23 datasets found
  1. n

    Persistent Poverty Counties

    • linc.osbm.nc.gov
    csv, excel, geojson +1
    Updated Feb 4, 2022
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    (2022). Persistent Poverty Counties [Dataset]. https://linc.osbm.nc.gov/explore/dataset/saipe_nc_2020/
    Explore at:
    excel, csv, json, geojsonAvailable download formats
    Dataset updated
    Feb 4, 2022
    Description

    These data identify persistent poverty counties for 10|20|30 funding formulas. In these counties, at least 20% of the population had incomes below poverty in 1997, 2007, 2017, and 2020 as estimated by the Small Area Income & Poverty Estimates (SAIPE) from the US Census Bureau. These data also indicate how many times a county met this threshold for these 4 periods (from 0 to 4). In addition, these data include the total number of census tracts and tracts consisting of 20% or more of the population with incomes below poverty (considered "high poverty" tracts) based on the 2015-2019 American Community Survey estimates. The data also include the percent in poverty and the population in poverty for these four periods. Please note that LINC also includes historical data on poverty from the American Community Survey and the 2000 and before decennial census. These estimates may differ. In addition, the choice of different time periods may lead to different results regarding persistent poverty counties and numbers of high poverty census tracts.

  2. U.S. metropolitan areas 2023, by poverty rate

    • statista.com
    Updated Nov 27, 2024
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    Statista (2024). U.S. metropolitan areas 2023, by poverty rate [Dataset]. https://www.statista.com/statistics/432924/us-metropolitan-areas-with-the-highest-poverty-rate/
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    Dataset updated
    Nov 27, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    The McAllen-Edinburg-Mission metropolitan area in Texas was ranked first with 27.2 percent of its population living below the poverty level in 2023. Eagle Pass, Texas had the second-highest poverty rate, at 24.4 percent.

  3. U.S. poverty rate of the top 25 most populated cities 2021

    • statista.com
    Updated Jul 5, 2024
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    U.S. poverty rate of the top 25 most populated cities 2021 [Dataset]. https://www.statista.com/statistics/205637/percentage-of-poor-people-in-the-top-20-most-populated-cities-in-the-us/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    United States
    Description

    In 2021, Philadelphia, Pennsylvania was the city with the highest poverty rate of the United States' most populated cities. In this statistic, the cities are sorted by poverty rate, not population. The most populated city in 2021 according to the source was New York city - which had a poverty rate of 18 percent.

  4. U.S. poverty rate in the United States 2023, by race and ethnicity

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). U.S. poverty rate in the United States 2023, by race and ethnicity [Dataset]. https://www.statista.com/statistics/200476/us-poverty-rate-by-ethnic-group/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, **** percent of Black people living in the United States were living below the poverty line, compared to *** percent of white people. That year, the total poverty rate in the U.S. across all races and ethnicities was **** percent. Poverty in the United States Single people in the United States making less than ****** U.S. dollars a year and families of four making less than ****** U.S. dollars a year are considered to be below the poverty line. Women and children are more likely to suffer from poverty, due to women staying home more often than men to take care of children, and women suffering from the gender wage gap. Not only are women and children more likely to be affected, racial minorities are as well due to the discrimination they face. Poverty data Despite being one of the wealthiest nations in the world, the United States had the third highest poverty rate out of all OECD countries in 2019. However, the United States' poverty rate has been fluctuating since 1990, but has been decreasing since 2014. The average median household income in the U.S. has remained somewhat consistent since 1990, but has recently increased since 2014 until a slight decrease in 2020, potentially due to the pandemic. The state that had the highest number of people living below the poverty line in 2020 was California.

  5. Poverty rates in OECD countries 2022

    • statista.com
    • ai-chatbox.pro
    Updated Jul 8, 2025
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    Statista (2025). Poverty rates in OECD countries 2022 [Dataset]. https://www.statista.com/statistics/233910/poverty-rates-in-oecd-countries/
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    Dataset updated
    Jul 8, 2025
    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.

