69 datasets found
  1. Cost of living index in the U.S. 2024, by state

    • statista.com
    Updated May 27, 2025
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    Statista (2025). Cost of living index in the U.S. 2024, by state [Dataset]. https://www.statista.com/statistics/1240947/cost-of-living-index-usa-by-state/
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    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    West Virginia and Kansas had the lowest cost of living across all U.S. states, with composite costs being half of those found in Hawaii. This was according to a composite index that compares prices for various goods and services on a state-by-state basis. In West Virginia, the cost of living index amounted to **** — well below the national benchmark of 100. Virginia— which had an index value of ***** — was only slightly above that benchmark. Expensive places to live included Hawaii, Massachusetts, and California. Housing costs in the U.S. Housing is usually the highest expense in a household’s budget. In 2023, the average house sold for approximately ******* U.S. dollars, but house prices in the Northeast and West regions were significantly higher. Conversely, the South had some of the least expensive housing. In West Virginia, Mississippi, and Louisiana, the median price of the typical single-family home was less than ******* U.S. dollars. That makes living expenses in these states significantly lower than in states such as Hawaii and California, where housing is much pricier. What other expenses affect the cost of living? Utility costs such as electricity, natural gas, water, and internet also influence the cost of living. In Alaska, Hawaii, and Connecticut, the average monthly utility cost exceeded *** U.S. dollars. That was because of the significantly higher prices for electricity and natural gas in these states.

  2. 10 most expensive U.S. states for a room in an assisted living facility 2024...

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). 10 most expensive U.S. states for a room in an assisted living facility 2024 [Dataset]. https://www.statista.com/statistics/310434/most-expensive-annual-cost-private-room-community-assisted-living-facility-by-state/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2024 - Dec 2024
    Area covered
    United States
    Description

    In 2024, the annual cost for a private room in an assisted living facility in the U.S. amounted to ****** U.S. dollars. However, costs varied greatly from one state to another. The most expensive states for a private room in assisted living was found in Hawaii, followed by Alaska and DC.

  3. Annual cost of living in top 10 largest U.S. cities in 2024

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). Annual cost of living in top 10 largest U.S. cities in 2024 [Dataset]. https://www.statista.com/statistics/643471/cost-of-living-in-10-largest-cities-us/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 29, 2024
    Area covered
    United States
    Description

    Of the most populous cities in the U.S., San Jose, California had the highest annual income requirement at ******* U.S. dollars annually for homeowners to have an affordable and comfortable life in 2024. This can be compared to Houston, Texas, where homeowners needed an annual income of ****** U.S. dollars in 2024.

  4. V

    Quality-of-life-by-state

    • data.virginia.gov
    csv
    Updated Apr 17, 2024
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    Datathon 2024 (2024). Quality-of-life-by-state [Dataset]. https://data.virginia.gov/dataset/quality-of-life-by-state
    Explore at:
    csv(1738)Available download formats
    Dataset updated
    Apr 17, 2024
    Dataset authored and provided by
    Datathon 2024
    Description

    Quality of life is a measure of comfort, health, and happiness by a person or a group of people. Quality of life is determined by both material factors, such as income and housing, and broader considerations like health, education, and freedom. Each year, US & World News releases its “Best States to Live in” report, which ranks states on the quality of life each state provides its residents. In order to determine rankings, U.S. News & World Report considers a wide range of factors, including healthcare, education, economy, infrastructure, opportunity, fiscal stability, crime and corrections, and the natural environment. More information on these categories and what is measured in each can be found below:

    Healthcare includes access, quality, and affordability of healthcare, as well as health measurements, such as obesity rates and rates of smoking. Education measures how well public schools perform in terms of testing and graduation rates, as well as tuition costs associated with higher education and college debt load. Economy looks at GDP growth, migration to the state, and new business. Infrastructure includes transportation availability, road quality, communications, and internet access. Opportunity includes poverty rates, cost of living, housing costs and gender and racial equality. Fiscal Stability considers the health of the government's finances, including how well the state balances its budget. Crime and Corrections ranks a state’s public safety and measures prison systems and their populations. Natural Environment looks at the quality of air and water and exposure to pollution.

