10 datasets found
  1. T

    United States Inflation Rate MoM

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 11, 2025
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    TRADING ECONOMICS (2025). United States Inflation Rate MoM [Dataset]. https://tradingeconomics.com/united-states/inflation-rate-mom
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Jun 11, 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
    Feb 28, 1947 - May 31, 2025
    Area covered
    United States
    Description

    The Consumer Price Index in the United States increased 0.10 percent in May of 2025 over the previous month. This dataset provides - United States Inflation Rate MoM - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  2. F

    Inflation, consumer prices for the United States

    • fred.stlouisfed.org
    json
    Updated Apr 16, 2025
    + more versions
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    (2025). Inflation, consumer prices for the United States [Dataset]. https://fred.stlouisfed.org/series/FPCPITOTLZGUSA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 16, 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 Inflation, consumer prices for the United States (FPCPITOTLZGUSA) from 1960 to 2024 about consumer, CPI, inflation, price index, indexes, price, and USA.

  3. Real gross value added by main economic activity (ROPI-adjusted for...

    • db.nomics.world
    Updated Feb 6, 2025
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    DBnomics (2025). Real gross value added by main economic activity (ROPI-adjusted for inflation) - Regions [Dataset]. https://db.nomics.world/OECD/DSD_REG_ECO_ROPI@DF_GVA_ROPI
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    Dataset updated
    Feb 6, 2025
    Authors
    DBnomics
    Description

    This dataset provides statistics on real gross value added by broad 10 activities for regions. Real values are deflation-adjusted using the Regional Producer Price Index (ROPI), where available.

    Data source and definition

    Regional gross value added 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.

    See method and detailed data sources in Regions and Cities at a Glance 2024, Annex.

    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. Correspondence between TL3 and metropolitan regions:(xlsx).

    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

  4. Real labour productivity by main economic activity (ROPI-adjusted for...

    • db.nomics.world
    Updated Feb 6, 2025
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    DBnomics (2025). Real labour productivity by main economic activity (ROPI-adjusted for inflation) - Regions [Dataset]. https://db.nomics.world/OECD/DSD_REG_ECO_ROPI@DF_LPR_ROPI
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    Dataset updated
    Feb 6, 2025
    Authors
    DBnomics
    Description

    This dataset provides statistics on labour productivity for large and small regions. Real values are deflation-adjusted using the Regional Producer Price Index (ROPI), where available.

    Data source and definition

    Labour productivity is measured as gross value added per employment at place of work by main economic activity. Regional gross value added and employment data are 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, data in current prices are transformed into constant prices and PPP measures.

    See method and detailed data sources in Regions and Cities at a Glance 2024, Annex.

    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. Correspondence between TL3 and metropolitan regions:(xlsx).

    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

  5. Real gross domestic product (ROPI-adjusted for inflation) - Regions

    • db.nomics.world
    Updated Feb 6, 2025
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    DBnomics (2025). Real gross domestic product (ROPI-adjusted for inflation) - Regions [Dataset]. https://db.nomics.world/OECD/DSD_REG_ECO_ROPI@DF_GDP_ROPI
    Explore at:
    Dataset updated
    Feb 6, 2025
    Authors
    DBnomics
    Description

    This dataset provides statistics on real gross domestic product (GDP) and real GDP per capita for subnational regions. Real values are deflation-adjusted using the Regional Producer Price Index (ROPI), where available.

    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.

    To allow comparability over time and between countries, data at current prices are transformed into constant prices and purchasing power parity measures. Regional GDP per capita is calculated by dividing regional GDP by the average annual population of the region.

    See method and detailed data sources in Regions and Cities at a Glance 2024, Annex.

    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. Correspondence between TL3 and metropolitan regions:(xlsx).

    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

  6. F

    Personal Consumption Expenditures

    • fred.stlouisfed.org
    json
    Updated Jun 27, 2025
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    (2025). Personal Consumption Expenditures [Dataset]. https://fred.stlouisfed.org/series/PCE
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    jsonAvailable download formats
    Dataset updated
    Jun 27, 2025
    License

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

    Description

    View data of PCE, an index that measures monthly changes in the price of consumer goods and services as a means of analyzing inflation.

