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

    • statista.com
    Updated Jan 23, 2025
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    Statista (2025). Share of world population living in poverty 1990-2022 [Dataset]. https://www.statista.com/statistics/1341003/poverty-rate-world/
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    Dataset updated
    Jan 23, 2025
    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 38 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 8.7 percent in 2022. This is despite the fact that 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, 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 1981-2025

    • macrotrends.net
    csv
    Updated Feb 28, 2025
    + more versions
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    MACROTRENDS (2025). World Poverty Rate 1981-2025 [Dataset]. https://www.macrotrends.net/global-metrics/countries/wld/world/poverty-rate
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    csvAvailable download formats
    Dataset updated
    Feb 28, 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
    Dec 31, 1981 - Mar 12, 2025
    Area covered
    World
    Description

    Poverty headcount ratio at $5.50 a day is the percentage of the population living on less than $5.50 a day at 2011 international prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.

  3. d

    Global Subnational Atlas of Poverty

    • dataone.org
    • dataverse.harvard.edu
    Updated Nov 8, 2023
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    Hai-Anh H. Dang; Minh Cong Nguyen; Trong-Anh Trinh (2023). Global Subnational Atlas of Poverty [Dataset]. https://dataone.org/datasets/sha256%3A863db5dfe34c2bdae73e4f6337777e7541698a056428c5efbd4c7ac7de164b50
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    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Hai-Anh H. Dang; Minh Cong Nguyen; Trong-Anh Trinh
    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

  4. Poverty rates in OECD countries 2022

    • statista.com
    • flwrdeptvarieties.store
    Updated Oct 9, 2024
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    Statista (2024). Poverty rates in OECD countries 2022 [Dataset]. https://www.statista.com/statistics/233910/poverty-rates-in-oecd-countries/
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    Dataset updated
    Oct 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Out of all OECD countries, Cost Rica had the highest poverty rate as of 2022, at over 20 percent. The country with the second highest poverty rate was the United States, with 18 percent. On the other end of the scale, Czechia had the lowest poverty rate at 6.4 percent, followed by Denmark.

    The significance of the OECD

    The OECD, or the Organisation for Economic Co-operation and Development, was founded in 1948 and is made up of 38 member countries. It seeks to improve the economic and social well-being of countries and their populations. The OECD looks at issues that impact people’s everyday lives and proposes policies that can help to improve the quality of life.

    Poverty in the United States

    In 2022, there were nearly 38 million people living below the poverty line in the U.S.. About one fourth of the Native American population lived in poverty in 2022, the most out of any ethnicity. In addition, the rate was higher among young women than young men. It is clear that poverty in the United States is a complex, multi-faceted issue that affects millions of people and is even more complex to solve.

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

    • statista.com
    Updated Mar 18, 2025
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    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
    Mar 18, 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.

  6. Gender poverty gaps worldwide 2020-2021 (with a forecast to 2030), by gender...

    • statista.com
    Updated Jan 23, 2025
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    Statista (2025). Gender poverty gaps worldwide 2020-2021 (with a forecast to 2030), by gender [Dataset]. https://www.statista.com/statistics/1219896/gender-poverty-gaps-worldwide-by-gender/
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    Dataset updated
    Jan 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    Worldwide
    Description

    According to a survey from 2020, the coronavirus (COVID-19) crisis will increase female poverty worldwide. Globally, 247 million women aged 15 years and older will be living on less than 1.90 U.S. dollars per day in 2021, compared to 236 million men. The gender poverty gap is expected to increase by 2030 as women will still be the majority of the world's extreme poor.

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

    • statista.com
    Updated Feb 3, 2025
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    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
    Feb 3, 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.

  8. Brazil - Poverty

    • data.humdata.org
    csv
    Updated Feb 27, 2025
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    World Bank Group (2025). Brazil - Poverty [Dataset]. https://data.humdata.org/dataset/world-bank-poverty-indicators-for-brazil
    Explore at:
    csv(1432), csv(109806)Available download formats
    Dataset updated
    Feb 27, 2025
    Dataset provided by
    World Bankhttp://worldbank.org/
    License

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

    Description

    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

    For countries with an active poverty monitoring program, the World Bank—in collaboration with national institutions, other development agencies, and civil society—regularly conducts analytical work to assess the extent and causes of poverty and inequality, examine the impact of growth and public policy, and review household survey data and measurement methods. Data here includes poverty and inequality measures generated from analytical reports, from national poverty monitoring programs, and from the World Bank’s Development Research Group which has been producing internationally comparable and global poverty estimates and lines since 1990.

