17 datasets found
  1. F

    Consumer Price Index for All Urban Consumers: Purchasing Power of the...

    • fred.stlouisfed.org
    json
    Updated Mar 12, 2025
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    (2025). Consumer Price Index for All Urban Consumers: Purchasing Power of the Consumer Dollar in U.S. City Average [Dataset]. https://fred.stlouisfed.org/series/CUUR0000SA0R
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    jsonAvailable download formats
    Dataset updated
    Mar 12, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Consumer Price Index for All Urban Consumers: Purchasing Power of the Consumer Dollar in U.S. City Average (CUUR0000SA0R) from Jan 1913 to Feb 2025 about urban, consumer, CPI, inflation, price index, indexes, price, and USA.

  2. f

    Data from: Speed of Reversion of Deviations of the Purchasing Power Parity...

    • scielo.figshare.com
    xls
    Updated Jun 1, 2023
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    Felipe de Sousa Bastos; Roberto Tatiwa Ferreira; Elano Ferreira Arruda (2023). Speed of Reversion of Deviations of the Purchasing Power Parity for Brazilian Cities [Dataset]. http://doi.org/10.6084/m9.figshare.5907598.v1
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SciELO journals
    Authors
    Felipe de Sousa Bastos; Roberto Tatiwa Ferreira; Elano Ferreira Arruda
    License

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

    Area covered
    Brazil
    Description

    This study estimates the rate of reversion of deviations from the PPP for Brazilian cities considering three possible sources of bias: i) Nickell, ii) the heterogeneity of the autoregressive coefficients, and iii) generated by the temporal aggregation of price indices. The values of the estimated half-lives were approximately 4.41 and 3.18 years when considering the price index of Brazil and the average of the indices of cities as references, respectively. When using the price index for each city as the numeraire, the median half-life is 3.13 years.

  3. U.S. monthly inflation rate 2024

    • statista.com
    Updated Jul 3, 2024
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    Statista Research Department (2024). U.S. monthly inflation rate 2024 [Dataset]. https://www.statista.com/topics/831/per-capita-expenditure/
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    Dataset updated
    Jul 3, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    In November 2024, prices had increased by 2.7 percent compared to November 2023 according to the 12-month percentage change in the consumer price index — the monthly inflation rate for goods and services in the United States. The data represents U.S. city averages. In economics, the inflation rate is a measure of the change in price level over time. The rate of decrease in the purchasing power of money is approximately equal. A projection of the annual U.S. inflation rate can be accessed here and the actual annual inflation rate since 1990 can be accessed here. InflationOne of the most important economic indicators is the development of the Consumer Price Index in a country. The change in this price level of goods and services is defined as the rate of inflation. The inflationary situation in the United States had been relatively severe in 2022 due to global events relating to COVID-19, supply chain restrains, and the Russian invasion of Ukraine. More information on U.S. inflation may be found on our dedicated topic page. The annual inflation rate in the United States has increased from 3.2 percent in 2011 to 8.3 percent in 2022. This means that the purchasing power of the U.S. dollar has weakened in recent years. The purchasing power is the extent to which a person has available funds to make purchases. According to the data published by the International Monetary Fund, the U.S. Consumer Price Index (CPI) was about 258.84 in 2020 and is forecasted to grow up to 325.6 by 2027, compared to the base period from 1982 to 1984. The monthly percentage change in the Consumer Price Index (CPI) for urban consumers in the United States was 0.1 percent in March 2023 compared to the previous month. In 2022, countries all around the world are experienced high levels of inflation. Although Brazil already had an inflation rate of 8.3 percent in 2021, compared to the previous year, while the inflation rate in China stood at 0.85 percent.

