In 2022, some two-thirds of health center patients had income that were equivalent of 100 percent federal poverty level or below. That means most of health center patients are predominantly low income. This statistic depicts the economic status of health center patients in the U.S. in 2022, by income (federal poverty level - FPL).

This poverty rate data shows what percentage of the measured population* falls below the poverty line. Poverty is closely related to income: different “poverty thresholds” are in place for different sizes and types of household. A family or individual is considered to be below the poverty line if that family or individual’s income falls below their relevant poverty threshold. For more information on how poverty is measured by the U.S. Census Bureau (the source for this indicator’s data), visit the U.S. Census Bureau’s poverty webpage.

The poverty rate is an important piece of information when evaluating an area’s economic health and well-being. The poverty rate can also be illustrative when considered in the contexts of other indicators and categories. As a piece of data, it is too important and too useful to omit from any indicator set.

The poverty rate for all individuals in the measured population in Champaign County has hovered around roughly 20% since 2005. However, it reached its lowest rate in 2021 at 14.9%, and its second lowest rate in 2023 at 16.3%. Although the American Community Survey (ACS) data shows fluctuations between years, given their margins of error, none of the differences between consecutive years’ estimates are statistically significant, making it impossible to identify a trend.

Poverty rate data was sourced from the U.S. Census Bureau’s American Community Survey 1-Year Estimates, which are released annually.

As with any datasets that are estimates rather than exact counts, it is important to take into account the margins of error (listed in the column beside each figure) when drawing conclusions from the data.

Due to the impact of the COVID-19 pandemic, instead of providing the standard 1-year data products, the Census Bureau released experimental estimates from the 1-year data in 2020. This includes a limited number of data tables for the nation, states, and the District of Columbia. The Census Bureau states that the 2020 ACS 1-year experimental tables use an experimental estimation methodology and should not be compared with other ACS data. For these reasons, and because data is not available for Champaign County, no data for 2020 is included in this Indicator.

For interested data users, the 2020 ACS 1-Year Experimental data release includes a dataset on Poverty Status in the Past 12 Months by Age.

*According to the U.S. Census Bureau document “How Poverty is Calculated in the ACS," poverty status is calculated for everyone but those in the following groups: “people living in institutional group quarters (such as prisons or nursing homes), people in military barracks, people in college dormitories, living situations without conventional housing, and unrelated individuals under 15 years old."

Sources: U.S. Census Bureau; American Community Survey, 2023 American Community Survey 1-Year Estimates, Table S1701; generated by CCRPC staff; using data.census.gov; (17 October 2024).; U.S. Census Bureau; American Community Survey, 2022 American Community Survey 1-Year Estimates, Table S1701; generated by CCRPC staff; using data.census.gov; (25 September 2023).; U.S. Census Bureau; American Community Survey, 2021 American Community Survey 1-Year Estimates, Table S1701; generated by CCRPC staff; using data.census.gov; (16 September 2022).; U.S. Census Bureau; American Community Survey, 2019 American Community Survey 1-Year Estimates, Table S1701; generated by CCRPC staff; using data.census.gov; (8 June 2021).; U.S. Census Bureau; American Community Survey, 2018 American Community Survey 1-Year Estimates, Table S1701; generated by CCRPC staff; using data.census.gov; (8 June 2021).; U.S. Census Bureau; American Community Survey, 2017 American Community Survey 1-Year Estimates, Table S1701; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2016 American Community Survey 1-Year Estimates, Table S1701; generated by CCRPC staff; using American FactFinder; (14 September 2017).; U.S. Census Bureau; American Community Survey, 2015 American Community Survey 1-Year Estimates, Table S1701; generated by CCRPC staff; using American FactFinder; (19 September 2016).; U.S. Census Bureau; American Community Survey, 2014 American Community Survey 1-Year Estimates, Table S1701; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2013 American Community Survey 1-Year Estimates, Table S1701; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2012 American Community Survey 1-Year Estimates, Table S1701; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2011 American Community Survey 1-Year Estimates, Table S1701; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2010 American Community Survey 1-Year Estimates, Table S1701; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2009 American Community Survey 1-Year Estimates, Table S1701; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2008 American Community Survey 1-Year Estimates, Table S1701; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2007 American Community Survey 1-Year Estimates, Table S1701; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2006 American Community Survey 1-Year Estimates, Table S1701; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2005 American Community Survey 1-Year Estimates, Table S1701; generated by CCRPC staff; using American FactFinder; (16 March 2016).

