100+ 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. G

    Cost of living in North America | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated May 28, 2021
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    Globalen LLC (2021). Cost of living in North America | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/cost_of_living_wb/North-America/
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    xml, excel, csvAvailable download formats
    Dataset updated
    May 28, 2021
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 2017 - Dec 31, 2021
    Area covered
    World, North America
    Description

    The average for 2021 based on 20 countries was 97.17 index points. The highest value was in Bermuda: 212.7 index points and the lowest value was in Nicaragua: 49.42 index points. The indicator is available from 2017 to 2021. Below is a chart for all countries where data are available.

  3. Data from: Cost of Living Index for the American States, 1960-2003

    • icpsr.umich.edu
    Updated Mar 15, 2005
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    Berry, William D.; Fording, Richard C.; Hanson, Russell L. (2005). Cost of Living Index for the American States, 1960-2003 [Dataset]. http://doi.org/10.3886/ICPSR01275.v1
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    Dataset updated
    Mar 15, 2005
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Berry, William D.; Fording, Richard C.; Hanson, Russell L.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/1275/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/1275/terms

    Time period covered
    1960 - 2003
    Area covered
    United States
    Description

    The authors constructed a state cost of living index for the 48 continental United States, measured annually for the period 1960 through 2003 (to update an index for 1960-1995 introduced in the authors' May 2000 Journal of Politics article).

  4. F

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

    • fred.stlouisfed.org
    json
    Updated Dec 12, 2024
    + more versions
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    (2024). Estimated Mean Real Household Wages Adjusted by Cost of Living for York County, ME [Dataset]. https://fred.stlouisfed.org/series/MWACL23031
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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
    York County, Maine
    Description

    Graph and download economic data for Estimated Mean Real Household Wages Adjusted by Cost of Living for York County, ME (MWACL23031) from 2009 to 2023 about York County, ME; Portland; ME; adjusted; average; wages; real; and USA.

  5. Most relevant social networks for cost of living crisis in the U.S. 2023

    • statista.com
    Updated Jun 5, 2023
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    Statista (2023). Most relevant social networks for cost of living crisis in the U.S. 2023 [Dataset]. https://www.statista.com/statistics/1381959/most-relevant-social-networks-for-cost-of-living-crisis-in-the-us/
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    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

    The cost of living is spiraling. Prices are going up, household expenses are rising, and the U.S. inflation rate reached a 40-year record high in 2023. Many consumers are looking for new ways to deal with this situation and refer to social media for support. So, which social media platforms have the most helpful content to deal with the current cost of living crisis in the U.S.? According to an exclusive survey by We Are Social and Statista Q, around 61 percent of TikTok users in the United States find helpful content there. Coming on number second is YouTube, as 56 percent of YouTube users find life hacks, tricks, money saving tips and other suitable advice to deal with inflation in 2023.

  6. Data from: Cost of Living in the United States, 1917-1919

    • icpsr.umich.edu
    ascii, sas, spss
    Updated Feb 16, 1992
    + more versions
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    United States Department of Labor. Bureau of Labor Statistics (1992). Cost of Living in the United States, 1917-1919 [Dataset]. http://doi.org/10.3886/ICPSR08299.v5
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    ascii, sas, spssAvailable download formats
    Dataset updated
    Feb 16, 1992
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States Department of Labor. Bureau of Labor Statistics
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/8299/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/8299/terms

    Time period covered
    1917 - 1919
    Area covered
    United States
    Description

    This collection contains data obtained from families of wage earners or salaried workers in industrial locales scattered throughout the United States. The purpose of the survey was to estimate the cost of living of a "typical" American family. The completed questionnaires contain information about income sources and family expenditures including specific quantities and costs of food, housing, clothing, fuel, furniture, and miscellaneous household items for the calendar year. Demographic characteristics recorded for each household member include relationship to head, age, sex, occupation, weeks spent in the household and employed, wage rate, and total earnings.

  7. Living standards of young adults and their parents at the same age in the...

    • statista.com
    Updated Feb 9, 2012
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    Statista (2012). Living standards of young adults and their parents at the same age in the U.S. [Dataset]. https://www.statista.com/statistics/217911/living-standards-of-young-adults-and-their-parents-in-the-us/
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    Dataset updated
    Feb 9, 2012
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 6, 2011 - Dec 19, 2011
    Area covered
    United States
    Description

    This statistic shows the results of a survey among young adults in the United States on how they rank their own living standards compared to those of their parents at the same age. ** percent think their own living standards nowadays are better than those of their parents when they were the same age.

  8. d

    Conterminous U.S. mapping of household income at the block group scale...

