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This dataset provides comprehensive historical consumer price index (CPI) data for more than 60 countries, spanning monthly and annual time series. The CPI measures the overall change in the prices of goods and services purchased by households, making it a key macroeconomic indicator for assessing inflation and purchasing power over time. The dataset includes long series that extend back to the mid-19th century for some countries, with an average length of over 60 years for monthly series. The data is widely used as a deflator for other economic series, such as real effective exchange rates and real residential property prices.
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The Consumer Price Index (CPI) measures the monthly change in prices paid by consumers.
The CPI is one of the most popular measures of inflation and deflation. The CPI report uses a different survey methodology, price samples, and index weights.
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This dataset include 4 type of data of the CPI:
1. Middle level classification index
(2022_Japan_CPI_middleLevelClassificationIndex.csv)
Composite index excluding imputed rent
(2022_Japan_CPI_compositeIndexExcludingImputedRent.csv)
Price index by item
(2022_Japan_CPI_priceIndexByItems.csv)
Goods and service classification index
(2022_Japan_CPI_GoodsAndServiceClassificationIndex.csv)
Base year is 2020.
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The Consumer price index (CPI) all households, calculated by Statistics Netherlands, measures the average price changes of goods and services purchased by households. The index is an important criterion for inflation, frequently used by trade and industry, employers' organisations, trade unions and government. The index is for instance, used to make adjustments to wages, tax tablesand index-linked rent increases, annuities, etc.
Data available from: January 1996 till December 2015
Status of the figures: The figures in this table are final.
Changes as of 18 May 2016: None, this table is stopped.
Changes from 7 January 2016: New figures added.
Changes from 10 December 2015: On 1 October 2015, the points system for the pricing of rental homes was adjusted by the Dutch national government. As a direct consequence, rental prices of a limited number of dwellings were reduced, which had a downward effect on the average rental price. The effect of this decrease on the rental price indices and imputed rent value could not be determined in time because housing associations announced the impact of rent adjustments only in November. For this reason, the figures of the groups 04100 ‘Actual rentals for housing’ and 04200 ‘Imputed rent value’ over October 2015 have now been adjusted.
The figures of the groups 061100 ‘Pharmaceutical products’, 061200 ‘Other medical products, equipment’, 072200 ‘Fuels and lubricants’ and 083000 ‘Telephone and internet services’ over the months June through September 2015 have been corrected. This has no impact on the headline indices.
The derived CPI decreased by 0.01 index point over August 2015.
When will new figures be published? Not applicable. This table is succeeded by Consumer prices; price index 2015=100. See paragraph 3.
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TwitterThis dataset gives information on the Consumer Price Index (CPI) for food is a component of the all-items CPI. The CPI measures the average change over time in the prices paid by urban consumers for a representative market basket of consumer goods and services. While the all-items CPI measures the price changes for all consumer goods and services, including food, the CPI for food measures the changes in the retail prices of food items only.
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This table contains 13 series, with data from 1949 (not all combinations necessarily have data for all years). Data are presented for the current month and previous four months. Users can select other time periods that are of interest to them.
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The Consumer Price Index measures changes in the cost of selected food items over time like:
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TwitterThe Consumer Price Index (CPI) measures the change in the price of goods and services from the perspective of the consumer. It is a key way to measure changes in purchasing trends and inflation.
A higher than expected reading should be taken as positive/bullish for the USD, while a lower than expected reading should be taken as negative/bearish for the USD. https://www.investing.com/economic-calendar/cpi-69
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Comprehensive database of time series covering measures of inflation data for the UK including CPIH, CPI and RPI.
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The Consumer Price Index (CPI) for food is a component of the all-items CPI. The CPI measures the average change over time in the prices paid by urban consumers for a representative market basket of consumer goods and services. While the all-items CPI measures the price changes for all consumer goods and services, including food, the CPI for food measures the changes in the retail prices of food items only.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Web page with links to Excel files For complete information, please visit https://data.gov.
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Time series data for the statistic Consumer Price Index, All items and country United States. Indicator Definition:Consumer Price Index, All itemsThe indicator "Consumer Price Index, All items" stands at 148.58 as of 8/31/2025, the highest value at least since 2/28/1990, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 2.92 percent compared to the value the year prior.The 1 year change in percent is 2.92.The 3 year change in percent is 9.39.The 5 year change in percent is 24.65.The 10 year change in percent is 35.94.The Serie's long term average value is 95.94. It's latest available value, on 8/31/2025, is 54.87 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 1/31/1990, to it's latest available value, on 8/31/2025, is +154.30%.The Serie's change in percent from it's maximum value, on 8/31/2025, to it's latest available value, on 8/31/2025, is 0.0%.
