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.

Sea level rise is an ever-looming climate hazard facing the coastal communities of the United States. Communities big and small need easy-to-use tools for climate resilience planning and mitigation strategies. This layer shows coastal census tracts that are at risk from sea level rise and also the percentage of the census tract that lives below the poverty level. This layer should be used to identify and prioritize where to implement sea level rise interventions. This layer uses bivariate symbology with the following attributes: Percent of the Tract Area Predicted to be Below Sea Level by 2050 (%)Percent of Population whose income in the past 12 months is below poverty level (%)These attribute links take you to the original data sources. Preprocessing was needed to prepare many of these inputs for inclusion in our index. The links are provided for reference only.This layer is one of six in a series developed to support local climate resilience planning. Intended as planning tools for policy makers, climate resilience planners, and community members, these layers highlight areas of the community that are most likely to benefit from the resilience intervention it supports. Each map focuses on one specific sea level rise intervention that is intended to help mitigate against the climate hazard.Each intervention index will help with planning and prioritizing mitigations against a suite of climate change hazards. A climate resilience intervention index can be used to rank census tracts in a particular area as benefitting more or less from that particular intervention.

Each intervention index in this set is envisioned to help with planning and prioritizing mitigations against sea level rise.Layers in the sea level rise hazard series include,Where Would Planting Mangrove Trees Mitigate Coastal Flooding?Where Would Planting Marsh Grass Mitigate Coastal Flooding?Where Would a Buddy Program Improve Coastal Flooding Preparedness?Where Would Coastal Flooding Awareness Increase Resilience?Low-income Households At Risk From Sea Level RiseDisadvantaged Communities At Risk From Sea Level RiseDid you know you can build your own climate resilience index or use ours and customize it? The Customize a climate resilience index Tutorial provides more information on the index and also walks you through steps for taking our index and customizing it to your needs so you can create intervention maps better suited to your location and sourced from your own higher resolution data. For more information about how Esri enriched the census tracts with exposure, demographic, and environmental data to create composite indices called intervention indices, please read this technical reference.This feature layer was created from the Climate Resilience Planning Census Tracts hosted feature layer view and is one of 18 similar intervention layers, all of which can be found in ArcGIS Living Atlas of the World.

The Sea Level Rise Impacts on Ramsar Wetlands of International Importance data set represents the results of an analysis using the boundaries for Ramsar sites designated under the Ramsar Convention on Wetlands and intersecting them with different elevation zones in the coastal zone to assess area and percent area that would become inundated under 1 and 2 meter sea level rise scenarios. This data set provides results for 613 sites with defined boundaries that were found to intersect with the 0-5m above mean sea level coastal zone, defined by NASA Shuttle Radar Topography Mission (SRTM) elevation data. In addition to assessing the degree of risk of inundation, the data set provides population density and percent of land that is urban within the site and within 1km and 5km buffers surrounding the site. The data set also reports on infant mortality rates within 1km and 5km buffers around the site, as a measure of poverty levels that may affect adaptive capacity.

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

Over the past 30 years, there has been an almost constant reduction in the poverty rate worldwide. Whereas nearly ** percent of the world's population lived on less than 2.15 U.S. dollars in terms of 2017 Purchasing Power Parity (PPP) in 1990, this had fallen to *** percent in 2022. This is even though the world's population was growing over the same period. However, there was a small increase in the poverty rate during the COVID-19 pandemic in 2020 and 2021, when thousands of people became unemployed overnight. Moreover, the rising cost of living in the aftermath of the pandemic and spurred by the Russian invasion of Ukraine in 2022 meant that many people were struggling to make ends meet. Poverty is a regional problem Poverty can be measured in relative and absolute terms. Absolute poverty concerns basic human needs such as food, clothing, shelter, and clean drinking water, whereas relative poverty looks at whether people in different countries can afford a certain living standard. Most countries that have a high percentage of their population living in absolute poverty, meaning that they are poor compared to international standards, are regionally concentrated. African countries are most represented among the countries in which poverty prevails the most. In terms of numbers, Sub-Saharan Africa and South Asia have the most people living in poverty worldwide. Inequality on the rise How wealth, or the lack thereof, is distributed within the global population and even within countries is very unequal. In 2022, the richest one percent of the world owned almost half of the global wealth, while the poorest 50 percent owned less than two percent in the same year. Within regions, Latin America had the most unequal distribution of wealth, but this phenomenon is present in all world regions.

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).