VITAL SIGNS INDICATOR
Poverty (EQ5)

FULL MEASURE NAME
The share of the population living in households that earn less than 200 percent of the federal poverty limit

LAST UPDATED
January 2023

DESCRIPTION
Poverty refers to the share of the population living in households that earn less than 200 percent of the federal poverty limit, which varies based on the number of individuals in a given household. It reflects the number of individuals who are economically struggling due to low household income levels.

DATA SOURCE
U.S Census Bureau: Decennial Census - http://www.nhgis.org
1980-2000

U.S. Census Bureau: American Community Survey - https://data.census.gov/
2007-2021
Form C17002

CONTACT INFORMATION
vitalsigns.info@mtc.ca.gov

METHODOLOGY NOTES (across all datasets for this indicator)
The U.S. Census Bureau defines a national poverty level (or household income) that varies by household size, number of children in a household, and age of householder. The national poverty level does not vary geographically even though cost of living is different across the United States. For the Bay Area, where cost of living is high and incomes are correspondingly high, an appropriate poverty level is 200% of poverty or twice the national poverty level, consistent with what was used for past equity work at MTC and ABAG. For comparison, however, both the national and 200% poverty levels are presented.

For Vital Signs, the poverty rate is defined as the number of people (including children) living below twice the poverty level divided by the number of people for whom poverty status is determined. The household income definitions for poverty change each year to reflect inflation. The official poverty definition uses money income before taxes and does not include capital gains or non-cash benefits (such as public housing, Medicaid and food stamps).

For the national poverty level definitions by year, see: US Census Bureau Poverty Thresholds - https://www.census.gov/data/tables/time-series/demo/income-poverty/historical-poverty-thresholds.html.

For an explanation on how the Census Bureau measures poverty, see: How the Census Bureau Measures Poverty - https://www.census.gov/topics/income-poverty/poverty/guidance/poverty-measures.html.

American Community Survey (ACS) 1-year data is used for larger geographies – Bay counties and most metropolitan area counties – while smaller geographies rely upon 5-year rolling average data due to their smaller sample sizes. Note that 2020 data uses the 5-year estimates because the ACS did not collect 1-year data for 2020.

To be consistent across metropolitan areas, the poverty definition for non-Bay Area metros is twice the national poverty level. Data were not adjusted for varying income and cost of living levels across the metropolitan areas.

In 2024, **** percent of Black people living in the United States were living below the poverty line, compared to *** percent of white people. That year, the overall poverty rate in the U.S. across all races and ethnicities was **** percent. Poverty in the United States The poverty threshold for a single person in the United States was measured at an annual income of ****** U.S. dollars in 2023. Among families of four, the poverty line increases to ****** U.S. dollars a year. Women and children are more likely to suffer from poverty. This is due to the fact that women are more likely than men to stay at home, to care for children. Furthermore, the gender-based wage gap impacts women's earning potential. Poverty data Despite being one of the wealthiest nations in the world, the United States has some of the highest poverty rates among OECD countries. While, the United States poverty rate has fluctuated since 1990, it has trended downwards since 2014. Similarly, the average median household income in the U.S. has mostly increased over the past decade, except for the covid-19 pandemic period. Among U.S. states, Louisiana had the highest poverty rate, which stood at some ** percent in 2024.

