100+ datasets found
  1. Share of world population living in poverty 1990-2022

    • statista.com
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    Statista, Share of world population living in poverty 1990-2022 [Dataset]. https://www.statista.com/statistics/1341003/poverty-rate-world/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    Over the past 30 years, there has been an almost constant reduction in the poverty rate worldwide. Whereas nearly ** percent of the world's population lived on less than 2.15 U.S. dollars in terms of 2017 Purchasing Power Parity (PPP) in 1990, this had fallen to *** percent in 2022. This is even though the world's population was growing over the same period. However, there was a small increase in the poverty rate during the COVID-19 pandemic in 2020 and 2021, when thousands of people became unemployed overnight. Moreover, the rising cost of living in the aftermath of the pandemic and spurred by the Russian invasion of Ukraine in 2022 meant that many people were struggling to make ends meet. Poverty is a regional problem Poverty can be measured in relative and absolute terms. Absolute poverty concerns basic human needs such as food, clothing, shelter, and clean drinking water, whereas relative poverty looks at whether people in different countries can afford a certain living standard. Most countries that have a high percentage of their population living in absolute poverty, meaning that they are poor compared to international standards, are regionally concentrated. African countries are most represented among the countries in which poverty prevails the most. In terms of numbers, Sub-Saharan Africa and South Asia have the most people living in poverty worldwide. Inequality on the rise How wealth, or the lack thereof, is distributed within the global population and even within countries is very unequal. In 2022, the richest one percent of the world owned almost half of the global wealth, while the poorest 50 percent owned less than two percent in the same year. Within regions, Latin America had the most unequal distribution of wealth, but this phenomenon is present in all world regions.

  2. M

    World Poverty Rate | Historical Data | Chart | 1981-2023

    • macrotrends.net
    csv
    Updated Oct 31, 2025
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    MACROTRENDS (2025). World Poverty Rate | Historical Data | Chart | 1981-2023 [Dataset]. https://www.macrotrends.net/datasets/global-metrics/countries/wld/world/poverty-rate
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    csvAvailable download formats
    Dataset updated
    Oct 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1981 - Dec 31, 2023
    Area covered
    World
    Description

    Historical dataset showing World poverty rate by year from 1981 to 2023.

  3. Extreme poverty as share of global population in Africa 2025, by country

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Extreme poverty as share of global population in Africa 2025, by country [Dataset]. https://www.statista.com/statistics/1228553/extreme-poverty-as-share-of-global-population-in-africa-by-country/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    Africa
    Description

    In 2025, nearly 11.7 percent of the world population in extreme poverty, with the poverty threshold at 2.15 U.S. dollars a day, lived in Nigeria. Moreover, the Democratic Republic of the Congo accounted for around 11.7 percent of the global population in extreme poverty. Other African nations with a large poor population were Tanzania, Mozambique, and Madagascar. Poverty levels remain high despite the forecast decline Poverty is a widespread issue across Africa. Around 429 million people on the continent were living below the extreme poverty line of 2.15 U.S. dollars a day in 2024. Since the continent had approximately 1.4 billion inhabitants, roughly a third of Africa’s population was in extreme poverty that year. Mozambique, Malawi, Central African Republic, and Niger had Africa’s highest extreme poverty rates based on the 2.15 U.S. dollars per day extreme poverty indicator (updated from 1.90 U.S. dollars in September 2022). Although the levels of poverty on the continent are forecast to decrease in the coming years, Africa will remain the poorest region compared to the rest of the world. Prevalence of poverty and malnutrition across Africa Multiple factors are linked to increased poverty. Regions with critical situations of employment, education, health, nutrition, war, and conflict usually have larger poor populations. Consequently, poverty tends to be more prevalent in least-developed and developing countries worldwide. For similar reasons, rural households also face higher poverty levels. In 2024, the extreme poverty rate in Africa stood at around 45 percent among the rural population, compared to seven percent in urban areas. Together with poverty, malnutrition is also widespread in Africa. Limited access to food leads to low health conditions, increasing the poverty risk. At the same time, poverty can determine inadequate nutrition. Almost 38.3 percent of the global undernourished population lived in Africa in 2022.

