100+ datasets found
  1. d

    Year-wise Cost Inflation Index

    • dataful.in
    Updated Jul 11, 2025
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    Dataful (Factly) (2025). Year-wise Cost Inflation Index [Dataset]. https://dataful.in/datasets/1319
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    application/x-parquet, xlsx, csvAvailable download formats
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Dataful (Factly)
    License

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

    Area covered
    India
    Variables measured
    Cost Inflation Index
    Description

    This dataset contains year-wise data of Cost Inflation Index (CII). The CII number is used to arrive at the inflation-adjusted cost price of assets transferred for computing long-term capital gains.

  2. Consumer Price Index (CPI)

    • catalog.data.gov
    • cloud.csiss.gmu.edu
    • +1more
    Updated May 16, 2022
    + more versions
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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

  3. F

    Consumer Price Index for All Urban Consumers: Professional Services in U.S....

    • fred.stlouisfed.org
    json
    Updated Jul 15, 2025
    + more versions
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    (2025). Consumer Price Index for All Urban Consumers: Professional Services in U.S. City Average [Dataset]. https://fred.stlouisfed.org/series/CUSR0000SEMC
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    jsonAvailable download formats
    Dataset updated
    Jul 15, 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 Consumer Price Index for All Urban Consumers: Professional Services in U.S. City Average (CUSR0000SEMC) from Jan 1980 to Jun 2025 about professional, urban, consumer, services, CPI, inflation, price index, indexes, price, and USA.

  4. Weekly price inflation index of home care products in the U.S. 2023

    • statista.com
    Updated Jun 24, 2024
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    Statista (2024). Weekly price inflation index of home care products in the U.S. 2023 [Dataset]. https://www.statista.com/statistics/1374190/home-care-products-price-inflation-in-the-us/
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    Dataset updated
    Jun 24, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2023 - Mar 19, 2023
    Area covered
    United States
    Description

    Between January 1, 2023, and March 19, 2023, prices of products in the home care category, such as laundry, air fresheners, and household cleaning items in the United States saw changes but remained inflationary where the base was 100. As of March 19, 2023, the price inflation of such products had an index value of 113. A level above 100 was considered to be inflationary, whereas a level below 100 denoted deflation.

  5. F

    Consumer Price Index for All Urban Consumers: Services Less Energy Services...

    • fred.stlouisfed.org
    json
    Updated Jul 15, 2025
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    (2025). Consumer Price Index for All Urban Consumers: Services Less Energy Services in U.S. City Average [Dataset]. https://fred.stlouisfed.org/series/CUSR0000SASLE
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    jsonAvailable download formats
    Dataset updated
    Jul 15, 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 Consumer Price Index for All Urban Consumers: Services Less Energy Services in U.S. City Average (CUSR0000SASLE) from Jan 1967 to Jun 2025 about energy, urban, consumer, services, CPI, inflation, price index, indexes, price, and USA.

  6. e

    Consumer price index

    • data.europa.eu
    excel xls, excel xlsx +1
    Updated Feb 9, 2018
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    North Gate II & III - INS (STATBEL - Statistics Belgium) (2018). Consumer price index [Dataset]. https://data.europa.eu/data/datasets/78b06e72e3614d1019d54adf9ff84d7f4b23c35f?locale=en
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    excel xlsx, excel xls, pdfAvailable download formats
    Dataset updated
    Feb 9, 2018
    Dataset authored and provided by
    North Gate II & III - INS (STATBEL - Statistics Belgium)
    Description

