Poverty Maps of Bangladesh 2010 : Key Findings
Poverty mapping is a statistical exercise to estimate the incidence of poverty at sub-national levels to enable the government, civil society organizations, and development partners to accurately identify locations with a relatively higher concentration of poor people. The current poverty mapping exercise was initiated in September 2012 by the Bangladesh bureau of statistics (BBS), the World Bank, and the World food program (WFP) to produce reliable poverty estimates for key subnational administrative units (zila and upazila) using data from both the 2010 household income and expenditure survey (HIES) and the 2011 population census. Poverty mapping is a powerful tool for identifying and monitoring pockets of affluence and poverty across the country. The usefulness of poverty maps can be further reinforced by combining them with other geo-referenced databases such as maps of human development indicators, maps of natural disasters, and maps of the impending impacts of climate change.
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dig-okr-10986204252024-08-08T13:46:46Z Poverty Maps of Bangladesh 2010 : Key Findings World Bank World Food Programme Bangladesh Bureau of Statistics AGRICULTURAL DEVELOPMENT AGRICULTURAL WAGE AGRICULTURAL WAGES CIVIL SOCIETY CIVIL SOCIETY ORGANIZATIONS CLIMATE CHANGE CONSUMPTION DATA CORRELATES OF POVERTY CURRENT POVERTY DATA SETS DEVELOPMENT INDICATORS EDUCATIONAL ATTAINMENT EXPLANATORY VARIABLES EXTREME POVERTY FOOD EXPENDITURE FOOD POVERTY FOOD POVERTY LINE HEADCOUNT POVERTY HIGH POVERTY HOUSEHOLD HEAD HOUSEHOLD HEADS HOUSEHOLD INCOME HUMAN DEVELOPMENT INCIDENCE OF POVERTY NATIONAL POVERTY NATIONAL POVERTY LINE NATURAL DISASTERS POLICY INTERVENTIONS POLICY MAKERS POOR POOR HOUSEHOLDS POOR PEOPLE POORER AREAS POVERTY ASSESSMENT POVERTY ESTIMATES POVERTY INCIDENCE POVERTY LINE POVERTY LINES POVERTY MAP POVERTY MAPPING POVERTY MAPPING EXERCISE POVERTY MAPPING METHODOLOGY POVERTY MAPS POVERTY RATE POVERTY RATES POVERTY REDUCTION PRIMARY EDUCATION REDUCING POVERTY REGIONAL CHARACTERISTICS SPATIAL DISTRIBUTION SPATIAL INEQUALITY WAGE RATES Poverty mapping is a statistical exercise to estimate the incidence of poverty at sub-national levels to enable the government, civil society organizations, and development partners to accurately identify locations with a relatively higher concentration of poor people. The current poverty mapping exercise was initiated in September 2012 by the Bangladesh bureau of statistics (BBS), the World Bank, and the World food program (WFP) to produce reliable poverty estimates for key subnational administrative units (zila and upazila) using data from both the 2010 household income and expenditure survey (HIES) and the 2011 population census. Poverty mapping is a powerful tool for identifying and monitoring pockets of affluence and poverty across the country. The usefulness of poverty maps can be further reinforced by combining them with other geo-referenced databases such as maps of human development indicators, maps of natural disasters, and maps of the impending impacts of climate change. 2014-10-14T16:48:46Z 2014-10-14T16:48:46Z 2010 http://documents.worldbank.org/curated/en/2010/01/20191359/poverty-maps-bangladesh-2010-key-findings https://hdl.handle.net/10986/20425 English en_US CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ application/pdf text/plain Washington, DC |
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Banco Mundial |
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Estados Unidos |
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US |