  4. Global access to electricity as a share of population 1990-2022

    • statista.com
    Updated May 30, 2025
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    Statista Research Department (2025). Global access to electricity as a share of population 1990-2022 [Dataset]. https://www.statista.com/topics/781/poverty/
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    Dataset updated
    May 30, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    The share of the global population with access to electricity in 2022 was roughly 91 percent, up from 71.4 percent in 1990. South Sudan was the least electrified country worldwide, followed by Burundi.

  5. H

    Global Subnational Atlas of Poverty

    • dataverse.harvard.edu
    • dataone.org
    Updated Jan 14, 2023
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    Hai-Anh H. Dang; Minh Cong Nguyen; Trong-Anh Trinh (2023). Global Subnational Atlas of Poverty [Dataset]. http://doi.org/10.7910/DVN/MLHFAF
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 14, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Hai-Anh H. Dang; Minh Cong Nguyen; Trong-Anh Trinh
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The database (version August 2022) is built upon the released Global Subnational Atlas of Poverty (GSAP) (World Bank, 2021). In this database, we assemble a new panel dataset that provides (headcount) poverty rates using the daily poverty lines of US $1.90, $3.20, and $5.50 (based on the revised 2011 Purchasing Power Parity (PPP) dollars). This database is generated using household income and consumption surveys from the World Bank’s Global Monitoring Database (GMD), which underlie country official poverty statistics, and offers the most detailed subnational poverty data on a global scale to date. The Global Subnational Atlas of Poverty (GSAP) is produced by the World Bank’s Poverty and Equity Global Practice, coordinated by the Data for Goals (D4G) team, and supported by the six regional statistics teams in the Poverty and Equity Global Practice, and Global Poverty & Inequality Data Team (GPID) in Development Economics Data Group (DECDG) at the World Bank. The Global Monitoring Database (GMD) is the World Bank’s repository of multitopic income and expenditure household surveys used to monitor global poverty and shared prosperity. The household survey data are typically collected by national statistical offices in each country, and then compiled, processed, and harmonized. The process is coordinated by the Data for Goals (D4G) team and supported by the six regional statistics teams in the Poverty and Equity Global Practice. Global Poverty & Inequality Data Team (GPID) in Development Economics Data Group (DECDG) also contributed historical data from before 1990, and recent survey data from Luxemburg Income Studies (LIS). Selected variables have been harmonized to the extent possible such that levels and trends in poverty and other key sociodemographic attributes can be reasonably compared across and within countries over time. The GMD’s harmonized microdata are currently used in Poverty and Inequality Platform (PIP), World Bank’s Multidimensional Poverty Measures (WB MPM), the Global Database of Shared Prosperity (GDSP), and Poverty and Shared Prosperity Reports. Reference: World Bank. (2021). World Bank estimates based on data from the Global Subnational Atlas of Poverty, Global Monitoring Database. World Bank: Washington. https://datacatalog.worldbank.org/search/dataset/0042041

  6. G

    Poverty ratio by country, around the world | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jul 30, 2019
    + more versions
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    Globalen LLC (2019). Poverty ratio by country, around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/poverty_ratio/
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    excel, csv, xmlAvailable download formats
    Dataset updated
    Jul 30, 2019
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 2000 - Dec 31, 2023
    Area covered
    World
    Description

    The average for 2020 based on 54 countries was 19.31 percent. The highest value was in the Gambia: 53.4 percent and the lowest value was in China: 0 percent. The indicator is available from 2000 to 2023. Below is a chart for all countries where data are available.

  7. Female extreme poverty rate worldwide 2015-2030, by region

    • statista.com
    Updated Dec 15, 2023
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    Statista (2023). Female extreme poverty rate worldwide 2015-2030, by region [Dataset]. https://www.statista.com/statistics/1423615/women-extreme-poverty-rate-world-region/
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    Dataset updated
    Dec 15, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    World
    Description

    Using a poverty metric of 2.15 U.S. dollars per day, 38.7 percent of the women in Sub-Saharan Africa were living in extreme poverty in 2023. On the other hand, less than one percent of the population in Europe and North America as well as Australia and New Zealand were living in extreme poverty. Nevertheless, there are also many people in these regions struggling to make ends meet.

