100+ datasets found
  1. U.S. projected Consumer Price Index 2010-2029

    • statista.com
    Updated Aug 21, 2024
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    Statista (2024). U.S. projected Consumer Price Index 2010-2029 [Dataset]. https://www.statista.com/statistics/244993/projected-consumer-price-index-in-the-united-states/
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    Dataset updated
    Aug 21, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    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.

  2. Israel IL: CPI: Local Source Base Year: Clothing and Footwear

    • ceicdata.com
    Updated Sep 8, 2021
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    CEICdata.com (2021). Israel IL: CPI: Local Source Base Year: Clothing and Footwear [Dataset]. https://www.ceicdata.com/en/israel/consumer-price-index-oecd-member-annual/il-cpi-local-source-base-year-clothing-and-footwear
    Explore at:
    Dataset updated
    Sep 8, 2021
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    Israel
    Variables measured
    Consumer Prices
    Description

    Israel IL: Consumer Price Index (CPI): Local Source Base Year: Clothing and Footwear data was reported at 90.467 2020=100 in 2022. This records a decrease from the previous number of 95.092 2020=100 for 2021. Israel IL: Consumer Price Index (CPI): Local Source Base Year: Clothing and Footwear data is updated yearly, averaging 119.871 2020=100 from Dec 1985 (Median) to 2022, with 38 observations. The data reached an all-time high of 167.358 2020=100 in 1997 and a record low of 53.850 2020=100 in 1985. Israel IL: Consumer Price Index (CPI): Local Source Base Year: Clothing and Footwear 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: Annual. 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

  3. Consumer Price Index - Dataset - Him Data portal

    • ckan.himdataportal.com
    Updated Feb 27, 2024
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    ckan.himdataportal.com (2024). Consumer Price Index - Dataset - Him Data portal [Dataset]. https://ckan.himdataportal.com/dataset/consumer-price-index
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    Dataset updated
    Feb 27, 2024
    Dataset provided by
    CKANhttps://ckan.org/
    Description

    CPI dataset contains information about all India average and state wise monthly price index and inflation rate. The base year for the CPI is 2012 and Information is available for seven sub-group indices including food price inflation, housing and fuel inflation for both rural and urban since January,2013. The datasource is Ministry of Statistics and Program Implementation (MOSPI).

  4. Consumer Price Index (CPI), Additional Indicators, 2019 As Base Year, Annual...

    • data.gov.sg
    Updated Feb 1, 2025
    + more versions
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    Singapore Department of Statistics (2025). Consumer Price Index (CPI), Additional Indicators, 2019 As Base Year, Annual [Dataset]. https://data.gov.sg/datasets/d_c2b91ac2be8d5441bf8007c1a1e599de/view
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    Dataset updated
    Feb 1, 2025
    Dataset authored and provided by
    Singapore Department of Statistics
    License

    https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence

    Time period covered
    Jan 1990 - Dec 2024
    Description

    Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_c2b91ac2be8d5441bf8007c1a1e599de/view

  5. d

    Inflation Rates: Year-, Month- and Item-wise All India Consumer Price Index...

    • dataful.in
    Updated Jul 25, 2025
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    Dataful (Factly) (2025). Inflation Rates: Year-, Month- and Item-wise All India Consumer Price Index (from base year 2012) [Dataset]. https://dataful.in/datasets/18570
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    xlsx, csv, application/x-parquetAvailable download formats
    Dataset updated
    Jul 25, 2025
    Dataset authored and provided by
    Dataful (Factly)
    License

    https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

    Area covered
    India
    Variables measured
    Inflation Rate
    Description

    High Frequency Indicator: The dataset contains year-, month- and item-wise compiled data from the year 2015 to till date on inflation rates of different singular and combined items. These include food items such as rice, chicken, suwai, bajra, meat, vegetables, and others things, clothing items such as dhoti, saree, shawl, shirts, pants, fuels such as petrol, diesel, kerosene, LPG, coal, amenities such as air coolers, air conditioners. washing machines, bathroom and sanitary items, furniture, washing machine, and other items such as medical, motor, transport, telecommunication, electronic and other items

  6. d

    Inflation Rates Master Data: Year- and Month-wise Consumer Price Index of...

