100+ datasets found
  1. Consumer Price Index (CPI)

    • datasets.ai
    • s.cnmilf.com
    • +1more
    0, 21
    Updated Sep 11, 2024
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    U.S. Department of Labor Bureau of Labor Statistics (2024). Consumer Price Index (CPI) [Dataset]. https://datasets.ai/datasets/consumer-price-index-cpi-ee18b
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    0, 21Available download formats
    Dataset updated
    Sep 11, 2024
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Authors
    U.S. Department of Labor Bureau of Labor Statistics
    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. U.S. consumer Price Index of all urban consumers 1992-2024

    • statista.com
    • tokrwards.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.

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

    • tokrwards.com
    • statista.com
    Updated Oct 1, 2024
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    Abigail Tierney (2024). U.S. projected Consumer Price Index 2010-2029 [Dataset]. https://tokrwards.com/?_=%2Ftopics%2F774%2Finflation%2F%23D%2FIbH0PhabzN99vNwgDeng71Gw4euCn%2B
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    Dataset updated
    Oct 1, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Abigail Tierney
    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. Research series Consumer price index electricity and gas

    • cbs.nl
    xlsx
    Updated Jun 30, 2023
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    Centraal Bureau voor de Statistiek (2023). Research series Consumer price index electricity and gas [Dataset]. https://www.cbs.nl/en-gb/custom/2023/26/research-series-consumer-price-index-electricity-and-gas
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jun 30, 2023
    Dataset provided by
    Statistics Netherlands
    Authors
    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

    Area covered
    The Netherlands
    Description

    The tables presented in this file are a supplement to the article “CBS switches to new method for calculating energy prices in the CPI”, published on 30 June 2023. The article presents the results of the research carried out by Statistics Netherlands (CBS) in order to develop new energy prices for the Consumer price index (CPI).

  5. Consumer Price Data and Measures Explained

    • clevelandfed.org
    csv
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    Federal Reserve Bank of Cleveland, Consumer Price Data and Measures Explained [Dataset]. https://www.clevelandfed.org/center-for-inflation-research/consumer-price-data
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    csvAvailable download formats
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    Description

    Learn the differences between the consumer price index (CPI) and the personal consumption expenditures (PCE) price index. Find out what measures are used to gauge underlying inflation, or the long-term trend in prices, such as median and trimmed-mean inflation rates and core inflation.

  6. n

    Consumer Price Index (CPI)

    • db.nomics.world
    Updated Aug 30, 2025
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    DBnomics (2025). Consumer Price Index (CPI) [Dataset]. https://db.nomics.world/IMF/CPI
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    Dataset updated
    Aug 30, 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.

  7. Consumer Price Index 2024 - West Bank and Gaza

    • pcbs.gov.ps
    Updated Feb 19, 2025
    + more versions
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    Palestinian Central Bureau of Statistics (2025). Consumer Price Index 2024 - West Bank and Gaza [Dataset]. https://www.pcbs.gov.ps/PCBS-Metadata-en-v5.2/index.php/catalog/732
    Explore at:
    Dataset updated
    Feb 19, 2025
    Dataset authored and provided by
    Palestinian Central Bureau of Statisticshttp://pcbs.gov.ps/
    Time period covered
    2024
    Area covered
    Palestine, West Bank
    Description

    Abstract

    The Consumer price surveys primarily provide the following: Data on CPI in Palestine covering the West Bank, Gaza Strip and Jerusalem J1 for major and sub groups of expenditure. Statistics needed for decision-makers, planners and those who are interested in the national economy. Contribution to the preparation of quarterly and annual national accounts data.

    Consumer Prices and indices are used for a wide range of purposes, the most important of which are as follows: Adjustment of wages, government subsidies and social security benefits to compensate in part or in full for the changes in living costs. To provide an index to measure the price inflation of the entire household sector, which is used to eliminate the inflation impact of the components of the final consumption expenditure of households in national accounts and to dispose of the impact of price changes from income and national groups. Price index numbers are widely used to measure inflation rates and economic recession. Price indices are used by the public as a guide for the family with regard to its budget and its constituent items. Price indices are used to monitor changes in the prices of the goods traded in the market and the consequent position of price trends, market conditions and living costs. However, the price index does not reflect other factors affecting the cost of living, e.g. the quality and quantity of purchased goods. Therefore, it is only one of many indicators used to assess living costs. It is used as a direct method to identify the purchasing power of money, where the purchasing power of money is inversely proportional to the price index.