  9. J

    Jordan JO: Poverty Gap at National Poverty Lines: %

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Jordan JO: Poverty Gap at National Poverty Lines: % [Dataset]. https://www.ceicdata.com/en/jordan/poverty/jo-poverty-gap-at-national-poverty-lines-
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    Dataset updated
    Jan 15, 2025
    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, 2008 - Dec 1, 2010
    Area covered
    Jordan
    Description

    Jordan JO: Poverty Gap at National Poverty Lines: % data was reported at 3.600 % in 2010. This records an increase from the previous number of 2.600 % for 2008. Jordan JO: Poverty Gap at National Poverty Lines: % data is updated yearly, averaging 3.100 % from Dec 2008 (Median) to 2010, with 2 observations. The data reached an all-time high of 3.600 % in 2010 and a record low of 2.600 % in 2008. Jordan JO: Poverty Gap at National Poverty Lines: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Jordan – Table JO.World Bank: Poverty. Poverty gap at national poverty lines is the mean shortfall from the poverty lines (counting the nonpoor as having zero shortfall) as a percentage of the poverty lines. This measure reflects the depth of poverty as well as its incidence.; ; 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. A

    Argentina Poverty Line: Total Basic Basket

    • ceicdata.com
    Updated Dec 15, 2020
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    CEICdata.com, Argentina Poverty Line: Total Basic Basket [Dataset]. https://www.ceicdata.com/en/argentina/indigence-and-poverty-lines-national-statistics--census-institute/poverty-line-total-basic-basket
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    Dataset updated
    Dec 15, 2020
    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
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    Argentina
    Description

    Argentina Poverty Line: Total Basic Basket data was reported at 334,535.800 USD in Jan 2025. This records an increase from the previous number of 331,532.430 USD for Dec 2024. Argentina Poverty Line: Total Basic Basket data is updated monthly, averaging 14,998.970 USD from Apr 2016 (Median) to Jan 2025, with 106 observations. The data reached an all-time high of 334,535.800 USD in Jan 2025 and a record low of 3,663.660 USD in Apr 2016. Argentina Poverty Line: Total Basic Basket data remains active status in CEIC and is reported by National Institute of Statistics and Censuses. The data is categorized under Global Database’s Argentina – Table AR.G011: Indigence and Poverty Lines: National Statistics & Census Institute.

  11. Netherlands - Poverty

    • data.humdata.org
    csv
    Updated Feb 27, 2025
    + more versions
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    World Bank Group (2025). Netherlands - Poverty [Dataset]. https://data.humdata.org/dataset/world-bank-poverty-indicators-for-netherlands
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    csv(1855), csv(35083)Available download formats
    Dataset updated
    Feb 27, 2025
    Dataset provided by
    World Bankhttp://worldbank.org/
    License

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

    Area covered
    Netherlands
    Description

    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

    For countries with an active poverty monitoring program, the World Bank—in collaboration with national institutions, other development agencies, and civil society—regularly conducts analytical work to assess the extent and causes of poverty and inequality, examine the impact of growth and public policy, and review household survey data and measurement methods. Data here includes poverty and inequality measures generated from analytical reports, from national poverty monitoring programs, and from the World Bank’s Development Research Group which has been producing internationally comparable and global poverty estimates and lines since 1990.

  12. Tanzania - Poverty

    • data.humdata.org
    csv
    Updated Feb 27, 2025
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    World Bank Group (2025). Tanzania - Poverty [Dataset]. https://data.humdata.org/dataset/world-bank-poverty-indicators-for-tanzania
    Explore at:
    csv(472), csv(8320)Available download formats
    Dataset updated
    Feb 27, 2025
    Dataset provided by
    World Bankhttp://worldbank.org/
    License

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

    Area covered
    Tanzania
    Description

    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

    For countries with an active poverty monitoring program, the World Bank—in collaboration with national institutions, other development agencies, and civil society—regularly conducts analytical work to assess the extent and causes of poverty and inequality, examine the impact of growth and public policy, and review household survey data and measurement methods. Data here includes poverty and inequality measures generated from analytical reports, from national poverty monitoring programs, and from the World Bank’s Development Research Group which has been producing internationally comparable and global poverty estimates and lines since 1990.

