Making the Poor Count Takes More than Counting the Poor: A Quick Poverty Assessment of the State of Bahia, Brazil
The state of Bahia, Brazil has made progress in reducing poverty and improving social indicators in the past decade. Despite this progress, Bahia's poverty is among the highest and its social indicators are among the lowest in Brazil. Currentl...
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| Format: | Policy Research Working Paper |
| Language: | English en_US |
| Published: |
World Bank, Washington, D.C.
2013
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| Online Access: | http://documents.worldbank.org/curated/en/2004/02/3910308/making-poor-count-takes-more-counting-poor-quick-poverty-assessment-state-bahia-brazil http://hdl.handle.net/10986/14313 |
| Summary: | The state of Bahia, Brazil has made
progress in reducing poverty and improving social indicators
in the past decade. Despite this progress, Bahia's
poverty is among the highest and its social indicators are
among the lowest in Brazil. Currently, 41 percent of
Bahia's population live in households below the poverty
level, a drop of 14 percentage points since 1993. Moreover,
poverty is less deep than in 1993, but deeper than in 1981.
The fall in Bahia's social indicators, such as infant
mortality and adult illiteracy, corroborate the improvement
in measured income poverty. Part of the reason why the
poverty indicators of Bahia are worse than in other
countries with similar per-capita income is because of
income inequality. In 2000 the Gini coefficient for Bahia
was 0.61. The National Household Survey Data, PNAD, from
1981-2001 reveal that living in Bahia does not by itself
affect the probability of falling below the poverty line in
Brazil. Hence, other characteristics are more important for
poverty reduction than geographical location. The strongest
poverty correlates are education, experience, race, rural
location, gender, and labor market association. Analyses
reveal that the probability of being poor is decreasing with
increasing educational attainment. The gender of the
household head does not matter for poverty according to the
poverty profile, but when we control for education and other
individual characteristics, female-headed households have a
much larger likelihood of being poor than do male-headed
households. Household size also matters for poverty. Larger
households are more likely to experience poverty than
smaller households, and the effect is concave. Moreover,
households with members under age five appear more likely to
fall below the poverty line than families with no children
below five years old. The presence of old-aged people (above
65 years of age) in the household is an important factor
contributing to poverty reduction. |
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