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

As of June 2022, over a quarter of adults with family income at or below *** percent FPL reported that they or their families have unpaid medical bills that are past due. The share of Americans with past-due medical bills increased as the level of family income decreased. This statistic illustrates the share of U.S. adults with past-due medical debt in 2022, by poverty level.

VITAL SIGNS INDICATOR
Poverty (EQ5)

FULL MEASURE NAME
The share of the population living in households that earn less than 200 percent of the federal poverty limit

LAST UPDATED
January 2023

DESCRIPTION
Poverty refers to the share of the population living in households that earn less than 200 percent of the federal poverty limit, which varies based on the number of individuals in a given household. It reflects the number of individuals who are economically struggling due to low household income levels.

DATA SOURCE
U.S Census Bureau: Decennial Census - http://www.nhgis.org
1980-2000

U.S. Census Bureau: American Community Survey - https://data.census.gov/
2007-2021
Form C17002

CONTACT INFORMATION
vitalsigns.info@mtc.ca.gov

METHODOLOGY NOTES (across all datasets for this indicator)
The U.S. Census Bureau defines a national poverty level (or household income) that varies by household size, number of children in a household, and age of householder. The national poverty level does not vary geographically even though cost of living is different across the United States. For the Bay Area, where cost of living is high and incomes are correspondingly high, an appropriate poverty level is 200% of poverty or twice the national poverty level, consistent with what was used for past equity work at MTC and ABAG. For comparison, however, both the national and 200% poverty levels are presented.

For Vital Signs, the poverty rate is defined as the number of people (including children) living below twice the poverty level divided by the number of people for whom poverty status is determined. The household income definitions for poverty change each year to reflect inflation. The official poverty definition uses money income before taxes and does not include capital gains or non-cash benefits (such as public housing, Medicaid and food stamps).

For the national poverty level definitions by year, see: US Census Bureau Poverty Thresholds - https://www.census.gov/data/tables/time-series/demo/income-poverty/historical-poverty-thresholds.html.

For an explanation on how the Census Bureau measures poverty, see: How the Census Bureau Measures Poverty - https://www.census.gov/topics/income-poverty/poverty/guidance/poverty-measures.html.

American Community Survey (ACS) 1-year data is used for larger geographies – Bay counties and most metropolitan area counties – while smaller geographies rely upon 5-year rolling average data due to their smaller sample sizes. Note that 2020 data uses the 5-year estimates because the ACS did not collect 1-year data for 2020.

To be consistent across metropolitan areas, the poverty definition for non-Bay Area metros is twice the national poverty level. Data were not adjusted for varying income and cost of living levels across the metropolitan areas.

This layer shows poverty status by age group. Data is from US Census American Community Survey (ACS) 5-year estimates.This layer is symbolized to show the percentage of the population whose income falls below the Federal poverty line. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right (in ArcGIS Online). To view only the census tracts that are predominantly in Tempe, add the expression City is Tempe in the map filter settings.A ‘Null’ entry in the estimate indicates that data for this geographic area cannot be displayed because the number of sample cases is too small (per the U.S. Census).Vintage: 2018-2022ACS Table(s): B17020 (Not all lines of these ACS tables are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community SurveyData Preparation: Data curated from Esri Living Atlas clipped to Census Tract boundaries that are within or adjacent to the City of Tempe boundaryDate of Census update: December 15, 2023National Figures: data.census.gov

