13 datasets found
  1. Housing Price Index Weights

    • data.europa.eu
    csv, json
    Updated Feb 3, 2025
    + more versions
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    Valstybės duomenų agentūra (2025). Housing Price Index Weights [Dataset]. https://data.europa.eu/88u/dataset/https-data-gov-lt-datasets-2521-
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    csv, jsonAvailable download formats
    Dataset updated
    Feb 3, 2025
    Dataset provided by
    State Data Agency of Lithuaniahttps://vda.lrv.lt/
    Authors
    Valstybės duomenų agentūra
    License

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

    Description

    The package includes the weights of the house price index. “Weight” means the percentage or promil of the relative share of household monetary expenditure for the purchase of land-based housing belonging to the basic population of the CCI. The higher the weight, the greater the impact of a change in the price level of a land-based housing classification on the price development of a higher level of land-based housing classification. “Weight reference period” means the period during which the weight of the index is calculated. The following procedures for checking and editing the statistics received are carried out: rejecting transactions in which the purchased dwellings are unfit for life due to a lack of completion (< 80%), analysing the purchase-sale transaction data of the dwellings attributed to each basic whole compared to the previous quarters. The editing and validation of data shall be carried out using a computer program for checking price statistics. The resulting price trends are compared to the trends in house prices recorded by real estate agencies. Information on factors influencing changes in house prices is regularly monitored in the press, surveys and reports published by other companies and institutions. The main source of statistical data for the calculation of the CCI is the data of the Real Property Register of the Centre of Registers of the SE and the databases of transactions. Source data is obtained quarterly. The BKI base period is 2015 (2015: 100). Another change to the CCI base period is foreseen for 2026, the former time line will be converted into a new index base period and published after calculation in QI 2026. CCI

  2. T

    United Kingdom House Price Index

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 15, 2025
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    TRADING ECONOMICS (2025). United Kingdom House Price Index [Dataset]. https://tradingeconomics.com/united-kingdom/housing-index
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    Jul 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, 1983 - Jul 31, 2025
    Area covered
    United Kingdom
    Description

    Housing Index in the United Kingdom increased to 514.30 points in July from 512.40 points in June of 2025. This dataset provides - United Kingdom House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  3. T

    Malaysia House Price Index

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +12more
    csv, excel, json, xml
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    TRADING ECONOMICS, Malaysia House Price Index [Dataset]. https://tradingeconomics.com/malaysia/housing-index
    Explore at:
    csv, xml, excel, jsonAvailable 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
    Mar 31, 2009 - Dec 31, 2024
    Area covered
    Malaysia
    Description

    Housing Index in Malaysia decreased to 224.20 Index in the fourth quarter of 2024 from 228.30 Index in the third quarter of 2024. This dataset provides - Malaysia House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  4. T

    Hong Kong Private Residential Price Index MoM

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +6more
    csv, excel, json, xml
    Updated Jul 15, 2025
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    TRADING ECONOMICS (2025). Hong Kong Private Residential Price Index MoM [Dataset]. https://tradingeconomics.com/hong-kong/house-price-index-mom
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    json, excel, xml, csvAvailable download formats
    Dataset updated
    Jul 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
    Feb 28, 1993 - Jul 31, 2025
    Area covered
    Hong Kong
    Description

    House Price Index MoM in Hong Kong decreased to 0.56 percent in July from 0.57 percent in June of 2025. This dataset includes a chart with historical data for Hong Kong Private Residential Price Index MoM.

  5. 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.

  6. Existing own homes; purchase prices, price indices 2020=100

    • data.overheid.nl
    atom, json
    Updated Jul 22, 2025
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    Centraal Bureau voor de Statistiek (Rijk) (2025). Existing own homes; purchase prices, price indices 2020=100 [Dataset]. https://data.overheid.nl/en/dataset/d51ebdf7-9302-49b9-a601-ff7a5ca15ab1
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    atom(KB), json(KB)Available download formats
    Dataset updated
    Jul 22, 2025
    Dataset provided by
    Statistics Netherlands
    License

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

    Description

    The price index for existing own dwellings (in Dutch PBK) aims to reflect the changes in prices of the sold existing own dwellings. The dwelling must be located on Dutch territory and sold to a private person. In addition, figures on the number of transactions, the average selling price, and the total value of the selling prices of the sold homes are also available. The price index figures for existing homes are based on a comprehensive registration of home sales transactions by the Kadaster and the WOZ values of all homes in the Netherlands. Index series can fluctuate. It is advisable to use the long-term trends of the price index figures. The average selling price may show a different trend than the price index for existing homes. The development of the average selling price is not an indicator of the price development of existing homes.