    • dataful.in
    Updated Aug 5, 2025
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    Dataful (Factly) (2025). Inflation Rates Master Data: Year- and Month-wise Consumer Price Index of Industrial Workers and Agricultural and Rural Labourers (from base year 1960) [Dataset]. https://dataful.in/datasets/17508
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    csv, xlsx, application/x-parquetAvailable download formats
    Dataset updated
    Aug 5, 2025
    Dataset authored and provided by
    Dataful (Factly)
    License

    https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

    Area covered
    India
    Variables measured
    Consumer Price Index
    Description

    The dataset contains year- and month-wise historically compiled from the year 1960 to till date on the consumer price index, along with linking factor, of industrial workers, agricultural and rural labourers

    Note: Data for the latest two months are provisional.

  7. G

    Consumer Price Index (CPI) for selected countries

    • open.canada.ca
    • www150.statcan.gc.ca
    • +1more
    csv, html, xml
    Updated Jan 17, 2023
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    Statistics Canada (2023). Consumer Price Index (CPI) for selected countries [Dataset]. https://open.canada.ca/data/en/dataset/563bdf8b-f59c-45c1-8b3e-ebcd515bb229
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    csv, html, xmlAvailable download formats
    Dataset updated
    Jan 17, 2023
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    This table contains 30 series, with data for years 1986 - 2012 (not all combinations necessarily have data for all years), and was last released on 2013-01-09. This table contains data described by the following dimensions (Not all combinations are available): Geography (10 items: Canada; United States; France; United Kingdom ...), Consumer Price Index (CPI) (1 items: Consumer Price Index (CPI) ...), Base year (3 items: 1995=100; 2005=100; 2000=100 ...).

  8. U.S. consumer Price Index of all urban consumers 1992-2024

    • statista.com
    Updated Feb 10, 2025
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    Statista (2025). U.S. consumer Price Index of all urban consumers 1992-2024 [Dataset]. https://www.statista.com/statistics/190974/unadjusted-consumer-price-index-of-all-urban-consumers-in-the-us-since-1992/
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    Dataset updated
    Feb 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2024, the consumer price index (CPI) was 315.61. Data represents U.S. city averages. The monthly inflation rate for the United States can be found here. United States urban Consumer Price Index (CPI) The U.S. Consumer Price Index is a measure of change in the price of consumer goods and services purchased by households. 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." To calculate the CPI, the Bureau of Labor Statistics considers the price of goods and services from various categories: housing, transportation, apparel, food & beverage, medical care, recreation, education and other/uncategorized. The CPI is a useful measure, as it indicates how the cost of urban living in the United States has changed over time, compared to a base period. CPI is also used to calculate inflation, or change in the purchasing power of money. According to the U.S. Bureau of Labor Statistics, the U.S. urban CPI has been rising steadily since 1992. As of 2023, the CPI was 304.7, up from 233 ten years earlier and up from 184 twenty years earlier. This indicates the extent to which, compared to a base period 1982-1984 = 100, the price of various goods and services has risen.

  9. Consumer Price Index, annual average, not seasonally adjusted

    • data.wu.ac.at
    • www150.statcan.gc.ca
    • +3more
    csv, html, xml
    Updated Jun 27, 2018
    + more versions
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    Statistics Canada | Statistique Canada (2018). Consumer Price Index, annual average, not seasonally adjusted [Dataset]. https://data.wu.ac.at/schema/www_data_gc_ca/NGJlNWY5MmItODU0Ni00ZTc2LWFkOTgtYmNmOWQ0YjhhZWVk
    Explore at:
    html, xml, csvAvailable download formats
    Dataset updated
    Jun 27, 2018
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    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.

