57 datasets found
  1. Consumer Price Index (CPI)

    • catalog.data.gov
    • cloud.csiss.gmu.edu
    • +1more
    Updated May 16, 2022
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    Bureau of Labor Statistics (2022). Consumer Price Index (CPI) [Dataset]. https://catalog.data.gov/dataset/consumer-price-index-cpi-ee18b
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    Dataset updated
    May 16, 2022
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Description

    The Consumer Price Index (CPI) is a measure of the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services. Indexes are available for the U.S. and various geographic areas. Average price data for select utility, automotive fuel, and food items are also available. Prices for the goods and services used to calculate the CPI are collected in 75 urban areas throughout the country and from about 23,000 retail and service establishments. Data on rents are collected from about 43,000 landlords or tenants. More information and details about the data provided can be found at http://www.bls.gov/cpi

  2. G

    Adjusted price index, monthly percentage change

    • open.canada.ca
    • www150.statcan.gc.ca
    csv, html, xml
    Updated Nov 8, 2023
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    Statistics Canada (2023). Adjusted price index, monthly percentage change [Dataset]. https://open.canada.ca/data/dataset/df557744-2cc8-4eda-bc19-a67b7e75e15f
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    xml, html, csvAvailable download formats
    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    1-month change in the Adjusted price index based on monthly adjusted consumer expenditure basket weights created by Statistics Canada, in partnership with the Bank of Canada. The Adjusted price index has been updated to incorporate the 2020 basket weights and is now based on a Similarity-linked Fisher price index formula. The expenditure data covers all goods and services in the Consumer Price Index.

  3. 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.

  4. T

    United States - Producer Price Index by Commodity: Processed Foods and...

    • tradingeconomics.com
    csv, excel, json, xml
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    TRADING ECONOMICS, United States - Producer Price Index by Commodity: Processed Foods and Feeds: Formula Feeds [Dataset]. https://tradingeconomics.com/united-states/producer-price-index-by-commodity-for-processed-foods-and-feeds-formula-feeds-index-1982-100-sa-fed-data.html
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    csv, json, excel, xmlAvailable 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 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Producer Price Index by Commodity: Processed Foods and Feeds: Formula Feeds was 260.89400 Index 1982=100 in February of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Commodity: Processed Foods and Feeds: Formula Feeds reached a record high of 304.54900 in September of 2022 and a record low of 83.30000 in March of 1975. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Commodity: Processed Foods and Feeds: Formula Feeds - last updated from the United States Federal Reserve on March of 2025.

  5. F

    Producer Price Index by Commodity: Processed Foods and Feeds: Formula Feeds

    • fred.stlouisfed.org
    json
    Updated Mar 13, 2025
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    (2025). Producer Price Index by Commodity: Processed Foods and Feeds: Formula Feeds [Dataset]. https://fred.stlouisfed.org/series/WPU0293
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    jsonAvailable download formats
    Dataset updated
    Mar 13, 2025
    License

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

    Description

    Graph and download economic data for Producer Price Index by Commodity: Processed Foods and Feeds: Formula Feeds (WPU0293) from Jan 1962 to Feb 2025 about processed, food, commodities, PPI, inflation, price index, indexes, price, and USA.