  4. T

    Vital Signs: Rent Payments – by city (2022)

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Feb 1, 2023
    + more versions
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    (2023). Vital Signs: Rent Payments – by city (2022) [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Rent-Payments-by-city-2022-/wjgr-k4g6
    Explore at:
    csv, tsv, application/rdfxml, xml, json, application/rssxmlAvailable download formats
    Dataset updated
    Feb 1, 2023
    Description

    VITAL SIGNS INDICATOR
    Rent Payments (EC8)

    FULL MEASURE NAME
    Median rent payment

    LAST UPDATED
    January 2023

    DESCRIPTION
    Rent payments refer to the cost of leasing an apartment or home and serves as a measure of housing costs for individuals who do not own a home. The data reflect the median monthly rent paid by Bay Area households across apartments and homes of various sizes and various levels of quality. This differs from advertised rents for available apartments, which usually are higher. Note that rent can be presented using nominal or real (inflation-adjusted) dollar values; data are presented inflation-adjusted to reflect changes in household purchasing power over time.

    DATA SOURCE
    U.S. Census Bureau: Decennial Census - https://nhgis.org
    Count 2 (1970)
    Form STF1 (1980-1990)
    Form SF3a (2000)

    U.S. Census Bureau: American Community Survey - https://data.census.gov/
    Form B25058 (2005-2021; median contract rent)

    Bureau of Labor Statistics: Consumer Price Index - https://www.bls.gov/data/
    1970-2021

    CONTACT INFORMATION
    vitalsigns.info@mtc.ca.gov

    METHODOLOGY NOTES (across all datasets for this indicator)
    Rent data reflects median rent payments rather than list rents (refer to measure definition above). American Community Survey 1-year data is used for larger geographies – Bay counties and most metropolitan area counties – while smaller geographies rely upon 5-year rolling average data due to their smaller sample sizes. Note that 2020 data uses the 5-year estimates because the ACS did not collect 1-year data for 2020.

    1970 Census data for median rent payments has been imputed from quintiles using methodology from California Department of Finance as the source data only provided the mean, rather than the median, monthly rent. Metro area boundaries reflects today’s metro area definitions by county for consistency, rather than historical metro area boundaries.

    Inflation-adjusted data are presented to illustrate how rent payments have grown relative to overall price increases; that said, the use of the Consumer Price Index (CPI) does create some challenges given the fact that housing represents a major chunk of consumer goods bundle used to calculate CPI. This reflects a methodological tradeoff between precision and accuracy and is a common concern when working with any commodity that is a major component of CPI itself.

  5. 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/
    Explore at:
    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.

  6. Gross domestic product - Regions

    • db.nomics.world
    Updated Jul 9, 2024
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    DBnomics (2024). Gross domestic product - Regions [Dataset]. https://db.nomics.world/OECD/DSD_REG_ECO@DF_GDP
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    Dataset updated
    Jul 9, 2024
    Authors
    DBnomics
    Description

    This dataset provides statistics on gross domestic product and gross domestic product per capita, for large regions (TL2) and small regions (TL3).

    Data source and definition

    Regional gross domestic product data is collected at current prices, in millions of national currency from Eurostat (reg_eco10) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites. In order to allow comparability over time and across countries, data in current prices are transformed into constant prices and PPP measures (link). Regional GDP per capita is calculated by dividing the regional GDP by the average annual population of the region.

    Definition of regions

    Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid (pdf) and in the OECD Territorial correspondence table (xlsx).

    Use of economic data on small regions

    When economic analyses are carried out at the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting, see the list of OECD metropolitan regions (xlsx) and the EU methodology (link).

    Small regions (TL3) are categorized based on shared characteristics into regional typologies. See the economic indicators aggregated by territorial typology at country level on the access to City typology (link) and by urban-rural typology (link).

    Cite this dataset

    OECD Regions and Cities databases http://oe.cd/geostats

    Further information

    Contact: RegionStat@oecd.org

  7. F

    Regional Price Parities: Services: Housing for Boise City, ID (MSA)

    • fred.stlouisfed.org
    json
    Updated Dec 12, 2024
    + more versions
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    (2024). Regional Price Parities: Services: Housing for Boise City, ID (MSA) [Dataset]. https://fred.stlouisfed.org/series/RPPSERVERENT14260
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 12, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Boise
    Description

    Graph and download economic data for Regional Price Parities: Services: Housing for Boise City, ID (MSA) (RPPSERVERENT14260) from 2008 to 2023 about Boise City, ID, PPP, rent, services, price, and USA.