In 2022, the poverty rate in France reached **** percent. In recent years, poverty in France has been increasing, affecting both unemployed and working people. In fact, according to Insee, *** percent of economically active persons had a living standard inferior to the poverty rate in 2022. The increase in poverty in France Poverty in France reached its highest rate in 2018. That year, almost ** percent of the French population was living below the poverty line, which means that their income was less than 60 percent of the median income in the country. Despite a significant decrease between 2000 and 2004, when the rate went from **** percent down to **** percent, poverty has been rising in France in recent years. Studies have shown that the number of poor people increased in France, reaching approximately *** million individuals in 2022, while **** million people were at risk of poverty or social exclusion in 2020.Poverty is affecting the youth and middle classes Poverty seems to affect mainly younger generations. In 2016, **** percent of the French aged between 18 and 29 years old were considered poor. In comparison, only *** percent of the French aged 65 and 74 years old were in the same situation. Youth unemployment in France, one of the highest in Europe, might explain this phenomenon. However, the middle class is not spared from the rise of poverty either. In 2017, **** percent of French middle-income households had difficulties making ends meet.

Note: Updates to this data product are discontinued. Over 1 in 4 rural children are living in families that are poor, according to the official poverty measure, up from 1 in 5 in 1999, but this change was uneven across the rural landscape. Counties with high vulnerability to child poverty, those with both low young adult education levels and high proportions of children in single-parent families, were generally the most hard-hit by the recession of the past decade and experienced substantial increases in their already high child poverty rates. Along with the recession, an increase in rural children in single-parent households, continuing from the 1990s, was a major contributor to the rise in child poverty after 2000. Three factors that shape the geography of high and increasing rural child poverty are explored below: economic conditions, young adult education levels, and family structure. This collection of maps complements the July 2015 Amber Waves feature, Understanding the Geography of Growth in Rural Child Poverty.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Rural Child Poverty Chart Gallery For complete information, please visit https://data.gov.

Poverty in a Rising Africa, the first of two upcoming reports on poverty in Africa, documents the data challenges facing the region and reviews the status of Africa’s poverty and inequality, both monetary and nonmonetary, taking these data challenges into account.

United States US: Increase in Poverty Gap at $1.90: Poverty Line Due To Out-of-Pocket Health Care Expenditure: 2011 PPP: USD data was reported at 0.000 USD in 2013. This records a decrease from the previous number of 0.002 USD for 2012. United States US: Increase in Poverty Gap at $1.90: Poverty Line Due To Out-of-Pocket Health Care Expenditure: 2011 PPP: USD data is updated yearly, averaging 0.000 USD from Dec 1995 (Median) to 2013, with 18 observations. The data reached an all-time high of 0.002 USD in 2012 and a record low of 0.000 USD in 2013. United States US: Increase in Poverty Gap at $1.90: Poverty Line Due To Out-of-Pocket Health Care Expenditure: 2011 PPP: USD 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: Poverty. Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure, expressed in US dollars (2011 PPP); ; Wagstaff et al. Progress on Impoverishing Health Spending: Results for 122 Countries. A Retrospective Observational Study, Lancet Global Health 2017.; Weighted average;

Jamaica poverty rate for 2021 was 22.90%, a 4.6% increase from 2018.

<ul style='margin-top:20px;'>

<li>Jamaica poverty rate for 2018 was <strong>18.30%</strong>, a <strong>26% decline</strong> from 2004.</li>
<li>Jamaica poverty rate for 2004 was <strong>44.30%</strong>, a <strong>2.3% decline</strong> from 2002.</li>
<li>Jamaica poverty rate for 2002 was <strong>46.60%</strong>, a <strong>1.5% increase</strong> from 1999.</li>
</ul>Poverty headcount ratio at $5.50 a day is the percentage of the population living on less than $5.50 a day at 2011 international prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.

Poverty in a Rising Africa, the first of two upcoming reports on poverty in Africa, documents the data challenges facing the region and reviews the status of Africa’s poverty and inequality, both monetary and nonmonetary, taking these data challenges into account.

Over the last two decades the distribution of private household expenditures has become more unequal in Laos, with the Gini coefficient rising from 0.311 to 0.364, even though absolute poverty incidence has halved.

Korea Relative Poverty Rate: All Households: Disposable Income data was reported at 14.700 % in 2016. This records an increase from the previous number of 13.800 % for 2015. Korea Relative Poverty Rate: All Households: Disposable Income data is updated yearly, averaging 14.700 % from Dec 2006 (Median) to 2016, with 11 observations. The data reached an all-time high of 15.300 % in 2009 and a record low of 13.800 % in 2015. Korea Relative Poverty Rate: All Households: Disposable Income data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s Korea – Table KR.H066: Household Income and Expenditure Survey (HS): Income Distribution.