    Geographic coverage

    Palestine West Bank Gaza Strip Jerusalem

    Analysis unit

    The target population for the CPI survey is the shops and retail markets such as grocery stores, supermarkets, clothing shops, restaurants, public service institutions, private schools and doctors.

    Universe

    The target population for the CPI survey is the shops and retail markets such as grocery stores, supermarkets, clothing shops, restaurants, public service institutions, private schools and doctors.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    A non-probability purposive sample of sources from which the prices of different goods and services are collected was updated based on the establishment census 2017, in a manner that achieves full coverage of all goods and services that fall within the Palestinian consumer system. These sources were selected based on the availability of the goods within them. It is worth mentioning that the sample of sources was selected from the main cities inside Palestine: Jenin, Tulkarm, Nablus, Qalqiliya, Ramallah, Al-Bireh, Jericho, Jerusalem, Bethlehem, Hebron, Gaza, Jabalia, Dier Al-Balah, Nusseirat, Khan Yunis and Rafah. The selection of these sources was considered to be representative of the variation that can occur in the prices collected from the various sources. The number of goods and services included in the CPI is approximately 730 commodities, whose prices were collected from 3,200 sources. (COICOP) classification is used for consumer data as recommended by the United Nations System of National Accounts (SNA-2008).

    Sampling deviation

    Not apply

    Mode of data collection

    Computer Assisted Personal Interview [capi]

    Research instrument

    A tablet-supported electronic form was designed for price surveys to be used by the field teams in collecting data from different governorates, with the exception of Jerusalem J1. The electronic form is supported with GIS, and GPS mapping technique that allow the field workers to locate the outlets exactly on the map and the administrative staff to manage the field remotely. The electronic questionnaire is divided into a number of screens, namely: First screen: shows the metadata for the data source, governorate name, governorate code, source code, source name, full source address, and phone number. Second screen: shows the source interview result, which is either completed, temporarily paused or permanently closed. It also shows the change activity as incomplete or rejected with the explanation for the reason of rejection. Third screen: shows the item code, item name, item unit, item price, product availability, and reason for unavailability. Fourth screen: checks the price data of the related source and verifies their validity through the auditing rules, which was designed specifically for the price programs. Fifth screen: saves and sends data through (VPN-Connection) and (WI-FI technology).

    In case of the Jerusalem J1 Governorate, a paper form has been designed to collect the price data so that the form in the top part contains the metadata of the data source and in the lower section contains the price data for the source collected. After that, the data are entered into the price program database.

    Cleaning operations

    The price survey forms were already encoded by the project management depending on the specific international statistical classification of each survey. After the researcher collected the price data and sent them electronically, the data was reviewed and audited by the project management. Achievement reports were reviewed on a daily and weekly basis. Also, the detailed price reports at data source levels were checked and reviewed on a daily basis by the project management. If there were any notes, the researcher was consulted in order to verify the data and call the owner in order to correct or confirm the information.

    At the end of the data collection process in all governorates, the data will be edited using the following process: Logical revision of prices by comparing the prices of goods and services with others from different sources and other governorates. Whenever a mistake is detected, it should be returned to the field for correction. Mathematical revision of the average prices for items in governorates and the general average in all governorates. Field revision of prices through selecting a sample of the prices collected from the items.