    Purpose and brief description The consumer price index is an economic indicator whose main task is to objectively reflect the price evolution over time for a basket of goods and services purchased by households and considered representative of their consumer habits. The index does not necessarily measure the price level of this basket for a specific period of time, but rather the fluctuation between two periods, the first one acting as basis for comparison. Moreover, this difference in the price level is not measured in absolute, but in relative terms. The consumer price index can be determined as a hundred times the ratio between the observed prices of a range of goods and services at a given time and the prices of the same goods and services, observed under the same circumstances during the reference period, chosen as basis for comparison. Price observations always take place in the same regions. Since 2014, the consumer price index has been a chain index in which the weighting reference period is regularly shifted and prices and quantities are no longer compared between the current period and a fixed reference period, but the current period is compared with an intermediate period. By multiplying these short-term indices, and so creating a chain, we get a long-term series with a fixed reference period. Population Belgian private households Data collection method and possible sampling Survey technique applied using a computer, based on the use of electronic questionnaires and laptops. Frequency Monthly. Timing of publication The results are available on the penultimate working day of the reference period. Definitions Weight (CPI): The weight represents the importance of the goods and services included in the CPI in the total expenditure patterns of the households. Weights are determined based on the household budget survey. Consumer price index (CPI): The consumer price index is an economic indicator whose main task is to objectively reflect the price evolution over time for a basket of goods and services purchased by households and considered representative of their consumer habits. Health index: The health index is derived from the consumer price index and has been published since January 1994. The current value of this index is determined by removing a number of products from the consumer price index product basket, in particular alcoholic beverages (bought in a shop or consumed in a bar), tobacco products and motor fuels except for LPG. Inflation: Inflation is defined as the ratio between the value of the consumer price index of a given month and the index of the same month the year before. Therefore, inflation measures the rhythm of the evolution of the overall price level. Consumer price index without petroleum products: This index is calculated by removing the following products from the consumer price index: butane, propane, liquid fuels and motor fuels. Consumer price index without energy products: This index is calculated by removing the following products from the consumer price index: electricity, natural gas, butane, propane, liquid fuels, solid fuels and motor fuels. Smoothed index: The smoothed health index, also called smoothed index (the average value of the health indexes of the last 4 months) is used as a basis for the indexation of retirement pensions, social security benefits and some salaries and wages. Public wages and social benefits are indexed as soon as the smoothed index reaches a given value, called the central index. The smoothed index is also called moving average. In order to perform a 2% index jump (laid down in the Law of 23 April 2015 on employment promotion), the smoothed health index has been temporarily blocked at its value of March 2015 (100.66). The smoothed health index was then reduced by 2% from April 2015. When the reduced smoothed health index (also called the reference index) had increased again by 2% or in other words when it had exceeded the value of 100.66, the index was no longer blocked. It occurred in April 2016. Since April 2016 the smoothed health index is calculated in the same manner as the reference index and therefore corresponds to the arithmetical mean of the health indexes of the last 4 months multiplied by a factor of 0.98. The central index is a predetermined threshold value against which the smoothed health index is compared. If the central index is reached or exceeded, there is an indexation of the wages and salaries or benefits. This indexation is proportional to the percentage between the old and the new central index. For the public sector and social benefits, the difference between the central indices always amounts to 2 %. Therefore, a 2 % indexation is applied every time the central index is reached. There are also collective labour agreements according to which the difference between the central indices amounts to 1 % or 1.5 %. The reaching of a central index then leads to an indexation of 1 % or 1,5 %. See also: https://bosa.belgium.

  7. United States Inflation Rate: 12 Months Expectation: Average

    • ceicdata.com
    Updated Dec 19, 2020
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    CEICdata.com (2020). United States Inflation Rate: 12 Months Expectation: Average [Dataset]. https://www.ceicdata.com/en/united-states/consumer-confidence-index-inflation-rate-expectation
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    Dataset updated
    Dec 19, 2020
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    United States
    Variables measured
    Consumer Survey
    Description

    Inflation Rate: 12 Months Expectation: Average data was reported at 7.000 % in Apr 2025. This records an increase from the previous number of 6.000 % for Mar 2025. Inflation Rate: 12 Months Expectation: Average data is updated monthly, averaging 4.800 % from Aug 1987 (Median) to Apr 2025, with 453 observations. The data reached an all-time high of 7.900 % in Jun 2022 and a record low of 3.600 % in Oct 1995. Inflation Rate: 12 Months Expectation: Average data remains active status in CEIC and is reported by The Conference Board. The data is categorized under Global Database’s United States – Table US.H050: Consumer Confidence Index: Inflation Rate Expectation. [COVID-19-IMPACT]

  8. Monthly headline consumer price index 2019-2024, by region

    • statista.com
    • ai-chatbox.pro
    Updated Jul 4, 2025
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    Statista (2025). Monthly headline consumer price index 2019-2024, by region [Dataset]. https://www.statista.com/statistics/1032274/headline-consumer-price-index-inflation-worldwide/
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    Dataset updated
    Jul 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2020 - May 2024
    Area covered
    Worldwide
    Description

    In August 2024, the global consumer price index, excluding the United States, stood at *****, compared to ***** for the U.S. The data for the world and emerging economies are distorted by hyperinflation in Venezuela and may not accurately reflect the inflation rate of other countries. However, Russia's war in Ukraine caused a surge in prices globally through 2022 and 2023. The headline consumer price index tracks the changes in the price level of a basket of goods and services purchased by households. Economic challenges in Argentina While CPI increases have been significant globally, certain economies have experienced more dramatic increases than others. Argentina is a notable case of these increases, as the CPI has increased more than *** percent between 2020 and 2023. Currently, most of the Argentinian public considers inflation and low wages to be the biggest challenges facing the country. Consumer responses to price increases Globally, consumers are coping with price increases in many ways. In a May 2023 survey, ** percent respondents from over 14 countries indicated they were more conscious about prices than previously. In another survey from earlier that year, over ** percent of respondents indicated they were most concerned about inflation and had changed their consumption habits as a result.