  6. c

    Index of row material prices, 1792 to 1998

    • datacatalogue.cessda.eu
    • search.gesis.org
    • +2more
    Updated Oct 18, 2024
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    Statistisches Reichsamt; Statistisches Bundesamt (2024). Index of row material prices, 1792 to 1998 [Dataset]. http://doi.org/10.4232/1.8301
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    Dataset updated
    Oct 18, 2024
    Authors
    Statistisches Reichsamt; Statistisches Bundesamt
    Time period covered
    1792 - 1998
    Area covered
    Germany
    Measurement technique
    Sources: Statistisches Reichsamt (Hrsg.), 1938: Statistisches Jahrbuch für das Deutsche Reich 1938, 57. Jg. Berlin: Paul Schmidt, S. 320.Länderrat des Amerikanischen Besatzungsgebiets (Hrsg.), 1949: Statistisches Handbuch von Deutschland 1928 - 1944. München: Franz Ehrenwirth, S. 459.Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung (Hrsg.), versch. Jg.: Jahresgutachten 1973/74, 1974/75, 1981/82, 1989/90. Stuttgart: Metzler-Poeschel.Statistisches Bundesamt Wiesbaden (Hrsg.), 1972: Bevölkerung und Wirtschaft 1872 – 1972. Stuttgart/Mainz: Kohlhammer, S. 247.Statistisches Bundesamt Wiesbaden (Hrsg.), versch. Jg. bis 1999: Statistisches Jahrbuch für die Bundesrepublik Deutschland, 1957 – 1998. Stuttgart/Mainz: Kohlhammer bzw. Stuttgart: Metzler-Poeschel.Statistisches Bundesamt Wiesbaden (Hrsg.), versch. Jg. 1974 bis 1999: Lange Reihen zur Wirtschaftsentwicklung, 1973 bis 1998. Stuttgart/Mainz: Kohlhammer bzw. Stuttgart: Metzler-Poeschel.Statistisches Bundesamt Wiesbaden (Hrsg.), 1961: Fachserie M, Preise Löhne Wirtschaftsrechnungen; Reihe 2, Preise und Preisindex ausgewählter Grundstoffe 1961. Stuttgart/Mainz: Kohlhammer.Statistisches Bundesamt Wiesbaden (Hrsg.), 1968: Fachserie M, Preise Löhne Wirtschaftsrechnungen; Reihe 2, Preise und Preisindex ausgewählter Grundstoffe 1967. Stuttgart/Mainz: Kohlhammer.Statistisches Bundesamt Wiesbaden (Hrsg.), 1986: Fachserie 17, Preise; Reihe 3, Index der Grundstoffpreise 1985. Stuttgart/Mainz: Kohlhammer, S. 66.Statistisches Bundesamt Wiesbaden (Hrsg.), 1990: Fachserie 17, Preise; Reihe 3, Index der Grundstoffpreise 1989. Stuttgart: Metzler-Poeschel, S. 66.Statistisches Bundesamt Wiesbaden (Hrsg.),1991: Fachserie 17, Preise; Reihe 3, Preisindex für den Wareneingang des Produzierenden Gewerbes 1990. Stuttgart: Metzler-Poeschel.Statistisches Bundesamt Wiesbaden (Hrsg.),1996: Fachserie 17, Preise; Reihe 3, Preisindex für den Wareneingang des Produzierenden Gewerbes 1996. Stuttgart: Metzler-Poeschel.Statistisches Bundesamt Wiesbaden (Hrsg.),1999: Fachserie 17, Preise; Reihe 3, Preisindex für den Wareneingang des Produzierenden Gewerbes 1998. Stuttgart: Metzler-Poeschel.
    Description

    The row material price-Index (till 1945: Indizes of commodity prices) is represented in this study in groups of goods.

    The computed price index of basic materials measures the development of the prices of materials and operating materials of domestic and foreign origin, which are bought and processed and/or used by the producing trade of the inland.

    The price rows are represented in the form of measured data on the basis of the pricelevel in the base year (= 100). The index is computed by using the Laspeyres-Formula.

    Topics

    Data-Tables in the Research- and Downloadsystem HISTAT (Historical Statistics):

    A. Overviews: German Reich and Federal Republic of Germany: - Overall index of the basic materials’ prices (1871-1998); - Indizes of row materials’ prices, 1913 = 100 (1792-1944).

    B. Former Federal Rebuplic of Germany (FRG): Index of row materials’ prices: - Overview (Expert Advisory Board): Index of row materials’ prices (1962-1989); - Overview (Federal Statistical Office): Index of row materials’ prices, 1980 = 100 (1938-1989); - Price index of the basic materials’ prices by groups of raw materials (1938-1968); - Index of the basic materials’ prices by product groups of agriculture and forestry, fishery and by categories of commodities of the industry (1962-1980); - Price Index of basic materials by categories of product groups of the foreign trade (1962-1980); - Price Index of basic materials according to the production-economical connection (1966-1989); - Index of basic materials by stage of processing (1966-1989); - Index of basic materials by the predominant intended purpose (1966-1989).

    C. Index for the incoming goods of the producing trade Index für den Wareneingang des Produzierenden Gewerbes (Base years: 1985, former FRG and 1991, Germany): - Overall incoming goods (1985-1998); - Price index of industry’s incoming goods by origin (1985-1998); - Price index of industry’s incoming goods by stage of processing (1985-1998); - Price index of industry’s incoming goods by the predominant intended purpose (1985-1998).

