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

    • statista.com
    Updated Feb 3, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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
    Feb 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    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 84.8 - well below the national benchmark of 100. Nevada - which had an index value of 100.1 - 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 427,000 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 200,000 U.S. dollars. That makes living costs in these states significantly lower than in states such as Hawaii and California, where housing is much more expensive. 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 500 U.S. dollars. That was because of the significantly higher prices for electricity and natural gas in these states.

  2. Happiness benchmark in the United States in 2010, state-by-state comparison

    • statista.com
    Updated Jul 17, 2014
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2014). Happiness benchmark in the United States in 2010, state-by-state comparison [Dataset]. https://www.statista.com/statistics/319651/happiness-benchmark-in-the-us/
    Explore at:
    Dataset updated
    Jul 17, 2014
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2010
    Area covered
    United States
    Description

    The statistic above provides information about the income level in the United States at which money won't make you happier. In 2010, a household in Hawaii needs to make about 122 thousand U.S. dollars per year to reach the happiness plateau, in which more income doesn't provide better emotional well-being. The state-by-state comparison takes into account the disparity in cost of living between the states.

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

    • statista.com
    • flwrdeptvarieties.store
    Updated Oct 23, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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/
    Explore at:
    Dataset updated
    Oct 23, 2024
    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 288,953 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 87,991 U.S. dollars in 2024.

  4. Cost of living in selected cities worldwide 2022, by price index

    • statista.com
    Updated Jul 4, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Cost of living in selected cities worldwide 2022, by price index [Dataset]. https://www.statista.com/statistics/262806/worldwide-exclusive-rent-index/
    Explore at:
    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 16, 2022 - Sep 16, 2022
    Area covered
    World
    Description

    Singapore and New York were ranked as the most expensive cities worldwide with an index of 100 out of a possible 100. Three of the 11 most expensive cities were in the United States, whereas two were in Switzerland.

  5. M

    Vital Signs: Poverty - Bay Area

    • open-data-demo.mtc.ca.gov
    • data.bayareametro.gov
    application/rdfxml +5
    Updated Jan 8, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Census Bureau (2019). Vital Signs: Poverty - Bay Area [Dataset]. https://open-data-demo.mtc.ca.gov/widgets/38fe-vd33
    Explore at:
    xml, application/rssxml, csv, tsv, application/rdfxml, jsonAvailable download formats
    Dataset updated
    Jan 8, 2019
    Dataset authored and provided by
    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.

  6. Cost of living index in India 2024, by city

    • statista.com
    Updated Sep 16, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Cost of living index in India 2024, by city [Dataset]. https://www.statista.com/statistics/1399330/india-cost-of-living-index-by-city/
    Explore at:
    Dataset updated
    Sep 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    As of September 2024, Mumbai had the highest cost of living among other cities in the country, with an index value of 26.5. Gurgaon, a satellite city of Delhi and part of the National Capital Region (NCR) followed it with an index value of 25.1.  What is cost of living? The cost of living varies depending on geographical regions and factors that affect the cost of living in an area include housing, food, utilities, clothing, childcare, and fuel among others. The cost of living is calculated based on different measures such as the consumer price index (CPI), living cost indexes, and wage price index. CPI refers to the change in the value of consumer goods and services. The wage price index, on the other hand, measures the change in labor services prices due to market pressures. Lastly, the living cost indexes calculate the impact of changing costs on different households. The relationship between wages and costs determines affordability and shifts in the cost of living. Mumbai tops the list Mumbai usually tops the list of most expensive cities in India. As the financial and entertainment hub of the country, Mumbai offers wide opportunities and attracts talent from all over the country. It is the second-largest city in India and has one of the most expensive real estates in the world.

  7. G

    Cost of living in the European union | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated May 22, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Globalen LLC (2021). Cost of living in the European union | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/cost_of_living_wb/European-union/
    Explore at:
    excel, csv, xmlAvailable download formats
    Dataset updated
    May 22, 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
    European Union, World
    Description

    The average for 2021 based on 27 countries was 115.11 index points. The highest value was in Luxembourg: 184.36 index points and the lowest value was in Romania: 59.9 index points. The indicator is available from 2017 to 2021. Below is a chart for all countries where data are available.

