Consumer Price Index CPI in the United States increased to 324.80 points in September from 323.98 points in August 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.

View monthly updates and historical trends for US Consumer Price Index. from United States. Source: Bureau of Labor Statistics. Track economic data with Y…

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

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.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Food at Home in U.S. City Average (CUSR0000SAF11) from Jan 1952 to Sep 2025 about urban, food, consumer, CPI, housing, inflation, price index, indexes, price, and USA.

In april 2025, the consumer price index (CPI) in Italy stood at 122.6, compared to 120.3 in the same month of the previous year. The Consumer price index is a measure that examines the changes in the purchasing-power of a currency and the inflation rate. It detects changes in the price level of a market basket of consumer goods and services purchased by households.

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.

Key information about China Consumer Price Index CPI growth

• China Consumer Price Index (CPI) growth was measured at 0.2 % YoY in Oct 2025, compared with a rate of -0.3 % in the previous month.
• China Consumer Price Index growth data is updated monthly, available from Jan 1985 to Oct 2025, with an averaged number of 1.8 % YoY.
• The data reached an all-time high of 28.4 % YoY in Feb 1989 and a record low of -2.2 % YoY in May 1999.

CEIC calculates Consumer Price Index Growth from monthly Consumer Price Index. The National Bureau of Statistics provides Consumer Price Index with base Previous Year=100. [COVID-19-IMPACT]

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

Austria Consumer Price Index (CPI) data was reported at 129.500 2020=100 in Nov 2025. This records an increase from the previous number of 129.000 2020=100 for Oct 2025. Austria Consumer Price Index (CPI) data is updated monthly, averaging 50.300 2020=100 from Jan 1948 (Median) to Nov 2025, with 935 observations. The data reached an all-time high of 129.500 2020=100 in Nov 2025 and a record low of 5.900 2020=100 in Jun 1948. Austria Consumer Price Index (CPI) data remains active status in CEIC and is reported by Statistics Austria. The data is categorized under Global Database’s Austria – Table AT.I: Consumer Price Index: 2020=100.

Key information about Japan Consumer Price Index CPI growth

• Japan Consumer Price Index (CPI) growth was measured at 2.9 % YoY in Oct 2025, compared with a rate of 2.9 % in the previous month.
• Japan Consumer Price Index growth data is updated monthly, available from Jan 1996 to Oct 2025, with an averaged number of 0.0 % YoY.

CEIC calculates Consumer Price Index Growth from monthly Consumer Price Index. Statistical Bureau provides Consumer Price Index with base 2020=100. Consumer Price Index Growth prior to January 2011 is calculated from Consumer Price Index with base 2010=100, prior to January 2006 from Consumer Price Index with base 2005=100, prior to January 2001 from Consumer Price Index with base 2000=100 and prior to January 1997 from Consumer Price Index with base 1995=100. [COVID-19-IMPACT]

Japan Consumer Price Index (CPI): Goods data was reported at 119.300 2020=100 in Mar 2025. This records an increase from the previous number of 119.100 2020=100 for Feb 2025. Japan Consumer Price Index (CPI): Goods data is updated monthly, averaging 93.000 2020=100 from Jan 1970 (Median) to Mar 2025, with 663 observations. The data reached an all-time high of 120.000 2020=100 in Jan 2025 and a record low of 35.900 2020=100 in Aug 1970. Japan Consumer Price Index (CPI): Goods data remains active status in CEIC and is reported by Statistical Bureau. The data is categorized under Global Database’s Japan – Table JP.I002: Consumer Price Index: 2020=100.

Key information about Greece Consumer Price Index CPI growth

• Greece Consumer Price Index (CPI) growth was measured at 2.0 % YoY in Oct 2025, compared with a rate of 1.9 % in the previous month.
• Greece Consumer Price Index growth data is updated monthly, available from Jan 1956 to Oct 2025, with an averaged number of 23.9 % YoY.
• The data reached an all-time high of 33.6 % YoY in Jan 1974 and a record low of -2.9 % YoY in Nov 2013.

CEIC calculates Consumer Price Index Growth from monthly Consumer Price Index. Hellenic Statistical Authority provides Consumer Price Index with base 2020=100. Hellenic Statistical Authority applies a chain linked methodology for the Consumer Price Index. The intermediate situation to which the indices are chain-linked is December of the previous year. Consumer Price Index Growth prior to January 1960 is sourced from the International Monetary Fund.

Consumer Price Index CPI in India increased to 197.30 points in October from 197 points in September of 2025. This dataset provides - India Consumer Price Index (CPI) - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Monthly indexes 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 current month and previous four months. The base year for the index is 2002=100.

Austria Consumer Price Index (CPI): Goods data was reported at 129.300 2020=100 in Mar 2025. This records an increase from the previous number of 128.700 2020=100 for Feb 2025. Austria Consumer Price Index (CPI): Goods data is updated monthly, averaging 123.600 2020=100 from Jan 2021 (Median) to Mar 2025, with 51 observations. The data reached an all-time high of 129.300 2020=100 in Mar 2025 and a record low of 99.700 2020=100 in Jan 2021. Austria Consumer Price Index (CPI): Goods data remains active status in CEIC and is reported by Statistics Austria. The data is categorized under Global Database’s Austria – Table AT.I005: Consumer Price Index: 2020=100.

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: W: Housing data was reported at 2,149.000 Per 10TH in Mar 2025. This stayed constant from the previous number of 2,149.000 Per 10TH for Feb 2025. Consumer Price Index: W: Housing data is updated monthly, averaging 2,149.000 Per 10TH from Jul 2021 (Median) to Mar 2025, with 45 observations. The data reached an all-time high of 2,149.000 Per 10TH in Mar 2025 and a record low of 2,149.000 Per 10TH in Mar 2025. Consumer Price Index: W: Housing data remains active status in CEIC and is reported by Statistical Bureau. The data is categorized under Global Database’s Japan – Table JP.I009: Consumer Price Index: 2020=100: Weight.

In August 2024, the global consumer price index, excluding the United States, stood at 187.7, compared to 160.1 for the U.S. The data for the world and emerging economies are distorted by hyperinflation in Venezuela and may not accurately reflect the inflation rate of other countries. However, Russia's war in Ukraine caused a surge in prices globally through 2022 and 2023. The headline consumer price index tracks the changes in the price level of a basket of goods and services purchased by households. Economic challenges in Argentina While CPI increases have been significant globally, certain economies have experienced more dramatic increases than others. Argentina is a notable case of these increases, as the CPI has increased more than 100 percent between 2020 and 2023. Currently, most of the Argentinian public considers inflation and low wages to be the biggest challenges facing the country. Consumer responses to price increases Globally, consumers are coping with price increases in many ways. In a May 2023 survey, 68 percent respondents from over 14 countries indicated they were more conscious about prices than previously. In another survey from earlier that year, over 40 percent of respondents indicated they were most concerned about inflation and had changed their consumption habits as a result.