  13. Venezuela VE: Poverty Headcount Ratio at National Poverty Lines: % of...

    • ceicdata.com
    Updated Aug 16, 2018
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    CEICdata.com (2018). Venezuela VE: Poverty Headcount Ratio at National Poverty Lines: % of Population [Dataset]. https://www.ceicdata.com/en/venezuela/poverty
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    Dataset updated
    Aug 16, 2018
    Dataset provided by
    CEIC Data
    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, 2004 - Dec 1, 2015
    Area covered
    Venezuela
    Description

    VE: Poverty Headcount Ratio at National Poverty Lines: % of Population data was reported at 33.100 % in 2015. This records an increase from the previous number of 29.500 % for 2014. VE: Poverty Headcount Ratio at National Poverty Lines: % of Population data is updated yearly, averaging 33.100 % from Dec 1997 (Median) to 2015, with 19 observations. The data reached an all-time high of 55.600 % in 1997 and a record low of 26.400 % in 2009. VE: 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 Venezuela – Table VE.World Bank.WDI: 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.

  14. Indicator 1.1.1: Proportion of population below international poverty line...

    • ttmay-sdgs.hub.arcgis.com
    • sdgs.amerigeoss.org
    • +5more
    Updated Sep 9, 2021
    + more versions
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    UN DESA Statistics Division (2021). Indicator 1.1.1: Proportion of population below international poverty line (percent) [Dataset]. https://ttmay-sdgs.hub.arcgis.com/datasets/undesa::indicator-1-1-1-proportion-of-population-below-international-poverty-line-percent
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    Dataset updated
    Sep 9, 2021
    Dataset provided by
    United Nations Department of Economic and Social Affairshttps://www.un.org/en/desa
    Authors
    UN DESA Statistics Division
    Area covered
    Pacific Ocean, North Pacific Ocean
    Description

    Series Name: Proportion of population below international poverty line (percent)Series Code: SI_POV_DAY1Release Version: 2021.Q2.G.03 This 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/

  15. I

    Indonesia Average Monthly Poverty Line per Capita: Central Kalimantan: West...

    • ceicdata.com
    Updated Aug 16, 2019
    + more versions
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    Indonesia Average Monthly Poverty Line per Capita: Central Kalimantan: West Kotawaringin Regency [Dataset]. https://www.ceicdata.com/en/indonesia/poverty-line-by-regency
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    Dataset updated
    Aug 16, 2019
    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, 2007 - Dec 1, 2018
    Area covered
    Indonesia
    Description

    Average Monthly Poverty Line per Capita: Central Kalimantan: West Kotawaringin Regency data was reported at 344,337.000 IDR in 2018. This records an increase from the previous number of 338,230.000 IDR for 2017. Average Monthly Poverty Line per Capita: Central Kalimantan: West Kotawaringin Regency data is updated yearly, averaging 258,694.500 IDR from Dec 2005 (Median) to 2018, with 14 observations. The data reached an all-time high of 344,337.000 IDR in 2018 and a record low of 152,316.000 IDR in 2005. Average Monthly Poverty Line per Capita: Central Kalimantan: West Kotawaringin Regency data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Indonesia Premium Database’s Socio and Demographic – Table ID.GAE015: Poverty Line: by Regency.