  5. Typical price of single-family homes in the U.S. 2020-2024, by state

    • statista.com
    • ai-chatbox.pro
    Updated Jun 20, 2025
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    Statista (2025). Typical price of single-family homes in the U.S. 2020-2024, by state [Dataset]. https://www.statista.com/statistics/1041708/typical-home-value-single-family-homes-usa-by-state/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the United States, Hawaii was the state with the most expensive housing, with the typical value of single-family homes in the 35th to 65th percentile range exceeding ******* U.S. dollars. Unsurprisingly, Hawaii also ranked top as the state with the highest cost of living. Meanwhile, a property was the least expensive in West Virginia, where it cost under ******* U.S. dollars to buy the typical single-family home. Single-family home prices increased across most states in the United States between December 2023 and December 2024, except in Louisiana, Florida, and the District of Colombia. According to the Federal Housing Association, house appreciation in 13 states exceeded **** percent in 2023.

  6. 10 least expensive U.S. states for a room in an assisted living facility...

    • ai-chatbox.pro
    • statista.com
    Updated Apr 3, 2025
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    Statista (2025). 10 least expensive U.S. states for a room in an assisted living facility 2024 [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstatistics%2F1493691%2Fleast-expensive-annual-cost-private-room-community-assisted-living-facility-by-state%2F%23XgboD02vawLKoDs%2BT%2BQLIV8B6B4Q9itA
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    Dataset updated
    Apr 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2024 - Dec 2024
    Area covered
    United States
    Description

    In 2024, the annual cost for a private room in an assisted living facility in the U.S. amounted to 70,800 U.S. dollars - the national median price. However, cost varied greatly from one state to another. The least expensive states for a private room in assisted living were South Dakota, and Mississippi. While the most expensive states for assisted living were Hawaii and Alaska.

  7. US Cost of Living Dataset (1877 Counties)

    • kaggle.com
    Updated Feb 17, 2024
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    asaniczka (2024). US Cost of Living Dataset (1877 Counties) [Dataset]. http://doi.org/10.34740/kaggle/ds/3832881
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 17, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    asaniczka
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    United States
    Description

    The US Family Budget Dataset provides insights into the cost of living in different US counties based on the Family Budget Calculator by the Economic Policy Institute (EPI).

    This dataset offers community-specific estimates for ten family types, including one or two adults with zero to four children, in all 1877 counties and metro areas across the United States.

    Interesting Task Ideas:

    1. See how family budgets compare to the federal poverty line and the Supplemental Poverty Measure in different counties.
    2. Look into the money challenges faced by different types of families using the budgets provided.
    3. Find out which counties have the most affordable places to live, food, transportation, healthcare, childcare, and other things people need.
    4. Explore how the average income of families relates to the overall cost of living in different counties.
    5. Investigate how family size affects the estimated budget and find counties where bigger families have higher costs.
    6. Create visuals showing how the cost of living varies across different states and big cities.
    7. Check whether specific counties are affordable for families of different sizes and types.
    8. Use the dataset to compare living standards and economic security in different US counties.

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

    Checkout my other datasets

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    Photo by Alev Takil on Unsplash

  8. Vital Signs: Poverty - Bay Area

    • data.bayareametro.gov
    • open-data-demo.mtc.ca.gov
    application/rdfxml +5
    Updated Jan 8, 2019
    + more versions
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    U.S. Census Bureau (2019). Vital Signs: Poverty - Bay Area [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Poverty-Bay-Area/38fe-vd33
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    csv, application/rssxml, tsv, json, xml, application/rdfxmlAvailable download formats
    Dataset updated
    Jan 8, 2019
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    U.S. Census Bureau
    Area covered
    San Francisco Bay Area
    Description

    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 December 2018

    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 (1980-1990) http://factfinder2.census.gov (2000)

    U.S. Census Bureau: American Community Survey Form C17002 (2006-2017) http://api.census.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. Poverty rates do not include unrelated individuals below 15 years old or people who live in the following: institutionalized group quarters, college dormitories, military barracks, and situations without conventional housing. 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 noncash benefits (such as public housing, Medicaid, and food stamps). For the national poverty level definitions by year, see: https://www.census.gov/hhes/www/poverty/data/threshld/index.html For an explanation on how the Census Bureau measures poverty, see: https://www.census.gov/hhes/www/poverty/about/overview/measure.html

    For the American Community Survey datasets, 1-year data was used for region, county, and metro areas whereas 5-year rolling average data was used for city and census tract.

