100+ datasets found
  1. Data from: Cost of Living in the United States, 1917-1919

    • icpsr.umich.edu
    ascii, sas, spss
    Updated Feb 16, 1992
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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.

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

    • statista.com
    Updated Mar 13, 2025
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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.

  3. 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.

  4. 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.

  5. Living Costs and Food Survey: technical report data tables

    • cy.ons.gov.uk
    • ons.gov.uk
    xlsx
    Updated Sep 10, 2025
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    Office for National Statistics (2025). Living Costs and Food Survey: technical report data tables [Dataset]. https://cy.ons.gov.uk/peoplepopulationandcommunity/personalandhouseholdfinances/expenditure/datasets/livingcostsandfoodsurveytechnicalreportdatatables
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    xlsxAvailable download formats
    Dataset updated
    Sep 10, 2025
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Information about sample sizes, response rates, household characteristics, and expenditure uncertainty metrics for the Living Costs and Food Survey.

  6. Cost of living by State in USA - MERIC

    • kaggle.com
    zip
    Updated Jun 25, 2023
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    Karol Łukaszczyk (2023). Cost of living by State in USA - MERIC [Dataset]. https://www.kaggle.com/datasets/lukkardata/cost-of-living-missouri-economic-research
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    zip(1423 bytes)Available download formats
    Dataset updated
    Jun 25, 2023
    Authors
    Karol Łukaszczyk
    License

    https://www.usa.gov/government-works/https://www.usa.gov/government-works/

    Area covered
    United States
    Description

    Thumbnail Image by macrovector_official on Freepik

    Missouri Economic Research and Information Center (MERIC) derives the cost of living index for each state by averaging the indices of participating cities and metropolitan areas in that state.

    In general, the most expensive areas to live were Hawaii, Alaska, the Northeast, and the West Coast. The least expensive areas were the Midwest and Southern states.

    Cities across the nation participate in the Council for Community & Economic Research (C2ER) survey on a volunteer basis. Price information in the survey is governed by C2ER collection guidelines which strive for uniformity.

    The entries for Ontario, British Columbia, and Remote were added manually for my use case.

  7. Cost of living index in India 2025, by city

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Cost of living index in India 2025, by city [Dataset]. https://www.statista.com/statistics/1399330/india-cost-of-living-index-by-city/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    As of September 2025, Mumbai had the highest cost of living among other cities in the country, with an index value of ****. Gurgaon, a satellite city of Delhi and part of the National Capital Region (NCR) followed it with an index value of ****.  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.

  8. FCA: Financial Lives cost of living (Jan 2024) recontact survey - Dataset -...

    • ckan.publishing.service.gov.uk
    Updated Apr 16, 2024
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    ckan.publishing.service.gov.uk (2024). FCA: Financial Lives cost of living (Jan 2024) recontact survey - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/fca-financial-lives-cost-of-living-jan-2024-recontact-survey
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    Dataset updated
    Apr 16, 2024
    Dataset provided by
    CKANhttps://ckan.org/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    The FCA presents the findings from a survey undertaken in January 2024 to understand the financial impact of the increased cost of living on adults across the UK. Key findings include: Since January 2023 there has been an improvement in the number of people finding it hard to manage the higher costs of living, although challenges remain for some groups. The cost of living continues to have an impact on the financial lives of some adults in the UK. In January 2024: 7.4m (14%) felt heavily burdened by their domestic bills and credit commitments 5.5m (11%) had missed any of these bills in the previous 6 months 14.6m (28%) were not coping financially or finding it difficult to cope 5.9m (11%) had no disposable income

  9. Living Costs and Food Survey technical report: financial year ending March...

    • gov.uk
    • s3.amazonaws.com
    Updated Oct 5, 2022
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    Office for National Statistics (2022). Living Costs and Food Survey technical report: financial year ending March 2021 [Dataset]. https://www.gov.uk/government/statistics/living-costs-and-food-survey-technical-report-financial-year-ending-march-2021
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    Dataset updated
    Oct 5, 2022
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Office for National Statistics
    Description

    Official statistics are produced impartially and free from political influence.

