10 datasets found
  1. F

    Estimated Mean Real Household Wages Adjusted by Cost of Living for District...

    • fred.stlouisfed.org
    json
    Updated Dec 12, 2024
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    (2024). Estimated Mean Real Household Wages Adjusted by Cost of Living for District of Columbia, DC [Dataset]. https://fred.stlouisfed.org/series/MWACL11001
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    jsonAvailable download formats
    Dataset updated
    Dec 12, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Washington, District of Columbia
    Description

    Graph and download economic data for Estimated Mean Real Household Wages Adjusted by Cost of Living for District of Columbia, DC (MWACL11001) from 2009 to 2023 about DC, Washington, and USA.

  2. Attendance costs when studying in-state at U.S. universities, by state...

    • statista.com
    Updated Jan 26, 2021
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    Statista (2021). Attendance costs when studying in-state at U.S. universities, by state 2018/19 [Dataset]. https://www.statista.com/statistics/237837/university-attendance-costs-in-the-us-by-state/
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    Dataset updated
    Jan 26, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows the average cost to attend university per year when living on campus and studying in-state in the United States in 2018/19. Attendance cost includes tuition and fees, room and board costs, books and supplies, and other personal and transportation costs. Studying in the District of Columbia was the most expensive in the academic year of 2018/19, with attendance costs adding up to approximately 64,354 U.S. dollars per year.

  3. C

    Housing Affordability

    • data.ccrpc.org
    csv
    Updated Oct 17, 2024
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    Champaign County Regional Planning Commission (2024). Housing Affordability [Dataset]. https://data.ccrpc.org/dataset/housing-affordability
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    csvAvailable download formats
    Dataset updated
    Oct 17, 2024
    Dataset authored and provided by
    Champaign County Regional Planning Commission
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    The housing affordability measure illustrates the relationship between income and housing costs. A household that spends 30% or more of its collective monthly income to cover housing costs is considered to be “housing cost-burden[ed].”[1] Those spending between 30% and 49.9% of their monthly income are categorized as “moderately housing cost-burden[ed],” while those spending more than 50% are categorized as “severely housing cost-burden[ed].”[2]

    How much a household spends on housing costs affects the household’s overall financial situation. More money spent on housing leaves less in the household budget for other needs, such as food, clothing, transportation, and medical care, as well as for incidental purchases and saving for the future.

    The estimated housing costs as a percentage of household income are categorized by tenure: all households, those that own their housing unit, and those that rent their housing unit.

    Throughout the period of analysis, the percentage of housing cost-burdened renter households in Champaign County was higher than the percentage of housing cost-burdened homeowner households in Champaign County. All three categories saw year-to-year fluctuations between 2005 and 2023, and none of the three show a consistent trend. However, all three categories were estimated to have a lower percentage of housing cost-burdened households in 2023 than in 2005.

    Data on estimated housing costs as a percentage of monthly income was sourced from the U.S. Census Bureau’s American Community Survey (ACS) 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 Housing Tenure.

    [1] Schwarz, M. and E. Watson. (2008). Who can afford to live in a home?: A look at data from the 2006 American Community Survey. U.S. Census Bureau.

    [2] Ibid.

    Sources: U.S. Census Bureau; American Community Survey, 2023 American Community Survey 1-Year Estimates, Table B25106; 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 B25106; generated by CCRPC staff; using data.census.gov; (22 September 2023).; U.S. Census Bureau; American Community Survey, 2021 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using data.census.gov; (30 September 2022).; U.S. Census Bureau; American Community Survey, 2019 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using data.census.gov; (10 June 2021).; U.S. Census Bureau; American Community Survey, 2018 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using data.census.gov; (10 June 2021).;U.S. Census Bureau; American Community Survey, 2017 American Community Survey 1-Year Estimates, Table B25106; 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 B25106; 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 B25106; 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 B25106; 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 B25106; 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 B25106; 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 B25106; 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 B25106; 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 B25106; 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 B25106; 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 B25106; 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 B25106; 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 B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).