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TwitterThe Consumer Price Index (CPI) measures over time the prices of goods and services in major expenditure categories typically purchased by urban consumers. The expenditure categories include food, housing, apparel, transportation, and medical care. Essentially, the Index measures consumer purchasing power by comparing the cost of a fixed set of goods and services (called a market basket) in a specific month relative to the cost of the same market basket in an earlier reference period, designated as the base period. The CPI is calculated for two population groups: urban wage earners and clerical workers (CPI-W) and all urban consumers (CPI-U). The CPI-W population includes those urban families with clerical workers, sales workers, craft workers, operatives, service workers, or laborers in the family unit and is representative of the prices paid by about 40 percent of the United States population. The CPI-U population consists of all urban households (including professional and salaried workers, part-time workers, the self-employed, the unemployed, and retired persons) and is representative of the prices paid by about 80 percent of the United States population. Both populations specifically exclude persons in the military, in institutions, and all persons living outside of urban areas (such as farm families). National indexes for both populations are available for about 350 consumer items and groups of items. In addition, over 100 of the indexes have been adjusted for seasonality. The indexes are monthly with some beginning in 1913. Area indexes are available for 27 urban places. For each area, indexes are presented for about 65 items and groups. The area indexes are produced monthly for 5 areas, bimonthly for 10 areas, and semiannually for 12 urban areas. Regional indexes are available for four regions with about 95 items and groups per region. Beginning with January 1987, regional indexes are monthly, with some beginning as early as 1966. City-size indexes are available for four size classes with about 95 items and groups per class. Beginning with January 1987, these indexes are monthly and most begin in 1977. Regional and city-size indexes are available cross-classified by region and city-size class. For each of the 13 cross-classifications, about 60 items and groups are available. Beginning with January 1987, these indexes are monthly and most begin in 1977. Each index record includes a series identification code that specifies the sample (either all urban consumers or urban wage earners and clerical workers), seasonality (either seasonally adjusted or unadjusted), periodicity (either semiannual or regular), geographic area, index base period, and item number of the index. (Source: downloaded from ICPSR 7/13/10)
Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR08166.v3. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future and includes additional years of data.
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Measures of monthly UK inflation data including CPIH, CPI and RPI. These tables complement the consumer price inflation time series dataset.
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This table contains 18 series, with data starting from 1979 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...) Alternative measures (18 items: Consumer Price Index (CPI) excluding food; energy and the effect of indirect taxes; seasonally adjusted; Consumer Price Index (CPI) excluding the effect of indirect taxes; seasonally adjusted; Consumer Price Index (CPI) excluding the effect of indirect taxes; Consumer Price Index (CPI) excluding food; energy and the effect of indirect taxes ...).
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Consumer Price Index CPI in Kenya increased to 146.84 points in October from 146.56 points in September of 2025. This dataset provides the latest reported value for - Kenya Consumer Price Index (CPI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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Expressed in end of the period, not annual average data. A consumer price index (CPI) measures changes in the prices of goods and services that households consume. Such changes affect the real purchasing power of consumers' incomes and their welfare. As the prices of different goods and services do not all change at the same rate, a price index can only reflect their average movement. A price index is typically assigned a value of unity, or 100, in some reference period and the values of the index for other periods of time are intended to indicate the average proportionate, or percentage, change in prices from this price reference period. Price indices can also be used to measure differences in price levels between different cities, regions or countries at the same point in time. [CPI Manual 2004, Introduction] For euro countries, consumer prices are calculated based on harmonized prices.
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TwitterIn 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.
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Time series data for the statistic Consumer Price Index, All items and country Trinidad and Tobago. Indicator Definition:Consumer Price Index, All itemsThe indicator "Consumer Price Index, All items" stands at 125.70 as of 7/31/2025, the highest value at least since 2/29/2000, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 1.45 percent compared to the value the year prior.The 1 year change in percent is 1.45.The 3 year change in percent is 6.53.The 5 year change in percent is 15.32.The 10 year change in percent is 23.57.The Serie's long term average value is 82.93. It's latest available value, on 7/31/2025, is 51.57 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 3/31/2000, to it's latest available value, on 7/31/2025, is +231.26%.The Serie's change in percent from it's maximum value, on 7/31/2025, to it's latest available value, on 7/31/2025, is 0.0%.
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TwitterCPI measures changes in the price level of a weighted average market basket of consumer goods and services purchased by households. Difference in CPI over time can be used as a measure of inflation. CPI can therefore be used to adjust real values to account for the effect of inflation.
USACPIALLMINMEI.csv - time series represnting CPI sampled monthly spanning from January 1960 to November 2019.
Data was downloaded from Federal Reserve Economic Data (FRED) website.
