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/
    Explore at:
    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. Consumer Sentiment Index in the U.S. 2012-2025

    • statista.com
    Updated Mar 13, 2025
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    Statista Research Department (2025). Consumer Sentiment Index in the U.S. 2012-2025 [Dataset]. https://www.statista.com/topics/768/cost-of-living/
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    Dataset updated
    Mar 13, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    The Consumer Sentiment Index in the United States stood at 51 in November 2025. This reflected a drop of 2.6 point from the previous survey. Furthermore, this was its lowest level measured since June 2022. The index is normalized to a value of 100 in December 1964 and based on a monthly survey of consumers, conducted in the continental United States. It consists of about 50 core questions which cover consumers' assessments of their personal financial situation, their buying attitudes and overall economic conditions.

  3. U.S. consumer price index: medical professional and hospital services...

    • statista.com
    Updated Mar 13, 2025
    + more versions
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    Statista Research Department (2025). U.S. consumer price index: medical professional and hospital services 1970-2025 [Dataset]. https://www.statista.com/topics/768/cost-of-living/
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    Dataset updated
    Mar 13, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    In 2025, the Consumer Price Index (CPI) for medical professional services in the United States was at 432.46, compared to the period from 1982 to 1984 (=100). The CPI for hospital services was at 1,102.12.

  4. US Cost of Living Dataset (1877 Counties)

    • kaggle.com
    zip
    Updated Feb 17, 2024
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    asaniczka (2024). US Cost of Living Dataset (1877 Counties) [Dataset]. https://www.kaggle.com/datasets/asaniczka/us-cost-of-living-dataset-3171-counties
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    zip(1282159 bytes)Available download formats
    Dataset updated
    Feb 17, 2024
    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

  5. V

    Quality of life measure - by state

    • data.virginia.gov
    csv
    Updated Oct 23, 2025
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    Datathon 2024 (2025). Quality of life measure - by state [Dataset]. https://data.virginia.gov/dataset/quality-of-life-by-state
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    csv(1738)Available download formats
    Dataset updated
    Oct 23, 2025
    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.

  6. Comparison of Worldwide Cost of Living 2020

    • kaggle.com
    zip
    Updated Nov 3, 2021
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    serdar altan (2021). Comparison of Worldwide Cost of Living 2020 [Dataset]. https://www.kaggle.com/datasets/hserdaraltan/comparison-of-worldwide-cost-of-living-2020
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    zip(17638 bytes)Available download formats
    Dataset updated
    Nov 3, 2021
    Authors
    serdar altan
    License

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

    Description

    "Cost of living and purchasing power related to average income

    We adjusted the average cost of living inside the USA (based on 2021 and 2022) to an index of 100. All other countries are related to this index. Therefore with an index of e.g. 80, the usual expenses in another country are 20% less then in the United States.

    The monthly income (please do not confuse this with a wage or salary) is calculated from the gross national income per capita.

    The calculated purchasing power index is again based on a value of 100 for the United States. If it is higher, people can afford more based on the cost of living in relation to income. If it is lower, the population is less wealthy.

    The example of Switzerland: With a cost of living index of 142 all goods are on average about 42% more expensive than in the USA. But the average income in Switzerland of 7,550 USD is also 28% higher, which means that citizens can also afford more goods. Now you calculate the 42% higher costs against the 28% higher income. In the result, people in Switzerland can afford about 10 percent less than a US citizen."

    Source: https://www.worlddata.info/cost-of-living.php

  7. d

    Living Wage

    • catalog.data.gov
    • s.cnmilf.com
    Updated Nov 23, 2025
    + more versions
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    California Department of Public Health (2025). Living Wage [Dataset]. https://catalog.data.gov/dataset/living-wage-72c58
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    Dataset updated
    Nov 23, 2025
    Dataset provided by
    California Department of Public Health
    Description

    This table contains data on the living wage and the percent of families with incomes below the living wage for California, its counties, regions and cities/towns. Living wage is the wage needed to cover basic family expenses (basic needs budget) plus all relevant taxes; it does not include publicly provided income or housing assistance. The percent of families below the living wage was calculated using data from the Living Wage Calculator and the U.S. Census Bureau, American Community Survey. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. The living wage is the wage or annual income that covers the cost of the bare necessities of life for a worker and his/her family. These necessities include housing, transportation, food, childcare, health care, and payment of taxes. Low income populations and non-white race/ethnic have disproportionately lower wages, poorer housing, and higher levels of food insecurity. More information about the data table and a data dictionary can be found in the About/Attachments section.