  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. C

    Chile CPI: Housing: Hardware: Calculator

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Chile CPI: Housing: Hardware: Calculator [Dataset]. https://www.ceicdata.com/en/chile/consumer-price-index-greater-santiago-dec1998100/cpi-housing-hardware-calculator
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jan 1, 2008 - Dec 1, 2008
    Area covered
    Chile
    Variables measured
    Consumer Prices
    Description

    Chile Consumer Price Index (CPI): Housing: Hardware: Calculator data was reported at 24,832.770 1998=100 in Dec 2008. This records an increase from the previous number of 24,608.830 1998=100 for Nov 2008. Chile Consumer Price Index (CPI): Housing: Hardware: Calculator data is updated monthly, averaging 24,642.810 1998=100 from Dec 1998 (Median) to Dec 2008, with 121 observations. The data reached an all-time high of 26,104.340 1998=100 in Mar 2003 and a record low of 23,585.500 1998=100 in Apr 2000. Chile Consumer Price Index (CPI): Housing: Hardware: Calculator data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Chile – Table CL.I014: Consumer Price Index: Greater Santiago: Dec1998=100.

  9. U

    United States PPI: Weights: PO: AF: Formula Feeds

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States PPI: Weights: PO: AF: Formula Feeds [Dataset]. https://www.ceicdata.com/en/united-states/producer-price-index-by-commodities-weights/ppi-weights-po-af-formula-feeds
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2013 - Dec 1, 2024
    Area covered
    United States
    Description

    United States PPI: Weights: PO: Formula Feeds data was reported at 0.413 % in 2024. This records a decrease from the previous number of 0.432 % for 2023. United States PPI: Weights: PO: Formula Feeds data is updated yearly, averaging 0.381 % from Dec 2007 (Median) to 2024, with 18 observations. The data reached an all-time high of 0.469 % in 2022 and a record low of 0.266 % in 2007. United States PPI: Weights: PO: Formula Feeds data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.I062: Producer Price Index: by Commodities: Weights.

  10. n

    Consumer Price Index (CPI)

    • db.nomics.world
    Updated Mar 25, 2025
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    DBnomics (2025). Consumer Price Index (CPI) [Dataset]. https://db.nomics.world/IMF/CPI
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    Dataset updated
    Mar 25, 2025
    Dataset provided by
    International Monetary Fund
    Authors
    DBnomics
    Description

    Consumer price indexes (CPIs) are index numbers that measure changes in the prices of goods and services purchased or otherwise acquired by households, which households use directly, or indirectly, to satisfy their own needs and wants. In practice, most CPIs are calculated as weighted averages of the percentage price changes for a specified set, or ‘‘basket’’, of consumer products, the weights reflecting their relative importance in household consumption in some period. CPIs are widely used to index pensions and social security benefits. CPIs are also used to index other payments, such as interest payments or rents, or the prices of bonds. CPIs are also commonly used as a proxy for the general rate of inflation, even though they measure only consumer inflation. They are used by some governments or central banks to set inflation targets for purposes of monetary policy. The price data collected for CPI purposes can also be used to compile other indices, such as the price indices used to deflate household consumption expenditures in national accounts, or the purchasing power parities used to compare real levels of consumption in different countries.

    In an effort to further coordinate and harmonize the collection of CPI data, the international organizations agreed that the International Monetary Fund (IMF) and the Organisation for Economic Cooperation and Development (OECD) would assume responsibility for the international collection and dissemination of national CPI data. Under this data collection initiative, countries are reporting the aggregate all items index; more detailed indexes and weights for 12 subgroups of consumption expenditure (according to the so-called COICOP-classification), and detailed metadata. These detailed data represent a valuable resource for data users throughout the world and this portal would not be possible without the ongoing cooperation of all reporting countries. In this effort, the OECD collects and validates the data for their member countries, including accession and key partner countries, whereas the IMF takes care of the collection of data for all other countries.

  11. International Comparison of the Formula Effect Between the CPI and RPI

    • data.europa.eu
    • cloud.csiss.gmu.edu
    html
    Updated Oct 11, 2021
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    Office for National Statistics (2021). International Comparison of the Formula Effect Between the CPI and RPI [Dataset]. https://data.europa.eu/data/datasets/international_comparison_of_the_formula_effect_between_the_cpi_and_rpi
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    htmlAvailable download formats
    Dataset updated
    Oct 11, 2021
    Dataset authored and provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence

    Description

    There are a number of differences between the Consumer Prices Index (CPI) and Retail Prices Index (RPI), including their coverage, population base, commodity measurement and methods of construction. Combined, these differences have meant that, for most of its history, the CPI has been lower than the RPI. One of the main reasons to this difference is the method of construction at the lowest level, where different formulae are used in the CPI and RPI to combine individual prices. This difference is usually referred to as the formula effect. This article will investigate similar formula effects present in the inflation measures of other countries, and where necessary will attempt to explain why the magnitude of the formula effect experienced by other countries differs from that of the UK.