    Response rate

    Not apply

    Sampling error estimates

    The findings of the survey may be affected by sampling errors due to the use of samples in conducting the survey rather than total enumeration of the units of the target population, which increases the chances of variances between the actual values we expect to obtain from the data if we had conducted the survey using total enumeration. The computation of differences between the most important key goods showed that the variation of these goods differs due to the specialty of each survey. The variance of the key goods in the computed and disseminated CPI survey that was carried out on the Palestine level was for reasons related to sample design and variance calculation of different indicators since there was a difficulty in the dissemination of results by governorates due to lack of weights. Non-sampling errors are probable at all stages of data collection or data entry. Non-sampling errors include: Non-response errors: the selected sources demonstrated a significant cooperation with interviewers; so, there wasn't any case of non-response reported during 2019. Response errors (respondent), interviewing errors (interviewer), and data entry errors: to avoid these types of errors and reduce their effect to a minimum, project managers adopted a number of procedures, including the following: More than one visit was made to every source to explain the objectives of the survey and emphasize the confidentiality of the data. The visits to data sources contributed to empowering relations, cooperation, and the verification of data accuracy. Interviewer errors: a number of procedures were taken to ensure data accuracy throughout the process of field data compilation: Interviewers were selected based on educational qualification, competence, and assessment. Interviewers were trained theoretically and practically on the questionnaire. Meetings were held to remind interviewers of instructions. In addition, explanatory notes were supplied with the surveys. A number of procedures were taken to verify data quality and consistency and ensure data accuracy for the data collected by a questioner throughout processing and data entry (knowing that data collected through paper questionnaires did not exceed 5%): Data entry staff was selected from among specialists in computer programming and were fully trained on the entry programs. Data verification was carried out for 10% of the entered questionnaires to ensure that data entry staff had entered data correctly and in accordance with the provisions of the questionnaire. The result of the verification was consistent with the original data to a degree of 100%. The files of the entered data were received, examined, and reviewed by project managers before findings were extracted. Project managers carried out many checks on data logic and coherence, such as comparing the data of the current month with that of the previous month, and comparing the data of sources and between governorates. Data collected by tablet devices were checked for consistency and accuracy by applying rules at item level to be checked.

    Data appraisal

    Other technical procedures to improve data quality: Seasonal adjustment processes and estimations of non-available items' prices: Under each category, a number of common items are used in Palestine to calculate the price levels and to represent the commodity within the commodity group. Of course, it is

  8. T

    CONSUMER PRICE INDEX CPI by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 26, 2017
    + more versions
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    TRADING ECONOMICS (2017). CONSUMER PRICE INDEX CPI by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/consumer-price-index-cpi
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    May 26, 2017
    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
    2025
    Area covered
    World
    Description

    This dataset provides values for CONSUMER PRICE INDEX CPI reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  9. Consumer Price Index 2023 - West Bank and Gaza

    • pcbs.gov.ps
    Updated Mar 10, 2024
    + more versions
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    Palestinian Central Bureau of Statistics (2024). Consumer Price Index 2023 - West Bank and Gaza [Dataset]. https://www.pcbs.gov.ps/PCBS-Metadata-en-v5.2/index.php/catalog/729
    Explore at:
    Dataset updated
    Mar 10, 2024
    Dataset authored and provided by
    Palestinian Central Bureau of Statisticshttp://pcbs.gov.ps/
    Time period covered
    2023
    Area covered
    Palestine, West Bank
    Description

    Abstract

    The Consumer price surveys primarily provide the following: Data on CPI in Palestine covering the West Bank, Gaza Strip and Jerusalem J1 for major and sub groups of expenditure. Statistics needed for decision-makers, planners and those who are interested in the national economy. Contribution to the preparation of quarterly and annual national accounts data.

    Consumer Prices and indices are used for a wide range of purposes, the most important of which are as follows: Adjustment of wages, government subsidies and social security benefits to compensate in part or in full for the changes in living costs. To provide an index to measure the price inflation of the entire household sector, which is used to eliminate the inflation impact of the components of the final consumption expenditure of households in national accounts and to dispose of the impact of price changes from income and national groups. Price index numbers are widely used to measure inflation rates and economic recession. Price indices are used by the public as a guide for the family with regard to its budget and its constituent items. Price indices are used to monitor changes in the prices of the goods traded in the market and the consequent position of price trends, market conditions and living costs. However, the price index does not reflect other factors affecting the cost of living, e.g. the quality and quantity of purchased goods. Therefore, it is only one of many indicators used to assess living costs. It is used as a direct method to identify the purchasing power of money, where the purchasing power of money is inversely proportional to the price index.

    Geographic coverage

    Palestine West Bank Gaza Strip Jerusalem

    Analysis unit

    The target population for the CPI survey is the shops and retail markets such as grocery stores, supermarkets, clothing shops, restaurants, public service institutions, private schools and doctors.

    Universe

    The target population for the CPI survey is the shops and retail markets such as grocery stores, supermarkets, clothing shops, restaurants, public service institutions, private schools and doctors.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    A non-probability purposive sample of sources from which the prices of different goods and services are collected was updated based on the establishment census 2017, in a manner that achieves full coverage of all goods and services that fall within the Palestinian consumer system. These sources were selected based on the availability of the goods within them. It is worth mentioning that the sample of sources was selected from the main cities inside Palestine: Jenin, Tulkarm, Nablus, Qalqiliya, Ramallah, Al-Bireh, Jericho, Jerusalem, Bethlehem, Hebron, Gaza, Jabalia, Dier Al-Balah, Nusseirat, Khan Yunis and Rafah. The selection of these sources was considered to be representative of the variation that can occur in the prices collected from the various sources. The number of goods and services included in the CPI is approximately 730 commodities, whose prices were collected from 3,200 sources. (COICOP) classification is used for consumer data as recommended by the United Nations System of National Accounts (SNA-2008).

