100+ datasets found
  1. Consumer price index for rent of primary residence in the U.S. 2000-2024

    • statista.com
    Updated Mar 13, 2025
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    Statista Research Department (2025). Consumer price index for rent of primary residence in the U.S. 2000-2024 [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

    Residential rents in urban areas in the United States have grown faster than the general basket of products and services of the urban population. In 2024, the consumer price index (CPI) for rent of primary residences reached 420 index points, more than 100 index points more than the CPI for all items. The CPI measures the development of prices, with 1984 chosen as a base year. An index value of 400 indicates that rents have quadrupled since 1984.

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

    • statista.com
    Updated Mar 13, 2025
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    Umair Bashir (2025). Impact of the cost of living crisis on consumers in the U.S. 2023 [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
    Umair Bashir
    Area covered
    United States
    Description

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

  3. u

    Living Costs and Food Survey, 2006-2021: Secure Access

    • beta.ukdataservice.ac.uk
    Updated 2023
    + more versions
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    Food Department For Environment (2023). Living Costs and Food Survey, 2006-2021: Secure Access [Dataset]. http://doi.org/10.5255/ukda-sn-7047-16
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    Dataset updated
    2023
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    datacite
    Authors
    Food Department For Environment
    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 EFS questionnaire was altered to accommodate the insertion of a core set of questions, common to all of the separate modules which together comprise 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 (including the EFS). 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/EFS, including links to published reports based on the survey, may be found on the ONS Living Costs and Food Survey webpage. 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.

    Purpose of the LCF (formerly EFS)
    The Office for National Statistics (ONS) has overall project management and financial responsibility for the LCF/EFS, while the Department for Environment, Food and Rural Affairs (DEFRA) sponsors the food data. 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/EFS is based on the FES, although the use of new processing software by the data creators has resulted in a dataset which differs from the previous FES 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 used in the FES and NFS, which were unique to the two surveys. An additional level of hierarchy has been developed for the EFS to improve the mapping to the previous FES and NFS codes. The LCF/EFS was conducted on a financial year basis from 2001, but was moved from a financial to a calendar year basis from January 2006 in anticipation of the introduction of the IHS. Therefore, whilst SNs 4697, 5003, 5210, 5375 and 5688 cover 2001-2002, 2002-2003, 2004-2005 and 2005-2006 respectively, SN 5986 covers January-December 2006, and subsequent studies cover January-December of the survey year. The documentation for SN 5986 provides further details of the change in methodology.

    Northern Ireland sample
    Users of the LCF/EFS 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.

    Variables available in the Secure Access version
    The Secure Access version includes geographical variables with detail below government office region up to the postcode level, and urban/rural area indicators, as well as other sensitive variables. Also included are the raw diary information files and the family expenditure codes files.

    In response to user demand, the Living Costs and Food Survey moved from a calendar to financial year survey from 2015. See documentation for further details of the change.

    Latest edition information
    For the 16th edition (November 2023), the diary files 'rawdry' and 'rawdryx' for 2020-2021, and the accompanying Volume D Expenditure Codes document, have been replaced with updated versions.

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

    • statista.com
    Updated Mar 13, 2025
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    Umair Bashir (2025). Consumer reactions to the cost of living crisis in the U.S. 2023 [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
    Umair Bashir
    Area covered
    United States
    Description

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

  5. 2

    Data from: LCFS

    • datacatalogue.ukdataservice.ac.uk
    • beta.ukdataservice.ac.uk
    Updated May 11, 2023
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    UK Data Service (2023). LCFS [Dataset]. http://doi.org/10.5255/UKDA-SN-9022-2
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    Dataset updated
    May 11, 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 second edition (May 2023), the DEFRA Family Food database has been added to the study.

  6. G

    Cost of living in | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jan 13, 2024
    + more versions
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    Globalen LLC (2024). Cost of living in | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/cost_of_living_wb/1000/
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    xml, excel, csvAvailable download formats
    Dataset updated
    Jan 13, 2024
    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.

