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

Consumer Price Index CPI in the United States increased to 323.98 points in August from 323.05 points in July 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.

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.

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.

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

The Consumer Price Index in the United States increased 0.40 percent in August of 2025 over the previous month. This dataset provides - United States Inflation Rate MoM - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Context

Consumer Price Indices (CPI) measure changes over time in general level of prices of goods and services that households acquire for the purpose of consumption. CPI numbers are widely used as a macroeconomic indicator of inflation, as a tool by governments and central banks for inflation targeting and for monitoring price stability, and as deflators in the national accounts. CPI is also used for indexing dearness allowance to employees for increase in prices. CPI is therefore considered as one of the most important economic indicators. For construction of CPI numbers, two requisite components are weighting diagrams (consumption patterns) and price data collected at regular intervals.

Content

The data refers to group wise all India Consumer Price Index for Rural & Urban with base year 2010.

Acknowledgements

• The dataset is published by Central Statistical Office.
• This data is sourced from India's Goverment's Open Data website: data.gov.in
• Released Under: National Data Sharing and Accessibility Policy (NDSAP)

Inspiration

This can be used for various purposes including tasks such as exploring growth/inflation in India over the time.

Annual indexes for major components and special aggregates of the Consumer Price Index (CPI), for Canada, provinces, Whitehorse, Yellowknife and Iqaluit. Data are presented for the last five years. The base year for the index is 2002=100.

Monthly indexes and percentage changes for all 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.

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

The average consumer price index (CPI) is a measure of a country's average level of prices based on the cost of a typical basket of consumer goods and services in a given period. The rate of inflation is the percent change in the average CPI. Source: World Economic Outlook (April 2021)

The Harmonised Index of Consumer Prices (HICP) gives comparable measures of inflation for the countries and country groups for which it is produced. It is an economic indicator that measures the change over time of the prices of consumer goods and services acquired by households. In other words, it is a set of consumer price indices (CPIs) calculated according to a harmonised approach and a set of definitions as laid down in Regulations and Recommendations.

In addition, the HICP provides the official measure of consumer price inflation in the euro area for the purposes of monetary policy and the assessment of inflation convergence as required under the Maastricht criteria for accession to the euro.

The HICP is available for all EU Member States, Iceland, Norway and Switzerland. In addition to the individual country series there are three country groups: the euro area (EA), the European Union (EU), and the European Economic Area (EEA), the latter covering Iceland and Norway, in addition to the EU. Liechtenstein does not produce HICP and is therefore not included in the EEA HICP aggregate.

The official indices for the country-groups reflect the changing country composition of the EA, the EU and the EEA. The HICP for new Member States is chained into the aggregate indices at the time of accession. For analytical purposes Eurostat also computes country-group indices with stable country composition over time.

HICP for Albania, Montenegro, North Macedonia, Serbia, Türkiye (candidate countries), as well as Kosovo (^*) are also published. Their data is flagged with 'd' ('definition differs'), given that its conformity with the methodological HICP requirements has not been evaluated by Eurostat.

A proxy-HICP for the all-items index and main headings is also available for the USA.

National HICPs are produced by National Statistical Institutes (NSIs), while country-group indices (EU, EA and EEA) are produced by Eurostat.

The data are released monthly in Eurostat's database and include price indices and rates of change (monthly, annual and 12-month moving average changes). In addition to the headline 'all-items HICP', over 400 sub-indices for different goods and services and over 30 special aggregates are available, including the HICP at administered prices (HICP-AP).

Every year, with the release of the January data, the relative weights for the indices and the special aggregates (item weights) as well as the individual countries' weight within the country groups (country weights) are published.

The composition of the HICP for administered prices (HICP-AP), i.e. which sub-indices are classified as mainly or fully administered by each Member State, is updated at the same time (more information on HICP-AP can be found under the Specific topics on the web page: Information on data - Harmonised Indices of Consumer Prices (HICP) - Eurostat (europa.eu) (#HICP - administered prices).

Eurostat publishes early estimates, called 'flash estimate', of the euro area overall inflation rate and selected components. These are published monthly, usually on the last working day of the reference month.

The HICP at constant tax rates (HICP-CT) is also published every month and follows the same computation principles as the HICP, but is based on prices at constant tax rates. The comparison with the standard HICP can show the potential impact of changes in indirect taxes, such as value-added tax (VAT) and excise duties, on the overall inflation (more information can be found in the 'HICP-CT Reference methodology document').

Flags

Flags used in the Eurostat online database provide information about the status of the data or a specific data value. The list of used flags can be found in the web page Database - Eurostat (europa.eu), above the tree, through the 'i' box 'information on the database' and then 'Flags and special values' topic.

(*) Under United Nations Security Council Resolution 1244/99.

