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.

Analysis of ‘🚊 Consumer Price Index’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/consumer-price-indexe on 13 February 2022.

--- Dataset description provided by original source is as follows ---

About this dataset

9The Consumer Price Index for All Urban Consumers: All Items (CPIAUCSL) is a measure of the average monthly change in the price for goods and services paid by urban consumers between any two time periods.(1) It can also represent the buying habits of urban consumers. This particular index includes roughly 88 percent of the total population, accounting for wage earners, clerical workers, technical workers, self-employed, short-term workers, unemployed, retirees, and those not in the labor force.(1)

The CPIs are based on prices for food, clothing, shelter, and fuels; transportation fares; service fees (e.g., water and sewer service); and sales taxes. Prices are collected monthly from about 4,000 housing units and approximately 26,000 retail establishments across 87 urban areas.(1) To calculate the index, price changes are averaged with weights representing their importance in the spending of the particular group. The index measures price changes (as a percent change) from a predetermined reference date.(1) In addition to the original unadjusted index distributed, the Bureau of Labor Statistics also releases a seasonally adjusted index. The unadjusted series reflects all factors that may influence a change in prices. However, it can be very useful to look at the seasonally adjusted CPI, which removes the effects of seasonal changes, such as weather, school year, production cycles, and holidays.(1)

The CPI can be used to recognize periods of inflation and deflation. Significant increases in the CPI within a short time frame might indicate a period of inflation, and significant decreases in CPI within a short time frame might indicate a period of deflation. However, because the CPI includes volatile food and oil prices, it might not be a reliable measure of inflationary and deflationary periods. For a more accurate detection, the core CPI (Consumer Price Index for All Urban Consumers: All Items Less Food & Energy [CPILFESL]) is often used. When using the CPI, please note that it is not applicable to all consumers and should not be used to determine relative living costs.(1) Additionally, the CPI is a statistical measure vulnerable to sampling error since it is based on a sample of prices and not the complete average.(1)

Attribution: US. Bureau of Labor Statistics from The Federal Reserve Bank of St. Louis

For more information on the consumer price indexes, see:

• (1) Bureau of Economic Analysis. “CPI Detailed Report.” 2013
• (2) Handbook of Methods
• (3) Understanding the CPI: Frequently Asked Questions

This dataset was created by Finance and contains around 900 samples along with Consumer Price Index For All Urban Consumers: All Items, Title:, technical information and other features such as: - Consumer Price Index For All Urban Consumers: All Items - Title: - and more.

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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.

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

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.

Consumer Price Index CPI in Pakistan increased to 264.22 points in June from 263.60 points in May of 2025. This dataset provides - Pakistan Consumer Price Index (CPI) - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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.

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.

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.

Consumer Price Index CPI in Egypt decreased to 254.20 points in June from 254.50 points in May of 2025. This dataset provides - Egypt Consumer Price Index (CPI) - actual values, historical data, forecast, chart, statistics, economic calendar and news.

analyze the consumer expenditure survey (ce) with r the consumer expenditure survey (ce) is the primo data source to understand how americans spend money. participating households keep a running diary about every little purchase over the year. those diaries are then summed up into precise expenditure categories. how else are you gonna know that the average american household spent $34 (±2) on bacon, $826 (±17) on cellular phones, and $13 (±2) on digital e-readers in 2011? an integral component of the market basket calculation in the consumer price index, this survey recently became available as public-use microdata and they're slowly releasing historical files back to 1996. hooray! for a t aste of what's possible with ce data, look at the quick tables listed on their main page - these tables contain approximately a bazillion different expenditure categories broken down by demographic groups. guess what? i just learned that americans living in households with $5,000 to $9,999 of annual income spent an average of $283 (±90) on pets, toys, hobbies, and playground equipment (pdf page 3). you can often get close to your statistic of interest from these web tables. but say you wanted to look at domestic pet expenditure among only households with children between 12 and 17 years old. another one of the thirteen web tables - the consumer unit composition table - shows a few different breakouts of households with kids, but none matching that exact population of interest. the bureau of labor statistics (bls) (the survey's designers) and the census bureau (the survey's administrators) have provided plenty of the major statistics and breakouts for you, but they're not psychic. if you want to comb through this data for specific expenditure categories broken out by a you-defined segment of the united states' population, then let a little r into your life. fun starts now. fair warning: only analyze t he consumer expenditure survey if you are nerd to the core. the microdata ship with two different survey types (interview and diary), each containing five or six quarterly table formats that need to be stacked, merged, and manipulated prior to a methodologically-correct analysis. the scripts in this repository contain examples to prepare 'em all, just be advised that magnificent data like this will never be no-assembly-required. the folks at bls have posted an excellent summary of what's av ailable - read it before anything else. after that, read the getting started guide. don't skim. a few of the descriptions below refer to sas programs provided by the bureau of labor statistics. you'll find these in the C:\My Directory\CES\2011\docs directory after you run the download program. this new github repository contains three scripts: 2010-2011 - download all microdata.R lo op through every year and download every file hosted on the bls's ce ftp site import each of the comma-separated value files into r with read.csv depending on user-settings, save each table as an r data file (.rda) or stat a-readable file (.dta) 2011 fmly intrvw - analysis examples.R load the r data files (.rda) necessary to create the 'fmly' table shown in the ce macros program documentation.doc file construct that 'fmly' table, using five quarters of interviews (q1 2011 thru q1 2012) initiate a replicate-weighted survey design object perform some lovely li'l analysis examples replicate the %mean_variance() macro found in "ce macros.sas" and provide some examples of calculating descriptive statistics using unimputed variables replicate the %compare_groups() macro found in "ce macros.sas" and provide some examples of performing t -tests using unimputed variables create an rsqlite database (to minimize ram usage) containing the five imputed variable files, after identifying which variables were imputed based on pdf page 3 of the user's guide to income imputation initiate a replicate-weighted, database-backed, multiply-imputed survey design object perform a few additional analyses that highlight the modified syntax required for multiply-imputed survey designs replicate the %mean_variance() macro found in "ce macros.sas" and provide some examples of calculating descriptive statistics using imputed variables repl icate the %compare_groups() macro found in "ce macros.sas" and provide some examples of performing t-tests using imputed variables replicate the %proc_reg() and %proc_logistic() macros found in "ce macros.sas" and provide some examples of regressions and logistic regressions using both unimputed and imputed variables replicate integrated mean and se.R match each step in the bls-provided sas program "integr ated mean and se.sas" but with r instead of sas create an rsqlite database when the expenditure table gets too large for older computers to handle in ram export a table "2011 integrated mean and se.csv" that exactly matches the contents of the sas-produced "2011 integrated mean and se.lst" text file click here to view these three scripts for...

