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

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

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

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

Graph and download economic data for Inflation, consumer prices for the United States (FPCPITOTLZGUSA) from 1960 to 2024 about consumer, CPI, inflation, price index, indexes, price, and USA.

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.

Inflation rates experienced by different groups of consumers within a country vary. This is because the prices of goods and services and the expenditure patterns of consumers differ. The published inflation rate is used for important decisions regarding the preservation of consumer purchasing power. These include the adjustment of social grants and minimum wages by government and the benchmarking of returns by investors when making investment decisions. It is thus vital that inflation is measured accurately to ensure the purchasing power of consumers is preserved. Current measures of inflation published by Stats SA are applicable to typical consumers and are not relevant to each individual. This resource supplements a study that seeks to provide a publicly available model that can be used by consumers to calculate their personal rate of inflation.

This table provides information on price developments in the construction industry. Data were calculated by Statistic Netherlands (CBS) and are based on building permits with a value of 50 thousand euros or more issued by municipal authorities, and the reported construction costs as stated in the permits. On the basis of these building permits and the construction time, construction output is calculated by means of average waiting times prior to the start of the construction activities. Price indices listed in the table are used to eliminate the effect of price changes on the construction output. Therefore, the price index can be used to as a deflator to calculate volume developments in the building sector. Price indices are calculated for two sections (Construction of new buildings and Other buildings) and three sectors (dwellings, buildings for the private sector and buildings for the (semi-)public or non-commercial sector). Data available from: 1st quarter 2015 Status of the figures: Price index figures up to and including the 1st quarter 4and the annual figure 2023 are final. Changes since 30 April 2025: The figures of the 1st quarter 2025 have been added to the table. Due to a method improvement the indices for the subseries New dwellings in the period 2019 quarter 3 and the subseries Existing buildings private sector in the period 2021 quarter 3 have been corrected by 0.1 index point. The improvement relates to the underlying price indices used to eliminate the effect of price changes on the construction output. When will new figures become available? Provisional figures for the 2nd quarter of 2025 will be released in July 2025.

Construction Output Price Indices (OPIs) from January 2014 to June 2025, UK. Summary

Graph and download economic data for Producer Price Index by Commodity: All Commodities (PPIACO) from Jan 1913 to Aug 2025 about commodities, PPI, inflation, price index, indexes, price, and USA.

This table includes figures on the price developments of a package of goods and services purchased by consumers in the Netherlands. The figures are consistent with European directives also known as the harmonised consumer price index (HICP). In all member states of the European Union (EU), these indices are compiled in a similar manner to facilitate comparison between the various EU countries.

This table also contains the HICP at constant taxes: this price index excludes the effect of changes in the rates of product-related taxes (e.g. VAT and excise duty on alcohol and tobacco).

The table also includes the month-on-month and year-on-year changes of the HICP. The year-on-year change of total consumer expenditure is known as inflation. The figures are shown for 327 product groups in 2025. Furthermore, 34 combinations of product groups (special aggregates) are displayed. The weighting coefficient shows how much consumers in the Netherlands spend on each product group in relation to their total expenditure. The total weighting is 100,000.

HICP figures are published every month. In addition, an annual figure is published at the end of the year. The HICP of a calendar year is calculated as the average of the indices of the twelve months of that year.

Data available from: January 1996.

Status of the figures: Figures of the flash estimate are published at the end of a reporting month, or shortly thereafter. At the flash estimate, figures are made available for the all items category and for a selection of special aggregates. These figures are calculated on the basis of still incomplete source data. The results of the flash estimate are characterized as provisional.

In most cases, the figures are final in the second publication of the same reporting month. Differences between the provisional and final indices are caused by source material that has become available after the flash estimate. The results of the HICP are only marked as provisional in the second publication if it is already known at the time of publication that data are still incomplete, a revision is expected in a later month, or in special circumstances such as the corona crisis. In that case, the figures become final one month later.

Changes compared with previous version: Data on the most recent period have been added and/or adjustments have been implemented.

Changes as of 13 February 2025: Starting in the reporting month of January 2025, price changes will be published for expenditure categories 053290 Other small electric household appliances and 103000 Post-secondary non-tertiary education. The base period for this new index series is December 2024. This means that the index level of 100 is the price level measured in December 2024.

Changes as of 8 February 2024: Starting in the reporting month of January 2024, a price change will be published for expenditure category 063000 Hospital Services. The base period for this new index series is December 2023. This means that the index level of 100 is the price level measured in December 2023. Previously, between 2000 and 2009, an index was published for the same expenditure category. The base year for that index series was 2005=100. It was discontinued after December 2009. The current series starts again from 100 in December 2023.

When will new figures be published? The figures of the flash estimate are published on the last working day of the month to which the figures relate, or shortly thereafter.

Final figures will usually be published between the first and second Thursday of the month following on the reporting month.

All CPI and HICP publications are announced on the publication calendar.

This data is a portion of a larger dataset, composed by over 120 million data points, collected by Starsift LLC for the Grocerybear Project (www.grocerybear.com) every day between January 2017 and May 2018 for over 50,000 unique items in about 750 commercial categories for eleven US cities: Boise, Honolulu, Houston, Las Vegas, Los Angeles, Orlando, Phoenix, Portland, San Francisco, Seattle, and Washington DC. This dataset is composed by 5 csv files, one for each CPI-U Entry Level Item disclosed: Apples, Bread, Butter, Cigarettes, and Coffee. Each file presents the following columns: Year, Month, Product name, Product code, City, Store Chain, Average price in the month. Store chains have been anonymized. This project also includes an R file to calculate sub-national consumer price indexes using the Time-interaction-Region Product Dummy (TiRPD) model.

