Share of population in poverty ($3 a day) 1990

Share of population in poverty ($3 a day) statistics by country with historical data from Our World in Data.

22 data pointsGlobal CoverageWorld Bank (WB)

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Complete Data Rankings

Rank
1
China flag
China
83.032
2
Pakistan flag
Pakistan
79.465
3
Indonesia flag
Indonesia
78.585
4
Honduras flag
Honduras
51.673
5
Brazil flag
Brazil
30.338
6
Sri Lanka flag
Sri Lanka
23.372
7
Iran flag
Iran
21.613
8
Thailand flag
Thailand
21.052
9
Tunisia flag
Tunisia
16.295
10
Chile flag
Chile
16.03
11
Costa Rica flag
Costa Rica
13.883
12
Jamaica flag
Jamaica
11.633
13
Morocco flag
Morocco
11.248
14
Egypt flag
Egypt
7.143
15
Paraguay flag
Paraguay
2.547
16
Canada flag
Canada
1.248
17
Netherlands flag
Netherlands
1.201
18
United States flag
United States
0.497
19
Spain flag
Spain
0.494
20
France flag
France
0.248
21
United Kingdom flag
United Kingdom
0.219
22
Luxembourg flag
Luxembourg
0

Top 10 Countries

  1. #1China flagChina
  2. #2Pakistan flagPakistan
  3. #3Indonesia flagIndonesia
  4. #4Honduras flagHonduras
  5. #5Brazil flagBrazil
  6. #6Sri Lanka flagSri Lanka
  7. #7Iran flagIran
  8. #8Thailand flagThailand
  9. #9Tunisia flagTunisia
  10. #10Chile flagChile

Analysis: These countries represent the highest values in this dataset, showcasing significant scale and impact on global statistics.

Bottom 10 Countries

  1. #22Luxembourg flagLuxembourg
  2. #21United Kingdom flagUnited Kingdom
  3. #20France flagFrance
  4. #19Spain flagSpain
  5. #18United States flagUnited States
  6. #17Netherlands flagNetherlands
  7. #16Canada flagCanada
  8. #15Paraguay flagParaguay
  9. #14Egypt flagEgypt
  10. #13Morocco flagMorocco

Context: These countries or territories have the lowest values, often due to geographic size, administrative status, or specific characteristics.

Analysis & Context

Overview of Poverty Levels in 1990

In 1990, China led the world with a staggering 83.03% of its population living in poverty defined as living on less than $3 a day. The global range of poverty levels among the 22 countries with available data varied significantly, with a minimum of 0.00% and a maximum of 83.03%. The average share of the population in poverty across these countries was 21.45%, while the median stood at 13.88%.

Geographical Insights and Economic Conditions

The distribution of poverty levels in 1990 reveals stark geographical disparities shaped by economic conditions and historical contexts. For instance, Pakistan and Indonesia followed closely behind China, with poverty rates of 79.46% and 78.59%, respectively. These countries were grappling with issues such as rapid population growth and limited industrialization, which hindered economic development. In contrast, countries like Luxembourg and the United Kingdom reported minimal poverty levels of 0.00% and 0.22%, respectively, reflecting their robust economies and effective social safety nets.

Countries such as Honduras (51.67%) and Brazil (30.34%) illustrate how political instability and economic policies can exacerbate poverty. Honduras, for example, faced significant challenges due to civil unrest and a lack of infrastructure investment, which limited access to education and healthcare, perpetuating the cycle of poverty.

Poverty Trends and Year-over-Year Changes

Analyzing year-over-year changes, the data indicates an average increase in poverty levels of 1.06% across the countries studied, translating to a 2.2% rise. Notably, Brazil experienced the largest increase at 4.69%, a reflection of the country’s economic struggles during the late 1980s and early 1990s, which included hyperinflation and social unrest. Similarly, Honduras saw a rise of 2.19%, highlighting the ongoing impact of political instability on its economic landscape.

Conversely, some countries demonstrated resilience against rising poverty rates. For instance, Costa Rica managed to decrease its poverty levels by 0.52%, showcasing effective government policies focused on education and health services. This contrasts sharply with the stagnation in poverty levels in developed nations like the United States and Canada, which saw negligible changes, suggesting that even in wealthier countries, structural issues can impede progress in poverty alleviation.

Social Policies and Their Impact on Poverty Rates

The effectiveness of social policies in combating poverty is evident in the data. Countries like Chile (16.03%) and Tunisia (16.29%) have implemented targeted social programs aimed at reducing poverty, which have proven successful in lowering poverty rates compared to their regional peers. The contrast with nations like Iran (21.61%) and Thailand (21.05%) suggests that while some countries have made strides, others still face significant barriers to effective poverty reduction.

This divergence in poverty rates underscores the importance of tailored economic policies and social safety nets in addressing the unique challenges faced by each country. For instance, countries with stronger governance and more robust economic frameworks tend to experience lower levels of poverty, as seen in the bottom tier of the data, where developed nations such as France and Spain reported poverty levels below 0.50%.

In conclusion, the data from 1990 reveals a complex interplay of economic, political, and social factors influencing poverty levels across different countries. Understanding these dynamics is crucial for developing effective strategies aimed at reducing poverty and promoting sustainable economic growth.

Data Source

World Bank (WB)

The World Bank is like a cooperative, made up of 189 member countries. These member countries, or shareholders, are represented by a Board of Governors, who are the ultimate policymakers at the World Bank. Generally, the governors are member countries' ministers of finance or ministers of development. They meet once a year at the Annual Meetings of the Boards of Governors of the World Bank Group and the International Monetary Fund.

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Historical Data by Year

Explore Share of population in poverty ($3 a day) data across different years. Compare trends and see how statistics have changed over time.

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