  10. Satisfaction with the government response to cost of living crisis UK 2022

    • statista.com
    Updated May 26, 2022
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    Statista (2022). Satisfaction with the government response to cost of living crisis UK 2022 [Dataset]. https://www.statista.com/statistics/1311131/uk-cost-living-government-response/
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    Dataset updated
    May 26, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 25, 2022 - May 26, 2022
    Area covered
    United Kingdom
    Description

    In May 2022, 49 percent of people in the United Kingdom advised that they were highly dissatisfied with the government's response to the cost of living crisis. High inflation has caused an economic crisis in the UK, with 87 percent of people reporting an increase in their cost of living as of March 2022.

  11. R

    Russia Living Cost: Average per Month

    • ceicdata.com
    Updated Dec 15, 2020
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    CEICdata.com (2020). Russia Living Cost: Average per Month [Dataset]. https://www.ceicdata.com/en/russia/living-cost/living-cost-average-per-month
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    Dataset updated
    Dec 15, 2020
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Mar 1, 2016 - Dec 1, 2018
    Area covered
    Russia
    Variables measured
    Cost of Living
    Description

    Russia Living Cost: Average per Month data was reported at 10,213.000 RUB in Dec 2018. This records a decrease from the previous number of 10,451.000 RUB for Sep 2018. Russia Living Cost: Average per Month data is updated quarterly, averaging 3,050.000 RUB from Mar 1992 (Median) to Dec 2018, with 108 observations. The data reached an all-time high of 10,451.000 RUB in Sep 2018 and a record low of 1.423 RUB in Jun 1992. Russia Living Cost: Average per Month data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HF001: Living Cost.

  12. British adults reporting a cost of living increase 2021-2025

    • statista.com
    Updated Nov 14, 2025
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    Statista (2025). British adults reporting a cost of living increase 2021-2025 [Dataset]. https://www.statista.com/statistics/1300280/great-britain-cost-of-living-increase/
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    Dataset updated
    Nov 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Great Britain, United Kingdom
    Description

    In October 2025, 63 percent of households in Great Britain reported that their cost of living had increased in the previous month, compared with 72 percent in April. Although the share of people reporting a cost of living increase has generally been falling since August 2022, when 91 percent of households reported an increase, the most recent figures indicate that the Cost of Living Crisis is still ongoing for many households in the UK. Crisis ligers even as inflation falls Although various factors have been driving the Cost of Living Crisis in Britain, high inflation has undoubtedly been one of the main factors. After several years of relatively low inflation, the CPI inflation rate shot up from 2021 onwards, hitting a high of 11.1 percent in October 2022. In the months since that peak, inflation has fallen to more usual levels, and was 2.5 percent in December 2024, slightly up from 1.7 percent in September. Since June 2023, wages have also started to grow at a faster rate than inflation, albeit after a long period where average wages were falling relative to overall price increases. Economy continues to be the main issue for voters Ahead of the last UK general election, the economy was consistently selected as the main issue for voters for several months. Although the Conservative Party was seen by voters as the best party for handling the economy before October 2022, this perception collapsed following the market's reaction to Liz Truss' mini-budget. Even after changing their leader from Truss to Rishi Sunak, the Conservatives continued to fall in the polls, and would go onto lose the election decisively. Since the election, the economy remains the most important issue in the UK, although it was only slightly ahead of immigration and health as of January 2025.

