16 datasets found
  1. T

    United States Inflation Rate

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 11, 2025
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    TRADING ECONOMICS (2025). United States Inflation Rate [Dataset]. https://tradingeconomics.com/united-states/inflation-cpi
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    json, excel, xml, csvAvailable 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
    Dec 31, 1914 - May 31, 2025
    Area covered
    United States
    Description

    Inflation Rate in the United States increased to 2.40 percent in May from 2.30 percent in April of 2025. This dataset provides - United States Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  2. T

    Mexico Inflation Rate

    • tradingeconomics.com
    • fr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Apr 9, 2025
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    TRADING ECONOMICS (2025). Mexico Inflation Rate [Dataset]. https://tradingeconomics.com/mexico/inflation-cpi
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    xml, json, csv, excelAvailable download formats
    Dataset updated
    Apr 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
    Jan 31, 1974 - May 31, 2025
    Area covered
    Mexico
    Description

    Inflation Rate in Mexico increased to 4.42 percent in May from 3.93 percent in April of 2025. This dataset provides - Mexico Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  3. Replication dataset for PIIE PB 24-2, The Inflation Surge in Europe by...

    • piie.com
    Updated May 25, 2024
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    Patrick Honohan (2024). Replication dataset for PIIE PB 24-2, The Inflation Surge in Europe by Patrick Honohan (2024). [Dataset]. https://www.piie.com/publications/policy-briefs/2024/inflation-surge-europe
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    Dataset updated
    May 25, 2024
    Dataset provided by
    Peterson Institute for International Economicshttp://www.piie.com/
    Authors
    Patrick Honohan
    Area covered
    Europe
    Description

    This data package includes the underlying data files to replicate the data and charts presented in The Inflation Surge in Europe by Patrick Honohan, PIIE Policy Brief 24-2.

    If you use the data, please cite as: Honohan, Patrick. 2024. The Inflation Surge in Europe. PIIE Policy Brief 24-2. Washington, DC: Peterson Institute for International Economics.

  4. T

    Vietnam Inflation Rate

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 6, 2025
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    TRADING ECONOMICS (2025). Vietnam Inflation Rate [Dataset]. https://tradingeconomics.com/vietnam/inflation-cpi
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    xml, excel, json, csvAvailable download formats
    Dataset updated
    Jun 6, 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
    Vietnam
    Description

    Inflation Rate in Vietnam increased to 3.24 percent in May from 3.12 percent in April of 2025. This dataset provides the latest reported value for - Vietnam Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  5. J

    Are financial spreads useful indicators of future inflation and output...

    • journaldata.zbw.eu
    • jda-test.zbw.eu
    .df, txt
    Updated Dec 8, 2022
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    E. Philip Davis; Gabriel Fagan; E. Philip Davis; Gabriel Fagan (2022). Are financial spreads useful indicators of future inflation and output growth in EU countries? (replication data) [Dataset]. http://doi.org/10.15456/jae.2022313.1256928381
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    txt(4582), .df(28757), .df(4507)Available download formats
    Dataset updated
    Dec 8, 2022
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    E. Philip Davis; Gabriel Fagan; E. Philip Davis; Gabriel Fagan
    License

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

    Area covered
    European Union
    Description

    This paper seeks to address the policy issue of the usefulness of financial spreads as indicators of future inflation and output growth in the countries of the European Union, placing a particular focus on out-of-sample forecasting performance. Such analysis is of considerable relevance to monetary authorities, given the breakdown of the money/income relation in a number of countries and following increased emphasis of domestic monetary policy on control of inflation following the broadening of the ERM bands. The results confirm that for some countries, financial spread variables do contain some information about future output growth and inflation, with the yield curve and the reverse yield gap performing best. However, the relatively poor out-of-sample forecasting performance and/or parameter instability suggests that the need for caution in using spread variables for forecasting in EU countries. Only a small number of spreads contain information, and improve forecasting in a manner which is stable over time.

  6. H

    Monetary Policy Shocks and Macroeconomic Variables: Evidence from Fast...