  8. u

    Poverty rate 2019

    • onemap.un.org
    Updated May 23, 2023
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    bblankespoor_wb (2023). Poverty rate 2019 [Dataset]. https://onemap.un.org/items/35419850774b4a7db5cff7a7b71c9da3
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    Dataset updated
    May 23, 2023
    Dataset authored and provided by
    bblankespoor_wb
    Area covered
    Description

    Definition: The indicator “proportion of the population below the international poverty line” is defined as the percentage of the population living on less than $2.15 a day at 2017 international prices. Concepts: In assessing poverty in a given country, and how best to reduce poverty, one naturally focuses on a poverty line that is considered appropriate for that country. But how do we talk meaningfully about Last updated: 2023-03-31 “global poverty?” Poverty lines across countries vary in terms of their purchasing power, and they have a strong economic gradient, such that richer countries tend to adopt higher standards of living in defining poverty. But to consistently measure global absolute poverty in terms of consumption we need to treat two people with the same purchasing power over commodities the same way—both are either poor or not poor—even if they live in different countries. Since World Development Report 1990, the World Bank has aimed to apply a common standard in measuring extreme poverty, anchored to what poverty means in the world's poorest countries. The welfare of people living in different countries can be measured on a common scale by adjusting for differences in the purchasing power of currencies. The commonly used $1 a day standard, measured in 1985 international prices and adjusted to local currency using purchasing power parity (PPP) exchange rates, was chosen for World Development Report 1990 because it was typical of the poverty lines in lowincome countries at the time. As differences in the cost of living across the world evolve, the international poverty line has to be periodically updated using new PPP price data to reflect these changes. The last change was in September 2022, when the World Bank adopted $2.15 as the international poverty line using the 2017 PPP. Prior to that, the 2015 update set the international poverty line at $1.90 using the 2011 PPP. Poverty measures based on international poverty lines attempt to hold the real value of the poverty line constant across countries and over time. Unit of measure: Percent (%). The unit of measure is the proportion of people.Validation: The raw data are obtained by poverty economists through their contacts in the NSOs, and checked for quality before being submitted for further analysis. The raw data can be unit-record survey data, or grouped data, depending on the agreements with the country governments. In most cases, the welfare aggregate, the essential element for poverty estimation, is generated by the country governments. Sometimes, the World Bank constructs the welfare aggregate or adjusts the aggregate provided by the countryData availability: Data are available in 160+ economies, (measured in terms of number of economies that have at least 1 data point). References: For more information and methodology, please see : https://worldbank.github.io/PIP-Methodology/. Also, consult: https://openknowledge.worldbank.org/handle/10986/37061

  9. E

    Egypt EG: Poverty Headcount Ratio at National Poverty Lines: Urban: % of...

    • ceicdata.com
    Updated Aug 4, 2021
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    CEICdata.com (2021). Egypt EG: Poverty Headcount Ratio at National Poverty Lines: Urban: % of Urban Population [Dataset]. https://www.ceicdata.com/en/egypt/poverty/eg-poverty-headcount-ratio-at-national-poverty-lines-urban--of-urban-population
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    Dataset updated
    Aug 4, 2021
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2000 - Dec 1, 2010
    Area covered
    Egypt
    Description

    Egypt EG: Poverty Headcount Ratio at National Poverty Lines: Urban: % of Urban Population data was reported at 15.300 % in 2010. This records an increase from the previous number of 11.000 % for 2008. Egypt EG: Poverty Headcount Ratio at National Poverty Lines: Urban: % of Urban Population data is updated yearly, averaging 10.550 % from Dec 2000 (Median) to 2010, with 4 observations. The data reached an all-time high of 15.300 % in 2010 and a record low of 9.300 % in 2000. Egypt EG: Poverty Headcount Ratio at National Poverty Lines: Urban: % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Egypt – Table EG.World Bank.WDI: Poverty. Urban poverty headcount ratio is the percentage of the urban population living below the national poverty lines.; ; World Bank, Global Poverty Working Group. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific) poverty lines.; ; This series only includes estimates that to the best of our knowledge are reasonably comparable over time for a country. Due to differences in estimation methodologies and poverty lines, estimates should not be compared across countries.

