Using Disaggregated Poverty Maps to Plan Sectoral Investments
This poverty note analyzes the usefulness of poverty maps, and how they can be constructed using census and survey data, for the use and benefit of policy makers to focus scarce development resources. The note goes on to describe various kinds of p...
Main Authors: | , |
---|---|
Format: | Brief |
Language: | English |
Published: |
World Bank, Washington, DC
2012
|
Subjects: | |
Online Access: | http://documents.worldbank.org/curated/en/1998/05/438764/using-disaggregated-poverty-maps-plan-sectoral-investments http://hdl.handle.net/10986/11544 |
id |
okr-10986-11544 |
---|---|
recordtype |
oai_dc |
spelling |
okr-10986-115442021-06-14T11:04:15Z Using Disaggregated Poverty Maps to Plan Sectoral Investments Hentschel, Jesko Lanjouw, Peter BASIC NEEDS BENEFICIARIES CENSUS DATA CONSUMPTION DATA CONSUMPTION ESTIMATES CONSUMPTION EXPENDITURE CONSUMPTION EXPENDITURES CROWDING DATA REQUIREMENTS DEPRESSED AREAS DEVELOPING COUNTRY DEVELOPMENT ECONOMICS ECOLOGY ECONOMIC MANAGEMENT ECONOMICS EMPLOYMENT EXPENDITURE INFORMATION GEOGRAPHICAL TARGETING HEALTH CARE HEALTH CENTERS HOUSEHOLD CHARACTERISTICS HOUSEHOLD CONSUMPTION HOUSEHOLD HEAD HOUSEHOLD LEVEL HOUSEHOLD SIZE HOUSEHOLD SURVEYS INCIDENCE OF POVERTY INCOME LIVING STANDARDS LIVING STANDARDS MEASUREMENT PARAMETER ESTIMATES POLICY RESEARCH POOR HOUSEHOLDS POVERTY GROUP POVERTY MAP POVERTY MAPS POVERTY PROFILES POVERTY RATES POVERTY REDUCTION PRIMARY HEALTH CARE PUBLIC SERVICES RURAL AREAS RURAL POVERTY SOCIAL MAPS SPATIAL DIMENSIONS SPATIAL DIMENSIONS OF POVERTY STANDARD ERRORS URBAN AREAS WASTE DISPOSAL BASIC NEEDS POVERTY POVERTY MITIGATION POVERTY MEASUREMENT SURVEY DATA CENSUS CONSUMPTION STATISTICS This poverty note analyzes the usefulness of poverty maps, and how they can be constructed using census and survey data, for the use and benefit of policy makers to focus scarce development resources. The note goes on to describe various kinds of poverty maps, such as those based on indexes of welfare, basic needs indicators, and disaggregated consumption-based factors. Methodologies to create these maps, are further discussed at some length. 2012-08-13T15:21:12Z 2012-08-13T15:21:12Z 1998-05 http://documents.worldbank.org/curated/en/1998/05/438764/using-disaggregated-poverty-maps-plan-sectoral-investments http://hdl.handle.net/10986/11544 English PREM Notes; No. 5 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank World Bank, Washington, DC Publications & Research :: Brief Publications & Research |
repository_type |
Digital Repository |
institution_category |
Foreign Institution |
institution |
Digital Repositories |
building |
World Bank Open Knowledge Repository |
collection |
World Bank |
language |
English |
topic |
