nongovernmental organizations (NGOs). At the preschool level, this category also includes the khalwa schools; and at the secondary level, it includes tutorial classes organized by the Teachers’ Union. Figure 2.4 shows the proportion of students who are enrolled in nongovernment schools according to the FMoGE statistical yearbooks. Figure 2.4 Share of Students Enrolled in Nongovernment Schools, 2008–09 or Latest Available Year preschool 20% 18% basic 5% education level academic secondary 18% 6% technical secondary 0% higher 11% 0 10 20 30 40 percent private or NGO schools khalwa schools Teachers’ Union classes Source: FMoGE 2008–09 statistical yearbook. Data for higher education relate to the 2007–08 academic year. Note: NGO = nongovernmental organization. Overall Enrollment Patterns • 45 The nongovernmental sector plays an important role in providing education at the preschool and secondary education levels. Govern- ment schools account for about 95 percent of enrollments in basic schools, 100 percent of enrollments in technical secondary schools, and almost 90 percent of enrollments in higher education. This find- ing could indicate that federal and state governments have, to some degree, prioritized the development of these levels of education. Regarding technical secondary education, which in most countries is quite costly to provide, it may also be uneconomical for the private sec- tor to enter this market, which could explain why there are no non- government technical secondary schools. At the preschool level, non- government schools—which include the religious khalwa schools as well as fee-charging private schools—enroll as many as 38 percent of all stu- dents. In academic secondary school, nongovernment schools—includ- ing Teachers’ Union tutorial classes—enroll 24 percent of all students. In some states, the nongovernment basic education schools are more prevalent. The share of enrollments in nongovernment basic schools is relatively high in four states: Khartoum (13 percent of total basic school enrollments), Red Sea (10 percent), Southern Darfur (10 percent), and Kassala (8 percent). In the remaining states, the nongovernment share is between 0 percent and 4 percent of total enrollments. In Southern Darfur, most nongovernment schools are likely NGO-run schools within camps for internally displaced persons (IDPs). Some schools in northern Sudan may include both public and private sections within the same school. At the secondary education level in par- ticular, the nongovernmental sector—including the Teachers’ Union classes—caters to students who need or wish to repeat the last year of the cycle to improve their results on the Secondary School Certificate exami- nation. In some of the secondary schools visited, private classes were even held within the public school building to respond to this demand.9 This melding of public and private efforts makes it harder to analyze the sec- ondary education level regarding aspects of student flow, student-teacher ratios, per-student cost, internal efficiency, and the like. Whenever data are presented about secondary education in the current report, this issue was addressed and adjustments were made as needed. Based on the FMoGE 2008–09 statistical yearbook, table 2.3 provides data to describe the basic characteristics of nongovernment and government schools: average school enrollments and average student-teacher ratios. Nongovernment schools are smaller than government schools, on average. The first finding from table 2.3 is that for all three levels of gen- eral education, nongovernment schools are significantly smaller than 46 • The Status of the Education Sector in Sudan Table 2.3 School Size and Student-Teacher Ratios in Government and Nongovernment Schools, 2008–09 Nongovernment schools (excluding Government khalwas/Teachers’ Khalwas/Teachers’ Education level schools Union classes) Union classes All schools Preschool, average number (Khalwa) of students per Schools 54 47 56 53 Teachers 35 19 58 32 Basic, average number of students per Schools 309 186 n.a. 299 Teachers 33 32 n.a. 33 Academic secondary, average (Teachers’ Union) number of students per Schools 231 125 n.a. 212 Teachers 16 18 n.a. 17 Technical secondary, average number of students per Schools 160 0 n.a. 160 Teachers 14 0 n.a. 14 Source: Authors’ construction based on data from the FMoGE 2008–09 statistical yearbook. Note: Khalwa is treated as a separate category to be consistent with the FMoGE 2008–09 statistical yearbook. The Teachers’ Union does not have its own schools, but organizes secondary-level classes using teachers and classrooms of the public school system in a second, private shift—hence the n.a. (not applicable) designation. Including Teachers’ Union data with either public or private schools would distort the calculation of students per school and students per teacher in these two categories. government schools. This finding is particularly pronounced at the aca- demic secondary level, where nongovernment schools are almost half the size of government schools. Regarding student-teacher ratios, nongovern- ment preschools have a much lower student-teacher ratio (19:1) than do government preschools (35:1) or khalwas (58:1). At the basic and academic secondary levels, however, there is not a big difference between nongovern- ment and government schools in the statistics. In basic and academic secondary education, enrollments in non- government schools are growing faster than those in government schools, albeit from a much lower base. In basic education, enrollments in nongovernment schools grew by 8 percent per year from 2000–01 to 2008–09; that figure is 3 percentage points more than the rate of growth in government school enrollments over the same period. In academic sec- ondary education, nongovernment school enrollments grew by 7 percent Overall Enrollment Patterns • 47 per year from 2000–01 to 2008–09; that figure is 1 percentage point more than the rate of growth in government school enrollments during that time. Again, this is evidence of a strong demand for children’s educa- tion—a demand that may be growing faster than the government can respond to it. In Khartoum State, which is home to most of the country’s nongovernment schools, the number of nongovernment schools has grown from 140 to more than 750 over a period of eight years. In the three Darfur states again, the surge in nongovernment schools is a result of the involvement of NGOs in providing education to IDPs. Government secondary schools have the lowest student-teacher ratios of the three levels of general education, with 16 students per teacher in aca- demic secondary schools and 14 students per teacher in technical second- ary schools. Government secondary schools in northern Sudan have low student-teacher ratios compared with the average of 27:1 across low-income Sub-Saharan African countries (Mingat, Ledoux, and Rakotomalala 2010). However, they are similar to the average student-teacher ratio of 19:1 across middle-income Sub-Saharan African countries and of 15:1 across Middle Eastern and North African countries. SCHOOLS FOR NOMADIC AND INTERNALLY DISPLACED POPULATIONS In 2008–09, more than 12 percent of all basic education schools in north- ern Sudan were either nomadic, IDP, or village schools. According to the FMoGE statistical yearbooks, government or village schools specifically serve nomadic or displaced populations. Village schools are rural multi- grade schools that usually offer only the first four grades of the basic edu- cation cycle (FMoGE 2008). Table 2.4 provides the number of schools in these three categories and their enrollments during the 2007–08 and 2008–09 academic years. In 2008–09, nomadic schools accounted for 8.7 percent, IDP schools for 1.6 percent, and village schools for 2.1 percent of 12.4 percent compo- nent of all basic education. According to the FMoGE 2008–09 statistical yearbook, these schools accounted for 8 percent of total enrollments in basic education, although this figure may have been underestimated because the FMoGE report (2008) includes a much higher number of village schools. Nomadic schools are small, mobile, and multigrade, and they are fairly spread out across the peripheral states. During the 1990s, there was a push for the education of nomadic communities through the establishment of the mobile school system. According to the FMoGE 48 • The Status of the Education Sector in Sudan Table 2.4 Number of Schools and Enrollments in Government Nomadic, IDP, and Village Schools, 2007–08 and 2008–09 Percentage Schools 2007–08 2008–09 increase Nomadic Number 1,431 1,422 –1 Number of students 220,535 146,826 –33 Average number of students per school 154 103 –33 IDP Number 339 261 –23 Number of students 109,508 212,602 94 Average number of students per school 323 815 152 Village Number 286 338 18 Number of students 22,644 32,757 45 Average number of students per school 79 97 23 Source: Authors’ construction based on data from the FMoGE 2008–09 statistical yearbook. Annex table 2A.1 includes data on the number of nomadic, IDP, and village basic schools in each state. Note: IDP = internally displaced person. 2007–08 and 2008–09 statistical yearbooks, there were more than 1,400 government nomadic schools, and they existed in all states except Al Jazirah and Khartoum. Almost a third of the basic schools in Kassala belonged in this category, compared with 15–20 percent of the basic schools in the three Darfur states and Red Sea. Nomadic school enroll- ments typically are small. With an average enrollment of 103 students in 2008–09, these schools enrolled only about 147,000 children in total, or 3 percent of basic school enrollments across northern Sudan. As may be seen in table 2.4, enrollment in nomadic schools declined in 2008–09. According to the FMoGE report (2008), nomadic schools are divided into mobile, multigrade schools for grades 1–4 and collective schools for grades 5–8.10 A case study of two nomadic tribes that have partially settled in Northern Darfur reported that more than 90 percent of the families in these tribes have one or more family members who are literate; thus, they have had access to some education (Al Fashir University / IOM 2010). However, the study highlighted that although these tribes are no longer practicing “whole-family” movement, one or more family members are still moving with the animals, even if only within the tribal territory. The youth are sometimes involved in this work, which Overall Enrollment Patterns • 49 potentially has negative implications for their schooling. The study also emphasized that the schools in these communities were barely functioning. Unlike nomadic schools, IDP schools are typically large and mainly located in the three Darfur states. According to government statistics, there were 261 government IDP schools in 2008–09.11 With the exception of three IDP schools in Northern State, all are located in the Darfurs— although in the 2007–08 school year, there were also IDP schools in Blue Nile and Kassala. IDP schools have large enrollments. With an average enrollment of 815 students in 2008–09, these schools enrolled as many as 213,000 students, or 4 percent of total basic school enrollments in northern Sudan. Data on the school enrollment of IDP children are incomplete. How- ever, this enrollment is quite small if we consider that there are an esti- mated 2.7 million IDPs in the Darfur states alone and that almost 700,000 of these, or 25.7 percent, are between the ages of 6 and 13.12 Many IDP children could, however, be enrolled in regular schools, so it is not possible on this basis to conclude what share of IDP children have access to basic schooling. Chapter 3 in this report presents the gross enrollment rates for each state, including the three Darfur states, but it has not been possible to further break down these numbers into IDP and non-IDP schools within the states. Finally, village schools are small, multigrade, and rural, and they are located primarily in the Kordofan states. More than 10 percent of schools in North and South Kordofan are multigrade village schools. As with nomadic schools, the average enrollment in village schools is small. With an average of just 97 students per school in 2008–09, these schools accounted for only 3 percent of basic enrollments in North Kordofan and 6 percent in South Kordofan. Village schools offer only the first grades of the basic education cycle, up to grade 4 in North Kordofan and grade 5 in South Kordofan. The number of schools and their enrollments increased between 2007–08 and 2008–09. According to the FMoGE report (2008), there were also vil- lage schools in Al Jazirah, Kassala, Red Sea, and Southern Darfur, but these schools were not captured in government statistics for that period (or reported as regular basic schools). THE GROSS ENROLLMENT RATE By contrasting data on enrollments with data on the population of rele- vant school age, we can calculate the gross enrollment rate (GER) for each 50 • The Status of the Education Sector in Sudan level of education.13 This calculation requires making a choice about which population data to use, and for the latest school year, 2008–09, the 2008 population census is the obvious choice.14 The result is a GER of 37 percent for preschool, 72 percent for basic school, and 34 percent for secondary school. It is important to stress that the GER is mainly an indicator of the capacity of the education system vis-à-vis the popula- tion of school-age children, but it is inadequate for measuring the share of this population who are currently in school. For example, we can inter- pret the GER as showing that basic schools in northern Sudan had enough school places to enroll 72 percent of 6–13-year-olds, but not that 72 percent of 6–13-year-olds were actually in school during the 2008–09 school year. In higher education, there were 1,500 students per 100,000 inhabi- tants in the 2007–08 academic year. Because higher education usually encompasses a series of degree programs of differing lengths, it is difficult to define a reference population for this level, which would be needed to calculate a GER.15 Instead, another indicator is commonly used to meas- ure the coverage of higher education: the number of students attending higher education (enrollments) per 100,000 inhabitants. The value of this indicator was 1,500 students per 100,000 population in the 2007–08 school year. TRENDS IN GERs FOR GENERAL EDUCATION Figure 2.5 shows the trends in GERs between 2000–01 and 2008–09. Because there was no population census in Sudan between 1993 and 2008, it is not obvious what population data to use for calculating the GER for the years prior to 2008. For this report, we chose to project pop- ulation data backward in time (backcasting) from the 2008 population census for the best consistency of the analysis over time. Annex table 1A.1 in chapter 1 lists the population data used for this report. Since 2000–01, the GER has increased by 17 percentage points for pre- school, 15 percentage points for basic school, and 8 percentage points for secondary school. Thus, school enrollments have increased at all three levels compared with the size of the relevant age groups. The gains in the GER for secondary schools, however, are fairly modest, at only about 1 percentage point per year. The strong increase in the GER for preschool education may partly be attributed to improvements in the data on pre- school enrollments, but the increase is also thought to reflect an expan- sion of coverage at this level.16 Overall Enrollment Patterns • 51 Figure 2.5 Trends in Gross Enrollment Rates for General Education in Northern Sudan, 2000–01 to 2008–09 80 70% 72% 70 65% 65% 59% 61% 62% 60 57% 58% 50 percent 40 37% 31% 32% 31% 30% 31% 26% 26% 27% 30 34% 31% 20 25% 25% 23% 23% 23% 20% 20% 10 0 1 2 3 4 5 6 7 8 9 –0 –0 –0 –0 –0 –0 –0 –0 –0 00 01 02 03 04 05 06 07 08 20 20 20 20 20 20 20 20 20 academic year preschool basic secondary (academic and technical) Source: Authors’ construction based on enrollment data in table 2.1 and population data in annex table 1A.1. The number of higher education students per 100,000 inhabitants increased by 5 percent per year in five years. The figures are 1,161 in 2002–03 and 1,500 in 2007–08 and reflect a very considerable gain. INTERNATIONAL COMPARISON OF THE GER The GER-6 is a more standardized indicator for international compar- isons of primary, or basic, coverage. In the previous section, we calcu- lated the basic school GER at 72 percent, which is the GER for the whole eight-year primary cycle. For the purpose of international comparability, however, the GER for the first six years of basic schooling is a more stan- dardized measure. The GER-6 is 76 percent for northern Sudan. Table 2.5 compares this value to the GERs for three groups of com- parator countries. Based on its level of GDP per capita, northern Sudan is classified by the World Bank as a lower-middle-income country for oper- ational purposes; therefore, table 2.5 lists the primary education GERs for a number of lower-middle-income countries in Sub-Saharan Africa as well as the Middle East and North Africa. The table also compares the pri- mary school GER with those of northern Sudan’s immediate neighbors, which are typically low-income countries. 52 • The Status of the Education Sector in Sudan Table 2.5 Primary Education GERs in Northern Sudan and Comparator Countries, 2008 or Latest Available Year percent Lower-middle-income countries Selected neighboring Middle East and countriesa GER Sub-Saharan Africa GER North Africa GER Central African Republic 77 Cameroon 111 Egypt, Arab Rep. 100 Chad 75 Cape Verde 101 Iran, Islamic Rep. 128 Congo, Dem. Rep. 90 Congo, Rep. 114 Jordan 96 Eritrea 57 Côte d’Ivoire 74 Morocco 107 Ethiopia 98 Lesotho 108 Syrian Arab Republic 124 Kenya 112 Nigeria 93 Tunisia 108 Uganda 117 São Tomé and Principe 130 West Bank and Gaza 80 Swaziland 108 Average 89 105 106 northern Sudan (GER-6) 76 southern Sudan (GER-6) 76 All of Sudan (GER-6) 76 Source: World Bank EdStats database, which draws on data from the UNESCO (United Nations Educational, Scientific, and Cultural Organization) Institute of Statistics and other agencies. Note: The GERs shown in this table are all based on primary cycles standardized to 5, 6, or 7 years. GER = gross enrollment rate. a. Egypt is not included here because it is included in the group of lower-middle-income countries. The basic school GER for northern Sudan is considerably lower than those for the chosen comparator countries. Table 2.5 indicates that northern Sudan’s GER-6 of 76 percent exceeds the GER only of Eritrea and is comparable to the GERs for countries such as the Central African Republic, Chad, and Côte d’Ivoire. All other coun- tries in the table have higher primary GERs. The GER-6 in south Sudan is also 76 percent. The secondary school GER for northern Sudan is similar to those for comparator countries. Table 2.6 indicates that northern Sudan’s sec- ondary school GER of 34 percent is comparatively high, although—as we see in chapter 3—this is the result of a large number of repeaters. The GER is higher than those for most of northern Sudan’s neighbors, except Kenya, and is comparable to those for other lower-middle- income countries in Sub-Saharan Africa. Its secondary school GER is also similar to those for countries such as Morocco and the Syrian Arab Republic but lower than the average for countries in the Middle East and North Africa. Overall Enrollment Patterns • 53 Table 2.6 Upper Secondary Education GERs in Northern Sudan and Comparator Countries, 2008 or Latest Available Year percent Lower-middle-income countries Selected neighboring Middle East and countriesa GER Sub-Saharan Africa GER North Africa GER Central African Republic — Cameroon 28 Egypt, Arab Rep. 69 Chad 12 Cape Verde 53 Iran, Islamic Rep. 69 Congo, Dem. Rep. 29 Congo, Rep. 22 Jordan 74 Eritrea 20 Côte d’Ivoire — Morocco 37 Ethiopia 12 Lesotho 23 Syrian Arab Republic 35 Kenya 40 Nigeria 26 Tunisia 72 Uganda 14 São Tomé and Principe 20 West Bank and Gaza 75 Swaziland 37 Average 21 30 62 northern Sudan 34 southern Sudan 4 All of Sudan 28 Source: World Bank EdStats database, which draws on data from the UNESCO Institute of Statistics and other agencies. Note: GER = gross enrollment rate; — = not available. a. Egypt is not included here because it is included in the group of lower-middle-income countries. The higher education gross enrollment in northern Sudan is high from an international comparative perspective. Table 2.7 shows this fig- ure to be 1,500 students per 100,000 inhabitants, which is higher than the same statistics in most of Sudan’s neighboring countries (except Egypt) and also higher than those in the lower-middle-income coun- tries of Sub-Saharan Africa. The higher education gross enrollment in northern Sudan is lower, however, than those figures for almost all of the lower-middle-income countries in the Middle East and North Africa Region (except Morocco). MEASURING EDUCATION COVERAGE MORE PRECISELY Other sources of data are needed for an added perspective and to correct for multicohort effects. Gross enrollment rates (GERs) calculated using the administrative enrollment data from the federal Ministry of General Education (FMoGE) statistical yearbooks have limitations. First, they may be inflated by multicohort effects that are present when children of dif- ferent ages gain access to school at the same time, which is common in 54 • The Status of the Education Sector in Sudan Table 2.7 Higher Education Enrollments in Northern Sudan and Comparator Countries, 2008 or Latest Available Year number of students per 100,000 people Lower-middle-income countries Selected neighboring Middle East and countriesa GER Sub-Saharan Africa GER North Africa GER Central African Republic 218 Cameroon 780 Egypt, Arab Rep. 3,362 Chad 171 Cape Verde 1,335 Iran, Islamic Rep. 4,698 Congo, Dem. Rep. 379 Congo, Rep. — Jordan 4,000 Eritrea 193 Côte d’Ivoire 779 Morocco 1,274 Ethiopia 328 Lesotho 426 Syrian Arab Republic — Kenya 424 Nigeria 984 Tunisia 3,190 Uganda 340 São Tomé and Principe — West Bank and Gaza 4,714 Swaziland 501 Average 293 801 3,540 northern Sudan 1,500 southern Sudan 258 All of Sudan 1,233 Source: World Bank EdStats database, which draws on data from the UNESCO Institute of Statistics and other agencies. Note: GER = gross enrollment rate; — = not available. a. Egypt is not included here because it is included in the group of lower-middle-income countries. rapidly expanding school systems. This situation can occur when new schools are opened in places where there were none before or when school fees are eliminated.17 It is reasonable to believe that there is some multicohort effect in Sudan, a postconflict country with a rapidly growing number of schools.18 Second, if the administrative data are not complete or if the population data used in the denominator have a large margin of error, then the GER will also be inaccurate. To improve the measurement of access and retention, it is helpful to compare administrative enroll- ment data with other sources of data. An alternative is provided by house- hold surveys that include questions on the schooling status of all chil- dren, both those currently in school and those out of school. Enrollment indicators based on statistical yearbook data may be underestimated. Household survey data can also be used to calculate a measure of the gross enrollment rate for basic school. Figure 2.6 com- pares GERs based on different data sources and finds that in recent years, household surveys have generally produced higher estimates of basic school coverage than have data from FMoGE statistical yearbooks and the population census. This finding underlines the need to improve data on Overall Enrollment Patterns • 55 Figure 2.6 Comparing the Gross Enrollment Rate Calculated from Different Sources, 2005–06 to 2008–09 100 86% % of population ages 6–13 80 70% 72% 60 65% 65% 40 20 0 6 7 8 9 –0 –0 –0 –0 05 06 07 08 20 20 20 20 academic year 2006 SHHS FMoGE statistical yearbooks Source: Analysis of the 2006 Sudan Household Health Survey (GoNU and GoSS 2006); FMoGE statistical yearbook for the years indicated. school enrollments, a process that is under way with the implementation of a comprehensive Education Management Information System. SUMMARY • Overall, student enrollments have grown rapidly from 2000 to 2009 at all four levels of the formal education system preschool, basic, sec- ondary, and higher education. This growth demonstrates both a sig- nificant government commitment to the development of the sector and a significant demand for education among its citizens. • The private provision of education is fairly large at some levels, partic- ularly in preschool and academic secondary education. In basic edu- cation, where private provision is still rare, it is generally growing faster than public provision. • In the peripheral states of northern Sudan, basic school enrollments accelerated rapidly after the peace agreements of 2005 and 2006. In the central states, growth in basic school enrollments is leveling off because these states are edging closer to universal primary education. • As a result of these positive trends, the coverage of basic education has increased significantly, although the eight-year basic school GER—at 72 percent in 2008–09—was still low from an international comparative perspective. This situation may partly be explained by data issues, how- ever. Household surveys suggest that the conventional GER based on 56 • The Status of the Education Sector in Sudan relating enrollment data to population figures may be underestimated. More work is therefore needed to improve the reliability of education sector statistics and their comparability to population data. In states that have experienced large changes in population size, new household surveys may need to be analyzed to appropriately determine actual levels of school participation. • From a comparative perspective, participation in secondary education is close to the average of similar countries. However, enrollments in higher education are high in northern Sudan compared with those in African countries, although they are comparable with Middle East and North African (MENA) countries. ANNEX: NUMBER OF BASIC SCHOOLS Table 2A.1 Number of Basic Schools by State and Type of School, 2008–09 Government schools Government Private and private State Regular Villagea IDP Nomadic Total schools schools Northern 445 0 3 16 464 3 467 River Nile 689 0 0 65 754 14 768 Khartoum 1,583 0 0 0 1,583 753 2,336 Al Jazirah 1,891 0 0 0 1,891 31 1,922 Blue Nile 381 0 0 39 420 2 422 Sinar 627 0 0 50 677 14 691 White Nile 874 0 0 49 923 57 980 North Kordofan 1,524 213 0 126 1,863 64 1,927 South Kordofan 844 125 0 108 1,077 23 1,100 Northern Darfur 837 0 65 164 1,066 36 1,102 Southern Darfur 997 0 135 252 1,384 207 1,591 Western Darfur 877 0 58 213 1,148 21 1,169 Red Sea 348 0 0 69 417 42 459 Kassala 422 0 0 208 630 47 677 Al Qadarif 595 0 0 63 658 21 679 Percentage of all schools 79 2 2 9 92 8 100 Total 12,934 338 261 1,422 14,955 1,335 16,290 Source: FMoGE 2008–09 statistical yearbooks. Note: IDP = internally displaced person. a. Village school is a school for grades 1–4 with a multigrade teacher. Overall Enrollment Patterns • 57 NOTES 1. This chapter includes only aggregate data on higher education enrollments because a World Bank–sponsored study on higher education was being developed at the same time as this report. 2. Khalwas are traditional Islamic schools that teach the Quran. They enroll children of all ages, but the FMoGE 2008–09 statistical yearbook reports enroll- ments only in the preschool section of khalwas. 3. There are other public schools and institutes that are not part of this hier- archy: religious institutes, vocational institutes, national industries institutes, and vocational training centers, which are all under the Ministry of Public Service and Administrative Reform. The current study does not include information on these schools. 4. Their website, www.mohe.gov.sd, includes data on university enrollments, personnel, number of graduates, and so on. 5. However, the year-on-year fluctuations in technical secondary enrollments are so large as to suggest that these enrollment data may not be comparable over time, possibly because of the incompleteness of the data or a redefinition of what constitutes technical secondary versus academic secondary education. 6. The student-teacher ratios (STRs) in table 2.2 include teachers not on the government payroll—for example, volunteer teachers financed by communities. If these teachers are excluded, the average STRs remain virtually the same for all subsectors except preschool, where volunteer teachers account for a large share of teachers in certain states. See annex table 7A.3 for preschool STRs that exclude teachers not on the government payroll by state. 7. As discussed in chapter 6, because of subject specialization of teachers from grade 3 onward, student-teacher ratios do not translate directly to class sizes. 8. These ratios were calculated based on data from the World Bank EdStats database. 9. The observation is based on a field visit to Red Sea State in February 2010. 10. The collective schools for older children are possibly recorded in govern- ment statistics as regular basic schools. 11. This figure does not include the nongovernment IDP schools. The FMoGE 2008–09 statistical yearbook reports more than 250 nongovernment schools in the Darfurs. It is likely that many of these schools are also IDP schools. 12. This observation is made according to the population structure for the three Darfur states, as reported by the 2008 population census. 13. The gross enrollment rate is calculated as total enrollments in the level of education divided by the population of relevant age for that level. The relevant age groups are 4–5 for preschool, 6–13 for basic school, and 14–16 for secondary school. 14. See annex table 1A.1 in chapter 1 for the population data used in this report. 15. If we insist on calculating a GER for higher education, we may use the 17–20-year-olds as the reference population, and assuming that the average dura- tion is about four years, this results in a GER of 18 percent for 2007–08. 16. Since 2008, the FMoGE statistical yearbooks also report the enrollment in religious preschools, khalwas, in addition to government and nongovernment kindergarten. 58 • The Status of the Education Sector in Sudan 17. See, for example, Avenstrup, Liang, and Nellemann (2004) for a descrip- tion of the surges in enrollments in Kenya, Lesotho, Malawi, and Uganda, when school fees were eliminated. 18. The number of basic schools increased by 24 percent from 2004–05 to 2008–09 (see table 2.2). REFERENCES Al Fashir University/IOM (International Organization for Migration). 2010. “Nomadic Population Baseline Survey. Case of Kuma and Malha Localities, North Darfur, Sudan. Analysis, Results and Recommendations.” Al Fashir Uni- versity, Faculty of Environmental Sciences and Natural Resources, in collabo- ration with the IOM. Avenstrup, R., X. Liang, and S. Nellemann. 2004. “Kenya, Lesotho, Malawi, and Uganda: Universal Primary Education and Poverty Reduction.” Scaling Up Poverty Reduction: A Global Learning Process and Conference. Shanghai: World Bank. Bruns, Barbara, Alain Mingat, and Ramahatra Rakotomalala. 2003. Achieving Uni- versal Primary Education by 2015: A Chance for Every Child. Washington, DC: World Bank. FMoGE (Federal Ministry of General Education). 2008. “Baseline Survey on Basic Education in the Northern States of Sudan: Final Report June 2008.” Khar- toum. Online document available at http://planipolis.iiep.unesco.org/epiweb/ E029336e.pdf GoNU (Government of National Unity) and GoSS (Government of Southern Sudan). 2006. Sudan Household Health Survey (SHHS) 2006. Khartoum/Juba: Central Bureau of Statistics and Southern Sudan Center for Census, Statistics and Evaluation. Mingat, A., B. Ledoux, and R. Rakotomalala. 2010. Developing Post-Primary Educa- tion in Sub-Saharan Africa: Assessing the Financial Sustainability of Alternative Pathways. Africa Human Development Series. Washington, DC: World Bank. CHAPTER 3 Patterns of Student Flow his chapter presents a more detailed analysis of student enrollment T patterns than does chapter 2 by focusing on student flow through the four levels of the education system. However, the analysis gives most attention to basic and secondary schooling, as these are the levels for which data on student flow are most readily available.1 The chapter opens with a presentation and discussion of the schooling profile by grade and the education pyramid. It then provides an assess- ment of the distance from attaining the goal of universal primary com- pletion, which is a Millennium Development Goal, and of the pace of progress toward this goal in recent years. The chapter also looks at the schooling status of individuals of different ages to offer a better under- standing of issues such as under- and overage enrollment, dropout, and out-of-school children. SCHOOLING PROFILE AND DISTANCE FROM UNIVERSAL PRIMARY COMPLETION THE SCHOOLING PROFILE AND EDUCATION PYRAMID Figure 3.1 shows the schooling profile for northern Sudan from grade 1 of basic school to the last grade of secondary school, which is based on student enrollment data from the federal Ministry of General Education (FMoGE). The profile illustrates the progression of students through the grades and the transition between basic and secondary education (in the following discussion, secondary refers to both the academic and the tech- nical tracks). Unlike the gross enrollment rate, the profile is calculated based on the number of nonrepeaters in each grade and is therefore not inflated by repetition. 59 60 • The Status of the Education Sector in Sudan Figure 3.1 Schooling Profile for the Primary and Secondary Levels, 2008–09 100 population of relevant age nonrepeaters as a % of 80 80% 78% 76% 60 72% 67% 61% 58% 40 54% 34% 20 29% 25% 0 G1 G2 G3 G4 G5 G6 G7 G8 S1 S2 S3 basic school secondary school Source: Authors’ calculations using data on the enrollment of nonrepeaters from the FMoGE 2008–09 statistical yearbook and smoothed population data from the 2008 census; see also annex table 3A.1. For secondary school, the share of nonrepeaters in total enrollments was estimated by the authors. Note: The figure is based on the enrollment patterns in a single year (cross-sectional method) and therefore does not depict the progression of a single generation through the grades (longitudinal). The schooling profile shows that it is common for students to drop out of both basic school and secondary school. It illustrates a fairly high intake rate of new students to grade 1 of basic school but also a much lower completion rate for that level of education, indicating a high dropout rate as well. The schooling profile also reveals considerable dropout from secondary school. The first data point of the schooling pro- file is the gross intake rate (GIR) to basic education, which is 80 percent (although 80 percent is very likely underestimated, as discussed in chap- ter 2).2 The figure also shows the primary completion rate (PCR) (54 per- cent), the GIR to the secondary level (34 percent), and the completion rate of the secondary level (25 percent).3 The educational pyramid in figure 3.2 illustrates the high rates of transition between basic and secondary education and between sec- ondary and higher education. It displays the coverage at the beginning and end of each level of education from preschool to higher educa- tion.4 The rate of transition between basic and secondary education is 74 percent, and the rate between secondary and higher education is estimated at 87 percent (both rates were calculated by comparing two years of enrollments). Taken together, figures 3.1 and 3.2 indicate that most dropout from the education system happens within levels rather than between levels. With such high transition rates, the current expan- sion in basic school enrollments is likely to result in considerable pres- sure on secondary education to accommodate a rapidly increasing Patterns of Student Flow • 61 Figure 3.2 Educational Pyramid for Northern Sudan, 2008–09 22 20 higher transition rate 87% 18 theoretical age (years) 16 secondary transition rate 74% 14 12 10 basic 8 6 preschool 4 2 0 0 20 40 60 80 100 % of relevant age group Source: Authors’ construction using enrollment data from the FMoGE 2008–09 statistical yearbook and population data from the 2008 census. Note: The pyramid is based on the enrollment patterns in a single year. The transition rates, however, are based on comparing enrollments in two different years. number of basic school graduates seeking to continue their studies. Whether the system is able to respond to this increased pressure will determine whether the transition rates remain at these high levels in the years ahead. INTAKE, COMPLETION, AND DISTANCE TO UNIVERSAL PRIMARY COMPLETION Only about 54 percent of children attain the last grade of basic education. Table 3.1 summarizes the intake and completion rates for basic and sec- ondary education. A measure of access to grade 1, the basic education GIR is 80 percent. The PCR, 54 percent, measures the access to grade 8 of basic school (not actual graduation or completion of the grade 8 year, simply enrollment in the grade). Similarly for secondary education, the GIR to the secondary level is 34 percent, and the completion rate is 25 percent. The PCR is an important indicator of the share of children completing primary, or basic, education. The globally agreed-upon Millennium Development Goals call for a full course of schooling for all children. In most countries, this goal is interpreted as six years of primary schooling. Table 3.1 also shows the completion rate for the first six years of basic school in northern Sudan, which is 61 percent or 7 percentage points higher than the PCR, but still far from 100 percent. For a country to achieve a PCR of 100 percent, 62 • The Status of the Education Sector in Sudan Table 3.1 Gross Intake Rate and Primary Completion Rate, 2008–09 percent Completion Gross intake rate for Primary Completion Education level rate six years completion rate rate Basic 80 61 54 Secondary 34 25 Source: Authors’ construction using enrollment data from the FMoGE 2008–09 statistical yearbook and population data from the 2008 census. all children must enter grade 1 and all children must remain in school until the end of grade 8. Household survey data can provide an added perspective and correct for multicohort effects. The GIR calculated in table 3.1 is a commonly used measure of access to schooling but is often inflated by multicohort effects (which were briefly discussed in chapter 2). Because the number of basic schools across northern Sudan has increased by about 25 percent in the past four years, it is likely that several age cohorts of children are now entering first grade at the same time and creating a bulge in new enroll- ments. For example, if a school is opened in a village that did not have a school earlier, children of many ages may enroll in grade 1 in the same year; the number of new enrollees may even exceed the population of 6-year-olds, even if some children remain unenrolled (this situation would give a GIR above 100 percent although access is less than com- plete). To improve our measurement of the actual rate of access to school- ing, we therefore turn to household survey data, which can give a more accurate estimate of access to schooling within each age cohort. In 2005–06, about 15 percent of children were excluded from formal schooling. Figure 3.3 shows the share of children and youth, by age, who reported ever having attended school in the latest available household survey, the Sudan Household Health Survey (SHHS) 2006. The probabil- ity of ever having been in school (access) reached its maximum about ages 11–13, at which age 85 percent of children were or had been enrolled in school. Thus, the probabilistic (cohort) rate of access was 85 percent in 2005–06. This, in turn, means that 15 percent of children had never had any access to formal schooling at the time. In 2010, an estimated 10 percent of children did not have access to for- mal school. Table 3.2 shows that the probability of having been in school has been increasing over time, because it differs for different age groups in the table: from about 75 percent of the 25–30-year-olds and 80 per- cent of the 20–25-year-olds to about 83 percent of the 15–20-year-olds Patterns of Student Flow • 63 Figure 3.3 Access to Grade 1: Share of Population between Ages 5 and 29 Who Had Ever Accessed Basic School, 2005–06 100 80 60 percent 40 20 0 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 age (years) Source: Authors’ analysis of the 2006 Sudan Household Health Survey (GoNU and GoSS 2006). Table 3.2 Basic School Intake and Completion Rates Based on Two Data Sources, 2005–06 percent Household survey dataa Administrative datab Cohort access Cohort attainment of Gross Primary to grade 1c grade 8d intake rate completion rate 85 46 79 47 Source: Cohort measures are based on the authors’ analysis of the 2006 Sudan Household Health Survey (GoNU and GoSS 2006). The gross intake rate and primary completion rate were calculated based on enrollment data from the FMoGE statistical yearbook for the year indicated and population data shown in annex table 1A.1 in chapter 1. a. Data are cohort measures for 2005–06. b. Data are cross-sectional measures for the 2005–06 school year. c. Share of respondents ages 11–13 who report having ever attended basic education. d. This figure is based on the responses of children ages 15–19. and 85 percent of the 10–15-year-olds. This finding means that the cohort access rate has been improving at a rate of between 0.5 and 1 percentage point per year over the past 20 years. It is therefore reasonable to expect a value of about 90 percent for a 10-year-old in 2010, which would mean that 10 percent of children did not receive formal schooling at that time. The GIR is underestimated in northern Sudan. Table 3.2 compares the cohort measure of access to grade 1 and attainment of grade 8 based on household survey data with the corresponding measures calculated from yearbook enrollment data for the same year. The two measures of com- pletion of the basic education level are almost identical, at 46 percent and 47 percent, respectively. Surprisingly, the GIR, which was only 79 percent in 2005–06, is actually lower than the cohort measure of access, 85 per- cent (in most countries, the GIR is much higher than the cohort access rate because of multicohort effects). This finding means that the actual 64 • The Status of the Education Sector in Sudan rate of access to grade 1 is indeed underestimated in northern Sudan. Var- ious reasons may account for this result: incompleteness of the enroll- ment data published in the FMoGE yearbooks or an overestimation of the school-age population in the population census data. LATE ENROLLMENT AND OUT-OF-SCHOOL CHILDREN Most grade 1 students are between 6 and 8 years old, but children also begin school when they are much older. Figure 3.4 shows the ages of children attending grade 1 based on the 2005–06 household survey data. According to the household survey, many children are either younger or older than the official age for attending grade 1, which is 6–7 years (6 years on entry and turning 7 during the school year). More Figure 3.4 Ages of Girls and Boys Attending Grade 1, 2005–06 a. Girls 30 25 20 percent 15 10 5 0 5 6 7 8 9 10 11 12 13 14 15 16 17 age (years) b. Boys 30 25 20 percent 15 10 5 0 5 6 7 8 9 10 11 12 13 14 15 16 17 age (years) Source: Analysis of the 2006 Sudan Household Health Survey (GoNU and GoSS 2006). Patterns of Student Flow • 65 than 10 percent were only 5 years old, whereas more than 40 percent were 8 years or older. Girls tend to be a little younger than boys when attend- ing grade 1, but the difference is not very large. Once they are 15, girls no longer enroll in first grade, whereas some boys enroll even at 16 and 17. This pattern may start to change, however, once the expansion of access to schooling is complete. Based on experience from other countries, once all children have access to a school in their village or neighborhood, they tend to enroll closer to the correct age. With so many children entering school late, the age-based net intake rate and net enrollment rate are not good measures of access and cover- age in Sudan.5,6 The net intake rate, which is calculated as the number of new entrants in grade 1 who are age 6 divided by the age 6 population, would clearly underestimate the extent of access to schooling in Sudan. In the 8–15 age group, an estimated 30 percent of girls and 22 percent of boys were out of school in 2005–06. Figure 3.5 presents the schooling status, by age and gender, of all individuals between the ages of 5 and 24 years at a given time (2005–06, when the SHHS was conducted). In particular, it shows the proportion of each age group that is enrolled in education (any level) and, inversely, the proportion of each age group that is out of school. There are clearly many more girls than boys not in school. For both girls and boys, school participation peaks at age 11, at 78 percent for girls and 84 percent for boys. This finding, however, means that 22 percent of 11-year-old girls and 16 percent of 11-year-olds boys are not in school (any level). For other ages, this proportion is higher. On the whole, 30 percent of girls and 22 percent of boys would be considered out of school.7 The chart also distinguishes between two groups of out-of- school children: (a) those who have never attended school and (b) those who have attended school in the past. This distinction is important because these two groups may need different types of support to enroll and remain in school. The pattern of late enrollment is prevalent throughout the education system, particularly for boys. Figure 3.6 focuses on the children and youth who are enrolled and dis- tinguishes between the levels of education in which they are enrolled. As discussed earlier, it is clear that many children access basic school at a rel- atively late age. This is also the case for secondary school. Interestingly, secondary school enrollment peaks at age 17 for girls (32 percent of the age group) and age 19 for boys (30 percent of the age group), and girls tend to be a little younger than boys in higher education. Thus, the age gap between girls and boys that starts in basic school persists through secondary and into higher education. 