    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.

  9. Housing Cost Burden

    • data.ca.gov
    • data.chhs.ca.gov
    • +4more
    pdf, xlsx, zip
    Updated Aug 28, 2024
    + more versions
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    California Department of Public Health (2024). Housing Cost Burden [Dataset]. https://data.ca.gov/dataset/housing-cost-burden
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    xlsx, pdf, zipAvailable download formats
    Dataset updated
    Aug 28, 2024
    Dataset authored and provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This table contains data on the percent of households paying more than 30% (or 50%) of monthly household income towards housing costs for California, its regions, counties, cities/towns, and census tracts. Data is from the U.S. Department of Housing and Urban Development (HUD), Consolidated Planning Comprehensive Housing Affordability Strategy (CHAS) and the U.S. Census Bureau, American Community Survey (ACS). The table is part of a series of indicators in the [Healthy Communities Data and Indicators Project of the Office of Health Equity] Affordable, quality housing is central to health, conferring protection from the environment and supporting family life. Housing costs—typically the largest, single expense in a family's budget—also impact decisions that affect health. As housing consumes larger proportions of household income, families have less income for nutrition, health care, transportation, education, etc. Severe cost burdens may induce poverty—which is associated with developmental and behavioral problems in children and accelerated cognitive and physical decline in adults. Low-income families and minority communities are disproportionately affected by the lack of affordable, quality housing. More information about the data table and a data dictionary can be found in the Attachments.

  10. T

    Vital Signs: Poverty - by county (2022)

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Jan 3, 2023
    + more versions
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    (2023). Vital Signs: Poverty - by county (2022) [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Poverty-by-county-2022-/ft5b-u25x
    Explore at:
    csv, json, tsv, application/rdfxml, xml, application/rssxmlAvailable download formats
    Dataset updated
    Jan 3, 2023
    Description

    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.

  11. Cost of living crisis: Most relevant social networks for Gen X in the U.S....

    • statista.com
    Updated Jun 5, 2023
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    Statista (2023). Cost of living crisis: Most relevant social networks for Gen X in the U.S. 2023 [Dataset]. https://www.statista.com/statistics/1384025/cost-of-living-crisis-most-relevant-social-networks-for-gen-x-in-the-us/
    Explore at:
    Dataset updated
    Jun 5, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 19, 2023 - Apr 24, 2023
    Area covered
    United States
    Description

    YouTube and TikTok are the most popular social networks among Generation X for finding helpful content on the cost of living crisis in the United States in 2023. While 56 percent of YouTube users state they find helpful content there, it's 47 percent among TikTok users respectively.

  12. Cost of adult day health care services per day 2024, by state

    • ai-chatbox.pro
    • statista.com
    Updated Apr 3, 2025
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    Statista (2025). Cost of adult day health care services per day 2024, by state [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstatistics%2F310427%2Fmost-expensive-annual-adult-day-health-care-in-us-by-state%2F%23XgboD02vawLYpGJjSPEePEUG%2FVFd%2Bik%3D
    Explore at:
    Dataset updated
    Apr 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2024 - Dec 2024
    Area covered
    United States
    Description

    In 2024, the average daily cost for adult day health care services in the U.S. stood at 100 U.S. dollars. However, such costs varied greatly from one state to another. In that year, the most expensive state for adult day health care services was by far Oregon, amounting to 284 U.S. dollars a day, while in Delaware daily rates were just 35 U.S. dollars. In the most expensive states, the daily cost of adult day care actually exceeded that of assisted living facilities and sometimes even home health care. The large variation may be in part due to the source using community subsidy rates where available, thus lower rates were reported, while states with higher rates may capture the full private pay rates.

  13. Connecticut Heath care cost index

    • hi.knoema.com
    csv, json, sdmx, xls
    Updated Feb 10, 2023
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    Knoema (2023). Connecticut Heath care cost index [Dataset]. https://hi.knoema.com/atlas/united-states-of-america/connecticut/topics/income-and-welfare/cost-of-living/heath-care-cost-index
    Explore at:
    xls, sdmx, json, csvAvailable download formats
    Dataset updated
    Feb 10, 2023
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    Jan 1, 2019 - Jul 1, 2022
    Area covered
    Connecticut
    Variables measured
    Heath care cost index
    Description

    108.1 (Index, higher means higher cost of living) in 2022Q3.