Useful dataset for analyzing economic data.
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Israel IL: Consumer Price Index (CPI): Local Source Base Year: Recreation and Culture data was reported at 107.900 2020=100 in Dec 2022. This records a decrease from the previous number of 109.933 2020=100 for Sep 2022. Israel IL: Consumer Price Index (CPI): Local Source Base Year: Recreation and Culture data is updated quarterly, averaging 104.367 2020=100 from Mar 1985 (Median) to Dec 2022, with 152 observations. The data reached an all-time high of 114.900 2020=100 in Sep 1999 and a record low of 10.633 2020=100 in Mar 1985. Israel IL: Consumer Price Index (CPI): Local Source Base Year: Recreation and Culture 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 Israel – Table IL.OECD.MEI: Consumer Price Index: COICOP 1999: OECD Member: Quarterly. The CPI measures the change in prices which consumer pay for fixed market basket of consumption goods and services. Price coverage: Prices include applicable taxes (VAT) and fees on the products at the time of sale. Cash payments are the basis for the price survey. Monthly installment payment and credit card interest are excluded. Price collection procedure: The data collection methods are adapted according to the specific characteristics of the CPI classes. The main price surveys are: Computer Assisted Telephone Interviews (CATI), conducted by the CBS staff at the central office; Computer Assisted Personal Interviews (CAPI) by field collectors with handheld personal computers (HPC) and Direct Data Entry (DDE) into the database. Also for some special items Internet is used either in parallel with CAPI or as a part of DDE collection. The CPI includes a measure of rented housing Owner Occupied Housing (OOH) is included in the CPI and is calculated using rental equivalent method. The method for imputation of OOH is based on stratified average prices of contracts that are subject to renewal. In order to reduce variance in the monthly series, two month moving averages are compared each month. However, the method for OOH still leaves room for quality differences to play role in month-to-month average price changes. The method relies on successful stratification of apartments to groups whose relative price changes are as similar as possible. While the stratification is based on apartment location and number of rooms, some quality characteristics may experience month-to-month variation. Treatment of own account production is not included Goods and services sold illegally, second hand goods, goods and services partially or totally subsidized by the government and financial transactions are not included. Insurance: Insurance of personal transport and Health insurance (private and provided by the Government) are included. Treatment of missing items: Price changes for missing observations are imputed based on the price movements of other observations of the same item. Selection of replacement items: Products that become permantely unavailable are replaced in the sample and enumerators select a replacement possessing as many of the same quality characteristics as possible. Prices from previous period are sought for the replacement item for linking purpose. Treatment of quality change: There are two types of replacement approach: comparable and non-comparable. If a new product possesses the previously defined important characteristics of the old product, the new product is defined as comparable and a minor quality change is regarded as price change. Otherwise, if a significant quality change is introduced, the new product is defined as not comparable. The breakage in price series is treated by the linking method. Explicit quality adjustments are usually not performed. Hedonic methods are being considered but not yet implemented. In some cases, where the product cycle is short and new versions with improved quality characteristics are frequently introduced, the overlap method may give biased estimates. Introduction of new products: New items are introduced when the market basket is updated. New products are introduced into the sample as they gain significant market share. Business and professional periodicles are closely followed to gain information on new products that are gaining consumer demand. Seasonal items: Missing prices for seasonal products are imputed. Certain procedures are in place to avoid too early reintroduction of seasonal products back to the index. For price changes a bridge method is used when the items are reintroduced to the collection. Index series are also calculated and released in seasonally adjusted form.; Index series starts in November 1985
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Time series data for the statistic Consumer Price Index, All items and country Poland. Indicator Definition:Consumer Price Index, All itemsThe indicator "Consumer Price Index, All items" stands at 194.10 as of 7/31/2025, the highest value at least since 2/28/1990, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 3.19 percent compared to the value the year prior.The 1 year change in percent is 3.19.The 3 year change in percent is 19.37.The 5 year change in percent is 44.74.The 10 year change in percent is 57.42.The Serie's long term average value is 99.84. It's latest available value, on 7/31/2025, is 94.41 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 1/31/1990, to it's latest available value, on 7/31/2025, is +3,582.72%.The Serie's change in percent from it's maximum value, on 7/31/2025, to it's latest available value, on 7/31/2025, is 0.0%.
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This dataset provides comprehensive historical consumer price index (CPI) data for more than 60 countries, spanning monthly and annual time series. The CPI measures the overall change in the prices of goods and services purchased by households, making it a key macroeconomic indicator for assessing inflation and purchasing power over time. The dataset includes long series that extend back to the mid-19th century for some countries, with an average length of over 60 years for monthly series. The data is widely used as a deflator for other economic series, such as real effective exchange rates and real residential property prices.