32 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/
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    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. poverty rate of the top 25 most populated cities 2021

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). 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.

  3. 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.

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

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). U.S. family poverty rate of the top 25 most populated cities 2021 [Dataset]. https://www.statista.com/statistics/205648/percentage-of-poor-families-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, the city of Philadelphia in Pennsylvania had the highest family poverty rate of the 25 most populated cities in the United States. The city with the next highest poverty rate was Houston, Texas.

  6. Income per capita by country in South America 2023

    • statista.com
    Updated Sep 9, 2024
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    Statista (2024). Income per capita by country in South America 2023 [Dataset]. https://www.statista.com/statistics/913999/south-america-income-per-capita/
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    Dataset updated
    Sep 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Americas, South America, Latin America
    Description

    Guyana was the South American country 20360the highest gross national income per capita, with 20,360 U.S. dollars per person in 2023. Uruguay ranked second, registering a GNI of 19,530 U.S. dollars per person, based on current prices. Gross national income (GNI) is the aggregated sum of the value added by residents in an economy, plus net taxes (minus subsidies) and net receipts of primary income from abroad. Which are the largest Latin American economies? Based on annual gross domestic product, which is the total amount of goods and services produced in a country per year, Brazil leads the regional ranking, followed by Mexico, Argentina, and Chile. Many Caribbean countries and territories hold the highest GDP per capita in this region, measurement that reflects how GDP would be divided if it was perfectly equally distributed among the population. GNI per capita is, however, a more exact calculation of wealth than GDP per capita, as it takes into consideration taxes paid and income receipts from abroad. How much inequality is there in Latin America? In many Latin American countries, more than half the total wealth created in their economies is held by the richest 20 percent of the population. When a small share of the population concentrates most of the wealth, millions of people don't have enough to make ends meet. For instance, in Brazil, about 5.32 percent of the population lives on less than 3.2 U.S. dollars per day.

  7. 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.

  8. 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.

  9. 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.

  10. 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
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    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.

  11. U.S. number of people living below the poverty line in the most populated...

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). U.S. number of people living below the poverty line in the most populated cities 2021 [Dataset]. https://www.statista.com/statistics/205627/number-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, New York city had the highest number of people living below the poverty line, with 1.4 million people living in poverty. This is significantly higher than any of the other most populated cities.

  12. A

    Allegheny County Poor Housing Conditions

    • data.amerigeoss.org
    • data.wprdc.org
    • +2more
    csv, html, zip
    Updated Jul 30, 2019
    + more versions
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    United States[old] (2019). Allegheny County Poor Housing Conditions [Dataset]. https://data.amerigeoss.org/nl/dataset/allegheny-county-poor-housing-conditions
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    csv, html, zipAvailable download formats
    Dataset updated
    Jul 30, 2019
    Dataset provided by
    United States[old]
    Area covered
    Allegheny County
    Description

    This estimate of the percent of distressed housing units in each Census Tract was prepared using data from the American Community Survey and the Allegheny County Property Assessment database. The estimate was produced by the Reinvestment Fund in their work with the Allegheny County Department of Economic Development.

  13. o

    Data and Code for: The Effects of a Multifaceted Poverty-Alleviation Program...

    • openicpsr.org
    delimited
    Updated Apr 29, 2024
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    Rui Li; Hong Song; Jun Zhang; Junsen Zhang (2024). Data and Code for: The Effects of a Multifaceted Poverty-Alleviation Program on Rural Income and Household Behavior in China [Dataset]. http://doi.org/10.3886/E201661V1
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    delimitedAvailable download formats
    Dataset updated
    Apr 29, 2024
    Dataset provided by
    American Economic Association
    Authors
    Rui Li; Hong Song; Jun Zhang; Junsen Zhang
    License

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

    Time period covered
    2007 - 2020
    Area covered
    China
    Description

    This study examines the effects of a government-led, large-scale, multifaceted poverty-alleviation program on rural income in China. We find that the program has a positive impact on national key poor counties, with a 10.9% increase in rural income. This effect mainly arises via industrial support, agricultural development, and public service improvement. Poverty alleviation strategies that are consistent with local comparative advantages yield more significant effects. Household-level analyses suggest that the program changes households’ income and expenditure, and the effect are particularly substantial for the poorest households. The study provides novel insights and policy implications for China’s recent experience with poverty alleviation.

  14. H

    U.S. Current Population Survey 2011: Measuring Activity-Based Internet Use...