  13. Housing cost overburden rate by income quintile - EU-SILC survey

    • ec.europa.eu
    • db.nomics.world
    • +2more
    Updated Oct 10, 2025
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    Eurostat (2025). Housing cost overburden rate by income quintile - EU-SILC survey [Dataset]. http://doi.org/10.2908/TESSI162
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    application/vnd.sdmx.data+csv;version=2.0.0, application/vnd.sdmx.genericdata+xml;version=2.1, tsv, application/vnd.sdmx.data+xml;version=3.0.0, json, application/vnd.sdmx.data+csv;version=1.0.0Available download formats
    Dataset updated
    Oct 10, 2025
    Dataset authored and provided by
    Eurostathttps://ec.europa.eu/eurostat
    License

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

    Time period covered
    2013 - 2024
    Area covered
    Lithuania, Poland, Netherlands, Switzerland, Portugal, Türkiye, Estonia, Euro area – 20 countries (from 2023), Germany, Bulgaria
    Description

    This indicator is defined as the percentage of the population living in a household where the total housing costs (net of housing allowances) represent more than 40% of the total disposable household income (net of housing allowances) presented by income quintile.

  14. G

    Cost of living by country, around the world | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated May 22, 2021
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    Globalen LLC (2021). Cost of living by country, around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/cost_of_living_wb/
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    csv, xml, excelAvailable 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
    World
    Description

    The average for 2021 based on 165 countries was 79.81 index points. The highest value was in Bermuda: 212.7 index points and the lowest value was in Syria: 33.25 index points. The indicator is available from 2017 to 2021. Below is a chart for all countries where data are available.

  15. R

    Russia Living Cost: Average per Month: FE: Chukotka Area

    • ceicdata.com
    Updated Oct 15, 2025
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    CEICdata.com (2025). Russia Living Cost: Average per Month: FE: Chukotka Area [Dataset]. https://www.ceicdata.com/en/russia/living-cost/living-cost-average-per-month-fe-chukotka-area
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    Dataset updated
    Oct 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Mar 1, 2018 - Dec 1, 2020
    Area covered
    Russia
    Variables measured
    Cost of Living
    Description

    Living Cost: Average per Month: FE: Chukotka Area data was reported at 23,999.000 RUB in Dec 2020. This records an increase from the previous number of 23,860.000 RUB for Sep 2020. Living Cost: Average per Month: FE: Chukotka Area data is updated quarterly, averaging 11,724.000 RUB from Jun 2003 (Median) to Dec 2020, with 71 observations. The data reached an all-time high of 23,999.000 RUB in Dec 2020 and a record low of 5,744.000 RUB in Dec 2003. Living Cost: Average per Month: FE: Chukotka Area data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HF001: Living Cost.

  16. T

    United States Consumer Price Index (CPI)

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 15, 2025
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    TRADING ECONOMICS (2025). United States Consumer Price Index (CPI) [Dataset]. https://tradingeconomics.com/united-states/consumer-price-index-cpi
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    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Sep 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 1950 - Sep 30, 2025
    Area covered
    United States
    Description

    Consumer Price Index CPI in the United States increased to 324.80 points in September from 323.98 points in August of 2025. This dataset provides the latest reported value for - United States Consumer Price Index (CPI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  17. Disposable income growth forecast UK 2019-2030

    • statista.com
    Updated Feb 18, 2025
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    Statista Research Department (2025). Disposable income growth forecast UK 2019-2030 [Dataset]. https://www.statista.com/topics/9121/cost-of-living-crisis-uk/
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    Dataset updated
    Feb 18, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United Kingdom
    Description

    Real household disposable income per person in the United Kingdom is expected to grow by 2.6 percent in 2024/25, with disposable income growth slowing from that point onwards. In 2022/23, disposable income fell by two percent, after falling by 0.1 percent in 2021/22, and 0.3 percent in 2020/21.