  8. d

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

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 21, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    American Chamber of Commerce Reseachers Association; Council for Community and Economic Research (2023). ACCRA Cost of Living Index - Historical Dataset (1Q1990-2009) [Dataset]. http://doi.org/10.7910/DVN/YJCLHR
    Explore at:
    Dataset updated
    Nov 21, 2023
    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. U.S. annual GDP 1990-2023

    • flwrdeptvarieties.store
    • statista.com
    Updated Mar 18, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista Research Department (2025). U.S. annual GDP 1990-2023 [Dataset]. https://flwrdeptvarieties.store/?_=%2Fstudy%2F17880%2Fmortgage-industry-of-the-united-states--statista-dossier%2F%23zUpilBfjadnL7vc%2F8wIHANZKd8oHtis%3D
    Explore at:
    Dataset updated
    Mar 18, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    In 2023, the U.S. GDP increased from the previous year to about 27.36 trillion U.S. dollars. This increase in GDP can be attributed to a continued rebound from the impact of the coronavirus pandemic. Gross domestic product (GDP) refers to the market value of all goods and services produced within a country. In 2023, the United States has the largest economy in the world. See, for example, the Russian GDP for comparison.

    What is GDP? Gross domestic product is one of the most important indicators used to analyze the health of an economy. GDP is defined by the BEA as the market value of goods and services produced by labor and property in the United States, regardless of nationality. It is the primary measure of U.S. production. The OECD defines GDP as an aggregate measure of production equal to the sum of the gross values added of all resident, institutional units engaged in production (plus any taxes, and minus any subsidies, on products not included in the value of their outputs).

    GDP and national debt

    Although the United States had the highest Gross Domestic Product (GDP) in the world in 2022, this does not tell us much about the quality of life in any given country. GDP per capita at purchasing power parity (PPP) is an economic measurement that is thought to be a better method for comparing living standards across countries because it accounts for domestic inflation and variations in the cost of living.

    While the United States might have the largest economy, the country that ranked highest in terms of GDP at PPP was Luxembourg, amounting to around 141,333 international dollars per capita. Singapore, Ireland, and Qatar also ranked highly on the GDP PPP list, and the United States ranked 9th in 2022.

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

    • statista.com
    • flwrdeptvarieties.store
    Updated Jan 30, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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/
    Explore at:
    Dataset updated
    Jan 30, 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 981,000 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 167,000 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 nine percent in 2023.

  11. T

    Vital Signs: Poverty - by city (2022)

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Jan 3, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2023). Vital Signs: Poverty - by city (2022) [Dataset]. https://data.bayareametro.gov/w/qgxa-b4zm/default?cur=Cnf5S2Q7aNM
    Explore at:
    json, tsv, csv, xml, application/rssxml, 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.

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

    • statista.com
    Updated Aug 9, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). 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
    Aug 9, 2024
    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 90.5 value and the median income of 40,240 U.S. dollars.

  13. O

    Choose Maryland: Compare Counties - Quality Of Life

    • opendata.maryland.gov
    • catalog.data.gov
    • +1more
    application/rdfxml +5
    Updated Mar 6, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Maryland Department of Commerce (2019). Choose Maryland: Compare Counties - Quality Of Life [Dataset]. https://opendata.maryland.gov/Housing/Choose-Maryland-Compare-Counties-Quality-Of-Life/dyym-bjv4
    Explore at:
    tsv, csv, json, application/rdfxml, application/rssxml, xmlAvailable download formats
    Dataset updated
    Mar 6, 2019
    Dataset authored and provided by
    Maryland Department of Commerce
    Area covered
    Maryland
    Description

    Key quality of life indicators - cost index, housing.

  14. c

    Consumer Habits of Underprivileged and Older People

    • datacatalogue.cessda.eu
    • dbk.gesis.org
    • +3more
    Updated Mar 14, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Nägele, Gerhard (2023). Consumer Habits of Underprivileged and Older People [Dataset]. http://doi.org/10.4232/1.1001
    Explore at:
    Dataset updated
    Mar 14, 2023
    Dataset provided by
    Institut für Sozialforschung und Gesellschaftspolitik, Köln
    Authors
    Nägele, Gerhard
    Time period covered
    Jan 1976 - Feb 1976
    Area covered
    Germany
    Measurement technique
    Oral survey with standardized questionnaire
    Description

    Consumer habits, shopping habits and the extent to which informed as consumer among older people with low income.

