100+ datasets found
  1. Countries Cost of living Index 2024

    • kaggle.com
    Updated Nov 10, 2024
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    TejalKomb (2024). Countries Cost of living Index 2024 [Dataset]. https://www.kaggle.com/datasets/tejalkomb/countries-cost-of-living-index-2024/discussion
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 10, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    TejalKomb
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Dataset

    This dataset was created by TejalKomb

    Released under MIT

    Contents

  2. 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.

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

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Aug 23, 2024
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    Office for National Statistics (2024). Living Costs and Food Survey: technical report data tables [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/personalandhouseholdfinances/expenditure/datasets/livingcostsandfoodsurveytechnicalreportdatatables
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    xlsxAvailable download formats
    Dataset updated
    Aug 23, 2024
    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

    Characteristics of sampled households in the Living Costs and Food Survey.

  4. G

    Guinea Cost of living - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated May 26, 2021
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    Globalen LLC (2021). Guinea Cost of living - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Guinea/cost_of_living_wb/
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    xml, csv, excelAvailable download formats
    Dataset updated
    May 26, 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
    Guinea
    Description

    Guinea: Cost of living index, world average = 100: The latest value from 2021 is 47.59 index points, a decline from 50.48 index points in 2017. In comparison, the world average is 79.81 index points, based on data from 165 countries. Historically, the average for Guinea from 2017 to 2021 is 49.04 index points. The minimum value, 47.59 index points, was reached in 2021 while the maximum of 50.48 index points was recorded in 2017.

  5. Cost of Living Survey & Statistics 2024

    • budgetdirect.com.au
    • budget2017.info
    Updated Jun 19, 2024
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    Budget Direct (2024). Cost of Living Survey & Statistics 2024 [Dataset]. https://www.budgetdirect.com.au/life-insurance/articles/cost-of-living-survey-statistics.html
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    Dataset updated
    Jun 19, 2024
    Dataset authored and provided by
    Budget Directhttps://www.budgetdirect.com.au/
    Area covered
    Australia
    Variables measured
    Cost of living expenses
    Description

    Find out how Australians feel about the increasing cost of living in our latest survey, as well as the latest data from the Cost of Living Index in 2024.

  6. T

    United States Consumer Price Index (CPI)

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

    Consumer Price Index CPI in the United States increased to 321.47 points in May from 320.80 points in April 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.

  7. 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.

  8. Family Resources Survey, 2023-2024

    • beta.ukdataservice.ac.uk
    • datacatalogue.cessda.eu
    Updated 2025
    + more versions
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    Department For Work And Pensions (2025). Family Resources Survey, 2023-2024 [Dataset]. http://doi.org/10.5255/ukda-sn-9367-1
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    Dataset updated
    2025
    Dataset provided by
    DataCitehttps://www.datacite.org/
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Department For Work And Pensions
    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 2023-24

    Alongside the usual topics covered, the 2023-2024 FRS includes new variables on veterans (ex-armed forces, former regulars and reserves); care leavers (where young adults were previously living in care, during their teenage years); and, for the self-employed, length of time in that occupation. For doctors, we add clarifying variables for NHS vs private earnings streams. There are new variables on food support from friends/relatives, which complement the existing food bank and household food security set. 2023-2024 also includes Cost of Living Payment variables, including those on certain state benefits and the Warm Homes Discount scheme.

    The achieved sample was over 16,500 households (28,500+ adults). A large majority of interviews were face-to-face with a minority being by telephone.

    The BENUNIT table contains a raft of variables on the new material deprivation question set; see GOV.UK for background.

    This version of the dataset (End User Licence) adds the DEBT table for the first time this year. The table contains responses on credit card debt, loan debt, hire purchase debt and store card debt.

    Please send any feedback directly to the FRS Team Inbox: team.frs@dwp.gov.uk

    Documentation

    Many variables in the data files are fully labelled, but additional details can be found in the frs2324_variable_listing_eul.xlsx document.