  10. Global Poverty and Inequality Data

    • kaggle.com
    zip
    Updated Sep 22, 2022
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    Stetson Done (2022). Global Poverty and Inequality Data [Dataset]. https://www.kaggle.com/datasets/stetsondone/global-poverty-and-inequality-data
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    zip(64037 bytes)Available download formats
    Dataset updated
    Sep 22, 2022
    Authors
    Stetson Done
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Global Poverty and Inequality Data

    Source: Cross-National Data Center in Luxembourg - Income Study https://www.lisdatacenter.org/

    Data Dictionary:

    gini - Gini Coefficient atk5 - Atkinson Coefficient (epsilon=0.5) atk1 - Atkinson Coefficient (epsilon=1) d9010 - Percentile Ratio (90/10) d9050 - Percentile Ratio (90/50) d8020 - Percentile Ratio (80/20) poorAll4 - Relative Poverty Rates - Total Population (40%) poorAll5 - Relative Poverty Rates - Total Population (50%) poorAll6 - Relative Poverty Rates - Total Population (60%) poorK4 - Relative Poverty Rates - Children (40%) poorK5 - Relative Poverty Rates - Children (50%) poorK6 - Relative Poverty Rates - Children (60%) poorE4 - Relative Poverty Rates - Elderly (40%) poorE5 - Relative Poverty Rates - Elderly (50%) poorE6 - Relative Poverty Rates - Elderly (60%) d5075 - Distribution of Children by Income Group (50-75%) d75150 - Distribution of Children by Income Group (75-150%) d150 - Distribution of Children by Income Group (above 150%) poortp - Children Poverty Rates - Two-Parent Families (50%) poorsm - Children Poverty Rates - Single-Mother Families (50%) pkidsm - % Children Living in Single-Mother Families eymed - Median Equivalized Income average - Mean Equivalized Income

  11. Population Living in Poverty (by Income)

    • kaggle.com
    zip
    Updated Dec 8, 2022
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    Elmo Allistair (2022). Population Living in Poverty (by Income) [Dataset]. https://www.kaggle.com/datasets/elmoallistair/population-living-in-poverty
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    zip(129110 bytes)Available download formats
    Dataset updated
    Dec 8, 2022
    Authors
    Elmo Allistair
    Description

    Extreme poverty is defined as living below the International Poverty Line, which is $1.90 per day in 2011 prices and $2.15 per day in 2017 prices.

    The International Poverty Line is set by the World Bank to be representative of national definitions of poverty adopted in the world’s poorest countries. In addition to this very low poverty line the World Bank also sets two higher global poverty lines for measuring poverty: one that reflects the definitions of poverty adopted in lower-middle income countries, and one that reflects the definitions adopted in upper-middle income countries. Within the updated methodology, these lines are set at $3.65 and $6.85 in 2017 international-$, replacing the previous $3.20 and $5.50 lines expressed in 2011 international-$.

    International dollars (int.-$) are a hypothetical currency that is used for this. It is the result of adjusting both for inflation within countries over time and for differences in the cost of living between countries. The goal of international-$ is to provide a unit whose purchasing power is held fixed over time and across countries, such that one int.-$ can buy the same quantity and quality of goods and services no matter where or when it is spent. The price level in the US is used as the benchmark – or ‘numeraire’ – so that one 2017 int.-$ is defined as the value of goods and services that one US dollar would buy in the US in 2017.

    Data Source: From $1.90 to $2.15 a day: the updated International Poverty Line Thumbnail Image: Towfiqu barbhuiya's Unspash

  12. E

    Egypt EG: Poverty Headcount Ratio at National Poverty Lines: Rural: % of...

    • ceicdata.com
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    CEICdata.com, Egypt EG: Poverty Headcount Ratio at National Poverty Lines: Rural: % of Rural Population [Dataset]. https://www.ceicdata.com/en/egypt/poverty/eg-poverty-headcount-ratio-at-national-poverty-lines-rural--of-rural-population
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    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2000 - Dec 1, 2010
    Area covered
    Egypt
    Description

    Egypt EG: Poverty Headcount Ratio at National Poverty Lines: Rural: % of Rural Population data was reported at 32.300 % in 2010. This records an increase from the previous number of 28.900 % for 2008. Egypt EG: Poverty Headcount Ratio at National Poverty Lines: Rural: % of Rural Population data is updated yearly, averaging 27.850 % from Dec 2000 (Median) to 2010, with 4 observations. The data reached an all-time high of 32.300 % in 2010 and a record low of 22.100 % in 2000. Egypt EG: Poverty Headcount Ratio at National Poverty Lines: Rural: % of Rural Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Egypt – Table EG.World Bank: Poverty. Rural poverty headcount ratio is the percentage of the rural population living below the national poverty lines.; ; World Bank, Global Poverty Working Group. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific) poverty lines.; ; This series only includes estimates that to the best of our knowledge are reasonably comparable over time for a country. Due to differences in estimation methodologies and poverty lines, estimates should not be compared across countries.