    • dataverse.harvard.edu
    Updated Dec 31, 2015
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    William W. Franko (2015). U.S. Current Population Survey 2011: Measuring Activity-Based Internet Use Inequality in U.S. Counties and Metropolitan Areas [Dataset]. http://doi.org/10.7910/DVN/MKACMK
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 31, 2015
    Dataset provided by
    Harvard Dataverse
    Authors
    William W. Franko
    License

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

    Area covered
    United States
    Description

    This dataset presents measures of activity-based technology inequality in the U.S. Using recent advances in public opinion estimation, these measures are created using the 2011 Current Population Survey (CPS) Computer and Internet Use supplement. They consist of several aggregate county-level and city-level estimates of online activities across the U.S. Activities online for jobs, government services, health, education, and other uses indicate potential benefits for individuals and communities. Additionally, the ability to engage in a greater number of activities online is in part a measure of capacity to use the Internet. Measures of disparities in online activities are used to assess the unequal structure of technology adoption and use. The dataset estimates each of the online activities for subsets of respondents according to four income categories, approximating income quartiles in 2011. While the average estimates of online skills provide a useful baseline, the income-based measures allow researchers to more carefully analyze who benefits from the current composition of digital technology use, across communities. Consider for example two counties where 40% of the public in both areas uses the Internet for communication. When observing the income breakdown of this particular online skill, the poor and rich residents in the first county use the Internet for communication at rates of 30% and 50%, respectively. Yet the income breakdown of the second county reveals that only 10% of poor residents use the Internet for communication and 70% of rich residents do the same. This simple illustration demonstrates how two areas can have similar rates of an online skill on average, but examining how different income groups participate in the same activity can help us understand the structure of technology use. Multilevel regression and poststratification (MRP) is used here as a measurement strategy that allows for the estimation of county and metro results using national survey data.

  15. 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/
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    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
    Latin America, World
    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.

  16. 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.

  17. Share of wealth held by the poorest 50 percent in low-income countries MENA...

    • statista.com
    Updated Jul 1, 2025
    + more versions
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    Statista (2025). Share of wealth held by the poorest 50 percent in low-income countries MENA 2000-2022 [Dataset]. https://www.statista.com/statistics/1550997/mena-wealth-share-of-the-poorest-half-in-low-income-countries/
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    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    MENA, Africa
    Description

    As of 2022, the share of national wealth held by the poorest ** percent in low-income countries in the Middle East and North Africa (MENA) decreased to *** percent of the total. In comparison, the share of wealth for the bottom half of the population in MENA low-income nations in 2000 was **** percent.

  18. 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.

  19. 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/
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    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.

  20. Countries with the highest wealth per adult 2023

    • statista.com
    Updated Jun 16, 2025
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    Statista (2025). Countries with the highest wealth per adult 2023 [Dataset]. https://www.statista.com/statistics/203941/countries-with-the-highest-wealth-per-adult/
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    Dataset updated
    Jun 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    World
    Description

    In 2023, Switzerland led the ranking of countries with the highest average wealth per adult, with approximately ******* U.S. dollars per person. Luxembourg was ranked second with an average wealth of around ******* U.S. dollars per adult, followed by Hong Kong SAR. However, the figures do not show the actual distribution of wealth. The Gini index shows wealth disparities in countries worldwide. Does wealth guarantee a longer life? As the old adage goes, “money can’t buy you happiness”, yet wealth and income are continuously correlated to the quality of life of individuals in different countries around the world. While greater levels of wealth may not guarantee a higher quality of life, it certainly increases an individual’s chances of having a longer one. Although they do not show the whole picture, life expectancy at birth is higher in the wealthier world regions. Does money bring happiness? A number of the world’s happiest nations also feature in the list of those countries for which average income was highest. Finland, however, which was the happiest country worldwide in 2022, is missing from the list of the top twenty countries with the highest wealth per adult. As such, the explanation for this may be the fact that the larger proportion of the population has access to a high income relative to global levels. Measures of quality of life Criticism of the use of income or wealth as a proxy for quality of life led to the creation of the United Nations’ Human Development Index. Although income is included within the index, it also has other factors taken into account, such as health and education. As such, the countries with the highest human development index can be correlated to those with the highest income levels. That said, none of the above measures seek to assess the physical and mental environmental impact of a high quality of life sourced through high incomes. The happy planet index demonstrates that the inclusion of experienced well-being and ecological footprint in place of income and other proxies for quality of life results in many of the world’s materially poorer nations being included in the happiest.

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

Persistent Poverty Counties

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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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