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Mapping Poverty in Afghanistan : Technical Report (Английский)

Afghanistan has been in protracted conflict for almost four decades, with direct implications on progress towards development objectives. This context of recurring episodes of violence and insecurity, economic and political instability, and the consequent displacement of populations within and outside the nation’s borders has important implications on the landscape of data and evidence available for the design, implementation, monitoring and evaluation of interventions and programs, and their timeliness and relevance. Afghans represent the world’s largest and most protracted refugee population, with an estimated 3.5 million people currently living abroad as refugees for more than four decades. Given the large disparities in poverty incidence and high levels of inequality within Afghanistan, the knowledge of living standards at more disaggregated geographical levels of districts and nahias could help inform policy design and improve decision making at a sub-province level. Therefore, poverty mapping, which aims at estimating poverty incidence at levels lower than the household survey, was applied in Kabul and Herat provinces. This technical report describes the methodology and data used to produce the Kabul and Herat poverty maps and presents the resulting collection of poverty maps, the first of its kind for Afghanistan. The structure of the report is as follows. Section 2 outlines the poverty mapping methodology, specifically the small area estimation approach, applied in Afghanistan. Section 3 discusses the data sources and the various technical challenges faced with the datasets. Section 4 discusses the modeling phase, including model selection, model parameters, and assumptions. Section 5 presents the poverty maps at a district and nahia level, and section 6 concludes. The Annexes contains supporting data and analysis.

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    Mapping Poverty in Afghanistan : Technical Report

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    estimates from poverty map; access to basic service; geographic distribution of poverty; source of drinking water; household survey data; census data; small area estimation; standard error; coefficient of variation; urban poverty line; consumption per capita; poverty estimate; high population density; poverty mapping methodology; estimates of poverty; absolute poverty line; Poverty & Inequality; rural poverty line; national poverty line; confidence interval; cost of living; urban population distribution; natural disaster risk; Access to Electricity; high poverty rate; term of data; access to sanitation; level of consumption; human development outcome; source heat; education and health; per capita consumption; household sample survey; agriculture and livestock; increase in population; sources of errors; country of origin; standard of living; food poverty line; official poverty rate; economic growth rate; correlates of poverty; household and individual; estimation of poverty; episodes of violence; design of policy; food consumption pattern; data on consumption; ownership of asset; household size; household consumption; rural area; enumeration area; average distance; consumption model; urban districts; household welfare; sampling frame; administrative level; point estimate; Poverty Measurement; regression coefficient; parameter estimate; small sample; toilet facility; geographic level; explanatory power; sampling design; geographic area; standard definition; predictor variable; explanatory variable; rural district; food insecurity; consumption expenditure; data issue; coding system; household expenditure; Poverty measures; consumption information; agricultural asset; living standard; household head; population data; dependency ratio; poverty incidence; disturbance term; marital status; household demographics; census questionnaire; international standard; measuring poverty; individual characteristic; international security; trade route; lagging region; mapping poverty; limited resources; geographical level; food component; survey results; poverty indicator; regional disparity; weighted average; missing data; durable asset; washing machine; Land Ownership; livestock ownership; water point; energy grid; primary road; secondary road; tertiary road; civilian casualty; average household; cooking fuel; regional model; regional poverty; subsequent modification; regression analysis; regression model; spatial information; Population Growth; poor household; regional estimates; upper bind; sampling units; model prediction; econometric model; error component; cluster level; idiosyncratic effect; normal distribution; representative household; collected information; domestic activity; household composition; random selection; water source; total sample; field work; critical data; security problem; city limits; consumption bundle; rural population; household characteristic; average age; adult male; education level; living condition; population number; market integration; high concentration; urban agglomeration; political instability; smaller group; settlement pattern; rainfall pattern; humanitarian assistance; spatial distribution; internal conflict; large population; welfare measurement; central regions; refugee population; scarce resource; humanitarian crisis; market accessibility; spatial patterns; Job Quality; internal displacement; displacement crisis; socioeconomic indicator

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