  13. U.S. poverty rate 1990-2024

    • statista.com
    Updated Nov 19, 2025
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    Statista (2025). U.S. poverty rate 1990-2024 [Dataset]. https://www.statista.com/statistics/200463/us-poverty-rate-since-1990/
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    Dataset updated
    Nov 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2024, approximately 10.6 percent of the population was living below the national poverty line in the United States. This reflected a 0.5 percentage point decrease from the previous year. Most recently, poverty levels in the country peaked in 2010 at just over 15 percent. Poverty in the U.S. States The number of people living in poverty in the U.S. as well as poverty rates, vary greatly from state to state. With their large populations, California and Texas led that charts in terms of the size of their impoverished residents. On the other hand, Louisiana had the highest rates of poverty, standing at 20 percent in 2024. The state with the lowest poverty rate was New Hampshire at 5.9 percent. Vulnerable populations The poverty rate in the United States varies widely across different ethnic groups. American Indians and Alaska Natives are the ethnic group with the highest levels of poverty in 2024, with about 19 percent earning an income below the official threshold. In comparison, only about 7.5 percent of the White (non-Hispanic) and Asian populations were living below the poverty line. Children are one of the most poverty endangered population groups in the U.S. between 1990 and 2024. Child poverty peaked in 1993 with 22.7 percent of children living in poverty. Despite fluctuations, in 2024, poverty among minors reached its lowest level in decades, falling to 14.3 percent.

  14. Y

    Yemen YE: Poverty Headcount Ratio at National Poverty Lines: % of Population...

    • ceicdata.com
    Updated May 28, 2017
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    CEICdata.com (2017). Yemen YE: Poverty Headcount Ratio at National Poverty Lines: % of Population [Dataset]. https://www.ceicdata.com/en/yemen/poverty/ye-poverty-headcount-ratio-at-national-poverty-lines--of-population
    Explore at:
    Dataset updated
    May 28, 2017
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2005 - Dec 1, 2014
    Area covered
    Yemen
    Description

    Yemen YE: Poverty Headcount Ratio at National Poverty Lines: % of Population data was reported at 48.600 % in 2014. This records an increase from the previous number of 34.800 % for 2005. Yemen YE: Poverty Headcount Ratio at National Poverty Lines: % of Population data is updated yearly, averaging 41.700 % from Dec 2005 (Median) to 2014, with 2 observations. The data reached an all-time high of 48.600 % in 2014 and a record low of 34.800 % in 2005. Yemen YE: Poverty Headcount Ratio at National Poverty Lines: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Yemen – Table YE.World Bank: Poverty. National poverty headcount ratio is the percentage of the population living below the national poverty lines. National estimates are based on population-weighted subgroup estimates from household surveys.; ; World Bank, Global Poverty Working Group. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific) poverty lines.; ; This series only includes estimates that to the best of our knowledge are reasonably comparable over time for a country. Due to differences in estimation methodologies and poverty lines, estimates should not be compared across countries.

  15. World Bank Subnational Poverty Data

    • kaggle.com
    zip
    Updated Feb 28, 2018
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    Brooke Watson (2018). World Bank Subnational Poverty Data [Dataset]. https://www.kaggle.com/brookewatson/worldbank-subnational-poverty
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    zip(89676 bytes)Available download formats
    Dataset updated
    Feb 28, 2018
    Authors
    Brooke Watson
    Description

    Context

    This dataset was uploaded to support the Data Science For Good Kiva crowdfunding challenge. In particular, in uploading this dataset, I intend to assist with mapping subnational locations in the Kiva dataset to more accurate geocodes.

    Content

    This dataset contains poverty data at the administrative unit level 1, based on national poverty line(s). Administrative unit level 1 refers to the highest subnational unit level (examples include ‘state’, ‘governorate’, ‘province’). This dataset also provides data and methodology for distinguishing between poverty rates in urban and rural regions.