The Regional Price Index contrasts the cost of a common basket of goods and services at a number of regional locations to the Perth metropolitan area. The RPIs were commissioned to assist with the calculation of the Western Australian State Government’s regional district allowance, and it has been used to assist in policy decision-making. Show full description

Consumer Price Index CPI in Israel increased to 103.10 points in June from 102.80 points in May of 2025. This dataset provides the latest reported value for - Israel Consumer Price Index (CPI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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

KR: CPI: Local Source Base Year: Education data was reported at 104.517 2020=100 in Dec 2023. This records an increase from the previous number of 104.470 2020=100 for Sep 2023. KR: CPI: Local Source Base Year: Education data is updated quarterly, averaging 71.253 2020=100 from Mar 1985 (Median) to Dec 2023, with 156 observations. The data reached an all-time high of 104.517 2020=100 in Dec 2023 and a record low of 17.170 2020=100 in Mar 1985. KR: CPI: Local Source Base Year: Education 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 South Korea – Table KR.OECD.MEI: Consumer Price Index: COICOP 1999: OECD Member: Quarterly. The Consumer price index is produced by collecting the prices of goods and services and its result is used as basic data for government financial policies and as deflator of other economic indices, such as Household Income & Expenditure and National Account. Type of prices: Actual transaction prices exclude abnormal prices such as temporarily irregular prices caused by disaster or similar conditions, discounts due to volume transactions, goods sold on an installment basis and second-hand articles. Tax: Sales taxes are included. Method of collection: Most collection is done by personal visit and some are collected centrally for items such as electric charges, whose prices are the same throughout the country. Rents are collected from households as part of the LFS (Labor Force Survey). Treatment of rentals for housing: the index includes a measure of rentals for housing. Treatment of Owner-occupied housing: It is not included in the CPI main index but it is provided as a complementary index. Treatment of missing prices: When a price observation is temporarily unavailable in a given month, its price is imputed by the price movements of similar products of the same item in the same geographic area. Treatment of quality changes: For minor quality differences (such as changes in packaging, style,...) a direct adjustment for the price difference is applied. For significant quality differences, the splicing (overlap) method is used. Introduction of new products: New items are introduced at the time weights are updated. it means once every five years. Selection of replacement items: When a specific variety is permanently unavailable in an outlet, another product in the same outlet that most closely meets the specifications of the previous variety is selected as a replacement. Treatment of seasonal items: For items such as fresh fish, fruit, and vegetables that are not available on the market during the off-season, the last available prices are used to calculate the index until new prices are available.; Index series starts in January 1985