    Topics: financial support by family members; type and amount of planned expenditures; frequency of vacation trips; shopping habits; reasons for the selection of shopping place; price comparisons; expenditure planning at the start of the month; creating shopping lists; purchases in health food stores; perception of special offers; possible reasons to change regular store; purchases with mail-order firms; attitude to name-brand articles; participation and purchases at so-called ´sale demonstrations´ in restaurants; purchases from salesmen at the door; conduct with complaints; attitude to consumer education; information need with certain products; missing product offering; information and purchase behavior with larger acquisitions; utilization of consumer advice centers; comparison of personal consumer behavior earlier and today; critical consumer consciousness (scale); cost of living and savings habits; savings goals; attitude to installment purchases and purchases on credit; conduct with financial difficulties; economic restrictions at retirement of spouse from professional life or death of spouse; assessment of the economic situation of pensioners in the FRG; satisfaction with income; source of income and financial support by family members; leisure activities and media usage; paying attention to advertisments and advertising broadcasts; attitude to advertising (scale); purchase of unnecessary articles; judgement on personal condition of health; contact with doctors; confinement to bed; health insurance and life insurance; monthly expenditures for medication and medicinal preparations;

    Demography: age (classified); sex; age of spouse; marital status; school education; income; household income; sources of income; household composition; degree of urbanization; state; personal occupational situation and that of spouse; housing situation and size of residence; residence furnishings; rent costs; length of local residency; contacts with one´s children; attitude to age and non-involvement.

    Interviewer rating: shopping opportunities in vicinity of residence, willingness of respondent to cooperate, presence of other persons, length of interview; time of ending interview; city size; social class of respondent; number of contact attempts.

  15. State

    • atlas-connecteddmv.hub.arcgis.com
    Updated Aug 29, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2022). State [Dataset]. https://atlas-connecteddmv.hub.arcgis.com/datasets/esri::state-136
    Explore at:
    Dataset updated
    Aug 29, 2022
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    The County Health Rankings, a collaboration between the Robert Wood Johnson Foundation and the University of Wisconsin Population Health Institute, measure the health of nearly all counties in the nation and rank them within states. This feature layer contains 2022 County Health Rankings data for nation, state, and county levels. The Rankings are compiled using county-level measures from a variety of national and state data sources. Some example measures are:adult smokingphysical inactivityflu vaccinationschild povertydriving alone to workTo see a full list of variables, as well as their definitions and descriptions, explore the Fields information by clicking the Data tab here in the Item Details. These measures are standardized and combined using scientifically-informed weights."By ranking the health of nearly every county in the nation, County Health Rankings & Roadmaps (CHR&R) illustrates how where we live affects how well and how long we live. CHR&R also shows what each of us can do to create healthier places to live, learn, work, and play – for everyone."Counties are ranked within their state on both health outcomes and health factors. Counties with a lower (better) health outcomes ranking than health factors ranking may see the health of their county decline in the future, as factors today can result in outcomes later. Conversely, counties with a lower (better) factors ranking than outcomes ranking may see the health of their county improve in the future.Some new variables in the 2022 Rankings data compared to previous versions:COVID-19 age-adjusted mortalitySchool segregationSchool funding adequacyGender pay gapChildcare cost burdenChildcare centersLiving wage (while the Living wage measure was introduced to the CHRR dataset in 2022 from the Living Wage Calculator, it is not available in the Living Atlas dataset and user’s interested in the most up to date living wage data can look that up on the Living Wage Calculator website).Data Processing Notes:Data downloaded April 2022Slight modifications made to the source data are as follows:The string " raw value" was removed from field labels/aliases so that auto-generated legends and pop-ups would only have the measure's name, not "(measure's name) raw value" and strings such as "(%)", "rate", or "per 100,000" were added depending on the type of measure.Percentage and Prevalence fields were multiplied by 100 to make them easier to work with in the map.Ratios were set to null if negative to make them easier to work with in the map.For demographic variables, the word "numerator" was removed and the word "population" was added where appropriate.Fields dropped from analytic data file: yearall fields ending in "_cihigh" and "_cilow"and any variables that are not listed in the sources and years documentation.Analytic data file was then merged with state-specific ranking files so that all county rankings and subrankings are included in this layer.2010 US boundaries were used as the data contain 2010 US census geographies, for a total of 3,142 counties.

  16. c

    Living Conditions and Needs of Old People (1974)

    • datacatalogue.cessda.eu
    • search.gesis.org
    • +3more
    Updated Mar 14, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    EMNID (2023). Living Conditions and Needs of Old People (1974) [Dataset]. http://doi.org/10.4232/1.0914
    Explore at:
    Dataset updated
    Mar 14, 2023
    Dataset provided by
    Bielefeld
    Authors
    EMNID
    Time period covered
    Mar 1974 - Apr 1974
    Area covered
    Germany
    Measurement technique
    Oral survey with standardized questionnaire
    Description

    The housing situation, circles of contact, activities and desires of old people as well as their judgement on the care of old people in the FRG. The main focus areas of the study are the housing situation and the housing desires of old people, circles of contact and the associated care situation, furthermore the determination of activities similar to employment in old age.