Price index of consumer goods and services is calculated on the basis of the results of: - surveys on prices of consumer goods and services on the retail market, - surveys on household budgets, providing data on average expenditures on consumer goods and services; these data are then used for compilation of a weight system. Calculating price index of consumer goods and services is done on the basis of the Classification of Individual Consumption by Purpose (COICOP) adapted for the use of Harmonized Indices of Consumer Prices (HICP). The price index of a representative in the region included in the price survey results from relating its average monthly price to an average annual price from the previous yea The all-Polish price index of a representative included in the survey is calculated as geometric mean of price indices from all regions. Calculating price indices of groups of consumer goods and services at the lowest level of weight system aggregation is done on the basis of price indices of the representatives included in price survey in a given group by using geometric mean. They are then used by applying weight system to calculate indices of higher level of aggregation up to the price index of total consumer goods and services. price index is calculated in line with the Laspeyress’s formula by applying weights from the year preceding the reference year.

Price index of consumer goods and services is calculated on the basis of the results of: - surveys on prices of consumer goods and services on the retail market, - surveys on household budgets, providing data on average expenditures on consumer goods and services; these data are then used for compilation of a weight system. Calculating price index of consumer goods and services is done on the basis of the Classification of Individual Consumption by Purpose (COICOP) adapted for the use of Harmonized Indices of Consumer Prices (HICP). The price index of a representative in the region included in the price survey results from relating its average monthly price to an average annual price from the previous yea The all-Polish price index of a representative included in the survey is calculated as geometric mean of price indices from all regions. Calculating price indices of groups of consumer goods and services at the lowest level of weight system aggregation is done on the basis of price indices of the representatives included in price survey in a given group by using geometric mean. They are then used by applying weight system to calculate indices of higher level of aggregation up to the price index of total consumer goods and services. price index is calculated in line with the Laspeyress’s formula by applying weights from the year preceding the reference year.

This table contains the annual rates of change of the CPI from the moment they were first published. The annual rate of change reflects changes in prices of consumer goods and services in a certain month compared with the same month in the previous year; it is the year on-year change of the consumer price index.

This table also contains the derived series for the annual rate of change. This is based on the normal series but without the effect of changes in the rates of product-related taxes (for instance VAT and excise duty on alcohol and tobacco) and subsidies. The derived series answers the question: how would prices have changed if the tax rates remained the same?

CPI figures are published every month. In addition, an annual figure is published at the end of the year. The CPI of a calendar year is calculated as the average of the indices of the twelve months of that year.

Data available from: January 1963

Status of the figures: When first published, the figures are provisional. Their status becomes final simultaneously with the second publication about the same month. Differences between the provisional and final figures are caused by source material that has become available after the provisional publication.

Changes compared with previous version: Data on the most recent period have been added and/or adjustments have been implemented.

When will new figures be published? New figures will usually be published between the first and second Thursday of the month following on the reporting month. The figures of the previous reporting month then become final.

All CPI publications are announced on the publication calendar.

PCE Price Index Annual Change in the United States remained unchanged at 2.60 percent in July. This dataset includes a chart with historical data for the United States PCE Price Index Annual Change.

This table shows the consumer price index for all households (CPI), split up into an index for frequent "out-of-pocket" purchases (FROOPP) and less frequent or "non-out-of-pocket" purchased items (non-FROOPP). Frequent purchased items are purchases that are typically done at least monthly. Out-of-pocket purchases are those that are considered to be typically paid for by the consumer directly and actively. This table also includes the monthly and yearly price developments.

The FROOPP and non-FROOPP are special extracts of the CPI. The corresponding CPI weights and prices are used to calculate both indices. The segmentation used is derived from the FROOPP-classification of Eurostat.

Data available from: January 2006 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 as of 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.

When will new figures be published? Not applicable.

Inflation Rate In the Euro Area remained unchanged at 2 percent in August. This dataset provides the latest reported value for - Euro Area Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This table shows the price-indices, the quarterly and the yearly price changes of services that companies provided. There is a breakdown by type of services according to the Coordinated European goods and services classification (CPA). The prices of services are observed in the sectors for which the supply of the service is the main activity.

Included in the producer price indices are: Section I, transport, storage and communication services; Section K, real estate, renting and business services

Not included in producer price indices are: Section G, wholesale and retail trade, repair of motor vehicles and motorcycles; Section H, hotels and restaurants; Section J, financial services.

The index reference year of all producer price indices is 2006. The year average, the quarterly and the yearly changes are calculated with unrounded figures.

Data available form: 2002 4th quarter Frequency: quarterly

Status of the figures: the figures for the most recent period are final.

When will new figures be published: This table is put a stop on 30-6-2012 and continued as the table Price indices services; index 2010 = 100'.

Changes in comparison with last versions From the third quarter of 2010 onwards, a new method is used to calculate Total renting services of automobiles, which falls under the aggregated Renting services of machinery and equipment without operator and of personal and household goods. This method corresponds to the current calculation method of the services price index.

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