  9. Russia Population with Income per Capita below Living Cost: % of Total: CF:...

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Russia Population with Income per Capita below Living Cost: % of Total: CF: Moscow Region [Dataset]. https://www.ceicdata.com/en/russia/population-with-income-per-capita-below-living-cost/population-with-income-per-capita-below-living-cost--of-total-cf-moscow-region
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    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, 2009 - Dec 1, 2020
    Area covered
    Russia
    Variables measured
    Population
    Description

    Population with Income per Capita below Living Cost: % of Total: CF: Moscow Region data was reported at 4.900 % in 2024. This records a decrease from the previous number of 5.500 % for 2023. Population with Income per Capita below Living Cost: % of Total: CF: Moscow Region data is updated yearly, averaging 9.850 % from Dec 1995 (Median) to 2024, with 30 observations. The data reached an all-time high of 35.200 % in 2000 and a record low of 4.900 % in 2024. Population with Income per Capita below Living Cost: % of Total: CF: Moscow Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Demographic and Labour Market – Table RU.GA015: Population with Income per Capita below Living Cost.

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

    • statista.com
    Updated Sep 16, 2024
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    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/
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    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 ****. 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.

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

    • statista.com
    • ai-chatbox.pro
    Updated Jun 20, 2025
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    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/
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    Dataset updated
    Jun 20, 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 ******* 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 ******* 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 **** percent in 2023.

  12. Real Estate Data London 2024

    • kaggle.com
    Updated Nov 18, 2024
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    Dwipayan Mondal (2024). Real Estate Data London 2024 [Dataset]. https://www.kaggle.com/datasets/dwipayanmondal/real-estate-data-london-2024
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 18, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Dwipayan Mondal
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    London
    Description

    About Dataset

    Dataset Overview This dataset provides a snapshot of real estate transactions in London for 2024. It includes key property details such as the number of bedrooms, bathrooms, living space size, lot size, and transaction price. Additionally, it incorporates information about property features like waterfront views, renovation history, and construction quality. Designed for educational and research purposes, the dataset offers insights into London's real estate market trends and serves as a valuable resource for data analysis and machine learning applications.

    Data Science Applications This dataset is ideal for students, researchers, and professionals seeking to apply data science techniques to real-world real estate data. Potential applications include:

    Exploratory Data Analysis (EDA): Investigate price trends, property characteristics, and geographical distribution of transactions. Price Prediction Models: Develop machine learning models to predict property prices based on features like size, location, and condition. Trend Analysis: Analyze historical and geographical trends in property prices and features. Geospatial Analysis: Map properties based on latitude and longitude to identify hotspots or underserved areas.

    Column Descriptions

    Column NameDescription
    idUnique identifier for the property listing.
    dateTransaction date in YYYYMMDDT000000 format.
    priceSale price of the property in GBP (£).
    bedroomsNumber of bedrooms in the property.
    bathroomsNumber of bathrooms in the property.
    sqft_livingLiving area size in square feet.
    sqft_lotLot size in square feet.
    floorsNumber of floors in the property.
    waterfrontIndicates if the property has a waterfront view (1: Yes, 0: No).
    viewProperty view rating (scale of 0–4).
    conditionProperty condition rating (scale of 1–5, 5 being best).
    gradeProperty construction and design rating (scale of 1–13, higher is better).
    sqft_aboveSquare footage of the property above ground level.
    sqft_basementSquare footage of the basement area.
    yr_builtYear the property was built.
    yr_renovatedYear the property was last renovated (0 if never renovated).
    zipcodeZip code of the property's location.
    latLatitude coordinate of the property.
    longLongitude coordinate of the property.
    sqft_living15Average living area square footage of 15 nearby properties.
    sqft_lot15Average lot size square footage of 15 nearby properties.

    Ethically Mined Data This dataset was ethically sourced from publicly available property listings. It does not include any Personally Identifiable Information (PII) or data that could infringe on individual privacy. All information represents public details about properties for sale in London.

    Acknowledgements

    Data Source: Real estate data provided from publicly accessible resources. Image Credit: Unsplash for real estate-themed visuals. Use this dataset responsibly for educational and analytical purposes!