    Sampling deviation

    Not apply

    Mode of data collection

    Computer Assisted Personal Interview [capi]

    Research instrument

    A tablet-supported electronic form was designed for price surveys to be used by the field teams in collecting data from different governorates, with the exception of Jerusalem J1. The electronic form is supported with GIS, and GPS mapping technique that allow the field workers to locate the outlets exactly on the map and the administrative staff to manage the field remotely. The electronic questionnaire is divided into a number of screens, namely: First screen: shows the metadata for the data source, governorate name, governorate code, source code, source name, full source address, and phone number. Second screen: shows the source interview result, which is either completed, temporarily paused or permanently closed. It also shows the change activity as incomplete or rejected with the explanation for the reason of rejection. Third screen: shows the item code, item name, item unit, item price, product availability, and reason for unavailability. Fourth screen: checks the price data of the related source and verifies their validity through the auditing rules, which was designed specifically for the price programs. Fifth screen: saves and sends data through (VPN-Connection) and (WI-FI technology).

    In case of the Jerusalem J1 Governorate, a paper form has been designed to collect the price data so that the form in the top part contains the metadata of the data source and in the lower section contains the price data for the source collected. After that, the data are entered into the price program database.

    Cleaning operations

    The price survey forms were already encoded by the project management depending on the specific international statistical classification of each survey. After the researcher collected the price data and sent them electronically, the data was reviewed and audited by the project management. Achievement reports were reviewed on a daily and weekly basis. Also, the detailed price reports at data source levels were checked and reviewed on a daily basis by the project management. If there were any notes, the researcher was consulted in order to verify the data and call the owner in order to correct or confirm the information.

    At the end of the data collection process in all governorates, the data will be edited using the following process: Logical revision of prices by comparing the prices of goods and services with others from different sources and other governorates. Whenever a mistake is detected, it should be returned to the field for correction. Mathematical revision of the average prices for items in governorates and the general average in all governorates. Field revision of prices through selecting a sample of the prices collected from the items.

    Response rate

    Not apply

    Sampling error estimates

    The findings of the survey may be affected by sampling errors due to the use of samples in conducting the survey rather than total enumeration of the units of the target population, which increases the chances of variances between the actual values we expect to obtain from the data if we had conducted the survey using total enumeration. The computation of differences between the most important key goods showed that the variation of these goods differs due to the specialty of each survey. The variance of the key goods in the computed and disseminated CPI survey that was carried out on the Palestine level was for reasons related to sample design and variance calculation of different indicators since there was a difficulty in the dissemination of results by governorates due to lack of weights. Non-sampling errors are probable at all stages of data collection or data entry. Non-sampling errors include: Non-response errors: the selected sources demonstrated a significant cooperation with interviewers; so, there wasn't any case of non-response reported during 2019. Response errors (respondent), interviewing errors (interviewer), and data entry errors: to avoid these types of errors and reduce their effect to a minimum, project managers adopted a number of procedures, including the following: More than one visit was made to every source to explain the objectives of the survey and emphasize the confidentiality of the data. The visits to data sources contributed to empowering relations, cooperation, and the verification of data accuracy. Interviewer errors: a number of procedures were taken to ensure data accuracy throughout the process of field data compilation: Interviewers were selected based on educational qualification, competence, and assessment. Interviewers were trained theoretically and practically on the questionnaire. Meetings were held to remind interviewers of instructions. In addition, explanatory notes were supplied with the surveys. A number of procedures were taken to verify data quality and consistency and ensure data accuracy for the data collected by a questioner throughout processing and data entry (knowing that data collected through paper questionnaires did not exceed 5%): Data entry staff was selected from among specialists in computer programming and were fully trained on the entry programs. Data verification was carried out for 10% of the entered questionnaires to ensure that data entry staff had entered data correctly and in accordance with the provisions of the questionnaire. The result of the verification was consistent with the original data to a degree of 100%. The files of the entered data were received, examined, and reviewed by project managers before findings were extracted. Project managers carried out many checks on data logic and coherence, such as comparing the data of the current month with that of the previous month, and comparing the data of sources and between governorates. Data collected by tablet devices were checked for consistency and accuracy by applying rules at item level to be checked.