  10. Israel IL: CPI: Local Source Base Year: Transport

    • ceicdata.com
    Updated Sep 8, 2021
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    CEICdata.com (2021). Israel IL: CPI: Local Source Base Year: Transport [Dataset]. https://www.ceicdata.com/en/israel/consumer-price-index-oecd-member-quarterly/il-cpi-local-source-base-year-transport
    Explore at:
    Dataset updated
    Sep 8, 2021
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2020 - Dec 1, 2022
    Area covered
    Israel
    Variables measured
    Consumer Prices
    Description

    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

  11. k

    Consumer Price Index

    • datasource.kapsarc.org
    • data.kapsarc.org
    Updated Sep 26, 2024
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    (2024). Consumer Price Index [Dataset]. https://datasource.kapsarc.org/explore/dataset/consumer-price-index2/
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    Dataset updated
    Sep 26, 2024
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Explore the Consumer Price Index (2010=100) dataset to track inflation trends and analyze price changes over time. Stay informed on China's economic indicators with this valuable CPI data.

    Consumer price index (2010=100), CPI, Price

    ChinaFollow data.kapsarc.org for timely data to advance energy economics research..CPI Base Year 2010=100

  12. g

    Development Economics Data Group - CPI base year | gimi9.com

    • gimi9.com
    Updated Feb 1, 2001
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    (2001). Development Economics Data Group - CPI base year | gimi9.com [Dataset]. https://gimi9.com/dataset/worldbank_wb_spi_d5_2_4_cpiby/
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    Dataset updated
    Feb 1, 2001
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Consumer Price Index serves as indicators of inflation and reflects changes in the cost of acquiring a fixed basket of goods and services by the average consumer.

  13. Israel IL: CPI: Local Source Base Year: Education

    • ceicdata.com
    Updated Sep 8, 2021
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    CEICdata.com (2021). Israel IL: CPI: Local Source Base Year: Education [Dataset]. https://www.ceicdata.com/en/israel/consumer-price-index-oecd-member-quarterly/il-cpi-local-source-base-year-education
    Explore at:
    Dataset updated
    Sep 8, 2021
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2020 - Dec 1, 2022
    Area covered
    Israel
    Variables measured
    Consumer Prices
    Description

    Israel IL: Consumer Price Index (CPI): Local Source Base Year: Education data was reported at 106.367 2020=100 in Dec 2022. This records an increase from the previous number of 105.300 2020=100 for Sep 2022. Israel IL: Consumer Price Index (CPI): Local Source Base Year: Education data is updated quarterly, averaging 77.483 2020=100 from Mar 1985 (Median) to Dec 2022, with 152 observations. The data reached an all-time high of 106.367 2020=100 in Dec 2022 and a record low of 3.167 2020=100 in Mar 1985. Israel IL: Consumer Price Index (CPI): Local Source Base Year: Education 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

  14. U.S. monthly CPI of all urban consumers 2022-2025

    • statista.com
    Updated Mar 11, 2025
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    Statista (2025). U.S. monthly CPI of all urban consumers 2022-2025 [Dataset]. https://www.statista.com/statistics/190981/monthly-unadjusted-consumer-price-index-in-the-us-since-april-2010/
    Explore at:
    Dataset updated
    Mar 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2023 - Jan 2025
    Area covered
    United States
    Description

    In January 2025, the unadjusted consumer price index (CPI) of all items for urban consumers in the United States amounted to about 317.67. The data represents U.S. city averages. The base period was 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”. The annual consumer price index for urban consumers in the U.S. can be accessed here. Consumer Price Index The Consumer Price Index (CPI) began in 1919 under the Bureau of Labor Statistics and is published every month. The CPI for all urban consumers includes urban households in Metropolitan Statistical Areas and regions with over 2,500 inhabitants, as well as non-farm consumers living in rural regions. This index was established in 1978 and includes about 80 percent of the U.S. population. The monthly CPI of urban consumers in the United States increased from 292.3 in May 2022 to 304.13 in 2023. Inflation tends not to impact everyone equally for a variety of reasons, including geography - CPI often differs between regions, with a high of 287.49 in the Western region as of 2021. There are also disparities in inflation between income quartiles, in which inflation is generally felt more heavily by lower income households. The annual CPI in the United States has increased steadily over the past two decades, from 140.3 in 1992 to 292.56 in 2022. A forecast of the CPI expects this positive trend to continue, reaching 325.6 by 2027. As of March 2023, the CPI of the nation’s education had increased by 3.5 percent. Further, in the same month costs of recreation, rent, housing, medical care, and food and beverages, gasoline, and transportation increased. Comparatively, the CPI in Hong Kong reached 103.3 in 2022.

