The statistic shows that in two years inflation rose from *** percent on December 2020, to its peak of **** percent on November 2022. In April 2025, the CPI was *** percent, *** percent less than in the previous year.

Consumer Price Index CPI in the United States increased to 323.05 points in July from 322.56 points in June 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 2020 the Consumer Price Index (CPI) rate of the United Kingdom is expected to be between *** percent and *** percent, according to forecasts from three different institutions, the Office for Budget Responsibility, the International Monetary Fund, and the The National Institute of Economic and Social Research. CPI measures the rate of change to market basket price levels of consumer goods and services purchased by households.

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.

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

Key information about Austria Consumer Price Index CPI growth

• Austria Consumer Price Index (CPI) growth was measured at 3.2 % YoY in Feb 2025, compared with a rate of 3.2 % in the previous month.
• Austria Consumer Price Index growth data is updated monthly, available from Jan 1949 to Feb 2025, with an averaged number of 2.9 % YoY.
• The data reached an all-time high of 43.8 % YoY in Aug 1951 and a record low of -9.4 % YoY in Jun 1953.

CEIC calculates Consumer Price Index Growth from monthly Consumer Price Index. Statistics Austria provides Consumer Price Index with base 2020=100. [COVID-19-IMPACT]

Key information about Greece Consumer Price Index CPI growth

• Greece Consumer Price Index (CPI) growth was measured at 2.5 % YoY in Feb 2025, compared with a rate of 2.7 % in the previous month.
• Greece Consumer Price Index growth data is updated monthly, available from Jan 1956 to Feb 2025, with an averaged number of 3.7 % 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.

Austria Consumer Price Index (CPI) data was reported at 127.600 2020=100 in Apr 2025. This records an increase from the previous number of 127.300 2020=100 for Mar 2025. Austria Consumer Price Index (CPI) data is updated monthly, averaging 50.300 2020=100 from Jan 1948 (Median) to Apr 2025, with 928 observations. The data reached an all-time high of 127.600 2020=100 in Apr 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.I005: Consumer Price Index: 2020=100.

Key information about Japan Consumer Price Index CPI growth

• Japan Consumer Price Index (CPI) growth was measured at 3.6 % YoY in Feb 2025, compared with a rate of 4.0 % in the previous month.
• Japan Consumer Price Index growth data is updated monthly, available from Jan 1996 to Feb 2025, with an averaged number of 0.2 % YoY.
• The data reached an all-time high of 4.3 % YoY in Jan 2023 and a record low of -2.5 % YoY in Oct 2009.

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]

Switzerland Consumer Price Index (CPI) data was reported at 107.472 Dec2020=100 in Apr 2025. This records an increase from the previous number of 107.464 Dec2020=100 for Mar 2025. Switzerland Consumer Price Index (CPI) data is updated monthly, averaging 95.629 Dec2020=100 from Dec 1982 (Median) to Apr 2025, with 509 observations. The data reached an all-time high of 107.732 Dec2020=100 in Jun 2024 and a record low of 63.167 Dec2020=100 in Jan 1983. Switzerland Consumer Price Index (CPI) data remains active status in CEIC and is reported by Swiss Federal Statistical Office. The data is categorized under Global Database’s Switzerland – Table CH.I004: Consumer Price Index: December 2020=100. [COVID-19-IMPACT]

Japan Consumer Price Index (CPI): Tokyo (TKY) data was reported at 110.700 2020=100 in Apr 2025. This records an increase from the previous number of 110.200 2020=100 for Mar 2025. Japan Consumer Price Index (CPI): Tokyo (TKY) data is updated monthly, averaging 97.100 2020=100 from Jan 1970 (Median) to Apr 2025, with 664 observations. The data reached an all-time high of 110.700 2020=100 in Apr 2025 and a record low of 30.800 2020=100 in Jan 1970. Japan Consumer Price Index (CPI): Tokyo (TKY) data remains active status in CEIC and is reported by Statistical Bureau. The data is categorized under Global Database’s Japan – Table JP.I020: Consumer Price Index: Tokyo: 2020=100.

