Consumer Price Index CPI in the United States increased to 322.56 points in June from 321.46 points in May of 2025. This dataset provides the latest reported value for - United States Consumer Price Index (CPI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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.

Russia Consumer Price Index (CPI): Weekly Estimate: Prev Week=100: Millet data was reported at 101.000 Prev Week=100 in 13 Aug 2018. This records an increase from the previous number of 100.900 Prev Week=100 for 06 Aug 2018. Russia Consumer Price Index (CPI): Weekly Estimate: Prev Week=100: Millet data is updated weekly, averaging 100.800 Prev Week=100 from Feb 2018 (Median) to 13 Aug 2018, with 26 observations. The data reached an all-time high of 101.800 Prev Week=100 in 23 Jul 2018 and a record low of 100.300 Prev Week=100 in 07 May 2018. Russia Consumer Price Index (CPI): Weekly Estimate: Prev Week=100: Millet data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Inflation – Table RU.IA007: Consumer Price Index: Weekly Estimate.

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

Russia Consumer Price Index (CPI): Weekly Estimate: Prev Month=100: Cabbage data was reported at 94.500 Prev Mth=100 in 13 Aug 2018. This records a decrease from the previous number of 95.800 Prev Mth=100 for 06 Aug 2018. Russia Consumer Price Index (CPI): Weekly Estimate: Prev Month=100: Cabbage data is updated weekly, averaging 100.450 Prev Mth=100 from Jul 2017 (Median) to 13 Aug 2018, with 58 observations. The data reached an all-time high of 118.200 Prev Mth=100 in 18 Jun 2018 and a record low of 55.000 Prev Mth=100 in 31 Jul 2017. Russia Consumer Price Index (CPI): Weekly Estimate: Prev Month=100: Cabbage data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Inflation – Table RU.IA007: Consumer Price Index: Weekly Estimate.

CPI: Weekly Estimate: Prev Dec=100: Heating: per Gcal data was reported at 103.500 Prev Dec=100 in 13 Aug 2018. This stayed constant from the previous number of 103.500 Prev Dec=100 for 06 Aug 2018. CPI: Weekly Estimate: Prev Dec=100: Heating: per Gcal data is updated weekly, averaging 102.950 Prev Dec=100 from Jul 2017 (Median) to 13 Aug 2018, with 58 observations. The data reached an all-time high of 103.900 Prev Dec=100 in 25 Sep 2017 and a record low of 99.800 Prev Dec=100 in 25 Jun 2018. CPI: Weekly Estimate: Prev Dec=100: Heating: per Gcal data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Inflation – Table RU.IA007: Consumer Price Index: Weekly Estimate.

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.

CPI: Weekly Estimate: Prev Month=100 data was reported at 100.700 Prev Mth=100 in 14 Jan 2019. This records an increase from the previous number of 100.200 Prev Mth=100 for 07 Jan 2019. CPI: Weekly Estimate: Prev Month=100 data is updated weekly, averaging 100.200 Prev Mth=100 from Jun 2011 (Median) to 14 Jan 2019, with 385 observations. The data reached an all-time high of 102.100 Prev Mth=100 in 26 Jan 2015 and a record low of 99.600 Prev Mth=100 in 28 Aug 2017. CPI: Weekly Estimate: Prev Month=100 data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Inflation – Table RU.IA007: Consumer Price Index: Weekly Estimate.

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.

The release includes an article which presents a method used to estimate a CPI series back to 1950. In addition the estimated series are provided at the all-items and two-digit CPI levels. Source agency: Office for National Statistics Designation: Supporting material Language: English Alternative title: Modelling a Back Series for the Consumer Price Index

The annual average consumer price index in Panama was estimated at about 110.39 points in 2024. Between 1980 and 2024, the index rose by approximately 60.97 points, though the increase followed an uneven trajectory rather than a consistent upward trend. The index will steadily rise by around 12.13 points over the period from 2024 to 2030, reflecting a clear upward trend.As defined by the International Monetary Fund, this indicator measures inflation on the basis of the average consumer price index. This index measure expresses a country's average level of prices based on a typical basket of consumer goods and services during a certain year. Typically a reference year exists for which a value of 100 had been assigned.

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

Russia Consumer Price Index (CPI): Weekly Estimate: Prev Dec=100: Fresh Tomatoes data was reported at 51.600 Prev Dec=100 in 13 Aug 2018. This records a decrease from the previous number of 53.200 Prev Dec=100 for 06 Aug 2018. Russia Consumer Price Index (CPI): Weekly Estimate: Prev Dec=100: Fresh Tomatoes data is updated weekly, averaging 85.350 Prev Dec=100 from Jul 2017 (Median) to 13 Aug 2018, with 58 observations. The data reached an all-time high of 112.500 Prev Dec=100 in 25 Dec 2017 and a record low of 51.600 Prev Dec=100 in 13 Aug 2018. Russia Consumer Price Index (CPI): Weekly Estimate: Prev Dec=100: Fresh Tomatoes data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Inflation – Table RU.IA007: Consumer Price Index: Weekly Estimate.