  7. Global inflation rate from 2000 to 2030

    • statista.com
    • abripper.com
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    Statista, Global inflation rate from 2000 to 2030 [Dataset]. https://www.statista.com/statistics/256598/global-inflation-rate-compared-to-previous-year/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2025
    Area covered
    Worldwide
    Description

    Inflation is generally defined as the continued increase in the average prices of goods and services in a given region. Following the extremely high global inflation experienced in the 1980s and 1990s, global inflation has been relatively stable since the turn of the millennium, usually hovering between three and five percent per year. There was a sharp increase in 2008 due to the global financial crisis now known as the Great Recession, but inflation was fairly stable throughout the 2010s, before the current inflation crisis began in 2021. Recent years Despite the economic impact of the coronavirus pandemic, the global inflation rate fell to 3.26 percent in the pandemic's first year, before rising to 4.66 percent in 2021. This increase came as the impact of supply chain delays began to take more of an effect on consumer prices, before the Russia-Ukraine war exacerbated this further. A series of compounding issues such as rising energy and food prices, fiscal instability in the wake of the pandemic, and consumer insecurity have created a new global recession, and global inflation in 2024 is estimated to have reached 5.76 percent. This is the highest annual increase in inflation since 1996. Venezuela Venezuela is the country with the highest individual inflation rate in the world, forecast at around 200 percent in 2022. While this is figure is over 100 times larger than the global average in most years, it actually marks a decrease in Venezuela's inflation rate, which had peaked at over 65,000 percent in 2018. Between 2016 and 2021, Venezuela experienced hyperinflation due to the government's excessive spending and printing of money in an attempt to curve its already-high inflation rate, and the wave of migrants that left the country resulted in one of the largest refugee crises in recent years. In addition to its economic problems, political instability and foreign sanctions pose further long-term problems for Venezuela. While hyperinflation may be coming to an end, it remains to be seen how much of an impact this will have on the economy, how living standards will change, and how many refugees may return in the coming years.

  8. T

    United States Consumer Price Index (CPI)

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 11, 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 11, 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 - Aug 31, 2025
    Area covered
    United States
    Description

    Consumer Price Index CPI in the United States increased to 323.98 points in August from 323.05 points in July 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.

  9. HCI inflation rate in the UK 2022-2025, by household income

    • statista.com
    Updated Feb 18, 2025
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    Statista Research Department (2025). HCI inflation rate in the UK 2022-2025, by household income [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

    The housing costs inflation rate for low-income households in the United Kingdom was noticeably higher than that of high-income ones between April 2022 and April 2023, during a serious cost of living crisis in the UK. As of March 2025, however, the inflation rate for high and medium-income households was slightly higher than that of low incomes ones.

  10. F

    Inflation, consumer prices for the United States

    • fred.stlouisfed.org
    json
    Updated Apr 16, 2025
    + more versions
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    (2025). Inflation, consumer prices for the United States [Dataset]. https://fred.stlouisfed.org/series/FPCPITOTLZGUSA
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    jsonAvailable download formats
    Dataset updated
    Apr 16, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Inflation, consumer prices for the United States (FPCPITOTLZGUSA) from 1960 to 2024 about consumer, CPI, inflation, price index, indexes, price, and USA.

  11. Consumer Price Index, annual average, not seasonally adjusted

    • www150.statcan.gc.ca
    • datasets.ai
    • +1more
    Updated Jan 21, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Consumer Price Index, annual average, not seasonally adjusted [Dataset]. http://doi.org/10.25318/1810000501-eng
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    Dataset updated
    Jan 21, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Annual indexes for major components and special aggregates of the Consumer Price Index (CPI), for Canada, provinces, Whitehorse, Yellowknife and Iqaluit. Data are presented for the last five years. The base year for the index is 2002=100.

  12. Consumer Price Index by product group, monthly, percentage change, not...

    • www150.statcan.gc.ca
    Updated Oct 21, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Consumer Price Index by product group, monthly, percentage change, not seasonally adjusted, Canada, provinces, Whitehorse, Yellowknife and Iqaluit [Dataset]. http://doi.org/10.25318/1810000401-eng
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    Dataset updated
    Oct 21, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Monthly indexes and percentage changes for major 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.