  9. T

    Palestine Consumer Price Index Cpi

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated Mar 7, 2024
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    TRADING ECONOMICS (2024). Palestine Consumer Price Index Cpi [Dataset]. https://tradingeconomics.com/palestine/consumer-price-index-cpi
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    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Mar 7, 2024
    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, 2007 - Jun 30, 2025
    Area covered
    Palestine
    Description

    Consumer Price Index CPI in Palestine increased to 255.86 points in June from 247.32 points in May of 2025. This dataset provides - Palestine Consumer Price Index Cpi- actual values, historical data, forecast, chart, statistics, economic calendar and news.

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

    • www150.statcan.gc.ca
    Updated Jul 15, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Consumer Price Index by product group, monthly, percentage change, not seasonally adjusted, Canada, provinces, Whitehorse, Yellowknife and Iqaluit [Dataset]. http://doi.org/10.25318/1810000401-eng
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    Dataset updated
    Jul 15, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

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

  11. F

    Consumer Price Index for All Urban Consumers: Other Food at Home in U.S....

    • fred.stlouisfed.org
    json
    Updated Jul 15, 2025
    + more versions
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    (2025). Consumer Price Index for All Urban Consumers: Other Food at Home in U.S. City Average [Dataset]. https://fred.stlouisfed.org/series/CUSR0000SAF115
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    jsonAvailable download formats
    Dataset updated
    Jul 15, 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 Consumer Price Index for All Urban Consumers: Other Food at Home in U.S. City Average (CUSR0000SAF115) from Jan 1967 to Jun 2025 about urban, food, consumer, CPI, housing, inflation, price index, indexes, price, and USA.

  12. T

    Germany Consumer Price Index (CPI)

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Mar 12, 2024
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    TRADING ECONOMICS (2024). Germany Consumer Price Index (CPI) [Dataset]. https://tradingeconomics.com/germany/consumer-price-index-cpi
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    xml, excel, json, csvAvailable download formats
    Dataset updated
    Mar 12, 2024
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 1950 - May 31, 2025
    Area covered
    Germany
    Description

    Consumer Price Index CPI in Germany increased to 121.80 points in May from 121.70 points in April of 2025. This dataset provides the latest reported value for - Germany Consumer Price Index (CPI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  13. Consumer Price Index 2019 - West Bank and Gaza

    • pcbs.gov.ps
    Updated Dec 26, 2021
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    Palestinian Central Bureau of Statistics (2021). Consumer Price Index 2019 - West Bank and Gaza [Dataset]. https://www.pcbs.gov.ps/PCBS-Metadata-en-v5.2/index.php/catalog/704
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    Dataset updated
    Dec 26, 2021
    Dataset authored and provided by
    Palestinian Central Bureau of Statisticshttp://pcbs.gov.ps/
    Time period covered
    2019
    Area covered
    West Bank, Palestine
    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. For example, for the CPI, the variation between its goods was very low, except in some cases such as banana, tomato, and cucumber goods that had a high coefficient of variation during 2019 due to the high oscillation in their prices. 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

  14. T

    Italy - Consumer Price Index (2010 = 100)

    • tradingeconomics.com
    csv, excel, json, xml
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    TRADING ECONOMICS, Italy - Consumer Price Index (2010 = 100) [Dataset]. https://tradingeconomics.com/italy/consumer-price-index-2005--100-wb-data.html
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    xml, excel, csv, 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
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Italy
    Description

    Consumer price index (2010 = 100) in Italy was reported at 130 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Italy - Consumer price index (2010 = 100) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  15. T

    Israel - Consumer Price Index (2010 = 100)

    • tradingeconomics.com
    csv, excel, json, xml
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    TRADING ECONOMICS, Israel - Consumer Price Index (2010 = 100) [Dataset]. https://tradingeconomics.com/israel/consumer-price-index-2005--100-wb-data.html
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    csv, excel, json, 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
    Israel
    Description

    Consumer price index (2010 = 100) in Israel was reported at 122 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Israel - Consumer price index (2010 = 100) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

  16. United States Core Inflation Index

    • ceicdata.com
    Updated Dec 31, 2023
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    CEICdata.com (2023). United States Core Inflation Index [Dataset]. https://www.ceicdata.com/en/united-states/consumer-and-wholesale-price-index-forecast-oecd-member-quarterly
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    Dataset updated
    Dec 31, 2023
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2024 - Dec 1, 2026
    Area covered
    United States
    Variables measured
    Price
    Description