Consumer Price Index CPI in India increased to 197.20 points in September from 197 points in August of 2025. This dataset provides - India Consumer Price Index (CPI) - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Japan JP: Consumer Price Index (CPI): YoY data was reported at 2.091 % in 2026. This records an increase from the previous number of 1.918 % for 2025. Japan JP: Consumer Price Index (CPI): YoY data is updated yearly, averaging 1.899 % from Dec 1961 (Median) to 2026, with 66 observations. The data reached an all-time high of 23.212 % in 1974 and a record low of -1.363 % in 2009. Japan JP: Consumer Price Index (CPI): YoY 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 Japan – Table JP.OECD.EO: Consumer and Wholesale Price Index: Forecast: OECD Member: Annual. CPI_YTYPCT- Headline inflation The CPI year-on-year changes is a measure of inflation

India IN: Consumer Price Index (CPI): YoY data was reported at 4.035 % in 2026. This records a decrease from the previous number of 4.196 % for 2025. India IN: Consumer Price Index (CPI): YoY data is updated yearly, averaging 5.932 % from Dec 1990 (Median) to 2026, with 37 observations. The data reached an all-time high of 13.399 % in 1991 and a record low of 3.383 % in 1999. India IN: Consumer Price Index (CPI): YoY 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 India – Table IN.OECD.EO: Consumer and Wholesale Price Index: Forecast: Non OECD Member: Annual. CPI_YTYPCT- Headline inflation The CPI year-on-year changes is a measure 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.

Australia Consumer Price Index (CPI): YoY data was reported at 2.568 % in 2026. This records an increase from the previous number of 2.258 % for 2025. Australia Consumer Price Index (CPI): YoY data is updated yearly, averaging 3.286 % from Dec 1961 (Median) to 2026, with 66 observations. The data reached an all-time high of 15.417 % in 1974 and a record low of -0.319 % in 1962. Australia Consumer Price Index (CPI): YoY 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 Australia – Table AU.OECD.EO: Consumer and Wholesale Price Index: Forecast: OECD Member: Annual. CPI_YTYPCT- Headline inflation The CPI year-on-year changes is a measure of inflation

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.

Indonesia ID: Consumer Price Index (CPI): YoY data was reported at 2.434 % in 2026. This records an increase from the previous number of 2.235 % for 2025. Indonesia ID: Consumer Price Index (CPI): YoY data is updated yearly, averaging 5.356 % from Dec 1996 (Median) to 2026, with 31 observations. The data reached an all-time high of 58.451 % in 1998 and a record low of 1.560 % in 2021. Indonesia ID: Consumer Price Index (CPI): YoY 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 Indonesia – Table ID.OECD.EO: Consumer and Wholesale Price Index: Forecast: Non OECD Member: Annual. CPI_YTYPCT- Headline inflation The CPI year-on-year changes is a measure of inflation; Composite Consumer Price Index of 82 Cities (2012=100)

The Harmonised Index of Consumer Prices (HICP) gives comparable measures of inflation for the countries and country groups for which it is produced. It is an economic indicator that measures the change over time of the prices of consumer goods and services acquired by households. In other words, it is a set of consumer price indices (CPIs) calculated according to a harmonised approach and a set of definitions as laid down in Regulations and Recommendations.

In addition, the HICP provides the official measure of consumer price inflation in the euro area for the purposes of monetary policy and the assessment of inflation convergence as required under the Maastricht criteria for accession to the euro.

The HICP is available for all EU Member States, Iceland, Norway and Switzerland. In addition to the individual country series there are three country groups: the euro area (EA), the European Union (EU), and the European Economic Area (EEA), the latter covering Iceland and Norway, in addition to the EU. Liechtenstein does not produce HICP and is therefore not included in the EEA HICP aggregate.

The official indices for the country-groups reflect the changing country composition of the EA, the EU and the EEA. The HICP for new Member States is chained into the aggregate indices at the time of accession. For analytical purposes Eurostat also computes country-group indices with stable country composition over time.

HICP for Albania, Montenegro, North Macedonia, Serbia, Türkiye (candidate countries), as well as Kosovo (^*) are also published. Their data is flagged with 'd' ('definition differs'), given that its conformity with the methodological HICP requirements has not been evaluated by Eurostat.

A proxy-HICP for the all-items index and main headings is also available for the USA.

National HICPs are produced by National Statistical Institutes (NSIs), while country-group indices (EU, EA and EEA) are produced by Eurostat.

The data are released monthly in Eurostat's database and include price indices and rates of change (monthly, annual and 12-month moving average changes). In addition to the headline 'all-items HICP', over 400 sub-indices for different goods and services and over 30 special aggregates are available, including the HICP at administered prices (HICP-AP).

Every year, with the release of the January data, the relative weights for the indices and the special aggregates (item weights) as well as the individual countries' weight within the country groups (country weights) are published.

The composition of the HICP for administered prices (HICP-AP), i.e. which sub-indices are classified as mainly or fully administered by each Member State, is updated at the same time (more information on HICP-AP can be found under the Specific topics on the web page: Information on data - Harmonised Indices of Consumer Prices (HICP) - Eurostat (europa.eu) (#HICP - administered prices).

Eurostat publishes early estimates, called 'flash estimate', of the euro area overall inflation rate and selected components. These are published monthly, usually on the last working day of the reference month.

The HICP at constant tax rates (HICP-CT) is also published every month and follows the same computation principles as the HICP, but is based on prices at constant tax rates. The comparison with the standard HICP can show the potential impact of changes in indirect taxes, such as value-added tax (VAT) and excise duties, on the overall inflation (more information can be found in the 'HICP-CT Reference methodology document').

Flags

Flags used in the Eurostat online database provide information about the status of the data or a specific data value. The list of used flags can be found in the web page Database - Eurostat (europa.eu), above the tree, through the 'i' box 'information on the database' and then 'Flags and special values' topic.

(*) Under United Nations Security Council Resolution 1244/99.