    • dataverse.harvard.edu
    Updated Dec 13, 2013
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    Mehmet Ivrendi; Zekeriya Yildirim (2013). Monetary Policy Shocks and Macroeconomic Variables: Evidence from Fast Growing Emerging Economies [Dataset] [Dataset]. http://doi.org/10.7910/DVN/23957
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 13, 2013
    Dataset provided by
    Harvard Dataverse
    Authors
    Mehmet Ivrendi; Zekeriya Yildirim
    License

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

    Time period covered
    1995 - 2012
    Area covered
    India, Turkey, South Africa, Russia, Brazil, China
    Description

    This paper investigates both the effects of domestic monetary policy and external shocks on fundamental macroeconomic variables in six fast growing emerging economies: Brazil, Russia, India, China, South Africa and Turkey—denoted hereafter as BRICS_T. The authors adopt a structural VAR model with a block exogeneity procedure to identify domestic monetary policy shocks and external shocks. Their research reveals that a contractionary monetary policy in most countries appreciates the domestic currency, increases interest rates, effectively controls inflation rates and reduces output. They do not find any evidence of the price, output, exchange rates and trade puzzles that are usually found in VAR studies. Their findings imply that the exchange rate is the main transmission mechanism in BRICS_T economies. The authors also find that that there are inverse J-curves in five of the six fast growing emerging economies and there are deviations from UIP (Uncovered Interest Parity) in response to a contractionary monetary policy in those countries. Moreover, world output shocks are not a dominant source of fluctuations in those economies.

  7. T

    India Inflation Rate

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +14more
    csv, excel, json, xml
    Updated Jun 12, 2025
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    TRADING ECONOMICS (2025). India Inflation Rate [Dataset]. https://tradingeconomics.com/india/inflation-cpi
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    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Jun 12, 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, 2012 - May 31, 2025
    Area covered
    India
    Description

    Inflation Rate in India decreased to 2.82 percent in May from 3.16 percent in April of 2025. This dataset provides - India Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  8. Ethiopia ET: Inflation: GDP Deflator: Linked Series

    • ceicdata.com
    Updated Mar 18, 2018
    + more versions
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    CEICdata.com (2018). Ethiopia ET: Inflation: GDP Deflator: Linked Series [Dataset]. https://www.ceicdata.com/en/ethiopia/inflation/et-inflation-gdp-deflator-linked-series
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    Dataset updated
    Mar 18, 2018
    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, 2005 - Dec 1, 2016
    Area covered
    Ethiopia
    Description

    Ethiopia ET: Inflation:(GDP) Gross Domestic ProductDeflator: Linked Series data was reported at 6.324 % in 2017. This records a decrease from the previous number of 10.398 % for 2016. Ethiopia ET: Inflation:(GDP) Gross Domestic ProductDeflator: Linked Series data is updated yearly, averaging 10.137 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 33.541 % in 2012 and a record low of -5.755 % in 2001. Ethiopia ET: Inflation:(GDP) Gross Domestic ProductDeflator: Linked Series data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ethiopia – Table ET.World Bank.WDI: Inflation. Inflation as measured by the annual growth rate of the GDP implicit deflator shows the rate of price change in the economy as a whole. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years.; ; World Bank staff estimates based on World Bank national accounts data archives, OECD National Accounts, and the IMF WEO database.; ;

  9. n

    Data from: Controlling for p-value inflation in allele frequency change in...

    • narcis.nl
    • search.dataone.org
    • +3more
    Updated Nov 14, 2016
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    Kemppainen, Petri; Rønning, Bernt; Kvalnes, Thomas; Hagen, Ingerid J.; Ringsby, Thor Harald; Billing, Anna M.; Pärn, Henrik; Lien, Sigbjorn; Husby, Arild; Sæther, Bernt-Erik; Jensen, Henrik (2016). Data from: Controlling for p-value inflation in allele frequency change in experimental evolution and artificial selection experiments [Dataset]. http://doi.org/10.5061/dryad.vv527
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    Dataset updated
    Nov 14, 2016
    Dataset provided by
    Data Archiving and Networked Services (DANS)
    Authors
    Kemppainen, Petri; Rønning, Bernt; Kvalnes, Thomas; Hagen, Ingerid J.; Ringsby, Thor Harald; Billing, Anna M.; Pärn, Henrik; Lien, Sigbjorn; Husby, Arild; Sæther, Bernt-Erik; Jensen, Henrik
    Description

    Experimental evolution studies can be used to explore genomic response to artificial and natural selection. In such studies, loci that display larger allele frequency change than expected by genetic drift alone are assumed to be directly or indirectly associated with traits under selection. However, such studies report surprisingly many loci under selection, suggesting that current tests for allele frequency change may be subject to p-value inflation and hence be anti-conservative. One factor known from genome wide association (GWA) studies to cause p-value inflation is population stratification, such as relatedness among individuals. Here we suggest that by treating presence of an individual in a population after selection as a binary response variable, existing GWA methods can be used to account for relatedness when estimating allele frequency change. We show that accounting for relatedness like this effectively reduces false positives in tests for allele frequency change in simulated data with varying levels of population structure. However, once relatedness has been accounted for, the power to detect causal loci under selection is low. Finally, we demonstrate the presence of p-value inflation in allele frequency change in empirical data spanning multiple generations from an artificial selection experiment on tarsus length in two wild populations of house sparrow, and correct for this using genomic control. Our results indicate that since allele frequencies in large parts of the genome may change when selection acts on a heritable trait, such selection is likely to have considerable and immediate consequences for the eco-evolutionary dynamics of the affected populations.