    Core Inflation Index data was reported at 1.290 Index, 2017 in Dec 2026. This records an increase from the previous number of 1.284 Index, 2017 for Sep 2026. Core Inflation Index data is updated quarterly, averaging 0.662 Index, 2017 from Mar 1960 (Median) to Dec 2026, with 268 observations. The data reached an all-time high of 1.290 Index, 2017 in Dec 2026 and a record low of 0.158 Index, 2017 in Mar 1960. Core Inflation Index data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.EO: Consumer and Wholesale Price Index: Forecast: OECD Member: Quarterly. PCORE - Core inflation indexOECD group, all items non-food non-energy. See exceptions at the country serie metadataIndex, national reference year; Price index for Personal consumption expenditure less food less energy

  17. Inflation Nowcasting

    • clevelandfed.org
    json
    Updated Mar 10, 2017
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    Federal Reserve Bank of Cleveland (2017). Inflation Nowcasting [Dataset]. https://www.clevelandfed.org/indicators-and-data/inflation-nowcasting
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    jsonAvailable download formats
    Dataset updated
    Mar 10, 2017
    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

    The Federal Reserve Bank of Cleveland provides daily “nowcasts” of inflation for two popular price indexes, the price index for personal consumption expenditures (PCE) and the Consumer Price Index (CPI). These nowcasts give a sense of where inflation is today. Released each business day.

  18. Producer Price Index/Wholesale Price Index Inflation worldwide 2019-2024

    • statista.com
    • ai-chatbox.pro
    Updated Jul 4, 2025
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    Statista (2025). Producer Price Index/Wholesale Price Index Inflation worldwide 2019-2024 [Dataset]. https://www.statista.com/statistics/1032297/ppi-wpi-index-inflation-worldwide/
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    Dataset updated
    Jul 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2019 - Aug 2024
    Area covered
    Worldwide
    Description

    In August 2024, the global producer price index (PPI)/ wholesale price index inflation (WPI), excluding the U.S., stood at ******. In the United States, the index value amounted to *****. The PPI/WPI inflation tracks changes in the level of prices received by domestic producers for their goods and services. Consumer habits and price increases As of August 2024, consumers considered rising prices and inflation to be their biggest worry. Consumers are expressing this worry in numerous ways. Globally, over ** percent of consumers have said they would shop less and seek cheaper options in response to price increases. Moreover, nearly ** percent of surveyed consumers globally reduced their gift giving to extended family and friends during the holiday season in 2023 to stretch their budgets further. Impact of inflation on emerging economies Notably, emerging economies have a higher WPI value than advanced economies. Between 2021 and 2022, the average inflation rate in developing and emerging economies increased from *** percent to *** percent, before falling slightly to **** percent in 2023. The countries with the highest inflation rates in 2023 include many developing and emerging economies, such as Zimbabwe, Argentina, Turkey, and Suriname.

  19. w

    Monthly food price inflation estimates by country - Afghanistan, Armenia,...

    • microdata.worldbank.org
    Updated Jul 9, 2025
    + more versions
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    Bo Pieter Johannes Andrée (2025). Monthly food price inflation estimates by country - Afghanistan, Armenia, Bangladesh...and 33 more [Dataset]. https://microdata.worldbank.org/index.php/catalog/4509
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Bo Pieter Johannes Andrée
    Time period covered
    2008 - 2025
    Area covered
    Bangladesh
    Description

    Abstract

    Food price inflation is an important metric to inform economic policy but traditional sources of consumer prices are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual price trends in rural or poverty-stricken areas, where large populations reside in fragile situations. This data set includes food price estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.

    Geographic coverage notes

    The data cover the following areas: Afghanistan, Armenia, Bangladesh, Burkina Faso, Burundi, Cameroon, Central African Republic, Chad, Congo, Dem. Rep., Congo, Rep., Gambia, The, Guinea, Guinea-Bissau, Haiti, Indonesia, Iraq, Kenya, Lao PDR, Lebanon, Liberia, Libya, Malawi, Mali, Mauritania, Mozambique, Myanmar, Niger, Nigeria, Philippines, Senegal, Somalia, South Sudan, Sri Lanka, Sudan, Syrian Arab Republic, Yemen, Rep.

  20. 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
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    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 - Jun 30, 2025
    Area covered
    India
    Description

    Consumer Price Index CPI in India increased to 194.20 points in June from 193 points in May of 2025. This dataset provides - India Consumer Price Index (CPI) - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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Dataful (Factly) (2025). Year-wise Cost Inflation Index [Dataset]. https://dataful.in/datasets/1319

Year-wise Cost Inflation Index

Explore at:
application/x-parquet, xlsx, csvAvailable download formats
Dataset updated
Jul 11, 2025
Dataset authored and provided by
Dataful (Factly)
License

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

Area covered
India
Variables measured
Cost Inflation Index
Description

This dataset contains year-wise data of Cost Inflation Index (CII). The CII number is used to arrive at the inflation-adjusted cost price of assets transferred for computing long-term capital gains.

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