  13. V

    Quality-of-life-by-state

    • data.virginia.gov
    csv
    Updated Apr 17, 2024
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    Datathon 2024 (2024). Quality-of-life-by-state [Dataset]. https://data.virginia.gov/dataset/quality-of-life-by-state
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    csv(1738)Available download formats
    Dataset updated
    Apr 17, 2024
    Dataset authored and provided by
    Datathon 2024
    Description

    Quality of life is a measure of comfort, health, and happiness by a person or a group of people. Quality of life is determined by both material factors, such as income and housing, and broader considerations like health, education, and freedom. Each year, US & World News releases its “Best States to Live in” report, which ranks states on the quality of life each state provides its residents. In order to determine rankings, U.S. News & World Report considers a wide range of factors, including healthcare, education, economy, infrastructure, opportunity, fiscal stability, crime and corrections, and the natural environment. More information on these categories and what is measured in each can be found below:

    Healthcare includes access, quality, and affordability of healthcare, as well as health measurements, such as obesity rates and rates of smoking. Education measures how well public schools perform in terms of testing and graduation rates, as well as tuition costs associated with higher education and college debt load. Economy looks at GDP growth, migration to the state, and new business. Infrastructure includes transportation availability, road quality, communications, and internet access. Opportunity includes poverty rates, cost of living, housing costs and gender and racial equality. Fiscal Stability considers the health of the government's finances, including how well the state balances its budget. Crime and Corrections ranks a state’s public safety and measures prison systems and their populations. Natural Environment looks at the quality of air and water and exposure to pollution.

  14. W

    Oklahoma Utilities cost index

    • knoema.com
    csv, json, sdmx, xls
    Updated Mar 17, 2025
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    Knoema (2025). Oklahoma Utilities cost index [Dataset]. https://knoema.com/atlas/Estados-Unidos-de-Am%C3%A9rica/Oklahoma/topics/Income-and-Welfare/Cost-of-Living/Utilities-cost-index?view=snowflake
    Explore at:
    xls, json, csv, sdmxAvailable download formats
    Dataset updated
    Mar 17, 2025
    Dataset authored and provided by
    Knoema
    Time period covered
    Jan 1, 2021 - Jul 1, 2024
    Area covered
    Oklahoma
    Variables measured
    Utilities cost index
    Description

    Utilities cost index of Oklahoma improved by 3.32% from 93.4 index, higher means higher cost of living in 2024Q2 to 96.5 index, higher means higher cost of living in 2024Q3. Since the 2.58% reduction in 2023Q3, utilities cost index grew by 2.12% in 2024Q3.

  15. U.S. 12-month percentage of change CPI-U 2025, by expenditure category

    • statista.com
    Updated Mar 11, 2025
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    Statista (2025). U.S. 12-month percentage of change CPI-U 2025, by expenditure category [Dataset]. https://www.statista.com/statistics/216055/annual-percentage-of-change-in-the-us-cpi-u-by-expenditure-category/
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    Dataset updated
    Mar 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2025
    Area covered
    United States
    Description

    In January 2025, gasoline prices were around 0.2 percent lower than in January 2024. The data represents city averages in the United States. The defined base period is: 1982-84=100. 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". It is based on prices of food, clothing, shelter, fuels, transportation fares, charges for doctors’ and dentists’ services, drugs, and other goods and services that people buy for day-to-day living. The annual inflation rate in the U.S. since 1990 can be accessed here.

  16. g

    Data tables for Annual Supplement to Handbook 135 - 2024 Release | gimi9.com...

    • gimi9.com
    Updated Dec 4, 2024
    + more versions
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    (2024). Data tables for Annual Supplement to Handbook 135 - 2024 Release | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_data-tables-for-annual-supplement-to-handbook-135-2024-release/
    Explore at:
    Dataset updated
    Dec 4, 2024
    Description

    Data tables for the 2024 edition of energy price indices and discount factors for performing life-cycle cost analyses of energy and water conservation and renewable energy projects in federal facilities. These data tables are associated with the 2024 release of the Annual Supplement to NIST Handbook 135 (HB 135, Life-Cycle Costing Manual for the Federal Energy Management Program).

  17. e

    Imbalance prices per quarter-hour (Historical data - up to 22/05/2024)

    • opendata.elia.be
    • external-elia.opendatasoft.com
    csv, excel, json
    Updated May 21, 2025
    + more versions
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    (2025). Imbalance prices per quarter-hour (Historical data - up to 22/05/2024) [Dataset]. https://opendata.elia.be/explore/dataset/ods047/
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    csv, excel, jsonAvailable download formats
    Dataset updated
    May 21, 2025
    Description

    System imbalance prices applied if an imbalance is found between injections and offtakes in a balance responsible parties (BRPs) balance area. When imbalance prices are published on a quarter-hourly basis, the published prices have not yet been validated and can therefore only be used as an indication of the imbalance price.Only after the published prices have been validated can they be used for invoicing purposes. The records for month M are validated after the 15th of month M+1. Contains the historical data and is refreshed daily.This dataset contains data until 21/05/2024 (before MARI local go-live).