  6. c

    Poverty Status by Town - Datasets - CTData.org

    • data.ctdata.org
    Updated Mar 16, 2016
    + more versions
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    (2016). Poverty Status by Town - Datasets - CTData.org [Dataset]. http://data.ctdata.org/dataset/poverty-status-by-town
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    Dataset updated
    Mar 16, 2016
    License

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

    Description

    The Census Bureau determines that a person is living in poverty when his or her total household income compared with the size and composition of the household is below the poverty threshold. The Census Bureau uses the federal government's official definition of poverty to determine the poverty threshold. Beginning in 2000, individuals were presented with the option to select one or more races. In addition, the Census asked individuals to identify their race separately from identifying their Hispanic origin. The Census has published individual tables for the races and ethnicities provided as supplemental information to the main table that does not dissaggregate by race or ethnicity. Race categories include the following - White, Black or African American, American Indian or Alaska Native, Asian, Native Hawaiian or Other Pacific Islander, Some other race, and Two or more races. We are not including specific combinations of two or more races as the counts of these combinations are small. Ethnic categories include - Hispanic or Latino and White Non-Hispanic. This data comes from the American Community Survey (ACS) 5-Year estimates, table B17001. The ACS collects these data from a sample of households on a rolling monthly basis. ACS aggregates samples into one-, three-, or five-year periods. CTdata.org generally carries the five-year datasets, as they are considered to be the most accurate, especially for geographic areas that are the size of a county or smaller.Poverty status determined is the denominator for the poverty rate. It is the population for which poverty status was determined so when poverty is calculated they exclude institutionalized people, people in military group quarters, people in college dormitories, and unrelated individuals under 15 years of age.Below poverty level are households as determined by the thresholds based on the criteria of looking at household size, Below poverty level are households as determined by the thresholds based on the criteria of looking at household size, number of children, and age of householder.number of children, and age of householder.

  7. U.S. real per capita GDP 2023, by state

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). U.S. real per capita GDP 2023, by state [Dataset]. https://www.statista.com/statistics/248063/per-capita-us-real-gross-domestic-product-gdp-by-state/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    Out of all 50 states, New York had the highest per-capita real gross domestic product (GDP) in 2023, at 90,730 U.S. dollars, followed closely by Massachusetts. Mississippi had the lowest per-capita real GDP, at 39,102 U.S. dollars. While not a state, the District of Columbia had a per capita GDP of more than 214,000 U.S. dollars. What is real GDP? A country’s real GDP is a measure that shows the value of the goods and services produced by an economy and is adjusted for inflation. The real GDP of a country helps economists to see the health of a country’s economy and its standard of living. Downturns in GDP growth can indicate financial difficulties, such as the financial crisis of 2008 and 2009, when the U.S. GDP decreased by 2.5 percent. The COVID-19 pandemic had a significant impact on U.S. GDP, shrinking the economy 2.8 percent. The U.S. economy rebounded in 2021, however, growing by nearly six percent. Why real GDP per capita matters Real GDP per capita takes the GDP of a country, state, or metropolitan area and divides it by the number of people in that area. Some argue that per-capita GDP is more important than the GDP of a country, as it is a good indicator of whether or not the country’s population is getting wealthier, thus increasing the standard of living in that area. The best measure of standard of living when comparing across countries is thought to be GDP per capita at purchasing power parity (PPP) which uses the prices of specific goods to compare the absolute purchasing power of a countries currency.