  13. 2

    FRS

    • datacatalogue.ukdataservice.ac.uk
    Updated May 20, 2025
    + more versions
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    Department for Work and Pensions (2025). FRS [Dataset]. http://doi.org/10.5255/UKDA-SN-9252-2
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    Dataset updated
    May 20, 2025
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Department for Work and Pensions
    Time period covered
    Apr 1, 2022 - Mar 31, 2023
    Area covered
    United Kingdom
    Description

    The Family Resources Survey (FRS) has been running continuously since 1992 to meet the information needs of the Department for Work and Pensions (DWP). It is almost wholly funded by DWP.

    The FRS collects information from a large, and representative sample of private households in the United Kingdom (prior to 2002, it covered Great Britain only). The interview year runs from April to March.

    The focus of the survey is on income, and how much comes from the many possible sources (such as employee earnings, self-employed earnings or profits from businesses, and dividends; individual pensions; state benefits, including Universal Credit and the State Pension; and other sources such as savings and investments). Specific items of expenditure, such as rent or mortgage, Council Tax and water bills, are also covered.

    Many other topics are covered and the dataset has a very wide range of personal characteristics, at the adult or child, family and then household levels. These include education, caring, childcare and disability. The dataset also captures material deprivation, household food security and (new for 2021/22) household food bank usage.

    The FRS is a national statistic whose results are published on the gov.uk website. It is also possible to create your own tables from FRS data, using DWP’s Stat Xplore tool. Further information can be found on the gov.uk Family Resources Survey webpage.

    Secure Access FRS data
    In addition to the standard End User Licence (EUL) version, Secure Access datasets, containing unrounded data and additional variables, are also available for FRS from 2005/06 onwards - see SN 9256. Prospective users of the Secure Access version of the FRS will need to fulfil additional requirements beyond those associated with the EUL datasets. Full details of the application requirements are available from http://ukdataservice.ac.uk/media/178323/secure_frs_application_guidance.pdf" style="background-color: rgb(255, 255, 255);">Guidance on applying for the Family Resources Survey: Secure Access.

    FRS, HBAI and PI
    The FRS underpins the related Households Below Average Income (HBAI) dataset, which focuses on poverty in the UK, and the related Pensioners' Incomes (PI) dataset. The EUL versions of HBAI and PI are held under SNs 5828 and 8503, respectively. The Secure Access versions are held under SN 7196 and 9257 (see above).

    FRS 2022-23

    The impact of the coronavirus (COVID-19) pandemic on the FRS 2022-23 survey was much reduced when compared with the two previous survey years. Throughout the year, there was a gradual return to pre-pandemic fieldwork practices, with the majority of interviews being conducted in face-to-face mode. The achieved sample was just over 25,000 households. Users are advised to consult the FRS 2022-23 Background Information and Methodology document for detailed information on changes, developments and issues related to the 2022-23 FRS data set and publication. Alongside the usual topics covered, the 2022-2023 FRS also includes variables for Cost of Living support, including those on certain state benefits; energy bill support; and Council Tax support. See documentation for further details.

    FRS 2021-22 and 2020-21 and the coronavirus (COVID-19) pandemic

    The coronavirus (COVID-19) pandemic has impacted the FRS 2021-22 and 2020-21 data collection in the following ways:

    • In 2020-21, fieldwork operations for the FRS were rapidly changed in response to the coronavirus (COVID-19) pandemic and the introduction of national lockdown restrictions. The established face-to-face interviewing approach employed on the FRS was suspended and replaced with telephone interviewing for the whole of the 2020-21 survey year.
    • This change impacted both the size and composition of the achieved sample. This shift in mode of interview has been accompanied by a substantial reduction in the number of interviews achieved: just over 10,000 interviews were achieved this year, compared with 19,000 to 20,000 in a typical FRS year. While we made every effort to address additional biases identified (e.g. by altering our weighting regime), some residual bias remains. Please see the FRS 2020-21 Background Information and Methodology document for more information.
    • The FRS team have published a technical report for the 2020-21 survey, which provides a full assessment of the impact of the pandemic on the statistics. In line with the Statistics Code of Practice, this is designed to assist users with interpreting the data and to aid transparency over decisions and data quality issues.
    • In 2021-22, the interview mode was largely telephone, with partial return to face-to-face interviews towards end of survey year. The achieved sample was over 16,000 households. This is a return towards the number expected in a normal survey year (around 20,000 households).
    • In both survey years, there remain areas where users are advised to exercise caution when making comparisons to other survey years. More details on how the results for the 2020 to 2021 and 2021-22 survey years were affected by the coronavirus (COVID-19) pandemic can be found in the FRS 2020 to 2021 Background Information and Methodology and FRS 2021 to 2022 Background Information and Methodology.

