This operations dashboard shows historic and current data related to this performance measure.The performance measure dashboard is available at 3.31 Poverty Rate. Data Dictionary

This dataset includes Tempe and Maricopa County annual poverty rates.This page provides data for the Poverty Rate performance measure. The performance measure dashboard is available at 3.31 Poverty Rate.Additional InformationSource: American Community Survey 5-year estimatesContact: Octavia HarrisContact E-Mail: Octavia_Harris@tempe.govData Source Type: ExcelPreparation Method: manuallyPublish Frequency: annuallyPublish Method: manuallyData Dictionary

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).

This page provides information for the Poverty Rate performance measure.

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.

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

European Union - At Risk of Poverty rate: Three or more adults was 8.80% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for European Union - At Risk of Poverty rate: Three or more adults - last updated from the EUROSTAT on July of 2025. Historically, European Union - At Risk of Poverty rate: Three or more adults reached a record high of 12.10% in December of 2014 and a record low of 8.50% in December of 2023.

Number of people who have moved out of poverty into middle skill jobs

France - At Risk of Poverty rate: Three or more adults was 6.30% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for France - At Risk of Poverty rate: Three or more adults - last updated from the EUROSTAT on July of 2025. Historically, France - At Risk of Poverty rate: Three or more adults reached a record high of 9.70% in December of 2016 and a record low of 5.70% in December of 2013.

In 2023, about **** percent of children under 18-years-old were living below the poverty line in the United States, significantly lower than 1990. While still high, the rate has seen a general decline throughout the last decade. Historic lows were recorded in 2019 when the child poverty rate was **** percent.

Abstract The study analyzes the development of responses to address the COVID-19 pandemic in Latin America. It is a descriptive study based on an analysis of documents, data, and policy measures adopted or announced between March and December 2020 in 14 Latin American countries. The analysis included assessment of the content, tenor, and scope of policy measures for containment and mitigation, health care, and reorganization of health services identified on government websites. In addition, quantitative demographic indicators were included, as well as those related to the epidemiological situation and the result of the Stringency index. In general, the responses of Latin American countries were heterogeneous, albeit multisectoral, characterizing the complexity and diversity of decision making when confronting a pandemic. The conclusion drawn is that there is still a great deal to reflect upon with respect to the consequences of regulatory weaknesses for the achievement of multidimensional demands during health crises.

In 2025, nearly 11.7 percent of the world population in extreme poverty, with the poverty threshold at 2.15 U.S. dollars a day, lived in Nigeria. Moreover, the Democratic Republic of the Congo accounted for around 11.7 percent of the global population in extreme poverty. Other African nations with a large poor population were Tanzania, Mozambique, and Madagascar. Poverty levels remain high despite the forecast decline Poverty is a widespread issue across Africa. Around 429 million people on the continent were living below the extreme poverty line of 2.15 U.S. dollars a day in 2024. Since the continent had approximately 1.4 billion inhabitants, roughly a third of Africa’s population was in extreme poverty that year. Mozambique, Malawi, Central African Republic, and Niger had Africa’s highest extreme poverty rates based on the 2.15 U.S. dollars per day extreme poverty indicator (updated from 1.90 U.S. dollars in September 2022). Although the levels of poverty on the continent are forecast to decrease in the coming years, Africa will remain the poorest region compared to the rest of the world. Prevalence of poverty and malnutrition across Africa Multiple factors are linked to increased poverty. Regions with critical situations of employment, education, health, nutrition, war, and conflict usually have larger poor populations. Consequently, poverty tends to be more prevalent in least-developed and developing countries worldwide. For similar reasons, rural households also face higher poverty levels. In 2024, the extreme poverty rate in Africa stood at around 45 percent among the rural population, compared to seven percent in urban areas. Together with poverty, malnutrition is also widespread in Africa. Limited access to food leads to low health conditions, increasing the poverty risk. At the same time, poverty can determine inadequate nutrition. Almost 38.3 percent of the global undernourished population lived in Africa in 2022.

In 2023, there were a total of seven million families living below the poverty line in the United States. Poverty is the state of one who lacks a certain amount of material possessions or money. Absolute poverty or destitution is inability to afford basic human needs, which commonly includes clean and fresh water, nutrition, health care, education, clothing, and shelter.

Many developed countries have recently experienced sharp increases in home birth rates. This paper investigates the impact of home births on the health of low-risk newborns using data from the Netherlands, the only developed country where home births are widespread. To account for endogeneity in location of birth, we exploit the exogenous variation in distance from a mother's residence to the closest hospital. We find that giving birth in a hospital leads to substantial reductions in newborn mortality. We provide suggestive evidence that proximity to medical technologies may be an important channel contributing to these health gains. (JEL I11, I12, J13, J16)

This study includes data and documentation for Round 3 only. Round 1 is available under SN 5307, Round 2 under SN 6852, Round 4 under SN 7931 and Round 5 under SN 8357.

Latest edition:
For the fourth edition (August 2022), the Peruvian household level data files (pe_oc_householdlevel and pe_yc_householdlevel) have been updated to include the mother's health variables.

Analysis of ‘3.31 Poverty Rate (summary)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/818c8c8a-81be-4bb9-a409-fbec9860cd4c on 11 February 2022.

--- Dataset description provided by original source is as follows ---

This dataset includes Tempe and Maricopa County annual poverty rates.

This page provides data for the Poverty Rate performance measure.

The performance measure dashboard is available at 3.31 Poverty Rate.

Additional Information

Source: American Community Survey 5-year estimates

Contact: Octavia Harris

Contact E-Mail: Octavia_Harris@tempe.gov

Data Source Type: Excel

Preparation Method: manually

Publish Frequency: annually

Publish Method: manually

Data Dictionary

--- Original source retains full ownership of the source dataset ---

Average Out-of-pocket expenditure (OOPE) per hospitalization episode (the mean, in Rs.) across various socio-economic categories by type of insurance coverage. This table was calculated by the authors using the NSS 71st Round unit level data. This table shows OOPE across different equity indicators (sex, residence and social group). (XLSX 9Â kb)

Netherlands - At Risk of Poverty rate: Three or more adults was 7.30% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Netherlands - At Risk of Poverty rate: Three or more adults - last updated from the EUROSTAT on July of 2025. Historically, Netherlands - At Risk of Poverty rate: Three or more adults reached a record high of 8.50% in December of 2017 and a record low of 2.10% in December of 2021.

Finland - At Risk of Poverty rate: Three or more adults was 3.70% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Finland - At Risk of Poverty rate: Three or more adults - last updated from the EUROSTAT on July of 2025. Historically, Finland - At Risk of Poverty rate: Three or more adults reached a record high of 7.30% in December of 2012 and a record low of 0.20% in December of 2019.

Chile Poverty Statistics: 0 to 3 data was reported at 129,846.000 Person in 2017. This records a decrease from the previous number of 180,412.000 Person for 2015. Chile Poverty Statistics: 0 to 3 data is updated yearly, averaging 273,843.000 Person from Dec 2006 (Median) to 2017, with 6 observations. The data reached an all-time high of 343,573.000 Person in 2006 and a record low of 129,846.000 Person in 2017. Chile Poverty Statistics: 0 to 3 data remains active status in CEIC and is reported by Ministry of Social Development. The data is categorized under Global Database’s Chile – Table CL.H020: National Socio-Economic Characterization Survey: Poverty Situation.