    • catalog.data.gov
    • data.usgs.gov
    • +3more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Conterminous U.S. mapping of household income at the block group scale adjusted for cost-of-living for the period 2013-2014 [Dataset]. https://catalog.data.gov/dataset/conterminous-u-s-mapping-of-household-income-at-the-block-group-scale-adjusted-for-co-2013
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Contiguous United States, United States
    Description

    Household income is a potential predictor for a number of environmental influences, for example, application of urban pesticides. This product is a U.S. conterminous mapping of block group income derived from the 2010-2014 Census American Community Survey (ACS), adjusted by a 2013 county-level Cost-of-Living index obtained from the Council for Community and Economic Research. The resultant raster is provided at 200-m spatial resolution, in units of adjusted household income in thousands of dollars per year.

  9. 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
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    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.

  10. F

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

    • fred.stlouisfed.org
    json
    Updated Dec 12, 2024
    + more versions
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    (2024). Estimated Mean Real Household Wages Adjusted by Cost of Living for Lake County, FL [Dataset]. https://fred.stlouisfed.org/series/MWACL12069
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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
    Lake County, Florida
    Description

    Graph and download economic data for Estimated Mean Real Household Wages Adjusted by Cost of Living for Lake County, FL (MWACL12069) from 2009 to 2023 about Lake County, FL; Orlando; adjusted; average; FL; wages; real; and USA.

  11. G

    Cost of living in South America | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated May 28, 2021
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    Globalen LLC (2021). Cost of living in South America | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/cost_of_living_wb/South-America/
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    csv, excel, xmlAvailable download formats
    Dataset updated
    May 28, 2021
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 2017 - Dec 31, 2021
    Area covered
    World, South America, Americas
    Description

    The average for 2021 based on 11 countries was 67.5 index points. The highest value was in Uruguay: 100.24 index points and the lowest value was in Suriname: 43.15 index points. The indicator is available from 2017 to 2021. Below is a chart for all countries where data are available.

  12. 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/
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    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.

  13. Consumer reactions to the cost of living crisis in the U.S. 2023

    • statista.com
    Updated Jun 5, 2023
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    Statista (2023). Consumer reactions to the cost of living crisis in the U.S. 2023 [Dataset]. https://www.statista.com/statistics/1384081/consumer-reactions-to-the-cost-of-living-crisis-in-the-us/
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    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

    Around 64 percent of U.S. consumers spend less on non-essentials amidst the ongoing cost of living crisis in 2023. This is according to a survey conducted by We are Social and Statista Q, which shows that rising inflation rates have caused around a similar percentage of customers to pay more attention to bargains, good deals, or offers (when going shopping). Furthermore, around 39 percent of U.S. consumers do not go out for dinner/lunch anymore to deal with the situation.

  14. F

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

    • fred.stlouisfed.org
    json
    Updated Dec 12, 2024
    + more versions
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    (2024). Estimated Mean Real Household Wages Adjusted by Cost of Living for St. Louis County, MN [Dataset]. https://fred.stlouisfed.org/series/MWACL27137
    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
    St. Louis County, Minnesota
    Description

    Graph and download economic data for Estimated Mean Real Household Wages Adjusted by Cost of Living for St. Louis County, MN (MWACL27137) from 2009 to 2023 about St. Louis County, MN; Duluth; adjusted; MN; average; wages; real; and USA.

  15. H

    Replication Data for: The Fading American Dream: Trends in Absolute Income...

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Feb 23, 2022
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    Raj Chetty; David Grusky; Maximilian Hell; Nathaniel Hendren; Robert Manduca; Jimmy Narang (2022). Replication Data for: The Fading American Dream: Trends in Absolute Income Mobility Since 1940 [Dataset]. http://doi.org/10.7910/DVN/B9TEWM
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 23, 2022
    Dataset provided by
    Harvard Dataverse
    Authors
    Raj Chetty; David Grusky; Maximilian Hell; Nathaniel Hendren; Robert Manduca; Jimmy Narang
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/B9TEWMhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/B9TEWM