    Data appraisal

    Other technical procedures to improve data quality: Seasonal adjustment processes and estimations of non-available items' prices: Under each category, a number of common items are used in Palestine to calculate the price levels and to represent the commodity within the commodity group. Of course, it is

  10. F

    Chained Consumer Price Index for All Urban Consumers: All Items in U.S. City...

    • fred.stlouisfed.org
    json
    Updated Sep 11, 2025
    + more versions
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    (2025). Chained Consumer Price Index for All Urban Consumers: All Items in U.S. City Average [Dataset]. https://fred.stlouisfed.org/series/SUUR0000SA0
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 11, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Chained Consumer Price Index for All Urban Consumers: All Items in U.S. City Average (SUUR0000SA0) from Dec 1999 to Aug 2025 about chained, all items, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

  11. k

    Consumer Price Index By Commodities

    • datasource.kapsarc.org
    • data.kapsarc.org
    Updated May 27, 2025
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    (2025). Consumer Price Index By Commodities [Dataset]. https://datasource.kapsarc.org/explore/dataset/consumer-price-index0/
    Explore at:
    Dataset updated
    May 27, 2025
    Description

    Explore the Consumer Price Index dataset for Kuwait, covering categories such as HOUSING SERVICES, CLOTHING, RESTAURANT, HOTELS, TOBACCO, and more on a quarterly and monthly basis. Find valuable insights on cost of living, commodities, and price trends.

    HOUSEING SERVICES, CLOTHING and FOOTWEAR, RESTAURANT and HOTELS, TOBACCO and NARCOTICS, Quarterly, COMMUNICATION, FURNISHING EQUIPMENT HOUSEHOLD MAINTENANCE, Number, ALL ITEMS CONSUMPTION PRICE INDEX, SERVICES and MISCELLANEOUS GOODS, EDUCATION, % Monthly Change, Monthly, Annually, RECREATION andCULTURE, % Annual Change, TOTAL INDEX LESS FOOD, FOOD and BEVERAGES, % Quarterly Change, TOTAL INDEX LESS HOUSEING SERVICES, HEALTH, TRANSPORT, CPI, Cost of living, Commodities, Food, TOBACCO, Price

    KuwaitFollow data.kapsarc.org for timely data to advance energy economics research..All Copyright Reserved © 2013 Kuwait Central Statistical Bureau.

  12. S

    Sweden Consumer Price Index: Shadow

    • ceicdata.com
    Updated May 25, 2018
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    CEICdata.com (2018). Sweden Consumer Price Index: Shadow [Dataset]. https://www.ceicdata.com/en/sweden/consumer-price-index-fixed-and-shadow-1980100
    Explore at:
    Dataset updated
    May 25, 2018
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    Sweden
    Variables measured
    Consumer Prices
    Description

    Consumer Price Index: Shadow data was reported at 416.200 1980=100 in Mar 2025. This records a decrease from the previous number of 419.080 1980=100 for Feb 2025. Consumer Price Index: Shadow data is updated monthly, averaging 273.640 1980=100 from Jan 1980 (Median) to Mar 2025, with 543 observations. The data reached an all-time high of 419.080 1980=100 in Feb 2025 and a record low of 95.300 1980=100 in Jan 1980. Consumer Price Index: Shadow data remains active status in CEIC and is reported by Statistics Sweden. The data is categorized under Global Database’s Sweden – Table SE.I005: Consumer Price Index: Fixed and Shadow: 1980=100. Shadow Index is being used to calculate CPI. The shadow index numbers are adjusted to take into account certain inadequacies in the basic data on prices or in the methods used for calculating fixed index numbers. [COVID-19-IMPACT]

  13. Median Consumer Price Index

    • clevelandfed.org
    Updated Nov 25, 2019
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    Federal Reserve Bank of Cleveland (2019). Median Consumer Price Index [Dataset]. https://www.clevelandfed.org/indicators-and-data/median-cpi
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    Dataset updated
    Nov 25, 2019
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    License

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

    Description

    Median Consumer Price Index is a part of the Median CPI indicator of the Federal Reserve Bank of Cleveland.