  4. Monthly residential utility costs, by state U.S. 2023

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Monthly residential utility costs, by state U.S. 2023 [Dataset]. https://www.statista.com/statistics/1108684/monthly-utility-costs-usa-state/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    Alaska, Hawaii, and Connecticut were the states with the highest average monthly utility costs in the United States in 2023. Residents paid about ****** U.S. dollars for their electricity bills in Hawaii, while the average monthly bill for natural gas came to *** U.S. dollars. This was significantly higher than in any other state. Bigger homes have higher utility costs Despite regional variations, single-family homes in the United States have grown bigger in size since 1975. This trend also means that, unless homeowners invest in energy savings measures, they will have to pay more for their utility costs. Which are the most affordable states to live in? According to the cost of living index, the three most affordable states to live in are Mississippi, Kansas, and Oklahoma. At the other end of the scale are Hawaii, District of Columbia, and New York. The index is based on housing, utilities, grocery items, transportation, health care, and miscellaneous goods and services. To buy a median priced home in Kansas City, a prospective home buyer will have to earn an annual salary of about ****** U.S. dollars.

  5. U.S. real per capita GDP 2024, by state

    • statista.com
    Updated Nov 19, 2025
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    Statista (2025). U.S. real per capita GDP 2024, 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
    Nov 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    Out of all 50 states, New York had the highest per-capita real gross domestic product (GDP) in 2024, at 92,341 U.S. dollars, followed closely by Massachusetts. Mississippi had the lowest per-capita real GDP, at 41,603 U.S. dollars. While not a state, the District of Columbia had a per capita GDP of more than 210,780 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.

  6. Average senior housing construction costs in the U.S. 2022, by type

    • statista.com
    Updated Sep 14, 2022
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    Statista (2022). Average senior housing construction costs in the U.S. 2022, by type [Dataset]. https://www.statista.com/statistics/1357612/senior-housing-construction-costs-in-the-us-by-type/
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    Dataset updated
    Sep 14, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of 2022, over half of the construction costs of senior housing in the United States came from hard costs such as site work, roofing, and foundation. The overall costs amounted to *** U.S. dollars per square foot. The District of Columbia was one of the U.S. states with the highest rent for assisted living in 2021.

  7. Estimated number of homeless people in the U.S. 2007-2023

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Estimated number of homeless people in the U.S. 2007-2023 [Dataset]. https://www.statista.com/statistics/555795/estimated-number-of-homeless-people-in-the-us/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, there were about ******* homeless people estimated to be living in the United States, the highest number of homeless people recorded within the provided time period. In comparison, the second-highest number of homeless people living in the U.S. within this time period was in 2007, at *******. How is homelessness calculated? Calculating homelessness is complicated for several different reasons. For one, it is challenging to determine how many people are homeless as there is no direct definition for homelessness. Additionally, it is difficult to try and find every single homeless person that exists. Sometimes they cannot be reached, leaving people unaccounted for. In the United States, the Department of Housing and Urban Development calculates the homeless population by counting the number of people on the streets and the number of people in homeless shelters on one night each year. According to this count, Los Angeles City and New York City are the cities with the most homeless people in the United States. Homelessness in the United States Between 2022 and 2023, New Hampshire saw the highest increase in the number of homeless people. However, California was the state with the highest number of homeless people, followed by New York and Florida. The vast amount of homelessness in California is a result of multiple factors, one of them being the extreme high cost of living, as well as opposition to mandatory mental health counseling and drug addiction. However, the District of Columbia had the highest estimated rate of homelessness per 10,000 people in 2023. This was followed by New York, Vermont, and Oregon.