66 • The Status of the Education Sector in Sudan Figure 3.5 Enrollment Status of Girls and Boys by Age, 2005–06 a. Girls 100 90 80 70 60 percent 50 40 30 20 10 0 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 age (years) b. Boys 100 90 80 70 60 percent 50 40 30 20 10 0 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 age (years) not currently enrolled and never attended school not currently enrolled but have attended school enrolled (any level) Source: Authors’ analysis of the 2006 Sudan Household Health Survey (GoNU and GoSS 2006). SCHOOL LIFE EXPECTANCY This section summarizes school participation patterns by looking at school life expectancy (SLE), a systemwide indicator of educational cov- erage that includes all of basic, secondary, and higher education. A north- ern Sudanese child can expect to receive an average of 7.0 years of school- ing. The SLE, or average schooling duration, is the total number of years of schooling that a child can expect to receive given the current enrollment Patterns of Student Flow • 67 Figure 3.6 Schooling Status and Level of Education of Girls and Boys by Age, 2005–06 a. Girls 100 90 80 70 60 percent 50 40 30 20 10 0 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 age (years) b. Boys 100 90 80 70 60 percent 50 40 30 20 10 0 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 age (years) not currently enrolled enrolled in nonformal enrolled in higher enrolled in secondary enrolled in basic enrolled in preschool Source: Authors’ analysis of the 2006 Sudan Household Health Survey (GoNU and GoSS 2006). Note: For this figure, nonformal combines all other types of education not captured in the other categories. rates across the system of education. In 2008–09, a child in northern Sudan (15 states) could expect to receive an average of 7.0 years of school- ing (see figure 3.7). This number is considerably higher than that recorded by the UNESCO (United Nations Educational, Scientific, and Cultural Organization) Institute for Statistics for the year 2000, which was 4.4 years for all of Sudan (25 states), and is evidence of strong expansion in educa- tional coverage in recent years. 68 • The Status of the Education Sector in Sudan Figure 3.7 School Life Expectancy in Sudan and Comparator Countries, Latest Available Year 18 17 16 15 14 14 13 13 13 12 11 11 10 10 10 10 10 9 9 years 8 8 8 7 7 6 6 6 5 4 4 2 0 en ti ra ab co Sa Jo ria i A an Tu non ya Co ican C rea o, ep d o, ia Ug oon da n) 0 08 m ya Al tes Le abia m lic ia Ca Ken . ira . Co Ethi p. ite pt, o p. p Em p ng R ha er 00 m ou ng op nis Re b Re e Un Egy M , Re d A Ar roc Lib De ub ud rd an 20 ge it .R th 2 ba er Ye Djib r Er or ll) (n (a n n da da fr Su Su lA ra nt Ce country Source: Authors’ calculations for northern Sudan; UNESCO Institute for Statistics database (various years) for all other countries. Note: Latest year available is as of 2011. Figure 3.7 also compares the Sudan’s SLE with that of a number of countries in Sub-Saharan Africa and the Middle East and North Africa. It is evident that despite recent progress, northern Sudan’s SLE is still low from an international perspective. For example, the indicator is about 10 years in several neighboring or comparator countries (Arab Republic of Egypt, Kenya, Morocco, and Uganda). The gap with comparator countries, however, may partly be explained by the fact that some of the enrollment indicators—and therefore also the SLE—for northern Sudan appear to be somewhat underestimated, as discussed earlier. OTHER ASPECTS OF STUDENT FLOW EFFICIENCY AND PROJECTIONS REPETITION Repetition in basic schools was fairly low in 2008–09. Three sources of information on repetition in basic schools are compared in Table 3.3. The FMoGE’s administrative data (statistical yearbooks) suggest that the share of repeaters is between 4 percent and 7 percent—a fairly low level Patterns of Student Flow • 69 Table 3.3 Share of Repeaters in Basic Schools from Different Sources, 2005–06 to 2008–09 percent Source Year G1 G2 G3 G4 G5 G6 G7 G8 Total FMoGE statistical yearbooks 2008–09 5.1 4.4 5.0 4.9 4.3 4.7 4.2 3.2 4.6 2007–08 5.3 5.1 6.1 6.0 5.9 7.1 5.8 4.5 5.7 2006–07 6.6 6.7 6.7 7.3 7.2 7.7 7.1 5.3 6.8 2005–06 6.3 6.4 7.2 7.3 7.5 8.3 7.3 5.3 6.9 FMoGE baseline survey 2007–08 8.0 6.9 7.0 7.1 6.8 6.7 6.2 5.3 6.9 2006–07 6.9 7.7 7.7 8.1 7.7 7.2 6.8 5.5 7.3 SHHS 2006 2005–06 7.1 4.7 3.3 3.1 4.7 3.9 2.9 4.8 4.4 Sources: Excel tables prepared as part of the FMoGE baseline survey on basic education (FMoGE 2008); authors’ analysis of the 2006 Sudan Household Health Survey (GoNU and GoSS 2006). but not negligible. No major difference is observed across grade levels. The low level of repetition is confirmed by the two other sources pro- vided in the table: (a) the 2008 baseline survey on basic education (FMoGE 2008), in which the share of repeaters was about 7 percent, and (b) the 2006 Sudan Health Household Survey (GoNU and GoSS 2006), in which about 4 percent of those enrolled reported being repeaters. The yearbook data indicate that the level of repetition has been declining since 2005–06. Repetition is very high in secondary education, particularly in the final year. The FMoGE yearbooks provide information on secondary school enrollments by grade, but do not include the proportion of repeaters. The structure of enrollments by grade, however, is such that it is apparent that many students repeat the final grade of the cycle. It is also apparent that the repeat year is often taken in a nongovernment school, including Teachers’ Union classes. Table 3.4 estimates the breakdown of academic secondary school enrollments by repeaters and nonrepeaters. A third of students in the final year of academic secondary school are repeaters. Table 3.4. shows that only a few percent of students in S1 and S2 are repeaters but that as many as 36 percent in S3 are likely to be repeaters. The total level of repetition is 15 percent across the three-year cycle. It is also estimated that 40 percent of all repeaters attend Teachers’ Union classes. The remaining 60 percent are most likely to be repeating in a nongovernment school other than the Teachers’ Union. As a result, more than half of students in nongovernment secondary schools are in fact repeaters who came from government schools. 70 • The Status of the Education Sector in Sudan Table 3.4 Estimation of Repetition in Government and Nongovernment Academic Secondary Schools, 2008–09 Total share of Share of all repeaters in repeaters who secondary attend Teachers’ Government Nongovernment enrollments Union classes Grade Nonrepeaters Repeaters Nonrepeaters Repeaters (percent) (percent) S1 214,709 4,382 24,062 491 2 n.a. S2 175,799 3,588 23,581 3,718 4 n.a. S3 140,798 1,422 23,109 91,995 36 n.a. Total 531,306 9,392 70,752 96,204 15 40 Source: Authors’ construction based on data from the FMoGE 2008–09 statistical yearbook and the database of secondary schools from Khartoum State that includes information on enrollments and repeaters. Note: n.a. = not applicable. Repetition in technical secondary schools appears to be low. These schools have a very different pattern of student flow. This pattern does not indicate the presence of a high rate of repetition but rather a high number of dropouts, because S3 enrollments are less than half of S1 enrollments. From a comparative perspective, northern Sudan has a low level of repetition in basic schools but a high level of repetition in secondary schools. When compared to selected countries in Sub-Saharan Africa and the Middle East and North Africa (figure 3.8), the level of repetition in basic schools in northern Sudan is similar to the levels in countries such as Egypt, Mauritius, Botswana, and the Republic of Yemen but signifi- cantly lower than the levels found in Djibouti, Morocco, Swaziland, and Namibia. For secondary education, however, northern Sudan is among the countries in the selected group with the highest rate of repetition. In basic education, we are concerned with repetition because it is a costly practice that does not usually provide substantial benefits. Chil- dren who repeat grades are at risk of dropping out of school entirely, and if they stay in school, generally do not benefit much from the additional year of schooling. To lower repetition rates, some Sub- Saharan African countries have been successful in putting into practice automatic promotion between grades. In secondary school, if repeti- tion occurs in the final year to improve the result on the final exam, as is the case in northern Sudan, and the cost of repeating is borne by the parents, then the issues are different. There may be governance issues if public school teachers earn an additional salary from teach- ing private shifts of repeaters and are then more frequently absent, tired, or unprepared during their regular shifts. Also, this system may not be satisfactory to students; and there could be equity issues if not all students who need it can pay for the extra year. Patterns of Student Flow • 71 Figure 3.8 International Comparison of the Share of Repeaters in Primary and Secondary Schools, Latest Available Year a. Primary 25 20 18%18% percent 15 12% 11% 10 8% 8% 7% 6% 4% 5% 5% 5 2% 3% 1% 0 yp m n Dj ria M outi co So tsw s ia da 005 08 hA a am d Ye b R s az a en . Al p. m ep Bo ritiu ra te Eg ab E orda ut an n Sw fric b e oc 20 ge ila t, A ira i ,R n n2 ib or au n r J N er da M rth Su Su no n dA e r rth ite Un no country b. Secondary 25 20 16% 15% 14% percent 15 13% 12% 10 7% 8% 9% 5% 6% 6% 5 1% 1% 0 en . Al ep. yp m n Ye b R s Dj ria M uti co So tsw s hA a az a am d ia da 005 08 m ep ra te Bo ritiu ut an Sw fric Eg ab E rda n b oc 20 ila ge ibo ,R t, A ira i n n2 r Jo or au n N er da M rth Su Su no n dA e r rth ite Un no country Source: UNESCO Institute for Statistics database for all countries other than Sudan. Note: Latest year available is as of 2011. RETENTION Retention to grade 8 of basic education was only about 57 percent in 2008–09. Table 3.5 shows the evolution in the gross intake and pri- mary completion rates from 2000–01 to 2008–09 in basic education, and calculates a simple measure of retention by dividing the PCR by the GIR each year (transversal method). The transversal retention rate oscillated between a high of about 70 percent and a low of 53 percent in 2007–08. These large fluctuations are, in part, evidence of weak- nesses in the educational statistics. 72 Table 3.5 Retention and Other Indicators for Basic and Secondary Education, 2000–01 to 2008–09 Education level 2000–01 2001–02 2002–03 2003–04 2004–05 2005–06 2006–07 2007–08 2008–09 Basic GIR 66 68 — 66 67 79 80 88 80 PCR 49 46 — 46 49 47 44 46 54 Retention (transversal) 73 68 — 69 73 59 54 53 68 Retention (longitudinal) 57 Secondary GIR 29 30 31 34 CR 21 21 22 25 Retention (transversal) 72 71 72 72 Retention (longitudinal) 74 Source: FMoGE statistical yearbooks for the years indicated and authors’ calculations. Note: The transversal retention rate is based on a single year and calculated as PCR/GIR. The longitudinal retention rate is calculated by dividing nonrepeaters in grade 8 in 2007–08 by nonrepeaters in grade 1 in 2000–01. CR = completion rate; GIR = gross intake rate; PCR = primary completion rate; — = not available. Patterns of Student Flow • 73 Table 3.5 also provides a longitudinal retention rate by following the cohort that enrolled in grade 1 in 2000–01 until they reached grade 8 in 2007–08. This retention rate is 57 percent, so it is within the range indi- cated by the transversal retention rate. A retention rate of 57 percent indi- cates that only 57 of every 100 students who enroll in grade 1 are still in school by grade 8. This means that the probability of dropping out before grade 8 is about 43 percent, indicating a dropout rate of 6 percent per grade for grades 1–7. Student dropout is therefore a serious concern in basic education. Students are at risk of dropping out of school when parents and students do not perceive that additional schooling is worth the invest- ment of time and money—when the costs of schooling exceed the expected benefits. A high rate of dropout could indicate that students are not learning enough, that is, that the quality of schooling is sim- ply too low to justify students’ time and the direct cost in terms of parental contributions. Other factors can also put children at risk of dropping out of schools. For example, when schools do not offer all the grades of the basic cycle and children have to change schools to reach the higher grades, thereby likely increasing their travel time to school, there is an increased risk of dropout. More research is needed to understand the main causes and risk factors for dropout in north- ern Sudan so that appropriate measures to improve retention can be put into place. Retention is lower in secondary than in basic education when adjusted for the length of the cycles. Similarly, Table 3.5 presents the transversal retention rate for secondary education, 72 percent, and the longitudinal retention rate, 74 percent. A retention rate of 74 percent means that 26 percent of those who enrolled in the first year have dropped out before reaching the final year, corresponding to a dropout rate of 13 percent per year in the first two years of the secondary cycle. Thus, retention appears to be very low in secondary education, and dropout is a very serious issue. It should be noted, however, that these results assume that the enrollment data in the yearbooks are correct, but the analysis indicates even more weaknesses in the secondary school enrollment data than in the basic school data.8 INTERNAL EFFICIENCY COEFFICIENT Table 3.6 calculates an index of the internal efficiency in basic and secondary education. As a function of the pattern of repetition and dropout, the index measures the efficiency of the system in terms of 74 • The Status of the Education Sector in Sudan Table 3.6 Internal Efficiency Coefficients in Basic and Secondary Education, 2005–06 to 2008–09 Education level 2005–06 2006–07 2007–08 2008–09 Basic IEC (percent) 72 68 67 76 Student years to produce one completer 11.2 11.7 12.0 10.5 Secondary IEC (percent) 76 74 74 71 Student years to produce one completer 3.9 4.1 4.1 4.2 Source: Authors’ calculations based on information about repetition and retention by grade from the FMoGE statistical yearbooks for the years indicated. Note: IEC = internal efficiency coefficient. producing completers using as few inputs, or student years, as possible. This efficiency is calculated by comparing the number of student years it actually takes to produce one completer as a result of dropout and repetition patterns to the number of student years needed if there were no dropout or repetition (eight years for basic and three for second- ary). An education system with no dropout and no repetition would have a coefficient of 100 percent. It took 10.5 student years to produce a basic school completer and 4.2 student years to produce a secondary school completer in 2008–09. In basic education, the internal efficiency coefficient (IEC) was 76 percent in 2008–09; and, on average, it took 10.5 student years, instead of 8, to produce one completer. An IEC of 76 percent implies that 23 percent of the inputs, or student years, are used on stu- dents who do not complete the cycle. In secondary education, the IEC was 71 percent in 2008–09; and, on average, it took 4.2 student years, instead of 3, to produce a completer. Compared with many Sub-Saharan African countries, the internal efficiency in basic education in northern Sudan is higher. Table 3.7 compares the IEC for basic education with that statistic for selected countries in Sub-Saharan Africa and finds that northern Sudan is per- forming quite well, although not as well as Kenya and Tanzania. This mostly positive result stems from the comparatively low rate of repeti- tion in northern Sudan. Still, there is room for improvement in both dropout and repetition rates. Patterns of Student Flow • 75 Table 3.7 International Comparison of Internal Efficiency Coefficients in Basic Education Country Year IEC Tanzania 2006 0.85 Kenya 2005 0.83 Sudan (northern) 2008 0.76 Eritrea 2006 0.74 Ethiopia 2006 0.71 Uganda 2005 0.61 Central African Republic 2006 0.40 Chad 2005 0.35 Malawi 2006 0.35 Source: UNESCO Pôle de Dakar database for the years indicated. Note: IEC = internal efficiency coefficient. PROJECTION OF ACCESS AND COMPLETION RATES FOR BASIC EDUCATION The GIR has grown fast since 2004–05, but the PCR has improved more slowly. Table 3.8 presents the average rates of increase in the GIR and PCR for basic education from 2000–01 to 2008–09. The GIR has grown at 1.7 percentage points per year, and the PCR, at 0.7 percentage point per year. Focusing on 2004–05 to 2008–09, although both indicators increased their pace of growth, the GIR has still been growing much faster (3.2 per- centage points per year) than the PCR (1.3 percentage points per year). This pattern will most likely change in coming years. As northern Sudan gets closer to universal access to basic education, the growth in the GIR will slow down. Further growth in this indicator is not possible once all children are in school. However, as the many new students move through the grades of basic school and begin to reach the last grades, growth in the PCR is likely to pick up. Figure 3.9 illustrates what might happen in the coming years, based on a continuation of the recent improvement trend. The figure uses the data in table 3.8 and depicts the evolution in the GIR and PCR over time. It shows a third indicator, the cohort access rate, which is our best estimate from table 3.8 of the actual extent of access to basic school It is constructed by moving the GIR upward to reach a value of 85 percent in 2005–06. In an optimistic scenario, 80 percent of children could complete the basic education cycle by 2015. As shown in figure 3.9, if the past trend 76 • The Status of the Education Sector in Sudan Table 3.8 Gross Intake and Primary Completion Rates for Basic Education, 2000–01 to 2008–09 Average annual percentage-point increase 2000–01 to 2000–01 to 2004–05 to Indicator 2008–09 2004–05 2008–09 Gross intake rate 1.7 0.2 3.2 Primary completion rate 0.7 0.2 1.3 Source: Based on data in table 3.5. Figure 3.9 Projection of the Rate of Access and Completion of Basic Education to 2015 120 100% in 2011 Share of relevant age group (%) 100 PCR: 80% in 2015 80 60 40 20 0 1 2 4 5 20 6 20 07 20 08 20 09 20 10 20 11 20 12 20 13 20 14 20 15 6 –0 –0 –0 –0 –0 –1 – – – – – – – – – 00 01 03 04 05 06 07 08 09 10 11 12 13 14 15 20 20 20 20 20 academic year cohort access (estimated) GIR PCR linear trend line y = 2.96x + 66.9 Source: Authors’ construction from data in table 3.8. in the GIR (as indicated by the linear trend line) continues, then the cohort access rate will reach 100 about 2012—that is, all, or almost all, children will at least enroll in grade 1. If that same trend is applied to the PCR, then that rate will reach 80 percent in 2015—that is, four out of five children will complete the basic cycle. In this scenario, northern Sudan is thus not on track to reach universal primary completion by 2015, but providing access to all children is within reach. If current trends continue, reaching universal primary completion will likely take almost another decade. Patterns of Student Flow • 77 Despite reason for optimism, there is a risk that indicators will stag- nate. There is no guarantee, however, that the trends shown in figure 3.9 can be accomplished in the years ahead. First, as shown in the figure, the GIR actually declined in 2008–09, the latest year.9 Second, figure 3.9 shows that there has not been any improvement in boys’ access rate in many years. This finding could indicate that there are population groups in northern Sudan who remain largely excluded from the edu- cation system. These groups could be hard to reach using traditional measures such as merely making schools available, because this meas- ure has clearly not worked so far. Other measures may be needed, such as adjusting schools better to the needs of the population groups or pro- viding more incentives to increase their demand for schooling. SUMMARY The analysis of student flow patterns in northern Sudan resulted in the following findings: • According to our best estimate, about 90 percent of children cur- rently access grade 1 of basic education (2010 estimate). However, many of them enter school early or late: more than 10 percent were only 5 years old, whereas more than 40 percent were 8 years or older. • On average, a child can expect 7.0 years of basic schooling. Despite recent growth in school life expectancy, northern Sudan is behind many comparator countries with regard to this indicator. Also, given that the basic cycle is eight years, a school life expectancy of only 7 years is clearly insufficient. • There is a fairly low level of repetition in basic schools—only about 4–5 percent—but 36 percent of students repeat the final year of secondary school. • There is considerable student dropout from the basic and secondary education cycles. Dropping out from a cycle before obtaining a diploma or certificate seems to be the most common way of exiting the education system. As a result, in the 8–15 age group, an estimated 30 percent of girls and 22 percent of boys were out of school in 2005–06. • Also, as a result of repetition and dropout patterns, an input of 10.5 student years (instead of 8) is required to produce one basic school completer and 4.2 student years (instead of 3) is required to produce a secondary school completer. 78 • The Status of the Education Sector in Sudan • Transition rates between the cycles are very high: about 74 percent of basic school completers continue on to secondary education, and about 87 percent of secondary school completers continue on to higher education. Thus, relatively few students complete a cycle with- out continuing on to the next cycle. • In 2008–09, only about 54 percent of children completed the basic cycle (61 percent completed the first six years). In an optimistic sce- nario, if recent years’ strong pace of improvement in basic school enrollments continues, almost all children may access at least grade 1 by about 2012, and 80 percent of children may complete basic school by 2015. There are risks, however, and accomplishing these results will require sustained efforts to continue improvements in basic school access and retention. ANNEX: BASIC AND SECONDARY EDUCATION ENROLLMENTS Table 3A.1 Enrollments by Grade in Basic and Secondary Education, Northern Sudan, 2008–09 Schooling School-age Repeaters Nonrepeaters profile/accessa Retention Grade population Enrollment (estimated) (estimated) (percent) within cycle G1 934,516 785,777 39,196 746,581 80 100 G2 905,574 736,540 31,107 705,433 78 98 G3 881,916 701,368 33,745 667,623 76 95 G4 857,918 645,384 30,561 614,823 72 90 G5 833,680 584,953 24,764 560,189 67 84 G6 809,303 516,718 23,712 493,006 61 76 G7 784,884 474,225 19,422 454,803 58 73 G8 760,525 425,499 13,359 412,140 54 68 All basic 6,768,317 4,870,464 215,866 4,654,598 n.a. n.a. S1 736,325 255,939 5,119 250,820 34 100 S2 712,384 217,286 7,518 209,768 29 86 S3 688,801 263,084 93,475 169,609 25 72 All secondary 2,137,510 736,309 106,112 630,197 n.a. n.a. Source: FMoGE 2008–09 statistical yearbook. Note: n.a. = not applicable. a. Rate was determined by enrollment excluding repeaters divided by the population of relevant ages for that grade. Patterns of Student Flow • 79 NOTES 1. The main sources of data are the yearbooks of educational statistics pre- pared by the federal Ministry of General Education (FMoGE) and when indicated, the 2006 Sudan Health Household Survey (SHHS) (GoNU and GoSS 2006). 2. The gross intake rate is calculated as the nonrepeaters in grade 1 divided by the age 6 population. 3. The primary completion rate is calculated as the nonrepeaters in grade 8 divided by the age 13 population. 4. Preschool and higher education are shown as rectangular shapes because we have no information on their intake and completion rates, only their total enrollments. 5. The net intake rate is calculated as the nonrepeaters in grade 1 who are age 6 divided by the age 6 population. 6. The net enrollment rate is calculated as the enrollment of 6–13-year-olds in basic school divided by the population of 6–13-year-olds. 7. These data are based on 8–15-year-olds, which is the eight-year-long cohort with the highest rate of school participation; an eight-year cohort was chosen because the basic education cycle is eight years. 8. In particular, as discussed in chapter 2, the fact that secondary school enrollments increased little from 2004 to 2009, even though the number of schools grew by 50 percent, suggests a problem with the enrollment data. 9. In 2007–08, there was a government campaign informing parents of the importance of sending their children to school, and grade 1 enrollments increased. The following year, there was no campaign, and grade 1 enrollments decreased. REFERENCES FMoGE (Federal Ministry of General Education). 2008. “Baseline Survey on Basic Education in the Northern States of Sudan: Final Report June 2008.” Khartoum. Online document available at http://planipolis.iiep.unesco.org/ epiweb/E029336e.pdf ———. Various years. “Statistical Yearbooks.” Khartoum. GoNU (Government of National Unity) and GoSS (Government of Southern Sudan). 2006. Sudan Household Health Survey (SHHS) 2006. Khartoum/Juba: Central Bureau of Statistics and Southern Sudan Center for Census, Statistics and Evaluation. CHAPTER 4 Disparities his chapter investigates three types of disparities in the rates of T schooling across the 15 states of northern Sudan. It first examines regional disparities in the indicators of school enrollment and then turns to various social disparities. Finally, the chapter looks into the extent of structural disparities in the distribution of public spending on education across individuals of the same generation. Wherever relevant, the extent of the disparities in school participation in northern Sudan is placed in an international comparative context. REGIONAL DISPARITIES GROSS ENROLLMENT RATE Because general education is managed by the states, the analysis of regional disparities necessarily involves examining the disparities across all 15. We start by comparing the gross enrollment rates (GERs) of pre- school, basic, and secondary education, as shown in table 4.1.1 There are large disparities in the GER across states at all three levels of education. The GER spans 13–65 percent for preschool, 65–94 percent for basic school, and 15–61 percent for secondary school.2 The wide bands in these ranges, particularly the one for basic school—which is supposed to be free and compulsory and therefore should not have such a large variation— indicates that some states have quite advanced education systems and others are far behind in terms of even enrolling children in basic school. However, there are also considerable inconsistencies in the data. As mentioned in chapter 2, the basic school GER based on yearbook data is low compared with the same indicator based on the 2006 Sudan Household Health Survey. Not surprisingly, this is also the case when 81 82 • The Status of the Education Sector in Sudan Table 4.1 Comparison of GERs in Preschool, Basic, and Secondary Schools across States, 2008–09 percent Secondary Preschool Basic (academic and technical) Average Average annual annual Average annual Gross percentage- Gross percentage- Gross percentage-point Enrollment enrollment point change enrollment point change enrollment change since level rate since 2005–06 rate since 2005–06 rate 2005–06 High Khartoum 43 1 94 5 61 7 River Nile 65 6 89 –1 7 1 Al Jazirah 44 3 90 0 57 3 Northern 64 4 85 –3 50 2 White Nile 43 5 85 5 37 1 5-state average 52 4 89 1 50 3 Medium South Kordofan 52 9 82 2 32 3 Western Darfur 26 5 88 2 25 3 Sinnar 13 0 80 3 31 1 North Kordofan 23 — 78 4 23 0 Al Qadarif 36 6 70 3 31 1 5-state average 30 5 80 3 28 2 Low Northern Darfur 32 4 67 4 21 –2 Red Sea 64 — — 1 17 –1 Blue Nile 20 0 65 4 20 1 Southern Darfur 38 8 — 1 17 –1 Kassala 17 0 — –2 15 0 5-state average 34 3 66 2 18 0 15-state average 37 4 72 2 34 2 Source: Authors’ construction based on enrollment data from the FMoGE statistical yearbooks from 2005–06 to 2008–09. Note: The states are listed in order of their weighted average GERs across the three education levels using the cycle lengths as weights (two, eight, and three years, respectively, for preschool, basic school, and secondary school). — = not available. comparing the same two statistics by state, but the discrepancy between the two sources of data is much larger for some states than for others. For Kassala, Red Sea, and Southern Darfur states, in particular, the dis- crepancies are so large that we cannot easily reconcile the numbers; therefore, they are not shown in table 4.1, although the table does Disparities • 83 place these three states among those with comparatively low school enrollment.3 Khartoum State has the highest GER overall, as shown in table 4.1. When the states are ordered in terms of their average GERs across the three levels of general education, Khartoum State is at the top of the list. It has very strong GERs in preschool (43 percent), basic school (94 percent), and secondary school (61 percent). The five states with the highest levels of school enrollment—Khartoum, River Nile, Al Jazirah, Northern, and White Nile—are, not surprisingly, the states with the highest levels of economic development in northern Sudan. The five states with the lowest levels of school enrollment—Northern Darfur, Red Sea, Blue Nile, Southern Darfur, and Kassala—were all affected by conflict and presumably have a ways to go to “catch up” with the other states. States with low GERs are falling even further behind. Table 4.1 also provides the average percentage-point increase in the GER across the three levels of education between 2005 and 2009. On average across all 15 states, the GER increased by 2 percentage points per year in both basic and secondary schools (and 4 percentage points per year in preschool). In the five states with low GERs, however, the basic school GER grew by 2 percentage points per year, but the secondary school GER did not increase over the three years. This finding suggests on the one hand, that these states prioritize expanding basic schooling coverage at this moment in time, which is appropriate given their low coverage, but on the other hand, that their overall coverage of schooling is growing slower than other states’ coverage. These states may need additional assistance to increase the pace of growth in school enrollments, as detailed in chapter 7, on education finance. The higher the basic school GER is, the faster the growth in the sec- ondary school GER. The GERs are generally growing fast in the groups designated high and medium in table 4.1. In the intermediate-GER group, coverage is expanding rapidly in both basic schools (3 percentage points per year) and secondary schools (2 percentage points per year). In the high-GER group, coverage in basic schools is expanding at a slower pace (1 percentage point per year) than in secondary schools (3 percentage points per year) for an obvious reason: these states are closer to full basic education coverage. ACCESS TO GRADE 1 OF BASIC SCHOOL Household surveys provide another source of data on the regional dis- parities in school enrollment.4 For selected states, figure 4.1 depicts the 84 • The Status of the Education Sector in Sudan Figure 4.1 Access: Regional Disparities in the Share of Children between Ages 5 and 17 Who Had Ever Accessed Basic School, 2005–06 100 80 60 percent 40 20 0 5 6 7 8 9 10 11 12 13 14 15 16 17 age (years) Khartoum River Nile average northern Sudan Southern Darfur Kassala Source: Authors’ analysis of the 2006 Sudan Household Health Survey (GoNU and GoSS 2006). share of children ages 5–17 who reported in the 2006 Sudan Household Health Survey having ever been enrolled in basic school (whether they were still enrolled or not). In Khartoum and River Nile states, almost all children access school at some point, although not at age 6 for most of them. For these top two states in table 4.1, the share of children enrolled or having been enrolled in school rose from 40–50 percent of 5-year-olds and 65–70 percent of 6-year-olds to 80–85 percent of 7-year-olds and 90–95 per- cent of 8-year-olds only to level out around 95–99 percent for children ages 9 and up. Thus, some 95–99 percent of children reportedly entered basic school at some point in their lives. This statistic is also known as the cohort access rate. However, only about 10–20 percent of children entered school at the exact age of 6, the official age of entry to grade 1. In Southern Darfur and Kassala, about 70 percent of children gained access to school in 2006, but most did so after age 6. Similarly, for Southern Darfur and Kassala, the bottom two states in table 4.1, the cohort access rate can be estimated as the share of children in the 10–13 age group who have ever accessed school. In these two states, the value of this statistic is about 70 percent based on household survey data. It is noteworthy that it is much less common in these two states for 5-year-olds to be enrolled in school but more common to enter school late. Disparities • 85 SOCIAL DISPARITIES This section looks at social disparities in the rates of school participation. It is severely limited by the availability of data, and therefore considers only three dimensions: boys versus girls, urban versus rural children, and rich versus poor children. Statistical information is missing about vulnerable groups. First, there is insufficient information to assess the school enrollment (and nonen- rollment) rates of internally displaced persons (IDPs) and nomads, who make up two of the most vulnerable groups in northern Sudan.5 Second, there are no available data on orphans, neither on the number of orphans, potentially high given that it is a postconflict country, nor on their rates of school participation or barriers to their access to schooling. These are areas that need further research. GENDER DISPARITIES We start the analysis of social disparities by looking at the effect of gender on school enrollments. Based on data from the yearbooks, table 4.2 pro- vides information on the share of girls in total enrollments by level of education. In the formal system, the share of girls increases with rising levels of schooling. In 2008–09, girls made up 47 percent of enrollments in preschool, 46 percent in basic school, 49 percent in academic second- ary school, and 56 percent in higher education (and 25 percent in technical secondary school), according to table 4.2. Thus, with the exception of the technical track of secondary school, the proportion of girls increases with rising levels of education, indicating better reten- tion of girls than boys in the system. The table also shows that the pro- portion of girls in total enrollments has fluctuated only slightly since the 2000–01 academic year. Table 4.3 shows nomadic and village schools have higher gender gaps than do other basic schools. Government schools that are not nomadic, Table 4.2 Share of Girls in Enrollments by Level of Education, 2000–01 and 2008–09 Secondary Academic year Preschool Basic Academic Technical Higher 2000–01 50 46 52 36 52 2008–09 47 46 49 25 56 Source: FMoGE statistical yearbooks for years indicated. 86 • The Status of the Education Sector in Sudan Table 4.3 Share of Girls in Enrollments by Type of Basic School, 2008–09 percent Government school Nongovernment Academic year Nomadic IDP Village Other school 2008–09 38 44 41 47 44 Source: FMoGE 2008–09 statistical yearbook. Note: IDP = internally displaced person. IDP, or village schools have higher shares of girls (47 percent) than do nomadic schools (38 percent), IDP schools (44 percent), multigrade village schools (41 percent), or even nongovernment schools (44 percent). This finding suggests that girls are at a greater disadvantage among marginalized or vulnerable population groups than in the population as a whole. More adult women than men attend literacy education. In special edu- cation, girls make up 36 percent of enrollments, whereas girls make up 57 percent of enrollments in adolescents education and 76 percent of enrollments in literacy and adult education. The higher enrollment of women in literacy education may be explained by a greater need for catch- up education for women as a result of lower rates of schooling for girls in past generations, as indicated by the lower literacy rates for women (52 percent) than for men (71 percent).6 In order to assess the extent of gender disparities in education more precisely, adjustments are needed in the population data for girls and boys. Specifically, it is necessary to calculate the GER for girls and boys separately to take into account that the population may not include equal numbers of girls and boys. This calculation is not simple for northern Sudan, how- ever, because 4 out of the 15 states have gender ratios far outside the nat- ural range, according to data from the 2008 census.7 As shown in figure 4.2, Northern Darfur, Southern Darfur, Kassala, and Red Sea have between 113 and 146 boys per 100 girls in the 6–13 age groups, numbers normally seen only in countries with a strong preference for sons, such as China and parts of India (Das Gupta and others 2002). For the calculation of separate GERs for girls and boys, the breakdown of the population by gender is therefore adjusted to reflect the average ratios for northern Sudan (when excluding the four states) for the age group, which are 104 boys per 100 girls in the 4–5 age group, 106 boys per 100 girls in the 6–13 age group, and finally, 100 boys per 100 girls in the 14–16 age group. Overall, the slight advantage for boys in preschool and basic school is no longer present by secondary school. Table 4.4 compares the GER for girls with that of boys and calculates the gender parity index (GPI) by level of education.8 Both preschool and basic school have GPIs of Disparities • 87 Figure 4.2 Ratio of Boys to Girls in the Basic School-Age Population, by State, 2008 Al Jazirah Sinnar White Nile Khartoum Al Qadarif South Kordofan North Kordofan Blue Nile Western Darfur Northern River Nile Northern Darfur Southern Darfur Kassala Red Sea 80 90 100 110 120 130 140 150 number of boys per 100 girls, 6–13 age group Source: Authors’ analysis of the 2008 population census data. Table 4.4 Gender Disparities at All Levels of Education, 2008–09 Secondary Indicator Preschool Basic Academic Technical Higher Gross enrollment rate (percent) Girls 35 68 33 0.6 20 Boys 39 76 34 1.9 16 Gender parity index 0.90 0.90 0.97 0.33 1.27 Source: FMoGE 2008–09 statistical yearbook. 