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.

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.

CPI: Prev Month=100: Non Food: TV and Radio Merchandise data was reported at 100.250 Prev Mth=100 in Dec 2018. This records an increase from the previous number of 99.970 Prev Mth=100 for Nov 2018. CPI: Prev Month=100: Non Food: TV and Radio Merchandise data is updated monthly, averaging 100.110 Prev Mth=100 from Jan 1995 (Median) to Dec 2018, with 288 observations. The data reached an all-time high of 191.240 Prev Mth=100 in Sep 1998 and a record low of 99.230 Prev Mth=100 in May 2015. CPI: Prev Month=100: Non Food: TV and Radio Merchandise data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Global Database’s Russian Federation – Table RU.IA008: Consumer Price Index: Previous Month=100: Summary.

CPI: Prev Month=100: Non Food: Tobacco Articles data was reported at 100.700 Prev Mth=100 in Dec 2018. This records an increase from the previous number of 100.660 Prev Mth=100 for Nov 2018. CPI: Prev Month=100: Non Food: Tobacco Articles data is updated monthly, averaging 100.830 Prev Mth=100 from Jan 1995 (Median) to Dec 2018, with 288 observations. The data reached an all-time high of 252.540 Prev Mth=100 in Sep 1998 and a record low of 92.410 Prev Mth=100 in Oct 1998. CPI: Prev Month=100: Non Food: Tobacco Articles data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Global Database’s Russian Federation – Table RU.IA008: Consumer Price Index: Previous Month=100: Summary.

Consumer Price Index - CPI, All Urban Consumers (Current Series).

Summaries (item_code SA0, SAF, SAH, SAA, SAT, SAM, SAR, SAE, SAG, SAS, SAC).

Info: https://download.bls.gov/pub/time.series/cu/cu.txt

Data source: U.S. Bureau of Labor Statistics (https://www.bls.gov/)

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. 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 and estimations of non-available items' prices: Under each category, a number of common items are used in Palestine to calculate the price levels and to represent the commodity within the commodity group. Of course, it is

CPI: Same Mth PY=100: Services: HU: Utilities Services: Cold Water Supply and Canalization data was reported at 105.290 Same Mth PY=100 in Dec 2018. This stayed constant from the previous number of 105.290 Same Mth PY=100 for Nov 2018. CPI: Same Mth PY=100: Services: HU: Utilities Services: Cold Water Supply and Canalization data is updated monthly, averaging 118.020 Same Mth PY=100 from Jan 1995 (Median) to Dec 2018, with 288 observations. The data reached an all-time high of 2,427.120 Same Mth PY=100 in Jan 1995 and a record low of 99.850 Same Mth PY=100 in May 2012. CPI: Same Mth PY=100: Services: HU: Utilities Services: Cold Water Supply and Canalization data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Global Database’s Russian Federation – Table RU.IA013: Consumer Price Index: Same Month Previous Year=100: Summary.

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

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

This dataset provides comprehensive historical consumer price index (CPI) data for more than 60 countries, spanning monthly and annual time series. The CPI measures the overall change in the prices of goods and services purchased by households, making it a key macroeconomic indicator for assessing inflation and purchasing power over time. The dataset includes long series that extend back to the mid-19th century for some countries, with an average length of over 60 years for monthly series. The data is widely used as a deflator for other economic series, such as real effective exchange rates and real residential property prices.

Key Features

• Global Coverage: CPI data for over 60 countries.
• Long Time Series: Annual series dating back to the mid-19th century and monthly series averaging over 60 years in length.
• Deflation Tool: Commonly used as a deflator for other economic indicators.
• Inflation Measurement: Essential for tracking inflation and assessing purchasing power.
• Historical Context: Provides insights into economic trends over extended periods.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Food in U.S. City Average (CPIUFDSL) from Jan 1947 to Sep 2025 about urban, food, consumer, CPI, inflation, price index, indexes, price, and USA.

CPI: Same Mth PY=100: Services: International Tourism data was reported at 109.780 Same Mth PY=100 in Dec 2018. This records an increase from the previous number of 109.510 Same Mth PY=100 for Nov 2018. CPI: Same Mth PY=100: Services: International Tourism data is updated monthly, averaging 105.710 Same Mth PY=100 from Jan 2003 (Median) to Dec 2018, with 192 observations. The data reached an all-time high of 149.070 Same Mth PY=100 in Jan 2015 and a record low of 92.270 Same Mth PY=100 in Mar 2010. CPI: Same Mth PY=100: Services: International Tourism data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Global Database’s Russian Federation – Table RU.IA013: Consumer Price Index: Same Month Previous Year=100: Summary.

The Consumer Price Index (CPI) is a statistical measure of change, over time, of the prices of goods and services in major expenditure groups--such as food, housing, apparel, transportation, and medical care--typically purchased by urban consumers. Essentially, it compares the cost of a sample "market basket" of goods and services in a specific month relative to the cost of the same "market basket" in an earlier reference period. This reference period is designated as the base period.

The CPI publishes indexes for two populations; all urban consumers (CU) and urban wage earners and clerical workers (CW).

To construct the two indexes, thousands of prices for commodities and services purchased by consumers are collected in a sample of 75 urban places. Rent data is collected in a separate sample of thousands of rental units. Comparison of indexes for individual CMSA's or cities show only the relative change over time in prices between locations. These indexes cannot be used to measure interarea differences in price levels or living costs.