    Topics: Preferred contact persons and actual visits in the last two weeks; frequency of contact with relatives and friends; reference person; conversation partner for daily conversations and satisfaction with frequency of contact; interest in a residence for older people; biggest problems in old age; membership in clubs and organizations as well as frequency of participation in club events; preferred leisure activity; type of newspapers and magazines read regularly; general need for security; information on financially particularly disadvantaged groups in society; satisfaction with personal income situation; assessment whether enough is done for older people; last contact with authorities and assessment of experiences with authorities; personal contacts with the social services office and judgement on the people using the the social services office; the party soonest considering the problems of the older generation; attitude to reform policies and most important political problems; requirements for a politician (semantic differential); housing situation and housing desires; residential area and assessment of adequate care of older people in the vicinity; possibilities to care better for older fellow-citizens; assistance from neighbors, relatives or friends; distance of residence from close persons; satisfaction with general living conditions; preference for activity or leisure; length of daily occupation work; type of activity exercised; comparison of current financial situation with the time before retirement; cost of living; last visit to the doctor.

    Demography: age (classified); sex; marital status; religious denomination; religiousness; school education; vocational training; occupation; employment; income; household income; size of household; party preference; city size; state.

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

    • statista.com
    Updated Apr 17, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Monthly residential utility costs, by state U.S. 2023 [Dataset]. https://www.statista.com/statistics/1108684/monthly-utility-costs-usa-state/
    Explore at:
    Dataset updated
    Apr 17, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    Alaska, Hawaii, and Connecticut were the states with the highest average monthly utility costs in the United States in 2023. Residents paid about 133.89 U.S. dollars for their electricity bills in Hawaii, while the average monthly bill for natural gas came to 164 U.S. dollars. This was significantly higher than in any other state. Bigger homes have higher utility costs Despite regional variations, single-family homes in the United States have grown bigger in size since 1975. This trend also means that, unless homeowners invest in energy savings measures, they will have to pay more for their utility costs. Which are the most affordable states to live in? According to the cost of living index, the three most affordable states to live in are Mississippi, Kansas, and Oklahoma. At the other end of the scale are Hawaii, District of Columbia, and New York. The index is based on housing, utilities, grocery items, transportation, health care, and miscellaneous goods and services. To buy a median priced home in Kansas City, a prospective home buyer will have to earn an annual salary of about 76,000 U.S. dollars.

  18. Consumer Price Index by geography, all-items, monthly, percentage change,...

    • www150.statcan.gc.ca
    Updated Mar 18, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Government of Canada, Statistics Canada (2025). Consumer Price Index by geography, all-items, monthly, percentage change, not seasonally adjusted, Canada, provinces, Whitehorse, Yellowknife and Iqaluit [Dataset]. http://doi.org/10.25318/1810000401-eng
    Explore at:
    Dataset updated
    Mar 18, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Monthly indexes and percentage changes for all components and special aggregates of the Consumer Price Index (CPI), not seasonally adjusted, for Canada, provinces, Whitehorse, Yellowknife and Iqaluit. Data are presented for the corresponding month of the previous year, the previous month and the current month. The base year for the index is 2002=100.

  19. Housing Cost Burden

    • data.ca.gov
    • data.chhs.ca.gov
    • +2more
    pdf, xlsx, zip
    Updated Aug 28, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    California Department of Public Health (2024). Housing Cost Burden [Dataset]. https://data.ca.gov/dataset/housing-cost-burden
    Explore at:
    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.

  20. At-risk-of-poverty threshold - EU-SILC survey

    • db.nomics.world
    • service.tib.eu
    • +1more
    Updated Jun 12, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    DBnomics (2024). At-risk-of-poverty threshold - EU-SILC survey [Dataset]. https://db.nomics.world/Eurostat/tessi014
    Explore at:
    Dataset updated
    Jun 12, 2024
    Dataset provided by
    Eurostathttps://ec.europa.eu/eurostat
    Authors
    DBnomics
    Description

    The threshold is set at 60 % of the national median equivalised disposable income (after social transfers). It is expressed in Purchase Parity Standards (PPS) in order to take into account differences in cost of living across EU Member States.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
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/
Organization logo

Cost of living index in the U.S. 2024, by state

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Feb 3, 2025
Dataset authored and provided by
Statistahttp://statista.com/
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 84.8 - well below the national benchmark of 100. Nevada - which had an index value of 100.1 - 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 427,000 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 200,000 U.S. dollars. That makes living costs in these states significantly lower than in states such as Hawaii and California, where housing is much more expensive. 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 500 U.S. dollars. That was because of the significantly higher prices for electricity and natural gas in these states.

Search
Clear search
Close search
Google apps
Main menu