  18. 2

    LCF

    • datacatalogue.ukdataservice.ac.uk
    Updated Jul 30, 2025
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    The citation is currently not available for this dataset.
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    Dataset updated
    Jul 30, 2025
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    Area covered
    United Kingdom
    Description

    Background:
    A household food consumption and expenditure survey has been conducted each year in Great Britain (excluding Northern Ireland) since 1940. At that time the National Food Survey (NFS) covered a sample drawn solely from urban working-class households, but this was extended to a fully demographically representative sample in 1950. From 1957 onwards the Family Expenditure Survey (FES) provided information on all household expenditure patterns including food expenditure, with the NFS providing more detailed information on food consumption and expenditure. The NFS was extended to cover Northern Ireland from 1996 onwards. In April 2001 these surveys were combined to form the Expenditure and Food Survey (EFS), which completely replaced both series. From January 2008, the EFS became known as the Living Costs and Food (LCF) module of the Integrated Household Survey (IHS). As a consequence of this change, the questionnaire was altered to accommodate the insertion of a core set of questions, common to all of the separate modules which together comprised the IHS. Some of these core questions are simply questions which were previously asked in the same or a similar format on all of the IHS component surveys. For further information on the LCF questionnaire, see Volume A of the LCF 2008 User Guide, held with SN 6385. Further information about the LCF, including links to published reports based on the survey, may be found by searching for 'Living Costs and Food Survey' on the ONS website. Further information on the NFS and Living Costs and Food Module of the IHS can be found by searching for 'Family Food' on the GOV.UK website.

    History:
    The LCF (then EFS) was the result of more than two years' development work to bring together the FES and NFS; both survey series were well-established and important sources of information for government and the wider community, and had charted changes and patterns in spending and food consumption since the 1950s. Whilst the NFS and FES series are now finished, users should note that previous data from both series are still available from the UK Data Archive, under GNs 33071 (NFS) and 33057 (FES).

    Purpose of the LCF
    The Office for National Statistics (ONS) has overall project management and financial responsibility for the LCF, while the Department for Environment, Food and Rural Affairs (DEFRA) sponsors the food data element. As with the FES and NFS, the LCF continues to be primarily used to provide information for the Retail Prices Index, National Accounts estimates of household expenditure, analysis of the effect of taxes and benefits, and trends in nutrition. The results are multi-purpose, however, providing an invaluable supply of economic and social data. The merger of the two surveys also brings benefits for users, as a single survey on food expenditure removes the difficulties of reconciling data from two sources. Design and methodology The design of the LCF is based on the old FES, although the use of new processing software by the data creators has resulted in a dataset which differs from the previous structure. The most significant change in terms of reporting expenditure, however, is the introduction of the European Standard Classification of Individual Consumption by Purpose (COICOP), in place of the codes previously used. An additional level of hierarchy has been developed to improve the mapping to the previous codes. The LCF was conducted on a financial year basis from 2001, then moved to a calendar year basis from January 2006 (to complement the IHS) until 2015-16, when the financial year survey was reinstated at the request of users. Therefore, whilst SN 5688 covers April 2005 - March 2006, SN 5986 covers January-December 2006. Subsequent years cover January-December until 2014. SN 8210 returns to the financial year survey and currently covers April 2015 - March 2016.

    Northern Ireland sample
    Users should note that, due to funding constraints, from January 2010 the Northern Ireland (NI) sample used for the LCF was reduced to a sample proportionate to the NI population relative to the UK.

    Family Food database:
    'Family Food' is an annual publication which provides detailed statistical information on purchased quantities, expenditure and nutrient intakes derived from both household and eating out food and drink. Data is collected for a sample of households in the United Kingdom using self-reported diaries of all purchases, including food eaten out, over a two week period. Where possible quantities are recorded in the diaries but otherwise estimated. Energy and nutrient intakes are calculated using standard nutrient composition data for each of some 500 types of food. Current estimates are based on data collected in the Family Food Module of the LCFS. Further information about the LCF food databases can be found on the GOV.UK Family Food Statistics web pages.