  8. d

    Power Supply Adjustment Costs by Percentage

    • datasets.ai
    • data.austintexas.gov
    • +3more
    23, 40, 55, 8
    Updated Sep 16, 2024
    + more versions
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    City of Austin (2024). Power Supply Adjustment Costs by Percentage [Dataset]. https://datasets.ai/datasets/power-supply-adjustment-costs-by-percentage
    Explore at:
    40, 23, 55, 8Available download formats
    Dataset updated
    Sep 16, 2024
    Dataset authored and provided by
    City of Austin
    Description

    Costs allowed in the fuel tariff include fuel for generation, transportation, renewable purchase power agreements, purchase power to serve retail customers, ERCOT fees and hedging. Find more information at http://austinenergy.com/go/reports.

  9. Income - Regions

    • db.nomics.world
    Updated Jul 9, 2024
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    DBnomics (2024). Income - Regions [Dataset]. https://db.nomics.world/OECD/DSD_REG_ECO@DF_INC
    Explore at:
    Dataset updated
    Jul 9, 2024
    Authors
    DBnomics
    Description

    This dataset provides statistics on disposable income and primary income, for large regions (TL2) and small regions (TL3) when available.

    Data source and definition

    Income here is measured from the macro perspective produced by the regional accounts. Income data is collected from Eurostat (reg_eco10) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites. In order to allow comparability over time and across countries, income in current prices are transformed into constant prices and PPP measures (link). For the income series, the deflator retained is the 'implicit national price index of households final consumption expenditure', which is the deflator used in SNA for the transaction P31S14.

    Definition of regions

    Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid (pdf) and in the OECD Territorial correspondence table (xlsx).

    Use of economic data on small regions

    When economic analyses are carried out at the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting, see the list of OECD metropolitan regions (xlsx) and the EU methodology (link).

    Small regions (TL3) are categorized based on shared characteristics into regional typologies. See the economic indicators aggregated by territorial typology at country level on the access to City typology (link) and by urban-rural typology (link).

    Cite this dataset

    OECD Regions and Cities databases http://oe.cd/geostats

    Further information

    Contact: RegionStat@oecd.org

  10. d

    Power Supply Adjustment/Fuel Charge

    • catalog.data.gov
    • data.austintexas.gov
    • +4more
    Updated May 25, 2024
    + more versions
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    data.austintexas.gov (2024). Power Supply Adjustment/Fuel Charge [Dataset]. https://catalog.data.gov/dataset/power-supply-adjustment-fuel-charge
    Explore at:
    Dataset updated
    May 25, 2024
    Dataset provided by
    data.austintexas.gov
    Description

    Austin Energy’s Power Supply Adjustment recovers fuel for generation, transportation, renewable purchase power agreements, purchase power to serve retail customers, ERCOT fees, hedging and the balance from the previous period. The adjustment is reviewed annually. Find more information at http://austinenergy.com/go/reports.

  11. U.S. monthly inflation rate 2025

    • statista.com
    • flwrdeptvarieties.store
    Updated Mar 11, 2025
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    Statista (2025). U.S. monthly inflation rate 2025 [Dataset]. https://www.statista.com/statistics/273418/unadjusted-monthly-inflation-rate-in-the-us/
    Explore at:
    Dataset updated
    Mar 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2021 - Jan 2025
    Area covered
    United States
    Description