0.90, which indicates that slight disadvantages are present for girls at these education levels. In academic secondary school, the GPI is almost 1.00 (and the GER for girls, 33 percent, is almost equal to that for boys, 34 percent). Interestingly, by the time they enter higher education, boys are at a considerable disadvantage. This reversal is indicated by the GPI of 1.27 in table 4.4. The better retention of girls in the system may be explained by greater incentives for girls to stay in school to delay marriage and to delay entrance into an uncertain labor market. However, boys may have better 88 • The Status of the Education Sector in Sudan opportunities in the labor market and therefore fewer incentives to stay in school. In secondary and higher education, the GPI for northern Sudan is closer to the GPI for countries in the Middle East and North Africa than it is to the GPI for most countries in Sub-Saharan Africa, as shown in Table 4.5. In spite of promising statistics for girls’ education, pockets of disad- vantage for girls persist. As we see in the following section, some groups of girls may still be at a considerable disadvantage in terms of their access to schooling, although the aggregate data for northern Sudan show that the differences are small at the national aggregate level. COMPARISON OF DISPARITIES ACCORDING TO LOCATION, INCOME, AND GENDER The availability of household survey data for northern Sudan makes it possible to compare the extent of social disparities in education across several social dimensions. The 2006 Sudan Household Health Survey was the most recent survey available at the time of preparing this report and thus the source of the data (GoNU and GoSS 2006). Figure 4.3 presents the probability of a child’s ever enrolling in basic school based on the following variables: urban or rural location, level of household income, and gender. However, because the survey was conducted in Table 4.5 International Comparison of Gender Parity Index by Level of Education, Latest Available Year Academic Country Preschool Basic secondary Higher Northern Sudan 0.90 0.90 0.97 1.27 Cameroon 1.02 0.86 0.80 0.79 Kenya 0.96 0.98 0.92 0.70 Nigeria 0.99 0.88 0.77 0.70 Uganda 1.05 1.01 0.85 0.80 Four-country average (SSA) 1.01 0.93 0.84 0.74 Egypt, Arab Rep. 0.94 0.95 0.94 — Iran, Islamic Rep. 0.96 1.40 0.98 1.14 Jordan 0.94 1.02 1.04 1.11 Tunisia 0.99 0.97 1.10 1.50 Four-country average (MENA) 0.96 1.09 1.02 1.25 Source: World Bank EdStats database. Note: MENA = Middle East and North Africa; SSA = Sub-Saharan Africa. Disparities • 89 Figure 4.3 Access: Probability of Ever Enrolling in Basic School (Grade 1) according to Location, Income, and Gender, circa 2005 100 94% 90% 85% 87% 82% 80 77% percent 60 40 20 0 rural urban poor rich girls boys location income gender Source: Authors’ analysis of the 2006 Sudan Household Health Survey (GoNU and GoSS 2006). The figure is based on responses of children ages 11–15. Annex table 4B.1 provides the details of the regression analysis on which this chart is based. Note: For this figure, poor means belonging to the lowest income quintile and rich means belonging to the two richest quintiles of the population. 2006 and because the probabilities were computed based on the responses of children a few years after they enrolled (or not) in basic school, the figures may be taken as indicative of the social disparities in the system around 2000–05. The urban or rural location is the best predictor of a child’s chance of ever going to school, but gender and poverty also matter. Figure 4.3 clearly shows that children in rural areas, children from poorer house- holds, and girls are at a disadvantage in terms of access to schooling. Of the three variables, the strongest predictor of access to schooling is location. Urban children are 17 percentage points more likely than rural children to access school. Overall, boys are 8 percentage points more likely than girls to access school, and rich children are 2 percentage points more likely than poor children to access school. Gender matters even more for children in rural areas. Table 4.6 goes a step further by illustrating the total disadvantage resulting from all the possible combinations of rich-poor, urban-rural, and boy-girl. It shows that there are compounding effects from gender and rurality, so that being a girl is more of a disadvantage in a rural than in an urban setting: girls are 4 percentage points less likely than boys to attend school in urban areas but 11–12 percentage points less likely than boys to attend school in rural areas. Therefore, the poor rural girl is the most disadvantaged of all. She is about 25 percentage points less likely to ever access basic school than the rich urban boy. More child-friendly schools can attract more girls. A joint Government of Southern Sudan (GoSS) and UNICEF study conducted in southern 90 • The Status of the Education Sector in Sudan Table 4.6 Access: Interaction of Gender with Poverty and Rurality Rich Poor Indicator Urban Rural Urban Rural Boy (percent) 96 84 95 82 Girl (percent) 92 72 91 70 Gap (percentage points) 4 11 4 12 Source: Regression analysis of the 2006 Sudan Household Health Survey (GoNU and GoSS 2006). The figure is based on responses of children ages 11–15. Annex table 4B.1 provides the details of the regression analysis on which this chart is based. Note: The table gives the probability of still being in school by the final grade (for those who have attended grade 1). Sudan in 2008 may provide insights into why some girls are being held back in rural areas of northern Sudan (MoEST/GoSS 2009).9 One of the main conclusions of the study was that parents generally do want to educate their daughters, but many are not sending them to school out of concern for their safety on the way to and from school or even in the school itself. The study concludes that safer and more child-friendly school environments—for girls as well as for boys—can be achieved by making fairly modest changes, such as increasing parent involvement in school management or providing tuition waivers for girls, and that these changes are likely to be enough to persuade parents to send their daughters to school. The study also emphasizes the need for teaching life skills in schools and in the community. Longer distances to schools in rural areas may be more of a prob- lem for girls than for boys. The 2008 baseline survey (FMoGE 2008) found a declining GPI with increasing distance to school: 0.84 for stu- dents with a school less than 1 km from home, 0.78 for students with 1–3 km between school and home, and 0.66 for students with more than 3 km between home and school. Because of the correlations in the data between rurality and distance to school, the results may just be showing that rural girls have less access to school than do urban girls, confirming what was discussed previously. However, they may also indicate that distance to school can explain a part of the problem of girls’ low access to school in rural areas. Girls are almost as likely as boys to stay in school once enrolled. Figure 4.4 shows a similar analysis of the probability of staying in school until the final grade for those who enrolled in grade 1 (reten- tion). Again, location is the best predictor of retention in basic school, with urban children having a 20 percentage-point higher chance than rural children of still being in school by grade 8. However, even for Disparities • 91 Figure 4.4 Retention: Probability of Still Being in School by Grade 8, by Location, Income, and Gender, circa 2005 80 63% 60 54% 53% 53% 53% percent 43% 40 20 0 rural urban poor rich girls boys location income gender Source: Authors’ analysis of the 2006 Sudan Household Health Survey (GoNU and GoSS 2006). The figure is based on the responses of children ages 15–19. Note: The figure covers only those who attended grade 1. For this figure, poor means belonging to the lowest income quintile, and rich means belonging to the two richest quintiles of the population. urban children, retention is no more than 63 percent. Girls are about as likely as boys to remain in school.10 Girls and boys have similar rates of retention in both urban and rural areas, as shown in table 4.7. Retention rates are also similar for rich and poor children. There is no compounding effect of gender with urban-rural location. Thus, the difference between boys’ and girls’ participation in basic education is only related to access to grade 1 (not retention once in school), and this result applies to both urban and rural children. In urban areas, the problem is mainly retention; in rural areas, the focus must be on both access and retention. To improve access to education, more research is needed to determine whether the weak access of rural children to school is mostly a question of improving—and possibly adapting—the supply of schooling, that is, by providing schooling that is free of charge, that is close to where children live, that has acceptable school hours and curriculum, and so on. Or it could be a question of raising the demand for schooling, that is, by running cam- paigns informing parents about the benefits of schooling and possibly compensating families for the opportunity cost of schooling (rural children are often engaged in productive activities in the field or in the home). The retention of children in school may also be affected by both characteristics of the supply of schooling and factors affecting the demand. More data are required to understand the relative mag- nitude of demand and supply factors. These data will potentially be available through the 2009 Household Survey and long form of the 2008 census (demand factors) and the Education Management Infor- mation System data (supply factors). 92 • The Status of the Education Sector in Sudan Table 4.7 Retention: Interaction of Gender with Poverty and Rurality Rich Poor Indicator Urban Rural Urban Rural Boy (percent) 63 44 64 45 Girl (percent) 62 43 64 44 Gap (percentage point) 1 1 1 1 Source: Regression analysis of the 2006 Sudan Household Health Survey (GoNU and GoSS 2006). The table is based on the responses of children ages 15–19. Note: The table gives the probability of still being in school by the final grade (for those who have attended grade 1). OUT-OF-SCHOOL CHILDREN IN URBAN AND RURAL AREAS Overall, all of the access and student flow issues are magnified in the rural areas. Figure 4.5 provides an illustration of the schooling status for urban and rural children and youth in northern Sudan around 2005–06.11 The two panels confirm many of the findings that have been discussed in this and previous chapters: (a) the relatively late (or in some cases, early) age at which many children enter basic school, (b) the low level of retention from one grade to the next throughout basic and secondary education, and (c) the fact that enrollment in school seems to peak about ages 10–11. Although these basic patterns appear to be the same for urban and rural children, a comparison of the two panels also shows that these issues are, for the most part, much more severe in rural areas. Not surprisingly, the share of out-of-school children is higher in rural than in urban areas. The two panels also show the proportion of children who are out of school by single age from 5 to 24 years, and provide a breakdown of the out-of-school children into two groups: (a) those who have never had access to school and (b) those who have been enrolled but are no longer in school. Clearly, there are many more out-of-school chil- dren in rural areas; and in particular, the share of children who have never had access to schooling is relatively much larger in rural than in urban areas (this “never access” group appears at the top of each panel). An estimated 1 million children and youth between the ages of 10 and 17 have never been to formal school (and likely never will). For the education policy makers and planners, it is important to know how many children and youth belong to this particular group because they will likely need other forms of education in the years to come if they are to become literate adults. For the 10–17 age range, the number is Disparities • 93 Figure 4.5 Schooling Status of Urban and Rural Children by Age, 2005–06 a. Urban 100 90 80 70 percent 60 50 40 30 20 10 0 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 age (years) b. Rural 100 90 80 70 60 percent 50 40 30 20 10 0 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 age (years) not currently enrolled and never attended school not currently enrolled but have attended school enrolled in nonformal enrolled in higher enrolled in secondary enrolled in basic enrolled in preschool Source: Authors’ analysis of the 2006 Sudan Household Health Survey (GoNU and GoSS 2006). Note: For this figure, nonformal combines all other types of education not captured in the other categories. estimated in table 4.8 by combining the cohort access rates provided in table 4.6 with the total 10–17 population in northern Sudan. Table 4.8 pro- vides a breakdown of this group by gender and urban-rural location. More than 800,000 are in rural areas, and more than 500,000 are rural girls. STRUCTURAL DISPARITIES Structural disparities refer to the way in which educational resources are distributed among people belonging to the same generation. Children 94 • The Status of the Education Sector in Sudan Table 4.8 Estimated Number of 10- to 17-Year-Olds in Northern Sudan Who Have Never Been in School, by Gender, 2008 Indicator Urban Rural Total Boy 55,090 313,520 368,610 Girl 99,660 507,740 607,400 Total 154,750 821,260 976,010 Source: Authors’ construction based on a combination of table 4.6 and 2008 population data. who never access school do not consume any public educational resources, whereas those who advance all the way to higher education absorb significant public resources over the course of their school careers. Furthermore, because the level of per-student spending rises with each level of education, a considerable proportion of educational resources tends to be consumed by the 10–20 percent most educated within a gen- eration. This section analyzes aspects of the distribution of educational resources among people belonging to the same cohort. The analysis excludes preschool for better comparability with data for other countries provided at the end of this section. Structural disparities are a function of the schooling profile and per- student spending levels. Based on the schooling profile in northern Sudan, table 4.9 calculates the distribution of a cohort of children by the highest level of education attained (column A1): 15 percent of the cohort do not attend any schooling whatsoever, whereas 2 percent attain grade 1 as their highest level, another 2 percent attain grade 2, and so on per table 4.9, until the last row, which shows that 20 percent of the cohort attain higher education. The table also calculates the total amount of education spending absorbed by members of a cohort over their entire schooling career by the highest level attained (column B1): although the 15 percent with no schooling consume no resources, the 20 percent who attain the higher education level consume 62 percent of total education spending. Figure 4.6 plots the cumulative distribution of a cohort of children by highest education level attained by the cumu- lative distribution of spending (A2 against B2)—also known as the Lorenz curve. The 10 percent most educated consume 32 percent of educational resources. Based on the Lorenz curve, it is possible to determine the value of two indicators that are commonly used to measure the extent of structural inequalities within the education system. The first indica- tor, the Gini coefficient for the distribution of educational resources, is Table 4.9 Distribution of Public Education Spending among Members of the Same Cohort, 2008–09 Distribution of cohort by Basic data highest level attained Public spending by highest level attained Schooling Public per A2: Cumulative B2: Cumulative profile of student distribution of distribution of cohorta spending by A1: percentage cohort Per student Per cohortb B1: Distribution spending Education level percent) level (SDG/year) of total (percent) (SDG) (SDG) (percent) (percent) No school n.a. 0 15 15 0 0 0 0 Basic G1 85 260 2 17 260 553 0 0 G2 83 260 2 19 520 1,217 0 0 G3 81 260 4 24 780 3,319 1 1 G4 76 260 5 29 1,040 4,979 1 3 G5 71 260 7 35 1,300 8,713 2 5 G6 65 260 3 38 1,560 4,979 1 7 G7 62 260 4 42 1,820 7,164 2 9 G8 58 260 21 64 2,080 44,477 12 21 Secondary S1 36 756 5 69 2,836 14,180 4 25 S2 31 756 5 74 3,592 18,342 5 30 S3 26 756 7 80 4,348 28,678 8 38 Higher (four years) 20 1,730 20 100 11,268 220,565 62 100 Source: Authors’ calculations based on the FMoGE 2008–09 statistical yearbook. a. The “schooling profile” was calculated in chapter 2: in each grade, it is the enrollment excluding repeaters divided by the population of relevant age. Because the schooling profile based on yearbook data is likely to be underestimated in northern Sudan, the schooling profile shown in this table was adjusted upward by about 5 percentage points to match the higher cohort access rate from the SHHS 2006. b. This value was calculated for a hypothetical cohort of 100 children. 95 96 • The Status of the Education Sector in Sudan Figure 4.6 Lorenz Curve for the Distribution of Public Education Spending, 2008–09 100 32% of resources are cumulative share of resources (percent) consumed by the 80 10% most educated 60 40 20 0 0 10 20 30 40 50 60 70 80 90 100 cumulative share of cohort (percent) Source: Data are taken from table 4.9. 0.55 for northern Sudan. The second indicator, the share of resources consumed by the 10 percent most educated, is 32 percent.12 Overall, the distribution of educational resources is inequitable in comparison with other countries because of northern Sudan’s low basic education coverage and retention, as well as low per-student spending at that level. Its Gini coefficient for education spending is more similar to the low-income than the middle-income countries in Sub-Saharan Africa. This finding shows that a sizeable share of a generation is excluded from any education at all or receives just a few years of schooling, and that per-student spending for basic education is comparatively low. Struc- tural disparities could be reduced by improving access and completion rates in basic school (all other things being equal, 100 percent access and completion of basic school would reduce the Gini coefficient of education spending from 0.55 to 0.38) and by raising per-student spending at this leve. The upper part of the education system is comparatively equitable in northern Sudan because of its high coverage and moderate per-student spending. However, table 4.10 compares these values to those for low- and middle-income Sub-Saharan African countries. Although the share of resources consumed by the 10 percent most educated (32 percent) Disparities • 97 Table 4.10 Distribution of Public Spending on Education within a Cohort of Children, Northern Sudan Compared to Sub-Saharan Africa, 2008–09 Percentage of public spending to 10 percent Country Gini coefficient most educated Northern Sudan (2008–09) 0.55 32 Cape Verde — 25 Chad — 67 Congo, Rep. — 46 Ethiopia — 65 Kenya — 34 Morocco — 26 Low-income-country average (2003) 0.52 43 Middle-income-country average (2003) 0.30 25 Source: Mingat and Majgaard 2010; UNESCO BREDA 2007. Note: — = not available. compares favorably to the average for low-income African countries (43 percent), it does not quite meet the mark of the middle-income countries (25 percent). This finding shows that secondary schooling and particularly higher education enjoy fairly high levels of coverage and that per-student spending is fairly moderate at these levels. SUMMARY The education system in northern Sudan is characterized by consider- able disparities, although there are also encouraging signs that these gaps are diminishing. The following list summarizes, by order of impor- tance, this chapter’s analysis of regional, social, and structural dispari- ties in the system: • Very large gaps in school enrollment exist between rural and urban children. For example, urban children are 17 percentage points more likely than rural children to ever enroll in basic school. Within the rural segment of the population, girls are less likely than boys to enroll in school. • Overall, more research is needed to identify the main barriers to access to schooling—whether they are associated with characteristics of the 98 • The Status of the Education Sector in Sudan supply of schooling (such as distance to school, school fees, quality and relevance of schooling) or with weak demand for schooling related to poverty and opportunity costs. • An estimated 1 million youth between ages 10 and 17 in northern Sudan have never attended basic school. This group needs support in the form of literacy programs if they are to become literate adults. • The data on school performance of girls—after enrollment, are encouraging. The share of girls in school enrollments increases with rising levels of education, which indicates a better retention for girls once they are enrolled. This result holds even in rural areas. • The 15 states can be divided into three groups based on their GERs across the three levels of general education. The five states with intermediate levels of GER are experiencing very strong growth in enrollments and schooling coverage. However, the five low-GER states—which are all postconflict states—are not seeing the same rapid progress and may need additional support. These states are Northern Darfur, Red Sea, Blue Nile, Southern Darfur, and Kassala. • There is a need for more research about the rates of school enrollment of vulnerable groups—particularly nomads, IDPs, and orphans—and of the barriers to their school participation. The regional analysis, which shows that postconflict states are lagging behind other states, indicates that some of the vulnerable groups, particularly IDPs, are potentially at a serious disadvantage. • All across northern Sudan, children access grade 1 at different ages, not necessarily at the prescribed age of 6. In Khartoum and River Nile states, they often access school before age 6, and in the more peripheral, postconflict states, most children access school after age 6. • The education system in northern Sudan is more inequitable than the education systems in comparator countries, which are the middle- income countries of Sub-Saharan Africa and the Middle East and North Africa. Too many children within a cohort benefit minimally from public education spending in northern Sudan, whereas the 20 percent most educated within a cohort—which are essentially those who attain a university-level education—consume more than 60 percent of public education spending. Improving access to and completion of basic education would significantly reduce the inequality in the use of education resources and thereby close the gap in this indicator between northern Sudan and other middle-income countries. Disparities • 99 ANNEX 4A: ENROLLMENT OF GIRLS IN EDUCATION IN NORTHERN SUDAN Table 4A.1 Share of Girls in Total Enrollments, by State and Level of Education, 2008–09 Secondary State Preschool Basic Academic Technical Higher Northern 51 49 54 9 47 River Nile 51 47 55 20 62 Khartoum 49 50 52 22 55 Al Jazirah 51 47 53 15 68 Blue Nile 50 44 37 34 42 Sinnar 41 46 49 37 53 White Nile 49 46 49 37 52 North Kordofan 51 45 49 30 55 South Kordofan 45 45 42 0 58 Northern Darfur 52 46 42 39 69 Southern Darfur 36 43 41 7 51 Western Darfur 50 44 36 27 54 Red Sea 40 44 48 26 53 Kassala 51 42 49 30 60 Al Qadarif 46 45 47 33 60 All states 47 46 49 25 56 Source: FMoGE 2008–09 statistical yearbook. ANNEX 4B: PROBABILITY OF CHILDREN EVER ENROLLING IN BASIC SCHOOL Table 4B.1 Logistic Regression Results: Probability of Ever Enrolling in Basic School (Grade 1), by Location, Income, and Gender, circa 2005 Probability of ever Dependent variable enrolling in school (access) Constant 0.8278 Boy 0.6661*** Urban 1.5032*** (continued next page) 100 • The Status of the Education Sector in Sudan Table 4B.1 (continued) Probability of ever Dependent variable enrolling in school (access) Wealth quintile 2 and 3 (second-poorest and middle quintile) 0.0647*** Wealth quintile 4 and 5 (richest two quintiles) 0.1133*** Memo items: Age group Ages 11–15 Number of observations 10,959 “R2” (Sommer’D statistic) 0.34 Source: Authors’ analysis of the Sudan Household Health Survey 2006 (GoNU 2006). *** Statistically significant at the 1% level. NOTES 1. As in chapter 2, the GER is calculated by contrasting enrollment data from the 2008–09 school year with population data from the 2008 population census. 2. The range for basic school excludes those states for which it has not been possible to determine a realistic GER, because of problems with either enrollment or population data. 3. In table 4.1, Red Sea State and Southern Darfur State have been placed among the states with low schooling coverage based on a low basic school GER (about 40 percent) according to the yearbook data, although the 2006 Sudan Household Health Survey suggests that their schooling coverage is considerably higher (in the 70–90 percent range). 4. As mentioned earlier, household surveys are often more reliable sources of data on the effective rate of schooling coverage because they are not affected by multicohort effects or measurement errors in the school census or population data. 5. Although, as reported in chapter 2 and as follows, some data on enroll- ments in so-called IDP and nomadic schools are available; however, this infor- mation is not enough to determine rates of schooling coverage for these two groups because we don’t have their population data and because some IDP chil- dren and nomadic children may be attending regular schools. 6. These data are from 2000 and were found in the World Bank EdStats data- base. The data are for a population of 15 years and older. 7. At birth, the natural range for the gender ratio is 100–106 boys per 100 girls. Among teens, the ratio of boys to girls is close to 100:100 in most populations, according to Das Gupta and others (2002). 8. The GPI is here calculated as GER girls/GER boys. 9. A rights-based, child-friendly school has two basic characteristics: • It is child seeking—actively identifying excluded children to get them enrolled in school and included in learning; treating children as subjects with rights that the states are duty-bound to fulfill; and demonstrating, promoting, and helping to monitor the rights and well-being of all children in the community. • It is child centered—acting in the best interests of the individual child, leading to the realization of the child’s full potential, and concerned both Disparities • 101 about the “whole” child (including her health, nutritional status, and well-being) and about what happens to that child (in her family and com- munity) before she enters school and after she leaves it. 10. Poor children are as likely as rich children to remain in school once enrolled; this surprising result again suggests that income may be poorly deter- mined in the survey. 11. A similar figure that shows the average for all of northern Sudan was pro- vided in chapter 3 (figure 3.5). 12. The Gini coefficient is a measure of the inequality of distribution. It is cal- culated as the ratio of the area between the diagonal and the Lorenz curve to the area of the triangle beneath the diagonal. A value of zero expresses total equality and a value of one expresses maximum inequality. REFERENCES Das Gupta, M., World Bank Development Research Group, Public Services, and Rural Development. 2002. Why Is Son Preference So Persistent in East and South Asia? A Cross-Country Study of China, India, and the Republic of Korea. Policy Research Working Paper 2942. Washington, DC: World Bank. FMoGE (Federal Ministry of General Education). 2008. “Baseline Survey on Basic Education in the Northern States of Sudan: Final Report June 2008.” Khartoum. Online document available at http://planipolis.iiep.unesco.org/ epiweb/E029336e.pdf ———. Various years. “Statistical Yearbooks.” Khartoum. GoNU (Government of National Unity) and GoSS (Government of Southern Sudan). 2006. Sudan Household Health Survey (SHHS) 2006. Khartoum/Juba: Central Bureau of Statistics and Southern Sudan Center for Census, Statistics and Evaluation. Mingat, A., and Majgaard, K. 2010. Education in Sub-Saharan Africa: A Comparative Analysis. Washington, DC: World Bank. MoEST/GoSS (Ministry of Education, Science, and Technology/Government of Southern Sudan). 2009. A Report of the Study on Socio-Economic and Cultural Barriers to Schooling in South Sudan. Juba: MoEST/GoSS & United Nations Children’s Fund. UNESCO BREDA (United Nations Educational, Scientific, and Cultural Organi- zation Regional Office for Education in Africa). 2007. Education for All in Africa 2007: Top Priority for Integrated Sector-Wide Policies. Dakar ϩ 7 Report. Dakar, Senegal: UNESCO BREDA. Available at http://www.poledakar.org/spip .php?article255. CHAPTER 5 Service Delivery and Learning Outcomes in Basic Schools in Three States his chapter focuses on the delivery of basic education services by T the government and on student learning outcomes in govern- ment basic schools in Kassala, North Kordofan, and River Nile states. These three states were surveyed for this chapter, or more com- monly known as the service delivery survey (SDS) in 2009, as part of the current report on the status of the education sector in northern Sudan. Both supply and demand factors affect student learning out- comes. On the supply side, school and classroom resources such as textbooks, chalkboards, class size, and teachers are necessary but not sufficient for student learning (Case and Deaton 1999; Das and oth- ers 2007). The effectiveness of service delivery—that is, how available resources are used—is also crucial to student learning outcomes (Min- gat and Majgaard 2010). On the demand side, parental education and income and individual student characteristics affect learning out- comes (Glewwe and Jacoby 1994). Therefore, this chapter examines several specific issues: school and classroom resources and their use plus school management, which are all part of service delivery; stu- dent learning achievement, the ultimate objective of education sys- tems; and selected factors outside of school that affect learning outcomes.1 The main purposes of the SDS are to gain an understanding of stu- dent learning outcomes, provide insights into education service deliv- ery, and complement and add to existing studies on basic education in northern Sudan. Previous studies on basic education in this area pro- vide useful information on the education system, but they do not assess student learning outcomes within the existing education system (EU 2008; FMoGE 2008).2 Moreover, northern Sudan currently does 103 104 • The Status of the Education Sector in Sudan not have an institutionalized learning assessment through which to monitor student learning. Regular assessments of student learning levels are a useful tool for pol- icy makers. Such assessments provide a guide both to how well the system is doing in promoting learning and, when coupled with a service delivery component, to factors that may contribute to or hinder the student learn- ing process. Assessments can also be used to compare learning perform- ance over time, across schools within a country, and internationally to inform priority setting and investment in education to ensure maximum learning outcomes in a climate of limited resources. The SDS conducted a learning assessment comprising both a mathematics and a reading com- ponent for grade 5 students in the three states to provide a snapshot of grade 5 student learning levels in the sample schools. (For details on the learning assessment, see the Student Learning Outcomes section later in this chapter.) The three survey states were chosen to provide examples of states with high, intermediate, and low performance levels on the selected basic edu- cation indicators shown in table 5.1. For basic education, River Nile State has a high gross enrollment rate (GER), gross intake rate (GIR), primary completion rate (PCR), and retention rate; spends significantly more on Table 5.1 Basic Education Indicators for the Three Surveyed States and the Northern Sudan Average, 2008–09 Northern North Sudan Indicator Kassala Kordofan River Nile average Number of students enrolled 182,372 529,762 183,605 n.a. Gross enrollment rate (percent) 46 78 89 72 Gross intake rate in grade 1 (percent) 80 76 92 80 Grade 8 completion rate (percent) 25 54 70 54 Retention rate (percent) 31 72 76 68 Percentage of girls in total enrollment 42 45 47 46 Percentage of students enrolled in nomadic schools 17 2 4 3 Per-student spending (SDG) 298 174 426 240 Student-teacher ratio 31 42 22 33 Source: FMoGE 2008–09 statistical yearbook; staff estimates. Note: n.a. = not applicable; SDG = Sudanese pounds. Service Delivery and Learning Outcomes in Basic Schools in Three States • 105 education per student; and has a lower student-teacher ratio (STR) than the national average. By comparison, for North Kordofan State, the selected education indicators are quite similar to the national average. In Kassala State, the gross enrollment, completion, and retention rates are all much lower than the national average and those of the two other states. The share of students enrolled in nomadic schools in Kassala is notably larger (17 percent), which may partly explain the relatively low retention rate and high per-student spending. The rest of the chapter unfolds in logical order. It begins by describ- ing the sample. Because the school and classroom environment pro- vides the context for student learning, the subsequent section describes and discusses the results for this indicator based on the data collected by the SDS, and when possible, the findings are compared with those of previous studies. Then student learning outcomes across the three states, internationally, and for rural/peri-urban and urban schools are examined and compared before a discussion of the potential reasons for differences in student performance, in addition to school and classroom factors, begins. The penultimate section provides a brief review of stu- dent performance in secondary education, which was not covered by the SDS because the United Nations Educational, Scientific, and Cul- tural Organization (UNESCO) and the United Nations Children’s Fund (UNICEF) are currently conducting a similar study of this subsector. Finally, the main findings are summarized. SAMPLE DESCRIPTION After the three states were chosen, 195 government basic schools were selected for the sample, equivalent to 5–7 percent of government schools in each state. Cost and time constraints dictated the use of a convenience sample, and mainly single-sex schools were included, which means that it is not possible to generalize the survey findings outside the schools and grade 5 students in the sample. To collect the data, the SDS used five questionnaires. A head teacher questionnaire contained school-level questions. A classroom question- naire was based on enumerators’ observations of one grade 3, one grade 4, and one grade 5 classroom in each school. A teacher questionnaire asked three to six teachers in each school about their backgrounds and teaching. And a student background questionnaire and learning assess- ment consisted of one mathematics and one reading component, and was administered to 20 students in each school. 106 • The Status of the Education Sector in Sudan Table 5.2 presents the sample information. Of the 195 basic schools sur- veyed, 44 were in Kassala, 99 in North Kordofan, and 52 in River Nile. The head teacher in each school was interviewed to collect school-level data. In addition, 232 teachers in Kassala, 484 teachers in North Kordofan, and 296 teachers in River Nile were interviewed. The final student sample consisted of 3,893 students, and all of these students completed the background questionnaire and learning assessment.3 Finally, three classrooms (one grade 3, one grade 4, and one grade 5) were observed by the enumerators in each of the 195 schools for a total of 585 observed classrooms. Table 5.3 shows the shares of rural/peri-urban and urban schools in the sample. In Kassala, 43 percent of sample schools are rural or peri- urban and 57 percent are urban. The corresponding shares for North Kordofan are 42 percent rural or peri-urban and 58 percent urban, and for River Nile, 52 percent rural or peri-urban and 48 percent urban. The rural/peri-urban and urban classifications are based on the interviewed head teachers’ categorizations of their schools. Urban schools are those reported as being located in an urban area (that is, in the main locality). For the purposes of the analysis in this chapter, the peri-urban and rural Table 5.2 Sample Information for the Three Northern Sudan States Chosen, 2009 North Three states Basic educationa Kassala Kordofan River Nile (average) Number of schools Total for state 630 1,863 754 3,247 Sample 44 99 52 195 Sample as percentage of total 7.0 5.3 6.9 (6.0) Number of teachers Total for state 5,468 12,445 8,404 26,317 Sample 232 484 296 1,012 Sample as percentage of total 4.2 3.9 3.5 (3.8) Tested 88 198 103 389 Number of grade 5 students Total for state 16,943 62,887 21,840 101,670 Sample 878 1,977 1,038 3,893 Sample as percentage of total 5.2 3.1 4.8 (3.8) Number of observed classroomsb 132 297 156 585 Source: Service delivery survey; FMoGE 2008–09 statistical yearbook. a. Government schools only. b. One grade 3, one grade 4, and one grade 5 classroom were observed in each school. Service Delivery and Learning Outcomes in Basic Schools in Three States • 107 Table 5.3 Rural/Peri-urban and Urban Composition of the School Sample, 2009 Percentage of schools Total number State Rural/peri-urban Urban of schools Kassala 43 57 44 North Kordofan 42 58 99 River Nile 52 48 52 Source: Service delivery survey. schools (located outside of the locality center) were grouped together because they are very similar in terms of school characteristics and student learning outcomes.4 CHARACTERISTICS OF GOVERNMENT BASIC SCHOOLS IN THE SAMPLE The characteristics of schools and the classroom environment influence student learning. If schools and classrooms do not have certain mini- mum resources—for example, a teacher present in the classroom and textbooks available—little or no learning will take place. However, even when resources are available, little learning may occur if these are not used effectively. Thus, this section describes the characteristics of the schools and classrooms in the sample schools to provide a picture of resource availability and use across rural/peri-urban and urban schools and across the three surveyed states. Throughout this section, to capture the variation in basic school characteristics and given the nature of the sample, the results are presented separately for each state because direct comparisons across states are not appropriate, and they are presented for rural/peri-urban and urban schools within each state. SCHOOL INFRASTRUCTURE The SDS focused on classroom resources directly related to the learning process. However, the 2008 baseline survey (FMoGE 2008) provides insights into school infrastructure, such as access to water and toilets, which also affect learning, even if indirectly. A total of 54 percent of basic schools in Kassala, 24 percent in North Kordofan, and 76 percent in River Nile received their drinking water from taps; and 11 percent, 32 percent, and 6 percent, respectively, received drinking water from wells. Most schools had toilets, but a large share of these toilets were in need of repair 108 • The Status of the Education Sector in Sudan or replacement, and a large number were only temporary (FMoGE 2008). In basic schools in North Kordofan and River Nile, for example, more than 40 percent of toilets were in need of repair or replacement (FMoGE 2008). SCHOOL AND CLASSROOM ENVIRONMENT As already noted, the classroom environment directly influences student learning. Therefore, the SDS collected data on equipment and learning materials based on classroom observations in each sample school, where three classrooms (one grade 3, one grade 4, and one grade 5) were observed by the enumerators, who then recorded the information. Availability of Equipment and Learning Materials. The chalkboard remains one of the most important tools for teaching in northern Sudan, especially given the lack of textbooks. Table 5.4 presents data on the availability of chalkboards and desks and the condition of the chalkboards. Among the urban sample schools, almost all classrooms had chalkboards: 100 percent in Kassala and River Nile and 97 percent in North Kordofan, but many of these chalkboards were not in usable condition. In Kassala, 9 percent of chalkboards were not usable; in North Kordofan 21 percent and in River Nile 16 percent were not usable. The situation is generally worse in rural and peri-urban schools. Of the observed classrooms, 89 percent in Kassala, 94 percent in North Table 5.4 Availability of Chalkboards and Desks in Observed Classrooms, 2009 percent Classrooms with Chalkboards in usable Students State/location chalkboard conditiona with desk Kassala Urban 100 91 83 Rural/peri-urban 89 83 73 North Kordofan Urban 97 79 34 Rural/peri-urban 94 78 17 River Nile Urban 100 84 64 Rural/peri-urban 98 77 38 Source: Service delivery survey. Note: These data are averages based on observations of one grade 3, one grade 4, and one grade 5 class- room in each school. a. This category is the percentage of chalkboards in usable condition in classrooms that have a chalk- board. Service Delivery and Learning Outcomes in Basic Schools in Three States • 109 Kordofan, and 98 percent in River Nile had chalkboards, but of these chalkboards, 17 percent, 22 percent, and 23 percent, respectively, were not in usable condition. The findings are similar to those of the 2008 baseline survey, which did not distinguish between rural and urban schools but found that more than 40 percent of chalkboards were in need of repair or replacement (FMoGE 2008). Based on the 2009 SDS, on average, 83 percent, 34 percent, and 64 percent of students in urban schools in Kassala, North Kordofan, and River Nile, respectively, had a desk. The shares of students with a desk were lower in rural and peri-urban schools, that is, 73 percent, 17 percent, and 38 percent, respectively. This finding means, for instance, that less than one in five students in the rural/peri-urban sample schools in North Kordofan had a desk and the remaining students sat on a chair without a desk, or on the floor or ground. These results are in line with the 2008 baseline survey, which found that more than 40 percent of students in North Kordofan were seated on the ground (FMoGE 2008). In addition to a usable chalkboard and desks for students, a class- room conducive to learning needs to have textbooks. The official policy on the student–textbook ratio is 2:1 (FMoGE 2008). However, the share of students with textbooks in the observed classrooms in the three sur- veyed states was generally small. Students in observed classrooms in River Nile were more likely to have textbooks, with the average stu- dent–textbook ratio close to 2:1 for mathematics and 1.6:1 for reading, which is in line with or better than the official policy. The average stu- dent–textbook ratio in Kassala was 3:1 for mathematics and 2.5:1 for reading, which is higher than the official policy. Students in observed classrooms in North Kordofan had it the worst: the average student–text- book ratio in rural/peri-urban classrooms was 9:1 and in urban classrooms was 5:1. Considering that education councils also provided textbooks for students in several of these schools (see table 5.5), the higher-than-recom- mended average student–textbook ratios in Kassala and the very high ratios in North Kordofan point to a serious failure of the public education system, with negative consequences for student learning. Another study, based on visits to 71 government basic schools in seven states also documents the lack of textbooks when it found an average student–textbook ratio of 4:1 (EU 2008).That study also discov- ered significant differences in textbook availability across states, with basic schools in River Nile being particularly well provided for in terms of textbooks, similar to the findings of the SDS. In contrast, the vast majority of students in the observed classrooms had other learning materials. In each of the three states and in both 110 • The Status of the Education Sector in Sudan Table 5.5 Availability of Textbooks in Observed Classrooms percent Students in grade 3, 4, and 5 classrooms with textbooks State/location Mathematics Reading Kassala Urban 33 43 Rural/peri-urban 32 39 North Kordofan Urban 11 21 Rural/peri-urban 11 18 River Nile Urban 56 64 Rural 58 61 Source: Service delivery survey. Note: These data are averages based on observations of one grade 3, one grade 4, and one grade 5 classroom in each school. rural/peri-urban and urban schools, between 90 and 99 percent of stu- dents had notebooks for mathematics and reading and had pens and pencils. Unlike textbooks, these learning materials are generally pro- vided by families or education councils. Instruction Characteristics. It is difficult for students to learn without access to textbooks and more challenging for teachers to teach the required syl- labus. To gauge syllabus coverage, the enumerators recorded approxi- mately how much of the syllabus had been covered at the time of their visit, which was at a point about 80 percent into the school year. Thus, 80 percent of the syllabus should have been covered by then. However, teachers in North Kordofan were on strike during the month before the SDS was conducted, which implies a loss of instruction time to be considered when comparing the findings presented in table 5.6. In addition, eight of the sample schools in Kassala started their school year in April rather than June, so were potentially even further behind in terms of syllabus coverage. Average syllabus coverage in mathematics for grade 3, 4, and 5 class- rooms was 76 percent in sample schools in Kassala, 67 percent in North Kordofan, and 78 percent in River Nile. For reading, average syllabus cov- erage was generally somewhat higher but followed the same state and rural/peri-urban versus urban patterns. Going beyond averages reveals notable variations in syllabus coverage across schools. In about half of the schools in Kassala and River Nile, Table 5.6 Syllabus Coverage in Observed Classrooms, 2009 Percentage of schools for which average share Percentage of schools for which average share of mathematics syllabus coverage is of reading syllabus coverage is Average Average mathematics reading syllabus State/location 40–59 60–79 >80 syllabus coverage 40–59 60–79 >80 coverage Kassala Urban 4 52 44 78 4 40 56 79 Rural/peri-urban 11 37 53 74 0 33 67 80 North Kordofana Urban 9 71 18 70 6 59 33 73 Rural/peri-urban 37 51 12 64 33 50 17 66 River Nileb Urban 0 29 67 79 0 16 80 81 Rural/peri-urban 0 48 52 78 7 44 48 78 Source: Service delivery survey. Note: These data are averages based on observations of one grade 3, one grade 4, and one grade 5 classroom in each school. a. In 2 percent of observed classrooms in urban schools in North Kordofan, less than 40 percent of the syllabus had been covered, which is not shown in the table. b. In 4 percent of observed classrooms in urban schools in River Nile, less than 40 percent of the syllabus had been covered, which is not shown in the table. 