  8. d

    ACCRA Cost of Living Index - Historical Dataset (1Q1990-2009)

    • dataone.org
    • dataverse.harvard.edu
    • +1more
    Updated Oct 28, 2025
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    American Chamber of Commerce Reseachers Association; Council for Community and Economic Research (2025). ACCRA Cost of Living Index - Historical Dataset (1Q1990-2009) [Dataset]. http://doi.org/10.7910/DVN/YJCLHR
    Explore at:
    Dataset updated
    Oct 28, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    American Chamber of Commerce Reseachers Association; Council for Community and Economic Research
    Description

    The ACCRA Cost of Living Index (COLI) is a measure of living cost differences among urban areas compiled by the Council for Community and Economic Research. Conducted quarterly, the index compares the price of goods and services among approximately 300 communities in the United States and Canada. This Microsoft Excel file contains the average prices of goods and services published in the ACCRA Cost of Living Index since 1990.

  9. a

    Location Affordability Index

    • hub.arcgis.com
    • hub-lincolninstitute.hub.arcgis.com
    • +6more
    Updated May 10, 2022
    + more versions
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    New Mexico Community Data Collaborative (2022). Location Affordability Index [Dataset]. https://hub.arcgis.com/maps/447a461f048845979f30a2478b9e65bb
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    Dataset updated
    May 10, 2022
    Dataset authored and provided by
    New Mexico Community Data Collaborative
    Area covered
    Description

    There is more to housing affordability than the rent or mortgage you pay. Transportation costs are the second-biggest budget item for most families, but it can be difficult for people to fully factor transportation costs into decisions about where to live and work. The Location Affordability Index (LAI) is a user-friendly source of standardized data at the neighborhood (census tract) level on combined housing and transportation costs to help consumers, policymakers, and developers make more informed decisions about where to live, work, and invest. Compare eight household profiles (see table below) —which vary by household income, size, and number of commuters—and see the impact of the built environment on affordability in a given location while holding household demographics constant.*$11,880 for a single person household in 2016 according to US Dept. of Health and Human Services: https://aspe.hhs.gov/computations-2016-poverty-guidelinesThis layer is symbolized by the percentage of housing and transportation costs as a percentage of income for the Median-Income Family profile, but the costs as a percentage of income for all household profiles are listed in the pop-up:Also available is a gallery of 8 web maps (one for each household profile) all symbolized the same way for easy comparison: Median-Income Family, Very Low-Income Individual, Working Individual, Single Professional, Retired Couple, Single-Parent Family, Moderate-Income Family, and Dual-Professional Family.An accompanying story map provides side-by-side comparisons and additional context.--Variables used in HUD's calculations include 24 measures such as people per household, average number of rooms per housing unit, monthly housing costs (mortgage/rent as well as utility and maintenance expenses), average number of cars per household, median commute distance, vehicle miles traveled per year, percent of trips taken on transit, street connectivity and walkability (measured by block density), and many more.To learn more about the Location Affordability Index (v.3) visit: https://www.hudexchange.info/programs/location-affordability-index/. There you will find some background and an FAQ page, which includes the question:"Manhattan, San Francisco, and downtown Boston are some of the most expensive places to live in the country, yet the LAI shows them as affordable for the typical regional household. Why?" These areas have some of the lowest transportation costs in the country, which helps offset the high cost of housing. The area median income (AMI) in these regions is also high, so when costs are shown as a percent of income for the typical regional household these neighborhoods appear affordable; however, they are generally unaffordable to households earning less than the AMI.Date of Coverage: 2012-2016 Date Released: March 2019Date Downloaded from HUD Open Data: 4/18/19Further Documentation:LAI Version 3 Data and MethodologyLAI Version 3 Technical Documentation_**The documentation below is in reference to this items placement in the NM Supply Chain Data Hub. The documentation is of use to understanding the source of this item, and how to reproduce it for updates**