  15. d

    Producer Price Index for Agriculture (Base Year 105)

    • data.gov.tw
    csv, json, xml
    Updated Jul 1, 2025
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    Ministry of Agriculture (2025). Producer Price Index for Agriculture (Base Year 105) [Dataset]. https://data.gov.tw/en/datasets/39552
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    xml, json, csvAvailable download formats
    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    Ministry of Agriculture
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    The provided information includes: year/month, numerical value, unit fields, etc.

  16. o

    Services producer price index (SPPI); index 2021=100

    • data.overheid.nl
    • dexes.eu
    • +2more
    atom, json
    Updated Jun 6, 2025
    + more versions
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    Centraal Bureau voor de Statistiek (Rijk) (2025). Services producer price index (SPPI); index 2021=100 [Dataset]. https://data.overheid.nl/dataset/46509-services-producer-price-index--sppi---index-2021-100
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    atom(KB), json(KB)Available download formats
    Dataset updated
    Jun 6, 2025
    Dataset provided by
    Centraal Bureau voor de Statistiek (Rijk)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This table shows the price indices, quarterly and yearly changes in prices of services that companies provide. The figures are broken down by type of services according to the Classification of Products by Activity (CPA 2015 version 2.1). For some services, a further breakdown has been made on the basis of market data that differ from the CPA. This breakdown is indicated with a letter after the CPA-code.

    The base year for all Services producer price indices is 2021. The year average, quarterly and yearly changes are calculated with unrounded figures.

    Data available from: 4th quarter 2002.

    Status of the figures: The figures for the most recent quarter are revised provisional. These figures are made definite in the publication for the subsequent quarter.

    Changes as of June 6 2025: The revised provisional figures of the 1st quarter 2025 have been added.

    Changes as of August 15 2024: The price indices of 743, 7430 and 74301 Translation and interpretation; and 743011 Translation services and 743012 Interpretation services have also become visible for the 1st quarter of 2024. In the table update of June 14, 2024, no visible figures were yet included for these codes.

    Changes as of June 14 2024: The price index of 631119A Datacenter colocation has become visible from the 4th quarter of 2022. In the table update of May 15, 2024, no visible figures were yet included for code 631119A Datacenter colocation.

    For code 50401 Inland freight water transport services, more figures have become visible and the history of index figures now goes back to the 4th quarter of 2014. The same visibility of figures of code 504 Inland freight water transport services has been applied to the underlying market segments 5040 Inland freight water transport services and 50401 Inland freight water transport services.

    For code 68201 Rental and operating services of own or leased real estate, more figures have become visible and the history of index figures now goes back to the 1st quarter of 2017. The same visibility of figures of coding 6820 Rental and operating services of own or leased real estate has been applied to the underlying market segment 68201 Rental and operating services of own or leased real estate.

    For code 68311 Real estate agency services on a fee or contract basis, more figures have become visible and the history of index figures now goes back to the 1st quarter of 2006. The same visibility of figures of code 6831 Real estate agency services on a fee or contract basis has been applied to the underlying market segment 68311 Real estate agency services on a fee or contract basis.

    When will new figures be published? New figures are available twice per quarter. Halfway each quarter, the results of the pricing method Model pricing (around half of the branches) are published and the other branches with the Unit value method follow at the end of the quarter. This concerns the price development of the previous quarter. The Services producer price index of the total commercial services is also calculated and published at the end of each quarter.

    The Services producer price indices publication schedule can be downloaded as an Excel file under section: 3 Relevant articles. More information about the pricing method can be found in the video under section: 3 Relevant articles.