111 112 • The Status of the Education Sector in Sudan 80 percent or more of the syllabus had been covered at the time of the visits, both in mathematics and in reading (table 5.6). The vast majority of the remaining schools had covered 60–79 percent of the syllabus. Syl- labus coverage was generally lower in rural and peri-urban classrooms than in urban classrooms. For example, 4 percent of urban schools in Kassala had covered only 40–59 percent of the syllabus compared with 11 percent of rural and peri-urban schools. These schools in North Kordofan did even less well, with 37 percent and 33 percent, respec- tively, having covered only 40–59 percent of the syllabus for mathemat- ics and reading, which is low even after taking into account teaching time lost because of the teacher strike. Rural and peri-urban schools are of particular concern because a complete catch-up in terms of syllabus coverage would be nearly impossible. Both the lack of textbooks and the failure to cover the complete syl- labus affect the amount of instruction to which students are exposed.5 Two other factors that also influence exposure to instruction are average class size and student attendance. The average student–teacher ratio for basic education was 31:1 in Kassala, 42:1 in North Kordofan, and 22:1 in River Nile (see chapter 7, on finance). These ratios are below or close to the benchmark of 40:1 for basic education prescribed by the Education for All Fast-Track Initiative, and they are much lower than the average stu- dent–teacher ratios for neighboring countries such as Ethiopia and Kenya (also see chapter 6, on teacher management). However, in many of the sample schools, although student–teacher ratios were relatively low, class sizes tended to be fairly large. The data on class size presented in table 5.7 are based on the enumera- tors’ recording of the number of students present in the three classrooms observed in each sample school on the day of the school visit. Therefore, if many students were absent on the day of the school visit, these class sizes would be smaller than true class sizes. However, the majority of students were present in the majority of schools on the day of the visit, which sug- gests that the class size data provide a fair approximation of actual class size. Generally, class sizes are larger in urban than in rural schools, which makes sense given the lower population density in rural areas. The average class size in the observed classrooms was 55 students in urban sample schools compared with 44 in rural/peri-urban schools in Kassala, 50 in urban schools compared with only 28 in rural/peri-urban sample schools in North Kordofan, and 48 in urban schools and 38 in rural/peri-urban schools in River Nile (table 5.7). That rural class sizes tend to be smaller than urban class sizes is also supported by the findings in the 2008 baseline survey (FMoGE 2008). To Service Delivery and Learning Outcomes in Basic Schools in Three States • 113 Table 5.7 Class Size in Observed Classrooms, 2009 Percentage of observed classrooms with class size of Average State/location 15–34 35–50 51–65 >65 class size Kassala Urban 0 36 44 20 55 Rural/peri-urban 47 11 21 21 44 North Kordofan Urban 26 25 26 23 50 Rural/peri-urban 71 19 10 0 28 River Nile Urban 20 32 32 16 48 Rural/peri-urban 41 44 15 0 38 Source: Service delivery survey. Note: These data are averages based on observations of one grade 3, one grade 4, and one grade 5 classroom in each school. take two extreme examples, no urban sample schools in Kassala had class sizes smaller than 34 students, whereas 47 percent of rural schools did; and in River Nile, 16 percent of urban sample schools had class sizes larger than 65 students, whereas no rural schools did. Student absenteeism reduces the amount of student-teacher contact time, which in turn affects learning (the issue of school functional days is discussed below, and teacher attendance is discussed in chapter 6, on teacher management). Based on the classroom observations, student attendance in the sample schools was high in Kassala and River Nile but lower in North Kordofan, and it was similar across rural/peri-urban and urban schools (table 5.8). Between 92 and 95 percent of students in both rural/peri-urban and urban schools were present on the day of the school visits in Kassala, 84–85 percent were present in North Kordofan, and 98 percent were present in River Nile. Again, the teacher strike in North Kordofan the month before the SDS might have affected attendance if stu- dents and parents were uncertain as to whether the schools were open again after the strike. The 2008 baseline survey investigated student absenteeism by asking teachers what they considered the main reasons for students not coming to school. The most frequently cited reasons were health, bad weather, lack of textbooks, teacher absenteeism, and lack of school uniforms (FMoGE 2008). This finding relates to the issue of the quality of educa- tion. If parents think their children are unlikely to learn while in school (for example, because of the lack of textbooks and teachers being absent), then arguably they are less likely to send them to school. Further study is needed to understand if the observed higher student absenteeism in 114 • The Status of the Education Sector in Sudan Table 5.8 Average Student Attendance in Observed Classrooms, 2009 percent Students present in observed classrooms State/location on day of school visit Kassala Urban 95 Rural/peri-urban 92 North Kordofan Urban 84 Rural/peri-urban 85 River Nile Urban 98 Rural/peri-urban 98 Source: Service delivery survey. Note: These data are averages based on observations of one grade 3, one grade 4, and one grade 5 classroom in each school. North Kordofan may be because of the lower, or perceived lower, quality of education in these schools. SCHOOL MANAGEMENT The previous sections examined the availability of resources in the sam- ple schools, whereas this section examines how the existing resources are used. The data presented here are based on interviews with the head teacher at each of the 195 sample schools. School Functional Days. Directly related to resource management is the number of days a school operates in a year. If a school is closed when it should be open, then students receive fewer teaching hours, with detri- mental results for learning outcomes.6 The official school year in north- ern Sudan is 210 days per year (FMoGE 2008). For reference, the average official school year in primary education across countries is 200 days, with a range of 175–210 days (UNESCO 2007). The average length of the official school year reported by head teachers in the sample schools in the three states lies within the range of 200–214 days. However, these are aver- ages, which means that some head teachers report a notably shorter and others a notably longer school year than the official 210 days. This find- ing suggests that many school heads are not aware of the official policy of 210 school days per year. Service Delivery and Learning Outcomes in Basic Schools in Three States • 115 In the sample schools, the average length of the actual school year is shorter than the official school year in each state. The final column in table 5.9 shows the difference between the official school year of 210 days and the average actual school year. In River Nile, the average number of actual school days is close to the official number of days in both rural/peri-urban schools and urban schools (7 and 5 days’ dif- ference, respectively). But for Kassala and North Kordofan, the average actual school year is substantially shorter than the official school year—about 26 days shorter in Kassala and North Kordofan.7 The 2008 baseline survey also found that the actual school year was shorter than the official school year in the majority of basic schools (FMoGE 2008). Overall, this finding implies that students are missing, on average, more than one month of teaching each year, which has notable implica- tions for student learning outcomes. To ameliorate this situation, poli- cies need to be put into place that clearly communicate official policy on the length of the official school year, make up for lost days, and enable schools to be open as intended. School Record Keeping: Student Enrollment and Performance. To assess resource needs and effectively manage these resources, schools need to Table 5.9 Official and Actual Number of School Days in the Academic Year, State Averages, 2009 Reported number of school days Difference in average official (210 days) State/location Official Actual and actual Kassala Urban 208 186 24 Rural/peri-urban 202 182 28 North Kordofan Urban 211 184 26 Rural/peri-urban 212 184 26 River Nile Urban 210 203 7 Rural/peri-urban 212 205 5 Source: Service delivery survey. Note: These data are based on the responses by the head teachers interviewed in each sample school. 116 • The Status of the Education Sector in Sudan have up-to-date information on students (record keeping on teacher- related issues is discussed in the chapter 6, on teacher management). The majority of sample schools (80–84 percent) were able to show their student enrollment records to the enumerators during the school visits, and there was no notable difference between rural/peri-urban and urban schools in Kassala and River Nile (table 5.10).8 In North Kordofan, 98 percent of rural and peri-urban sample schools could show their records of student enrollment compared with 91 percent of urban sample schools. Many schools also keep records of student performance based on their own continuous assessment of student learning throughout the academic year. School record keeping on student performance was weaker than record keeping on enrollments in North Kordofan and River Nile, and was much weaker in Kassala. In River Nile and North Kordofan, the majority of rural/peri-urban and urban schools (89–95 percent) were able to show their student performance records on the day of the school visits. In Kassala, only 58 percent of the rural/peri-urban sample schools and 76 percent of the urban schools could show their student performance records to the enumerators. Education Councils. The participation of communities and parents in pro- viding support to schools, often through education councils, is strongly Table 5.10 School Record Keeping on Student Enrollment and Performance, State Averages, 2009 percent Schools able to show records of student State/location Enrollment Performance Kassala Urban 84 76 Rural/peri-urban 84 58 North Kordofan Urban 91 88 Rural/peri-urban 98 95 River Nile Urban 80 92 Rural/peri-urban 81 89 Source: Service delivery survey. Note: These data are based on the head teacher in each school showing the relevant records to the enumerator. Service Delivery and Learning Outcomes in Basic Schools in Three States • 117 encouraged by the government. Typically, education councils consist of elected parents, the head teacher, teachers, and selected members from the local community. The main tasks of education councils are to raise and provide funds for school construction and maintenance, teacher housing and supplementary payments, and learning materials, and to determine fees (EU 2008). Table 5.11 presents the main characteristics of education councils in the sample schools. In the three states, 95–100 percent of the sample schools had education councils. Of these education councils, 84–96 per- cent had an executive committee. Most of the committees held one or more meetings during the previous month, indicating that they are very active. This information is further corroborated by the 2008 baseline sur- vey, in which 90 percent of the schools reported that there was coopera- tion between the school and the education council, and 85 percent reported that the education council was effective (FMoGE 2008). Between 50 percent and 75 percent of the sample schools also received financial or in-kind support from the education councils (table 5.11). Education councils buy textbooks and learning materials and help teachers in the classroom. In 15–23 percent of the sample schools, the education council helped teachers in the classroom; in 4–24 percent of schools, the council purchased textbooks; and in 32–72 percent of Table 5.11 Characteristics of Education Councils, State Averages, 2009 percent Executive Schools that Education committees receive support Schools with councils with that held one from education education executive or more meet- State/location council council committee ings last month Kassala Urban 68 100 84 72 Rural/peri-urban 53 100 84 79 North Kordofan Urban 60 98 90 56 Rural/peri-urban 74 95 93 86 River Nile Urban 56 96 88 64 Rural/peri-urban 63 96 96 67 Source: Service delivery survey. Note: These data are based on the responses from the head teachers interviewed in each school. 118 • The Status of the Education Sector in Sudan schools, it bought learning materials (table 5.12). This suggests that in many schools, education councils are complementing insufficient gov- ernment education spending (also see chapter 7, on education finance). In many of the sample schools, education councils supplement teacher salaries. For instance, in North Kordofan, the executive commit- tees helped to pay teacher salaries in 20 percent of the rural/peri-urban sample schools, and in River Nile, it was 15 percent of salaries in rural/peri-urban schools. It is noteworthy that North Kordofan also has a large share of volunteer teachers (see chapter 6, on teacher manage- ment), implying that there may be a teacher shortage in rural schools that is being met by education councils’ paying volunteer teachers to fill the gaps. Education councils may also be topping off salaries to attract teachers to schools in remote areas, but more evidence is needed to bet- ter understand exactly which types of teachers education councils are paying for and why. However, not only do school and classroom resources and their use affect student learning outcomes, but also family background and household characteristics matter. The next section examines household characteristics and learning outcomes based on the data collected by the SDS. Table 5.12 School Support Provided by Educational Councils, State Averages, 2009 percent Schools in which the education councils Help teachers in the Buy Buy learning Pay teacher State/location classroom textbooks materials salaries Kassala Urban 16 16 72 4 Rural/peri-urban 16 11 32 0 North Kordofan Urban 23 14 40 0 Rural/peri-urban 21 24 67 21 River Nile Urban 16 4 44 0 Rural/peri-urban 15 7 56 15 Source: Service delivery survey. Note: These data are based on the responses from the head teachers interviewed in each school. Service Delivery and Learning Outcomes in Basic Schools in Three States • 119 STUDENT LEARNING OUTCOMES The findings in this section are based on the data collected by the student background questionnaire and the learning assessment completed by 20 grade 5 students in each sample school. The section begins by describ- ing the two learning assessments used to test student learning outcomes in the three states. It then presents the findings on learning outcomes for the sample of students before providing an international comparison and examining differences in learning outcomes among boys and girls, respec- tively, in rural/peri-urban and urban schools. Finally, potential reasons at the household level for differences in learning outcomes are explored. ASSESSMENTS AND FINDINGS The learning assessment administered to the students consisted of a math- ematics component with 30 questions and a reading component with 25 questions, which the students were given 90 minutes to complete.9 The mathematics questions were selected from the 1995 and 2003 Trends in International Mathematics and Science Study (TIMSS) grade 4 assessment, and the reading questions were taken from the 1991 and 2001 Progress in International Reading Literacy Study (PIRLS) grade 4 assessment. All ques- tions included in the assessment were reviewed by the SDS Steering Com- mittee to ensure suitability given the national curriculum. An advantage of using questions from the TIMSS and PIRLS is the potential for interna- tional comparisons of student learning achievements. However, students in northern Sudan were assessed in grade 5 instead of grade 4 because the SDS Steering Committee considered it more appropriate given the post- conflict situation, which needs to be taken into account for the purpose of the international comparisons. The average student in the sample for the three states only answered 34 percent of the mathematics and 39 percent of the reading questions cor- rectly (figure 5.1). This is low, especially considering that the questions are multiple choice. With four answer options, if a student simply guessed, he or she would respond correctly 25 percent of the time.10 The lowest scores in both mathematics and reading were zero, and no student answered all questions on either component correctly. Of the 3,893 students who took the learning assessment, the vast majority of students (84 percent for mathematics and 72 percent for reading) answered less than half the ques- tions correctly, further underlining the fact that student learning outcomes are very weak. Finally, in general, students performed better on the reading than on the mathematics component of the learning assessment. 120 • The Status of the Education Sector in Sudan Figure 5.1 Grade 5 Student Learning Assessment Scores in Mathematics and Reading in Kassala, North Kordofan, and River Nile, 2009 percent a. Mathematics scores 10 8 % of students 6 4 2 0 0 20 40 60 80 100 student assessment scores (percent) b. Reading scores 10 8 % of students 6 4 2 0 0 20 40 60 80 100 student assessment scores (percent) Source: Service delivery survey. Table 5.13 shows the summary statistics for the grade 5 student scores on the learning assessment for the each of the three surveyed states. Although the student scores lie within roughly the same 0–96 percent range for all the states, the average scores were highest in Kassala, with Service Delivery and Learning Outcomes in Basic Schools in Three States • 121 Table 5.13 Grade 5 Student Learning Assessment Scores in Mathematics and Reading, 2009 percent Student learning assessment scores Mathematics Reading Standard Standard State Average deviation Lowest Highest Average deviation Lowest Highest Kassala 45 17 3 93 53 21 4 96 North Kordofan 31 13 0 90 31 15 0 92 River Nile 39 15 0 93 45 21 0 96 Source: Service delivery survey. Note: The maximum score is 100 percent (all questions answered correctly). 45 percent for mathematics and 53 percent for reading. These scores compare to 39 percent for mathematics and 45 percent for reading in River Nile, and 31 percent for both mathematics and reading in North Kordofan. However, these scores are simple averages, which do not account for differences in school and classroom resources or for stu- dent background. INTERNATIONAL COMPARISON OF STUDENT PERFORMANCE The learning assessment scores for students in northern Sudan cannot be compared directly with those of students in other countries because the former were assessed using a subset of questions from the full versions of the TIMSS and PIRLS. Instead, to enable an interna- tional comparison, the shares of students in northern Sudan that answered each question on the mathematics component correctly are compared with the corresponding shares of students in Morocco, Singapore, and Tunisia, and on the reading component, compared with the corresponding shares in Benin and Singapore. Not all 30 mathematics questions and all 25 reading questions were used in the learning assessments in these countries. Therefore, figure 5.2 shows only the 24 questions of the mathematics assessment that were asked in Morocco, Northern Sudan, Singapore, and Tunisia; and figure 5.3 shows only the 24 questions of the reading assessment that were asked in Benin, northern Sudan, and Singapore. Figure 5.2 illustrates that students in northern Sudan performed simi- larly to their counterparts in Morocco and Tunisia in terms of the relative number of mathematics questions students answered correctly. However, compared with Singapore, one of the top-performing TIMSS countries, 121 122 Figure 5.2 International Comparison of Student Performance in Mathematics between Morocco, Northern Sudan, Singapore, and Tunisia, 2008–09 100 90 % of students who answered each question correctly 80 70 60 50 40 30 20 10 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 question number northern Sudan Morocco Tunisia Singapore Source: IAEEA 2008; service delivery survey. Figure 5.3 International Comparison of Student Performance in Reading between Benin, Northern Sudan, and Singapore, 2008–09 100 90 % of students who answered each question correctly 80 70 60 50 40 30 20 10 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 question number northern Sudan Benin Singapore Source: IAEEA 2008; service delivery survey. 123 124 • The Status of the Education Sector in Sudan students in northern Sudan performed significantly worse. Moreover, as discussed previously, the learning assessments are geared to grade 4 stu- dents, but the students in the three states in northern Sudan were tested in grade 5, so they had approximately one additional year of schooling. Figure 5.3 compares student performance in the three states of north- ern Sudan with that in Benin, a low-income country, which administered the same reading component to students also in grade 5, and again, Sin- gapore. Similar to mathematics, the results for reading show that tested students in northern Sudan performed significantly worse compared with students in Singapore. But relative to students in Benin, the students in northern Sudan performed better on average. Overall, student perform- ance on the reading assessment is weak and shows low learning levels. STUDENT PERFORMANCE AND INDIVIDUAL CHARACTERISTICS Examining student scores on the learning assessment by gender, we see that girls, on average, perform significantly better than boys, and the stronger performance of girls is more pronounced in reading than in mathematics (table 5.14). That girls perform better than boys (when Table 5.14 Average Student Learning Assessment Scores, by Gender, 2009 percent Student learning assessment scores State/gender Mathematics Reading Kassala Boys 43 51 Girls 47 54 North Kordofan Boys 30 29 Girls 32 33 River Nile Boys 38 43 Girls 40 48 Three-state average Boys 35 38 Girls 37 41 Source: Service delivery survey. Note: The maximum score is 100 percent (all questions answered correctly). Service Delivery and Learning Outcomes in Basic Schools in Three States • 125 they have equal access to education) is a general finding across both developing and developed countries and is generally linked to attitudes toward learning (EFA 2006). To capture the relative wealth of the assessed students’ families, an asset index was constructed based on the students’ responses to which of the following assets were present in their homes: refrigerator, electricity, tap water, TV, radio, computer, mobile phone, gas or electric cooker, and car.11 Figure 5.4 shows the average student scores on the mathematics and reading components of the learning assessment by wealth as meas- ured by the asset index. For both components, students among the rich- est 20 percent performed better on average than students in the middle 60 percent, who in turn performed better than students among the poor- est 20 percent. That is, students from richer households on average tend to perform better in both mathematics and reading than students from poorer households. Another main determinant of student learning is parents’ education. Average student mathematics and reading scores and the education level of fathers are presented in figure 5.5.12 On average, students whose fathers have completed higher education scored better on both the mathematics and reading components, but there is no significant difference in per- formance between students whose fathers have some or have completed basic education and those whose fathers have completed secondary edu- cation, except in River Nile State. The results for mothers’ education level are highly similar to those for fathers’ education level, so they are not shown here.13 Thus, in line with existing studies on learning achievement, the SDS findings indicate that family background variables such as wealth and parental education and household characteristics including location are related to student learning outcomes. SECONDARY EDUCATION EXAMINATION RESULTS This final section of the chapter provides only a brief overview of pass rates for secondary school examinations (which leads to the Sudan Sec- ondary School Certificate) because UNESCO and UNICEF are currently conducting a study on secondary education in northern Sudan. Their results should be able to complement these findings and enable further analysis of this subsector. The total number of candidates from general, vocational, and religious secondary schools sitting for the Secondary School Certificate examinations increased from about 260,000 in 2004 to 363,000 in 2008 (BoSE 2009). In 126 • The Status of the Education Sector in Sudan Figure 5.4 Average Student Performance in Mathematics and Reading, by Household Wealth, 2009 a. Mathematics 50 48% 46% 45 43% 42% average student score (percent) 40 37% 36% 35 32% 30% 31% 30 25 20 15 10 5 0 ala an ile rN of ss rd Ka ve Ko Ri rth No state b. Reading 70 60% 60 52% average student score (percent) 50% 51% 50 42% 40 38% 33% 31% 30 28% 20 10 0 ala an ile rN of ss rd Ka ve Ko Ri rth No state poorest 20% middle 60% richest 20% Source: Service delivery survey. Service Delivery and Learning Outcomes in Basic Schools in Three States • 127 Figure 5.5 Average Student Performance in Mathematics and Reading, by Father’s Education Level, 2009 a. Mathematics 60 50 48% average student score (percent) 43% 43% 44% 40 38% 36% 33% 30% 29% 30 20 10 0 ala an ile rN of ss rd Ka ve Ko Ri rth No state b. Reading 70 60 59% average student score (percent) 51% 50 46% 47% 42% 40 39% 34% 30% 29% 30 20 10 0 ala an ile rN of ss rd Ka ve Ko Ri rth No state some or complete basic education secondary education higher education Source: Service delivery survey. 128 • The Status of the Education Sector in Sudan 2008, 39 percent of the students came from public schools, 21 percent from private schools, 29 percent from Teachers’ Union programs, and 11 percent were “informal” candidates (table 5.15). On average, girls performed better than boys on the examinations. Close to 74 percent of girls passed, compared with 69 percent of boys (BoSE 2009). The average national pass rate was 74–75 percent for stu- dents from public and private schools and for informal candidates, com- pared with 65 percent for students from Teachers’ Union programs, a pat- tern that has remained stable since 2004 (BoSE 2009). The lower average pass rate for students from Teachers’ Union programs is primarily the result of the role served by these schools.14 They tend to cater to students who want to repeat the final grade of the secondary cycle in order to improve their results on the Secondary School Certificate examination and to students who previously failed the examinations while attending one of the other types of schools.15 Table 5.15 Pass Rates for Secondary School Examinations in Northern Sudan, by School Type and State, 2008 School type Teachers’ State Public Private Union Informal Blue Nile 56 75 59 60 Al Qadarif 73 76 69 78 Al Jazirah 76 80 74 87 Kassala 84 64 52 79 Khartoum 84 75 62 69 Northern Darfur 59 83 63 67 North Kordofan 71 76 49 67 Northern 93 75 66 72 Red Sea 62 81 60 66 River Nile 92 84 63 75 Sinnar 76 73 69 81 Southern Darfur 55 62 67 70 South Kordofan 50 63 57 67 Western Darfur 53 65 60 56 White Nile 74 81 65 76 Average 70 74 62 71 Number of candidates 127,459 70,008 102,578 33,183 Source: BoSE 2009. Service Delivery and Learning Outcomes in Basic Schools in Three States • 129 Students from Kassala and River Nile who attended public schools have, on average, higher pass rates than the national average, whereas stu- dents from public schools in North Kordofan have pass rates below the national average. In particular, in Kassala and River Nile, pass rates for stu- dents from public schools were 84 percent and 92 percent, respectively, compared with 64 percent and 84 percent, respectively, for students from private schools. By contrast, in North Kordofan, students from private schools had higher average pass rates than did students from public schools, 76 percent compared with 71 percent, respectively. This finding lends further support to the result from the SDS that students in Kassala and River Nile performed better, on average, than students from North Kordofan on the grade 5 learning assessment. In most states, when pass rates for students from public schools are low (below average), pass rates for private school students are relatively high, and conversely, when public pass rates are high, private school pass rates tend to be lower. This pattern may be an indication that private schools serve to meet the demand for an education that will enable stu- dents to pass the Secondary School Certificate examinations when public schools fail to do so. SUMMARY Based on the data collected by the SDS (2009), student learning levels in the sample schools in Kassala, North Kordofan, and River Nile states are generally low. The findings also highlight the lack of resources in many basic schools and room for improvement in how resources are managed. The results also indicate that family background variables, such as wealth and parental education, are related to student learning outcomes in line with existing evidence. The main findings of the SDS are summarized as follows: • Classroom resources were generally scarce, with shortages of text- books, desks, and functional chalkboards in many of the sample schools. • Textbooks are meant to be provided by the government, but a large share of students in the sample schools did not have textbooks even after education councils purchased them to make up for the shortfalls. • The chalkboard is one of the most important teaching tools, espe- cially given the shortage of textbooks, and most observed classrooms had chalkboards; however, in many cases, they were not in usable condition. 130 • The Status of the Education Sector in Sudan • Many students did not have desks, but instead sat on chairs without desks or on the ground, particularly in rural sample schools. • Most students in all three states had learning materials, such as note- books and pens/pencils. In many of the sample schools, education councils provided support for these learning materials. • Syllabus coverage was low in many of the sample schools, which tends to have adverse consequences for student learning. • Despite the relatively low average student-teacher ratios in the three states, a substantial share of sample schools had large class sizes, which can also affect student-teacher contact time. • Student learning outcomes as measured by the learning assessment for mathematics and reading were generally poor in the sample schools in all three states. • Girls performed significantly better on both the mathematics and reading learning assessments than did boys, and both boys and girls tended to do better on reading. • Students from richer households and whose fathers had completed tertiary education relative to basic or secondary education performed better on the learning assessments, which indicates the importance of household and family background for student performance, in addi- tion to school and classroom environment. ANNEX: PROBABILITY OF STILL BEING IN SCHOOL BY GRADE 8 Table 5A.1 Logistic Regression Results: Probability of Still Being in School by Grade 8, by Location, Income, and Gender, circa 2005 Probability of still being in Dependent variable school by grade 8 (retention) Constant –0.2299 Boy 0.0313*** Urban 0.786*** Wealth quintile 2 and 3 (second-poorest and middle quintile) –0.1469*** Wealth quintile 4 and 5 (richest two quintiles) 0.00328*** Memo items: Age group Ages 15–19 Number of observations 6,950 “R2” (Sommer’D statistic) 0.20 Source: Authors’ analysis of the 2006 Sudan Household Health Survey (GoNU and GoSS 2006). Note: These data apply to those students who have attended grade 1. ***Statistically significant at the 1% level. Service Delivery and Learning Outcomes in Basic Schools in Three States • 131 NOTES 1. The SDS collected a large amount of data. This chapter presents a subset of these data, which are considered highly relevant for student learning outcomes and service delivery in basic education schools in the three states. 2. The 2008 baseline survey on basic education in the northern states of Sudan (FMoGE 2008) surveyed all 15 states, and the main findings of that survey are corroborated and complemented by the findings of the SDS (2009). 3. A total of 3,900 students were interviewed and tested, but 7 were removed because of incorrect student identifiers. 4. Peri-urban and rural schools are similarly resource constrained, but peri- urban schools tend to be larger than rural schools. The number of peri-urban schools in the sample is too small for these to be analyzed separately in a mean- ingful way. 5. This chapter does not deal with the quality of instruction time. 6. This is the case unless schools compensate for lost time. 7. This finding is not affected by taking into account schools that report that they are closed two months or more per year because of inaccessibility. 8. The SDS (2009) did not assess whether the records shown were up-to-date or complete. 9. The same test was used to assess learning achievements of grade 5 students in Benin. 10. On the mathematics component, 25 of 30 questions had four answer options and the rest of the questions had five answer options. On the reading component, all questions had four answer options. 11. For the construction of the asset index, each of the nine assets was assigned a weight equal to the fraction of students who owned the asset. If a student’s home had none of the nine assets, then the asset index was zero. 12. Of the 3,893 students, 66 percent responded to the questions on their father’s education level; therefore, the results should be interpreted with some caution. A larger share of students responded to the question in North Kordofan (77 percent) than in Kassala (62 percent) and River Nile (57 percent). 13. Fewer students answered the question on their mother’s education level than on their father’s education level; therefore, the results on father’s education are presented. 14. Six percent of all students in secondary education are enrolled in Teachers’ Union programs (see chapter 2, on enrollment). 15. It is estimated that about 40 percent of all repeaters in the secondary cycle attend Teachers’ Union programs (see chapter 3, on student flow). REFERENCES BoSE (Board of Sudan Examinations). 2009. “General Results for 2008 Second- ary School Examinations.” Khartoum: Republic of Sudan Board of Sudan Examinations. Case, Anne, and Angus Deaton. 1999. “School Inputs and Educational Outcomes in South Africa.” Quarterly Journal of Economics 114 (3): F1047–84. Das, Jishnu, Stefan Dercon, James Habyarimana, and Pramila Krishnan. 2007. “Teacher Shocks and Student Learning: Evidence from Zambia.” Journal of Human Resources 42: 820–62. 132 • The Status of the Education Sector in Sudan EFA (Education for All). 2006. EFA Global Monitoring Report 2006. Literacy for Life. Paris: United Nations Educational, Scientific, and Cultural Organization. Available at http://unesdoc.unesco.org/images/0014/001416/141639e.pdf EU (European Union). 2008. Cost and Financing Study. European Union. FMoGE (Federal Ministry of General Education). 2008. “Baseline Survey on Basic Education in the Northern States of Sudan: Final Report June 2008.” Khartoum. ———. Various years. “Statistical Yearbooks.” Khartoum Glewwe, Paul, and Hanan Jacoby. 1994. “Student Achievement and Schooling Choice in Low-Income Countries: Evidence from Ghana.” The Journal of Human Resources 29(3): 843–64. GoNU (Government of National Unity) and GoSS (Government of Southern Sudan). 2006. Sudan Household Health Survey (SHHS) 2006. Khartoum/Juba: Central Bureau of Statistics and Southern Sudan Center for Census, Statistics, and Evaluation. IAEEA (International Association for the Evaluation of Educational Attainment). 2008. “Report from Test Administration in Benin.” IAEEA, Hamburg, Germany. Mingat, A., and K. Majgaard. 2010. Education in Sub-Saharan Africa: A Comparative Analysis. Washington, DC: World Bank. UNESCO (United Nations Educational, Scientific, and Cultural Organization). 2007. Education Counts: Benchmarking Progress in 19 WEI Countries: World Education Indicators. Paris: UNESCO. CHAPTER 6 Teachers his chapter provides an overview of the status of teachers in northern T Sudan. The first section profiles teachers and includes total numbers, types of teachers, gender, qualifications, and training. Next is a descrip- tion of how teachers are recruited, deployed, and utilized. The chapter then examines teacher supervision, including school record keeping of time and attendance. Information is provided on teacher remuneration and incen- tives before the chapter ends with a summary of the main conclusions. The three sources of data for this chapter are (a) the federal Ministry of General Education (FMoGE) statistical yearbooks for 2000–09; (b) data collected from state visits (excluding the two Darfur states); and (c) the service deliv- ery survey (SDS) conducted in Kassala, North Kordofan, and River Nile states in 2009, which was referred to in chapter 5. PROFILE OF TEACHERS IN NORTHERN SUDAN The performance of teachers is one of the most important determinants of student learning outcomes. Evidence shows that students of better teachers consistently achieve better learning outcomes (Hanushek and others 2003; Rivkin, Hanushek, and Kain 2005; Vegas and Umansky 2005). Given this fact, the effective functioning of the system for manag- ing teachers in terms of recruitment, deployment, utilization, remunera- tion, and supervision is critical to the efficiency and performance of the education sector. NUMBERS OF TEACHERS A total of 94 percent of public education sector staff in 13 states of north- ern Sudan are school based. Teachers constitute the main staff category 133 134 • The Status of the Education Sector in Sudan across all levels of education, but there are also nonteaching staff, such as administrators and inspectors, as well as drivers, guards, and janitors. To provide a complete picture, table 6.1 includes the numbers for all staff categories in the public education system in the 13 states. In total, there are 216,824 education staff on the government’s payroll and 17,458 national service, or volunteer, teachers.1 The composition of education staff differs across education levels. At the preschool level, government teachers account for 62 percent of total staff, and national service and volunteer teachers account for 33 percent (figure 6.1). Literacy programs have an ever-larger share of national serv- ice and volunteer teachers (64 percent), with government teachers accounting for only 27 percent of total staff. In basic education, by contrast, government teachers account for 80 percent of all staff. Government nonteaching staff constitute 12 percent of all staff, whereas non-school-based staff and national service and vol- unteer teachers compose 4 percent each. Similarly, at the secondary level, 4 percent of staff are national service and volunteer teachers, and 6 percent are non–school-based staff. Government teachers are the largest group (63 percent), followed by government nonteaching staff (27 percent). GENDER The teaching profession for basic education in northern Sudan com- prises mainly female teachers, who account for roughly two-thirds of Table 6.1 Numbers of Education Staff in Northern Sudan, by Education Level, 2009 School based Total education (a) Central staff on and (b) Govern- (d) National government decentralized ment (c) Govern- service and Total Education payroll education nonteaching ment volunteer teachers level (a)+(b)+(c) staff staff teachers teachers (c) + (d) Preschool 9,592 444 327 8,821 4,196 13,017 Basic 153,010 8,415 18,486 126,109 5,388 131,497 Secondary 50,857 3,790 13,515 33,552 1,964 35,516 Literacy programs 3,365 756 110 2,499 5,910 8,409 Total 216,824 13,405 32,438 170,981 17,458 188,439 Source: FMoGE 2008–09 statistical yearbook; state visits. Note: Southern Darfur and Western Darfur are not included. Teachers • 135 Figure 6.1 Types of Staff in Northern Sudan, by Education Level, 2009 100 4% 4% 90 33% 80 70 64% 63% 60 percent 80% 50 40 62% 30 20 27% 27% 10 12% 1% 3% 6% 8% 0 3% 4% preschool basic secondary literacy program education level central and decentralized education staff government nonteaching staff government teachers national service and volunteer teachers Source: Staff estimates based on state data. the workforce (67 percent), as shown in figure 6.2. Female teachers con- stitute more than 60 percent of teachers in most states. The exceptions are South Kordofan, which has an equal number of male and female teachers, and Western Darfur and Northern Darfur, which have 54 per- cent and 57 percent female teachers, respectively. This finding could indicate that the teaching profession, at least with regard to basic edu- cation, is not as attractive to men as to women; men may find better earning opportunities in other professions. For women, however, the teaching profession seems to be quite attractive. Research shows that the presence of more female teachers in schools has a positive influence on attracting girls to schools. In secondary education, female teachers constitute 56 percent of the teaching workforce in northern Sudan, as shown in figure 6.3. Some potential reasons why secondary education, compared with basic educa- tion, is able to attract more male teachers are the following: (a) average salaries for government secondary education teachers are higher than those for basic education and are possibly more competitive with other professions; and (b) fewer female teachers may be qualified to teach sec- ondary education.2 Interestingly, all three Darfur states have fewer female than male secondary education teachers (40 percent female secondary teachers in Northern Darfur, 33 percent female in Southern Darfur, and 22 percent female in Western Darfur). Al Qadarif and South Kordofan also have fewer female than male secondary education teachers, with 48 percent and 42 percent female teachers, respectively. 