BASIC NEEDS BENEFICIARIES CENSUS DATA CONSUMPTION DATA CONSUMPTION ESTIMATES CONSUMPTION EXPENDITURE CONSUMPTION EXPENDITURES CROWDING DATA REQUIREMENTS DEPRESSED AREAS DEVELOPING COUNTRY DEVELOPMENT ECONOMICS ECOLOGY ECONOMIC MANAGEMENT ECONOMICS EMPLOYMENT EXPENDITURE INFORMATION GEOGRAPHICAL TARGETING HEALTH CARE HEALTH CENTERS HOUSEHOLD CHARACTERISTICS HOUSEHOLD CONSUMPTION HOUSEHOLD HEAD HOUSEHOLD LEVEL HOUSEHOLD SIZE HOUSEHOLD SURVEYS INCIDENCE OF POVERTY INCOME LIVING STANDARDS LIVING STANDARDS MEASUREMENT PARAMETER ESTIMATES POLICY RESEARCH POOR HOUSEHOLDS POVERTY GROUP POVERTY MAP POVERTY MAPS POVERTY PROFILES POVERTY RATES POVERTY REDUCTION PRIMARY HEALTH CARE PUBLIC SERVICES RURAL AREAS RURAL POVERTY SOCIAL MAPS SPATIAL DIMENSIONS SPATIAL DIMENSIONS OF POVERTY STANDARD ERRORS URBAN AREAS WASTE DISPOSAL BASIC NEEDS POVERTY POVERTY MITIGATION POVERTY MEASUREMENT SURVEY DATA CENSUS CONSUMPTION STATISTICS |
spellingShingle |
BASIC NEEDS BENEFICIARIES CENSUS DATA CONSUMPTION DATA CONSUMPTION ESTIMATES CONSUMPTION EXPENDITURE CONSUMPTION EXPENDITURES CROWDING DATA REQUIREMENTS DEPRESSED AREAS DEVELOPING COUNTRY DEVELOPMENT ECONOMICS ECOLOGY ECONOMIC MANAGEMENT ECONOMICS EMPLOYMENT EXPENDITURE INFORMATION GEOGRAPHICAL TARGETING HEALTH CARE HEALTH CENTERS HOUSEHOLD CHARACTERISTICS HOUSEHOLD CONSUMPTION HOUSEHOLD HEAD HOUSEHOLD LEVEL HOUSEHOLD SIZE HOUSEHOLD SURVEYS INCIDENCE OF POVERTY INCOME LIVING STANDARDS LIVING STANDARDS MEASUREMENT PARAMETER ESTIMATES POLICY RESEARCH POOR HOUSEHOLDS POVERTY GROUP POVERTY MAP POVERTY MAPS POVERTY PROFILES POVERTY RATES POVERTY REDUCTION PRIMARY HEALTH CARE PUBLIC SERVICES RURAL AREAS RURAL POVERTY SOCIAL MAPS SPATIAL DIMENSIONS SPATIAL DIMENSIONS OF POVERTY STANDARD ERRORS URBAN AREAS WASTE DISPOSAL BASIC NEEDS POVERTY POVERTY MITIGATION POVERTY MEASUREMENT SURVEY DATA CENSUS CONSUMPTION STATISTICS Hentschel, Jesko Lanjouw, Peter Using Disaggregated Poverty Maps to Plan Sectoral Investments |
relation |
PREM Notes; No. 5 |
description |
This poverty note analyzes the
usefulness of poverty maps, and how they can be constructed
using census and survey data, for the use and benefit of
policy makers to focus scarce development resources. The
note goes on to describe various kinds of poverty maps, such
as those based on indexes of welfare, basic needs
indicators, and disaggregated consumption-based factors.
Methodologies to create these maps, are further discussed at
some length. |
format |
Publications & Research :: Brief |
author |
Hentschel, Jesko Lanjouw, Peter |
author_facet |
Hentschel, Jesko Lanjouw, Peter |
author_sort |
Hentschel, Jesko |
title |
Using Disaggregated Poverty Maps to Plan Sectoral Investments |
title_short |
Using Disaggregated Poverty Maps to Plan Sectoral Investments |
title_full |
Using Disaggregated Poverty Maps to Plan Sectoral Investments |
title_fullStr |
Using Disaggregated Poverty Maps to Plan Sectoral Investments |
title_full_unstemmed |
Using Disaggregated Poverty Maps to Plan Sectoral Investments |
title_sort |
using disaggregated poverty maps to plan sectoral investments |
publisher |
World Bank, Washington, DC |
publishDate |
2012 |
url |
http://documents.worldbank.org/curated/en/1998/05/438764/using-disaggregated-poverty-maps-plan-sectoral-investments http://hdl.handle.net/10986/11544 |
_version_ |
1764417117447258112 |