    Secure Access version
    A Secure Access version of the LCF from 2006 onwards is available from the UK Data Archive under SN 7047, subject to stringent access conditions. The Secure Access version includes variables that are not included in the standard End User Licence (EUL) version, including geographical variables with detail below Government Office Region, to postcode level; urban/rural area indicators; other sensitive variables; raw diary information files (derived variables are available in the EUL) and the family expenditure codes files. Users are strongly advised to check whether the EUL version is sufficient for their needs before considering an application for the Secure Access version.

    Occupation data for 2021 and 2022 data files
    The ONS have identified an issue with the collection of some occupational data in 2021 and 2022 data files in a number of their surveys. While they estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classification (SOC)) occupations, and data derived from them. None of ONS' headline statistics, other than those directly sourced from occupational data, are affected and you can continue to rely on their accuracy. For further information on this issue, please see: https://www.ons.gov.uk/news/statementsandletters/occupationaldatainonssurveys.

    Latest edition information

    For the fourth edition (July 2025), an updated version of the DEFRA Family Food database has been added to the study. Tables covering a065p (Age of HRP by range - anonymised), a069p (Type of household - Anonymised) and a094 (NS-SEC 12 Class of HRP) have been added, and the variable EqIncDOp (Equivalised income (OECD Scale) - anonymised) has been added to the EFShousehold table. A guide to the additional variables has been added to the documentation.

  19. 2

    Data from: LCFS

    • datacatalogue.ukdataservice.ac.uk
    Updated Nov 9, 2023
    + more versions
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    UK Data Service (2023). LCFS [Dataset]. http://doi.org/10.5255/UKDA-SN-8803-5
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    Dataset updated
    Nov 9, 2023
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    Area covered
    United Kingdom
    Description

    Background:
    A household food consumption and expenditure survey has been conducted each year in Great Britain (excluding Northern Ireland) since 1940. At that time the National Food Survey (NFS) covered a sample drawn solely from urban working-class households, but this was extended to a fully demographically representative sample in 1950. From 1957 onwards the Family Expenditure Survey (FES) provided information on all household expenditure patterns including food expenditure, with the NFS providing more detailed information on food consumption and expenditure. The NFS was extended to cover Northern Ireland from 1996 onwards. In April 2001 these surveys were combined to form the Expenditure and Food Survey (EFS), which completely replaced both series. From January 2008, the EFS became known as the Living Costs and Food (LCF) module of the Integrated Household Survey (IHS). As a consequence of this change, the questionnaire was altered to accommodate the insertion of a core set of questions, common to all of the separate modules which together comprised the IHS. Some of these core questions are simply questions which were previously asked in the same or a similar format on all of the IHS component surveys. For further information on the LCF questionnaire, see Volume A of the LCF 2008 User Guide, held with SN 6385. Further information about the LCF, including links to published reports based on the survey, may be found by searching for 'Living Costs and Food Survey' on the ONS website. Further information on the NFS and Living Costs and Food Module of the IHS can be found by searching for 'Family Food' on the GOV.UK website.

    History:
    The LCF (then EFS) was the result of more than two years' development work to bring together the FES and NFS; both survey series were well-established and important sources of information for government and the wider community, and had charted changes and patterns in spending and food consumption since the 1950s. Whilst the NFS and FES series are now finished, users should note that previous data from both series are still available from the UK Data Archive, under GNs 33071 (NFS) and 33057 (FES).

    Purpose of the LCF
    The Office for National Statistics (ONS) has overall project management and financial responsibility for the LCF, while the Department for Environment, Food and Rural Affairs (DEFRA) sponsors the food data element. As with the FES and NFS, the LCF continues to be primarily used to provide information for the Retail Prices Index, National Accounts estimates of household expenditure, analysis of the effect of taxes and benefits, and trends in nutrition. The results are multi-purpose, however, providing an invaluable supply of economic and social data. The merger of the two surveys also brings benefits for users, as a single survey on food expenditure removes the difficulties of reconciling data from two sources. Design and methodology The design of the LCF is based on the old FES, although the use of new processing software by the data creators has resulted in a dataset which differs from the previous structure. The most significant change in terms of reporting expenditure, however, is the introduction of the European Standard Classification of Individual Consumption by Purpose (COICOP), in place of the codes previously used. An additional level of hierarchy has been developed to improve the mapping to the previous codes. The LCF was conducted on a financial year basis from 2001, then moved to a calendar year basis from January 2006 (to complement the IHS) until 2015-16, when the financial year survey was reinstated at the request of users. Therefore, whilst SN 5688 covers April 2005 - March 2006, SN 5986 covers January-December 2006. Subsequent years cover January-December until 2014. SN 8210 returns to the financial year survey and currently covers April 2015 - March 2016.