  8. Countries with the lowest estimated GDP per capita 2024

    • statista.com
    • ai-chatbox.pro
    Updated May 28, 2025
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    Statista (2025). Countries with the lowest estimated GDP per capita 2024 [Dataset]. https://www.statista.com/statistics/256547/the-20-countries-with-the-lowest-gdp-per-capita/
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    Dataset updated
    May 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    19 of the 20 countries with the lowest estimated GDP per capita in the world in 2024 are located in Sub-Saharan Africa. South Sudan is believed to have a GDP per capita of just 351.02 U.S. dollars - for reference, Luxembourg has the highest GDP per capita in the world, at almost 130,000 U.S. dollars, which is around 400 times larger than that of Burundi (U.S. GDP per capita is over 250 times higher than Burundi's). Poverty in Sub-Saharan Africa Many parts of Sub-Saharan Africa have been among the most impoverished in the world for over a century, due to lacking nutritional and sanitation infrastructures, persistent conflict, and political instability. These issues are also being exacerbated by climate change, where African nations are some of the most vulnerable in the world, as well as the population boom that will place over the 21st century. Of course, the entire population of Sub-Saharan Africa does not live in poverty, and countries in the southern part of the continent, as well as oil-producing states around the Gulf of Guinea, do have some pockets of significant wealth (especially in urban areas). However, while GDP per capita may be higher in these countries, wealth distribution is often very skewed, and GDP per capita figures are not representative of average living standards across the population. Outside of Africa Yemen is the only country outside of Africa to feature on the list, due to decades of civil war and instability. Yemen lags very far behind some of its neighboring Arab states, some of whom rank among the richest in the world due to their much larger energy sectors. Additionally, the IMF does not make estimates for Afghanistan, which would also likely feature on this list.

  9. Countries with the highest poverty gaps worldwide at 3.65 U.S. dollars a day...

    • statista.com
    • ai-chatbox.pro
    Updated Jul 10, 2025
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    Statista (2025). Countries with the highest poverty gaps worldwide at 3.65 U.S. dollars a day 2022 [Dataset]. https://www.statista.com/statistics/1341061/countries-highest-poverty-gap-world/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    All the ** countries with the highest poverty gaps worldwide at **** U.S. dollars a day in 2017 Purchasing Power Parities were located in Africa. Democratic Republic of Congo had the most severe poverty levels at ** percent. Moreover, most of the countries with the highest poverty gaps are also the countries with the highest poverty rates in the world. Whereas the poverty rate only measures the share of the population living below the poverty line, the poverty gap measures the severity of the poverty.

  10. T

    United States - Gross Domestic Product for Heavily Indebted Poor Countries

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 1, 2020
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    TRADING ECONOMICS (2020). United States - Gross Domestic Product for Heavily Indebted Poor Countries [Dataset]. https://tradingeconomics.com/united-states/gross-domestic-product-for-heavily-indebted-poor-countries-fed-data.html
    Explore at:
    xml, csv, json, excelAvailable download formats
    Dataset updated
    Mar 1, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    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, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Gross Domestic Product for Heavily Indebted Poor Countries was 1129946910802.31008 Current $ in January of 2023, according to the United States Federal Reserve. Historically, United States - Gross Domestic Product for Heavily Indebted Poor Countries reached a record high of 1129946910802.31008 in January of 2023 and a record low of 17413068781.30680 in January of 1960. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Gross Domestic Product for Heavily Indebted Poor Countries - last updated from the United States Federal Reserve on June of 2025.

  11. T

    United States - Population Ages 0 to 14 for Heavily Indebted Poor Countries

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 10, 2020
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    TRADING ECONOMICS (2020). United States - Population Ages 0 to 14 for Heavily Indebted Poor Countries [Dataset]. https://tradingeconomics.com/united-states/population-ages-0-to-14-for-heavily-indebted-poor-countries-fed-data.html
    Explore at:
    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Mar 10, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    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, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Population Ages 0 to 14 for Heavily Indebted Poor Countries was 41.77951 % of Total in January of 2023, according to the United States Federal Reserve. Historically, United States - Population Ages 0 to 14 for Heavily Indebted Poor Countries reached a record high of 45.98815 in January of 1988 and a record low of 41.77951 in January of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Population Ages 0 to 14 for Heavily Indebted Poor Countries - last updated from the United States Federal Reserve on June of 2025.

