enumeration area;lack of access to markets;Expenditure and Consumption Survey;poverty estimate;unemployment level;household head;labor market outcome;poverty mapping ...  Voir la suite xercise;asset index;consumption model;complete secondary school;international good practice;cost of living;share of children;estimates of poverty;poverty mapping methodology;built up area;individuals with disability;types of service;census enumeration area;restrictions on mobility;poverty headcount rate;labor market indicator;pool of candidates;barriers to movement;years of schooling;household and individual;rates of unemployment;measure of poverty;constraints to growth;barriers to mobility;price of good;determinants of poverty;sources of errors;per capita consumption;information on consumption;allocation of resource;standard error;household size;household survey;census data;census household;disturbance term;Real estate;survey data;relative poverty;household consumption;sampling frame;adult female;road closure;consumption datum;small population;explanatory variable;poverty poverty;Poverty Measurement;working age;external barriers;internal barrier;geographic area;small area;regression model;consumption level;local knowledge;price difference;sampling error;regression coefficient;survey design;confidence interval;dedicated training;model prediction;non-governmental organization;Poverty Analysis;demographic indicator;adult male;marital status;tie in;average household;security control;household data;contiguous area;education indicator;educational level;donor agencies;detail level;health indicator;visual representations;disaggregated estimate;cooking stove;representative sample;consumption expenditure;poverty incidence;consumption base;simulation exercise;geographic boundaries;participatory mapping;housing indicator;labor activity;limited coverage;housing condition;government institution;small sample;census variable;household variables;household characteristic;truck load;commercial traffic;spatial disparities;survey instrument;disadvantaged area;environmental specialist;development partner;solving problem;young population;poor household;disaggregated level;spatial variation;point estimate;internal mobility;standard deviation;access restrictions;household composition;living standard;price index;collected information;limited resources;household density;home ownership;Durable goods;social assistance;agricultural land;internal restrictions;border control;base year;monthly consumption;refugee camp;personal care;consumption need;poverty series;research department;representative household;aggregate analysis;household level;extreme poverty;  Réduire