    In January 2025, prices had increased by three percent compared to January 2024 according to the 12-month percentage change in the consumer price index — the monthly inflation rate for goods and services in the United States. The data represents U.S. city averages. In economics, the inflation rate is a measure of the change in price level over time. The rate of decrease in the purchasing power of money is approximately equal. A projection of the annual U.S. inflation rate can be accessed here and the actual annual inflation rate since 1990 can be accessed here. InflationOne of the most important economic indicators is the development of the Consumer Price Index in a country. The change in this price level of goods and services is defined as the rate of inflation. The inflationary situation in the United States had been relatively severe in 2022 due to global events relating to COVID-19, supply chain restrains, and the Russian invasion of Ukraine. More information on U.S. inflation may be found on our dedicated topic page. The annual inflation rate in the United States has increased from 3.2 percent in 2011 to 8.3 percent in 2022. This means that the purchasing power of the U.S. dollar has weakened in recent years. The purchasing power is the extent to which a person has available funds to make purchases. According to the data published by the International Monetary Fund, the U.S. Consumer Price Index (CPI) was about 258.84 in 2020 and is forecasted to grow up to 325.6 by 2027, compared to the base period from 1982 to 1984. The monthly percentage change in the Consumer Price Index (CPI) for urban consumers in the United States was 0.1 percent in March 2023 compared to the previous month. In 2022, countries all around the world are experienced high levels of inflation. Although Brazil already had an inflation rate of 8.3 percent in 2021, compared to the previous year, while the inflation rate in China stood at 0.85 percent.

  12. T

    Checkbook L.A. Data

    • controllerdata.lacity.org
    application/rdfxml +5
    Updated Mar 24, 2025
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    Controller (2025). Checkbook L.A. Data [Dataset]. https://controllerdata.lacity.org/Purchasing/Checkbook-L-A-Data/pggv-e4fn
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    csv, json, xml, tsv, application/rssxml, application/rdfxmlAvailable download formats
    Dataset updated
    Mar 24, 2025
    Dataset authored and provided by
    Controller
    License

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

    Description

    This dataset contains City spending data and is used to power the Controller's Checkbook L.A application. Data since fiscal year 2018.

  13. d

    Taiwan Power Company_ Purchase of Renewable Energy by County and City

    • data.gov.tw
    csv
    Updated Mar 4, 2025
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    Taiwan Power Company (2025). Taiwan Power Company_ Purchase of Renewable Energy by County and City [Dataset]. https://data.gov.tw/en/datasets/29936
    Explore at:
    csvAvailable download formats
    Dataset updated
    Mar 4, 2025
    Dataset authored and provided by
    Taiwan Power Company
    License

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

    Description

    The purchased capacity and purchase ratio of renewable energy by type in each county and city in recent years (since 2014)

  14. Patient characteristics and outcomes.

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
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    Theresa Reiker; Sarah Des Rosiers; Johannes Boch; Gautam Partha; Lakshmi Venkitachalam; Adela Santana; Abhinav Srivasatava; Joseph Barboza; Enkhtuya Byambasuren; Yara C. Baxter; Karina Mauro Dib; Naranjargal Dashdorj; Malick Anne; Renato W. de Oliveira; Mariana Silveira; Jose M. E. Ferrer; Louise Morgan; Olivia Jones; Tumurbaatar Luvsansambuu; Luiz Aparecido Bortolotto; Luciano Drager; Alvaro Avezum; Ann Aerts (2023). Patient characteristics and outcomes. [Dataset]. http://doi.org/10.1371/journal.pgph.0001480.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Theresa Reiker; Sarah Des Rosiers; Johannes Boch; Gautam Partha; Lakshmi Venkitachalam; Adela Santana; Abhinav Srivasatava; Joseph Barboza; Enkhtuya Byambasuren; Yara C. Baxter; Karina Mauro Dib; Naranjargal Dashdorj; Malick Anne; Renato W. de Oliveira; Mariana Silveira; Jose M. E. Ferrer; Louise Morgan; Olivia Jones; Tumurbaatar Luvsansambuu; Luiz Aparecido Bortolotto; Luciano Drager; Alvaro Avezum; Ann Aerts
    License

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

    Description

    This table summarizes previously published population characteristics, intervention periods, and differences in hypertension control rates following the implementation of the CARDIO4Cities approach in Ulaanbaatar, Dakar, and São Paulo.

  15. f

    Disutility assumptions for age-adjusted hypertension and annual utility...