In 2023, the around 11.1 percent of the population was living below the national poverty line in the United States. Poverty in the United StatesAs shown in the statistic above, the poverty rate among all people living in the United States has shifted within the last 15 years. The United Nations Educational, Scientific and Cultural Organization (UNESCO) defines poverty as follows: “Absolute poverty measures poverty in relation to the amount of money necessary to meet basic needs such as food, clothing, and shelter. The concept of absolute poverty is not concerned with broader quality of life issues or with the overall level of inequality in society.” The poverty rate in the United States varies widely across different ethnic groups. American Indians and Alaska Natives are the ethnic group with the most people living in poverty in 2022, with about 25 percent of the population earning an income below the poverty line. In comparison to that, only 8.6 percent of the White (non-Hispanic) population and the Asian population were living below the poverty line in 2022. Children are one of the most poverty endangered population groups in the U.S. between 1990 and 2022. Child poverty peaked in 1993 with 22.7 percent of children living in poverty in that year in the United States. Between 2000 and 2010, the child poverty rate in the United States was increasing every year; however,this rate was down to 15 percent in 2022. The number of people living in poverty in the U.S. varies from state to state. Compared to California, where about 4.44 million people were living in poverty in 2022, the state of Minnesota had about 429,000 people living in poverty.

Table B-5 from US Census, published on Sep 13, 2022 (Report Number P60-277): https://www.census.gov/library/publications/2022/demo/p60-277.html

"This report presents poverty estimates using two measures, the official poverty measure and the Supplemental Poverty Measure (SPM). The official poverty measure, in use since the 1960s, defines poverty by comparing pretax money income to a poverty threshold that is adjusted by family composition. The SPM, first released in 2011 and produced with support from the U.S. Bureau of Labor Statistics (BLS), extends the official poverty measure by taking account of many government programs that are designed to assist low-income families but are not included in the official poverty measure. The SPM also includes federal and state taxes and work and medical expenses. In addition, the SPM accounts for geographic variation in poverty thresholds, while the official poverty measure does not."

SELECTED ECONOMIC CHARACTERISTICS PERCENTAGE OF FAMILIES AND PEOPLE WHOSE INCOME IN THE PAST 12 MONTHS IS BELOW THE POVERTY LEVEL - DP03 Universe - All families and All People Survey-Program - American Community Survey 5-year estimates Years - 2020, 2021, 2022 Poverty statistics in American Community Survey (ACS) products adhere to the standards specified by the Office of Management and Budget in Statistical Policy Directive 14. The Census Bureau uses a set of dollar value thresholds that vary by family size and composition to determine who is in poverty. Further, poverty thresholds for people living alone or with nonrelatives (unrelated individuals) vary by age (under 65 Year or 65 Year and older). The poverty thresholds for two-person families also vary by the age of the householder. If a family’s total income is less than the dollar value of the appropriate threshold, then that family and every individual in it are considered to be in poverty. Similarly, if an unrelated individual’s total income is less than the appropriate threshold, then that individual is considered to be in poverty.

This layer shows Population and Poverty Status. This is shown by state and county boundaries. This service contains the 2018-2022 release of data from the American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the percentage of people whose income in the past 12 months is below poverty level. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right.Current Vintage: 2018-2022ACS Table(s): B17017, C17002, DP02, DP03Data downloaded from: Census Bureau's API for American Community Survey Date of API call: January 18, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:Boundaries come from the Cartographic Boundaries via US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates, and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico. The Counties (and equivalent) layer contains 3221 records - all counties and equivalent, Washington D.C., and Puerto Rico municipios. See Areas Published. Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells.Margin of error (MOE) values of -555555555 in the API (or "*****" (five asterisks) on data.census.gov) are displayed as 0 in this dataset. The estimates associated with these MOEs have been controlled to independent counts in the ACS weighting and have zero sampling error. So, the MOEs are effectively zeroes, and are treated as zeroes in MOE calculations. Other negative values on the API, such as -222222222, -666666666, -888888888, and -999999999, all represent estimates or MOEs that can't be calculated or can't be published, usually due to small sample sizes. All of these are rendered in this dataset as null (blank) values.

This dataset provides information on poverty-level wages in the United States from 1973 to 2022.

It includes data on both annual and hourly poverty-level wages, as well as wage shares for different income brackets.