    Data available from: January 1995

    Status of the figures: The figures in this table are immediately definitive. The calculation of these figures is based on the number of notary transactions that are registered every month by the Dutch Land Registry Office (Kadaster). A revision of the figures is exceptional and occurs specifically if an error significantly exceeds the acceptable statistical margins. The numbers of existing owner-occupied sold homes can be recalculated by Kadaster at a later date. These figures are usually the same as the publication on Statline, but in some periods they differ. Kadaster calculates the average purchasing prices based on the most recent data. These may have changed since the first publication. Statistics Netherlands uses figures from the first publication in accordance with the revision policy described above.

    Changes as of 22 July 2025: New figures for June and the 2nd quarter 2025 are added.

    When will new figures be published? New figures are published about 22 days after the period under review.

  7. T

    Euro Area House Price Index

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Euro Area House Price Index [Dataset]. https://tradingeconomics.com/euro-area/housing-index
    Explore at:
    json, xml, csv, excelAvailable 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
    Mar 31, 2005 - Mar 31, 2025
    Area covered
    Euro Area
    Description

    Housing Index In the Euro Area increased to 150.39 points in the first quarter of 2025 from 148.47 points in the fourth quarter of 2024. This dataset provides the latest reported value for - Euro Area House Price Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  8. U.S. projected Consumer Price Index 2010-2029

    • statista.com
    Updated Aug 21, 2024
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    Statista (2024). U.S. projected Consumer Price Index 2010-2029 [Dataset]. https://www.statista.com/statistics/244993/projected-consumer-price-index-in-the-united-states/
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    Dataset updated
    Aug 21, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the U.S. Consumer Price Index was 309.42, and is projected to increase to 352.27 by 2029. The base period was 1982-84. The monthly CPI for all urban consumers in the U.S. can be accessed here. After a time of high inflation, the U.S. inflation rateis projected fall to two percent by 2027. United States Consumer Price Index ForecastIt is projected that the CPI will continue to rise year over year, reaching 325.6 in 2027. The Consumer Price Index of all urban consumers in previous years was lower, and has risen every year since 1992, except in 2009, when the CPI went from 215.30 in 2008 to 214.54 in 2009. The monthly unadjusted Consumer Price Index was 296.17 for the month of August in 2022. The U.S. CPI measures changes in the price of consumer goods and services purchased by households and is thought to reflect inflation in the U.S. as well as the health of the economy. The U.S. Bureau of Labor Statistics calculates the CPI and defines it 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." The BLS records the price of thousands of goods and services month by month. They consider goods and services within eight main categories: food and beverage, housing, apparel, transportation, medical care, recreation, education, and other goods and services. They aggregate the data collected in order to compare how much it would cost a consumer to buy the same market basket of goods and services within one month or one year compared with the previous month or year. Given that the CPI is used to calculate U.S. inflation, the CPI influences the annual adjustments of many financial institutions in the United States, both private and public. Wages, social security payments, and pensions are all affected by the CPI.

  9. Annual change in house prices in the UK 2015-2025, by month

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Annual change in house prices in the UK 2015-2025, by month [Dataset]. https://www.statista.com/statistics/751619/house-price-change-uk/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2015 - Apr 2025
    Area covered
    United Kingdom
    Description

    House prices in the UK rose dramatically during the coronavirus pandemic, with growth slowing down in 2022 and turning negative in 2023. The year-on-year annual house price change peaked at 14 percent in July 2022. In April 2025, house prices increased by 3.5 percent. As of late 2024, the average house price was close to 290,000 British pounds. Correction in housing prices: a European phenomenon The trend of a growing residential real estate market was not exclusive to the UK during the pandemic. Likewise, many European countries experienced falling prices in 2023. When comparing residential property RHPI (price index in real terms, e.g. corrected for inflation), countries such as Germany, France, Italy, and Spain also saw prices decline. Sweden, one of the countries with the fastest growing residential markets, saw one of the largest declines in prices. How has demand for UK housing changed since the outbreak of the coronavirus? The easing of the lockdown was followed by a dramatic increase in home sales. In November 2020, the number of mortgage approvals reached an all-time high of over 107,000. One of the reasons for the housing boom were the low mortgage rates, allowing home buyers to take out a loan with an interest rate as low as 2.5 percent. That changed as the Bank of England started to raise the base lending rate, resulting in higher borrowing costs and a decline in homebuyer sentiment.