136 • The Status of the Education Sector in Sudan Figure 6.2 Percentage of Female and Male Teachers in Basic Education in Northern Sudan, by State, 2009 100 90 25% 29% 27% 31% 31% 35% 29% 80 38% 34% 33% 39% 37% 33% 43% 46% 50% 70 60 percent 50 40 75% 71% 73% 66% 67% 69% 69% 65% 71% 67% 30 62% 57% 61% 63% 50% 54% 20 10 0 le h ala um r an n a ile r an r r ile n rif rfu rfu na rfu Se ira er da Ni da rN eN of of ss to rth Sin Da Da Da Su z d rd rd ue Qa Ja Ka ar ve Re hit No Ko Ko n n rn rn Bl Kh Al Ri Al er er W he te rth h rth rth es ut ut No no No W So So state female male Source: FMoGE 2008–09 statistical yearbook. Figure 6.3 Percentage of Female and Male Teachers in Secondary Education in Northern Sudan, by State, 2009 100 80 38% 36% 43% 33% 39% 35% 46% 52% 47% 41% 48% 44% 60% 58% 67% 60 78% percent 40 62% 64% 57% 67% 61% 65% 54% 48% 53% 59% 52% 56% 20 40% 42% 33% 22% 0 le h ala rth toum r an n a ile r an r r ile n rif rfu fu na rfu Se ira er da Ni da rN eN of of ar ss rth Sin Da Da Su az d rd rd ue Qa D Ka ar ve Re hit No J Ko Ko n n rn rn Bl Kh Al Ri Al er er W he te rth h rth es ut ut No no No W So So state female male Source: FMoGE 2008–09 statistical yearbook. Teachers • 137 TEACHER QUALIFICATIONS AND TRAINING In 1993, the preservice qualification for basic education teachers was revised from a two-year teaching diploma to a four-year bachelor of edu- cation (B.Ed.) degree. The two-year diploma course was offered by a net- work of 73 in-service education training institutes (ISETI) across northern Sudan. Teachers attended the institutes one day per week and taught in the schools for the remainder of the work week. Funding for the ISETI diploma ceased in 1993, and the staff of the larger training institutes were absorbed into the universities as faculties of education, which would ulti- mately be responsible for qualifying basic education teachers through the B.Ed. degree. The preservice qualification for a secondary school teacher in northern Sudan is a four-year bachelor of education (B.Ed.) degree offered by fac- ulties of education in universities. These faculties are responsible for developing both the content of the training and the accreditation process for teachers in secondary schools. As part the education sector reform in 1993, responsibility for preservice teacher training was transferred from the Ministry of General Education (MoGE) to the Ministry of Higher Education and Scientific Research (MoHESR). At the time, few students were enrolling in the B.Ed. degree pro- gram, and even fewer were successfully graduating and eventually teaching. This situation may have occurred because teachers were still being hired regardless of whether they had a B.Ed. In addition, the relatively high cost to students (both fees and opportunity costs) resulted in low numbers enrolling and eventually teaching (UNICEF 2008). In 2003, the Sudan Open University (SOU) introduced a partial B.Ed. degree course for teach- ers who were in service and had no B.Ed. The SOU also introduced a one- year diploma in education for graduates of other disciplines. By 2004, the MoGE stopped funding teachers through faculties of education and funded them solely through the SOU. In 2008, it was estimated that only 10 percent of basic education teachers were officially qualified, though these numbers have presumably increased since the graduation of three years of B.Ed. students, from 2008 through 2010 (UNICEF 2008). Assuming that 75 percent of the teachers admitted completed the course, the estimated number who would have graduated with a B.Ed. from the SOU by the end of 2010 is a little over 56,000 (see table 6.2), which is about 31 percent of the total number of teachers in northern Sudan and does not include those who already had a B.Ed. from the faculties of education. 138 • The Status of the Education Sector in Sudan Table 6.2 Sudan Open University Bachelor of Education Degree Output, 2008–12 Number or estimated number due to Year of intake Number admitted graduate (year of graduation) 2003 6,006 4,547 (2008) 2004 14,645 10,984 (2009) 2005 53,983 40,487 (2010) 2006 15,560 11,670 (2011) 2007 8,379 6,284 (2012) Source: FMoGE 2008. The 2008–09 FMoGE statistical yearbook does not capture the num- ber of teachers who are qualified according to the B.Ed. requirement, though it does disaggregate teachers by those who received education training (through the ISETI diploma, Sudan Open Learning Organization Teacher Assistance Course, or the B.Ed.), who are considered trained, and those who did not receive any teacher training, who are considered untrained.3 It should be noted that untrained teachers could include indi- viduals who have a university degree that is not focused on education, for example, a bachelor or master of science. As figure 6.4 illustrates, 38 percent of the teachers in northern Sudan had not received any formal education training in 2009. Only a subset of those classified as trained had earned the prerequisite B.Ed. degree. Notably, 82 percent of the teachers in Western Darfur were considered trained, though it is not known what percentage of these teachers had the minimum requirement of the B.Ed. degree. Blue Nile had the highest per- centage of untrained teachers (73 percent), while Al Qadarif, Kassala, and Southern Darfur had approximately 50 percent untrained teachers. Figure 6.5 shows the academic qualifications and preservice training of the 819 full-time government teachers in service delivery survey. Across the three states studied (Kassala, North Kordofan, and River Nile), the most common qualifications and training were the following: com- pletion of secondary school only, 7–38 percent; attainment of a bache- lor of arts (B.A.) or bachelor of science degree (B.Sc.), 11–26 percent; and attainment of a B.A. or B.Sc. degree and a B.Ed. degree, 9–37 percent. There were some differences across regular teachers in rural and urban schools. Two general observations are worth noting. First, there is an age effect: older teachers, who were trained before the new B.Ed. policy was introduced, did not have a B.Ed. (unless they had gone back to a univer- sity). Second, in the sample, it was primarily regular teachers with a B.A. or B.Sc. who also had a B.Ed. Teachers • 139 Figure 6.4 Percentage of Trained and Untrained Teachers in Northern Sudan, by State, 2009 100 17% 18% 33% 29% 29% 80 43% 39% 49% 42% 38% 50% 53% 51% 43% 48% 60 73% percent 40 83% 82% 67% 71% 71% 62% 50% 57% 61% 51% 58% 49% 57% 52% 20 47% 27% 0 ile ah ala um r an n a he Nile r an r r ile n rif rfu rfu na rfu Se er da da N eN zir of of ss rto rth Sin Da Da Da Su d rd rd ue r Qa Ja Ka ve Re hit a No Ko Ko n n rn rn Bl Kh Al Ri Al er er W te rth h rth rth es ut ut No no No W So So state trained untrained Source: FMoGE 2008–09 statistical yearbook. Figure 6.5 Full-Time Government Teachers’ Academic Qualifications and Preservice Training in Kassala, North Kordofan, and River Nile States, 2009 40 35 30 % of regular teachers 25 20 15 10 5 0 academic secondary B.A./B.Sc. academic secondary B.A./B.Sc. secondary B.A./B.Sc. other diploma and and and and and B.Ed. teaching teaching teaching B.Ed. diploma diploma diploma qualifications and training Kassala North Kordofan River Nile Source: Service delivery survey. Note: The number of regular teachers in the service delivery survey was 819. 140 • The Status of the Education Sector in Sudan It appears that the opportunities for additional qualifications had pri- marily been provided to teachers who had already earned a university degree. This situation begs the questions, What professional development opportunities are available for teachers with less than a university degree (for example, those with a secondary education or those with an aca- demic diploma), and can the education system sustain training, hiring, and retaining teachers with a high level of qualifications in the short to medium term? Although funding from the government for ISETIs was severely reduced after the 1993 reforms, ISETI headquarters in the FMoGE and its state branches continue to organize in-service training courses. Apart from the 36-day certificate course, training courses are generally between 3 and 14 days and focus on informing teachers about curricula changes, as well as specific subjects. The responsibility for funding in-service training is decentralized to the states, but the United Nations Children’s Fund (UNICEF) and the multidonor-financed Basic Education Project make significant contributions in this regard. TEACHER RECRUITMENT, DEPLOYMENT, AND TRANSFER In northern Sudan, the process of forecasting teacher requirements (regular, full-time, government school teachers) is based on assess- ments of the situation in each school and the level of financing avail- able. The service delivery survey in Kassala, North Kordofan, and River Nile found that head teachers were requested to assess the need for additional teachers in their own schools and to submit a request to the local government for basic education schools and to the state govern- ment for secondary schools. Based on these requests and the availabil- ity of funding, a committee comprising state and local representatives conducted annual reviews to determine the number of new recruits. Decisions on transfers were made by the same committees during the annual meeting. The recruitment and transfer of teachers for secondary education is the responsibility of the state government. However, these tasks for basic education are the responsibility of either the state or the local govern- ment, and the decision as to which one depends on the capacity of the local government as well the state’s willingness to devolve responsibility to the locality. The recruitment of volunteer teachers is the responsibility of the education council because the council covers the costs for these teachers. Although information on the number of volunteer teachers is Teachers • 141 captured within the FMoGE statistical yearbooks, it is unclear whether this information is complete. The link between the number of students and the number of teachers in schools is weak, which indicates that factors other than student enroll- ment influence teacher deployment. One would expect that as the number of students in a school increases, so too would the number of teachers. However, this is not always the case in northern Sudan. For example, looking at line A in figure 6.6, the number of teachers at schools with about 450 students ranges from 5 to 33. Line B indicates that the number of students enrolled in schools that employ 10 teachers ranges from less than 100 to more than 1,200. Khartoum State has the greatest variation in the deployment of teach- ers, which means that there is a very weak correlation between the number of teachers deployed in the schools and the number of students enrolled. This is often the case in capital cities, where there is generally an oversupply of teachers because of their preference to work in urban areas. The scatterplot in figure 6.7 shows the relationship between number of teachers and student enrollments for Red Sea State. In Red Sea State, the number of teachers is more closely correlated to the number of students enrolled. Figure 6.6 Number of Teachers in Relation to Student Enrollment in Basic Education Schools in Northern Sudan, 2008–09 40 A R2 = 0.513 35 30 number of teachers 25 20 15 10 B 5 0 0 300 600 900 1200 1500 student enrollment Source: The data are based on the FMoGE 2008–09 statistical yearbook and state visits. Note: R2 measures the extent to which the number of teachers in a school is proportionate to the size of its enrollment. If the number of teachers deployed to a school is perfectly proportionate to the size of enrollment, then R2 will be equal to one. Conversely, an R2 of zero would indicate that there is no rela- tionship between the number of teachers deployed to a school and the number of students enrolled in that school. 142 • The Status of the Education Sector in Sudan Figure 6.7 Number of Teachers in Relation to Student Enrollment in Basic Education Schools, Red Sea State, 2008–09 40 R2 = 0.6082 number of teachers 30 20 10 0 0 500 1,000 1,500 student enrollment Source: The data are based on the FMoGE 2008–09 statistical yearbook and state visits. Note: The number of schools in Red Sea State is 369. Figure 6.8 shows that northern Sudan is among the weakest compared with other countries in the region with regard to effectively deploying teachers according to student enrollment. Whereas 49 percent of northern Sudan’s teachers are deployed based on factors other than student enroll- ment, countries such as Mozambique, Senegal, and Zambia are doing much better, with less than 20 percent of teachers so deployed. The only countries faring worse than northern Sudan in this instance are Burundi and Liberia. In northern Sudan, structural factors influence the deployment of teachers. These factors include the following: • Subject specialization. Teachers are required to specialize in a particular subject from grade 3 onward. This specialization means that instead of having one teacher who covers all subjects, the students have different teachers for each subject. Teachers are therefore deployed partly based on the needs of a school for subject specialists. • Family status and living conditions. Female teachers are required to be posted close to their spouses; therefore, their deployment is based on where their spouse lives. Further, women will be posted to rural areas only if there are adequate accommodations. Given that 67 percent of teachers in basic education schools are women, these two criteria cre- ate a significant bottleneck in deploying teachers to the rural areas. • Health status. Teachers can request to be posted near a functioning health facility if they suffer from hypertension or diabetes, or if they are pregnant. Depending on the severity of the condition, this criterion may also favor deployment of teachers to urban areas, where health services are more readily available or of higher perceived quality. 143 Sã o To m Figure 6.8 éa percent nd 0 10 20 30 40 50 60 Pr ínc ipe M ui G oz ne am a biq Na ue m ib Le ia so th o Ni ge Gu Sen r ine eg a- al Bi ss a Za u m b R ia Bu wa Ce rk n nt ina da ra M Fa lA s fri auri o ca ta n nia Re Source: The data are compiled from various World Bank country status reports. pu bl Ga ic bo n M M ad al ag i as ca Gh r an E a country Sie thio rra pia Cô Leo te n d’ e Ivo ire Ch Ug ad an da International Comparisons: Randomness in Teacher Allocations in Basic Education, by Country Co To ng go o, Co Re ng p o, Be . De ni m n .R e M p. Ca alaw m i er oo Bu n ru nd Lib i er no ia rth er n Su da n 144 • The Status of the Education Sector in Sudan • Decentralization of deployment decisions. The decentralization of recruit- ment and transfer decisions to the state and local levels makes the deployment of teachers across states difficult to implement. This is because the federal level is not part of the informal review meetings of the committees at the state level, so there is no formal mechanism to coordinate transfers and recruitment across states. TEACHER UTILIZATION For basic education, the average student-teacher ratio (STR) in northern Sudan is 34:1 (national service and volunteer teachers not included), though there is notable variation in STRs at the state level (see table 6.3 and annex tables at the end of chapter 7). The Education for All Fast-Track Initiative benchmark STR is 40:1 for basic education in Sub-Saharan Africa, though STRs are not a good measure of the human resources investment in education for northern Sudan given that teachers are sub- ject specialists from grade 3 onward. The average STR for preschool is 85:1 for northern Sudan, though the variation across states is extremely large, ranging from 18:1 in Northern State to 198:1 in Red Sea State. High STRs explain the reliance of preschools on national service and volunteer staff, both of which account for a third of all education staff within this subsector. For secondary edu- cation, the average student-teacher ratio is 16:1 for both the academic and the technical tracks, with a small degree of variation across states (stan- dard deviations of 4 and 5 for the academic and the technical tracks, respectively). STRs are not the same as class size. The relationship between STRs and average class size is affected by many factors including the num- ber of classes or students for whom a teacher is responsible, the num- ber of hours that a student attends class each day, the length of a teacher’s working day, the division of a teacher’s time between instruc- tion and noninstructional activities (that is, planning or preparing instruction), and whether a school runs multiple shifts with the same teachers (UNESCO 2007). CLASS SIZE The average class size for basic education in northern Sudan is approxi- mately 48 students per class, according to the FMoGE 2008–09 statisti- cal yearbooks. Available empirical studies show that class sizes within the range of 30–60 students per teacher have a relatively equal level of Teachers • 145 Table 6.3 Student-Teacher Ratios in Northern Sudan, by State, 2009 Student-teacher ratios Secondary State Preschool Basic Academic Technical Northern 18 17 10 11 River Nile 175 22 13 10 Khartoum 15 30 16 21 Al Jazirah 25 30 17 16 Blue Nile 71 24 7 8 Sinnar 31 33 13 13 White Nile 75 30 17 18 North Kordofan 76 42 16 12 South Kordofan 153 39 22 26 Northern Darfur 60 47 18 14 Southern Darfur 64 44 20 15 Western Darfur 195 64 23 21 Red Sea 198 27 18 14 Kassala 76 31 14 23 Al Qadarif 47 38 16 14 Average 85 34 16 16 Standard deviation 63 12 4 5 Source: FMoGE 2008–09 statistical yearbook. student learning (Behaghel and Coustère 1999; Bernard 2003). Classes with fewer than 30 students do tend to produce better learning outcomes, but such small class sizes are uncommon and financially unsustainable in most countries in Sub-Saharan Africa (World Bank forthcoming). Class sizes above 60 students, however, tend to have a negative impact on student learning. Class sizes for basic education vary according to school type and grade. Schools for internally displaced persons (IDPs) have an average of 92 students per class, whereas village schools have an average of 30 students, and nomadic schools 33 students, per class (see table 6.4). The average class size also decreases in the higher grades, except in IDP and village schools. Within small schools, such as village and nomadic schools, which have correspondingly small class sizes, the practice of subject specialization by teachers is inefficient, and in many cases, it may not be possible given the potentially insufficient numbers of teachers in 146 • The Status of the Education Sector in Sudan those schools. In order to deal with this issue, village and nomadic schools are multigrade, which means that teachers require special skill sets and different teaching materials. It is not clear whether there is additional or differentiated training for teachers who work within nomadic and village schools in northern Sudan. INSTRUCTIONAL TIME The official instructional time for basic and secondary students is 25 hours per week. Given that the official number of school days in the academic year is 210 in northern Sudan, this information can be translated into approximately 1,050 hours of intended instructional time for basic and secondary education students per year. However, actual instructional time is significantly less than the official number of hours. The average weekly number of instructional hours by teachers is 17 for northern Sudan, which translates into about 714 actual instructional hours annually.4 This figure means that students receive an average of 336 hours less instructional time annually than what is offi- cially sanctioned. There may be several reasons for this loss in actual Table 6.4 Average Class Size in Northern Sudan, by School Type and Grade, 2008–09 Average class size (number of students per form) Grade Boys Girls Co-ed Villagea IDPb Nomadicc 1 53 52 45 32 86 37 2 52 52 44 32 90 32 3 52 52 45 28 88 29 4 53 51 44 26 91 29 5 52 50 45 43 93 36 6 50 48 44 n.a. 94 31 7 50 47 42 n.a. 114 26 8 47 45 40 n.a. 87 26 Average grades 1–8 51 50 44 30 92 33 Source: FMoGE 2008–09 statistical yearbook; authors’ calculations. Note: IDP = internally displaced person; n.a. = not applicable. a. Village schools are only for grades 1–5 and are only in North Kordofan and South Kordofan states, according to the FMoGE statistical yearbooks. b. IDP schools are only in Northern, Northern Darfur, Southern Darfur, and Western Darfur states. The three IDP schools located in Northern State are excluded here because they have notably smaller class sizes than do the IDP schools in the three Darfur states. c. There are nomadic schools in all but Khartoum and Al Jazirah states. In some states, nomadic schools do not cover all grades. Teachers • 147 Table 6.5 Number of Hours Taught by Teachers in Different Salary Scales Teacher salary scale Hours to be taught per week 2 and 3 5 4 and 5 7.5 8 10 9 15 10, 12, and 14 25 Source: State visits. instructional time, such as school closures because of weather conditions, which is common during the rainy and extremely hot seasons in parts of Sudan, as well as teacher absenteeism, in-service teacher training, strikes, conflict, or the use of schools as polling stations. In addition, senior teachers spend less time teaching compared with junior teachers. Table 6.5 shows the salary scales of teachers and the num- bers of hours they are expected to teach per week. Teachers in the highest salary scales (2 and 3) are expected to teach about 5 hours per week, whereas teachers in the lowest salary scales (10, 12, and 14) are expected to teach about 25 hours per week. Senior teachers are expected to do administrative and managerial work with the balance their time. Given that teachers on higher salary scales are presumably more experienced and that more experienced teachers teach fewer hours, it follows that less- experienced teachers would be teaching the lower basic education grades (grades 1–2) because there is one teacher per class for the entire day. SCHOOL RECORD KEEPING: TEACHER LEAVE AND TIME/ATTENDANCE The options for leave for teachers in northern Sudan are extensive. Teach- ers follow the civil service leave guidelines, which specify the following entitlements: • Special leave without pay: 1 month • Feeding leave: 1 hour leave per day for 2 years • Sick leave: 3–7 days • Social leave: 15 days • Funeral leave: 3 days • Local leave: not to exceed 7 days during the year • Leave for religious purposes (Haj or Omra): 1 month once during his or her life in service 148 • The Status of the Education Sector in Sudan • Leave to represent northern Sudan in international conferences and delegations: not to exceed the period stated • Leave for union members for union activities: not to exceed 30 days • Maternity leave: 1. 8 weeks with full pay at delivery 2. 1 year with basic salary 3. 2 years without pay, and it can be divided • Widow leave: 1. 4 months and 10 days if not pregnant with full pay 2. If pregnant, will be given the 4 months and 10 days, and if she delivers a baby before the end of the period, the leave will end and she will be entitled to maternity leave • Sick leave up to 1. First 6 months with full pay 2. Next 6 months with half pay (terms and conditions apply) • Sick leave outside the country: case-by-case basis • Leave to accompany sick member of employee’s family: up to 90 days with full pay; after which the employee can take leave without pay (terms and conditions apply) • Work injury leave (terms and conditions apply): case-by-case basis According to the service delivery survey, the average number of days taken for personal leave (all types) by school for the six months prior to the survey was 30 in Kassala, 17 in North Kordofan, and 18 in River Nile (figure 6.9). Within the personal leave category, the largest num- ber of days were taken for sick leave in all three states. Other reasons for personal leave included family illness, emergencies, and social events. The reported average official leave during six months in 2009 was lower: 15 days in Kassala, 13 days in North Kordofan, and 6 days in River Nile. For official leave, the most common reasons were the fol- lowing: training in Kassala and River Nile, and to collect salary in North Kordofan. Many schools do not maintain adequate leave records, or any other records, for teachers. Given the large number of leave days teachers are taking, it is important that leave records are properly maintained to ensure accountability. However the service delivery survey shows that only 37 percent of rural schools and 76 percent of urban schools in Kassala kept leave records. In North Kordofan, 79 percent of rural and 70 percent of urban schools were able to show their records on teacher leave, and in River Nile, the corresponding shares were 70 percent for rural schools and 68 percent for urban schools. Teachers • 149 Figure 6.9 Average Number of Leave Days by Purpose over Six Months in Kassala, North Kordofan, and River Nile States, 2009 a. Personal 16 15 14 12 10 number of days 10 10 8 6 5 5 5 4 4 3 2 2 2 2 2 0 s s y s es es nt nc ve kn kn ge le sic sic er cia em ily so m fa purpose b. Official 12 10 10 8 number of days 7 6 4 4 2 2 2 2 2 2 1 1 0.2 0.4 0 s ry s ng tie tie ala ini du du s tra ct ive ial lle fic at co of str ini m purpose ad Kassala North Kordofan River Nile Source: Service delivery survey. Note: These data are based on the responses by the head teachers interviewed in each school. However, most rural and urban schools in Kassala and North Kordo- fan recorded when teachers arrived and departed, whereas less than half of the rural schools in River Nile kept similar records (table 6.6). In River Nile, a much smaller share of schools was required to keep such time and 150 • The Status of the Education Sector in Sudan Table 6.6 School Record Keeping in Kassala, North Kordofan, and River Nile States State Averages, 2009 percent Schools able to show Schools where teachers records of must report Teacher When When Teacher arrivals/ arriving at departing Country/location leave departures school school Kassala Urban 76 88 96 92 Rural 37 84 89 89 North Kordofan Urban 70 96 98 98 Rural 79 95 100 98 River Nile Urban 68 44 48 44 Rural 70 67 74 74 Source: Service delivery survey. Note: These data are based on the head teacher in each school showing the relevant records to the enumerator. attendance records: 44–48 percent of urban schools and 74 percent of rural schools required teachers to report their arrival and departure times. In line with this reporting requirement, 44 percent of urban schools and 67 percent of rural schools in River Nile were able to present their teacher arrival/departure records. TEACHER SUPERVISION Management control and oversight are necessary to establish account- ability by teachers and thereby improve their performance. Real accountability hinges on having well-defined standards and adequate information about performance in education provision to enable pol- icy makers and program administrators to improve service delivery (Lewis and Pettersson 2009). In northern Sudan, the ratio of regular teachers to inspectors is 36:1 for basic education and 41:1 for second- ary education (see data in table 6.7). In northern Sudan, teachers are supervised by head teachers, education councils, and local or state (depending on the available capacity) inspec- tors. However, supervision by the local or state inspectors is the main avenue for promoting or disciplining teachers, though the inspectors seek Teachers • 151 Table 6.7 Number of Teachers, Inspectors, Volunteers, and National Service Staff in Basic and Secondary Education, by State, 2009 Secondary education Basic education (academic and technical) Volunteers Volunteers and national and national State Teachers Inspectors service Teachers Inspectors service River Nile 8,128 211 177 2,565 50 77 Sinnar 6,778 162 0 1,971 50 0 Kassala 5,367 120 536 1,191 29 0 White Nile 10,239 247 1430 2,326 79 620 Al Jazirah 22,309 538 1430 7,810 84 620 Al Qadarif 5,708 102 226 1,444 30 110 Blue Nile 5,203 92 650 1,340 30 350 Red Sea 3,677 116 226 717 10 110 Khartoum 25,188 886 536 7,027 308 0 North Kordofan 12,360 326 177 2,453 64 77 South Kordofan 6,846 211 0 1,205 32 0 Northern 6,741 194 0 1,808 17 0 Northern Darfur 7,565 330 1,695 0 Southern Darfur 8,679 235 1,755 Western Darfur 4,315 117 613 Total 139,103 3,887 5,388 35,920 783 1,964 Source: FMoGE 2008–09 statistical yearbook. input from head teachers in their reports. The inspectors are former teachers, often approaching retirement age, and are attached to state or local education units; where administration units exist, some inspectors are organizationally located at that level. Across states in both basic and secondary education, teachers are supposed to be monitored two to four times per year by the state or inspector. Inspectors supervise the performance only of regular teachers, whereas volunteer or national service and part-time teachers are generally supervised by the education councils, which use different standards. This divide is of particular con- cern in preschool, where more than a third of teachers are volunteers or national service staff. The majority of teachers in the service delivery survey were regu- larly monitored by inspectors during the course of the year. The study indicates that 90 percent of regular teachers in basic schools in River 152 • The Status of the Education Sector in Sudan Nile, 89 percent in North Kordofan, and 71percent in Kassala were vis- ited by state or local inspectors within the last three months during 2009 (see figure 6.10). However, the study did not reach many remote rural schools. Evidence from other countries shows that costs related to time and transport restrict regular supervision of teachers in remote schools. Inspectors use supervision instruments to rate teachers on a scale based on technical aspects, as well as other facets that can influence teaching and learning in the classroom. The ratings are based on inspector observation of teachers. In some states, however, the super- vision is more participatory because it includes a self-evaluation by the teacher. In River Nile State, 60 percent of the supervision instru- ment is completed by the inspector, and the balance is completed by the head teacher. Depending on the state, 68–80 percent of teachers surveyed in the service delivery survey were also visited by head teachers within the month prior. As for education council supervision, 38–58 percent of the regular teachers had received a visit within the last month. However, it is not clear what role education council supervision plays in terms of teacher promotions, transfers, and training. Figure 6.10 Local Supervision: Visits to the Teachers in Kassala, North Kordofan, and River Nile States, 2009 percent 70 62% 58% visited by locality official 60 % of regular teachers 50 40 37% 34% 31% 28% 30 24% 20 10 7% 5% 5% 6% 4% 0 s r th s ve th th on on ne on m m m 1 2 3 –1 st st pa 6 pa st pa visit Kassala North Kordofan River Nile Source: Service delivery survey. Teachers • 153 TEACHER SALARIES AND MOTIVATION The average annual salary for government teachers in 2009 was 5,300 Sudanese pounds (SDG) for preschool, SDG 6,700 for basic educa- tion, SDG 8,200 for secondary school, and SDG 5,150 for literacy pro- grams, as indicated in chapter 7, on education finance. Because there are no data on the salary levels of other civil servant professionals, it is not possible to assess teachers’ incomes relative to similarly quali- fied civil servants. The service delivery survey found that most regular teachers were paid their full salaries in the month preceding the survey. Figure 6.11 shows that 94 percent and 96 percent of regular teachers in Kassala and River Nile, respectively, received their full salaries. However, only 47 percent of regular teachers in North Kordofan received their full salaries in the month preceding the survey.5 Payments for part-time and volunteer teachers did not seem to be as consistent as payments for regular teachers, with volunteers having it the worst. This could be because part-time and volunteer teachers generally rely on communi- ties for their payments, whereas regular teacher salaries are funded by the government. Figure 6.11 Payment of Teacher Salaries in Kassala, North Kordofan, and River Nile States, by Teacher Type, 2009 percent 120 % of teachers reporting being paid 100 94% 96% 91% 86% full salary last month 79% 80 60 56% 47% 50% 40% 40 20 0 regular volunteer part-time teacher type Kassala North Kordofan River Nile Source: Service delivery survey. Note: These data are based on the responses by the sample of teachers interviewed in each school. 154 • The Status of the Education Sector in Sudan Data from the service delivery survey also show that depending on the state, between 6 and 20 percent of regular teachers had outside jobs or pro- vided private tutoring to students, indicating a need for supplementary income (table 6.8). In North Kordofan, 6 percent of regular teachers had outside jobs, whereas in Kassala and River Nile, 11 percent and 13 percent, respectively, had outside jobs. Those regular teachers who provided tutoring were as follows: 13 percent in Kassala, 17 percent in North Kordofan, and 21 percent in River Nile. As expected, compared with regular teachers a greater number of volunteer and part-time teachers had outside jobs to supplement their incomes. Although the study did not ascertain the types of jobs teachers were undertaking outside of school or the amount of income earned through these sources, the data suggest that some teachers are seeking to supplement their salaries. Teachers working in rural, IDP, and nomadic schools do not receive any additional benefits from the government. Communities in some rural schools provide additional incentives (either in cash or in kind) for teach- ers to attract them to those areas. This means that the poorest rural com- munities cannot compete with other, more wealthy rural communities that offer a better standard of living. In some states (such as South Kordofan), teachers in nomadic schools receive additional remuneration from UNICEF. Evidence from the baseline survey (FMoGE 2008) show that there were more untrained teachers in nomadic (63.9 percent) and IDP (62.1 percent) schools than in any other type of school. Although financial incentives may influence teacher performance and thus student learning, there are other, nonfinancial incentives that can be used to attract experienced and qualified teachers. For example, teachers may exert more effort if doing so improves their standing in the local community. A good work environment also tends to improve Table 6.8 Outside Jobs and Private Tutoring in Kassala, North Kordofan, and River Nile States, by Teacher Type, 2009 Percentage of teachers who report Having outside job Providing private tutoring State Regular Volunteer Part-time Regular Volunteer Part-time Kassala 11 0.3 12 13 0.2 0.0 North Kordofan 6 18 14 17 14 26 River Nile 13 14 22 21 0 9 Total number of teachers 833 65 114 833 65 114 Source: Service delivery survey. Note: These data are based on the responses by the sample of teachers interviewed in each school. Teachers • 155 Table 6.9 Teacher Incentives to Perform, or Not Nonfinancial incentives Financial incentives Career development prospects Employer power to fire Good work environment Job security Intrinsic motivation Pay level Prestige in local community Performance pay Professional recognition Student/parent appreciation Source: Lewis and Pettersson 2009, adapted from Vegas and Umansky 2005. Note: The ordering of incentives does not indicate relative importance. Work environment includes things such as number of hours worked per week, class size, availability of teach- ing materials, and the physical condition of classrooms and schools. teacher performance. The list in table 6.9 is not exhaustive but indica- tive of the wide range of factors that influence teacher performance. In all focus group discussions among teachers in five states, mention was made of improving their salaries, gaining access to better training, and providing suitable accommodations to make the profession more attractive (UNICEF 2008). Experience from other countries shows that a comprehensive benefits package (housing, insurance, hardship allowances, family relocation, and opportunities for continuing educa- tion and training) and rotations with defined service periods can serve to make remote and rural areas more attractive (or at least more acceptable) to qualified teachers. Another, potentially complementary, strategy is to hire local teachers under the presumption that people with roots in the area will be more willing to return to and remain in the area (Lewis and Pettersson 2009). SUMMARY • In northern Sudan, basic education teachers are not deployed based on the size of the schools, and as a result, teachers are concentrated in or close to urban areas. The main constraints to the effective deployment of teachers are threefold: (a) a large proportion of basic education teachers are female (67 percent) and are hence deployed close to their spouses; (b) there are no financial incentives (cash or housing) provided by the government to work in remote schools—financial incentives are provided by communities, which in turn means that the poorest and most remote communities cannot attract teachers; and (c) there are no career incentives (for example, faster promotion) for working in remote areas. 156 • The Status of the Education Sector in Sudan • The average size of a class in basic education is 48 students, but class size varies significantly by the type of school and by grade level. Of particular concern are IDP schools, which have an average of 92 stu- dents per class and thus have the potential for poor learning out- comes. • On average, students receive 336 fewer hours of annual instructional time than the government-mandated number. This deficit results in insufficient time for learning. • There is not sufficient evidence yet to ascertain whether the new pre- qualification requirements yield better performance by teachers. More research is needed to determine the cost-effectiveness of the new pro- gram compared to the old program. NOTES 1. Government teachers, administrators, inspectors, and other nonteaching staff are on the government payroll, whereas national service and volunteer teach- ers are not. 2. The average annual salary at the secondary level is 8,184 Sudanese pounds (SDG), as opposed to SDG 6,708 at the basic level (per chapter 7, on education finance). 3. The Teacher Assistance Course is a nine-month open learning course devel- oped and delivered by the Sudan Open Learning Organization, a national non- governmental organization. 4. The average actual instructional time is calculated by dividing the intended number of instructional hours by the number of teachers and multiplying this ratio by the total number of classes. 5. The survey was conducted one month after a teacher’s strike, which was ini- tiated because of a lack of salary payments to teachers in October 2009. REFERENCES Behaghel, L., and P. Coustère. 1999. Les facteurs d’efficacité de l’apprentissage dans l’enseignement primaire: les résultats du programme PASEC sur huit pays d’Afrique. Dakar, Senegal: PASEC (Programme d’analyse des systèmes éducatifs de la CONFEMEN [Conférence des ministres de l’éducation des pays ayant le français en partage]). Bernard, Jean-Marc. 2003. “Elements to Assess the Quality of Primary Educa- tion in French-Speaking Africa: Programme for the Analysis of Educational Systems of the CONFEMEN countries (PASEC).” ADEA (Association for the Development of Education in Africa) biennial meeting, Grand Baie, Mauritius, December 3–6, 2003. FMoGE (Federal Ministry of General Education). 2008. “Baseline Survey on Basic Education in the Northern States of Sudan: Final Report June 2008.” Online document available at http://planipolis.iiep.unesco.org/epiweb/ E029336e.pdf. ———. Various years. “Statistical Yearbooks.” Khartoum. Teachers • 157 Hanushek, Eric A., John F. Kain, Jacob M. Markman, and Steven G. Rivkin. 2003. “Does Peer Ability Affect Student Achievement?” Journal of Applied Econometrics 18: 527–44. Lewis, Maureen, and Gunilla Pettersson. 2009. “Governance in Education: Raising Performance in the Sector.” Draft. Development Economics Vice Presidency and Human Development Network,World Bank, Washington, DC. Available at http://siteresources.worldbank.org/EXTHDOFFICE/Resources/5485726- 1239047988859/Governance-in-education-master-22Dec09-GP.pdf. Rivkin, Steven G., Eric A. Hanushek, and John F. Kain. 2005. “Teachers, Schools, and Academic Achievement.” Econometrica 73 (2): 417–58. UNESCO (United Nations Educational, Scientific, and Cultural Organization). 