  14. F

    Homeownership Rate in the United States

    • fred.stlouisfed.org
    json
    Updated Apr 28, 2025
    + more versions
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    (2025). Homeownership Rate in the United States [Dataset]. https://fred.stlouisfed.org/series/RHORUSQ156N
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 28, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Homeownership Rate in the United States (RHORUSQ156N) from Q1 1965 to Q1 2025 about homeownership, housing, rate, and USA.

  15. U.S. adults on the most important problem facing the country December 2024

    • ai-chatbox.pro
    • statista.com
    Updated May 30, 2025
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    Statista Research Department (2025). U.S. adults on the most important problem facing the country December 2024 [Dataset]. https://www.ai-chatbox.pro/?_=%2Ftopics%2F9225%2Funemployment-worldwide%2F%23XgboD02vawLYpGJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    May 30, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    In December 2024, 11 percent of survey respondents said that the most important problem facing the United States was the high cost of living and inflation. Another 20percent said that the government and poor leadership was the most serious concern for the nation.

  16. Best states to make a living in the U.S. 2019

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Best states to make a living in the U.S. 2019 [Dataset]. https://www.statista.com/statistics/226377/most-affordable-states-in-the-us/
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    United States
    Description

    This statistic shows the best states to make living in the United States in 2019. In 2019, Wyoming was ranked as the best state to make a living in the United States, with the cost of living index at **** value and the median income of ****** U.S. dollars.

  17. T

    Vital Signs: Poverty - by city (2022)

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Jan 3, 2023
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    (2023). Vital Signs: Poverty - by city (2022) [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Poverty-by-city-2022-/qgxa-b4zm
    Explore at:
    tsv, csv, application/rssxml, xml, json, application/rdfxmlAvailable download formats
    Dataset updated
    Jan 3, 2023
    Description

    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.

  18. U.S. top political issues for young voters 2023

    • ai-chatbox.pro
    • statista.com
    Updated Jan 15, 2021
    + more versions
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    Abigail Tierney (2021). U.S. top political issues for young voters 2023 [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstudy%2F172975%2Factivism-in-the-united-states%2F%23XgboD02vawLKoDs%2BT%2BQLIV8B6B4Q9itA
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    Dataset updated
    Jan 15, 2021
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Abigail Tierney
    Area covered
    United States
    Description

    According to a 2023 survey, young adults in the United States were divided when it came to important political issues. However, more than half of Americans between 18 and 34 considered the cost of living and inflation the most important political issue.

  19. U.S. value added to GDP by services sector 2023, by industry

    • ai-chatbox.pro
    • statista.com
    Updated Feb 10, 2025
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    Abigail Tierney (2025). U.S. value added to GDP by services sector 2023, by industry [Dataset]. https://www.ai-chatbox.pro/?_=%2Ftopics%2F772%2Fgdp%2F%23XgboDwS6a1rKoGJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    Feb 10, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Abigail Tierney
    Description

    Among the service sector in the United States, the real estate, rental and leasing industry added the most value to the GDP in 2023. In that year, this industry added 3.67 trillion U.S. dollars to the national GDP. Gross domestic product is a measure of how much a country produces in a certain amount of time. Countries with a high GDP tend to have large economies, for example, the United States. However, GDP does not take into consideration the cost of living and inflation rates, so it cannot be used to calculate the standard of living. The annual GDP of the United States since 1990 can be accessed here.

  20. Manufactured Housing Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Dec 3, 2024
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    Dataintelo (2024). Manufactured Housing Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/manufactured-housing-market
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    pdf, pptx, csvAvailable download formats
    Dataset updated
    Dec 3, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Manufactured Housing Market Outlook



    The global manufactured housing market size was valued at approximately USD 30 billion in 2023, and it is projected to reach an estimated USD 45 billion by 2032, growing at a compound annual growth rate (CAGR) of 4.7% during the forecast period. The growth of the manufactured housing market can be attributed to the rising demand for affordable housing solutions worldwide, driven by increasing urbanization and population growth, along with technological advancements in manufacturing processes that enhance the quality and design of prefabricated homes.