In August 2024, the consumer price index for personal expenses in Brazil increased by 0.73 percent compared to the previous month. Since the start of the observation period, February 2023 was the month with the highest monthly variation, at 6.28 percent.

Japan Consumer Price Index (CPI): Diffusion index data was reported at 66.284 2020=100 in Mar 2025. This records an increase from the previous number of 63.027 2020=100 for Feb 2025. Japan Consumer Price Index (CPI): Diffusion index data is updated monthly, averaging 56.897 2020=100 from Jan 2021 (Median) to Mar 2025, with 51 observations. The data reached an all-time high of 79.693 2020=100 in Sep 2023 and a record low of 2.107 2020=100 in Jan 2021. Japan Consumer Price Index (CPI): Diffusion index data remains active status in CEIC and is reported by Bank of Japan. The data is categorized under Global Database’s Japan – Table JP.I004: Consumer Price Index: 2020=100: Core Inflation.

The dataset contains Year and State wise State-wise Average Inflation (CPI) - General, Food and Beverages, Fuel and Light and Housing (Urban)

Note: General: 1. Data for Arunachal Pradesh is not available. 2. For calculating State-wise Consumer Price Index (CPI) inflation in 2020-21 the average CPI Index for ten months has been taken due to unavailability of CPI data for the months of April and May 2020. 3. Figures for Jammu & Kashmir from October 2019 pertain to combined Union Territories of Jammu & Kashmir and Ladakh (erstwhile State of Jammu & Kashmir)

Food and Beverages: 1. Data for Arunachal Pradesh is not available. 2. For 2019-20, annual inflation for all states is calculated using data from April-2019 to February-2020, and for All-India, it is calculated using April-2019 to March-2020 data. 3. For calculating State-wise CPI inflation in 2020-21 the average CPI for eight months has been taken due to unavailability of CPI data for the period April-July 2020. 4. Figures for Jammu & Kashmir from October 2019 pertain to combined Union Territories of Jammu & Kashmir and Ladakh(erstwhile State of Jammu & Kashmir)

Fuel and Light: 1. Data for Arunachal Pradesh is not available. 2. For 2019-20, annual inflation for all states is calculated using data from April-2019 to February-2020, and for All-India, it is calculated using April-2019 to March-2020 data. 3. For calculating State-wise CPI inflation in 2020-21 the average CPI for eight months has been taken due to unavailability of CPI data for the period April-July 2020. 4. Figures for Jammu & Kashmir from October 2019 pertain to combined Union Territories of Jammu & Kashmir and Ladakh (erstwhile State of Jammu & Kashmir)

Housing (Urban): 1. Data for Arunachal Pradesh is not available. 2. For 2019-20, annual inflation for all states is calculated using data from April-2019 to February-2020, and for All-India, it is calculated using April-2019 to March-2020 data. 3. For calculating State-wise CPI inflation in 2020-21 the average CPI for eight months has been taken due to unavailability of CPI data for the period April-July 2020. 4. Figures for Jammu & Kashmir from October 2019 pertain to combined Union Territories of Jammu & Kashmir and Ladakh (erstwhile State of Jammu & Kashmir)