  12. Child poverty in OECD countries 2022

    • statista.com
    Updated May 30, 2025
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    Statista (2025). Child poverty in OECD countries 2022 [Dataset]. https://www.statista.com/statistics/264424/child-poverty-in-oecd-countries/
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    Dataset updated
    May 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Among the OECD countries, Costa Rica had the highest share of children living in poverty, reaching 28.5 percent in 2022. Türkiye followed with a share of 22 percent of children living in poverty, while 20.5 percent of children in Spain, Chile, and the United States did the same. On the other hand, only three percent of children in Finland were living in poverty.

  13. G

    Poverty ratio in Latin America | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Feb 12, 2021
    + more versions
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    Globalen LLC (2021). Poverty ratio in Latin America | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/poverty_ratio/Latin-Am/
    Explore at:
    excel, xml, csvAvailable download formats
    Dataset updated
    Feb 12, 2021
    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, Latin America
    Description

    The average for 2020 based on 10 countries was 30.53 percent. The highest value was in Mexico: 43.9 percent and the lowest value was in Chile: 10.8 percent. The indicator is available from 2000 to 2023. Below is a chart for all countries where data are available.

  14. T

    United States - Population Growth for Heavily Indebted Poor Countries

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 10, 2020
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    United States - Population Growth for Heavily Indebted Poor Countries [Dataset]. https://tradingeconomics.com/united-states/population-growth-for-heavily-indebted-poor-countries-fed-data.html
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Mar 10, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    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, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Population Growth for Heavily Indebted Poor Countries was 2.61750 % Chg. at Annual Rate in January of 2023, according to the United States Federal Reserve. Historically, United States - Population Growth for Heavily Indebted Poor Countries reached a record high of 3.09773 in January of 1993 and a record low of 2.33373 in January of 1960. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Population Growth for Heavily Indebted Poor Countries - last updated from the United States Federal Reserve on July of 2025.

  15. Low Poverty Index

    • hudgis-hud.opendata.arcgis.com
    • data.lojic.org
    • +2more
    Updated Jul 5, 2023
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    Department of Housing and Urban Development (2023). Low Poverty Index [Dataset]. https://hudgis-hud.opendata.arcgis.com/maps/HUD::low-poverty-index
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    Dataset updated
    Jul 5, 2023
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Authors
    Department of Housing and Urban Development
    Area covered
    Description

    LOW POVERTY INDEXSummary The low poverty index captures poverty in a given neighborhood. The index is based on the poverty rate (pv). The mean and standard error are estimated over the national distribution.The poverty rate is determined at the census tract level.InterpretationValues are inverted and percentile ranked nationally. The resulting values range from 0 to 100. The higher the score, the less exposure to poverty in a neighborhood.

    Data Source: American Community Survey, 2011-2015. Related AFFH-T Local Government, PHA and State Tables/Maps: Table 12; Map 12. School Proficiency Index.

    To learn more about the Low Poverty Index visit: https://www.hud.gov/program_offices/fair_housing_equal_opp/affh ; https://www.hud.gov/sites/dfiles/FHEO/documents/AFFH-T-Data-Documentation-AFFHT0006-July-2020.pdf, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Date of Coverage: 07/2020

  16. Percentage of people living in poverty in Latin American countries 2023, by...

    • statista.com
    Updated May 8, 2025
    + more versions
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    Statista (2025). Percentage of people living in poverty in Latin American countries 2023, by ethnicity [Dataset]. https://www.statista.com/statistics/1289433/share-population-living-poverty-by-ethnicity-latin-american-countries/
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    Dataset updated
    May 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    LAC, Latin America
    Description

    Among Latin American countries in 2023, Colombia had the highest share of both Afro-descendants and indigenous people living impoverished, with 45.6 percent and 63.5 percent, respectively. Additionally, Colombia also had the highest share of indigenous people living under extreme poverty that year. Ecuador had the second-highest share of indigenous population whose average per capita income was below the poverty line, with 50.4 percent. Uruguay was the only nation where Afro-descendants were the ethnic group with the largest share of the poor population, as in the other selected countries such group was indigenous people.

