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

Data in table tells us about the year-wise Consumer price index number for industrial workers. Parameters used to classify data in the table are: Clothing,bedding,footwear, Food and General. The specific weightage of these parameters is also calculated as percentage of whole. Data is gathered from 2007-2016 for Indian States and UTs and also for All India.

Note: The total of the respective weights may not tally as the original weight are calculated to six places of decimals whereas the weights given here are rounded to two places of decimals.

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

Iran Consumer Price Index (CPI): Urban: Food and Non-Alcoholic Beverages (FB) data was reported at 220.400 Apr2016-Mar2017=100 in Jul 2019. This records an increase from the previous number of 216.900 Apr2016-Mar2017=100 for Jun 2019. Iran Consumer Price Index (CPI): Urban: Food and Non-Alcoholic Beverages (FB) data is updated monthly, averaging 166.900 Apr2016-Mar2017=100 from Mar 2018 (Median) to Jul 2019, with 17 observations. The data reached an all-time high of 220.400 Apr2016-Mar2017=100 in Jul 2019 and a record low of 115.800 Apr2016-Mar2017=100 in Mar 2018. Iran Consumer Price Index (CPI): Urban: Food and Non-Alcoholic Beverages (FB) data remains active status in CEIC and is reported by Statistical Centre of Iran. The data is categorized under Global Database’s Iran – Table IR.I002: Consumer Price Index: April 16-March 17=100: Statistical Centre of Iran: Urban.

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.

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

Consumer Price Index (CPI): Maharashtra: Food and Beverages data was reported at 196.100 2012=100 in Mar 2025. This records a decrease from the previous number of 197.100 2012=100 for Feb 2025. Consumer Price Index (CPI): Maharashtra: Food and Beverages data is updated monthly, averaging 137.800 2012=100 from Jan 2011 (Median) to Mar 2025, with 166 observations. The data reached an all-time high of 208.200 2012=100 in Nov 2024 and a record low of 89.000 2012=100 in Mar 2011. Consumer Price Index (CPI): Maharashtra: Food and Beverages data remains active status in CEIC and is reported by Ministry of Statistics and Programme Implementation. The data is categorized under India Premium Database’s Inflation – Table IN.IB063: Consumer Price Index: 2012=100: by State: Maharashtra.

United States Consumer Price Index (CPI): Urban: 1967=100 data was reported at 757.532 1967=100 in Oct 2018. This records an increase from the previous number of 756.194 1967=100 for Sep 2018. United States Consumer Price Index (CPI): Urban: 1967=100 data is updated monthly, averaging 95.250 1967=100 from Jan 1913 (Median) to Oct 2018, with 1270 observations. The data reached an all-time high of 757.532 1967=100 in Oct 2018 and a record low of 29.200 1967=100 in May 1913. United States Consumer Price Index (CPI): Urban: 1967=100 data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.I002: Consumer Price Index: Urban.

Consumer Price Index CPI in Turkey increased to 3367.22 points in September from 3261.72 points in August of 2025. This dataset provides the latest reported value for - Turkey Consumer Price Index (CPI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Median Consumer Price Index is a part of the Median CPI indicator of the Federal Reserve Bank of Cleveland.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Services Less Energy Services in U.S. City Average (CUSR0000SASLE) from Jan 1967 to Aug 2025 about energy, urban, consumer, CPI, services, inflation, price index, indexes, price, and USA.

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.

In November 2024, the seasonally adjusted consumer price index for all urban consumers (CPI-U) in the United States increased *** percent from the previous month. The data represents city averages in the United States. The defined base period is: 1982-84=100. The CPI is defined by the United States Bureau of Labor Statistics 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”.

Graph and download economic data for Chained Consumer Price Index for All Urban Consumers: All Items in U.S. City Average (SUUR0000SA0) from Dec 1999 to Aug 2025 about chained, all items, 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

Kuwait Follow data.kapsarc.org for timely data to advance energy economics research..

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.

The table shows the Consumer Price Index including the most recent value and the percent changes since three months ago and one year ago. Essentially, the last column shows the cumulative change in the CPI from the same month last year. The CPI is the most widely reported measure of price changes across countries. It tracks the price of the consumption basket of an average urban household.

Key information about Mexico Consumer Price Index CPI growth

• Mexico Consumer Price Index (CPI) growth was measured at 3.8 % YoY in Feb 2025, compared with a rate of 3.6 % in the previous month.
• Mexico Consumer Price Index growth data is updated monthly, available from Jan 1958 to Feb 2025, with an averaged number of 5.9 % YoY.
• The data reached an all-time high of 179.7 % YoY in Feb 1988 and a record low of -2.2 % YoY in Sep 1961.

CEIC calculates Consumer Price Index Growth from monthly Consumer Price Index. The National Institute of Statistics and Geography provides Consumer Price Index with base 16Jul2018-31Jul2018=100. Consumer Price Index Growth prior to January 1970 is sourced from the International Monetary Fund. [COVID-19-IMPACT]

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.

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.