    Source agency: Office for National Statistics

    Designation: National Statistics

    Language: English

    Alternative title: International Comparison

  12. Chile Consumer price index

    • knoema.com
    csv, json, sdmx, xls
    Updated Mar 2, 2025
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    Knoema (2025). Chile Consumer price index [Dataset]. https://knoema.com/atlas/Chile/topics/Economy/Inflation-and-Prices/Consumer-price-index
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    csv, sdmx, xls, jsonAvailable download formats
    Dataset updated
    Mar 2, 2025
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2012 - 2023
    Area covered
    Chile
    Variables measured
    Consumer price index (2010 = 100)
    Description

    Consumer price index of Chile surged by 7.58% from 158.6 index in 2022 to 170.7 index in 2023. Since the 1.79% upward trend in 2013, consumer price index soared by 57.49% in 2023. Consumer price index reflects changes in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.

  13. W

    Sudan Consumer price index

    • knoema.com
    csv, json, sdmx, xls
    Updated Mar 2, 2025
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    Knoema (2025). Sudan Consumer price index [Dataset]. https://knoema.com/atlas/Sudan/topics/Economy/Inflation-and-Prices/Consumer-price-index
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    csv, sdmx, xls, jsonAvailable download formats
    Dataset updated
    Mar 2, 2025
    Dataset authored and provided by
    Knoema
    Time period covered
    2011 - 2022
    Area covered
    Sudan
    Variables measured
    Consumer price index (2010 = 100)
    Description

    Consumer price index of Sudan shot up by 138.81% from 16,245.9 index in 2021 to 38,796.6 index in 2022. Since the 35.56% jump in 2012, consumer price index soared by 24,134.12% in 2022. Consumer price index reflects changes in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.

  14. d

    Year-wise State wise Consumer Price Index: General Index (Base Year=2012)

    • dataful.in
    Updated Mar 11, 2025
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    Dataful (Factly) (2025). Year-wise State wise Consumer Price Index: General Index (Base Year=2012) [Dataset]. https://dataful.in/datasets/682
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    application/x-parquet, xlsx, csvAvailable download formats
    Dataset updated
    Mar 11, 2025
    Dataset authored and provided by
    Dataful (Factly)
    License

    https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

    Area covered
    States of India
    Variables measured
    Weight, Unit
    Description

    Data in table tells us about the year-wise Consumer Price Index - General Index for all Indian states and UTs from 2015-2017. Data is available for rural, urban and combined number separately. The specific weightage of rural, urban and combined is also calculated as percentage of whole.

    Note: 1) Indices are based on CPI Base Year 2012=100 2) Index for the year 2017 is the average of Indices from January 2017 to September(Prov.) 2017. 3) Urban Indices of Arunachal Pradesh were not compiled.

  15. w

    Consumer Price Index - All Urban Consumers (Chained CPI)

    • data.wu.ac.at
    api, txt
    Updated Apr 11, 2018
    + more versions
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    Department of Labor (2018). Consumer Price Index - All Urban Consumers (Chained CPI) [Dataset]. https://data.wu.ac.at/schema/data_gov/NTVkZDJiNWYtNzNmYi00ZmIxLTg1Y2UtY2M2NmMxYzdlY2Jm
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    txt, apiAvailable download formats
    Dataset updated
    Apr 11, 2018
    Dataset provided by
    Department of Labor
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The Chained Consumer Price Index for All Urban Consumers, was introduced with the release of July data in August 2002. Designated the C-CPI-U, the index supplements the existing Consumer Price Indexes already produced by the BLS: the CPI for All Urban Consumers (CPI-U) and the CPI for Urban Wage Earners and Clerical Workers (CPI-W). The C-CPI-U employs a Tornqvist formula and utilizes expenditure data in adjacent time periods in order to reflect the effect of any substitution that consumers make across item categories in response to changes in relative prices. The new measure is designed to be a closer approximation to a "cost-of-living" index than the present measures. The use of expenditure data for both a base period and the current period in order to average price change across item categories distinguishes the C-CPI-U from the existing CPI measures, which use only a single expenditure base period to compute the price change over time.

  16. Introducing the new RPIJ measure of Consumer Price Inflation

    • data.wu.ac.at
    html
    Updated Apr 26, 2014
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    Office for National Statistics (2014). Introducing the new RPIJ measure of Consumer Price Inflation [Dataset]. https://data.wu.ac.at/schema/data_gov_uk/YmYyM2EzZTQtMWRmYS00NmM5LTkzZjYtNGE3ZDg0MTFmYzZi
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    htmlAvailable download formats
    Dataset updated
    Apr 26, 2014
    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

    This article describes the new RPIJ measure of Consumer Price Inflation. RPIJ is a Retail Prices Index (RPI) based measure that will use a geometric (Jevons) formula in place of one type of arithmetic formula (Carli). It is being launched in response to the National Statistician's conclusion that the RPI does not meet international standards due to the use of the Carli formula in its calculation. The accompanying Excel file includes a back series for RPIJ from 1997 to 2012.