  16. C

    Chile Poverty Statistics: Bio Bio

    • ceicdata.com
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    CEICdata.com, Chile Poverty Statistics: Bio Bio [Dataset]. https://www.ceicdata.com/en/chile/national-socioeconomic-characterization-survey-poverty-situation/poverty-statistics-bio-bio
    Explore at:
    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, 1992 - Dec 1, 2017
    Area covered
    Chile
    Description

    Chile Poverty Statistics: Bio Bio data was reported at 200,094.000 Person in 2017. This records a decrease from the previous number of 362,632.000 Person for 2015. Chile Poverty Statistics: Bio Bio data is updated yearly, averaging 618,746.000 Person from Dec 1990 (Median) to 2017, with 13 observations. The data reached an all-time high of 804,763.000 Person in 2006 and a record low of 200,094.000 Person in 2017. Chile Poverty Statistics: Bio Bio data remains active status in CEIC and is reported by Ministry of Social Development. The data is categorized under Global Database’s Chile – Table CL.H020: National Socio-Economic Characterization Survey: Poverty Situation.

  17. Eswatini - Poverty

    • data.humdata.org
    csv
    Updated Feb 27, 2025
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    World Bank Group (2025). Eswatini - Poverty [Dataset]. https://data.humdata.org/dataset/world-bank-poverty-indicators-for-eswatini
    Explore at:
    csv(7115), csv(427)Available download formats
    Dataset updated
    Feb 27, 2025
    Dataset provided by
    World Bankhttp://worldbank.org/
    License

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

    Area covered
    Eswatini
    Description

    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

    For countries with an active poverty monitoring program, the World Bank—in collaboration with national institutions, other development agencies, and civil society—regularly conducts analytical work to assess the extent and causes of poverty and inequality, examine the impact of growth and public policy, and review household survey data and measurement methods. Data here includes poverty and inequality measures generated from analytical reports, from national poverty monitoring programs, and from the World Bank’s Development Research Group which has been producing internationally comparable and global poverty estimates and lines since 1990.

  18. Georgia - Poverty

    • data.humdata.org
    csv
    Updated Feb 27, 2025
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    World Bank Group (2025). Georgia - Poverty [Dataset]. https://data.humdata.org/dataset/world-bank-poverty-indicators-for-georgia
    Explore at:
    csv(35535), csv(2232)Available download formats
    Dataset updated
    Feb 27, 2025
    Dataset provided by
    World Bankhttp://worldbank.org/
    License

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

    Description

    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

    For countries with an active poverty monitoring program, the World Bank—in collaboration with national institutions, other development agencies, and civil society—regularly conducts analytical work to assess the extent and causes of poverty and inequality, examine the impact of growth and public policy, and review household survey data and measurement methods. Data here includes poverty and inequality measures generated from analytical reports, from national poverty monitoring programs, and from the World Bank’s Development Research Group which has been producing internationally comparable and global poverty estimates and lines since 1990.

  19. M

    Mauritania Poverty Rate 1987-2025

    • macrotrends.net
    csv
    Updated Feb 28, 2025
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    MACROTRENDS (2025). Mauritania Poverty Rate 1987-2025 [Dataset]. https://www.macrotrends.net/global-metrics/countries/MRT/mauritania/poverty-rate
    Explore at:
    csvAvailable download formats
    Dataset updated
    Feb 28, 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
    Dec 31, 1987 - Mar 18, 2025
    Area covered
    Mauritania
    Description

    Poverty headcount ratio at $5.50 a day is the percentage of the population living on less than $5.50 a day at 2011 international prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.

  20. Colombia - Poverty

    • data.humdata.org
    csv
    Updated Feb 27, 2025
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    World Bank Group (2025). Colombia - Poverty [Dataset]. https://data.humdata.org/dataset/world-bank-poverty-indicators-for-colombia
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    csv(108976), csv(1432)Available download formats
    Dataset updated
    Feb 27, 2025
    Dataset provided by
    World Bankhttp://worldbank.org/
    License

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

    Description

    Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

    For countries with an active poverty monitoring program, the World Bank—in collaboration with national institutions, other development agencies, and civil society—regularly conducts analytical work to assess the extent and causes of poverty and inequality, examine the impact of growth and public policy, and review household survey data and measurement methods. Data here includes poverty and inequality measures generated from analytical reports, from national poverty monitoring programs, and from the World Bank’s Development Research Group which has been producing internationally comparable and global poverty estimates and lines since 1990.

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Statista (2025). 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 updated
Jan 23, 2025
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 38 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 8.7 percent in 2022. This is despite the fact that 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, 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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