2007. Education Counts: Benchmarking Progress in 19 WEI Countries: World Education Indicators. Paris: UNESCO. UNICEF (United Nations Children’s Fund). 2008. “Teacher Training Assessment for Northern States of Sudan.” Khartoum. Vegas, Emiliana, and Ilana Umansky. 2005. Improving Teaching and Learning through Effective Incentives: What Can We Learn from Education Reforms in Latin America? Washington, DC: World Bank. World Bank. Forthcoming. “Education in Sub-Saharan Africa: A Comparative Analysis.” Africa Region Technical Department, Education, World Bank, Wash- ington, DC. CHAPTER 7 Education Finance his chapter provides an overview and analysis of public education T spending in northern Sudan, with the objective of guiding future spending and informing resource allocation to promote progress in achieving the education Millennium Development Goals and Education for All targets.1 This examination is particularly important in the context of northern Sudan because the education system is decentralized, with varying capacities to deliver education services across states, and because there are significant state differences in education inputs, outputs, and outcomes. After a brief introduction, the chapter examines trends in public education spending, spending on education by administrative level and education level (preschool, basic, secondary, and tertiary), and the com- position of recurrent education spending.2 It then analyzes the composi- tion of public per-student spending and spending on education staff. A brief discussion of household out-of-pocket, per-student spending is also provided. This discussion is followed by an analysis at the state level of the share of education spending in total public spending, of per-student spending, and of the composition of recurrent education spending. Fed- eral transfers and the size of transfers received by each state are also exam- ined. The chapter concludes with a summary of the main findings. For the analysis in this chapter, it was necessary to collect primary data; see box 7.1.3 Regional comparisons are provided throughout the chapter whenever possible. BACKGROUND There are three administrative levels in the education system in northern Sudan: federal, state, and local government (localities). The provision of 159 160 • The Status of the Education Sector in Sudan BOX 7.1 STATE VISITS TO COLLECT INFORMATION ON EDUCATION SPENDING Between December 2009 and February 2010, a team composed of federal Ministry of General Education (FMoGE) and World Bank staff visited 10 of the 15 states of northern Sudan to collect data for this chapter. Prior to the visits, the team designed a template to collect the financial data. The team visited Al Qadarif, Al Jazirah, Blue Nile, Kassala, Khartoum, North Kordofan, Red Sea, River Nile, South Kordofan, and White Nile states. Of the five remaining states, three—Northern, Northern Darfur, and Sinnar—sent the requested information to the team. For the other two, Southern Darfur and Western Darfur, the team made multiple efforts to obtain data, but these states were unable to provide the information. During each visit, the team met with the state ministry of education, the state ministry of finance, and in some cases, the state ministry of local government. Financial information was generally collected for the two years 2008 and 2009, and more-detailed payroll data were collected for one month of 2009. The team also visited two to three localities in each state to verify the consistency across state-level and local-level information, and to collect information about community spending on schools. Data from the different state ministries and localities were cross-checked for consistency, and were found to be of generally good quality. In some states, donors helped to finance the education system, but data on these contributions were not available at the time of the completion of this report. preschool, basic education, and secondary education is decentralized to the states, whereas the federal government is responsible for higher edu- cation (World Bank 2003). States receive transfers from the federal gov- ernment that are intended to match resources to education needs across states. The federal transfers consist of block transfers (part of which the states allocate to education) and earmarked transfers (for specific pur- poses including higher education and graduate salaries). As a result of the government’s decentralization policy, the respon- sibilities of the states have increased significantly since the 2005 Com- prehensive Peace Agreement, together with education spending at the state level. However, in practice, the fiscal autonomy of the states is still limited because they continue to rely heavily on federal transfers, and Education Finance • 161 also because federal policies influence salary determination and teacher employment, the largest items in state education budgets (World Bank 2007). ANALYSIS OF PUBLIC EDUCATION SPENDING The following section shows trends in public education spending over the period 2000–09, and places education spending in northern Sudan in a regional context. It also provides a breakdown of total education spend- ing by development and recurrent spending, and by administrative and education levels. TRENDS IN SPENDING There has been a substantial increase in public education spending in northern Sudan since 2000, which signals the government’s commitment to expand and improve education opportunities. Table 7.1 shows total public education spending at the federal and state levels. In nominal terms, total education spending for the public school system increased from 319 million Sudanese pounds (SDG) in 2000 to SDG 2.7 billion in 2009. In real terms (adjusting for inflation by expressing all spending in 2008 SDG), total education spending nearly quadrupled, from SDG 660 million to SDG 2.4 billion between 2000 and 2009, equivalent to 15.5 percent average annual real growth. Table 7.1 Estimated Total Public Education Spending, 2000–09 Indicator 2000 2002 2004 2005 2006 2007 2008 2009 Nominal education spending (current SDG millions) 319 556 902 1,010 1,527 1,966 2,509 2,714 Recurrent 317 466 846 941 1,446 1,845 2,288 2,469 Development 2 90 56 69 80 121 221 245 Real education spending (constant 2008 SDG millions) 660 1,037 1,335 1,332 1,892 2,276 2,509 2,404 Recurrent 656 869 1,252 1,241 1,792 2,136 2,288 2,187 Development 4 168 83 91 100 140 221 217 Education spending as a percentage of total public spending 8.1 9.2 7.1 7.3 10.2 11.2 13.2 12.0 Education spending as a percentage of GDP 1.3 1.8 2.0 1.9 2.4 2.7 2.7 2.7 Source: World Bank staff estimates (see box 7.1). Note: The data include both federal and state spending. GDP = gross domestic product; SDG = Sudanese pounds. 162 • The Status of the Education Sector in Sudan The shares of gross domestic product (GDP) and total public spending allocated to education have also risen, further indicating the importance the government attaches to the education sector. Since 2000, the share of education in total public spending has increased by close to 4 percentage points to 12 percent, and as a share of GDP, it has more than doubled to 2.7 percent (table 7.1). The government’s efforts to expand public education are also shown by the increase in total (federal and state) recurrent education spending per school-age child since 2000 (figure 7.1).4 In real terms, spending per school-age child (6–16 years old) has grown by approximately 13 percent per year since 2000 to SDG 265 in 2009. The number of school-age chil- dren grew by roughly 1.7 percent annually between 2000 and 2009, but enrollment grew even faster (at 3.7 percent) as a result of the sustained increase in education spending over this period. However, between 2008 and 2009, there was a slight decline in public per-student spending, arguably the result of the downward pressure on overall public spending applied by the financial crisis. The continuous increase in education spending may not be sustainable, however, if economic growth slows down. GDP has grown rapidly since 2000, mainly because of growth in oil revenues, which has enabled a sub- stantial expansion of the public sector (see chapter 1, on setting the scene). Figure 7.1 Recurrent Public Education Spending per School-Age Child, 2000–09 constant 2008 Sudanese pounds 300 282 260 265 250 221 constant 2008 SDG 200 162 158 150 131 100 87 50 0 2000 2002 2004 2005 2006 2007 2008 2009 year Source: World Bank staff estimates (see box 7.1). Education Finance • 163 But available estimates suggest that oil production will peak in 2012 (World Bank 2010a), and if oil production or oil prices decline, lower gov- ernment revenues may put downward pressure on education spending. Despite the increase in education spending since 2000, northern Sudan spends less as a share of total public spending and of GDP than do countries with similar incomes and other countries in the region with comparable dependency ratios (see annex table 7A.1).5 In 2008, educa- tion spending as a share of total public spending was roughly 13 percent (figure 7.2). By comparison, other countries spent more—including neighboring Chad, Ethiopia, and Kenya; other lower-middle-income countries in the Sub-Saharan African region; and Morocco and Tunisia. Northern Sudan also spent relatively less on education as a share of GDP: 2.7 percent compared with 3–7 percent of GDP for neighboring countries Chad, Ethiopia, and Kenya (figure 7.2). Other lower-middle- income countries also spent more by this measure: Cape Verde, Côte d’Ivoire, and Lesotho in Sub-Saharan Africa, and the Arab Republic of Egypt, Morocco, and Tunisia in North Africa. Recurrent spending accounts for the vast majority of total education spending (figure 7.3 and annex table 7A.2).6 In 2000, real recurrent edu- Figure 7.2 Comparison of Public Education Spending, by Country, 2005–08 40 14 35 12 30 10 % of total public spending 25 8 % of GDP 20 6 15 4 10 5 2 0 0 p. n Et d pia pe a te rde ire ra o o m a k p. n ad pia Ca nya e ire ho co ia or Ca ny fra isi da a t, A th cc rd da Re Re nis Ch Ivo oc Ch Ivo t hio Cô Ve ew hio yp eso o d. Tun Ve Ke so Su Ke Su r or b Tu b o d’ d’ Le ra Et pe M L n M n er er te t, A rth rth Cô yp no no I in Eg Eg FT A- EF country country Sources: World Bank staff estimates (see box 7.1); Pôle de Dakar database 2010; World Bank 2010b; HNP Database 2010. Note: The data are for the latest year available for 2005–08. 164 • The Status of the Education Sector in Sudan Figure 7.3 Development and Recurrent Public Education Spending Shares, 2000–09 percent 100 1% 6% 7% 5% 6% 9% 9% 90 16% % of total public education spending 80 70 60 50 99% 94% 93% 95% 94% 91% 91% 40 84% 30 20 10 0 2000 2002 2004 2005 2006 2007 2008 2009 year recurrent development Source: World Bank staff estimates (see box 7.1). cation spending was SDG 656 million and accounted for more than 99 percent of total education spending. By 2009, its share had declined to 91 percent of total education spending, but in absolute terms, it had risen to SDG 2.2 billion because of the overall expansion of education spending. Development spending has increased over the period but remains low (figure 7.3 and annex table 7A.3).7 In real terms, it was SDG 4 million in 2000, constituting less than 1 percent of total education spending. How- ever, development spending has increased over time to SDG 217 million in 2009, equivalent to 9 percent of total public education spending. The larger share of development spending in 2002 (16 percent) was the result of a temporary rise in development spending in Khartoum State (World Bank 2010b). The generally low spending on development poses a challenge because many schools in northern Sudan are of very poor quality.8 For instance, in 2007, 42 percent of classrooms in basic schools were in need of repairs, and 9 percent required complete replacement (FMOGE 2008). Education spending at the state level has increased since 2000, and 83 percent of total public education spending took place at the state level in 2009 (figure 7.4 and annex table 7A.2). In 2000, state-level education spending in real terms was SDG 380 million, which by 2009, had risen to Education Finance • 165 Figure 7.4 Public Education Spending, by Administrative Level, 2000–09 3,000 constant 2008 SDG millions 2,500 2,000 1,500 1,000 500 0 00 02 04 05 06 07 08 09 20 20 20 20 20 20 20 20 year federal state Source: World Bank staff estimates (see box 7.1). almost SDG 2 billion. Spending at the federal level also increased over the period, from SDG 280 million in 2000 to SDG 420 million in 2009. But there was a decline in education spending at both the federal and the state levels between 2008 and 2009, which was likely the result of a tightening of overall public spending, including that for education, caused by the financial crisis.9 The share of recurrent education spending assigned to each education level provides an indication of government education priorities, with basic education accounting for the largest share at 49 percent in 2009 (table 7.2). Because basic education in northern Sudan is eight years long rather than six years, after adjusting for length, the share of basic educa- tion in total education spending was even lower at 37 percent. Technical secondary education constituted only 1 percent of recurrent education spending, whereas academic secondary accounted for 16 percent. Given the increase in enrollment in basic education, demand for secondary edu- cation is likely to rise, thereby requiring more spending at this level to accommodate a larger number of students while also maintaining the quality of education. The share of total recurrent education spending allo- cated to higher education was 30 percent in 2009. By contrast, preschool spending accounted for just 2 percent, and literacy programs for 1 percent, of total recurrent education spending. The relatively small spending share for literacy programs contrasts with the large share of children who have never attended school (see chapter 4, on disparities). 166 • The Status of the Education Sector in Sudan Table 7.2 Recurrent Public Education Spending, by Education Level, 2009 Recurrent education Share of total Share of total spending (constant recurrent education public enrollment Education level 2008 SDG millions) spending (percent) (percent) Preschool 54 2 7 Basic 1,068 49 74 Secondary Academic 359 16 9 Technical 20 1 0.4 Literacy program 22 1 3 Highera 663 30 7 Total 2,187 100 100 Source: World Bank staff estimates (see box 7.1). Note: The data include both federal and state spending. SDG = Sudanese pounds. a. The 2009 budget allocation with the 2008 percentage execution rate; excludes Juba University. The share of basic education in total education spending in northern Sudan was lower than that in most countries in Sub-Saharan Africa and North Africa, as shown in table 7.3.10 For instance, Egypt, Kenya, and Morocco spent 40 percent, 55 percent, and 46 percent, respectively, of total public education spending on primary education, compared with 37 percent in northern Sudan (after adjusting for eight years, rather than six, of basic education). On academic secondary education, northern Sudan spent a smaller share of total recurrent education spending (16 percent) than did the lower-middle-income countries of Morocco (19 percent) and Tunisia (22 percent). The spending share for higher education in northern Sudan was 30 percent, compared with 39 percent in Egypt, 22 percent in Tunisia, and 16 percent in Morocco. COMPOSITION OF RECURRENT EDUCATION SPENDING Teacher salaries accounted for the largest share of total recurrent educa- tion spending at an average of 75 percent, excluding higher education (table 7.4 and figure 7.5).11 In 2009, teacher salary spending ranged from 62 percent for literacy programs to 81 percent for preschool. Non- teaching staff salaries and spending on goods and services each accounted for an average of 11 percent of recurrent education spending. In higher education, teacher and nonteaching staff salaries jointly accounted for 69 percent of recurrent spending. The share of nonteaching staff salaries Education Finance • 167 Table 7.3 Comparison of Public Education Spending, by Region/Country and Education Level, 2005–08 percent Subsector Primary Upper secondary Higher Northern Sudan 37 (49) a 16 30 Neighboring countries Chad 48 12 23 Ethiopia 51 8 20 Kenya 55 12 16 Lower-middle-income countries in Sub-Saharan Africa Cape Verde 39 16 12 Côte d’Ivoire 43 10 21 Lesotho 36 11 37 Lower-middle-income countries in North Africa Egypt, Arab Rep. 40 — 39 Morocco 46 19 16 Tunisia 35 22 22 Sources: World Bank staff estimates (see box 7.1); Pôle de Dakar database 2010; World Bank 2010b; HNP Database 2010. Note: The data are for the latest year available for 2005–08; — = not available. a. The share of primary education in total public education spending is adjusted to six years for northern Sudan, and the data are for six years of primary education for all other countries shown. The 49 percent in parentheses is for eight years of basic education. Table 7.4 Composition of Recurrent Public Education Spending, by Education Level, 2009 constant 2008 SDG millions Teacher Nonteaching Goods and Student Subsector salaries staff salaries services subsidy Total Preschool 44 6 4 n.a. 54 Basic 827 192 50 n.a. 1,068 Academic secondary 247 83 29 n.a. 359 Technical secondary 14 5 2 n.a. 20 Literacy program 13 5 4 n.a. 22 Higher 460 108 96 663 Total 2,187 Source: World Bank staff estimates (see box 7.1). Note: The data include both federal and state spending; n.a. = not applicable. 168 • The Status of the Education Sector in Sudan Figure 7.5 Composition of Recurrent Public Education Spending, by Education Level, 2009 percent 100 5% 7% 8% 10% 17% 14% % of recurrent education spending 90 11% 18% 80 23% 23% 16% 70 21% 60 50 40 81% 77% 69% 67% 69% 30 62% 20 10 0 l sic y y y r oo he ar ar ac ba nd nd ch hig er lit es co co pr se se ic al em nic ad ch te ac education level teachers salaries nonteaching staff salaries goods and services student subsidy Source: World Bank staff estimates (see box 7.1). Note: The data include both federal and state spending. Teacher salaries for higher education include nonteaching staff salaries. was smallest for preschool (11 percent) and largest for academic second- ary and technical secondary education (each 23 percent). For higher edu- cation, student subsidies made up 14 percent of total spending. Spending on goods and services is generally low, and particularly so for basic education. Goods and services accounted for only 5 percent of recurrent spending for basic education, 16 percent for higher education, and up to 17 percent for literacy programs. The relatively small share of goods and services in basic education is frequently supplemented by household spending for school running costs (see annex table 7A.1; EU 2008; and chapter 5, on service delivery). PUBLIC PER-STUDENT SPENDING The next section examines per-student spending to provide insights into the allocation of resources across different education levels and into the Education Finance • 169 composition of spending for the average student at each education level. Per-student spending in northern Sudan in 2009 was computed as recur- rent public education spending per student enrolled at each education level for 13 of the 15 states (Southern Darfur and Western Darfur were excluded because of data limitations). COMPOSITION OF PER-STUDENT SPENDING The more advanced the education level, the higher the per-student spending. As shown in table 7.5, average per-student spending was low- est for preschool (SDG 119) and basic education (SDG 231) and highest for higher education (SDG 1,532), with academic secondary and techni- cal secondary education falling in between (SDG 664 and SDG 709, respectively). For basic education, average per-student spending in northern Sudan in 2009 equaled just over 8 percent of GDP per capita compared with the Sub-Saharan African regional average of 12 percent (table 7.6). Public per-student spending as a share of GDP per capita in northern Sudan was also lower than that share in all other regions, including the Middle East and North Africa, which spent a much higher share (17 percent of GDP per capita) on basic education. Average spending per student in secondary education in northern Sudan (25 percent) was roughly in line with that of other regions (table 7.6). For instance, the Middle East and North Africa spent, on average, 20 percent of GDP per capita for each student in secondary education, and South Asia spent 19 percent. Average per-student Table 7.5 Composition of Per-Student Spending, by Education Level, 2009 Education Percentage of Nonteaching Goods and Student Total spending level GDP per capita Teachers staffa services subsidy (constant 2008 SDG) Preschool 4.3 96 14 9 n.a 119 Basic 8.4 179 42 11 n.a 231 Secondary Academic 24.1 456 154 54 n.a 664 Technical 25.7 471 166 71 n.a 709 Higher 55.6 1,062 249 221 1,532 Source: World Bank staff estimates (see box 7.1). Note: Per-student spending excludes development spending and the states of Southern Darfur and Western Darfur; n.a. = not applicable. a. Nonteaching staff includes, for example, administrators, inspectors, cleaners, and guards. 170 • The Status of the Education Sector in Sudan Table 7.6 Comparison of Public Per-Student Spending, by Region and Education Level, 2002–08 Percentage of GDP per capita Country/region Basic Secondary Higher Higher (2005 US$, current prices) Northern Sudan 8 25 56 950 Sub-Saharan Africa 12 30 322 1,780 Low-income countries 12 33 359 1,460 Lower-middle-income countries 12 18 97 3,700 East Asia and Pacific 13 14 59 1,530 Eastern Europe and Central Asia 15 18 23 1,040 Middle East and North Africa 17 20 40 1,240 South Asia 14 19 61 285 Sources: World Bank staff estimates (see box 7.1); Mingat and Majgaard 2010; World Bank 2010b. spending in Sub-Saharan Africa for both low-income and lower-middle- income countries was higher at 30 percent and 33 percent, respectively. Northern Sudan spent roughly 56 percent of GDP per capita for each student in higher education, which placed it between the average of 40 percent of GDP per capita for the Middle East and North Africa region and 97 percent for middle-income countries in Sub-Saharan Africa. Per- student spending as a share of GDP per capita in other regions ranged from 23 percent in Eastern Europe and Central Asia to 359 percent in low- income Sub-Saharan African countries. In absolute terms, per-student spending in northern Sudan (US$950) was higher than such spending in South Asia (US$285), similar to it in the Eastern Europe and Central Asia region (US$1,040), but lower than per-student spending in the Middle East and North Africa region (US$1,240). ANALYSIS OF SPENDING ON EDUCATION STAFF The public education system has non–school-based and school-based staff. Non–school-based staff includes administrators and inspectors at the central and decentralized levels. The school-based staff consists of government teachers, national service and volunteer teachers, and non- teaching staff.12 Of the school-based staff, government teachers, adminis- trators, inspectors, and other nonteaching staff are on the government payroll, whereas national service and volunteer teachers are not.13 In 2009, there was a total of approximately 217,000 education staff on the government payroll in 13 of the 15 states in northern Sudan (table 7.7).14 In terms of school-based staff, the majority were government teachers Education Finance • 171 Table 7.7 Composition of Education Staff, by Education Level, 2009 School based (a) + (b) + (c) (d) Total education (a) (b) National (c) + (d) staff on Central and Government (c) service and Total government decentralized nonteaching Government volunteer teach- Education level payroll education staff staff teachers teachersa ers Preschool 9,592 444 327 8,821 4,196 13,017 Basic 153,010 8,415 18,486 126,109 5,388 131,497 Secondary 50,857 3,790 13,515 33,552 1,964 35,516 Literacy program 3,365 756 110 2,499 5,910 8,409 Total 216,824 13,405 32,438 170,981 17,458 188,439 Source: World Bank staff estimates (see box 7.1). Note: The data exclude Southern Darfur and Western Darfur. a. These teachers are not on the government payroll. (170,981) followed by government nonteaching staff (32,438), and national service and volunteer teachers (17,458). There were also about 13,405 non–school-based education staff at the central and decentralized levels. An oversupply of teachers is costly because salaries constitute by far the largest spending component; however, an insufficient number of teachers can affect the quality of education services. According to the Edu- cation for All Fast-Track Initiative (EFA-FTI), the recommended student- teacher ratio (STR) for primary education in Sub-Saharan Africa is 40:1. The average STR for basic education in northern Sudan is 34:1 (excluding national service and volunteer teachers), which is below the EFA-FTI rec- ommendation. However, there is notable variation in STRs at the state level (see Analysis of State-Level Education Spending later in this chap- ter), and given teacher subject specialization, class sizes are sometimes large (see chapter 6, on teachers). In 2009, the average salary for school-based education staff was approximately SDG 6,400 per year, the equivalent of 2.1 times GDP per capita (table 7.8).15,16 Examining average annual salaries by staff type shows that administrators had the highest salaries, at about SDG 8,800 (2.6 times GDP per capita), followed by inspectors, at SDG 7,600 (2.4 times GDP per capita). By comparison, government teachers earned an average of SDG 6,900 (2 times GDP per capita), and other nonteaching staff (that is, cleaners, drivers, and guards) earned SDG 3,200 (1.1 times per capita income). The relatively high salaries of administrators and inspectors were mainly the result of higher qualifications and greater 172 • The Status of the Education Sector in Sudan Table 7.8 Average Salaries of School-Based Staff in Northern Sudan, by Education Level, 2009 Nonteaching staff Other Government nonteaching Education level teachers Administrators Inspectors staffa Total Average salary (current SDG) 6,892 8,828 7,621 3,173 6,385 Preschool 5,160 6,790 6,271 3,750 5,162 Basic 6,708 8,320 7,298 3,238 6,325 Secondary 8,184 9,691 9,390 3,062 6,885 Literacy program 5,091 7,665 7,240 3,424 5,143 Average salary (multiple of GDP per capita) 2.0 2.6 2.4 1.1 2.1 Preschool 1.7 2.2 2.0 1.2 1.7 Basic 2.2 2.7 2.3 1.0 2.0 Secondary 2.6 3.1 3.0 1.0 2.2 Literacy program 1.6 2.5 2.3 1.1 1.7 Source: World Bank staff estimates (see box 7.1). Note: The table excludes Southern Darfur and Western Darfur and national service and volunteer teachers because of data limitations. a. Other nonteaching staff includes, for example, cleaners, drivers, gardeners, guards, and janitors. experience than teachers (EU 2008). To assess whether teacher salaries are comparable to those of other professionals with similar educational attainment requires labor market data on earnings, which were not avail- able at the time of the preparation of this report. For administrators, inspectors, and teachers, average salaries rose with the education level at which they worked (table 7.8). This suggests that teachers with more training were paid more, as would be expected. Other nonteaching staff, which exclude administrators and inspectors, earned roughly the same salaries at each education level because they performed similar tasks and had similar training regardless of the education level at which they worked. Average salaries for primary teachers in northern Sudan measured as a multiple of GDP per capita were lower than those in neighboring countries and lower-middle-income countries in Sub-Saharan Africa (table 7.9). In neighbors Chad, Ethiopia, and Kenya, primary school teachers earned about 5–7 times GDP per capita compared with 2 times GDP per capita in northern Sudan in 2009. In the lower-middle-income countries of Côte d’Ivoire and Lesotho, teacher salaries were roughly 5 times GDP per capita, and in Morocco, they were 3.4 times larger. By Education Finance • 173 Table 7.9 Comparison of Average Primary Teacher Salaries, by Region/Country, 2002–08 Average primary teacher salary Region/country (multiple of GDP per capita) Northern Sudan 2.2 Neighboring countries Chad 5.4 Ethiopia 7.3 Kenya 5.3 Lower-middle-income countries in Sub-Saharan Africa Cape Verde — Côte d’Ivoire 4.9 Lesotho 5.0 Lower-middle-income countries in North Africa Egypt, Arab Rep. 0.5 Morocco 3.4 Tunisia 1.8 Sources: World Bank staff estimates (see box 7.1); Pôle de Dakar database 2010; UNESCO Institute for Statistics 2006. Note: The data are for the latest year available for 2002–08; — = not available. contrast, primary teacher salaries in Egypt and Tunisia were 0.5 and 1.8 times GDP per capita, respectively. HOUSEHOLD OUT-OF-POCKET EDUCATION SPENDING Basic education in northern Sudan is supposed to be provided for free, but when public education spending is insufficient, households pay out- of-pocket to make up for shortfalls. The data presented in this section are drawn from several small-scale surveys because data on household edu- cation spending are not collected on a regular basis in northern Sudan. Table 7.10 presents some of the data available for students enrolled in public schools. These household out-of-pocket payments are only for school running costs, including school maintenance, water and electricity, and supplementary teacher salary payments. Other school costs incurred by households—for uniforms, transport, and textbooks, for example—are excluded. In North Kordofan State, household out-of-pocket spending per stu- dent was SDG 13 for preschool, SDG 19 for basic education, and SDG 20 174 • The Status of the Education Sector in Sudan Table 7.10 Average Annual Household Out-of-Pocket Spending per Student, Selected States, 2008–09 current SDG Source (year) Preschool Basic education Secondary education State visits (2009)a — 15 46 Service delivery study (2008–09)b — 13 — North Kordofan data (2008–09) 13 19 20 Note: The data exclude household spending on uniforms, transport, textbooks, and the like; — = not available. a. These are the averages for Al Qadarif, Kassala, South Kordofan, and White Nile states. b. This is the average for Kassala, North Kordofan, and River Nile, states. for academic secondary education in 2008–09. In Al Qadarif, Kassala, South Kordofan, and White Nile states, average household out-of-pocket spending was SDG 15 per student for basic education; and in Kassala, North Kordofan, and River Nile, the average was SDG 13 per student. The average SDG 15 per student spent by households on basic school running costs in 2009 was higher than the government spending per stu- dent for school running costs, which was SDG 12.17 This means that in many schools, household out-of-pocket payments provided the main source of financing for everyday school running costs. The household spending in table 7.10 was only for school operating costs, but house- holds incur additional costs for uniforms, textbooks, meals, and so on. In 2009, urban households reported spending an average of SDG 84, and rural households SDG 24, per person on education per year (Castro 2010). Although rural households notably spent less, on average, than urban households in absolute terms, education accounted for 2 percent of consumption for rural households compared with 3 percent for urban households. Education accounted for a larger share of consumption for poor rural households (2 percent) than for nonpoor rural households (1 percent) (Castro 2010). For urban households, both poor and nonpoor, education spending accounted for 3 percent of consumption. Thus, for the poorest households, out-of-pocket costs pose a barrier to education, and even more so when a family has many children, with implications for student attendance and dropout (EU 2008). ANALYSIS OF STATE-LEVEL EDUCATION SPENDING The education system in northern Sudan is decentralized, with large differences in education spending and capacities to deliver education Education Finance • 175 services across the 15 states. This section provides an overview of these differences. STATE EDUCATION SPENDING Most states allocated a large share of their total public spending to edu- cation, 31 percent, on average, in 2009 (figure 7.6).18 Dividing states into groups based on gross enrollment rates (GERs)—high (Al Jazirah, Khar- toum, Northern, River Nile, and White Nile), intermediate (Al Qadarif, North Kordofan, Sinnar, South Kordofan, and Western Darfur), and low (Blue Nile, Kassala, Northern Darfur, Red Sea, and Southern Darfur)—as in chapter 4 on disparities, shows that some states spent a larger share of their total public spending on education. In the high-GER group, the education share in total state public spend- ing ranged from 22 to 48 percent compared with 14–37 percent for the intermediate-GER group and 12–47 percent for the low-GER group. These data suggest that some states, given their available resources, prioritize edu- cation more highly. However, certain states arguably have to spend more on other sectors, such as security, leaving fewer resources for education. PER-STUDENT SPENDING BY STATE Public per-student spending also varied widely across states. Again, grouping them into high-, intermediate-, and low-GER states illustrates the big differences in average per-student spending across education levels for the three groups (figure 7.7). The high-GER group, on aver- age, spent more per student at each education level than did the inter- mediate- and low-GER groups.19 In individual states, there is no clear pattern in per-student spending by education level (figure 7.8). Some states had relatively low per-student spending across the three education levels, whereas others had relatively high per-student spending for one education level and low spending for another. For instance, both Al Qadarif and South Kordofan spent about SDG 200 per student in basic education, yet Al Qadarif spent much more than South Kordofan in secondary education, about SDG 741 per student compared with SDG 416. At the preschool level, average per-student spending was SDG 121 and ranged from a low of SDG 31 in Western Darfur to a high of SDG 329 in Khartoum State (see annex table 7A.3). The education systems in the three Darfur states were also supported by the donor community, and nongovernmental organizations (NGOs) played a substantial role, which 176 Figure 7.6 State Education Spending as a Share of State Total Public Spending, 2009 percent a. Group 1: high GERs b. Group 2: intermediate GERs c. Group 3: low GERs 50 50 50 47% 47% 45% 45 45 45 43% 40 39% 40 40 37% 35 35 35 % of total public spending % of total public spending % of total public spending 32% 31% 30 30 30 28% 25 25 23% 25 23% 22% 20 20 20 19% 15 15 14% 15 12% 10 10 10 5 5 5 0 0 0 h um n ile ile an r an r le ala r a r rif na rfu rfu rfu Se ira er Ni da rN eN of of ss to rth Sin Da Da Da z d rd rd ue Qa Ja Ka ar ve Re hit No Ko Ko rn n rn Bl Kh Al Ri Al er W te he rth h rth es ut ut No No W So So state state state Source: World Bank staff estimates (see box 7.1). Education Finance • 177 Figure 7.7 Average Public Per-Student Spending, by GER Group, 2009 900 823 800 767 700 current SDGs, group average 602 600 500 400 347 300 255 200 184 183 100 87 92 0 l sic ry oo da ba ch on es ec pr s ic em ad ac education level group 1: high GERs group 2: intermediate GERs group 3: low GERs Source: World Bank staff estimates (see box 7.1). potentially compensated for the relatively low public per-student spend- ing at the state level. However, data on donor and NGO financing for edu- cation were not available during the preparation of this report. An example of the variation in preschool spending per student was provided by Northern and Red Sea states. They had quite similar num- bers of students, but per-student spending was four times higher in Northern State, and teacher salaries as a multiple of GDP per capita were lower (1.2 times GDP per capita in Northern compared with 2.2 times GDP per capita in Red Sea). This information may partly explain the large difference in average student-teacher ratios (STRs), which were 18:1 in Northern State and 198:1 in Red Sea State. Another rea- son for the big variation in STRs is that in some states, teachers not on the government payroll—for instance, volunteer teachers paid by the community—constituted a large share of preschool teachers. When these teachers were included, the STRs across states were more similar. That certain states relied to a large extent on communities to finance preschool teachers raises questions about their training and utilization as compared with government teachers. 178 Figure 7.8 Public Per-Student Spending, by Education Level and State, 2009 a. Group 1: high GERs b. Group 2: intermediate GERs c. Group 3: low GERs 1,600 1,600 1,600 1,400 1,400 1,400 1,200 1,200 1,200 1,000 1,000 1,000 current SDG current SDG current SDG 800 800 800 600 600 600 400 400 400 200 200 200 0 0 0 h um n ile ile an r an r le ala r a r rif na rfu rfu rfu Se ira er Ni da rN eN of of ss to rth Sin Da Da Da z d rd rd ue Qa Ja Ka ar ve Re hit No Ko Ko rn n rn Bl Kh Al Ri Al er W te he rth h rth es ut ut No No W So So state state state preschool basic academic and technical secondary Source: World Bank staff estimates (see box 7.1). Note: The data exclude national service and volunteer teachers and federal spending. Education Finance • 179 For basic education, average per-student spending across states was SDG 262, but varied from SDG 124 in Western Darfur to SDG 542 in Northern State (see annex table 7A.4). Teacher salaries were fairly sim- ilar across states because they are centrally determined, which implies that the variation in spending per student was largely driven by dif- ferences in spending on nonteaching staff and goods and services, and in the number of teachers. There was also less variation in average STRs in basic education than in preschool, with STRs ranging from 17:1 in Northern State to 64:1 in Western Darfur. Per-student spending for academic secondary education started at SDG 417 in South Kordofan and rose to SDG 1,416 in Blue Nile State (see annex table 7A.5). For technical secondary education, spending per student was generally somewhat higher than for the academic track. It ranged from SDG 354 in South Kordofan to SDG 1,194 in Red Sea (see annex table 7A.6). Secondary education STRs varied less across states than did those for either preschool or basic education. FEDERAL TRANSFERS TO STATES Since 2005, northern Sudan has undergone a process of fiscal decentral- ization, which is seen as key to addressing regional inequalities in the postconflict environment. The 15 states receive transfers from the federal government, and the states in turn transfer resources to local governments (localities). The federal transfers consist primarily of nonsector-specific block transfers, and the states determine how much of these to allocate to education; but some transfers are also earmarked for specific items. Federal transfers constitute a substantial share of state and local rev- enues in most states. In 2009, the share of federal transfers in total rev- enues by state ranged from a high of 91 percent in Blue Nile State to 51 percent in Kassala and Red Sea states and a low of 27 percent in Khartoum State (figure 7.9). Given the importance of federal transfers in state budgets, the unpre- dictability of transfers (in terms of discrepancies between budgeted and realized transfers and delays in disbursements) makes it difficult for states to plan their education spending. There are notable differences in transfer realization rates across items. For instance, the budget execution rate for earmarked transfers for higher education goods and services spending ranged from a low of 6 percent to a high of 92 percent, and for salaries, from 93 percent to 118 percent during the period 2005 to 2008 (World Bank 2007). 180 • The Status of the Education Sector in Sudan Figure 7.9 Federal Transfers and State Own Revenues as a Share of Total Revenues, 2008 percent 100 9% 11% 11% 11% 12% 15% 18% 21% 22% 30% 33% 35% 80 49% 49% 73% 60 percent 91% 89% 89% 89% 88% 40 85% 82% 79% 78% 70% 67% 65% 51% 51% 20 27% 0 le r ile r an r r n ah an ile ala a um rif rfu rfu na rfu Se er Ni da rN eN of zir of ss to rth Sin Da Da Da d rd rd ue Qa Ja Ka ar ve Re hit No Ko Ko rn n rn Bl Kh Al Ri Al er W te he h rth rth es ut ut No No W So So state federal transfers state own revenues Source: World Bank Poverty Reduction and Economic Management, Africa Region, preliminary estimates. The intention behind federal transfers is to redistribute resources so that all states are given equal opportunity to provide public services, including education, to their citizens.20 The federal transfers are meant to be determined according to a formula based on a state’s financial per- formance, population size, natural resources, human resources, infra- structure, education status, security status, and per capita income, where each component is assigned a weight that indicates the importance given to it by the government (EU 2008). However, in practice, the basis on which federal transfers are allocated is not clear. Although the formula is known, the computations used to determine the size of actual federal transfers to each state are not avail- able, which makes it impossible to assess whether the intent of providing larger transfers to states with larger needs occurs in practice. Rather, dis- cussions with the states indicate that transfers for education are primarily based on a state’s existing payroll and obligations (last year’s budget plus a negotiated increment) (also see EU 2008). Although this system helps states honor their payroll obligations and keep existing education services running, it also tends to perpetuate existing inequalities and reduce states’ spending autonomy. For example, states need approval from the federal level before they can hire more teachers, or they risk not being able to Education Finance • 181 honor their payroll, particularly if their own revenues are small. Thus, although the provision of public education is decentralized, the federal government agencies that negotiate the recurrent transfers with states largely determine the pace of growth in the provision of services in states with fewer own resources. States with higher average GERs received, on average, larger federal transfers per capita, which suggests that the states with greater education needs may not be receiving the larger federal transfers (figure 7.10).21,22 Some high-GER states (group 1)—for instance, River Nile and Northern states—with relatively high per-student spending and GERs, received rel- atively large transfers. At the same time, some low-GER states (group 3) with relatively low per-student spending—such as Southern Darfur, Northern Darfur, and Kassala—received smaller per capita transfers. Figure 7.10 Federal Transfers per Capita and Average GER, by State, 2008–09 250 Group 3: Blue Nile Group 1: River Nile Group 1: Northern federal transfer per capita (current SDG), 2008 200 Group 2: South Kordofan 150 Group 1: Al Jazirah Group 2: Sinnar Group 2: Western Darfur Group 3: Red Sea Group 1: White Nile 100 Group 2: Al Qadarif Group 3: Kassala Group 3: Northern Darfur Group 2: North Kordofan Group 3: Southern Darfur 50 20 30 40 50 60 70 average GER, 2008–09 Source: World Bank Poverty Reduction and Economic Management, Africa Region, preliminary estimates. Note: The federal transfers refer to all sectors. The average GER (gross enrollment rate) applies to preschool, basic school, and secondary school. 