The dataset is based on the Economic Policy Institute’s State of Working America Data Library, which offers comprehensive economic data for analyzing trends and patterns in the labor market.

Intresting Task Ideas:

1. Analyze the trend of annual poverty-level wages over the years.
2. Compare the hourly poverty-level wages between men and women.
3. Investigate the share of workers earning below poverty-level wages based on race.
4. Explore the distribution of wages across different poverty wage ranges.
5. Examine the income disparities across different income brackets (0-75%, 75-100%, etc.) for men and women.
6. Determine the proportion of workers earning above the poverty level (300%+) over time.
7. Calculate the percentage change in poverty-level wages from one year to another.

If you find this dataset valuable, don't forget to hit the upvote button! 😊💝

Checkout my other datasets

USA Wage Comparison for College vs. High School

Productivity and Hourly Compensation

150K TMDb TV Shows

USA Unemployment Rates by Demographics & Race

Gender Wage Gap in the USA

Photo by Jon Tyson on Unsplash

This product has been archived in accordance with Federal Grant Compliance and is no longer actively updated. The site remains accessible for historical reference purposes.Data Source: U.S. Census Bureau, "ACS Demographic and Housing Estimates," American Community Survey, ACS 5-Year Estimates Data Profiles, Table DP05, 2022., U.S. Census Bureau, "Educational Attainment," American Community Survey, ACS 5-Year Estimates Subject Tables, Table S1501, 2022., U.S. Census Bureau, "Poverty Status in the Past 12 Months," American Community Survey, ACS 5-Year Estimates Subject Tables, Table S1701, 2022., U.S. Census Bureau, "Median Income in the Past 12 Months (in 2022 Inflation-Adjusted Dollars)," American Community Survey, ACS 5-Year Estimates Subject Tables, Table S1903, 2022., U.S. Census Bureau, "Selected Characteristics of Health Insurance Coverage in the United States," American Community Survey, ACS 5-Year Estimates Subject Tables, Table S2701, 2022.,Variables:DP05_0073PE: Percent Hispanic or Latino (of any race) %DP05_0079PE: White %DP05_0080PE: Black or African American %DP05_0081PE: American Indian and Alaskan Native %DP05_0082PE: Asian %DP05_0083PE: Native Hawaiian and Other Pacific Islander %DP05_0084PE: Some other race %DP05_0085PE: Two or more races %Race_Rank: Race and Ethnicity RankS1501_C02_014E: Estimate Percent Population 25 years and over High school graduate or higher (%)S1501_C02_032E: Estimate Percent White, not Hispanic or Latino High school graduate or higher (%)S1501_C02_035E: Estimate Percent Black High school graduate or higher (%)S1501_C02_038E: Estimate Percent American Indian or Alaska Native High school graduate or higher (%)S1501_C02_041E: Estimate Percent Asian High school graduate or higher (%)S1501_C02_044E: Estimate Percent Native Hawaiian and Other Pacific Islander High school graduate or higher (%)S1501_C02_047E: Estimate Percent Some other race High school graduate or higher (%)S1501_C02_050E: Estimate Percent Two or more races High school graduate or higher (%)S1501_C02_053E: Estimate Percent Hispanic or Latino Origin High school graduate or higher (%)Education_Rank: Education RankS1701_C01_001E: Estimate Total Population for whom poverty status is determinedS1701_C03_001E: Estimate Percent below poverty level Population for whom poverty status is determinedS1701_C03_021E: Estimate Percent below poverty level: White alone, not Hispanic or LatinoS1701_C03_014E: Estimate Percent below poverty level: Black or African American aloneS1701_C03_015E: Estimate Percent below poverty level: American Indian and Alaska Native aloneS1701_C03_016E: Estimate Percent below poverty level: Asian aloneS1701_C03_017E: Estimate Percent below poverty level: Native Hawaiian and Other Pacific Islander aloneS1701_C03_018E: Estimate Percent below poverty level: Some other race aloneS1701_C03_019E: Estimate Percent below poverty level: Two or more racesS1701_C03_020E: Estimate Percent below poverty level: Hispanic or Latino origin (of any race)S1701_C03_010E: Estimate Percent below poverty level: AGE 65 years and overPoverty_Rank: Poverty RankS1903_C03_001E: Estimate Median income (dollars) (general)S1903_C03_003E: Estimate Median income (dollars) Black or African AmericanS1903_C03_004E: Estimate Median income (dollars) American Indian and Alaska NativeS1903_C03_005E: Estimate Median income (dollars) AsianS1903_C03_006E: Estimate Median income (dollars) Native Hawaiian and Other Pacific IslanderS1903_C03_007E: Estimate Median income (dollars) Some other raceS1903_C03_008E: Estimate Median income (dollars) Two or more racesS1903_C03_009E: Estimate Median income (dollars) Hispanic or Latino origin (of any race)S1903_C03_010E: Estimate Median income (dollars) WhiteIncome_Rank: Income RankS2701_C05_001E: Estimate Percent Uninsured Civilian noninstitutionalized populationS2701_C03_017E: Estimate Percent Insured Black or African American aloneS2701_C03_018E: Estimate Percent Insured American Indian and Alaska Native aloneS2701_C03_019E: Estimate Percent Insured Asian aloneS2701_C03_020E: Estimate Percent Insured Native Hawaiian and Other Pacific Islander aloneS2701_C03_021E: Estimate Percent Insured Some other race aloneS2701_C03_022E: Estimate Percent Insured Two or more racesS2701_C03_023E: Estimate Percent Insured Hispanic or Latino (of any race)S2701_C03_024E: Estimate Percent Insured White alone, not Hispanic or LatinoInsurance_Rank: Insurance RankYear: 2022Provider: U.S. Census Bureau