    The FRS team are seeking users' feedback on the 2020-21 and 2021-22 FRS. Given the breadth of groups covered by the FRS data, it has not been possible for DWP statisticians to assess or validate every breakdown which is of interest to external researchers and users. Therefore, the FRS team are inviting users to let them know of any insights you may have relating to data quality or trends when analysing these data for your area of interest. Please send any feedback directly to the FRS Team Inbox: team.frs@dwp.gov.uk

    Latest edition information

    For the second edition (May 2025), the data were redeposited. The following changes have been made:

    • An ONS-delivered fix to the highest level of qualification (EDUCQUAL) which for several adults had been erroneously recorded.
    • For ESA (benefit 16 on the BENEFITS table) the associated VAR3 has now been populated using ESA admin data, to show whether cases are Support Group etc.
    • For Pension Credit recipients (benefit 4 on the BENEFITS table) adding the low-income benefits and tax credits Cost of Living Payment as benefit 124; with its flag CLPAYIRB set on the ADULT table.
    Further information can be found on the Family Resources Survey - GOV.UK webpage.

  14. Sector contribution to inflation in the UK 2023-2025

    • statista.com
    Updated Feb 18, 2025
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    Statista Research Department (2025). Sector contribution to inflation in the UK 2023-2025 [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

    In August 2025, rising costs in the household services sector contributed the most to the inflation rate in the United Kingdom. That month, CPIH inflation rate stood at 4.1 percent.

  15. T

    Sweden Inflation Rate

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 8, 2025
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    TRADING ECONOMICS (2025). Sweden Inflation Rate [Dataset]. https://tradingeconomics.com/sweden/inflation-cpi
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Oct 8, 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, 1980 - Sep 30, 2025
    Area covered
    Sweden
    Description

    Inflation Rate in Sweden decreased to 0.90 percent in September from 1.10 percent in August of 2025. This dataset provides - Sweden Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  16. T

    India Inflation Rate

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Aug 12, 2025
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    TRADING ECONOMICS (2025). India Inflation Rate [Dataset]. https://tradingeconomics.com/india/inflation-cpi
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    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Aug 12, 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, 2012 - Sep 30, 2025
    Area covered
    India
    Description

    Inflation Rate in India decreased to 1.54 percent in September from 2.07 percent in August of 2025. This dataset provides - India Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  17. T

    Germany Consumer Price Index (CPI)

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Germany Consumer Price Index (CPI) [Dataset]. https://tradingeconomics.com/germany/consumer-price-index-cpi
    Explore at:
    xml, excel, json, csvAvailable download formats
    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
    Germany
    Description

    Consumer Price Index CPI in Germany increased to 122.50 points in September from 122.30 points in August of 2025. This dataset provides the latest reported value for - Germany Consumer Price Index (CPI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  18. f

    Additional inpatient cases/hospitalizations, ICU admissions and deaths (per...

    • plos.figshare.com
    xls
    Updated Jun 4, 2025
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    Adeyemi Okunogbe; Donal Bisanzio; Garrison Spencer; Shradha Chhabria; Jaynaide Powis; Rachel Nugent (2025). Additional inpatient cases/hospitalizations, ICU admissions and deaths (per 10,000 total population in country and as percentage of total COVID-19 outcomes) related to overweight and obesity in 2020 and 2021. [Dataset]. http://doi.org/10.1371/journal.pgph.0001445.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2025
    Dataset provided by
    PLOS Global Public Health
    Authors
    Adeyemi Okunogbe; Donal Bisanzio; Garrison Spencer; Shradha Chhabria; Jaynaide Powis; Rachel Nugent
    License

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

    Description

    Additional inpatient cases/hospitalizations, ICU admissions and deaths (per 10,000 total population in country and as percentage of total COVID-19 outcomes) related to overweight and obesity in 2020 and 2021.