  10. U

    United States PCE: PI: Less Formula Effect: Housing

    • ceicdata.com
    Updated Nov 15, 2009
    + more versions
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    CEICdata.com (2009). United States PCE: PI: Less Formula Effect: Housing [Dataset]. https://www.ceicdata.com/en/united-states/nipa-2009-personal-consumption-expenditure-price-index-and-cpi-reconciliation-monthly/pce-pi-less-formula-effect-housing
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    Dataset updated
    Nov 15, 2009
    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
    Jun 1, 2012 - May 1, 2013
    Area covered
    United States
    Variables measured
    Gross Domestic Product
    Description

    United States PCE: PI: Less Formula Effect: Housing data was reported at 0.000 Point in May 2013. This stayed constant from the previous number of 0.000 Point for Apr 2013. United States PCE: PI: Less Formula Effect: Housing data is updated monthly, averaging 0.000 Point from Jan 2002 (Median) to May 2013, with 137 observations. United States PCE: PI: Less Formula Effect: Housing data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s United States – Table US.A273: NIPA 2009: PCE Price Index and CPI Reconciliation.

  11. f

    Comparison of GCPI and SIBOR.

    • plos.figshare.com
    bin
    Updated Aug 11, 2023
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    Shiting Ding; Qintian Pan; Yanming Zhang; Jingru Zhang; Qiong Yang; Jingdong Luan (2023). Comparison of GCPI and SIBOR. [Dataset]. http://doi.org/10.1371/journal.pone.0290079.t003
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    binAvailable download formats
    Dataset updated
    Aug 11, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Shiting Ding; Qintian Pan; Yanming Zhang; Jingru Zhang; Qiong Yang; Jingdong Luan
    License

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

    Description

    The Chinese economy has undergone a long-term transition reform, but there is still a planned economy characteristic in the financial sector, which is financial repression. Due to the existence of financial repression, China’s actual interest rate level should be lower than the Consumer Price Index (CPI). However, based on official China’s interest rates and CPI, over half of the years China’s actual interest rate remained higher than CPI by our calculation from 1999 to 2022. This is inconsistent with the financial repression that exists in China, and the main reason is the calculation methods of China’s CPI. China’s CPI measurement system originated from the planned economy era, which did not fully consider the rise in housing purchase prices, so the current CPI measurement system can be more realistically presented by taking the rise in housing prices into consider. The core idea of this study is to mining relevant official statistical data and calculate the proportion of Chinese residents’ expenditure on purchasing houses to their total expenditure. By taking the proportion of house purchases as the weight of house price factor, and taking the proportion of other consumption as the weight of official CPI, the Generalized CPI (GCPI) is formulated. The GCPI is then compared with market interest rates to determine the actual interest rate situation in China over the past 20 years. This study has found that if GCPI is used as a measure, China’s real interest rates have been negative for most years since 1999. Chinese residents have suffered the negative effects of financial repression over the past 20 years, and their property income cannot keep up with the actual losses caused by inflation. Therefore, it is believed that China’s CPI calculation method should be adjusted to take into account the rise in housing prices, so China’s actual inflation level could be more accurately reflected. In view of the above, deepening interest rate marketization reform and expand channels for financial investment are the future development goals of China’s financial system.

  12. f

    Household-specific inflation rates for Italy 2015-2023

    • figshare.com
    csv
    Updated Dec 13, 2024
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    Leonardo Ciambezi; Alessandro Pietropaoli (2024). Household-specific inflation rates for Italy 2015-2023 [Dataset]. http://doi.org/10.6084/m9.figshare.26105755.v2
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    csvAvailable download formats
    Dataset updated
    Dec 13, 2024
    Dataset provided by
    figshare
    Authors
    Leonardo Ciambezi; Alessandro Pietropaoli
    License