Luxembourg - Dispersion around the at Risk of Poverty threshold: at Risk of Poverty rate (cut-off point: 70% of median equivalised income) was 26.30% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Luxembourg - Dispersion around the at Risk of Poverty threshold: at Risk of Poverty rate (cut-off point: 70% of median equivalised income) - last updated from the EUROSTAT on December of 2025. Historically, Luxembourg - Dispersion around the at Risk of Poverty threshold: at Risk of Poverty rate (cut-off point: 70% of median equivalised income) reached a record high of 27.40% in December of 2022 and a record low of 22.70% in December of 2016.

Created for the 2023-2025 State of Black Los Angeles County (SBLA) interactive report. To learn more about this effort, please visit the report home page at https://ceo.lacounty.gov/ardi/sbla/. For more information about the purpose of this data, please contact CEO-ARDI. For more information about the configuration of this data, please contact ISD-Enterprise GIS. table nameindicator nameUniversetimeframesourcerace notessource urlbelow_fpl_percbelow 100% federal poverty level percent (%)Population for whom poverty status is determined2016-2020, 2018-2022American Community Survey - S1703Race alone; White is Non-Hispanic Whitehttps://data.census.gov/cedsci/table?g=0500000US06037&tid=ACSST5Y2020.S1703below_200fpl_percbelow 200% federal poverty level percent (%)Total population2021, 2022Population and Poverty Estimates of Los Angeles County Tract-City Splits by Age, Sex and Race-Ethnicity for July 1, 2021, Los Angeles, CA, April 2022All races are Non-HispanicLA County eGIS-Demographymedian_incomeMedian income (household) Households2016-2020, 2018-2022American Community Survey - S1903All races are Non-Hispanic; Race is that of householderhttps://data.census.gov/cedsci/table?q=S1903&g=0500000US06037percapita_incomeMean Per Capita IncomeTotal population2016-2020, 2018-2022American Community Survey - S1902Race alone; White is Non-Hispanic Whitehttps://data.census.gov/cedsci/table?g=0500000US06037&tid=ACSST5Y2020.S1902college_degree_anyCollege degree AA, BA, or Higher %Population 25 years and over2021, 2022American Community Survey - B15002B-IRace alone; White is Non-Hispanic Whitehttps://data.census.gov/cedsci/table?q=b15002b&g=0500000US06037graduate_professional_degreeGraduate or professional degree %Population 25 years and over2021, 2022American Community Survey - B15002B-IRace alone; White is Non-Hispanic Whitehttps://data.census.gov/cedsci/table?q=b15002b&g=0500000US06037unemployment_rateUnemployment RatePopulation 16 years and over2016-2020, 2018-2022American Community Survey - S2301Race alone; White is Non-Hispanic Whitehttps://data.census.gov/cedsci/table?q=S2301%3A%20EMPLOYMENT%20STATUS&g=0500000US06037&tid=ACSST5Y2020.S2301below_300fpl_food_insecurePercent of Households with Incomes <300% Federal Poverty Level That Are Food Insecure Percent of Households with Incomes <300% Federal Poverty Level 2018Los Angeles County Health Survey https://publichealth.lacounty.gov/ha/LACHSDataTopics2018.htmbelow_185fpl_snapPercent