    Source agency: Office for National Statistics

    Designation: National Statistics

    Language: English

    Alternative title: New RPIJ measure of Consumer Price Inflation

  17. U

    United States PCE: PI: Qtr: Less Formula Effect

    • ceicdata.com
    Updated Mar 15, 2009
    + more versions
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    CEICdata.com (2009). United States PCE: PI: Qtr: Less Formula Effect [Dataset]. https://www.ceicdata.com/en/united-states/nipa-2009-personal-consumption-expenditure-price-index-and-cpi-reconciliation-quarterly/pce-pi-qtr-less-formula-effect
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    Dataset updated
    Mar 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, 2010 - Mar 1, 2013
    Area covered
    United States
    Variables measured
    Gross Domestic Product
    Description

    United States PCE: PI: Qtr: Less Formula Effect data was reported at -0.050 Point in Mar 2013. This records an increase from the previous number of -0.160 Point for Dec 2012. United States PCE: PI: Qtr: Less Formula Effect data is updated quarterly, averaging -0.160 Point from Mar 2002 (Median) to Mar 2013, with 45 observations. The data reached an all-time high of 0.710 Point in Dec 2008 and a record low of -0.450 Point in Sep 2005. United States PCE: PI: Qtr: Less Formula Effect data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.A139: NIPA 2009: Personal Consumption Expenditure Price Index and CPI Reconciliation: Quarterly.

  18. Russian Federation Consumer price index

    • hi.knoema.com
    csv, json, sdmx, xls
    Updated Apr 2, 2023
    + more versions
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    Knoema (2023). Russian Federation Consumer price index [Dataset]. https://hi.knoema.com/atlas/Russian-Federation/topics/Economy/Inflation-and-Prices/Consumer-price-index?view=snowflake
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    sdmx, xls, json, csvAvailable download formats
    Dataset updated
    Apr 2, 2023
    Dataset authored and provided by
    Knoema
    Time period covered
    2010 - 2021
    Area covered
    Russia
    Variables measured
    Consumer price index (2010 = 100)
    Description

    199.4 (index) in 2021. Consumer price index reflects changes in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.

  19. U

    United States PCE: PI: Less Formula Effect: Tobacco

    • ceicdata.com
    Updated May 15, 2009
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    CEICdata.com (2009). United States PCE: PI: Less Formula Effect: Tobacco [Dataset]. https://www.ceicdata.com/en/united-states/nipa-2009-personal-consumption-expenditure-price-index-and-cpi-reconciliation-monthly/pce-pi-less-formula-effect-tobacco
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    Dataset updated
    May 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: Tobacco 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: Tobacco data is updated monthly, averaging 0.000 Point from Jan 2002 (Median) to May 2013, with 137 observations. The data reached an all-time high of 0.000 Point in May 2013 and a record low of -0.010 Point in Apr 2009. United States PCE: PI: Less Formula Effect: Tobacco data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.A138: NIPA 2009: Personal Consumption Expenditure Price Index and CPI Reconciliation: Monthly.

  20. Housing Price Index Weights

    • data.europa.eu
    csv, json
    Updated Feb 1, 2025
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    Valstybės duomenų agentūra (2025). Housing Price Index Weights [Dataset]. http://data.europa.eu/88u/dataset/https-data-gov-lt-datasets-2521-
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    json, csvAvailable download formats
    Dataset updated
    Feb 1, 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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Bureau of Labor Statistics (2022). Consumer Price Index (CPI) [Dataset]. https://catalog.data.gov/dataset/consumer-price-index-cpi-ee18b
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Consumer Price Index (CPI)

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Dataset updated
May 16, 2022
Dataset provided by
Bureau of Labor Statisticshttp://www.bls.gov/
Description

The Consumer Price Index (CPI) is a measure of the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services. Indexes are available for the U.S. and various geographic areas. Average price data for select utility, automotive fuel, and food items are also available. Prices for the goods and services used to calculate the CPI are collected in 75 urban areas throughout the country and from about 23,000 retail and service establishments. Data on rents are collected from about 43,000 landlords or tenants. More information and details about the data provided can be found at http://www.bls.gov/cpi

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