  7. Inflation rate in Nigeria 2030

    • statista.com
    • ai-chatbox.pro
    Updated May 15, 2025
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    Statista (2025). Inflation rate in Nigeria 2030 [Dataset]. https://www.statista.com/statistics/383132/inflation-rate-in-nigeria/
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    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Nigeria
    Description

    Nigeria’s inflation has been higher than the average for African and Sub-Saharan countries for years now, and even exceeded 16 percent in 2017 – and a real, significant decrease is nowhere in sight. The bigger problem is its unsteadiness, however: An inflation rate that is bouncing all over the place, like this one, is usually a sign of a struggling economy, causing prices to fluctuate, and unemployment and poverty to increase. Nigeria’s economy - a so-called “mixed economy”, which means the market economy is at least in part regulated by the state – is not entirely in bad shape, though. More than half of its GDP is generated by the services sector, namely telecommunications and finances, and the country derives a significant share of its state revenues from oil.

    Because it got high

    To simplify: When the inflation rate rises, so do prices, and consequently banks raise their interest rates as well to cope and maintain their profit margin. Higher interest rates often cause unemployment to rise. In certain scenarios, rising prices can also mean more panicky spending and consumption among end users, causing debt and poverty. The extreme version of this is called hyperinflation: A rapid increase of prices that is out of control and leads to bankruptcies en masse, devaluation of money and subsequently a currency reform, among other things. But does that mean that low inflation is better? Maybe, but only to a certain degree; the ECB, for example, aspires to maintain an inflation rate of about two percent so as to keep the economy stable. As soon as we reach deflation territory, however, things are starting to look grim again. The best course is a stable inflation rate, to avoid uncertainty and rash actions.

    Nigeria today

    Nigeria is one of the countries with the largest populations worldwide and also the largest economy in Africa, with its economy growing rapidly after a slump in the aforementioned year 2017. It is slated to be one of the countries with the highest economic growth over the next few decades. Demographic key indicators, like infant mortality rate, fertility rate, and the median age of the population, all point towards a bright future. Additionally, the country seems to make big leaps forward in manufacturing and technological developments, and boasts huge natural resources, including natural gas. All in all, Nigeria and its inflation seem to be on the upswing – or on the path to stabilization, as it were.

  8. T

    Nigeria Inflation Rate

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 16, 2025
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    TRADING ECONOMICS (2025). Nigeria Inflation Rate [Dataset]. https://tradingeconomics.com/nigeria/inflation-cpi
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    Jun 16, 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
    Jan 31, 1996 - May 31, 2025
    Area covered
    Nigeria
    Description

    Inflation Rate in Nigeria decreased to 22.97 percent in May from 23.71 percent in April of 2025. This dataset provides - Nigeria Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  9. T

    Singapore Core Inflation Rate

    • tradingeconomics.com
    • es.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 23, 2025
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    TRADING ECONOMICS (2025). Singapore Core Inflation Rate [Dataset]. https://tradingeconomics.com/singapore/core-inflation-rate
    Explore at:
    csv, xml, json, excelAvailable download formats
    Dataset updated
    May 23, 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
    Jan 31, 1990 - May 31, 2025
    Area covered
    Singapore
    Description

    Core consumer prices in Singapore increased 0.60 percent in May of 2025 over the same month in the previous year. This dataset provides the latest reported value for - Singapore Core Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  10. T

    South Africa Unemployment Rate

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 13, 2025
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    TRADING ECONOMICS (2025). South Africa Unemployment Rate [Dataset]. https://tradingeconomics.com/south-africa/unemployment-rate
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    May 13, 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
    Sep 30, 2000 - Mar 31, 2025
    Area covered
    South Africa
    Description

    Unemployment Rate in South Africa increased to 32.90 percent in the first quarter of 2025 from 31.90 percent in the fourth quarter of 2024. This dataset provides - South Africa Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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TRADING ECONOMICS (2025). United States Inflation Rate MoM [Dataset]. https://tradingeconomics.com/united-states/inflation-rate-mom

United States Inflation Rate MoM

United States Inflation Rate MoM - Historical Dataset (1947-02-28/2025-05-31)

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
csv, excel, json, xmlAvailable download formats
Dataset updated
Jun 11, 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
Feb 28, 1947 - May 31, 2025
Area covered
United States
Description

The Consumer Price Index in the United States increased 0.10 percent in May of 2025 over the previous month. This dataset provides - United States Inflation Rate MoM - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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