Policy Note : A Poverty Map for Sri Lanka—Lessons and Findings

To rejuvenate the slow poverty alleviation process in Sri Lanka, the first step would be to better understand the geographical distribution of poverty, which in turn would require estimating poverty at a level of disaggregation lower than the district level. This policy note summarizes results and experience of a poverty mapping exercise in Sri Lanka that has been conducted in close collaboration with the Department of Census and Statistics (DCS) since 2003. The results of poverty mapping successfully indicate where pockets of severe poverty remain in Sri Lanka, and provide interesting insights-poverty measured as a percentage of population is higher in remote areas, while the absolute number of the poor is larger in urban areas. Also, preliminary results drawn from a map with very high resolution indicate that there are some pockets of poverty even in Colombo District-the growth center of the country. The aim of this report is threefold. First, the report demonstrates that the poverty mapping method developed by Elbers at al (2003) is a useful tool to illustrate the spatial heterogeneity in poverty incidence in Sri Lanka at different levels of resolution (section 2). Second, it highlights the importance of capacity building in ensuring the sustainability of the poverty mapping work (section 3). Third, it discusses new observations regarding the statistical properties of the methodology (section 4).

Bibliographic Details

Main Author:	World Bank
Format:	Poverty Assessment biblioteca
Language:	English en_US
Published:	Washington, DC 2005-10
Subjects:	ACCESS TO SERVICES, AGGREGATE POVERTY, AGRICULTURAL SECTOR, AGRICULTURAL WAGE, ANTI-POVERTY, CAPACITY BUILDING, CAPITAL CITY, CONSUMPTION EXPENDITURE, CONSUMPTION EXPENDITURES, DEVELOPING COUNTRIES, DEVELOPMENT POLICY, DIMENSIONS OF POVERTY, ECONOMIC GROWTH, ECONOMIC OPPORTUNITIES, ECONOMIC REFORM, ESTIMATED COEFFICIENTS, ESTIMATION METHOD, ESTIMATION RESULTS, EXPLANATORY VARIABLES, EXTREME POVERTY, GDP, GEOGRAPHICAL TARGETING, GROWTH PERFORMANCE, HEAD COUNT RATIO, HEADCOUNT INDEX, HEADCOUNT RATIO, HIGH POVERTY, HOUSEHOLD CONSUMPTION, HOUSEHOLD INCOME, HOUSING, HUMAN DEVELOPMENT, IMPACT ASSESSMENT, INCOME LEVELS, INFANT MORTALITY, INFANT MORTALITY RATE, IRRIGATION, LIVELIHOOD, LIVELIHOODS, LIVING STANDARDS, MALNUTRITION, NATIONAL POVERTY, NATIONAL POVERTY HEADCOUNT, NATURAL DISASTER, NATURAL DISASTERS, PER CAPITA CONSUMPTION, POINT ESTIMATE, POLICY IMPLICATIONS, POLITICAL SUPPORT, POOR, POOR DISTRICTS, POOR HOUSEHOLDS, POOR PEOPLE, POOR POPULATION, POVERTY ALLEVIATION, POVERTY ALLEVIATION PROGRAMS, POVERTY ESTIMATES, POVERTY GAP, POVERTY HEADCOUNT RATES, POVERTY INCIDENCE, POVERTY INCIDENCE OF, POVERTY INDICES, POVERTY LINE, POVERTY LINES, POVERTY MAP, POVERTY MAPPING, POVERTY MAPPING EXERCISE, POVERTY MAPPING METHODOLOGY, POVERTY MAPS, POVERTY MEASURES, POVERTY MONITORING, POVERTY PROFILES, POVERTY PROGRAMS, POVERTY RATES, POVERTY REDUCTION, POVERTY STATISTICS, POVERTY STUDY, REDUCTION IN POVERTY, REMOTE AREAS, REMOTE RURAL AREAS, RURAL AREAS, SAMPLE SIZE, SIGNIFICANT REDUCTION, SIGNIFICANT REDUCTIONS, STANDARD DEVIATION, STATISTICAL ANALYSIS, URBAN AREAS, VULNERABLE PEOPLE,
Online Access:	http://documents.worldbank.org/curated/en/2005/10/6682312/poverty-map-sri-lanka-lessons-findings-policy-note http://hdl.handle.net/10986/8485
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