Summary Data Available: U.S. average indexes for both populations are available for several hundred consumer items and groups of items. In addition, many of the indexes have been adjusted for seasonality. The indexes are monthly. Different indexes go back to different years, with the earliest, including all items, dating to 1913. Semi-annual indexes have been calculated for many items for comparison with semi-annual areas mentioned below. Semi-annual indexes are available from 1984 forward.

Area indexes for both populations are available for 23 urban places. For each area, indexes are published for a subset of items and groups. The indexes are published monthly for three areas and bimonthly for twenty areas. Regional and division level indexes for both populations are available for a subset of items and groups published. Indexes are published for four regions and nine divisions. Regional indexes date to 1966; divisional indexes are newer, dating to 2018. Indexes are monthly, with Semi-annual indexes also calculated for selected items.

City-size class indexes for both populations are available for two size classes with a similar subset of groups and items. Region/city-size indexes (for example, Midwest size class B/C)for both populations are also available monthly.

Frequency of Observations: U.S. city average indexes, regional indexes, division indexes, size class indexes, and three metro area indexes are monthly. 20 metro area indexes are bimonthly.

Annual Averages: Annual averages are available for all unadjusted series in the CW and CU.

Base Periods: Most indexes have a base period of 1982-1984 = 100. Other indexes, mainly newer indexes, are based more recently. The base period value is generally 100.0, with rare exceptions where the base is set to 1000 to avoid loss of precision. The index for the "Purchasing Power" values (AAOR and SAOR) have a base period value of 1.000.

Data Characteristics: Indexes are published to three decimal places.

Updating Schedule: Updates become available with the release of new data, typically between the 10th and 14th of the month following the reference month.

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

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

This data table contains Consumer Price Index (CPI) monthly summary statistics for food categories in Manitoba and other provincial jurisdictions in Canada, from 2002 to present. This data table contains Consumer Price Index (CPI) monthly summary statistics for food categories in Manitoba and other provincial jurisdictions in Canada, from 2002 to present. These data are displayed in the Manitoba Food Consumer Price Index Dashboard. The source of the information is the Statistics Canada Table 18-10-0004-01 Consumer Price Index, monthly, not seasonally adjusted. Data are updated monthly by Manitoba Agriculture from Statistics Canada sources. Fields included [Alias (Field Name): Field description] PROV_INDEX (PROV_INDEX): Index column for ordering data displayed in dashboard REF_DATE (REF_DATE): CPI reference date in yyyy-mm-dd format GEO (GEO): Province or territory name; also includes Canada as a whole YEAR (YEAR): Reference date year value MONTH (MONTH): Reference date numeric month value CPI (CPI): Consumer Price Index value PRODUCT (PRODUCT): CPI product group; food categories include: meat; fish, seafood and other marine products; dairy products; eggs; bakery and cereal products; fruit, fruit preparations and nuts; vegetables and vegetable preparations; other food products and non-alcoholic beverages; all foods PERCENT_CHANGE (PERCENT_CHANGE): Percentage change in CPI from the previous year of the same month

This dashboard contains the most up-to-date monthly Consumer Price Index (CPI) information for food categories in Manitoba and other provincial jurisdictions in Canada.

This dashboard contains the most up-to-date monthly Consumer Price Index (CPI) information for food categories in Manitoba and other provincial jurisdictions in Canada. Data is shown with respect to the previous year, as well as year-to-date. This dashboard contains two tabs. One tab contains a table with the CPI variation for Manitoba from the previous year as well as year-to-date. The other tab contains the CPI variation for all food categories for each province and territory, as well as the average for Canada. CPI information is shown in the table for each of the following food categories: Meat Fish, seafood and other marine products Dairy products Eggs Bakery and cereal products Fruit, fruit preparations and nuts Vegetables and vegetable preparations Other food products and non-alcoholic beverages All Foods The data table used for this dashboard is the Consumer Price Index Monthly Summary table. The source of the information is the Statistics Canada Table 18-10-0004-01 Consumer Price Index, monthly, not seasonally adjusted. Data are updated monthly by Manitoba Agriculture from Statistics Canada sources.

CPI: Same Period PY=100: ytd: Services: HU: Utilities Services: Cold Water Supply and Canalization data was reported at 105.550 Same Period PY=100 in Dec 2018. This records a decrease from the previous number of 105.570 Same Period PY=100 for Nov 2018. CPI: Same Period PY=100: ytd: Services: HU: Utilities Services: Cold Water Supply and Canalization data is updated monthly, averaging 115.650 Same Period PY=100 from Jan 2002 (Median) to Dec 2018, with 204 observations. The data reached an all-time high of 168.920 Same Period PY=100 in Jan 2002 and a record low of 100.300 Same Period PY=100 in Jun 2012. CPI: Same Period PY=100: ytd: Services: HU: Utilities Services: Cold Water Supply and Canalization data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Global Database’s Russian Federation – Table RU.IA023: Consumer Price Index: Same Period Previous Year=100: ytd: Summary.

Description:

Consumer Price Indices (CPI) measure changes over time in the 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 increases in prices. CPI is therefore considered one of the most important economic indicators. For the construction of CPI numbers, two requisite components are weighting diagrams (consumption patterns) and price data collected at regular intervals. The Central Statistics Office (CSO), Ministry of Statistics and Programme Implementation releases Consumer Price Indices (CPI) on base 2010=100 for all-India and States/UTs separately for rural, urban and combined every month with effect from January 2011.

The data is published by Central Statistical Office and released on the 12th of every month.

Data Source: https://data.gov.in/catalog/state-level-consumer-price-index-ruralurban