Skip to Main Navigation

Where They Live : District-Level Measures of Poverty, Average Consumption, and the Middle Class in Central Asia (Russo)

Rapid economic growth over the past two decades lifted millions of people out of poverty in Central Asia. But the uneven spread of prosperity left many communities struggling to catch up. To support lagging regions within countries, each of the region's five national governments has made convergence a pillar of their development strategies. An imperfect patchwork of household surveys allows policy makers to monitor progress and identify some spatial disparities. But these share an important weakness: none of the official surveys in the region is representative when disaggregated to the level of districts. Islands of poverty and prosperity are thus lost in the averages -- leading to targeting inaccuracies that can slow the pace of poverty reduction. This study partially addresses the challenge. The accuracy of key welfare indicators is sharpened well beyond what could be achieved for any country alone by: i) unifying survey data from across the region and ii) applying the techniques of small-area estimation. The results provide detailed measures of welfare that in turn can be disaggregated for each district in Central Asia. Comprehensive maps of where the poor and the middle class live are presented, for the entire region and individually for each country.


  • Data do documento


  • TIpo de documento

    Documento de trabalho sobre pesquisa de políticas

  • No. do relatório


  • Nº do volume


  • Total Volume(s)


  • País

    Ásia Central,

  • Região

    Europa e Ásia Central,

  • Data de divulgação


  • Disclosure Status


  • Nome do documento

    Where They Live : District-Level Measures of Poverty, Average Consumption, and the Middle Class in Central Asia

  • Palavras-chave

    baseline survey; household budget survey; middle class; average per capita consumption; public-private partnership; international poverty line; survey data; small area estimation; high poverty rate; estimates of poverty; Rate of migration; average poverty rate; middle class share; high poverty line; welfare measure; welfare indicator; poverty among household; reduction in poverty; measures of welfare; early childhood learning; Oil & Gas; determinants of migration; purchasing power parity; coefficient of variation; Social Protection Benefits; informal economic activity; land cover type; Oil and Gas; cost of living; ppp terms; average consumption; internationally comparable; poverty estimate; sampling variance; administrative datum; sampling error; rural area; household composition; statistical model; sample design; extreme poverty; income class; official poverty; census data; expenditure module; small sample; sampling design; learning center; confidence interval; conversion factor; geographic coverage; economic volatility; satellite imagery; weighted average; stratified sample; sensitivity analysis; consumption module; regression model; household consumption; household survey; poverty indicator; price difference; development policy; human population; Population Density; global effort; open access; study including; point estimate; global standard; labor migrants; household welfare; regional context; inappropriate policy; geographic area; bottom quintile; random selection; poverty headcount; gas flare; boom-bust cycle; primarily use; collected data; annex annex; spatial dimension; expenditure model; aggregate data; economic shock; lagging region; measure of use; air temperature; international community; social assistance; unemployment rate; harmonization of standard; household income; government administrative; consumption level; regional disparity; model development; agriculture sector; estimation procedure; survey sample; economic hardship; idiosyncratic shock; expenditure survey; migration rate; small fraction; sample units; income threshold; transition process; national household; cross-country comparison; survey design; economic stability; headcount ratio; official population; random error; remote sensing; economic convergence; empirical counterpart; explanatory variable; administrative sources; standard approach; vulnerable people; mountainous region; monitoring data; weather station; poverty threshold; remote area



Versão oficial do documento (pode conter assinaturas, etc.)

  • PDF oficial
  • TXT*
  • Total Downloads** :
  • Download Stats
  • *A versão do texto é um OCR incorreto e está incluído unicamente em benefício de usuários com conectividade lenta.