In 2023, the poverty rate of the United States was around **** percent. Louisiana was the state with the highest poverty rate, at **** percent. Poverty rates in the United States are higher than in many parts of the world, and minority groups are much more likely to be living in poverty when compared to white people.

Two out of every three persons in Chiapas lived under the poverty line in 2022, making it the federal entity with the largest share of poor population in Mexico. On average, about 36 percent of the Mexican population was living in poverty that year.

Graph and download economic data for Estimated Percent of People of All Ages in Poverty for United States (PPAAUS00000A156NCEN) from 1989 to 2023 about child, poverty, percent, and USA.

This statistic represents the tax burden of the poorest ** percent in the U.S. in year 2018, by state. The tax rate is the total average state and local taxes as a percentage of income. In 2018, the poorest ** percent in Washington paid almost **** percent of their family income as a tax.

Chiapas was the state in Mexico with the highest average extreme poverty rate in 2022. It was estimated that almost three out of ten people in Chiapas lived in a situation of extreme poverty. In contrast, Baja California was the state with the lowest extreme poverty rate, with 0.8 percent, well below the national average, which stood at 7.1 percent. The share of population living in poverty in Mexico amounted to 36.3 percent in 2022.

Number of poor at $5.5 a day of United States of America remained stable at 5.7 million persons over the last 1 years. Number of people living on less than $5.50 a day at 2011 international prices. Data are based on primary household survey data obtained from government

Globally, the gap between the richest and poorest population is widening, and United States of America is no exception. Waldo Tobler's First Law of Geography states that near things are more related than distant things, which can sometimes be seen within a map as clustering of features. Use this map to explore the distribution of households within the income extremes.The app allows the user to explore an area by typing an area of interest into the search bar. Dot density is used to represent multiple households per dot and are contained within census tract boundaries. A pop-up appears at larger scales in order to provide a chart comparing the household count for the highest and lowest income ranges. The highest income range covers households which make $200,000 or more a year. The lowest income range shows households making less than $25,000 a year. The map is shown from 36M scale to 72K scale and is designed to be displayed on the Dark Gray Canvas Basemap.The data within this map comes from Esri's Updated Demographics. The vintage of the data and boundaries is 2015.

Number of poor at $5.5 a day of Micronesia (Federated States of) remained stable by 0.00% from 0.1 million persons in 2005 to 0.1 million persons in 2013. Number of people living on less than $5.50 a day at 2011 international prices. Data are based on primary household survey data obtained from government

United States US: Account: Income: Poorest 40%: % Aged 15+ data was reported at 87.116 % in 2014. This records an increase from the previous number of 80.995 % for 2011. United States US: Account: Income: Poorest 40%: % Aged 15+ data is updated yearly, averaging 84.056 % from Dec 2011 (Median) to 2014, with 2 observations. The data reached an all-time high of 87.116 % in 2014 and a record low of 80.995 % in 2011. United States US: Account: Income: Poorest 40%: % Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Banking Indicators. Denotes the percentage of respondents who report having an account (by themselves or together with someone else). For 2011, this can be an account at a bank or another type of financial institution, and for 2014 this can be a mobile account as well (see year-specific definitions for details) (income, poorest 40%, % age 15+). [ts: data are available for multiple waves].; ; Demirguc-Kunt et al., 2015, Global Financial Inclusion Database, World Bank.; Weighted average;

Amazonas, a sparsely populated state located in the southern part of Venezuela, is the region with the highest poverty rate in Venezuela. In 2021, 99 percent of the population in Amazonas state was considered to live below the poverty line. Yaracuy and Sucre were other Venezuelan states that registered the highest poverty rates that year, both above 97 percent. More than half of households in Venezuela are estimated to be under extreme poverty.

This research describes the demographic attributes of both rich and poor households, and also the composition of their holdings. The data are drawn from surveys of household wealth conducted for the Federal Reserve Board in 1983, 1989, and 1992, years that approximate the turning points of the 1982-1991 business cycle.

In 2022, the East Malaysian state of Sabah had the highest rate of poverty in Malaysia, with **** percent of the population living below the poverty line. In 2019, Malaysia revised its national poverty line income, increasing it from 980 Malaysian ringgit to 2,208 Malaysian ringgit. Sabah is one of Malaysia's most rural and least developed states.

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 September of 2025.

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 August of 2025.

This map compares the relationship between annual average particulate matter 2.5 (PM 2.5) air quality data for the US between 1998 and 2016 to the percent of households that are below the poverty level. Poverty data is from the American Community Survey estimates and air quality data is from NASA SEDAC gridded data aggregated to states, counties, congressional districts, and 50km hex bins. Click on the map to view more information such as the trend over time. Click here to view more information on how this layer was created. Citations:van Donkelaar, A., R. V. Martin, M. Brauer, N. C. Hsu, R. A. Kahn, R. C. Levy, A. Lyapustin, A. M. Sayer, and D. M. Winker. 2018. Global Annual PM2.5 Grids from MODIS, MISR and SeaWiFS Aerosol Optical Depth (AOD) with GWR, 1998-2016. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4ZK5DQS. Accessed 1 April 2020van Donkelaar, A., R. V. Martin, M. Brauer, N. C. Hsu, R. A. Kahn, R. C. Levy, A. Lyapustin, A. M. Sayer, and D. M. Winker. 2016. Global Estimates of Fine Particulate Matter Using a Combined Geophysical-Statistical Method with Information from Satellites. Environmental Science & Technology 50 (7): 3762-3772. https://doi.org/10.1021/acs.est.5b05833.

4.1 (million persons) in 2018. Number of people living on less than $3.20 a day at 2011 international prices. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).

On the assumption that poor people migrate to obtain better welfare benefits, the magnet hypothesis predicts that a state's poverty rate increases when its welfare benefit rises faster than benefits in surrounding states. The benefit competition hypothesis proposes that states lower welfare benefits to avoid attracting the poor from neighboring states. Previous investigations, which yield support for these propositions, suffer from weaknesses in model specification and methodology. We correct these deficiencies in a simultaneous equation model including a state's poverty rate and its benefit level for AFDC (Aid to Families with Dependent Children) as endogenous variables. We estimate the model using pooled annual data for the American states from 1960 to 1990, and find that a state's poverty rate does not jump significantly when its welfare payments outpace benefits in neighboring states. Neither is there any evidence of vigorous benefit competition among states. States respond to decreases in neighboring states.

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 July of 2025.

The dataset contains Year and State wise Population Estimates - Multi-dimensional Poverty Index(MPI)

Headcount Ratio: This is the proportion of multidimensionally poor individuals in the total population. It is also known as the incidence of poverty and broadly explains ‘how many are poor’. It is calculated by dividing the number of multidimensionally poor individuals by the total population.

Intensity of Poverty: This represents how poor the poor are. It is the average proportion or share of weighted deprivations experienced by multidimensionally poor individuals.

MPI Index: The Multidimensional Poverty Index is the product of the Headcount Ratio (H) and the Intensity of Poverty (A) (MPI = H x A). It reflects both the incidence (how many are poor) and the intensity (how poor are the poor) of multidimensional poverty. The MPI is also known as the adjusted headcount ratio and presents insights into the depth of poverty

United States - Employment to Population Ratio for Heavily Indebted Poor Countries was 63.65% in January of 2024, according to the United States Federal Reserve. Historically, United States - Employment to Population Ratio for Heavily Indebted Poor Countries reached a record high of 68.50 in January of 1991 and a record low of 61.82 in January of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employment to Population Ratio for Heavily Indebted Poor Countries - last updated from the United States Federal Reserve on September of 2025.