    Title: Location Affordability Index - NMCDC Copy

    Summary: This layer contains the Location Affordability Index from U.S. Dept. of Housing and Urban Development (HUD) - standardized household, housing, and transportation cost estimates by census tract for 8 household profiles.

    Notes: This map is copied from source map: https://nmcdc.maps.arcgis.com/home/item.html?id=de341c1338c5447da400c4e8c51ae1f6, created by dianaclavery_uo, and identified in Living Atlas.

    Prepared by: dianaclavery_uo, copied by EMcRae_NMCDC

    Source: This map is copied from source map: https://nmcdc.maps.arcgis.com/home/item.html?id=de341c1338c5447da400c4e8c51ae1f6, created by dianaclavery_uo, and identified in Living Atlas. Check the source documentation or other details above for more information about data sources.

    Feature Service: https://nmcdc.maps.arcgis.com/home/item.html?id=447a461f048845979f30a2478b9e65bb

    UID: 73

    Data Requested: Family income spent on basic need

    Method of Acquisition: Search for Location Affordability Index in the Living Atlas. Make a copy of most recent map available. To update this map, copy the most recent map available. In a new tab, open the AGOL Assistant Portal tool and use the functions in the portal to copy the new maps JSON, and paste it over the old map (this map with item id

    Date Acquired: Map copied on May 10, 2022

    Priority rank as Identified in 2022 (scale of 1 being the highest priority, to 11 being the lowest priority): 6

    Tags: PENDING

  10. Replication dataset and calculations for PIIE PB 17-16, The Payoff to...

    • piie.com
    Updated May 8, 2017
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    Gary Clyde Hufbauer; Zhiyao (Lucy) Lu (2017). Replication dataset and calculations for PIIE PB 17-16, The Payoff to America from Globalization: A Fresh Look with a Focus on Costs to Workers, by Gary Clyde Hufbauer and Zhihao (Lucy) Lu. (2017). [Dataset]. https://www.piie.com/publications/policy-briefs/payoff-america-globalization-fresh-look-focus-costs-workers
    Explore at:
    Dataset updated
    May 8, 2017
    Dataset provided by
    Peterson Institute for International Economicshttp://www.piie.com/
    Authors
    Gary Clyde Hufbauer; Zhiyao (Lucy) Lu
    Area covered
    United States
    Description

    This data package includes the underlying data and files to replicate the calculations, charts, and tables presented in The Payoff to America from Globalization: A Fresh Look with a Focus on Costs to Workers, PIIE Policy Brief 17-16. If you use the data, please cite as: Hufbauer, Gary Clyde, and Zhihao (Lucy) Lu. (2017). The Payoff to America from Globalization: A Fresh Look with a Focus on Costs to Workers. PIIE Policy Brief 17-16. Peterson Institute for International Economics.

  11. a

    Senior living costs in Young America vs. state and national costs

    • aplaceformom.com
    html
    Updated Oct 24, 2025
    + more versions
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    (2025). Senior living costs in Young America vs. state and national costs [Dataset]. http://www.aplaceformom.com/care-homes/wisconsin/young-america
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    htmlAvailable download formats
    Dataset updated
    Oct 24, 2025
    Area covered
    United States
    Description

    Cost comparison table showing community type costs by location

  12. F

    Expenses for Assisted Living Facilities for The Elderly, All Establishments,...