  8. Hourly wages needed to afford a two-bedroom apartment in the U.S. 2025, by...

    • statista.com
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    Statista, Hourly wages needed to afford a two-bedroom apartment in the U.S. 2025, by state [Dataset]. https://www.statista.com/statistics/203384/us-two-bedroom-housing-wage-by-state/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    United States
    Description

    In 2025, households in California needed an hourly wage of over 50 U.S. dollars to afford the rent of a two-bedroom apartment. Hawaii had the second-least affordable two-bedroom apartments, as a household would have to earn at least around 49 U.S. dollars per hour in order to afford rent payments. These figures are considerably higher than the average minimum wage in place in many states. There was no state in which a minimum wageworker could afford rent for the average two-bedroom apartment, if they worked 40 hours a week. Where are the least affordable counties and metros? The least affordable rents were predominately in Californian counties and metropolitan areas in 2025. District of Columbia has the highest minimum wages in the country, which stood at 17.5 U.S. dollars per hour as of January 2025. Thus, the affordability of two-bedroom apartments highlights how disproportionately high housing costs are in the state.

  9. U.S. minimum wage 2024, by state

    • statista.com
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    Statista, U.S. minimum wage 2024, by state [Dataset]. https://www.statista.com/statistics/238997/minimum-wage-by-us-state/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2025
    Area covered
    United States
    Description

    The federally mandated minimum wage in the United States is 7.25 U.S. dollars per hour, although the minimum wage varies from state to state. As of January 1, 2025, the District of Columbia had the highest minimum wage in the U.S., at 17.5 U.S. dollars per hour. This was followed by Washington, which had 16.66 U.S. dollars per hour as the state minimum wage. Minimum wage workers Minimum wage jobs are traditionally seen as “starter jobs” in the U.S., or first jobs for teenagers and young adults, and the number of people working minimum wage jobs has decreased from almost four million in 1979 to about 247,000 in 2020. However, the number of workers earning less than minimum wage in 2020 was significantly higher, at about 865,000. Minimum wage jobs Minimum wage jobs are primarily found in food preparation and serving occupations, as well as sales jobs (primarily in retail). Because the minimum wage has not kept up with inflation, nor has it been increased since 2009, it is becoming harder and harder live off of a minimum wage wage job, and for those workers to afford essential things like rent.

  10. Asking rent for unfurnished apartments in the U.S. 1980-2025

    • statista.com
    Updated Sep 8, 2025
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    Statista (2025). Asking rent for unfurnished apartments in the U.S. 1980-2025 [Dataset]. https://www.statista.com/statistics/200223/median-apartment-rent-in-the-us-since-1980/
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    Dataset updated
    Sep 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The monthly median asking rent for unfurnished apartments in the United States in the first quarter of 2025 amounted to ***** U.S. dollars. This was an increase of about *** U.S. dollars in just five years. In 2020, the median rent stood at ***** U.S. dollars. The U.S. rental market As rental apartment vacancy rates fall, rents are on the rise. This makes it more difficult for Americans to, first, find an apartment to rent, and second, find an apartment which they can afford. Nevertheless, renting has become much more common in recent years, with the number of renter households having substantially increased in the past two decades. In 2025, there were approximately **** million renter households in the U.S. Rents in different states Of course, rents vary from state to state. The most expensive rents are found in Hawaii, California, District of Colombia, New Jersey, and Florida. Following the COVID-19 pandemic, growth was the strongest in the Sun Belt states, and especially in states with lower costs of living, such as Texas. In Austin, TX, the average rent soared by nearly ** percent in 2021, and remained elevated, despite a slight decline in 2023.

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(2024). Estimated Mean Real Household Wages Adjusted by Cost of Living for District of Columbia, DC [Dataset]. https://fred.stlouisfed.org/series/MWACL11001

Estimated Mean Real Household Wages Adjusted by Cost of Living for District of Columbia, DC

MWACL11001

Explore at:
jsonAvailable download formats
Dataset updated
Dec 12, 2024
License

https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

Area covered
Washington, District of Columbia
Description

Graph and download economic data for Estimated Mean Real Household Wages Adjusted by Cost of Living for District of Columbia, DC (MWACL11001) from 2009 to 2023 about DC, Washington, and USA.

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