of Adults (Ages 18 Years and Older) with Household Incomes <185% Federal Poverty Level Who Are Currently Receiving Supplemental Nutrition Assistance Program (SNAP), Also Known as CalfreshAdults (Ages 18 Years and Older) with Household Incomes <185% Federal Poverty Level Los Angeles County Health Survey 20182018https://publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm B24010Sex by Occupation for the Civilian Employed Population 16 Years and Over Civilian employed population 16 years and over

The data consist of the poverty rate by year in Maryland and the margin of error of the poverty rate from 2013 to 2023. MOE=Margin of Error for the 90% confidence interval. Sourced from the U.S. Census Bureau, Small Area Income and Poverty Estimates.

The amount of money both single people and families need to earn in order to be over the risk of poverty threshold in Germany has been generally increasing over the past few years. In 2022, for a household with two parents and two children, the poverty threshold was 31,500 euros, a slight increase compared with 2021.

This map was updated in April of 2022. To see the archived version of this map, click here: https://nmcdc.maps.arcgis.com/home/item.html?id=2e4c4c4cafcc49db80837f32912e66a5#overviewThis map displays data from the Selected Economic Indicators (DP03) dataset from the 2020 American Community Survey 5-Yr Estimates, U.S. Census Bureau. Data is shown at the level of Census Tract and County levels. Small Areas are not on this map at this time (aggregation of Census Tracts developed by the New Mexico Department of Health). Measuring poverty is a topic of much current discussion. See the following links: A Different Way to Measure Poverty - https://www.sanders.senate.gov/imo/media/image/census.jpg"Few topics in American society have more myths and stereotypes surrounding them than poverty, misconceptions that distort both our politics and our domestic policy making."They include the notion that poverty affects a relatively small number of Americans, that the poor are impoverished for years at a time, that most of those in poverty live in inner cities, that too much welfare assistance is provided and that poverty is ultimately a result of not working hard enough. Although pervasive, each assumption is flat-out wrong." -Mark Rank, Professor of Social Welfare at Washington University: https://opinionator.blogs.nytimes.com/2013/11/02/poverty-in-america-is-mainstream/

France - Dispersion around the at Risk of Poverty threshold: at Risk of Poverty rate (cut-off point: 70% of median equivalised income) was 23.20% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for France - Dispersion around the at Risk of Poverty threshold: at Risk of Poverty rate (cut-off point: 70% of median equivalised income) - last updated from the EUROSTAT on November of 2025. Historically, France - Dispersion around the at Risk of Poverty threshold: at Risk of Poverty rate (cut-off point: 70% of median equivalised income) reached a record high of 23.40% in December of 2022 and a record low of 20.80% in December of 2017.