Inflation Rate in the United States increased to 2.70 percent in June from 2.40 percent in May of 2025. This dataset provides - United States Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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 Jun 2025 about chained, all items, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

The consumer price index (CPI) is the instrument measuring inflation. It is used to estimate, between two given periods, the average variation in the prices of products consumed by households.This graph depicts the Consumer Price Index (CPI) of newspapers and periodic publications in France between May 2020 and December 2024. In December 2024, the CPI reached *****.

Quarterly data on plutocratically weighted and CPI-consistent indices, annual inflation rates, expenditure shares and contributions for UK household groups.

The purpose of this article is to give the estimated effects on the Consumer Price Indices and Retail Prices Index resulting from duty and taxation changes announced in the Budget.

This article is simply a helpful guide to users of the CPI and RPI. The Office for National Statistics (ONS) accepts no liability whatsoever for losses of any kind arising as a result of reliance on this note.

Source agency: Office for National Statistics

Designation: National Statistics

Language: English

Alternative title: Budget

This table contains figures about the price developments of a package of goods and services purchased by the average Dutch household, also known as the consumer price index (CPI). The table also includes the derived consumer price index: 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) and subsidies and consumption-related taxes (e.g. motor vehicle tax).

The table also includes the month-on-month and year-on-year changes of the CPI. The year-on-year change of total consumer expenditures is known as inflation. The figures are shown for 338 product groups in 2025. Furthermore, 34 combinations of product groups (special aggregates) are displayed in the table. The weighting coefficient shows how much Dutch consumers spend on each product group in relation to their total expenditure. The total weighting is 100,000.

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 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, annual rates of change and monthly rates of change 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. These figures are not suitable for indexation purposes. Therefore, the publication of the flash estimate does not include indices. The rates of change of the flash estimate are characterized as provisional.

The flash estimate is followed by the first publication of all indices and rates of change for the reporting month. These figures are also provisional. The figures for that same reporting month become final one month later. Differences between the provisional and final indices 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.

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 2006 and 2009, an index was published for the same expenditure category. The base year for that index series was 2006=100. It was discontinued after December 2009. The current series starts again from 100 in December 2023.

Changes as of 1 June 2016: For all series new data is added for the period 1996 to January 2015. To complete the data, the existing series that were terminated before 2015 are added to the table.

This concerns the series: 2006=100: 011320 Frozen fish 031100 Clothing materials 031420 Repair and hire of clothing 032200 Repair and hire of footwear 043210 Services of plumbers 043230 Maintenance of heating systems 043250 Services of carpenters 043290 Oth. maint. services for dwell. 051300 Repair of furniture etc. 053190 Other major household appliances 063000 Services of hospitals 091420 Unrecorded recording media 094240 Hire of equipment for culture 096010 Package domestic holidays 2000=100: 134000 Real estate tax

These series do not have base year 2015=100. 2006=100 and 2000=100 are added for these series. When another base year applies, it is mentioned explicitly in the description.

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.

The new indices are usually 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.

The Consumer Price Index (CPI) is a key economic indicator used by policymakers worldwide to monitor inflation and guide monetary policy decisions. In Korea, the CPI significantly impacts decisions on interest rates, fiscal policy frameworks, and the Bank of Korea’s strategies for economic stability. Given its importance, accurately forecasting the Total CPI is crucial for informed decision-making. Achieving accurate estimation, however, presents several challenges. First, the Korean Total CPI is calculated as a weighted sum of 462 items grouped into 12 categories of goods and services. This heterogeneity makes it difficult to account for all variations in consumer behavior and price dynamics. Second, the monthly frequency of CPI data results in a relatively sparse time series, limiting the performance of the analysis. Furthermore, external factors such as policy changes and pandemics add further volatility to the CPI. To address these challenges, we propose a novel framework consisting of four key components: (1) a hybrid Convolutional Neural Network-Long Short-Term Memory mechanism designed to capture complex patterns in CPI data, enhancing estimation accuracy; (2) multivariate inputs that incorporate CPI component indices alongside auxiliary variables for richer contextual information; (3) data augmentation through linear interpolation to convert monthly data into daily data, optimizing it for highly parametrized deep learning models; and (4) sentiment index derived from Korean CPI-related news articles, providing insights into external factors influencing CPI fluctuations. Experimental results demonstrate that the proposed model outperforms existing approaches in CPI prediction, as evidenced by lower RMSE values. This improved accuracy has the potential to support the development of more timely and effective economic policies.