Inflation Rate in the United States remained unchanged at 2.70 percent in July. This dataset provides - United States Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Israel IL: Consumer Price Index (CPI): Local Source Base Year: Transport data was reported at 114.000 2020=100 in Dec 2022. This records a decrease from the previous number of 114.600 2020=100 for Sep 2022. Israel IL: Consumer Price Index (CPI): Local Source Base Year: Transport data is updated quarterly, averaging 93.883 2020=100 from Mar 1985 (Median) to Dec 2022, with 152 observations. The data reached an all-time high of 114.600 2020=100 in Sep 2022 and a record low of 6.700 2020=100 in Mar 1985. Israel IL: 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 Israel – Table IL.OECD.MEI: Consumer Price Index: COICOP 1999: OECD Member: Quarterly. The CPI measures the change in prices which consumer pay for fixed market basket of consumption goods and services. Price coverage: Prices include applicable taxes (VAT) and fees on the products at the time of sale. Cash payments are the basis for the price survey. Monthly installment payment and credit card interest are excluded. Price collection procedure: The data collection methods are adapted according to the specific characteristics of the CPI classes. The main price surveys are: Computer Assisted Telephone Interviews (CATI), conducted by the CBS staff at the central office; Computer Assisted Personal Interviews (CAPI) by field collectors with handheld personal computers (HPC) and Direct Data Entry (DDE) into the database. Also for some special items Internet is used either in parallel with CAPI or as a part of DDE collection. The CPI includes a measure of rented housing Owner Occupied Housing (OOH) is included in the CPI and is calculated using rental equivalent method. The method for imputation of OOH is based on stratified average prices of contracts that are subject to renewal. In order to reduce variance in the monthly series, two month moving averages are compared each month. However, the method for OOH still leaves room for quality differences to play role in month-to-month average price changes. The method relies on successful stratification of apartments to groups whose relative price changes are as similar as possible. While the stratification is based on apartment location and number of rooms, some quality characteristics may experience month-to-month variation. Treatment of own account production is not included Goods and services sold illegally, second hand goods, goods and services partially or totally subsidized by the government and financial transactions are not included. Insurance: Insurance of personal transport and Health insurance (private and provided by the Government) are included. Treatment of missing items: Price changes for missing observations are imputed based on the price movements of other observations of the same item. Selection of replacement items: Products that become permantely unavailable are replaced in the sample and enumerators select a replacement possessing as many of the same quality characteristics as possible. Prices from previous period are sought for the replacement item for linking purpose. Treatment of quality change: There are two types of replacement approach: comparable and non-comparable. If a new product possesses the previously defined important characteristics of the old product, the new product is defined as comparable and a minor quality change is regarded as price change. Otherwise, if a significant quality change is introduced, the new product is defined as not comparable. The breakage in price series is treated by the linking method. Explicit quality adjustments are usually not performed. Hedonic methods are being considered but not yet implemented. In some cases, where the product cycle is short and new versions with improved quality characteristics are frequently introduced, the overlap method may give biased estimates. Introduction of new products: New items are introduced when the market basket is updated. New products are introduced into the sample as they gain significant market share. Business and professional periodicles are closely followed to gain information on new products that are gaining consumer demand. Seasonal items: Missing prices for seasonal products are imputed. Certain procedures are in place to avoid too early reintroduction of seasonal products back to the index. For price changes a bridge method is used when the items are reintroduced to the collection. Index series are also calculated and released in seasonally adjusted form.; Index series starts in November 1985

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

By June 2023, the Consumer Price Index had reached ***** in Canada. This represented an increase of ** points compared to June 2020. The Consumer Price Index (CPI) is an instrument for measuring inflation. It estimates the average change in the prices of products consumed by households between two given periods and is based on the observation of a fixed basket of goods and services. In 2022, the average inflation rate in Canada was approximately *** percent compared to the previous year.

Austria Consumer Price Index (CPI): FB: Food data was reported at 128.500 2020=100 in Mar 2025. This records an increase from the previous number of 128.300 2020=100 for Feb 2025. Austria Consumer Price Index (CPI): FB: Food data is updated monthly, averaging 114.000 2020=100 from Jan 2020 (Median) to Mar 2025, with 63 observations. The data reached an all-time high of 128.500 2020=100 in Mar 2025 and a record low of 97.400 2020=100 in Jan 2021. Austria Consumer Price Index (CPI): FB: Food 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.

CPI: Transport: Services: Others data was reported at 89.600 2020=100 in Mar 2025. This records a decrease from the previous number of 93.400 2020=100 for Feb 2025. CPI: Transport: Services: Others data is updated monthly, averaging 100.000 2020=100 from Jan 2020 (Median) to Mar 2025, with 63 observations. The data reached an all-time high of 100.000 2020=100 in Dec 2023 and a record low of 89.600 2020=100 in Mar 2025. CPI: Transport: Services: Others 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.