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.

Consumer Price Index CPI in the United States increased to 321.47 points in May from 320.80 points in April 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.

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

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.

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 May 2025 about urban, food, consumer, CPI, housing, inflation, price index, indexes, price, and USA.

The inflation rate for the CPIH index in 2019 was *** percent, a slight decrease when compared with the previous year, but still relatively high when compared with the low inflation rate of *** percent recorded in 2015.

Consumer Price Index: Weights data was reported at 100.000 % in Dec 2024. This stayed constant from the previous number of 100.000 % for Nov 2024. Consumer Price Index: Weights data is updated monthly, averaging 100.000 % from Jan 2009 (Median) to Dec 2024, with 192 observations. The data reached an all-time high of 100.000 % in Dec 2024 and a record low of 100.000 % in Dec 2024. Consumer Price Index: Weights data remains active status in CEIC and is reported by Trade Policy and Strategy Office. The data is categorized under Global Database’s Thailand – Table TH.I015: Consumer Price Index: 2019=100: Weights.

Detailed monthly consumer price index published according to the COICOP classification divisions and groups. Base: April 2019 (=100)

Consumer Price Index CPI in Germany increased to 121.80 points in May from 121.70 points in April of 2025. This dataset provides the latest reported value for - Germany Consumer Price Index (CPI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_09f3ea075cdf660f722df3f743b1d796/view

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

Consumer price index (2010 = 100) in Argentina was reported at 233 in 2019, according to the World Bank collection of development indicators, compiled from officially recognized sources. Argentina - Consumer price index (2010 = 100) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

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 Inflation, consumer prices for the United States (FPCPITOTLZGUSA) from 1960 to 2024 about consumer, CPI, inflation, price index, indexes, price, and USA.

FRBOP Forecast: Core CPI Inflation: sa: Mean: Plus 1 Qtr data was reported at 2.226 % in Mar 2019. This records a decrease from the previous number of 2.327 % for Dec 2018. FRBOP Forecast: Core CPI Inflation: sa: Mean: Plus 1 Qtr data is updated quarterly, averaging 1.951 % from Mar 2007 (Median) to Mar 2019, with 49 observations. The data reached an all-time high of 2.365 % in Jun 2018 and a record low of 1.127 % in Mar 2009. FRBOP Forecast: Core CPI Inflation: sa: Mean: Plus 1 Qtr data remains active status in CEIC and is reported by Federal Reserve Bank of Philadelphia. The data is categorized under Global Database’s United States – Table US.I008: Consumer Price Index: Urban: sa: Forecast: Federal Reserve Bank of Philadelphia.

Consumer Price Index CPI in European Union decreased to 133.23 points in May from 133.24 points in April of 2025. This dataset provides - European Union Consumer Price Index (CPI) - actual values, historical data, forecast, chart, statistics, economic calendar.

Consumer Price Index CPI in India increased to 193 points in May from 192.60 points in April 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.

This table presents the Consumer price index (CPI) with reference year 1900 = 100. This index series is an estimation and has been constructed by multiplying the year-on-year mutations of several index series from different reference periods with the overlapping index from the previous reference period. The index shows the price change of the goods and services purchased by an average Dutch household in one year. Annual rate of change is measured as the year on-year change of the CPI, expressed as a percentage. The annual rate of change in this series may differ from the officially published annual rate of change as a result of rounding differences.

Data available from: 1900

Status of the figures: The yearly figures are provisional when first published. Definitive figures are provided in the second version. Disparities between provisional and definitive figures must be attributed to new or updated source material that has become available.

Changes compared with previous version: Data on the most recent period have been added and/or adjustments have been implemented.

When will new figures be published? New figures are available at the beginning of the year.

As of May 2025, Japan's Consumer Price Index (CPI) of commodities stood at ***** index points, increasing from ***** in the previous month. During the measured period, the lowest price level was recorded in April 2021, with a CPI of ****.