  19. Data for Prayer, Politics, and Policy Related to Age-Adjusted Cancer, Heart...

    • figshare.com
    csv
    Updated Jun 17, 2025
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    Leon Robertson (2025). Data for Prayer, Politics, and Policy Related to Age-Adjusted Cancer, Heart Disease, Infant Mortality, and COVID-19 Death Rates, U.S. States 2018-2021 [Dataset]. http://doi.org/10.6084/m9.figshare.29344994.v2
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 17, 2025
    Dataset provided by
    figshare
    Authors
    Leon Robertson
    License

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

    Area covered
    United States
    Description

    The role of religion and politics in the responses to the coronavirus pandemic raises the question of their influence on the risk of other diseases. This study focuses on age-adjusted death rates of cancer, heart disease, and infant mortality per 1000 live births before the pandemic (2018-2019) and COVID-19 in 2020-2021. Eight hypothesized predictors of health effects were analyzed by examining their correlation to age-adjusted death rates among U.S. states, percentage who pray once or more daily, Republican influence on state health policies as indicated by the percentage vote for Trump in 2016, percent of household incomes below poverty, median family income divided by a cost-of-living index, the Gini income inequality index, urban concentration of the population, physicians per capita, and public health expenditures per capita. Since prayer for divine intervention is common to otherwise diverse religious beliefs and practices, the percentage of people claiming to pray daily in each state was used to indicate potential religious influence. All of the death rates were higher in states where more people claimed to pray daily, and where Trump received a larger percentage of the vote. Except for COVID-19, the death rates were consistently lower in states with higher public health expenditures per capita. Only COVID-19 was correlated to physicians per capita, lower where there were more physicians. Corrected statistically for the other factors, income per cost of living explains no variance. Heart disease and COVID-19 death rates were higher in areas with more income inequality. All of the disease rates were in correlation with more rural populations. Correlation of daily prayer with smoking cigarettes, and neglect of public health recommendations for fruit and vegetable consumption and COVID-19 vaccination suggests that prayer may be substituted for preventive practices.

  20. U.S. consumer Price Index of all urban consumers 1992-2024

    • statista.com
    Updated Feb 10, 2025
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    Statista (2025). U.S. consumer Price Index of all urban consumers 1992-2024 [Dataset]. https://www.statista.com/statistics/190974/unadjusted-consumer-price-index-of-all-urban-consumers-in-the-us-since-1992/
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    Dataset updated
    Feb 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2024, the consumer price index (CPI) was 315.61. Data represents U.S. city averages. The monthly inflation rate for the United States can be found here. United States urban Consumer Price Index (CPI) The U.S. Consumer Price Index is a measure of change in the price of consumer goods and services purchased by households. The CPI is defined by the United States Bureau of Labor Statistics as "a measure of the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services." To calculate the CPI, the Bureau of Labor Statistics considers the price of goods and services from various categories: housing, transportation, apparel, food & beverage, medical care, recreation, education and other/uncategorized. The CPI is a useful measure, as it indicates how the cost of urban living in the United States has changed over time, compared to a base period. CPI is also used to calculate inflation, or change in the purchasing power of money. According to the U.S. Bureau of Labor Statistics, the U.S. urban CPI has been rising steadily since 1992. As of 2023, the CPI was 304.7, up from 233 ten years earlier and up from 184 twenty years earlier. This indicates the extent to which, compared to a base period 1982-1984 = 100, the price of various goods and services has risen.

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Statista Research Department (2025). Consumer price index for rent of primary residence in the U.S. 2000-2024 [Dataset]. https://www.statista.com/topics/768/cost-of-living/
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Consumer price index for rent of primary residence in the U.S. 2000-2024

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2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Mar 13, 2025
Dataset provided by
Statistahttp://statista.com/
Authors
Statista Research Department
Area covered
United States
Description

Residential rents in urban areas in the United States have grown faster than the general basket of products and services of the urban population. In 2024, the consumer price index (CPI) for rent of primary residences reached 420 index points, more than 100 index points more than the CPI for all items. The CPI measures the development of prices, with 1984 chosen as a base year. An index value of 400 indicates that rents have quadrupled since 1984.

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