    Northern Ireland sample
    Users should note that, due to funding constraints, from January 2010 the Northern Ireland (NI) sample used for the LCF was reduced to a sample proportionate to the NI population relative to the UK.

    Family Food database:
    'Family Food' is an annual publication which provides detailed statistical information on purchased quantities, expenditure and nutrient intakes derived from both household and eating out food and drink. Data is collected for a sample of households in the United Kingdom using self-reported diaries of all purchases, including food eaten out, over a two week period. Where possible quantities are recorded in the diaries but otherwise estimated. Energy and nutrient intakes are calculated using standard nutrient composition data for each of some 500 types of food. Current estimates are based on data collected in the Family Food Module of the LCFS. Further information about the LCF food databases can be found on the GOV.UK Family Food Statistics web pages.

    Secure Access version
    A Secure Access version of the LCF from 2006 onwards is available from the UK Data Archive under SN 7047, subject to stringent access conditions. The Secure Access version includes variables that are not included in the standard End User Licence (EUL) version, including geographical variables with detail below Government Office Region, to postcode level; urban/rural area indicators; other sensitive variables; raw diary information files (derived variables are available in the EUL) and the family expenditure codes files. Users are strongly advised to check whether the EUL version is sufficient for their needs before considering an application for the Secure Access version.

    Occupation data for 2021 and 2022 data files
    The ONS have identified an issue with the collection of some occupational data in 2021 and 2022 data files in a number of their surveys. While they estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classification (SOC)) occupations, and data derived from them. None of ONS' headline statistics, other than those directly sourced from occupational data, are affected and you can continue to rely on their accuracy. For further information on this issue, please see: https://www.ons.gov.uk/news/statementsandletters/occupationaldatainonssurveys.

    DEFRA Family Food database:
    This is available as a separate Access download zip file for those users who require it.

    Latest edition information:
    For the fifth edition (November 2023), the DEFRA Family Food Database has been updated; one case has been removed.

  20. I

    Indonesia Average Household Income: Tanjung Pinang Municipality

    • ceicdata.com
    Updated May 15, 2018
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    CEICdata.com (2018). Indonesia Average Household Income: Tanjung Pinang Municipality [Dataset]. https://www.ceicdata.com/en/indonesia/cost-of-living-survey-sbh2018-average-monthly-household-income-by-cities/average-household-income-tanjung-pinang-municipality
    Explore at:
    Dataset updated
    May 15, 2018
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2018
    Area covered
    Indonesia
    Description

    Average Household Income: Tanjung Pinang Municipality data was reported at 10,904,826.000 IDR in 2018. Average Household Income: Tanjung Pinang Municipality data is updated yearly, averaging 10,904,826.000 IDR from Dec 2018 (Median) to 2018, with 1 observations. The data reached an all-time high of 10,904,826.000 IDR in 2018 and a record low of 10,904,826.000 IDR in 2018. Average Household Income: Tanjung Pinang Municipality data remains active status in CEIC and is reported by Statistics Indonesia. The data is categorized under Indonesia Premium Database’s Domestic Trade and Household Survey – Table ID.HB003: Cost of Living Survey (SBH-2018): Average Monthly Household Income: by Cities.

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

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6 scholarly articles cite this dataset (View in Google Scholar)
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.

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