182 • The Status of the Education Sector in Sudan SUMMARY • Total public education spending in northern Sudan has increased sub- stantially over time and so has public spending per student, which indicates the commitment and effort of the government to expand educational opportunities. But total public education spending was relatively low from a regional perspective, both as a share of GDP and as a share of total public spending. Public per-student spending was also generally low compared with that in other countries in the region for each education level. • The share of public spending on basic education in northern Sudan was smaller than the share in neighboring countries and lower- middle-income countries in both Sub-Saharan and North Africa. It was also smaller than the EFA-FTI benchmark. The steady rise in enrollment in basic education will also put pressure on secondary education spending to accommodate rising demand for secondary education over the next few years. • Teacher salaries constituted the largest spending component, on average 76 percent of total recurrent spending (excluding higher education). The 24 percent spent on goods and services and the non- teaching staff is notably less than the 33 percent EFA-FTI benchmark. In basic education, in particular, public spending on goods and serv- ices was low and accounted for only 5 percent of total recurrent spending. • Household out-of-pocket payments covered a large share of school running costs, especially for basic education, implying that basic edu- cation is not always free in practice. Moreover, education accounted for a larger share of consumption for poor rural households than for non- poor rural households, which has implications for equity in access to education. • Most states allocated a large share of their total public spending to education, on average, 31 percent. However, there were notable differ- ences in public per-student spending across the 15 states. Federal transfers constitute the bulk of state revenues, and are intended to assist lagging states to catch up in terms of public service provision, including education. But in practice, federal transfers seem to be deter- mined largely by a state’s payroll obligations plus an increment, and therefore tend to perpetuate existing disparities. Education Finance • 183 ANNEX: SPENDING ON EDUCATION Table 7A.1 Comparison of Public Education Spending, by Region/Country, 2005–08 Public education spending Percentage School-age of total population over GDP public Percentage total population per capita Region/country spending of GDP (percent) (PPP US$) Northern Sudan 13.2 2.7 26 1,990 Neighboring countries Chad 15.6 3.1 29 1,342 Ethiopia 18.8 5.5 28 740 Kenya 29.1 7.0 25 1,432 Lower-middle-income countries in Sub-Saharan Africa Cape Verde 22.5 5.7 23 2,957 Côte d’Ivoire 25.8 4.4 26 1,526 Lesotho 33.8 13.2 22 1,444 Lower-middle-income countries in North Africa Egypt, Arab Rep. 12.6 3.7 20 4,212 Morocco 29.3 5.5 19 3,722 Tunisia 34.6 7.1 15 6,743 Sources: World Bank staff estimates (see box 7.1); Pôle de Dakar database 2010; World Bank 2010b; HNP Database (2010). Note: The data for the latest year available for 2005–08. GDP = gross domestic product; PPP US$ = pur- chasing power parity in U.S. dollars. Table 7A.2 Total, Recurrent, and Development Education Spending, by Administrative Level, 2000–09 Administrative level/type of spending 2000 2002 2004 2005 2006 2007 2008 2009 Federal Total 280 438 584 183 468 498 447 420 Recurrent 280 438 529 135 433 451 400 374 Development 0 0 55 48 36 47 47 46 State Total 380 599 752 1,149 1,423 1,778 2,062 1,984 Recurrent 376 431 723 1,105 1,359 1,685 1,889 1,813 Development 4 168 28 44 64 93 174 171 (continued next page) 184 • The Status of the Education Sector in Sudan Table 7A.2 (continued) Administrative level/type of spending 2000 2002 2004 2005 2006 2007 2008 2009 Federal and state combined Total 660 1,037 1,335 1,332 1,892 2,276 2,509 2,404 Recurrent 656 869 1,252 1,241 1,792 2,136 2,288 2,187 Development 4 168 83 91 100 140 221 217 Source: World Bank staff estimates (see box 7.1). Table 7A.3 Preschool: Overview of State Education Spending and STRs, by Group and State, 2009 Per-student Teacher salaries Student- spending as a multiple of teacher Number of Group/state (current SDG) GDP per capita ratio students Group 1: high GERs 184 1.6 62 Al Jazirah 264 2.0 25 83,263 Khartoum 329 1.3 15 12,362 Northern 210 1.2 18 19,910 River Nile 44 2.1 175 37,012 White Nile 73 1.6 75 43,936 Group 2: intermediate GERs 87 1.6 100 Al Qadarif 138 1.9 47 28,182 North Kordofan 65 1.3 76 42,347 Sinnar 160 1.3 31 7,355 South Kordofan 41 1.9 153 29,450 Western Darfur 31 1.7 195 24,571 Group 3: low GERs 92 1.7 94 Blue Nile 106 1.9 71 9,497 Kassala 136 1.5 76 13,841 Northern Darfur 77 1.3 59 45,498 Red Sea 52 2.2 198 17,777 Southern Darfur 93 1.7 64 36,946 Total 451,947 Source: Staff estimates. Note: The table excludes national service and volunteer teachers and federal spending. Education Finance • 185 Table 7A.4 Basic Education: Overview of State Education Spending and STRs, by Group and State, 2009 Teacher Per-student salaries as a Student- spending multiple of teacher Number of Group/state (current SDG) GDP per capita ratio students Group 1: high GERs 347 2.3 26 Al Jazirah 278 2.3 30 660,747 Khartoum 274 2.2 30 751,053 Northern 542 2.3 17 111,528 River Nile 425 2.6 22 181,569 White Nile 216 1.9 30 306,663 Group 2: intermediate GERs 183 2.1 43 Al Qadarif 204 2.1 38 216,709 North Kordofan 174 2.0 42 515,927 Sinnar 212 2.1 33 226,895 South Kordofan 202 2.0 39 265,455 Western Darfur 124 2.2 64 277,882 Group 3: low GERs 255 2.1 34 Blue Nile 305 1.9 24 122,409 Kassala 297 2.3 31 167,951 Northern Darfur 185 2.1 44 335,905 Red Sea 305 2.2 27 100,062 Southern Darfur 182 2.2 44 381,098 Total 4,621,853 Source: Staff estimates. Note: The table excludes national service and volunteer teachers and federal spending. Table 7A.5 Academic Secondary Education: Overview of State Education Spending and STRs, by Group and State, 2009 Teacher Per-student salaries as a Student- spending multiple of teacher Number of Group/state (current SDG) GDP per capita ratio students Group 1: high GERs 767 2.6 15 Al Jazirah 662 2.9 17 126,513 Khartoum 739 2.5 16 107,422 (continued next page) 186 • The Status of the Education Sector in Sudan Table 7A.5 (continued) Teacher Per-student salaries as a Student- spending multiple of teacher Number of Group/state (current SDG) GDP per capita ratio students Northern 965 2.4 10 17,634 River Nile 872 2.7 13 30,183 White Nile 598 2.6 17 36,429 Group 2: intermediate GERs 602 2.7 18 Al Qadarif 724 2.8 17 21,086 North Kordofan 630 2.6 16 37,361 Sinnar 774 3.0 13 25,158 South Kordofan 417 2.4 22 26,357 Western Darfur 463 2.6 23 13,684 Group 3: low GERs 823 2.5 16 Blue Nile 1,416 2.2 7 8,435 Kassala 773 2.4 14 15,801 Northern Darfur 480 2.3 18 28,745 Red Sea 910 3.1 19 12,051 Southern Darfur 537 2.6 20 33,839 Total 540,698 Source: Staff estimates. Note: The table excludes national service and volunteer teachers and federal spending. Table 7A.6 Technical Secondary Education: Overview of State Education Spending and STRs, by Group and State, 2009 Per-student Teacher salaries spending as a multiple of Student- Number of Group/state (current SDG) GDP per capita teacher ratio students Group 1: high GERs 777 2.6 15 Al Jazirah 669 2.9 16 3,302 Khartoum 567 2.5 21 7,336 Northern 911 2.4 11 1,256 River Nile 1,174 2.7 10 1,968 White Nile 564 2.6 18 2,507 Group 2: intermediate GERs 681 2.7 17 Al Qadarif 881 2.8 14 2,409 North Kordofan 848 2.6 12 2,211 (continued next page) Education Finance • 187 Table 7A.6 (continued) Per-student Teacher salaries spending as a multiple of Student- Number of Group/state (current SDG) GDP per capita teacher ratio students Sinnar 778 3.0 13 706 South Kordofan 354 2.4 26 309 Western Darfur 542 2.6 21 620 Group 3: low GERs 838 2.5 15 Blue Nile 1,137 2.2 8 614 Kassala 478 2.4 23 1,414 Northern Darfur 608 2.3 14 1,696 Red Sea 1,194 3.1 14 1,074 Southern Darfur 773 2.6 15 1,233 Total 28,655 Source: Staff estimates. Note: The table excludes national service and volunteer teachers and federal spending. NOTES 1. The analysis of education spending in northern Sudan is hampered by the lack of a consolidated budget for the three levels of government (federal, state, and local); spending not being classified by function and purpose; data typically being for budget allocations rather than executed amounts; and weak financial management capacities at the state and local levels, resulting in incomplete reporting of spending at these levels (World Bank 2007). 2. Spending refers to public education spending unless stated otherwise. In addition to the public school system, there are private schools (not discussed here), which help alleviate pressure on the public education system. 3. The “Northern States Budget Review Notes” also contain data on education spending, but these data are less comprehensive than those compiled for the ESR: the state public education spending data reported are lower than those in the ESR because they exclude teacher wages for preschool, basic school, and secondary education (World Bank 2010a). 4. Because of data limitations, this measure is computed as recurrent spend- ing for all subsectors (not just basic and secondary education) divided by the number of children 6–16 years old. 5. The dependency ratio is defined as the school-age population as a share of the total population. 6. Recurrent spending is purchases of assets or services to be consumed within one year. 7. Development spending is for physical assets with benefits extending into the future. 8. Moreover, in some schools, teaching takes place only in the nonrainy sea- son because schools are built of tree branches and get destroyed during the rainy season (World Bank forthcoming). 188 • The Status of the Education Sector in Sudan 9. Total recurrent public spending for all sectors declined between 2008 and 2009. 10. This observation is for the spending share of 37 percent adjusted to six years rather than eight years of basic education. 11. Spending on teaching and nonteaching staff salaries cannot be separated for higher education; therefore, these salaries are excluded when computing the average 75 percent salary share in recurrent education spending. When salaries are included, the share remains very similar. 12. The term nonteaching staff includes administrators, inspectors, cleaners, drivers, guards, and janitors. 13. The limited information available suggests that in several cases, volunteer teachers are paid by communities, but also in some cases, work for free. 14. The two states excluded were Southern Darfur and Western Darfur. 15. This figure excludes national service and volunteer teachers. 16. Average salaries were computed as total salary spending for each staff type divided by the total number of such staff. 17. For the purposes of this comparison, public per-student spending on school running costs is defined as spending on goods and services. 18. This figure is for 13 states, excluding Southern Darfur and Western Darfur because of data limitations. 19. The high average spending for academic secondary education for the low- GER group was driven by Blue Nile State; when excluding this state, we see that the high-GER group spends more. 20. The rules governing fiscal transfers are scattered throughout many docu- ments, including the Comprehensive Peace Agreement of 2005, the Darfur Peace Agreement of 2006, and the Eastern Sudan Peace Agreement of 2006. 21. Whether Blue Nile State was included did not affect this relationship, because it is not an influential observation. For the 14 states, excluding Khar- toum, having a higher average GER was significantly associated with higher federal transfers. 22. The data are for one year only, and it could be that states with relatively high GERs achieved these rates because of receiving large federal transfers in previous years. Also, states with more of their own revenues may have been using these revenues in the education sector in addition to federal transfers. However, social sector outputs tend to be correlated; thus, states that perform relatively well in the education sector may also be more likely to perform better in the other sectors. REFERENCES Castro, Martín, Cumpa. 2010. “Poverty in Northern Sudan. Estimates from the NBHS 2009.” Draft. World Bank, Washington, DC. EU (European Union). 2008. Cost and Financing Study. European Union. FMoGE (Federal Ministry of General Education). 2008. “Baseline Survey on Basic Education in the Northern States of Sudan: Final Report June 2008.” Khar- toum. Online document available at http://planipolis.iiep.unesco.org/ epiweb/E029336e.pdf. HNP Stats. 2010. Health, Nutrition and Population Unit, World Bank,Washington, DC. Available at http://databank.worldbank.org/ddp/home.do?Step=12&id =4&CNO=311. Education Finance • 189 Mingat, A., and K. Majgaard. 2010. Education in Sub-Saharan Africa: A Comparative Analysis. Washington, DC: World Bank. UNESCO Institute for Statistics. 2006. “Teachers and Educational Quality: Monitoring Global Needs for 2015.” UNESCO Institute for Statistics report, Montreal. World Bank. 2003. “Sudan. Stabilization and Reconstruction.” Country Eco- nomic Memorandum, Volume 1: Main text. Report 24620-SU. Poverty Reduction and Economic Management 2, Africa Region, World Bank, Washington, DC. ———. 2007. “Sudan. Public Expenditure Review. Synthesis Report.” Report 41840-SD. Poverty Reduction and Economic Management Unit, Africa Region, World Bank, Washington, DC. ———. 2010a. “Northern States Budget Review Notes.” Draft. Poverty Reduction and Economic Management Unit, Africa Region, World Bank, Washington, DC. ———. 2010b. World Development Indicators. World Bank, Washington, DC. Available at http://data.worldbank.org/data-catalog/world-development- indicators. ———. Forthcoming. “Service Delivery in Basic Schools in Four States in Northern Sudan: Findings from the 2010/11 Service Delivery Survey.” Draft. Education, Africa Region, World Bank, Washington, DC. Appendix: State-Level Data Sheets—Northern State • 191 State: Northern Year: 2008–09 Indicator State Northern Sudan State–northern Sudan ratio Demographic pressure (population ages 5–16 as a percentage of total population) 28 32 0.88 School life expectancy (SLE), excluding higher education (years) 7.1 6.3 1.12 Effort: spending per school-age population (Sudanese pounds [SDG]) 429 165 2.59 Efficiency of education spending: spending per child (in population) per year of SLE produced (SDG) 60 26 2.31 Student Flow and Socioeconomic Disparities Share of girls in total Share of private school Gross enrollment rate enrollments enrollments (percent) (percent) (percent) Education level Enrollments State Northern Sudan State Northern Sudan State Northern Sudan Preschool 21,786 64 37 51 47 — — Basic 112,254 85 72 49 46 1 5 Secondary 23,158 50 29 52 48 18 23 Academic 21,902 47 28 54 49 19 24 Technical 1,256 3 1 9 25 0 0 Literacy program 12,340 n.a. n.a. n.a. n.a. n.a. n.a. Note: — = not available; n.a. = not applicable. Student Annual Growth Rate 2005–09 Share of Enrollment in Basic Education percent percent Education level State Northern Sudan Schools State Northern Sudan Preschool 6 15 Nomadic 3 3 Basic –3 5 Internally displaced Secondary 5 7 person (IDP) 1 4 KEY POINTS Educational Pyramid for Northern State (Basic and Secondary Only) General • Lower demographic pressure than northern 11 10 Sudan average 9 secondary • Relatively high school life expectancy years of schooling 8 • Very low efficiency in use of resources 7 6 Preschool 5 • Relatively low increase in enrollment 4 basic • High gross enrollment rate (GER), 70 percent 3 2 higher than the average 1 Basic education 0 • Better coverage (GER 13 percentage points 10 20 30 40 50 60 70 80 90 100 % of corresponding age group higher than the average) northern Sudan Northern State • But no increase in GER (no improvement process) • Share of nomadic schools at the average Secondary education • Better coverage (GER 19 percentage points higher than the average) • Relatively low increase in enrollment 192 • Appendix: State-Level Data Sheets—Northern State Internal Efficiency percent Gross intake rate Completion rate Retention rate Share of repeaters Education level State Northern Sudan State Northern Sudan State Northern Sudan State Northern Sudan Basic 79 80 66 54 83 68 13 4 Secondary 50 34 30 25 61 72 — 14 Note: — = not available. KEY POINTS Basic education Secondary education • Intake rate at the average • Low retention • Better retention and completion • High dropout • High repetition (three times the average) • High transition between basic education and secondary cycle Government School: Teachers Voluntary and national Student-teacher ratio service (percent) Teacher-nonteacher ratio Education level State Northern Sudan State Northern Sudan State Northern Sudan Preschool 18 48 0 33 87 18 Basic 17 33 0 3 3 5 Secondary 10 16 0 8 1 1 Government School: Facilities Students per school Students per form Education level State Northern Sudan State Northern Sudan Preschool — — — — Basic 240 332 32 48 Secondary 190 238 39 45 Note: — = not available. Education Expenditures percent Indicator State Northern Sudan Education as a percentage of all expenditures 45 27 Salaries as a percentage of education expenditures 83 85 Appendix: State-Level Data Sheets—Northern State • 193 Per-Student Spending at the State Level Sudanese pounds State Relative to northern Sudan Indicator Preschool Basic Secondary Preschool Basic Secondary Total 210.2 542.2 961.1 1.7 2.3 1.4 Teachers 207.0 433.1 712.9 1.9 2.1 1.4 Nonteachers 1.6 102.3 204.4 0.2 3.5 1.6 Goods and services 1.7 6.8 43.7 0.2 0.8 1.0 Degree of Randomness in Teacher Allocations, KEY POINTS Primary School General 100 • High share of education budget 90 • High per-student spending 80 • Very low spending on goods and services 70 60 percent Preschool 50 • Low student-teacher ratio (STR) and class size 40 • Very few nonteaching staff (high number of 30 teachers per nonteaching staff) 20 10 • High per-student spending 0 Basic education n um a s le da te Se Ni sta to Su d • Low STR and class size ue ar Re n of Kh Bl er p rth • No volunteer teachers ou no gr • High share of nonteaching staff Note: Group of states is the average for all states in northern Sudan • High per-student spending except for Red Sea, Blue Nile, and Khartoum. Disaggregated data were • Smaller school size unavailable for the other states, so just the average is included. Secondary education • Very low STR • Low STR and class size • High per-student spending • Smaller school size Literacy Rates for Adults 20–30 Years Old, by Number KEY POINTS of Years of School • Two main challenges regarding student flow: 100 improving access to basic education and 90 retention in secondary education 80 • Larger amount spent per-student in Northern 70 State than the northern Sudan average in 60 general but very small amount per-student percent 50 on goods and services 40 30 20 10 0 0 1 2 3 4 5 6 7 8 years of schooling northern Sudan Northern State 194 • Appendix: State-Level Data Sheets—Red Sea State: Red Sea Year: 2008–09 Indicator State Northern Sudan State–northern Sudan ratio Demographic pressure (population ages 5–16 as a percentage of total population) 35 32 1.09 School life expectancy, excluding higher education 3.1 6.3 0.49 Effort: spending per school-age population (SDG) 102 165 0.62 Efficiency of education spending: spending per child (in population) per year of SLE produced (SDG) 33 26 1.27 Student Flow and Socioeconomic Disparities Share of girls in total Share of private school Gross enrollment rate enrollments enrollments (percent) (percent) (percent) Education level Enrollments State Northern Sudan State Northern Sudan State Northern Sudan Preschool 48,827 64 37 40 47 — — Basic 110,707 37 72 44 46 10 5 Secondary 16,759 17 29 47 48 22 23 Academic 15,685 16 28 48 49 23 24 Technical 1,074 1 1 26 25 0 0 Literacy program 36,189 n.a. n.a. n.a. n.a. n.a. n.a. Note: — = not available; n.a. = not applicable. Student Annual Growth Rate 2005–09 Share of Enrollment in Basic Education percent percent Education level State Northern Sudan Schools State Northern Sudan Preschool 72 15 Nomadic 5 3 Basic 2 5 IDP 0 4 Secondary –1 7 Educational Pyramid for Red Sea (Basic and KEY POINTS Secondary Only) General 11 • Demographic data problem 10 • Very low school life expectancy (less than half of 9 secondary years of schooling 8 northern Sudan SLE average) 7 • Relatively less effort for education 6 • Relatively low efficiency in use of resources 5 4 basic Preschool 3 • Huge increase in preschool enrollment 2 1 • GER 70 percent (highest coverage) 0 Basic education 0 10 20 30 40 50 60 70 80 90 100 • Low coverage (GER almost half the average) % of corresponding age group • Low increase in enrollment (no catchup process) northern Sudan Red Sea Secondary education • Low coverage (GER) • Low increase in enrollment Appendix: State-Level Data Sheets—Red Sea • 195 Internal Efficiency percent Gross intake rate Completion rate Retention rate Share of repeaters Education level State Northern Sudan State Northern Sudan State Northern Sudan State Northern Sudan Basic 66 80 20 54 31 68 9 4 Secondary 16 34 13 25 79 72 — 14 Note: — = not available. KEY POINTS Basic education Secondary education • Low intake • High retention • Very low retention, low completion • High dropout (occurring mainly within the cycle) • High transition between basic education and secondary cycle Government School: Teachers Voluntary and national Student-teacher ratio service (percent) Teacher-nonteacher ratio Education level State Northern Sudan State Northern Sudan State Northern Sudan Preschool 198 48 87 33 6 18 Basic 27 33 6 3 5 5 Secondary 18 16 32 8 1 1 Government School: Facilities Students per school Students per form Education level State Northern Sudan State Northern Sudan Preschool — — — — Basic 240 332 41 48 Secondary 274 238 41 45 Note: — = not available. Education Expenditures percent Indicator State Northern Sudan Education as a percentage of all expenditures 19 27 Salaries as a percentage of education expenditures 59 85 196 • Appendix: State-Level Data Sheets—Red Sea Per-Student Spending at the State Level Sudanese pounds State Relative to northern Sudan Indicator Preschool Basic Secondary Preschool Basic Secondary Total 51.7 304.5 933.4 0.4 1.3 1.3 Teachers 33.9 248.6 529.9 0.3 1.2 1.0 Nonteachers 14.5 30.3 163.6 2.2 1.0 1.2 Goods and services 3.3 25.6 239.8 0.4 2.9 5.4 Degree of Randomness in Teacher Allocations, KEY POINTS Primary School General 100 • Low share of education budget 90 • Intensive use of volunteer teachers 80 • High share of goods and services spending 70 60 percent Preschool 50 • Very high STR 40 Basic education 30 • Smaller STR 20 10 • Smaller school size 0 Secondary education um n a le s da Se te Ni to sta Su d • Slightly high STR ue ar Re n of Kh Bl er p rth ou • Bigger school size no gr Note: Group of states is the average for all states in northern Sudan except for Red Sea, Blue Nile, and Khartoum. Disaggregated data were unavailable for the other states, so just the average is included. KEY POINTS Literacy Rates for Adults 20–30 Years Old, by Number • Very low on both access and retention of Years of School • Very small secondary education coverage • Low effort on education 100 • Intensive use of volunteers teachers 90 80 70 60 percent 50 40 30 20 10 0 0 1 2 3 4 5 6 7 8 years of schooling northern Sudan Red Sea Appendix: State-Level Data Sheets—River Nile • 197 State: River Nile Year: 2008–09 Indicator State Northern Sudan State–northern Sudan ratio Demographic pressure (population ages 5–16 as a percentage of total population) 28 32 0.86 School life expectancy, excluding higher education 7.8 6.3 1.24 Effort: spending per school-age population (SDG) 360 165 2.18 Efficiency of education spending: spending per child (in population) per year of SLE produced (SDG) 46 26 1.76 Student Flow and Socioeconomic Disparities Share of girls in total Share of private school Gross enrollment rate enrollments enrollments (percent) (percent) (percent) Education level Enrollments State Northern Sudan State Northern Sudan State Northern Sudan Preschool 37,878 65 37 51 47 — — Basic 183,605 89 72 47 46 1 5 Secondary 33,875 47 29 53 48 5 23 Academic 31,907 44 28 55 49 5 24 Technical 1,968 3 1 20 25 0 0 Literacy program 5,335 n.a. n.a. n.a. n.a. n.a. n.a. Note: — = not available; n.a. = not applicable. Student Annual Growth Rate 2005–09 Share of Enrollment in Basic Education percent percent Education level State Northern Sudan Schools State Northern Sudan Preschool 14 15 Nomadic 4 3 Basic 0 5 IDP 0 4 Secondary 4 7 Educational Pyramid for River Nile (Basic and KEY POINTS Secondary Only) General 11 • Relatively low demographic pressure 10 9 secondary • Relatively high school life expectancy years of schooling 8 • High level of spending per school-age population 7 • Less efficient use of resources 6 • Very low share of private schools 5 4 basic Preschool 3 • High GER 2 • More girls than boys enrolled 1 0 Basic education 0 10 20 30 40 50 60 70 80 90 100 • Better coverage (GER 12 percentage points % of corresponding age group higher than the average) northern Sudan River Nile • But no increase in GER (no improvement process) • Higher share of nomadic schools than the average Secondary education • Better coverage (GER 16 percentage points higher than the average) • Relatively low increase in enrollment 198 • Appendix: State-Level Data Sheets—River Nile Internal Efficiency percent Gross intake rate Completion rate Retention rate Share of repeaters Education level State Northern Sudan State Northern Sudan State Northern Sudan State Northern Sudan Basic 92 80 70 54 76 68 7 4 Secondary 49 34 36 25 73 72 — 14 Note: — = not available. KEY POINTS Basic education Secondary education • High intake rate • Low retention • Low retention • High dropout • High dropout • Relatively high completion rate • High transition between basic education and secondary cycle Government School: Teachers Voluntary and national Student-teacher ratio service (percent) Teacher-nonteacher ratio Education level State Northern Sudan State Northern Sudan State Northern Sudan Preschool 175 48 86 33 24 18 Basic 22 33 0 3 5 5 Secondary 13 16 0 8 0 1 Government School: Facilities Students per school Students per form Education level State Northern Sudan State Northern Sudan Preschool — — — — Basic 241 332 37 48 Secondary 199 238 41 45 Note: — = not available. Education Expenditures percent Indicator State Northern Sudan Education as a percentage of all expenditures 32 27 Salaries as a percentage of education expenditures 96 85 Appendix: State-Level Data Sheets—River Nile • 199 Per-Student Spending at the State Level Sudanese pounds State Relative to northern Sudan Indicator Preschool Basic Secondary Preschool Basic Secondary Total 43.9 425.5 890.5 0.4 1.8 1.3 Teachers 36.8 359.6 661.0 0.3 1.8 1.3 Nonteachers 5.9 57.3 211.6 0.9 2.0 1.6 Goods and services 1.3 8.5 17.8 0.2 1.0 0.4 Degree of Randomness in Teacher Allocations, KEY POINTS Primary School General 100 • High share of education budget 90 • Very high share of wages and salaries 80 Preschool 70 60 percent • Very high STR 50 • Intensive use of volunteer teachers 40 • Low per-student spending 30 Basic education 20 10 • Low STR 0 • No volunteer teachers um n a le s da Se te Ni to sta Su d • High per-student spending ue ar Re n of Kh Bl er p rth • Smaller school size ou no gr Secondary education Note: Group of states is the average for all states in northern Sudan • Low STR except for Red Sea, Blue Nile, and Khartoum. Disaggregated data were • High per-student spending unavailable for the other states, so just the average is included. • Smaller school size Literacy Rates for Adults 20–30 Years Old, by Number KEY POINTS of Years of School • Great effort and high per-student spending. 100 • High dropout in both basic and secondary 90 education 80 70 60 percent 50 40 30 20 10 0 0 1 2 3 4 5 6 7 8 years of schooling northern Sudan River Nile 200 • Appendix: State-Level Data Sheets—Khartoum State: Khartoum Year: 2008–09 Indicator State Northern Sudan State–northern Sudan ratio Demographic pressure (population ages 5–16 as a percentage of total population) 32 32 0.99 School life expectancy, excluding higher education 8.8 6.3 1.40 Effort: spending per school-age population (SDG) 216 165 1.31 Efficiency of education spending: spending per child (in population) per year of SLE produced (SDG) 24 26 0.94 Student Flow and Socioeconomic Disparities Share of girls in total Share of private school Gross enrollment rate enrollments enrollments (percent) (percent) (percent) Education level Enrollments State Northern Sudan State Northern Sudan State Northern Sudan Preschool 111,497 43 37 49 47 Basic 862,170 94 72 50 46 13 5 Secondary 205,801 61 29 51 48 44 23 Academic 198,465 59 28 52 49 46 24 Technical 7,336 2 1 22 25 0 0 Literacy program 0 n.a. n.a. n.a. n.a. n.a. n.a. Note: — = not available; n.a. = not applicable. Student Annual Growth Rate 2005–09 Share of Enrollment in Basic Education percent percent Education level State Northern Sudan Schools State Northern Sudan Preschool 4 15 Nomadic 0 3 Basic 6 5 IDP 0 4 Secondary 14 7 Educational Pyramid for Khartoum (Basic and KEY POINTS Secondary Only) General 11 • Relatively high school life expectancy 10 • High level of spending per school-age population 9 secondary years of schooling 8 • Very high share of private schools 7 Preschool 6 • High GER 5 4 basic • Very small increase over the past 5 years 3 • More girls than boys enrolled 2 1 Basic education 0 • Better coverage (GER 22 percentage points 0 10 20 30 40 50 60 70 80 90 100 higher than the average) % of corresponding age group • Steady increase in GER northern Sudan Khartoum Secondary education • Better coverage (more than two times higher than the average) • Rapid and sharp increase in enrollment and GER Appendix: State-Level Data Sheets—Khartoum • 201 Internal Efficiency percent Gross intake rate Completion rate Retention rate Share of repeaters Education level State Northern Sudan State Northern Sudan State Northern Sudan State Northern Sudan Basic 97 80 88 54 91 68 1 4 Secondary 53 34 40 25 75 72 — 14 Note: — = not available. KEY POINTS Basic education Secondary education • High intake rate • Low retention • High retention • High dropout • Relatively high completion rate • Limited transition between basic education and secondary cycle Government School: Teachers Voluntary and national Student-teacher ratio service (percent) Teacher-nonteacher ratio Education level State Northern Sudan State Northern Sudan State Northern Sudan Preschool 15 48 0 33 50 18 Basic 30 33 0 3 5 5 Secondary 16 16 0 8 0 1 Government School: Facilities Students per school Students per form Education level State Northern Sudan State Northern Sudan Preschool — — — — Basic 474 332 51 48 Secondary 313 238 47 45 Note: — = not available. Education Expenditures percent Indicator State Northern Sudan Education as a percentage of all expenditures 23 27 Salaries as a percentage of education expenditures 80 85 202 • Appendix: State-Level Data Sheets—Khartoum Per-Student Spending at the State Level Sudanese pounds State Relative to northern Sudan Indicator Preschool Basic Secondary Preschool Basic Secondary Total 329.2 274.4 727.9 2.6 1.1 1.0 Teachers 261.8 233.4 467.3 2.4 1.2 0.9 Nonteachers 4.5 25.9 198.0 0.7 0.9 1.5 Goods and services 62.9 15.1 62.5 8.5 1.7 1.4 Degree of Randomness in Teacher Allocations, KEY POINTS Primary School General 100 • Low STR for all levels of education 90 • No volunteers teachers 80 • Smaller share of resources allocated to education 70 percent 60 Preschool 50 • Large number of teachers per nonteaching staff 40 (2.5 times larger than the average) 30 • High per-student spending (2.6 times higher 20 10 than the average) 0 • More spending on goods and services (8.5 times um a le n s te Se da Ni to sta Su d larger than the average) ue ar Re of n Kh Bl er p rth Basic education ou no gr • No volunteer teachers Note: Group of states is the average for all states in northern Sudan • Bigger school size except for Red Sea, Blue Nile, and Khartoum. Disaggregated data were • Larger class size unavailable for the other states, so just the average is included. • High per-student spending (2.4 times higher than the average) • More spending on goods and services Secondary education • Bigger school size • More spending on goods and services Literacy Rates for Adults 20–30 Years Old, by Number KEY POINTS of Years of School Basic education 100 • Very weak relationship between number of 90 teachers and number of students 80 70 60 percent 50 40 30 20 10 0 0 1 2 3 4 5 6 7 8 years of schooling northern Sudan Khartoum Appendix: State-Level Data Sheets—Al Jazirah • 203 State: Al Jazirah Year: 2008–09 Indicator State Northern Sudan State–northern Sudan ratio Demographic pressure (population ages 5–16 as a percentage of total population) 33 32 1.03 School life expectancy, excluding higher education 8.6 6.3 1.35 Effort: spending per school-age population (SDG) 272 165 1.65 Efficiency of education spending: spending per child (in population) per year of SLE produced (SDG) 32 26 1.22 Student Flow and Socioeconomic Disparities Share of girls in total Share of private school Gross enrollment rate enrollments enrollments (percent) (percent) (percent) Education level Enrollments State Northern Sudan State Northern Sudan State Northern Sudan Preschool 92,878 44 37 51 47 — — Basic 667,422 90 72 47 46 1 5 Secondary 144,578 57 29 52 48 10 23 Academic 141,276 56 28 53 49 10 24 Technical 3,302 1 1 15 25 0 0 Literacy program 13,354 n.a. n.a. n.a. n.a. n.a. n.a. Note: — = not available; n.a. = not applicable. Student Annual Growth Rate 2005–09 Share of Enrollment in Basic Education percent percent Education level State Northern Sudan Schools State Northern Sudan Preschool 11 15 Nomadic 0 3 Basic 0 5 IDP 0 4 Secondary 6 7 Educational Pyramid for Al Jazirah (Basic and KEY POINTS Secondary Only) General 11 • Relatively low demographic pressure 10 secondary • Relatively high school life expectancy 9 years of schooling 8 • High level of spending per school-age 7 population 6 • Less efficient use of resources 5 4 basic • Low share of private schools 3 Preschool 2 • High GER 1 0 • More girls than boys enrolled 0 10 20 30 40 50 60 70 80 90 100 Basic education % of corresponding age group • High GER (18 percentage points higher than the northern Sudan Al Jazirah average) • No increase in GER Secondary education • High GER (two times the average) • No enrollment increase 204 • Appendix: State-Level Data Sheets—Al Jazirah Internal Efficiency percent Gross intake rate Completion rate Retention rate Share of repeaters Education level State Northern Sudan State Northern Sudan State Northern Sudan State Northern Sudan Basic 94 80 70 54 75 68 2 4 Secondary 62 34 47 25 75 72 — 14 Note: — = not available. KEY POINTS Basic education Secondary education • High intake rate • Low retention • High retention • High dropout • Relatively high completion rate • Limited transition between basic education and secondary cycle Government School: Teachers Voluntary and national Student-teacher ratio service (percent) Teacher-nonteacher ratio Education level State Northern Sudan State Northern Sudan State Northern Sudan Preschool 15 48 0 33 50 18 Basic 30 33 0 3 5 5 Secondary 16 16 0 8 0 1 Government School: Facilities Students per school Students per form Education level State Northern Sudan State Northern Sudan Preschool — — — — Basic 474 332 51 48 Secondary 313 238 47 45 Note: — = not available. Education Expenditures percent Indicator State Northern Sudan Education as a percentage of all expenditures 47 27 Salaries as a percentage of education expenditures 92 85 Appendix: State-Level Data Sheets—Al Jazirah • 205 Per-Student Spending at the State Level Sudanese pounds State Relative to northern Sudan Indicator Preschool Basic Secondary Preschool Basic Secondary Total 264.0 277.7 662.1 2.1 1.2 1.0 Teachers 250.2 238.3 545.4 2.3 1.2 1.1 Nonteachers 10.5 35.2 99.8 1.6 1.2 0.8 Goods and services 3.3 4.1 16.9 0.4 0.5 0.4 Degree of Randomness in Teacher Allocations, KEY POINTS Primary School Preschool 100 • Low STR 90 • Low share of volunteers 80 • Large number of teachers per nonteaching staff 70 Basic education percent 60 50 • Large share of volunteer teachers (two times the 40 average) 30 • Relatively high per-student spending (1.2 times 20 higher than the average) 10 • Very low spending on goods and services 0 a s le um n te Se da Ni Secondary education sta to Su d ue ar Re of n Bl Kh • Smaller school size er p rth ou no gr • Smaller class size • Very low spending on goods and services Note: Group of states is the average for all states in northern Sudan except for Red Sea, Blue Nile, and Khartoum. Disaggregated data were unavailable for the other states, so just the average is included. Literacy Rates for Adults 20–30 Years Old, by Number of Years of School 100 90 80 70 60 percent 50 40 30 20 10 0 0 1 2 3 4 5 6 7 8 years of schooling northern Sudan Al Jazirah 206 • Appendix: State-Level Data Sheets—Blue Nile State: Blue Nile Year: 2008–09 Indicator State Northern Sudan State–northern Sudan ratio Demographic pressure (population ages 5–16 as a percentage of total population) 34 32 1.06 School life expectancy, excluding higher education 5.6 6.3 0.88 Effort: spending per school-age population (SDG) 201 165 1.22 Efficiency of education spending: spending per child (in population) per year of SLE produced (SDG) 36 26 1.39 Student Flow and Socioeconomic Disparities Share of girls in total Share of private school Gross enrollment rate enrollments enrollments (percent) (percent) (percent) Education level Enrollments State Northern Sudan State Northern Sudan State Northern Sudan Preschool 12,248 20 37 50 47 — — Basic 122,786 65 72 44 46 0 5 Secondary 10,835 20 29 37 48 16 23 Academic 10,221 19 28 37 49 17 24 Technical 614 1 1 34 25 0 0 Literacy program 0 n.a. n.a. n.a. n.a. n.a. n.a. Note: — = not available; n.a. = not applicable. Student Annual Growth Rate 2005–09 Share of Enrollment in Basic Education percent percent Education level State Northern Sudan Schools State Northern Sudan Preschool 26 15 Nomadic 2 3 Basic 7 5 IDP 0 4 Secondary 8 7 Educational Pyramid for Blue Nile (Basic and KEY POINTS Secondary Only) General 11 • Relatively low school life expectancy 10 • High level of spending per school-age 9 secondary years of schooling 8 population 7 • Less efficient use of resources 6 • Low share of private schools 5 4 basic Preschool 3 • Low GER 2 • No increase in GER over the past 5 years 1 0 • More girls than boys enrolled 0 10 20 30 40 50 60 70 80 90 100 Basic education % of corresponding age group • Lower GER (7 percentage points lower than northern Sudan Blue Nile the average) • Rapid increase in GER Secondary education • Very low GER • No increase in enrollment Appendix: State-Level Data Sheets—Blue Nile • 207 Internal Efficiency percent Gross intake rate Completion rate Retention rate Share of repeaters Education level State Northern Sudan State Northern Sudan State Northern Sudan State Northern Sudan Basic 81 80 32 54 40 68 0 4 Secondary 19 34 40 25 73 72 — 14 Note: — = not available. KEY POINTS Basic education Secondary education • Intake at the average level • Low intake rate • Very low retention • High retention • Low completion • High dropout (occurring mainly within the cycle) • Relatively limited transition between basic education and secondary cycle Government School: Teachers Voluntary and national Student-teacher ratio service (percent) Teacher-nonteacher ratio Education level State Northern Sudan State Northern Sudan State Northern Sudan Preschool 71 48 0 33 22 18 Basic 24 33 11 3 5 5 Secondary 7 16 69 8 1 1 Government School: Facilities Students per school Students per form Education level State Northern Sudan State Northern Sudan Preschool — — — — Basic 291 332 49 48 Secondary 201 238 37 45 Note: — = not available. Education Expenditures percent Indicator State Northern Sudan Education as a percentage of all expenditures 19 27 Salaries as a percentage of education expenditures 88 85 208 • Appendix: State-Level Data Sheets—Blue Nile Per-Student Spending at the State Level Sudanese pounds State Relative to northern Sudan Indicator Preschool Basic Secondary Preschool Basic Secondary Total 105.5 304.6 1,397.4 0.8 1.3 2.0 Teachers 82.0 255.6 998.9 0.7 1.3 1.9 Nonteachers 2.7 36.0 207.8 0.4 1.2 1.6 Goods and services 20.8 13.0 190.7 2.8 1.5 4.3 Degree of Randomness in Teacher Allocations, KEY POINTS Primary School General 100 • Smaller school size 90 Preschool 80 • High STR 70 percent 60 • No volunteer teachers 50 • Large number of teachers per nonteaching staff 40 • Low per-student spending 30 • More spending on goods and services (2.8 times 20 10 the average) 0 Basic education a s le um n te Se da Ni sta to • Low STR Su d ue ar Re of n Bl Kh er p • Relatively high per-student spending rth ou no gr (30 percent higher than the average) Note: Group of states is the average for all states in northern Sudan • More spending on goods and services except for Red Sea, Blue Nile, and Khartoum. Disaggregated data were Secondary education unavailable for the other states, so just the average is included. • High per-student spending (2 times the average) • More spending on goods and services (4.3 times the average) Literacy Rates for Adults 20–30 Years Old, by Number of Years of School 100 90 80 70 60 percent 50 40 30 20 10 0 0 1 2 3 4 5 6 7 8 years of schooling northern Sudan Blue Nile Appendix: State-Level Data Sheets—Sinnar • 209 State: Sinnar Year: 2008–09 Indicator State Northern Sudan State–northern Sudan ratio Demographic pressure (population ages 5–16 as a percentage of total population) 26 32 0.82 School life expectancy, excluding higher education 6.8 6.3 1.08 Effort: spending per school-age population (SDG) 175 165 1.06 Efficiency of education spending: spending per child (in population) per year of SLE produced (SDG) 26 26 0.98 Student Flow and Socioeconomic Disparities Share of girls in total Share of private school Gross enrollment rate enrollments enrollments (percent) (percent) (percent) Education level Enrollments State Northern Sudan State Northern Sudan State Northern Sudan Preschool 11,260 13 37 41 47 — — Basic 228,286 80 72 46 46 1 5 Secondary 27,940 31 29 48 48 7 23 Academic 27,234 30 28 49 49 8 24 Technical 706 1 1 37 25 0 0 Literacy program 9,946 n.a. n.a. n.a. n.a. n.a. n.a. Note: — = not available; n.a. = not applicable. Student Annual Growth Rate 2005–09 Share of Enrollment in Basic Education percent percent Education level State Northern Sudan Schools State Northern Sudan Preschool 5 15 Nomadic 2 3 Basic 6 5 IDP 0 4 Secondary 7 7 Educational Pyramid for Sinnar (Basic and KEY POINTS Secondary Only) General 11 • Relatively low demographic pressure 10 9 secondary • Low share of private schools years of schooling 8 Preschool 7 • Low GER 6 • Disparity against girls 5 4 basic