    • fred.stlouisfed.org
    json
    Updated Jan 31, 2024
    + more versions
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    (2024). Expenses for Assisted Living Facilities for The Elderly, All Establishments, Employer Firms [Dataset]. https://fred.stlouisfed.org/series/ALFFTEEAEEF3623312
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    jsonAvailable download formats
    Dataset updated
    Jan 31, 2024
    License

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

    Description

    Graph and download economic data for Expenses for Assisted Living Facilities for The Elderly, All Establishments, Employer Firms (ALFFTEEAEEF3623312) from 2013 to 2022 about elderly, assistance, employer firms, establishments, expenditures, and USA.

  13. a

    Senior living costs in America vs. state and national costs

    • aplaceformom.com
    html
    Updated Nov 11, 2025
    + more versions
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    (2025). Senior living costs in America vs. state and national costs [Dataset]. https://www.aplaceformom.com/nursing-homes/illinois/america
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    htmlAvailable download formats
    Dataset updated
    Nov 11, 2025
    Area covered
    United States
    Description

    Cost comparison table showing community type costs by location

  14. g

    Wirtschaftspolitische Fragen (Form A)

    • search.gesis.org
    • da-ra.de
    Updated Apr 13, 2010
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    USIA, Washington; DIVO, Frankfurt (2010). Wirtschaftspolitische Fragen (Form A) [Dataset]. http://doi.org/10.4232/1.0449
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    application/x-spss-sav(226586), application/x-spss-por(415084), application/x-stata-dta(229149)Available download formats
    Dataset updated
    Apr 13, 2010
    Dataset provided by
    GESIS search
    GESIS Data Archive
    Authors
    USIA, Washington; DIVO, Frankfurt
    License

    https://www.gesis.org/en/institute/data-usage-termshttps://www.gesis.org/en/institute/data-usage-terms

    Variables measured
    v1 -, v2 -, v3 -, v4 -, v5 -, v6 -, v7 -, v8 -, v9 -, v10 -, and 118 more
    Description

    Judgement on economic and social conditions in the USA in comparison to the FRG.

    Topics: Development of personal economic conditions and the standard of living in the FRG; reasons for the so-called economic miracle and share of the USA in the economic recovery; perceived linking of German economic development with other countries; attitude to a European Common Market; reasons for the high American standard of living; comparison between the USA and the FRG regarding working conditions, productivity, social security and job security of workers; image of Americans; knowledge of economic data of the USA; investment inclination; attitude to the competitive economy; assumed ownership of various branches of the economy in the FRG and in the USA, differences according to government and private; expected influence of the American government on the economy and vice versa; estimated proportion of members of the middle classes; image of American agriculture; judgement on the ideological influence of the USA on the FRG; sources of information about America; membership in clubs and organizations and offices taken on; party preference; self-assessment of social class; local residency.

    Demography: age (classified); marital status; religious denomination; school education; occupation; employment; household income; state; refugee status.

    Interviewer rating: social class and willingness of respondent to cooperate; number of contact attempts.

    Also encoded were: age of interviewer and sex of interviewer; city size.

  15. Most affordable metro areas U.S. 2017, by income spent on living expenses

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Most affordable metro areas U.S. 2017, by income spent on living expenses [Dataset]. https://www.statista.com/statistics/725215/most-affordable-metro-areas-usa-by-income-spent-on-expenses/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2017
    Area covered
    United States
    Description

    This statistic shows the most affordable metro areas in the Unites States in 2017, by share of income spent on living expenses. In 2017, Omaha was the second most affordable metro area because ***** percent of the median blending annual household income was spent on the average cost of owning or renting a home as well the average cost of utilities and taxes.

  16. F

    Expenses for Direct Life, Health, and Medical Insurance Carriers, All...

    • fred.stlouisfed.org
    json
    Updated Jan 31, 2024
    + more versions
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    (2024). Expenses for Direct Life, Health, and Medical Insurance Carriers, All Establishments, Employer Firms [Dataset]. https://fred.stlouisfed.org/series/DLHAMICEAEE352411
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    jsonAvailable download formats
    Dataset updated
    Jan 31, 2024
    License

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

    Description

    Graph and download economic data for Expenses for Direct Life, Health, and Medical Insurance Carriers, All Establishments, Employer Firms (DLHAMICEAEE352411) from 2009 to 2022 about life, medical, employer firms, establishments, health, insurance, expenditures, and USA.