    This dataset includes one main .csv file: Subnational-PovertyData.csv, which includes a set of poverty indicators at the national and subnational level between the years 1996-2013. Many countries are missing data for multiple years, and no country has data for the years 1997-1999.

    It also includes three metadata .csv files: 1. Subnational-PovertyCountry.csv, which describes the country codes and subregions. 2.Subnational-PovertySeries.csv, which describes the three series indicators for national, urban, and rural poverty headcount ratios. This metadata file also including limitations, statistical methodologies, and development relevance for these metrics. 3. Subnational-Povertyfootnote.csv, which describes the years and sources for all of the country-series combinations.

    Acknowledgements

    This dataset is provided openly by the World Bank. Individual sources for the different data series are available in Subnational-Povertyfootnote.csv.

    This dataset is classified as Public under the Access to Information Classification Policy. Users inside and outside the World Bank can access this dataset. It is licensed under CC-BY 4.0.

    Metadata

    Type: Time Series Topics: Economic Growth Poverty Economy Coverage: IBRD Languages Supported: English Number of Economies: 60 Geographical Coverage: World Access Options: Download, Query Tool Temporal Coverage: 1996 - 2013 Last Updated: April 27, 2015

  16. Share of global population living in extreme poverty in Nigeria 2016-2023

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Share of global population living in extreme poverty in Nigeria 2016-2023 [Dataset]. https://www.statista.com/statistics/1287840/share-of-global-population-living-in-extreme-poverty-in-nigeria/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Nigeria
    Description

    In 2023, nearly ** percent of the world population in extreme poverty lived in Nigeria, considering the poverty threshold at **** U.S. dollars a day. Within the studied timeframe, the share mainly rose. Overall, the number of people living in extreme poverty in Africa was estimated to reach *** million in 2025.

  17. w

    Learning Poverty Global Database

    • data360.worldbank.org
    Updated Apr 18, 2025
    + more versions
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    (2025). Learning Poverty Global Database [Dataset]. https://data360.worldbank.org/en/dataset/WB_LPGD
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    Dataset updated
    Apr 18, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2001 - 2023
    Area covered
    Lesotho, Luxembourg, Uganda, Ukraine, Vietnam, Bangladesh, Georgia, Thailand, Ireland, Uzbekistan
    Description

    Will all children be able to read by 2030? The ability to read with comprehension is a foundational skill that every education system around the world strives to impart by late in primary school—generally by age 10. Moreover, attaining the ambitious Sustainable Development Goals (SDGs) in education requires first achieving this basic building block, and so does improving countries’ Human Capital Index scores. Yet past evidence from many low- and middle-income countries has shown that many children are not learning to read with comprehension in primary school. To understand the global picture better, we have worked with the UNESCO Institute for Statistics (UIS) to assemble a new dataset with the most comprehensive measures of this foundational skill yet developed, by linking together data from credible cross-national and national assessments of reading. This dataset covers 115 countries, accounting for 81% of children worldwide and 79% of children in low- and middle-income countries. The new data allow us to estimate the reading proficiency of late-primary-age children, and we also provide what are among the first estimates (and the most comprehensive, for low- and middle-income countries) of the historical rate of progress in improving reading proficiency globally (for the 2000-17 period). The results show that 53% of all children in low- and middle-income countries cannot read age-appropriate material by age 10, and that at current rates of improvement, this “learning poverty” rate will have fallen only to 43% by 2030. Indeed, we find that the goal of all children reading by 2030 will be attainable only with historically unprecedented progress. The high rate of “learning poverty” and slow progress in low- and middle-income countries is an early warning that all the ambitious SDG targets in education (and likely of social progress) are at risk. Based on this evidence, we suggest a new medium-term target to guide the World Bank’s work in low- and middle- income countries: cut learning poverty by at least half by 2030. This target, together with improved measurement of learning, can be as an evidence-based tool to accelerate progress to get all children reading by age 10.

    For further details, please refer to https://thedocs.worldbank.org/en/doc/e52f55322528903b27f1b7e61238e416-0200022022/original/Learning-poverty-report-2022-06-21-final-V7-0-conferenceEdition.pdf

  18. g

    Development Economics Data Group - Percentage of global population living in...

