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

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

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.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Dairy and Related Products in U.S. City Average (CUSR0000SEFJ) from Jan 1989 to Aug 2025 about dairy, urban, production, consumer, CPI, inflation, price index, indexes, price, and USA.

Graph and download economic data for Median Consumer Price Index (MEDCPIM157SFRBCLE) from Jan 1983 to Aug 2025 about median, CPI, rate, price index, indexes, price, and USA.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Educational Books and Supplies in U.S. City Average (CUSR0000SEEA) from Jan 1967 to Aug 2025 about supplies, education, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

Explore the Wholesale Price Index dataset featuring manufacturing, mining and quarrying, agriculture, forestry and fishing data for Kuwait. Get insights on Index Number, % M/M Change, Food, Electricity, Energy, and more.

Manufacturing, Mining and quarrying, Agriculture, forestry and fishing, Index Number, % M/M Change, Food, TOTAL LESS FOOD, % Y/Y Change, ALL ITEMS, TOTAL LESS ENERGY, Electricity, gas, steam and water, Energy, TOTAL LESS ENERGY AND FOOD, Index, Period Change

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View monthly updates and historical trends for US Producer Price Index: Warehousing, Storage, and Related Services. from United States. Source: Bureau of …

Consumer Price Index: YoY: Non Seasonally Adjusted data was reported at 0.598 % in 2025. This records a decrease from the previous number of 1.997 % for 2024. Consumer Price Index: YoY: Non Seasonally Adjusted data is updated yearly, averaging 1.743 % from Dec 1987 (Median) to 2025, with 39 observations. The data reached an all-time high of 5.220 % in 2022 and a record low of 0.039 % in 2015. Consumer Price Index: YoY: Non Seasonally Adjusted data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s France – Table FR.World Bank.GEM: Consumer Price Index: Annual. The consumer price index reflects the change in prices for the average consumer of a constant basket of consumer goods. Data is in nominal percentage terms, measured on a year-on-year basis, and seasonally adjusted.

CPI U: FB: AB: At Home data was reported at 202.176 1982-1984=100 in Jun 2018. This records an increase from the previous number of 201.669 1982-1984=100 for May 2018. CPI U: FB: AB: At Home data is updated monthly, averaging 150.200 1982-1984=100 from Dec 1977 (Median) to Jun 2018, with 487 observations. The data reached an all-time high of 202.683 1982-1984=100 in Apr 2018 and a record low of 71.900 1982-1984=100 in Dec 1977. CPI U: FB: AB: At Home data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.I002: Consumer Price Index: Urban.

The consumer price index (CPI) is the instrument used to measure inflation. It is used to estimate the average variation in prices of products consumed by households between two given periods.This graph depicts the Consumer Price Index (CPI) of food and drink services in France between May 2020 and August 2025. In August 2025, the CPI reached ******.

Consumer Price Index (CPI) in Euro area, August, 2025 The most recent value is 129.31 index points as of August 2025, an increase compared to the previous value of 129.12 index points. Historically, the average for Euro area from January 1996 to August 2025 is 94.1885 index points. The minimum of 70.97 index points was recorded in January 1996, while the maximum of 129.31 index points was reached in August 2025. | TheGlobalEconomy.com

CPI W: sa: EC: Education data was reported at 254.447 Dec1997=100 in Jun 2018. This records an increase from the previous number of 253.833 Dec1997=100 for May 2018. CPI W: sa: EC: Education data is updated monthly, averaging 153.100 Dec1997=100 from Jan 1993 (Median) to Jun 2018, with 306 observations. The data reached an all-time high of 254.447 Dec1997=100 in Jun 2018 and a record low of 76.200 Dec1997=100 in Jan 1993. CPI W: sa: EC: Education data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.I013: Consumer Price Index: Urban Wage and Clerical Workers: sa.

CPI W: sa: GS: Miscellaneous Services: Financial Services data was reported at 478.314 Dec1986=100 in Apr 2025. This records an increase from the previous number of 471.521 Dec1986=100 for Mar 2025. CPI W: sa: GS: Miscellaneous Services: Financial Services data is updated monthly, averaging 297.129 Dec1986=100 from Jan 1999 (Median) to Apr 2025, with 316 observations. The data reached an all-time high of 478.314 Dec1986=100 in Apr 2025 and a record low of 201.900 Dec1986=100 in Jan 1999. CPI W: sa: GS: Miscellaneous Services: Financial Services data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.I019: Consumer Price Index: Urban: Wage and Clerical Workers: Seasonally Adjusted.

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

CPI: Prev Mth=100: Goods: EG: OG: Recreation and Education: Books data was reported at 101.100 Prev Mth=100 in Jun 2018. This records an increase from the previous number of 99.700 Prev Mth=100 for May 2018. CPI: Prev Mth=100: Goods: EG: OG: Recreation and Education: Books data is updated monthly, averaging 100.150 Prev Mth=100 from Jul 2002 (Median) to Jun 2018, with 192 observations. The data reached an all-time high of 103.300 Prev Mth=100 in Dec 2003 and a record low of 97.300 Prev Mth=100 in May 2003. CPI: Prev Mth=100: Goods: EG: OG: Recreation and Education: Books data remains active status in CEIC and is reported by Hungarian Central Statistical Office. The data is categorized under Global Database’s Hungary – Table HU.I004: Consumer Price Index: Previous Month=100.

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

Consumer Price Index CPI in France increased to 122.13 points in August from 121.62 points in July of 2025. This dataset provides - France Consumer Price Index (CPI) - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Consumer price index (2010 = 100) in Mexico was reported at 184 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Mexico - Consumer price index (2010 = 100) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

In August 2024, the global consumer price index, excluding the United States, stood at *****, compared to ***** 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 *** 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, ** percent respondents from over 14 countries indicated they were more conscious about prices than previously. In another survey from earlier that year, over ** percent of respondents indicated they were most concerned about inflation and had changed their consumption habits as a result.