  17. a

    Independent living costs in Little America, NY, over time

    • aplaceformom.com
    html
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    Independent living costs in Little America, NY, over time [Dataset]. https://www.aplaceformom.com/independent-living/new-york/little-america
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    htmlAvailable download formats
    Area covered
    New York
    Description

    Cost comparison table showing 2023 and 2024 median costs by location

  18. U

    Harris 1977 Quality of Life in America Survey, study no. 7780

    • dataverse.unc.edu
    • dataverse-staging.rdmc.unc.edu
    Updated Nov 30, 2007
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    UNC Dataverse (2007). Harris 1977 Quality of Life in America Survey, study no. 7780 [Dataset]. https://dataverse.unc.edu/dataset.xhtml;jsessionid=762029f36cf68e022708e552a1a9?persistentId=hdl%3A1902.29%2FH-7780&version=&q=&fileTypeGroupFacet=%22Code%22&fileAccess=&fileSortField=size
    Explore at:
    bin(2162880), application/x-sas-transport(7209920), tsv(1943445), pdf(1309746), text/x-sas-syntax(154666)Available download formats
    Dataset updated
    Nov 30, 2007
    Dataset provided by
    UNC Dataverse
    Area covered
    United States
    Description

    Americans are questioned indepth about their quality of life, consumerism, and ways their standard of living affects the environment and economic patterns.Questions focus on means of reducing consumption, health hazards, health foods, personal attitudes toward buying, and value system. Respondents are also asked about vacation travels, current political events, and status of women.

  19. g

    Wirtschaftspolitische Fragen (Form B)

    • search.gesis.org
    • da-ra.de
    Updated Apr 13, 2010
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    USIA, Washington; DIVO, Frankfurt (2010). Wirtschaftspolitische Fragen (Form B) [Dataset]. http://doi.org/10.4232/1.0450
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    Dataset updated
    Apr 13, 2010
    Dataset provided by
    GESIS search
    GESIS Data Archive
    Authors
    USIA, Washington; DIVO, Frankfurt
    License

    https://www.gesis.org/en/institute/data-usage-termshttps://www.gesis.org/en/institute/data-usage-terms

    Description

    Assessment of economic and social conditions in the USA in comparison to the FRG.

    Topics: Judgement on development of personal economic situation; evaluation of cooperation between the German and the American economy; evaluation of German and American commercial life, the economic strength of America, the German and American standard of living as well as the influence of American ideas on the FRG; reasons for the economic strength of America and the high standard of living as well as for American aid for European countries; differences between German and American trade unions and assumed political influence of American trade unions; economic strength of European countries; comparison of shopping habits of Germans and Americans; attitude to America and the Americans; use of sources of information about America; assessment of the best form of provision for one´s old age; naming the American film city and automobile city; estimate of quota of vehicle possession in the FRG and the USA.

    Demography: age (classified); marital status; religious denomination; school education; occupation; employment; household income; party preference; self-assessment of social class; state; refugee status; present and past offices held; membership.

    Interviewer rating: social class and willingness of respondent to cooperate; number of contact attempts.

    Also encoded were: age of interviewer and sex of interviewer; city size.

  20. F

    Expenses for Continuing Care Retirement Communities and Assisted Living...

    • fred.stlouisfed.org
    json
    Updated Jan 31, 2024
    + more versions
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    (2024). Expenses for Continuing Care Retirement Communities and Assisted Living Facilities for The Elderly, Establishments Subject To Federal Income Tax, Employer Firms [Dataset]. https://fred.stlouisfed.org/series/CCRCAALFFTE326233
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 31, 2024
    License

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

    Description

    Graph and download economic data for Expenses for Continuing Care Retirement Communities and Assisted Living Facilities for The Elderly, Establishments Subject To Federal Income Tax, Employer Firms (CCRCAALFFTE326233) from 2013 to 2022 about elderly, community, assistance, retirement, employer firms, establishments, tax, expenditures, federal, income, and USA.

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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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