    Description

    This dataset contains replication files for "The Fading American Dream: Trends in Absolute Income Mobility Since 1940" by Raj Chetty, David Grusky, Maximilian Hell, Nathaniel Hendren, Robert Manduca, and Jimmy Narang. For more information, see https://opportunityinsights.org/paper/the-fading-american-dream/. A summary of the related publication follows. One of the defining features of the “American Dream” is the ideal that children have a higher standard of living than their parents. We assess whether the U.S. is living up to this ideal by estimating rates of “absolute income mobility” – the fraction of children who earn more than their parents – since 1940. We measure absolute mobility by comparing children’s household incomes at age 30 (adjusted for inflation using the Consumer Price Index) with their parents’ household incomes at age 30. We find that rates of absolute mobility have fallen from approximately 90% for children born in 1940 to 50% for children born in the 1980s. Absolute income mobility has fallen across the entire income distribution, with the largest declines for families in the middle class. These findings are unaffected by using alternative price indices to adjust for inflation, accounting for taxes and transfers, measuring income at later ages, and adjusting for changes in household size. Absolute mobility fell in all 50 states, although the rate of decline varied, with the largest declines concentrated in states in the industrial Midwest, such as Michigan and Illinois. The decline in absolute mobility is especially steep – from 95% for children born in 1940 to 41% for children born in 1984 – when we compare the sons’ earnings to their fathers’ earnings. Why have rates of upward income mobility fallen so sharply over the past half-century? There have been two important trends that have affected the incomes of children born in the 1980s relative to those born in the 1940s and 1950s: lower Gross Domestic Product (GDP) growth rates and greater inequality in the distribution of growth. We find that most of the decline in absolute mobility is driven by the more unequal distribution of economic growth rather than the slowdown in aggregate growth rates. When we simulate an economy that restores GDP growth to the levels experienced in the 1940s and 1950s but distributes that growth across income groups as it is distributed today, absolute mobility only increases to 62%. In contrast, maintaining GDP at its current level but distributing it more broadly across income groups – at it was distributed for children born in the 1940s – would increase absolute mobility to 80%, thereby reversing more than two-thirds of the decline in absolute mobility. These findings show that higher growth rates alone are insufficient to restore absolute mobility to the levels experienced in mid-century America. Under the current distribution of GDP, we would need real GDP growth rates above 6% per year to return to rates of absolute mobility in the 1940s. Intuitively, because a large fraction of GDP goes to a small fraction of high-income households today, higher GDP growth does not substantially increase the number of children who earn more than their parents. Of course, this does not mean that GDP growth does not matter: changing the distribution of growth naturally has smaller effects on absolute mobility when there is very little growth to be distributed. The key point is that increasing absolute mobility substantially would require more broad-based economic growth. We conclude that absolute mobility has declined sharply in America over the past half-century primarily because of the growth in inequality. If one wants to revive the “American Dream” of high rates of absolute mobility, one must have an interest in growth that is shared more broadly across the income distribution.

  16. 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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  17. 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.

  18. Impact of the cost of living crisis on consumers in the U.S. 2023

    • statista.com
    Updated Jun 5, 2023
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    Statista (2023). Impact of the cost of living crisis on consumers in the U.S. 2023 [Dataset]. https://www.statista.com/statistics/1384058/impact-of-the-cost-of-living-crisis-on-consumers-in-the-us/
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    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

    According to an April 2023 survey by We Are Social and Statista Q, 40 percent of U.S. consumers feel highly affected by the ongoing cost of living crisis, whereas only 6 percent don't feel affected at all.

  19. F

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

    • fred.stlouisfed.org
    json
    Updated Dec 12, 2024
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    (2024). Estimated Mean Real Household Wages Adjusted by Cost of Living for Denver County, CO [Dataset]. https://fred.stlouisfed.org/series/MWACL08031
    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
    Colorado, Denver County, Denver
    Description

    Graph and download economic data for Estimated Mean Real Household Wages Adjusted by Cost of Living for Denver County, CO (MWACL08031) from 2009 to 2023 about Denver County, CO; Denver; adjusted; CO; average; wages; real; and USA.

  20. Cheapest and most expensive countries to live in Latin America 2023

    • statista.com
    • ai-chatbox.pro
    Updated Jul 5, 2024
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    Statista (2024). Cheapest and most expensive countries to live in Latin America 2023 [Dataset]. https://www.statista.com/statistics/1375636/cheapest-most-expensive-countries-latin-america/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2023
    Area covered
    Latin America, Americas, LAC
    Description

    According to a recent study, Colombia had the lowest monthly cost of living in Latin America with 546 U.S. dollars needed for basic living. In contrast, four countries had a cost of living above one thousand dollars, Costa Rica, Chile, Panama and Uruguay. In 2022, the highest minimum wage in the region was recorded by Ecuador with 425 dollars per month.

    Can Latin Americans survive on a minimum wage? Even if most countries in Latin America have instated laws to guarantee citizens a basic income, these minimum standards are often not enough to meet household needs. For instance, it was estimated that almost 22 million people in Mexico lacked basic housing services. Salary levels also vary greatly among Latin American economies. In 2022, the average net monthly salary in Brazil was lower than Ecuador's minimum wage.

    What can a minimum wage afford in Latin America? Latin American real wages have generally risen in the past decade. However, consumers in this region still struggle to afford non-basic goods, such as tech products. Recent estimates reveal that, in order to buy an iPhone, Brazilian residents would have to work more than two months to be able to pay for it. A gaming console, on the other hand, could easily cost a Latin American worker several minimum wages.

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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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