  17. Latin America: poverty headcount ratio at 3.20 U.S. dollars a day 2022

    • statista.com
    Updated Dec 2, 2024
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    Statista (2024). Latin America: poverty headcount ratio at 3.20 U.S. dollars a day 2022 [Dataset]. https://www.statista.com/statistics/1287649/poverty-rate-latin-america/
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    Dataset updated
    Dec 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Latin America, LAC
    Description

    Honduras was the country in Latin America with the highest share of population living on less than 3.20 U.S. dollars per day. The Central American nation had 26.4 percent of its population living on less than 3.20 U.S. dollars a day, while Colombia came second highest with 14 percent. On the other hand, Uruguay had only 0.8 percent of poverty headcount ratio, featured as the lowest share in the region.

  18. T

    United States - Population, Total for Heavily Indebted Poor Countries

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 10, 2020
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    TRADING ECONOMICS (2020). United States - Population, Total for Heavily Indebted Poor Countries [Dataset]. https://tradingeconomics.com/united-states/population-total-for-heavily-indebted-poor-countries-fed-data.html
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Mar 10, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    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, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Population, Total for Heavily Indebted Poor Countries was 917304254.00000 Persons in January of 2023, according to the United States Federal Reserve. Historically, United States - Population, Total for Heavily Indebted Poor Countries reached a record high of 917304254.00000 in January of 2023 and a record low of 161734348.00000 in January of 1960. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Population, Total for Heavily Indebted Poor Countries - last updated from the United States Federal Reserve on July of 2025.

  19. T

    United States - Gross National Income for Heavily Indebted Poor Countries

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 8, 2020
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    TRADING ECONOMICS (2020). United States - Gross National Income for Heavily Indebted Poor Countries [Dataset]. https://tradingeconomics.com/united-states/gross-national-income-for-heavily-indebted-poor-countries-fed-data.html
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Mar 8, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    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, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Gross National Income for Heavily Indebted Poor Countries was 1096642572912.05000 Current $ in January of 2023, according to the United States Federal Reserve. Historically, United States - Gross National Income for Heavily Indebted Poor Countries reached a record high of 1096642572912.05000 in January of 2023 and a record low of 23527111104.68150 in January of 1967. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Gross National Income for Heavily Indebted Poor Countries - last updated from the United States Federal Reserve on July of 2025.

  20. G

    GDP per capita, PPP by country, around the world | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jan 6, 2015
    + more versions
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    Globalen LLC (2015). GDP per capita, PPP by country, around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/gdp_per_capita_ppp/
    Explore at:
    csv, excel, xmlAvailable download formats
    Dataset updated
    Jan 6, 2015
    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, 1990 - Dec 31, 2023
    Area covered
    World
    Description

    The average for 2023 based on 183 countries was 26826 U.S. dollars. The highest value was in Luxembourg: 130491 U.S. dollars and the lowest value was in Burundi: 829 U.S. dollars. The indicator is available from 1990 to 2023. Below is a chart for all countries where data are available.

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(2022). Persistent Poverty Counties [Dataset]. https://linc.osbm.nc.gov/explore/dataset/saipe_nc_2020/

Persistent Poverty Counties

Explore at:
excel, csv, json, geojsonAvailable download formats
Dataset updated
Feb 4, 2022
Description

These data identify persistent poverty counties for 10|20|30 funding formulas. In these counties, at least 20% of the population had incomes below poverty in 1997, 2007, 2017, and 2020 as estimated by the Small Area Income & Poverty Estimates (SAIPE) from the US Census Bureau. These data also indicate how many times a county met this threshold for these 4 periods (from 0 to 4). In addition, these data include the total number of census tracts and tracts consisting of 20% or more of the population with incomes below poverty (considered "high poverty" tracts) based on the 2015-2019 American Community Survey estimates. The data also include the percent in poverty and the population in poverty for these four periods. Please note that LINC also includes historical data on poverty from the American Community Survey and the 2000 and before decennial census. These estimates may differ. In addition, the choice of different time periods may lead to different results regarding persistent poverty counties and numbers of high poverty census tracts.

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