Basic education 3 • GER at the average level 2 • Steady increase in GER 1 0 Secondary education 0 10 20 30 40 50 60 70 80 90 100 • GER at the average level % of corresponding age group • No GER increase northern Sudan Sinnar 210 • Appendix: State-Level Data Sheets—Sinnar Internal Efficiency percent Gross intake rate Completion rate Retention rate Share of repeaters Education level State Northern Sudan State Northern Sudan State Northern Sudan State Northern Sudan Basic 75 80 63 54 83 68 7 4 Secondary 37 34 22 25 58 72 — 14 Note: — = not available. KEY POINTS Basic education Secondary education • Intake rate lower than the average • Low intake rate • High retention • Low retention • Relatively high completion rate • High dropout • Limited transition between basic education and • Low completion secondary cycle Government School: Teachers Voluntary and national Student-teacher ratio service (percent) Teacher-nonteacher ratio Education level State Northern Sudan State Northern Sudan State Northern Sudan Preschool 31 48 0 33 4 18 Basic 33 33 0 3 8 5 Secondary 13 16 0 8 5 1 Government School: Facilities Students per school Students per form Education level State Northern Sudan State Northern Sudan Preschool — — — — Basic 335 332 50 48 Secondary 149 238 53 45 Note: — = not available. Education Expenditures percent Indicator State Northern Sudan Education as a percentage of all expenditures 37 27 Salaries as a percentage of education expenditures 92 85 Appendix: State-Level Data Sheets—Sinnar • 211 Per-Student Spending at the State Level Sudanese pounds State Relative to northern Sudan Indicator Preschool Basic Secondary Preschool Basic Secondary Total 160.1 211.6 774.1 1.3 0.9 1.1 Teachers 132.3 190.7 708.8 1.2 0.9 1.4 Nonteachers 21.6 17.0 51.2 3.3 0.6 0.4 Goods and services 6.2 3.9 14.2 0.8 0.4 0.3 Degree of Randomness in Teacher Allocations, KEY POINTS Primary School General 100 • No volunteer teachers 90 • High share of resources allocated to education 80 • Very high share of wages and salaries within the 70 60 education budget percent 50 Preschool 40 • Small number of teacher per nonteaching staff 30 • High per-student spending (30 percent higher 20 10 than the average) 0 • Very small spending on goods and services a s le um n te Se da Ni sta to Su Basic education d ue ar Re of n Bl Kh er p • Large class size rth ou no gr • STR and per-student spending similar to country Note: Group of states is the average for all states in northern Sudan average except for Red Sea, Blue Nile, and Khartoum. Disaggregated data were • Very small spending on goods and services unavailable for the other states, so just the average is included. Secondary education • Smaller school size • Smaller STR • Bigger class size Literacy Rates for Adults 20–30 Years Old, by Number of Years of School 100 90 80 70 60 percent 50 40 30 20 10 0 0 1 2 3 4 5 6 7 8 years of schooling northern Sudan Sinnar 212 • Appendix: State-Level Data Sheets—White Nile State: White Nile Year: 2008–09 Indicator State Northern Sudan State–northern Sudan ratio Demographic pressure (population ages 5–16 as a percentage of total population) 31 32 0.97 School life expectancy, excluding higher education 7.6 6.3 1.20 Effort: spending per school-age population (SDG) 178 165 1.07 Efficiency of education spending: spending per child (in population) per year of SLE produced (SDG) 23 26 0.90 Student Flow and Socioeconomic Disparities Share of girls in total Share of private school Gross enrollment rate enrollments enrollments (percent) (percent) (percent) Education level Enrollments State Northern Sudan State Northern Sudan State Northern Sudan Preschool 47,282 43 37 49 47 — — Basic 320,967 85 72 46 46 4 5 Secondary 43,772 37 29 48 48 11 23 Academic 41,265 35 28 49 49 12 24 Technical 2,507 2 1 37 25 0 0 Literacy program 0 n.a. n.a. n.a. n.a. n.a. n.a. Note: — = not available; n.a. = not applicable. Student Annual Growth Rate 2005–09 Share of Enrollment in Basic Education percent percent Education level State Northern Sudan Schools State Northern Sudan Preschool 17 15 Nomadic 2 3 Basic 8 5 IDP 0 4 Secondary 6 7 Educational Pyramid for White Nile (Basic and KEY POINTS Secondary Only) General 11 • School life expectancy higher than northern 10 9 secondary Sudan average years of schooling 8 • More efficient use of resources 7 • Low share of private schools 6 Preschool 5 4 basic • Higher GER 3 • Relatively high GER increase 2 Basic education 1 0 • Higher GER 0 10 20 30 40 50 60 70 80 90 100 • Steady increase in GER % of corresponding age group Secondary education northern Sudan White Nile • Higher GER • Little GER increase Appendix: State-Level Data Sheets—White Nile • 213 Internal Efficiency percent Gross intake rate Completion rate Retention rate Share of repeaters Education level State Northern Sudan State Northern Sudan State Northern Sudan State Northern Sudan Basic 93 80 65 54 70 68 3 4 Secondary 42 34 27 25 64 72 — 14 Note: — = not available. KEY POINTS Basic education Secondary education • Intake rate larger than the average • Low intake rate • Low retention • Very low retention • Relatively high completion rate • High dropout • Limited transition between basic education and • Low completion secondary cycle Government School: Teachers Voluntary and national Student-teacher ratio service (percent) Teacher-nonteacher ratio Education level State Northern Sudan State Northern Sudan State Northern Sudan Preschool 75 48 66 33 37 18 Basic 30 33 12 3 8 5 Secondary 17 16 33 8 3 1 Government School: Facilities Students per school Students per form Education level State Northern Sudan State Northern Sudan Preschool — — — — Basic 332 332 51 48 Secondary 250 238 41 45 Note: — = not available. Education Expenditures percent Indicator State Northern Sudan Education as a percentage of all expenditures 37 27 Salaries as a percentage of education expenditures 91 85 214 • Appendix: State-Level Data Sheets—White Nile Per-Student Spending at the State Level Sudanese pounds State Relative to northern Sudan Indicator Preschool Basic Secondary Preschool Basic Secondary Total 73.2 216.3 596.0 0.6 0.9 0.9 Teachers 65.1 192.5 481.8 0.6 1.0 0.9 Nonteachers 4.8 21.0 76.7 0.7 0.7 0.6 Goods and services 3.4 2.8 37.5 0.5 0.3 0.9 Degree of Randomness in Teacher Allocations, KEY POINTS Primary School General 100 • Large share of volunteer teachers 90 • High share of resources allocated to education 80 • High share of wages and salaries within the 70 percent 60 education budget 50 Preschool 40 • Very high STR 30 • Large number of teachers per nonteaching staff 20 10 • Low per-student spending 0 • Very small spending on goods and services a s le um n te Se da Ni sta to Basic education Su d ue ar Re of n Bl Kh er p • STR and per-student spending similar to country rth ou no gr average Note: Group of states is the average for all states in northern Sudan • Per-student spending similar to country average except for Red Sea, Blue Nile, and Khartoum. Disaggregated data were • Very small spending on goods and services unavailable for the other states, so just the average is included. Secondary education • Per-student spending similar to country average Literacy Rates for Adults 20–30 Years Old, by Number of Years of School 100 90 80 70 60 percent 50 40 30 20 10 0 0 1 2 3 4 5 6 7 8 years of schooling northern Sudan White Nile Appendix: State-Level Data Sheets—North Kordofan • 215 State: North Kordofan Year: 2008–09 Indicator State Northern Sudan State–northern Sudan ratio Demographic pressure (population ages 5–16 as a percentage of total population) 32 32 1.01 School life expectancy, excluding higher education 6.2 6.3 0.98 Effort: spending per school-age population (SDG) 130 165 0.79 Efficiency of education spending: spending per child (in population) per year of SLE produced (SDG) 21 26 0.80 Student Flow and Socioeconomic Disparities Share of girls in total Share of private school Gross enrollment rate enrollments enrollments (percent) (percent) (percent) Education level Enrollments State Northern Sudan State Northern Sudan State Northern Sudan Preschool 47,875 23 37 51 47 — — Basic 529,672 78 72 45 46 3 5 Secondary 43,632 23 29 49 48 9 23 Academic 41,421 22 28 49 49 10 24 Technical 2,211 1 1 30 25 0 0 Literacy program 11,067 n.a. n.a. n.a. n.a. n.a. n.a. Note: — = not available; n.a. = not applicable. Student Annual Growth Rate 2005–09 Share of Enrollment in Basic Education percent percent Education level State Northern Sudan Schools State Northern Sudan Preschool –11 15 Nomadic 2 3 Basic 9 5 IDP 0 4 Secondary 4 7 Educational Pyramid for North Kordofan (Basic and KEY POINTS Secondary Only) General 11 • School life expectancy same as northern Sudan 10 secondary average 9 years of schooling 8 • Low level of spending per school-age 7 population 6 • More efficient use of resources 5 4 basic • Low share of private schools 3 Preschool 2 • Low GER 1 0 • Decrease in GER over the past 5 years 0 10 20 30 40 50 60 70 80 90 100 • More girls than boys enrolled % of corresponding age group Basic education northern Sudan North Kordofan • Higher GER (6 percentage points higher than the average) • Rapid increase in GER Secondary education • Low GER • Limited increase in enrollment 216 • Appendix: State-Level Data Sheets—North Kordofan Internal Efficiency percent Gross intake rate Completion rate Retention rate Share of repeaters Education level State Northern Sudan State Northern Sudan State Northern Sudan State Northern Sudan Basic 76 80 54 54 72 68 9 4 Secondary 27 34 16 25 58 72 — 14 Note: — = not available. KEY POINTS Basic education Secondary education • Intake rate a bit lower than the average • Low intake rate • Better retention than the average • Low retention • Completion rate at the average level • High dropout • Limited transition between basic education • Low completion and secondary cycle Government School: Teachers Voluntary and national Student-teacher ratio service (percent) Teacher-nonteacher ratio Education level State Northern Sudan State Northern Sudan State Northern Sudan Preschool 76 48 53 33 15 18 Basic 42 33 1 3 5 5 Secondary 16 16 6 8 1 1 Government School: Facilities Students per school Students per form Education level State Northern Sudan State Northern Sudan Preschool — — — — Basic 277 332 46 48 Secondary 271 238 48 45 Note: — = not available. Education Expenditures percent Indicator State Northern Sudan Education as a percentage of all expenditures 29 27 Salaries as a percentage of education expenditures 86 85 Appendix: State-Level Data Sheets—North Kordofan • 217 Per-Student Spending at the State Level Sudanese pounds State Relative to northern Sudan Indicator Preschool Basic Secondary Preschool Basic Secondary Total 64.8 174.3 642.0 0.5 0.7 0.9 Teachers 52.5 146.5 497.5 0.5 0.7 1.0 Nonteachers 7.6 24.2 115.1 1.1 0.8 0.9 Goods and services 4.7 3.7 29.4 0.6 0.4 0.7 Degree of Randomness in Teacher Allocations, KEY POINTS Primary School General 100 • Close to the northern Sudan average on 90 percentage of education expenditure 80 Preschool 70 percent 60 • Very high student-teacher ratio 50 • Intensive use of volunteers 40 • Low per-student spending (half the average) 30 Basic education 20 10 • STR larger than the average but close to 0 benchmark a s le um n te Se da Ni sta to Su • Low per-student spending compared to country d ue ar Re of n Bl Kh er p average rth ou no gr • Very small spending on goods and services Note: Group of states is the average for all states in northern Sudan Secondary education except for Red Sea, Blue Nile, and Khartoum. Disaggregated data were • Bigger school size than the country average unavailable for the other states, so just the average is included. • Per-student spending close to country average Literacy Rates for Adults 20–30 Years Old, by Number of Years of School 100 90 80 70 60 percent 50 40 30 20 10 0 0 1 2 3 4 5 6 7 8 years of schooling northern Sudan North Kordofan 218 • Appendix: State-Level Data Sheets—South Kordofan State: South Kordofan Year: 2008–09 Indicator State Northern Sudan State–northern Sudan ratio Demographic pressure (population ages 5–16 as a percentage of total population) 33 32 1.02 School life expectancy, excluding higher education 7.2 6.3 1.14 Effort: spending per school-age population (SDG) 148 165 0.90 Efficiency of education spending: spending per child (in population) per year of SLE produced (SDG) 21 26 0.79 Student Flow and Socioeconomic Disparities Share of girls in total Share of private school Gross enrollment rate enrollments enrollments (percent) (percent) (percent) Education level Enrollments State Northern Sudan State Northern Sudan State Northern Sudan Preschool 55,728 52 37 45 47 — — Basic 273,102 82 72 45 46 3 5 Secondary 29,542 32 29 41 48 10 23 Academic 29,233 32 28 42 49 10 24 Technical 309 0 1 0 25 0 0 Literacy program 16,464 n.a. n.a. n.a. n.a. n.a. n.a. Note: — = not available; n.a. = not applicable. Student Annual Growth Rate 2005–09 Share of Enrollment in Basic Education percent percent Education level State Northern Sudan Schools State Northern Sudan Preschool 34 15 Nomadic 2 3 Basic 7 5 IDP 0 4 Secondary 19 7 Educational Pyramid for South Kordofan (Basic and KEY POINTS Secondary Only) General 11 • School life expectancy higher than northern 10 9 secondary Sudan average (1 more year) years of schooling 8 • Low level of spending per school-age population 7 • More efficient use of resources 6 Preschool 5 4 basic • High GER 3 • Sharp increase in enrollment for the latest year 2 Basic education 1 0 • Higher GER than the average 0 10 20 30 40 50 60 70 80 90 100 • Large increase in enrollment over the % of corresponding age group past 5 years northern Sudan South Kordofan Secondary education • GER a bit higher than the average • Large increase in enrollment over the past 5 years Appendix: State-Level Data Sheets—South Kordofan • 219 Internal Efficiency percent Gross intake rate Completion rate Retention rate Share of repeaters Education level State Northern Sudan State Northern Sudan State Northern Sudan State Northern Sudan Basic 80 80 73 54 92 68 4 4 Secondary 34 34 30 25 88 72 — 14 Note: — = not available. KEY POINTS General Secondary education • Student flow very well managed • High retention Basic education • High intake rate but not universal • High retention • Relatively high completion rate • Limited transition between basic education and secondary cycle Government School: Teachers Voluntary and national Student-teacher ratio service (percent) Teacher-nonteacher ratio Education level State Northern Sudan State Northern Sudan State Northern Sudan Preschool 153 48 0 33 97 18 Basic 39 33 0 3 3 5 Secondary 22 16 0 8 2 1 Government School: Facilities Students per school Students per form Education level State Northern Sudan State Northern Sudan Preschool — — — — Basic 246 332 39 48 Secondary 303 238 53 45 Note: — = not available. Education Expenditures percent Indicator State Northern Sudan Education as a percentage of all expenditures 14 27 Salaries as a percentage of education expenditures 86 85 220 • Appendix: State-Level Data Sheets—South Kordofan Per-Student Spending at the State Level Sudanese pounds State Relative to northern Sudan Indicator Preschool Basic Secondary Preschool Basic Secondary Total 41.1 201.7 416.3 0.3 0.8 0.6 Teachers 39.6 158.5 341.7 0.4 0.8 0.7 Nonteachers 0.3 37.6 62.9 0.0 1.3 0.5 Goods and services 1.2 5.7 11.7 0.2 0.6 0.3 Degree of Randomness in Teacher Allocations, KEY POINTS Primary School General 100 • No use of volunteer teachers 90 • Education spending much smaller than the 80 country average 70 60 percent Preschool 50 • Very high student-teacher ratio (more than 40 three times the average) 30 • Even fewer nonteacher staff members than 20 10 teachers 0 • Very low per-student spending a s le um n te Se da Ni sta to Su d Basic education ue ar Re of n Bl Kh er p rth • Smaller school size than the country average ou no gr • STR larger than the average but close to Note: Group of states is the average for all states in northern Sudan benchmark except for Red Sea, Blue Nile, and Khartoum. Disaggregated data were • Fewer teachers than nonteachers unavailable for the other states, so just the average is included. • Low per-student spending Secondary education • Bigger school size than the country average • Per-student spending smaller than the country average Literacy Rates for Adults 20–30 Years Old, by Number • Very small spending per-student on goods of Years of School and services 100 90 80 70 60 percent 50 40 30 20 10 0 0 1 2 3 4 5 6 7 8 years of schooling northern Sudan South Kordofan Appendix: State-Level Data Sheets—Northern Darfur • 221 State: Northern Darfur Year: 2008–09 Indicator State Northern Sudan State–northern Sudan ratio Demographic pressure (population ages 5–16 as a percentage of total population) 32 32 1.00 School life expectancy, excluding higher education 5.6 6.3 0.89 Effort: spending per school-age population (SDG) 115 165 0.69 Efficiency of education spending: spending per child (in population) per year of SLE produced (SDG) 20 26 0.78 Student Flow and Socioeconomic Disparities Share of girls in total Share of private school Gross enrollment rate enrollments enrollments (percent) (percent) (percent) Education level Enrollments State Northern Sudan State Northern Sudan State Northern Sudan Preschool 46,094 32 37 52 47 — — Basic 346,779 67 72 46 46 3 5 Secondary 31,927 21 29 42 48 5 23 Academic 30,231 20 28 42 49 5 24 Technical 1,696 1 1 39 25 0 0 Literacy program 0 n.a. n.a. n.a. n.a. n.a. n.a. Note: — = not available; n.a. = not applicable. Student Annual Growth Rate 2005–09 Share of Enrollment in Basic Education percent percent Education level State Northern Sudan Schools State Northern Sudan Preschool 17 15 Nomadic 5 3 Basic 10 5 IDP 18 4 Secondary –5 7 Educational Pyramid for Northern Darfur (Basic and KEY POINTS Secondary Only) General 11 • School life expectancy lower than northern 10 secondary Sudan average 9 years of schooling 8 • Low level of spending per school-age population 7 • More efficient use of resources 6 Preschool 5 4 basic • Lower GER than the average 3 • Sharp increase in enrollment for the latest year 2 Basic education 1 0 • Lower GER than the average 0 10 20 30 40 50 60 70 80 90 100 • Higher increase in enrollment than the country % of corresponding age group over the past 5 years northern Sudan Northern Darfur Secondary education • GER lower than the average • Decrease or stagnation in GER over the past 5 years 222 • Appendix: State-Level Data Sheets—Northern Darfur Internal Efficiency percent Gross intake rate Completion rate Retention rate Share of repeaters Education level State Northern Sudan State Northern Sudan State Northern Sudan State Northern Sudan Basic 80 80 44 54 56 68 5 4 Secondary 22 34 15 25 71 72 — 14 Note: — = not available. KEY POINTS Basic education Secondary education • Intake similar to the country average • High retention • Low retention and completion • High dropout (occurring mainly within the cycle) • Limited transition between basic education and secondary cycle Government School: Teachers Voluntary and national Student-teacher ratio service (percent) Teacher-nonteacher ratio Education level State Northern Sudan State Northern Sudan State Northern Sudan Preschool 60 48 0 33 57 18 Basic 47 33 0 3 5 5 Secondary 18 16 0 8 2 1 Government School: Facilities Students per school Students per form Education level State Northern Sudan State Northern Sudan Preschool — — — — Basic 315 332 49 48 Secondary 299 238 49 45 Note: — = not available. Appendix: State-Level Data Sheets—Northern Darfur • 223 Per-Student Spending at the State Level Sudanese pounds State Relative to northern Sudan Indicator Preschool Basic Secondary Preschool Basic Secondary Total 99.4 171.3 606.7 0.8 0.7 0.9 Teachers 88.2 144.2 453.3 0.8 0.7 0.9 Nonteachers 5.3 20.8 114.7 0.8 0.7 0.9 Goods and services 5.9 6.3 38.7 0.8 0.7 0.9 Degree of Randomness in Teacher Allocations, KEY POINTS Primary School General 100 • No use of volunteer teachers (or no data) 90 Preschool 80 • High student-teacher ratio 70 60 percent • Large number of teachers per nonteacher staff 50 • Low per-student spending 40 Basic education 30 • High student-teacher ratio 20 • Low per-student spending 10 0 Secondary education a s le um n te Se da Ni sta to • Bigger school size than the country average Su d ue ar Re of n Bl Kh er • Per-student spending close to the p rth ou no gr country average Note: Group of states is the average for all states in northern Sudan except for Red Sea, Blue Nile, and Khartoum. Disaggregated data were unavailable for the other states, so just the average is included. Literacy Rates for Adults 20–30 Years Old, by Number of Years of School 100 90 80 70 60 percent 50 40 30 20 10 0 0 1 2 3 4 5 6 7 8 years of schooling northern Sudan Souththern Darfur 224 • Appendix: State-Level Data Sheets—Southern Darfur State: Southern Darfur Year: 2008–09 Indicator State Northern Sudan State–northern Sudan ratio Demographic pressure (population ages 5–16 as a percentage of total population) 33 32 1.04 School life expectancy, excluding higher education 3.5 6.3 0.56 Effort: spending per school-age population (SDG) 64 165 0.39 Efficiency of education spending: spending per child (in population) per year of SLE produced (SDG) 18 26 0.70 Student Flow and Socioeconomic Disparities Share of girls in total Share of private school Gross enrollment rate enrollments enrollments (percent) (percent) (percent) Education level Enrollments State Northern Sudan State Northern Sudan State Northern Sudan Preschool 114,280 38 37 36 47 — — Basic 424,904 41 72 43 46 10 5 Secondary 52,263 17 29 40 48 33 23 Academic 51,030 17 28 41 49 34 24 Technical 1,233 0 1 7 25 0 0 Literacy program 0 n.a. n.a. n.a. n.a. n.a. n.a. Note: — = not available; n.a. = not applicable. Student Annual Growth Rate 2005–09 Share of Enrollment in Basic Education percent percent Education level State Northern Sudan Schools State Northern Sudan Preschool 47 15 Nomadic 5 3 Basic 7 5 IDP 18 4 Secondary –1 7 Educational Pyramid for Southern Darfur (Basic and KEY POINTS Secondary Only) General 11 • Very low school life expectancy 10 • Very low level of spending per school-age 9 secondary years of schooling 8 population 7 • More efficient use of resources 6 Preschool 5 4 basic • Share of girls very low 3 Basic education 2 1 • Very lower GER 0 • Small increase in GER, no clear sign of catch-up 0 10 20 30 40 50 60 70 80 90 100 • Lower percentage of girls than the country % of corresponding age group average northern Sudan Southern Darfur Secondary education • Very lower GER • Lower percentage of girls than the country average Appendix: State-Level Data Sheets—Southern Darfur • 225 Internal Efficiency percent Gross intake rate Completion rate Retention rate Share of repeaters Education level State Northern Sudan State Northern Sudan State Northern Sudan State Northern Sudan Basic 57 80 22 54 38 68 1 4 Secondary 15 34 11 25 74 72 — 14 Note: — = not available. KEY POINTS Basic education Secondary education • Low intake • High retention • Very low retention and low completion • High dropout (occurring mainly within the cycle) • High transition between basic education and secondary cycle Government School: Teachers Voluntary and national Student-teacher ratio service (percent) Teacher-nonteacher ratio Education level State Northern Sudan State Northern Sudan State Northern Sudan Preschool 64 48 0 33 8 18 Basic 44 33 0 3 5 5 Secondary 20 16 0 8 2 1 Government School: Facilities Students per school Students per form Education level State Northern Sudan State Northern Sudan Preschool — — — — Basic 275 332 56 48 Secondary 360 238 55 45 Note: — = not available. 226 • Appendix: State-Level Data Sheets—Southern Darfur Per-Student Spending at the State Level Sudanese pounds State Relative to northern Sudan Indicator Preschool Basic Secondary Preschool Basic Secondary Total 92.6 182.0 544.9 0.7 0.8 0.8 Teachers 82.2 153.2 407.4 0.7 0.8 0.8 Nonteachers 4.9 22.1 103.0 0.7 0.8 0.8 Goods and services 5.5 6.7 34.5 0.7 0.8 0.8 Degree of Randomness in Teacher Allocations, KEY POINTS Primary School General 100 • No use of volunteer teachers (or no data) 90 Preschool 80 • High student-teacher ratio 70 60 percent • Fewer teachers per nonteacher staff members 50 than the country average 40 • Low per-student spending 30 Basic education 20 10 • High student-teacher ratio 0 • Smaller school size than the country average a s le um n te Se da Ni sta to Su • Low per-student spending d ue ar Re of n Bl Kh er p Secondary education rth ou no gr • Bigger school size than the country average Note: Group of states is the average for all states in northern Sudan • Per-student spending close to the country except for Red Sea, Blue Nile, and Khartoum. Disaggregated data were average unavailable for the other states, so just the average is included. Literacy Rates for Adults 20–30 Years Old, by Number of Years of School 100 90 80 70 60 percent 50 40 30 20 10 0 0 1 2 3 4 5 6 7 8 years of schooling northern Sudan Southern Darfur Appendix: State-Level Data Sheets—Western Darfur • 227 State: Western Darfur Year: 2008–09 Indicator State Northern Sudan State–northern Sudan ratio Demographic pressure (population ages 5–16 as a percentage of total population) 34 32 1.07 School life expectancy, excluding higher education 7.2 6.3 1.13 Effort: spending per school-age population (SDG) 96 165 0.58 Efficiency of education spending: spending per child (in population) per year of SLE produced (SDG) 13 26 0.51 Student Flow and Socioeconomic Disparities Share of girls in total Share of private school Gross enrollment rate enrollments enrollments (percent) (percent) (percent) Education level Enrollments State Northern Sudan State Northern Sudan State Northern Sudan Preschool 25,134 26 37 50 47 — — Basic 283,355 88 72 44 46 2 5 Secondary 23,348 25 29 35 48 39 23 Academic 22,728 24 28 36 49 40 24 Technical 620 1 1 27 25 0 0 Literacy program 0 n.a. n.a. n.a. n.a. n.a. n.a. Note: — = not available; n.a. = not applicable. Student Annual Growth Rate 2005–09 Share of Enrollment in Basic Education percent percent Education level State Northern Sudan Schools State Northern Sudan Preschool 33 15 Nomadic 8 3 Basic 6 5 IDP 24 4 Secondary 21 7 Educational Pyramid for Western Darfur (Basic and KEY POINTS Secondary Only) General 11 • School life expectancy higher than northern 10 Sudan average (1 more year) 9 secondary years of schooling 8 • Low level of spending per school-age population 7 • More efficient use of resources 6 Preschool 5 4 basic • Low GER 3 • As many girls as boys enrolled 2 Basic education 1 0 • GER larger than the country average 0 10 20 30 40 50 60 70 80 90 100 • Percentage of girls lower than the country % of corresponding age group average northern Sudan Western Darfur Secondary education • GER smaller than the country average • Percentage of girls lower than the country average 228 • Appendix: State-Level Data Sheets—Western Darfur Internal Efficiency percent Gross intake rate Completion rate Retention rate Share of repeaters Education level State Northern Sudan State Northern Sudan State Northern Sudan State Northern Sudan Basic 84 80 70 54 84 68 5 4 Secondary 22 34 12 25 55 72 — 14 Note: — = not available. KEY POINTS Basic education Secondary education • Intake rate a bit higher than the average • Low retention • Better retention and completion • High dropout • Very limited transition between basic education • Low completion and secondary cycle Government School: Teachers Voluntary and national Student-teacher ratio service (percent) Teacher-nonteacher ratio Education level State Northern Sudan State Northern Sudan State Northern Sudan Preschool 195 48 0 33 8 18 Basic 64 33 0 3 5 5 Secondary 23 16 0 8 2 1 Government School: Facilities Students per school Students per form Education level State Northern Sudan State Northern Sudan Preschool — — — — Basic 242 332 64 48 Secondary 391 238 48 45 Note: — = not available. Appendix: State-Level Data Sheets—Western Darfur • 229 Per-Student Spending at the State Level Sudanese pounds State Relative to northern Sudan Indicator Preschool Basic Secondary Preschool Basic Secondary Total 30.5 124.1 466.6 0.2 0.5 0.7 Teachers 27.1 104.5 348.9 0.2 0.5 0.7 Nonteachers 1.6 15.1 88.2 0.2 0.5 0.7 Goods and services 1.8 4.5 29.6 0.2 0.5 0.7 Degree of Randomness in Teacher Allocations, KEY POINTS Primary School General 100 • No use of volunteer teachers (or no data) 90 Preschool 80 • Very high student-teacher ratio 70 60 percent • Fewer teachers per nonteacher staff members 50 than the country average 40 • Extremely low per-student spending 30 Basic education 20 10 • High student-teacher ratio 0 • Smaller school size than the country average a s le um n te Se da Ni sta to Su d ue • Very low per-student spending (half the average) ar Re of n Bl Kh er p rth ou Secondary education no gr • Bigger school size than the country average Note: Group of states is the average for all states in northern Sudan • Very low per-student spending (half the average) except for Red Sea, Blue Nile, and Khartoum. Disaggregated data were unavailable for the other states, so just the average is included. Literacy Rates for Adults 20–30 Years Old, by Number of Years of School 100 90 80 70 60 percent 50 40 30 20 10 0 0 1 2 3 4 5 6 7 8 years of schooling northern Sudan Western Darfur 230 • Appendix: State-Level Data Sheets—Kassala State: Kassala Year: 2008–09 Indicator State Northern Sudan State–northern Sudan ratio Demographic pressure (population ages 5–16 as a percentage of total population) 35 32 1.11 School life expectancy, excluding higher education 3.9 6.3 0.61 Effort: spending per school-age population (SDG) 114 165 0.69 Efficiency of education spending: spending per child (in population) per year of SLE produced (SDG) 30 26 1.13 Student Flow and Socioeconomic Disparities Share of girls in total Share of private school Gross enrollment rate enrollments enrollments (percent) (percent) (percent) Education level Enrollments State Northern Sudan State Northern Sudan State Northern Sudan Preschool 17,616 17 37 51 47 — — Basic 182,372 46 72 42 46 8 5 Secondary 20,173 15 29 48 48 15 23 Academic 18,759 14 28 49 49 16 24 Technical 1,414 1 1 30 25 0 0 Literacy program 0 n.a. n.a. n.a. n.a. n.a. n.a. Note: — = not available; n.a. = not applicable. Student Annual Growth Rate 2005–09 Share of Enrollment in Basic Education percent percent Education level State Northern Sudan Schools State Northern Sudan Preschool 0 15 Nomadic 17 3 Basic –2 5 IDP 0 4 Secondary 3 7 Educational Pyramid for Kassala (Basic and KEY POINTS Secondary Only) General 11 • Very low school life expectancy 10 • Low level of spending per school-age population 9 secondary years of schooling 8 • Less efficient use of resources 7 Preschool 6 • Very low GER 5 4 basic • As many girls as boys enrolled 3 • No increase in enrollment 2 Basic education 1 0 • Very low GER 0 10 20 30 40 50 60 70 80 90 100 • Percentage of girls lower than the country % of corresponding age group average northern Sudan Kassala • Stagnation in enrollment Secondary education • Very low GER • Small increase in enrollment Appendix: State-Level Data Sheets—Kassala • 231 Internal Efficiency percent Gross intake rate Completion rate Retention rate Share of repeaters Education level State Northern Sudan State Northern Sudan State Northern Sudan State Northern Sudan Basic 80 80 25 54 31 68 4 4 Secondary 15 34 10 25 67 72 — 14 Note: — = not available. KEY POINTS Basic education Secondary education • Intake at the average level • Low intake rate • Extremely low retention and low completion • High retention • High dropout (occurring mainly within the cycle) • Relatively limited transition between basic education and secondary cycle Government School: Teachers Voluntary and national Student-teacher ratio service (percent) Teacher-nonteacher ratio Education level State Northern Sudan State Northern Sudan State Northern Sudan Preschool 76 48 25 33 3 18 Basic 31 33 9 3 5 5 Secondary 14 16 0 8 1 1 Government School: Facilities Students per school Students per form Education level State Northern Sudan State Northern Sudan Preschool — — — — Basic 267 332 49 48 Secondary 293 238 44 45 Note: — = not available. Education Expenditures percent Indicator State Northern Sudan Education as a percentage of all expenditures 28 27 Salaries as a percentage of education expenditures 71 85 232 • Appendix: State-Level Data Sheets—Kassala Per-Student Spending at the State Level Sudanese pounds State Relative to northern Sudan Indicator Preschool Basic Secondary Preschool Basic Secondary Total 135.6 297.5 749.0 1.1 1.2 1.1 Teachers 59.6 226.0 515.9 0.5 1.1 1.0 Nonteachers 22.6 33.6 167.6 3.4 1.2 1.3 Goods and services 53.3 37.9 65.5 7.2 4.3 1.5 Degree of Randomness in Teacher Allocations, KEY POINTS Primary School Preschool 100 • High student-teacher ratio 90 • Very small number of teachers per nonteacher 80 staff members 70 60 percent • Per-student spending higher than the country 50 average 40 Basic education 30 • Student-teacher ratio lower than the country 20 10 average 0 • Smaller school size than the country average a s le um n te Se da Ni sta to Su • Per-student spending higher than the country d ue ar Re of n Bl Kh er p average rth ou no gr Secondary education Note: Group of states is the average for all states in northern Sudan • Bigger school size than the country average except for Red Sea, Blue Nile, and Khartoum. Disaggregated data were • Per-student spending higher than the country unavailable for the other states, so just the average is included. average Appendix: State-Level Data Sheets—Al Qadarif • 233 State: Al Qadarif Year: 2008–09 Indicator State Northern Sudan State–northern Sudan ratio Demographic pressure (population ages 5–16 as a percentage of total population) 37 32 1.15 School life expectancy, excluding higher education 5.5 6.3 0.87 Effort: spending per school-age population (SDG) 155 165 0.94 Efficiency of education spending: spending per child (in population) per year of SLE produced (SDG) 28 26 1.08 Student Flow and Socioeconomic Disparities Share of girls in total Share of private school Gross enrollment rate enrollments enrollments (percent) (percent) (percent) Education level Enrollments State Northern Sudan State Northern Sudan State Northern Sudan Preschool 34,730 36 37 46 47 — — Basic 222,083 70 72 45 46 2 5 Secondary 28,706 31 29 46 48 18 23 Academic 26,297 28 28 47 49 20 24 Technical 2,409 3 1 33 25 0 0 Literacy program 14,105 n.a. n.a. n.a. n.a. n.a. n.a. Note: — = not available; n.a. = not applicable. Student Annual Growth Rate 2005–09 Share of Enrollment in Basic Education percent percent Education level State Northern Sudan Schools State Northern Sudan Preschool 26 15 Nomadic 2 3 Basic 7 5 IDP 3 4 Secondary 8 7 Educational Pyramid for Al Qadarif (Basic and KEY POINTS Secondary Only) General 11 • High demographic pressure 10 secondary • Very low school life expectancy 9 years of schooling 8 • Slightly low level of spending per school-age 7 population 6 • Less efficient use of resources 5 4 basic Preschool 3 • GER at the country average 2 • Sharp increase in enrollment 1 0 Basic education 0 10 20 30 40 50 60 70 80 90 100 • GER at the country average % of corresponding age group • Steady increase in enrollment northern Sudan Al Qadarif Secondary education • GER at the country average 234 • Appendix: State-Level Data Sheets—Al Qadarif Internal Efficiency percent Gross intake rate Completion rate Retention rate Share of repeaters Education level State Northern Sudan State Northern Sudan State Northern Sudan State Northern Sudan Basic 78 80 40 54 51 68 13 4 Secondary 30 34 19 25 66 72 — 14 Note: — = not available. KEY POINTS Basic education Secondary education • Intake at the average level • Low retention • Low retention • Relatively high transition between basic education and secondary cycle Government School: Teachers Voluntary and national Student-teacher ratio service (percent) Teacher-nonteacher ratio Education level State Northern Sudan State Northern Sudan State Northern Sudan Preschool 47 48 0 33 38 18 Basic 38 33 4 3 6 5 Secondary 16 16 9 8 2 1 Government School: Facilities Students per school Students per form Education level State Northern Sudan State Northern Sudan Preschool — — — — Basic 329 332 48 48 Secondary 245 238 48 45 Note: — = not available. Education Expenditures percent Indicator State Northern Sudan Education as a percentage of all expenditures 31 27 Salaries as a percentage of education expenditures 76 85 Appendix: State-Level Data Sheets—Al Qadarif • 235 Per-Student Spending at the State Level Sudanese pounds State Relative to northern Sudan Indicator Preschool Basic Secondary Preschool Basic Secondary Total 138.1 204.4 740.5 1.1 0.9 1.1 Teachers 125.5 171.2 537.6 1.1 0.8 1.0 Nonteachers 2.5 21.4 108.9 0.4 0.7 0.8 Goods and services 10.2 11.8 94.1 1.4 1.3 2.1 Degree of Randomness in Teacher Allocations, KEY POINTS Primary School General 100 • Spending larger than the country average 90 • Share of salaries lower than the country average 80 Preschool 70 60 percent • Large number of teachers per nonteacher staff 50 members 40 • Per-student spending higher than the country 30 average 20 10 Basic education 0 • Student-teacher ratio lower than the country a s le um n te Se da Ni sta to Su average d ue ar Re of n Bl Kh er p • Per-student spending on goods and services rth ou no gr much higher than the country average Note: Group of states is the average for all states in northern Sudan Secondary education except for Red Sea, Blue Nile, and Khartoum. Disaggregated data were • Bigger school size than the country average unavailable for the other states, so just the average is included. • Per-student spending higher than the country average Glossary Child-friendly schools. A rights-based, child-friendly school has two basic characteristics: • It is child seeking—actively identifying excluded children to get them enrolled in school and included in learning; treating children as sub- jects with rights that the states are duty-bound to fulfill; and demon- strating, promoting, and helping to monitor the rights and well-being of all children in the community. • It is child centered—acting in the best interests of the individual child, leading to the realization of the child’s full potential, and con- cerned both about the “whole” child (including her health, nutri- tional status, and well-being) and about what happens to that child (in her family and community) before she enters school and after she leaves it. Dependency ratio. This ratio is defined as the school-age population as a share of the total population. Development spending. This type of spending is for physical assets with benefits extending into the future. Gender parity index (GPI). The GPI is calculated here as the gross enroll- ment rate for girls divided by the gross enrollment rate for boys. Gini coefficient. This is a measure of the inequality of distribution. It is cal- culated as the ratio of the area between the diagonal and the Lorenz curve to the area of the triangle beneath the diagonal. A value of zero expresses total equality and a value of one, maximum inequality. Gross enrollment rate (GER). The GER is calculated as total enrollment in the level of education divided by the population of relevant age for that level. The relevant age groups here are ages 4–5 for preschool, ages 6–13 for basic school, and ages 14–16 for secondary school. 237 238 • Glossary Gross intake rate (GIR). This rate is calculated as the number of nonre- peaters in grade 1 divided by the number of students age 6. Internally displaced persons (IDPs). “Persons or groups of persons who have been forced or obliged to flee or leave their homes or places of habitual residences, 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 State border” (Guiding Prin- ciples of Internal Displacement 1998). Khalwas. These institutions are traditional Islamic schools that teach the Quran. They enroll children of all ages. Mahalya. The mahalya, or locality, is under the political leadership of an elected council of between 24 and 48 people, including a committee for education. Its administration is under the responsibility of an exec- utive director appointed by the wali (state governor). He or she is assisted by a number of directors (including a director of education) in charge of various sectors of activity. The director for education in the mahalyas is often assisted by three officials, who are in charge of teach- ers, administration and finance, and students and statistics. Net enrollment rate. This rate is calculated as the enrollment of 6–13-year- olds in basic school divided by the population of 6–13-year-olds. Net intake rate. This rate is calculated as the nonrepeaters in grade 1 who are age 6 divided by the age 6 population. Primary completion rate. This rate is calculated as the number of nonre- peaters in grade 8 divided by the number of students age 13. R2. This indicator measures the extent to which the number of teachers in a school is proportionate to the size of its enrollment. If the number of teachers deployed to a school is perfectly proportionate to the size of enrollment, then R2 will be equal to one. Conversely, an R2 of zero would indicate that there is no relationship between the number of teachers deployed to a school and the number of students enrolled in that school. Recurrent spending. This type of spending is for assets or services to be consumed within one year. Stunting. Moderate and severe: the percentage of children ages 0–59 months who are below minus two standard deviations from median height for age of the WHO (World Health Organization) Child Growth Standards. (WHO definition) Underweight. Moderate and severe: the percentage of children ages 0–59 months who are below minus two standard deviations from median Glossary • 239 weight for age of the reference population from the National Center for Health Statistics (NCHS) of the U.S. Centers for Disease Control and Prevention and from the WHO. (NCHS/WHO definition) Wasting. Moderate and severe: the percentage of children ages 0–59 months who are below minus two standard deviations from median weight for height of the WHO Child Growth Standards. (WHO definition) ECO-AUDIT Environmental Benefits Statement The World Bank is committed to preserving Saved: endangered forests and natural resources. • 6 trees The Office of the Publisher has chosen • 3 million British thermal to print The Status of the Education Sector units of total energy in Sudan on recycled paper with 50 percent • 591 pounds of net postconsumer fiber in accordance with greenhouse gases the recommended standards for paper usage • 2,665 gallons of waste set by the Green Press Initiative, a non- water profit program supporting publishers in • 169 pounds of solid using fiber that is not sourced from endan- waste gered forests. For more information, visit www.greenpressinitiative.org. T he Status of the Education Sector in Sudan provides an analysis of the education system in northern Sudan over the past decade and a knowledge base to inform the Government of Sudan about priority areas during its preparation of the Education Sector Strategic Plan for 2012–16. This report also contributes toward dialogue among relevant stakeholders about the challenges and emerging strategic priorities for the future of the education sector in Sudan. Sudan Ministry of General Education ISBN 978-0-8213-8857-0 SKU 18857