    One of the primary growth drivers for the manufactured housing market is the affordability factor. In a world where housing prices are steadily climbing, manufactured homes offer a cost-effective alternative without compromising on quality and comfort. As more people seek economical housing solutions, particularly in regions where real estate costs are prohibitively high, the demand for manufactured homes is expected to rise. Furthermore, manufactured homes provide flexibility in terms of location and customization, which appeals to a broad demographic, including millennials and retirees who are looking for both cost savings and modern conveniences.



    Another significant growth factor is the evolution of construction technologies and materials used in manufactured housing. Advances in materials science and engineering have led to the development of new, durable, and sustainable building materials. These materials not only improve the longevity and resilience of manufactured homes but also enhance their energy efficiency, making them more environmentally friendly. This shift towards sustainable living is further fueled by government incentives and policies advocating for green building practices, making manufactured homes an attractive option for eco-conscious consumers.



    The changing regulatory landscape also plays a crucial role in the growth of the manufactured housing market. Governments across various regions are recognizing the importance of manufactured housing in addressing housing shortages and are implementing supportive regulations to facilitate their development. For instance, zoning laws are being updated to accommodate manufactured homes in more areas, and financial products such as favorable loan conditions are being tailored to support buyers of manufactured housing. These regulatory changes are instrumental in legitimizing and expanding the market, offering new opportunities for both consumers and manufacturers.



    Regionally, North America is a key market for manufactured housing, driven by the high demand for affordable housing solutions in the United States. The Asia Pacific region is expected to witness significant growth due to rapid urbanization and population growth in countries such as China and India. Europe presents opportunities for market expansion, supported by increasing interest in sustainable living solutions. However, the market faces challenges in the Middle East & Africa, where cultural and climatic conditions may limit the adoption of manufactured housing. Despite these challenges, the overall regional outlook for manufactured housing remains positive, fueled by global trends towards affordable and sustainable housing solutions.



    Type Analysis



    The manufactured housing market is segmented into single-section and multi-section types, each offering unique benefits that cater to different consumer needs. Single-section manufactured homes are typically smaller and more affordable, making them an ideal choice for individuals or small families seeking cost-effective housing solutions. These homes are often chosen by first-time homebuyers and retirees who prioritize affordability and simplicity. The compact design of single-section homes allows for easy transportation and installation, which further reduces costs and time associated with home setup. Their popularity is especially notable in regions where land prices are high, and consumers look for budget-friendly housing options without compromising on essential amenities.



    On the other hand, multi-section manufactured homes offer more space and customization options, appealing to larger families or those seeking more luxurious living arrangements. These homes can be configured to include multiple bedrooms, spacious living areas, and additional features such as porches or garages. The flexibility in design and layout makes multi-section homes attractive to consumers who wish to personalize their homes to suit individual preferences and lifestyle needs. As consumer expectations for home quality and aesthetics

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Statista (2025). Cost of living index in the U.S. 2024, by state [Dataset]. https://www.statista.com/statistics/1240947/cost-of-living-index-usa-by-state/
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Cost of living index in the U.S. 2024, by state

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2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
May 27, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2024
Area covered
United States
Description

West Virginia and Kansas had the lowest cost of living across all U.S. states, with composite costs being half of those found in Hawaii. This was according to a composite index that compares prices for various goods and services on a state-by-state basis. In West Virginia, the cost of living index amounted to **** — well below the national benchmark of 100. Virginia— which had an index value of ***** — was only slightly above that benchmark. Expensive places to live included Hawaii, Massachusetts, and California. Housing costs in the U.S. Housing is usually the highest expense in a household’s budget. In 2023, the average house sold for approximately ******* U.S. dollars, but house prices in the Northeast and West regions were significantly higher. Conversely, the South had some of the least expensive housing. In West Virginia, Mississippi, and Louisiana, the median price of the typical single-family home was less than ******* U.S. dollars. That makes living expenses in these states significantly lower than in states such as Hawaii and California, where housing is much pricier. What other expenses affect the cost of living? Utility costs such as electricity, natural gas, water, and internet also influence the cost of living. In Alaska, Hawaii, and Connecticut, the average monthly utility cost exceeded *** U.S. dollars. That was because of the significantly higher prices for electricity and natural gas in these states.

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