  14. Consumer price inflation tables

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Sep 17, 2025
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    Office for National Statistics (2025). Consumer price inflation tables [Dataset]. https://www.ons.gov.uk/economy/inflationandpriceindices/datasets/consumerpriceinflation
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    xlsxAvailable download formats
    Dataset updated
    Sep 17, 2025
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

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

    Description

    Measures of monthly UK inflation data including CPIH, CPI and RPI. These tables complement the consumer price inflation time series dataset.

  15. Consumer Price Index by geography, all-items, monthly, percentage change,...

    • www150.statcan.gc.ca
    Updated Sep 16, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Consumer Price Index by geography, all-items, monthly, percentage change, not seasonally adjusted, Canada, provinces, Whitehorse, Yellowknife and Iqaluit [Dataset]. http://doi.org/10.25318/1810000401-eng
    Explore at:
    Dataset updated
    Sep 16, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Monthly indexes and percentage changes for all components and special aggregates of the Consumer Price Index (CPI), not seasonally adjusted, for Canada, provinces, Whitehorse, Yellowknife and Iqaluit. Data are presented for the corresponding month of the previous year, the previous month and the current month. The base year for the index is 2002=100.

  16. F

    Median Consumer Price Index

    • fred.stlouisfed.org
    json
    Updated Sep 11, 2025
    + more versions
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    (2025). Median Consumer Price Index [Dataset]. https://fred.stlouisfed.org/series/MEDCPIM158SFRBCLE
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 11, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for Median Consumer Price Index (MEDCPIM158SFRBCLE) from Jan 1983 to Aug 2025 about median, CPI, rate, price index, indexes, price, and USA.

  17. T

    Israel Consumer Price Index (CPI)

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Israel Consumer Price Index (CPI) [Dataset]. https://tradingeconomics.com/israel/consumer-price-index-cpi
    Explore at:
    excel, json, xml, csvAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Sep 30, 1951 - Aug 31, 2025
    Area covered
    Israel
    Description

    Consumer Price Index CPI in Israel increased to 104.20 points in August from 103.50 points in July of 2025. This dataset provides the latest reported value for - Israel Consumer Price Index (CPI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  18. T

    India Consumer Price Index (CPI)

    • tradingeconomics.com
    • es.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 15, 2018
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    TRADING ECONOMICS (2018). India Consumer Price Index (CPI) [Dataset]. https://tradingeconomics.com/india/consumer-price-index-cpi
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    May 15, 2018
    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, 2011 - Aug 31, 2025
    Area covered
    India
    Description

    Consumer Price Index CPI in India increased to 197 points in August from 196.10 points in July of 2025. This dataset provides - India Consumer Price Index (CPI) - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  19. y

    US Consumer Price Index: Eggs

    • ycharts.com
    html
    Updated Sep 11, 2025
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    Bureau of Labor Statistics (2025). US Consumer Price Index: Eggs [Dataset]. https://ycharts.com/indicators/us_consumer_price_index_eggs
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Sep 11, 2025
    Dataset provided by
    YCharts
    Authors
    Bureau of Labor Statistics
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Jan 31, 1947 - Aug 31, 2025
    Area covered
    United States
    Variables measured
    US Consumer Price Index: Eggs
    Description

    View monthly updates and historical trends for US Consumer Price Index: Eggs. from United States. Source: Bureau of Labor Statistics. Track economic data …

  20. Annual consumer price index (CPI) in Spain 2004-2024

    • statista.com
    • tokrwards.com
    Updated Jun 2, 2025
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    Statista (2025). Annual consumer price index (CPI) in Spain 2004-2024 [Dataset]. https://www.statista.com/statistics/469732/annual-consumer-price-index-cpi-in-spain/
    Explore at:
    Dataset updated
    Jun 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Spain
    Description

    The average CPI in Spain was on an upward trend during the period of time under consideration and stood at *** in 2021, the base year to calculate the CPI, three index points above the average of the previous year. Spain's inflation rates in the consumer price index has also been analyzed by month-on-month change.

Share
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TwitterTwitter
Email
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U.S. Department of Labor Bureau of Labor Statistics (2024). Consumer Price Index (CPI) [Dataset]. https://datasets.ai/datasets/consumer-price-index-cpi-ee18b
Organization logo

Consumer Price Index (CPI)

Explore at:
0, 21Available download formats
Dataset updated
Sep 11, 2024
Dataset provided by
Bureau of Labor Statisticshttp://www.bls.gov/
Authors
U.S. Department of Labor Bureau of Labor Statistics
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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