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

    Area covered
    Italy
    Description

    The file "dataset_regression_income.csv" contains a dataset developed in the analysis of inflation heterogeneity for Italian Households in the period 2015-2023.The dataset is the outcome of merging the yearly Household Budget Surveys (HBS) conducted by the Italian National Institute of Statistics (Istat), the Harmonised Index of Consumer Prices (HICP) which is calculated monthly by Istat, according to EU regulations, and the Survey on Households Income and Wealth (SHIW) conducted by Bank of Italy.Mapping price information into consumption decisions and aggregating an individual price index for each household according to a Laspeyres Formula leads to the computation of household-level inflation rates.Furthermore, we compute non-durable equivalent expenditure for each household as a proxy of living standards. The variable is obtained by subtracting durable expenditure from total aggregate expenditure and scaling down by an household equivalent scale (in the benchmark specification, the square root of the household size). The decile distribution of the variable is also computed.Finally, we apply a statistical matching procedure to integrate income information from SHIW data sources. The output is a synthetic dataset containing both expenditure and income information that preserves the joint distribution and correlation structures of the original datasets.The file "ISTAT_MFR_HBS_EUR.csv" is a conversion table that maps ECOICOP items to HBS expenditure voices.

  13. RPI inflation rate in the UK 2015-2025

    • statista.com
    Updated Aug 20, 2025
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    Statista (2025). RPI inflation rate in the UK 2015-2025 [Dataset]. https://www.statista.com/statistics/285203/percentage-change-of-the-retail-price-index-rpi-in-the-uk/
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    Dataset updated
    Aug 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2015 - Jul 2025
    Area covered
    United Kingdom
    Description

    The inflation rate for the Retail Price Index (RPI) in the United Kingdom was 4.8 percent in June 2025, up from 4.4 percent in the previous month. From 2021 onwards, prices in the UK rose rapidly, with the RPI inflation rate peaking at 14.2 percent in October 2022. Although inflation fell in subsequent months, it wasn't until July 2023 that inflation fell below double digits, and as of late 2024, the RPI rate was still above three percent. The CPI and CPIH While the retail price index is still a popular method of calculating inflation, the consumer price index (CPI) is the current main measurement of inflation in the UK. There is also an additional price index, which includes some extra housing costs, known as the Consumer Price Index including homer occupiers' costs (CPIH) index, which is seen by the UK's Office of National Statistics as the official inflation rate. As of December 2024, the CPI inflation rate stood at 2.5 percent, while the CPIH rate was 3.5 percent. Core inflation down in 2024 Another way of measuring inflation is to strip out the volatility of energy and food prices and look at the underlying core inflation rate. As of December 2024, this was 3.2 percent, slightly higher than the overall CPI rate, but more aligned with the overall figure than it was in 2022 and 2023. When inflation peaked at 11.2 percent in October 2022, for example, core inflation stood at just 6.5 percent. After energy prices in 2023 fell relative to 2022, the overall inflation rate in the UK declined quite rapidly, with core inflation overtaking the overall rate in July 2023. During the most recent period of high inflation, core inflation peaked at 7.1 percent in May 2023, and while taking longer to fall than the overall figure, has generally been declining since then.

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Valstybės duomenų agentūra (2025). Housing Price Index Weights [Dataset]. https://data.europa.eu/88u/dataset/https-data-gov-lt-datasets-2521-
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Housing Price Index Weights

Explore at:
csv, jsonAvailable download formats
Dataset updated
Feb 3, 2025
Dataset provided by
State Data Agency of Lithuaniahttps://vda.lrv.lt/
Authors
Valstybės duomenų agentūra
License

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

Description

The package includes the weights of the house price index. “Weight” means the percentage or promil of the relative share of household monetary expenditure for the purchase of land-based housing belonging to the basic population of the CCI. The higher the weight, the greater the impact of a change in the price level of a land-based housing classification on the price development of a higher level of land-based housing classification. “Weight reference period” means the period during which the weight of the index is calculated. The following procedures for checking and editing the statistics received are carried out: rejecting transactions in which the purchased dwellings are unfit for life due to a lack of completion (< 80%), analysing the purchase-sale transaction data of the dwellings attributed to each basic whole compared to the previous quarters. The editing and validation of data shall be carried out using a computer program for checking price statistics. The resulting price trends are compared to the trends in house prices recorded by real estate agencies. Information on factors influencing changes in house prices is regularly monitored in the press, surveys and reports published by other companies and institutions. The main source of statistical data for the calculation of the CCI is the data of the Real Property Register of the Centre of Registers of the SE and the databases of transactions. Source data is obtained quarterly. The BKI base period is 2015 (2015: 100). Another change to the CCI base period is foreseen for 2026, the former time line will be converted into a new index base period and published after calculation in QI 2026. CCI

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