South Africa ZA: Consumer Price Index (CPI): Local Source Base Year: Communication data was reported at 99.483 Dec2021=100 in 2023. This records a decrease from the previous number of 99.742 Dec2021=100 for 2022. South Africa ZA: Consumer Price Index (CPI): Local Source Base Year: Communication data is updated yearly, averaging 101.471 Dec2021=100 from Dec 2008 (Median) to 2023, with 16 observations. The data reached an all-time high of 107.192 Dec2021=100 in 2009 and a record low of 99.483 Dec2021=100 in 2023. South Africa ZA: Consumer Price Index (CPI): Local Source Base Year: Communication 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 South Africa – Table ZA.OECD.MEI: Consumer Price Index: COICOP 1999: Non OECD Member: Annual. The CPI is constructed to measure changes over time in the general level of prices of consumer goods and services that households acquire, use, or pay for. The index aims to measure the change in consumer prices over time. Types of prices: Prices used are actual transaction prices, including Value Added Tax. Unconditional discounts are reflected. Money off coupons, loyalty cards, free gifts, trading stamps and free extra product are ignored. Price collection method: For Commodities, taxi fares, rentals and restaurant: Price Collectors visit sampled outlets in order to record prices ('Field-based collection'). Mostly for prices for Services: Staff based at Statistics SA carry out the collection by post, fax, e-mail and telephone survey ('Head office collection'). The index includes a measure of owner-occupied housing: Rental equivalence approach is used. Treatment of missing prices: The missing price of a specific product at a specific respondent is indirectly imputed by ignoring the respondent when calculating the geometric mean of all the respondent price relatives for the specific product. Selection of replacement items: The price collector selects a replacement variety when the current variety is permanently unavailable. Adjustments for quality differences: No quality adjustments are made on prices in the CPI Introducing new products: New products are only included if it substitutes existing products in the market. Completely new products that enter the market are not included in the basket before the next IES, weight update is done. Seasonal items: Prices are collected for specified in season months.; Index series starts in January 2008

South Korea Consumer Price Index (CPI): Local Source Base Year: Transport data was reported at 115.053 2020=100 in Dec 2023. This records an increase from the previous number of 113.207 2020=100 for Sep 2023. South Korea Consumer Price Index (CPI): Local Source Base Year: Transport data is updated quarterly, averaging 79.988 2020=100 from Mar 1985 (Median) to Dec 2023, with 156 observations. The data reached an all-time high of 120.640 2020=100 in Jun 2022 and a record low of 27.630 2020=100 in Mar 1985. South Korea Consumer Price Index (CPI): Local Source Base Year: Transport 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 South Korea – Table KR.OECD.MEI: Consumer Price Index: COICOP 1999: OECD Member: Quarterly. The Consumer price index is produced by collecting the prices of goods and services and its result is used as basic data for government financial policies and as deflator of other economic indices, such as Household Income & Expenditure and National Account. Type of prices: Actual transaction prices exclude abnormal prices such as temporarily irregular prices caused by disaster or similar conditions, discounts due to volume transactions, goods sold on an installment basis and second-hand articles. Tax: Sales taxes are included. Method of collection: Most collection is done by personal visit and some are collected centrally for items such as electric charges, whose prices are the same throughout the country. Rents are collected from households as part of the LFS (Labor Force Survey). Treatment of rentals for housing: the index includes a measure of rentals for housing. Treatment of Owner-occupied housing: It is not included in the CPI main index but it is provided as a complementary index. Treatment of missing prices: When a price observation is temporarily unavailable in a given month, its price is imputed by the price movements of similar products of the same item in the same geographic area. Treatment of quality changes: For minor quality differences (such as changes in packaging, style,...) a direct adjustment for the price difference is applied. For significant quality differences, the splicing (overlap) method is used. Introduction of new products: New items are introduced at the time weights are updated. it means once every five years. Selection of replacement items: When a specific variety is permanently unavailable in an outlet, another product in the same outlet that most closely meets the specifications of the previous variety is selected as a replacement. Treatment of seasonal items: For items such as fresh fish, fruit, and vegetables that are not available on the market during the off-season, the last available prices are used to calculate the index until new prices are available.; Index series starts in January 1985

Since 1981, the ISPF has been responsible for the calculation of the Consumer Price Index (CPI), which is the instrument for measuring inflation in French Polynesia. This official statistical indicator reflects the increase, fall or stability of prices from one month to another, or over 12 slippery months. It is used as a reference index when reviewing contracts (rents, maintenance, etc.) and to fix the amount of the SMIG. Its calculation is standardised and comes from the collection of numerous prices of products and services, of constant quality, in the territory. Hybrid indexes are linear compositions of elementary indices derived from the consumer price index and/or building and public works indexes. In some cases, the basic indices are complemented by very specific collections to monitor significant budget items not otherwise represented. Since 1981, the ISPF has been responsible for calculating the construction indexes, which reflect the evolution of the burden on construction companies and are used in the revision and updating of public procurement prices. Their calculation is based on the combination of the prices of different types of goods and services according to the division of burdens on an activity. These charges are divided into four major sub-assemblies: — wage and social charges; — energy-related loads; — loads related to the building materials used; — charges related to miscellaneous operating products and services.

Consumer Price Index CPI in China increased to 103.20 points in April from 103.10 points in March of 2025. This dataset provides - China Consumer Price Index (CPI) - actual values, historical data, forecast, chart, statistics, economic calendar and news.