  17. Percent Change In Consumer Price Index (CPI) Over Previous Period, 2019 As...

    • data.gov.sg
    Updated Feb 5, 2025
    + more versions
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    Singapore Department of Statistics (2025). Percent Change In Consumer Price Index (CPI) Over Previous Period, 2019 As Base Year, Quarterly [Dataset]. https://data.gov.sg/datasets/d_89f31178d5325fc510f9a973c1970823/view
    Explore at:
    Dataset updated
    Feb 5, 2025
    Dataset authored and provided by
    Singapore Department of Statistics
    License

    https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence

    Time period covered
    Apr 1961 - Dec 2024
    Description

    Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_89f31178d5325fc510f9a973c1970823/view

  18. k

    Average of Consumer Price Index and rate of change by city

    • datasource.kapsarc.org
    csv, excel, json
    Updated Jul 13, 2023
    + more versions
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    (2023). Average of Consumer Price Index and rate of change by city [Dataset]. https://datasource.kapsarc.org/explore/dataset/average-of-consumer-price-index-by-city/
    Explore at:
    excel, csv, jsonAvailable download formats
    Dataset updated
    Jul 13, 2023
    Description

    This dataset contains Average of Consumer Price Index and rate of change by city (2018 Base Year). Data from General Authority for Statistics. Follow datasource.kapsarc.org for timely data to advance energy economics research.

  19. Consumer Price Index (CPI) Trends in India Feb'24

    • kaggle.com
    Updated Aug 24, 2024
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    Prathamjyot Singh (2024). Consumer Price Index (CPI) Trends in India Feb'24 [Dataset]. https://www.kaggle.com/datasets/prathamjyotsingh/state-level-consumer-price-index
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 24, 2024
    Dataset provided by
    Kaggle
    Authors
    Prathamjyot Singh
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    India
    Description

    Explanation of CPI and the Dataset:

    What is CPI?

    CPI (Consumer Price Index) measures the average change in prices over time that consumers pay for a basket of goods and services. It is a key indicator of inflation and is used by governments and central banks to monitor price stability and for inflation targeting. Components: The construction of CPI involves two main components: Weighting Diagrams: These represent the consumption patterns of households. Price Data: This is collected at regular intervals to track changes in prices.

    Role of the Central Statistics Office (CSO):

    The CSO, under the Ministry of Statistics and Programme Implementation, is responsible for releasing CPI data. The indices are released for Rural, Urban, and Combined sectors for all-India and individual States/UTs.

    Dataset Alignment:

    Sectors: The dataset includes a "Sector" column that categorizes data into "Rural," "Urban," and "Rural+Urban," aligning with the CPI data released by the CSO. Time Period: The "Year" and "Name" (which appears to represent months) columns in the dataset track the data over time, consistent with the monthly release schedule by the CSO starting from January 2011. State/UT Data: Each column corresponding to a state or union territory likely represents the CPI values for that region. The numeric values under each state/UT column represent the CPI index values, with a base of 2010=100. Purpose: This data can be used to analyze inflation trends, price stability, and the impact on economic policies, such as adjustments to dearness allowance for employees. Practical Use of This Data: Inflation Analysis: By examining the changes in CPI values across different states, analysts can study regional inflation trends and compare them to the national average. Policy Making: Governments and central banks can use this data to design and adjust policies aimed at controlling inflation, targeting specific regions or sectors that are experiencing higher inflation. Wage Indexation: Companies and governments can use CPI data to adjust wages and allowances in line with inflation, ensuring that purchasing power is maintained.

  20. k

    Consumer Price Index

    • datasource.kapsarc.org
    Updated Dec 18, 2024
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    (2024). Consumer Price Index [Dataset]. https://datasource.kapsarc.org/explore/dataset/consumer-prices-index-less-housing-01_24_2018-15_54_14/
    Explore at:
    Dataset updated
    Dec 18, 2024
    Description

    Explore the Consumer Prices Index Less Housing dataset, featuring information on percentage change, index numbers, and more. Stay updated on CPI trends in Saudi Arabia, Bahrain, Kuwait, Oman, and Qatar.

    Percentage change - previous period, Index number, %, Percentage change- same period previous year, CPI, Cost of living, Price

    Saudi Arabia, Bahrain, Kuwait, Oman, QatarFollow data.kapsarc.org for timely data to advance energy economics research..Base year = 2018

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Statista (2024). U.S. projected Consumer Price Index 2010-2029 [Dataset]. https://www.statista.com/statistics/244993/projected-consumer-price-index-in-the-united-states/
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U.S. projected Consumer Price Index 2010-2029

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Dataset updated
Aug 21, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

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.

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