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
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    Theresa Reiker; Sarah Des Rosiers; Johannes Boch; Gautam Partha; Lakshmi Venkitachalam; Adela Santana; Abhinav Srivasatava; Joseph Barboza; Enkhtuya Byambasuren; Yara C. Baxter; Karina Mauro Dib; Naranjargal Dashdorj; Malick Anne; Renato W. de Oliveira; Mariana Silveira; Jose M. E. Ferrer; Louise Morgan; Olivia Jones; Tumurbaatar Luvsansambuu; Luiz Aparecido Bortolotto; Luciano Drager; Alvaro Avezum; Ann Aerts (2023). Disutility assumptions for age-adjusted hypertension and annual utility costs for CV events. [Dataset]. http://doi.org/10.1371/journal.pgph.0001480.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS Global Public Health
    Authors
    Theresa Reiker; Sarah Des Rosiers; Johannes Boch; Gautam Partha; Lakshmi Venkitachalam; Adela Santana; Abhinav Srivasatava; Joseph Barboza; Enkhtuya Byambasuren; Yara C. Baxter; Karina Mauro Dib; Naranjargal Dashdorj; Malick Anne; Renato W. de Oliveira; Mariana Silveira; Jose M. E. Ferrer; Louise Morgan; Olivia Jones; Tumurbaatar Luvsansambuu; Luiz Aparecido Bortolotto; Luciano Drager; Alvaro Avezum; Ann Aerts
    License

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

    Description

    Disutility assumptions for age-adjusted hypertension and annual utility costs for CV events.

  16. f

    The incremental cost summarizes the difference in total costs (program cost...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Theresa Reiker; Sarah Des Rosiers; Johannes Boch; Gautam Partha; Lakshmi Venkitachalam; Adela Santana; Abhinav Srivasatava; Joseph Barboza; Enkhtuya Byambasuren; Yara C. Baxter; Karina Mauro Dib; Naranjargal Dashdorj; Malick Anne; Renato W. de Oliveira; Mariana Silveira; Jose M. E. Ferrer; Louise Morgan; Olivia Jones; Tumurbaatar Luvsansambuu; Luiz Aparecido Bortolotto; Luciano Drager; Alvaro Avezum; Ann Aerts (2023). The incremental cost summarizes the difference in total costs (program cost and CV-event costs) for the No CARDIO vs CARDIO scenario. [Dataset]. http://doi.org/10.1371/journal.pgph.0001480.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS Global Public Health
    Authors
    Theresa Reiker; Sarah Des Rosiers; Johannes Boch; Gautam Partha; Lakshmi Venkitachalam; Adela Santana; Abhinav Srivasatava; Joseph Barboza; Enkhtuya Byambasuren; Yara C. Baxter; Karina Mauro Dib; Naranjargal Dashdorj; Malick Anne; Renato W. de Oliveira; Mariana Silveira; Jose M. E. Ferrer; Louise Morgan; Olivia Jones; Tumurbaatar Luvsansambuu; Luiz Aparecido Bortolotto; Luciano Drager; Alvaro Avezum; Ann Aerts
    License

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

    Description

    +Estimates extracted from [40]. The thresholds are adjusted for PPP and in-country opportunity costs. *Estimates extracted from [43]. $WHO CHOICE stipulates a cost-effectiveness threshold of three times the per-capita GDP.

  17. T

    GDP PER CAPITA PPP by Country in ASIA

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 9, 2025
    + more versions
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    TRADING ECONOMICS (2025). GDP PER CAPITA PPP by Country in ASIA [Dataset]. https://tradingeconomics.com/country-list/gdp-per-capita-ppp?continent=asia
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    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Mar 9, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    2025
    Area covered
    Asia
    Description

    This dataset provides values for GDP PER CAPITA PPP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  18. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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(2025). Consumer Price Index for All Urban Consumers: Purchasing Power of the Consumer Dollar in U.S. City Average [Dataset]. https://fred.stlouisfed.org/series/CUUR0000SA0R

Consumer Price Index for All Urban Consumers: Purchasing Power of the Consumer Dollar in U.S. City Average

CUUR0000SA0R

Explore at:
20 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Mar 12, 2025
License

https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

Area covered
United States
Description

Graph and download economic data for Consumer Price Index for All Urban Consumers: Purchasing Power of the Consumer Dollar in U.S. City Average (CUUR0000SA0R) from Jan 1913 to Feb 2025 about urban, consumer, CPI, inflation, price index, indexes, price, and USA.

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