Skip to Main Navigation

Geographic aspects of inequality and poverty (English)

Poverty analysis is often based on national level indicators that are compared over time or across countries. The broad trends that can be identified using aggregate information are useful for evaluating and monitoring the overall performance of a country. For many policy and research applications, however, the information that can be extracted from aggregate indicators is not sufficient. Researchers and policy makers therefore increasingly collect or construct geographically disaggregated indicators that provide information about the spatial distribution of inequality and poverty within a country. Such data sets are sometimes called 'poverty maps' since they allow the visualization of the incidence and magnitude of poverty across space. These pages discuss briefly why geographic aspects of inequality and poverty have become an important component of poverty research and policy analysis, how poverty maps are constructed, what their limitations are, and how they can be used in research and policy making.

Details

  • Author

    Deichmann,Uwe Klaus

  • Document Date

    1999/01/01

  • Document Type

    Working Paper

  • Report Number

    76510

  • Volume No

    1

  • Total Volume(s)

    1

  • Country

    World,

  • Region

    The World Region,

  • Disclosure Date

    2013/04/10

  • Disclosure Status

    Disclosed

  • Doc Name

    Geographic aspects of inequality and poverty

  • Keywords

    equity in access to services;food security and vulnerability;access to health care;spatial concentration of poverty;famine early warning system;access to safe water;access to basic service;small number of household;gaps in service provision;geographical targeting;spatial poverty trap;Poverty & Inequality;estimation of poverty;small area;census data;small area data;nature of poverty;measure of poverty;geographic information system;sample survey;cost of service;infrastructure and services;analysis of poverty;allocation of resource;vulnerability to famine;household survey data;poverty alleviation program;local decision making;human development indicator;small area estimation;design of policy;number of water;linear regression model;safe drinking water;characteristics of poor;number of women;reproductive age group;human capital variables;quality of public;participation in decision;child mortality estimates;natural resource endowment;health outcome indicators;access to infrastructure;distribution of poverty;infant mortality rate;database management system;education and health;effect of transfer;human welfare;living standard;housing census;geographic targeting;health facility;poverty indicator;geographically reference;household consumption;empirical evidence;geographic aggregation;spatial coverage;geographic region;consumption measure;regional disparity;Public Infrastructure;result indicator;food price;crop failure;productive asset;geographic factors;resource endowments;agricultural surplus;geographic location;survey sample;high resolution;anthropometric measure;aggregate indicator;spatial distribution;survey results;individual decision;poverty index;consumption level;spatial disparities;output market;cause-effect relationship;effective policies;designing intervention;transfer payment;geographic variable;price incentive;dynamic gains;rural sociology;causal link;geographic analysis;data privacy;quality information;educational outcome;poor household;personal income;Health Service;local stakeholder;labor mobility;migration behavior;local power;political geography;research tool;spatial sampling;statistical significance;reducing inequality;multiple dimension;health clinic;ranking scheme;composite indicator;country-level indicator;life expectancy;index base;geographic area;market town;soil quality;heterogeneous sources;computer software;agroclimatic condition;survey instrument;sample cluster;explanatory variable;health clinics;transport network;Poverty Analysis;drought relief;subsistence farmer;climatic shocks;high vulnerability;food shortage;diffusion process;household characteristic;important component;health indicator;social condition;aggregate data;census questionnaire;census taking;civil registration;socioeconomic indicator;local empowerment;income poverty;poor health;caloric intake;poverty research;food supply;market income;housing condition;composite measure;indicator value;rural area;reproductive services;household level;education level;housing size;regional pattern;targeted transfer;spatial model;consumption datum;estimation technique;climatic suitability;targeting mechanism;Public Services;population group;intended beneficiary;explanatory factors;biophysical indicators;administrative budget;municipal government;community targeting;administrative structure;welfare indicator;means testing;administrative cost;social program;spatial analysis;natural hazard;agricultural potential;land use;individual assessment;local population;competitive environment;poor infrastructure;direct transfer;subsidized credit;individual behavior;

Downloads

COMPLETE REPORT

Official version of document (may contain signatures, etc)

  • Official PDF
  • TXT*
  • Total Downloads** :
  • Download Stats
  • *The text version is uncorrected OCR text and is included solely to benefit users with slow connectivity.

Citation

Deichmann,Uwe Klaus

Geographic aspects of inequality and poverty (English). Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/338281468335942762/Geographic-aspects-of-inequality-and-poverty