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Bibliográfico |
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En linea |
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dig-okr |
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biblioteca |
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America del Norte |
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Biblioteca del Banco Mundial |
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English en_US |
| topic |
AGRICULTURAL DEVELOPMENT AGRICULTURAL WAGE AGRICULTURAL WAGES CIVIL SOCIETY CIVIL SOCIETY ORGANIZATIONS CLIMATE CHANGE CONSUMPTION DATA CORRELATES OF POVERTY CURRENT POVERTY DATA SETS DEVELOPMENT INDICATORS EDUCATIONAL ATTAINMENT EXPLANATORY VARIABLES EXTREME POVERTY FOOD EXPENDITURE FOOD POVERTY FOOD POVERTY LINE HEADCOUNT POVERTY HIGH POVERTY HOUSEHOLD HEAD HOUSEHOLD HEADS HOUSEHOLD INCOME HUMAN DEVELOPMENT INCIDENCE OF POVERTY NATIONAL POVERTY NATIONAL POVERTY LINE NATURAL DISASTERS POLICY INTERVENTIONS POLICY MAKERS POOR POOR HOUSEHOLDS POOR PEOPLE POORER AREAS POVERTY ASSESSMENT POVERTY ESTIMATES POVERTY INCIDENCE POVERTY LINE POVERTY LINES POVERTY MAP POVERTY MAPPING POVERTY MAPPING EXERCISE POVERTY MAPPING METHODOLOGY POVERTY MAPS POVERTY RATE POVERTY RATES POVERTY REDUCTION PRIMARY EDUCATION REDUCING POVERTY REGIONAL CHARACTERISTICS SPATIAL DISTRIBUTION SPATIAL INEQUALITY WAGE RATES AGRICULTURAL DEVELOPMENT AGRICULTURAL WAGE AGRICULTURAL WAGES CIVIL SOCIETY CIVIL SOCIETY ORGANIZATIONS CLIMATE CHANGE CONSUMPTION DATA CORRELATES OF POVERTY CURRENT POVERTY DATA SETS DEVELOPMENT INDICATORS EDUCATIONAL ATTAINMENT EXPLANATORY VARIABLES EXTREME POVERTY FOOD EXPENDITURE FOOD POVERTY FOOD POVERTY LINE HEADCOUNT POVERTY HIGH POVERTY HOUSEHOLD HEAD HOUSEHOLD HEADS HOUSEHOLD INCOME HUMAN DEVELOPMENT INCIDENCE OF POVERTY NATIONAL POVERTY NATIONAL POVERTY LINE NATURAL DISASTERS POLICY INTERVENTIONS POLICY MAKERS POOR POOR HOUSEHOLDS POOR PEOPLE POORER AREAS POVERTY ASSESSMENT POVERTY ESTIMATES POVERTY INCIDENCE POVERTY LINE POVERTY LINES POVERTY MAP POVERTY MAPPING POVERTY MAPPING EXERCISE POVERTY MAPPING METHODOLOGY POVERTY MAPS POVERTY RATE POVERTY RATES POVERTY REDUCTION PRIMARY EDUCATION REDUCING POVERTY REGIONAL CHARACTERISTICS SPATIAL DISTRIBUTION SPATIAL INEQUALITY WAGE RATES |
| spellingShingle |
AGRICULTURAL DEVELOPMENT AGRICULTURAL WAGE AGRICULTURAL WAGES CIVIL SOCIETY CIVIL SOCIETY ORGANIZATIONS CLIMATE CHANGE CONSUMPTION DATA CORRELATES OF POVERTY CURRENT POVERTY DATA SETS DEVELOPMENT INDICATORS EDUCATIONAL ATTAINMENT EXPLANATORY VARIABLES EXTREME POVERTY FOOD EXPENDITURE FOOD POVERTY FOOD POVERTY LINE HEADCOUNT POVERTY HIGH POVERTY HOUSEHOLD HEAD HOUSEHOLD HEADS HOUSEHOLD INCOME HUMAN DEVELOPMENT INCIDENCE OF POVERTY NATIONAL POVERTY NATIONAL POVERTY LINE NATURAL DISASTERS POLICY INTERVENTIONS POLICY MAKERS POOR POOR HOUSEHOLDS POOR PEOPLE POORER AREAS POVERTY ASSESSMENT POVERTY ESTIMATES POVERTY INCIDENCE POVERTY LINE POVERTY LINES POVERTY MAP POVERTY MAPPING POVERTY MAPPING EXERCISE POVERTY MAPPING METHODOLOGY POVERTY MAPS POVERTY RATE POVERTY RATES POVERTY REDUCTION PRIMARY EDUCATION REDUCING POVERTY REGIONAL CHARACTERISTICS SPATIAL DISTRIBUTION SPATIAL INEQUALITY WAGE RATES AGRICULTURAL DEVELOPMENT AGRICULTURAL WAGE AGRICULTURAL WAGES CIVIL SOCIETY CIVIL SOCIETY ORGANIZATIONS CLIMATE CHANGE CONSUMPTION DATA CORRELATES OF POVERTY CURRENT POVERTY DATA SETS DEVELOPMENT INDICATORS EDUCATIONAL ATTAINMENT EXPLANATORY VARIABLES EXTREME POVERTY FOOD EXPENDITURE FOOD POVERTY FOOD POVERTY LINE HEADCOUNT POVERTY HIGH POVERTY HOUSEHOLD HEAD HOUSEHOLD HEADS HOUSEHOLD