United States Poverty Headcount Ratio at Societal Poverty Lines: % of Population data was reported at 19.200 % in 2022. This records an increase from the previous number of 16.700 % for 2021. United States Poverty Headcount Ratio at Societal Poverty Lines: % of Population data is updated yearly, averaging 19.200 % from Dec 1963 (Median) to 2022, with 60 observations. The data reached an all-time high of 20.500 % in 1993 and a record low of 16.700 % in 2021. United States Poverty Headcount Ratio at Societal Poverty Lines: % of Population 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: Social: Poverty and Inequality. The poverty headcount ratio at societal poverty line is the percentage of a population living in poverty according to the World Bank's Societal Poverty Line. The Societal Poverty Line is expressed in purchasing power adjusted 2017 U.S. dollars and defined as max($2.15, $1.15 + 0.5*Median). This means that when the national median is sufficiently low, the Societal Poverty line is equivalent to the extreme poverty line, $2.15. For countries with a sufficiently high national median, the Societal Poverty Line grows as countries’ median income grows.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

Peru was one of the countries most affected by the COVID-19 pandemic in terms of health and economic impacts and the erosion of the socialgains achieved in the previous decade. By July 2022, Peru had registered more than 6,000 deaths per million population because of COVID-19,placing the country among the countries with the highest COVID-related mortality rates per capita. The economy contracted by 11 percent in 2020, its biggest fall in 30 years and the largest in Latin America during that year. As a result, the national poverty rate increased to 30.1 percent, a level not seen since 2010, and extreme poverty reached 5.1percent in 2020, comparable with the rate in 2013. By the end of 2021, the economy had recovered, but poverty and extreme poverty remained at the levels of 2012 and 2015, respectively. The magnitude of the welfare loss during the crisis revealed the fragility of the social gains that had been achieved during the previous two decades.

Mali: Poverty, percent of population: The latest value from 2021 is 44.6 percent, an increase from 41.9 percent in 2020. In comparison, the world average is 22.31 percent, based on data from 66 countries. Historically, the average for Mali from 2001 to 2021 is 44.97 percent. The minimum value, 41.1 percent, was reached in 2009 while the maximum of 50.9 percent was recorded in 2001.

Historical chart and dataset showing Brazil poverty rate by year from 1981 to 2023.

Office of Child Support Enforecment (OCSE) Story Behind the Numbers - Child Support Fact Sheet #3. This fact sheet focuses on data reported in a recent U.S. Census Bureau report, Custodial Mothers and Fathers and Their Child Support: 2011. The data reported are estimated based on a biennial survey of custodial parents, the Child Support Supplement to the Current Population Survey, March/April 2012, co-sponsored by the Office of Child Support Enforcement. The proportion of custodial parents living below poverty line continues to increase in 2011. The report found that 4.2 million custodial parents lived in poverty in 2011, representing 29 percent of all custodial parents, about twice the poverty rate for the total population. These statistics reinforce the essential role that child support services can play in helping low-income families, especially during an economic downturn.

Japan JP: Increase in Poverty Gap at $1.90: Poverty Line Due To Out-of-Pocket Health Care Expenditure: 2011 PPP: USD data was reported at 0.186 USD in 2015. This records a decrease from the previous number of 0.204 USD for 2014. Japan JP: Increase in Poverty Gap at $1.90: Poverty Line Due To Out-of-Pocket Health Care Expenditure: 2011 PPP: USD data is updated yearly, averaging 0.204 USD from Dec 2009 (Median) to 2015, with 7 observations. The data reached an all-time high of 0.508 USD in 2010 and a record low of 0.098 USD in 2011. Japan JP: Increase in Poverty Gap at $1.90: Poverty Line Due To Out-of-Pocket Health Care Expenditure: 2011 PPP: USD data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank.WDI: Poverty. Increase in poverty gap at $1.90 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure, expressed in US dollars (2011 PPP). The poverty gap increase due to out-of-pocket health spending is one way to measure how much out-of-pocket health spending pushes people below or further below the poverty line (the difference in the poverty gap due to out-of-pocket health spending being included or excluded from the measure of household welfare). This difference corresponds to the total out-of-pocket health spending for households that are already below the poverty line, to the amount that exceeds the shortfall between the poverty line and total consumption for households that are impoverished by out-of-pocket health spending and to zero for households whose consumption is above the poverty line after accounting for out-of-pocket health spending.; ; World Health Organization and World Bank. 2019. Global Monitoring Report on Financial Protection in Health 2019.; Weighted average;