    • gimi9.com
    + more versions
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    Development Economics Data Group - Percentage of global population living in poverty (at $2.15/day) | gimi9.com [Dataset]. https://gimi9.com/dataset/worldbank_wb_csc_si_pov_dday/
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    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The underlying data are used to provide inputs for both the Vision indicator on the global population living in poverty as well as the Client Context indicator on the percentage of the population in FCV countries living in poverty. The Vision indicator measures the percentage of the population living on less than $2.15 a day in 2017 purchasing power parity (PPP) adjusted prices. Measures are based on internationally comparable poverty lines hold the real value of the poverty line constant across countries when making national and temporal comparisons. The current extreme poverty line ($2.15 a day, 2017 PPP) represents the median of the poverty lines found in low-income countries.

  19. a

    Employed population below international poverty line by sex and age...

    • hub.arcgis.com
    • global-fistula-hub-ucsf.hub.arcgis.com
    Updated Feb 3, 2021
    + more versions
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    Direct Relief (2021). Employed population below international poverty line by sex and age (percent) [Dataset]. https://hub.arcgis.com/datasets/dced3a1f900c4c99ba0f3dc7de86b869
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    Dataset updated
    Feb 3, 2021
    Dataset authored and provided by
    Direct Relief
    Area covered
    Description

    Series Name: Employed population below international poverty line by sex and age (percent)Series Code: SI_POV_EMP1Release Version: 2020.Q2.G.03This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 1.1.1: Proportion of the population living below the international poverty line by sex, age, employment status and geographic location (urban/rural)Target 1.1: By 2030, eradicate extreme poverty for all people everywhere, currently measured as people living on less than $1.25 a dayGoal 1: End poverty in all its forms everywhereFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

  20. International poverty rate in Ghana 2017-2022

    • statista.com
    Updated Oct 16, 2020
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    Statista (2020). International poverty rate in Ghana 2017-2022 [Dataset]. https://www.statista.com/statistics/1222084/international-poverty-rate-in-ghana/
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    Dataset updated
    Oct 16, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Ghana
    Description

    The international poverty rate in Ghana as of 2021 was forecast at 11.3 percent, considering the 2011 poverty line set at 1.90 U.S. dollars. The same rate was forecast for 2022, which represented a slight increase compared to 2019, when the poverty rate was measured at 11.1 percent. Overall, no significant change in the population’s percentage living on up to 1.90 U.S. dollars per day was expected in the years following 2019. The coronavirus (COVID-19) pandemic and its impact on economic activities have contributed to the slowly-improving poverty levels registered in the country since that year.

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Statista, Share of world population living in poverty 1990-2022 [Dataset]. https://www.statista.com/statistics/1341003/poverty-rate-world/
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Share of world population living in poverty 1990-2022

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Dataset authored and provided by
Statistahttp://statista.com/
Area covered
World
Description

Over the past 30 years, there has been an almost constant reduction in the poverty rate worldwide. Whereas nearly ** percent of the world's population lived on less than 2.15 U.S. dollars in terms of 2017 Purchasing Power Parity (PPP) in 1990, this had fallen to *** percent in 2022. This is even though the world's population was growing over the same period. However, there was a small increase in the poverty rate during the COVID-19 pandemic in 2020 and 2021, when thousands of people became unemployed overnight. Moreover, the rising cost of living in the aftermath of the pandemic and spurred by the Russian invasion of Ukraine in 2022 meant that many people were struggling to make ends meet. Poverty is a regional problem Poverty can be measured in relative and absolute terms. Absolute poverty concerns basic human needs such as food, clothing, shelter, and clean drinking water, whereas relative poverty looks at whether people in different countries can afford a certain living standard. Most countries that have a high percentage of their population living in absolute poverty, meaning that they are poor compared to international standards, are regionally concentrated. African countries are most represented among the countries in which poverty prevails the most. In terms of numbers, Sub-Saharan Africa and South Asia have the most people living in poverty worldwide. Inequality on the rise How wealth, or the lack thereof, is distributed within the global population and even within countries is very unequal. In 2022, the richest one percent of the world owned almost half of the global wealth, while the poorest 50 percent owned less than two percent in the same year. Within regions, Latin America had the most unequal distribution of wealth, but this phenomenon is present in all world regions.

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