  18. Russia Population with Income per Capita below Living Cost: % of Total: CF:...

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Russia Population with Income per Capita below Living Cost: % of Total: CF: Kursk Region [Dataset]. https://www.ceicdata.com/en/russia/population-with-income-per-capita-below-living-cost/population-with-income-per-capita-below-living-cost--of-total-cf-kursk-region
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    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, 2009 - Dec 1, 2020
    Area covered
    Russia
    Variables measured
    Population
    Description

    Population with Income per Capita below Living Cost: % of Total: CF: Kursk Region data was reported at 6.300 % in 2024. This records a decrease from the previous number of 7.600 % for 2023. Population with Income per Capita below Living Cost: % of Total: CF: Kursk Region data is updated yearly, averaging 10.950 % from Dec 1995 (Median) to 2024, with 30 observations. The data reached an all-time high of 42.200 % in 2000 and a record low of 6.300 % in 2024. Population with Income per Capita below Living Cost: % of Total: CF: Kursk Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Demographic and Labour Market – Table RU.GA015: Population with Income per Capita below Living Cost.

  19. B

    Tuition and Living Accommodation Costs for Full-time Students at Canadian...

    • borealisdata.ca
    Updated Jan 30, 2024
    + more versions
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    Statistics Canada (2024). Tuition and Living Accommodation Costs for Full-time Students at Canadian Degree-granting Institutions, 2023-2024 [Excel] [Dataset]. http://doi.org/10.5683/SP3/FWBYM1
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 30, 2024
    Dataset provided by
    Borealis
    Authors
    Statistics Canada
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.5683/SP3/FWBYM1https://borealisdata.ca/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.5683/SP3/FWBYM1

    Time period covered
    2023 - 2024
    Area covered
    Canada
    Description

    The objective of this survey is to gather information on tuition fees, living accommodation costs at residences/housing and additional compulsory fees paid by full-time university students at Canadian universities. Data are collected annually by questionnaire through the Registrar or the Business Office of universities. Survey results are available at the end of August. Data for undergraduate programs are available by institution, by province, by program and by type of students (Canadian or Foreign). Data for graduate programs are available by institution, by province and by type of students (Canadian or Foreign). Additional compulsory fees are available by institution, by province and by type (athletics, health services, student association, and other). Living accommodation costs at residence/housing are available by institution, by type of students (single or married) and by type of costs (room, meal plan,or both). For current TLAC data refer to Statistics Canada. Access data here

  20. D

    Housing costs of households; dwelling characteristics, region

    • staging.dexes.eu
    • dexes.eu
    • +4more
    atom, json
    Updated Jun 18, 2025
    + more versions
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    Centraal Bureau voor de Statistiek (2025). Housing costs of households; dwelling characteristics, region [Dataset]. https://staging.dexes.eu/en/dataset/housing-costs-of-households-dwelling-characteristics-region
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    atom, jsonAvailable download formats
    Dataset updated
    Jun 18, 2025
    Dataset authored and provided by
    Centraal Bureau voor de Statistiek
    License

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

    Description

    This table contains figures on the housing costs of private households in independent homes. Households living (temporarily) in a house free of charge are not included. The figures are presented for both owners and tenants and can be further divided into various characteristics of the household and the dwelling, including region. Figures at the municipal level are only provided for municipalities who had more than 100.000 inhabitants in 2018. Data available from: 2012 Status of the figures: final Changes as of June 9, 2022: Revision figures 2012, 2015 and 2018 in connection with new calculation method and adaptation of housing policy to 2021 regulations. When will new figures be published? Figures over reporting year 2024 will be published in 2025.

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TejalKomb (2024). Countries Cost of living Index 2024 [Dataset]. https://www.kaggle.com/datasets/tejalkomb/countries-cost-of-living-index-2024/discussion
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Countries Cost of living Index 2024

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CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Nov 10, 2024
Dataset provided by
Kagglehttp://kaggle.com/
Authors
TejalKomb
License

MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically

Description

Dataset

This dataset was created by TejalKomb

Released under MIT

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