[iais/images/nav/drghead.htm]

people8.jpg (6059 bytes)

Methodology

publications.gif (2943 bytes)
Is the incidence and depth of poverty rising in the world? Does income inequality increase with rising average standards of living? How much do the poor share in the benefits of higher average levels of living? How much do they lose from aggregate contraction? These questions are often asked. But they are hard questions to answer convincingly.

In principle, household surveys can address such questions. But coverage and quality are uneven. Data on poor people has historically been wanting relative to most other data. For example, the 1979 World Development Report (WDR), and the WDRs for many years after, only gave distributional data from household surveys for 20 or so developing countries. Yet macroeconomic aggregates were available for almost all countries.

The availability of distributional data for developing countries has improved over the last 10 years. For example, the 2000 issue of World Development Indicators gives distributional data for 90 low and middle income countries. The timeliness of data has also improved. In the 1985 WDR, the average lag was 11 years (so the average survey date was 1974!). The lag is now under five years. Efforts at improving data quality and country coverage have been made by many countries and international agencies, including the World Bank. There is a long way to go before we can even say that the all poor countries have a good quality survey for poverty monitoring, and even further before we can be confident of data comparability across countries and over time. But there has been progress.

Drawing on the set of suitable household surveys currently available, this web site provides access to estimates of various poverty and inequality measures made by staff of the World Bank’s Research Group with considerable help from their colleagues in the bank’s regional units. Unlike past compilations of distributional data across countries, all these estimates have been based on the primary survey data (either in raw form or specially-designed tabulations from the raw data). No pre-existing estimates from other compilations or country studies have been used. This allows some obvious comparability problems to be avoided. But there are problems that cannot be avoided, such as stemming from differences between countries or over time in the survey design. When a serious problem is known to exist, a survey might be dropped. But many problems remain. Continuing efforts are being made to improve the estimates.

The methods used are summarized in the paper, "How did the world’s poorest fare in the 1990s?" that can be downloaded from this site. References are also given to various papers by those involved in the project, using household surveys to measure poverty and inequality, and to assess anti-poverty policies.

Population Living Below $1.08 a day (1993 purchasing power parity)

Click on the region below to access detailed country information

Poverty rate (% below $1.08))

Number of poor (1,000,000)

For Data
Source

1987 1990 1993 1996 1998 1987 1990 1993 1996 1998
East Asia & 26.60 27.58 25.24 14.93 15.32 415.13 452.45 431.91 265.13 278.32

click here

(exclude China) 22.91 15.04 12.37 8.05 9.61 109.22 75.99 65.96 45.17 55.59
East Europe &
Central Asia
0.24 1.56 3.95 5.12 5.14 1.07 7.14 18.26 23.82 23.98 click here
Latin America 15.33 16.80 15.31 15.63 15.57 63.66 73.76 70.79 75.99 78.16 click here
Middle East &
North Africa
11.53 9.28 8.41 7.81 7.32 24.99 21.99 21.54 21.35 20.85 click here
South Asia 44.94 44.01 42.39 42.26 39.99 474.41 495.11 505.08 531.65 522.00 click here
sub-Saharan Africa 46.61 47.67 49.68 48.53 46.30 217.22 242.31 273.29 288.97 290.87 click here
Total 28.69 29.32 28.50 24.86 24.27 1196.48 1292.74 1320.88 1206.92 1214.18    
Total
(exclude China)
29.56 29.34 28.47 28.15 27.30 890.57 916.29 954.92 986.95 991.46

 

[iais/images/nav/resfooter.htm]