INCOME HUMAN DEVELOPMENT INCIDENCE OF POVERTY NATIONAL POVERTY NATIONAL POVERTY LINE NATURAL DISASTERS POLICY INTERVENTIONS POLICY MAKERS POOR POOR HOUSEHOLDS POOR PEOPLE POORER AREAS POVERTY ASSESSMENT POVERTY ESTIMATES POVERTY INCIDENCE POVERTY LINE POVERTY LINES POVERTY MAP POVERTY MAPPING POVERTY MAPPING EXERCISE POVERTY MAPPING METHODOLOGY POVERTY MAPS POVERTY RATE POVERTY RATES POVERTY REDUCTION PRIMARY EDUCATION REDUCING POVERTY REGIONAL CHARACTERISTICS SPATIAL DISTRIBUTION SPATIAL INEQUALITY WAGE RATES World Bank World Food Programme Bangladesh Bureau of Statistics Poverty Maps of Bangladesh 2010 : Key Findings |
| description |
Poverty mapping is a statistical
exercise to estimate the incidence of poverty at
sub-national levels to enable the government, civil society
organizations, and development partners to accurately
identify locations with a relatively higher concentration of
poor people. The current poverty mapping exercise was
initiated in September 2012 by the Bangladesh bureau of
statistics (BBS), the World Bank, and the World food program
(WFP) to produce reliable poverty estimates for key
subnational administrative units (zila and upazila) using
data from both the 2010 household income and expenditure
survey (HIES) and the 2011 population census. Poverty
mapping is a powerful tool for identifying and monitoring
pockets of affluence and poverty across the country. The
usefulness of poverty maps can be further reinforced by
combining them with other geo-referenced databases such as
maps of human development indicators, maps of natural
disasters, and maps of the impending impacts of climate change. |
| topic_facet |
AGRICULTURAL DEVELOPMENT AGRICULTURAL WAGE AGRICULTURAL WAGES CIVIL SOCIETY CIVIL SOCIETY ORGANIZATIONS CLIMATE CHANGE CONSUMPTION DATA CORRELATES OF POVERTY CURRENT POVERTY DATA SETS DEVELOPMENT INDICATORS EDUCATIONAL ATTAINMENT EXPLANATORY VARIABLES EXTREME POVERTY FOOD EXPENDITURE FOOD POVERTY FOOD POVERTY LINE HEADCOUNT POVERTY HIGH POVERTY HOUSEHOLD HEAD HOUSEHOLD HEADS HOUSEHOLD INCOME HUMAN DEVELOPMENT INCIDENCE OF POVERTY NATIONAL POVERTY NATIONAL POVERTY LINE NATURAL DISASTERS POLICY INTERVENTIONS POLICY MAKERS POOR POOR HOUSEHOLDS POOR PEOPLE POORER AREAS POVERTY ASSESSMENT POVERTY ESTIMATES POVERTY INCIDENCE POVERTY LINE POVERTY LINES POVERTY MAP POVERTY MAPPING POVERTY MAPPING EXERCISE POVERTY MAPPING METHODOLOGY POVERTY MAPS POVERTY RATE POVERTY RATES POVERTY REDUCTION PRIMARY EDUCATION REDUCING POVERTY REGIONAL CHARACTERISTICS SPATIAL DISTRIBUTION SPATIAL INEQUALITY WAGE RATES |
| author |
World Bank World Food Programme Bangladesh Bureau of Statistics |
| author_facet |
World Bank World Food Programme Bangladesh Bureau of Statistics |
| author_sort |
World Bank |
| title |
Poverty Maps of Bangladesh 2010 : Key Findings |
| title_short |
Poverty Maps of Bangladesh 2010 : Key Findings |
| title_full |
Poverty Maps of Bangladesh 2010 : Key Findings |
| title_fullStr |
Poverty Maps of Bangladesh 2010 : Key Findings |
| title_full_unstemmed |
Poverty Maps of Bangladesh 2010 : Key Findings |
| title_sort |
poverty maps of bangladesh 2010 : key findings |
| publisher |
Washington, DC |
| publishDate |
2010 |
| url |
http://documents.worldbank.org/curated/en/2010/01/20191359/poverty-maps-bangladesh-2010-key-findings https://hdl.handle.net/10986/20425 |
| work_keys_str_mv |
AT worldbank povertymapsofbangladesh2010keyfindings AT worldfoodprogramme povertymapsofbangladesh2010keyfindings AT bangladeshbureauofstatistics povertymapsofbangladesh2010keyfindings |
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1807158091133747200 |