  10. T

    United States Food Inflation

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Food Inflation [Dataset]. https://tradingeconomics.com/united-states/food-inflation
    Explore at:
    csv, excel, json, xmlAvailable download formats
    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, 1914 - May 31, 2025
    Area covered
    United States
    Description

    Cost of food in the United States increased 2.90 percent in May of 2025 over the same month in the previous year. This dataset provides the latest reported value for - United States Food Inflation - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  11. m

    Impact of monetary policy instruments on the Colombian economy: An analysis...

    • data.mendeley.com
    Updated Oct 9, 2024
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    Edward Enrique Escobar-Quiñonez (2024). Impact of monetary policy instruments on the Colombian economy: An analysis of the classical dichotomy and monetary neutrality [Dataset]. http://doi.org/10.17632/rr4h8m666t.2
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    Dataset updated
    Oct 9, 2024
    Authors
    Edward Enrique Escobar-Quiñonez
    License

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

    Area covered
    Colombia
    Description

    This dataset supports the research exploring the impact of monetary policy instruments on the Colombian economy, focusing on the classical dichotomy and monetary neutrality. The analysis delves into how monetary policy, including instruments such as interest rates and money supply, influences both nominal and real variables in the economy. It also highlights the relationship between monetary policy and economic stability, particularly how central banks manage inflation and economic growth. Key sections explore the separation between nominal and real variables as explained by the classical dichotomy, and the principle of monetary neutrality, which argues that changes in money supply affect nominal variables without impacting real economic factors.

    The dataset is structured around a combination of theoretical insights and simulations that analyze the effectiveness of monetary neutrality in the Colombian context, given both domestic and international economic challenges such as the war in Ukraine and agricultural sector disruptions. Through simulations, the dataset demonstrates the effects of monetary expansion on variables like inflation, production, and employment, providing a framework for understanding current economic trends and proposing solutions to socio-economic challenges in Colombia.

  12. m

    Data from: The U.S. Dollar in Crisis: The Role of Asset-Backed Digital...

    • data.mendeley.com
    Updated Mar 10, 2025
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    Nicolin Decker (2025). The U.S. Dollar in Crisis: The Role of Asset-Backed Digital Currencies in Its Transformation [Dataset]. http://doi.org/10.17632/g8g6vyhtdt.1
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    Dataset updated
    Mar 10, 2025
    Authors
    Nicolin Decker
    License

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

    Area covered
    United States
    Description

    This dataset supports the thesis The U.S. Dollar in Crisis: The Role of Asset-Backed Digital Currencies in Its Transformation by Nicolin Decker. It provides empirical data and econometric models to analyze the feasibility of Asset-Backed Digital Currencies (ABDCs) as a stabilizing alternative to fiat monetary systems. Spanning historical macroeconomic data (1970–2024) and projected ABDC circulation trends (2026–2036), the dataset includes inflation-adjusted monetary indicators, crisis response simulations, and global trade impact assessments. Key analyses incorporate Vector Autoregression (VAR), Monte Carlo simulations, Granger causality tests, and DSGE modeling to evaluate ABDC's effect on inflation control, liquidity stability, and financial resilience. The dataset is structured for full reproducibility, ensuring rigorous validation of ABDC’s role in modernizing global monetary policy.

  13. T

    Kenya Inflation Rate

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 30, 2025
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    TRADING ECONOMICS (2025). Kenya Inflation Rate [Dataset]. https://tradingeconomics.com/kenya/inflation-cpi
    Explore at:
    xml, json, excel, csvAvailable download formats
    Dataset updated
    May 30, 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, 2005 - May 31, 2025
    Area covered
    Kenya
    Description

    Inflation Rate in Kenya decreased to 3.80 percent in May from 4.10 percent in April of 2025. This dataset provides the latest reported value for - Kenya Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  14. T

    Bangladesh Inflation Rate

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 9, 2025
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    TRADING ECONOMICS (2025). Bangladesh Inflation Rate [Dataset]. https://tradingeconomics.com/bangladesh/inflation-cpi
    Explore at:
    xml, json, excel, csvAvailable download formats
    Dataset updated
    May 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
    Jul 31, 1994 - May 31, 2025
    Area covered
    Bangladesh
    Description

    Inflation Rate in Bangladesh decreased to 9.05 percent in May from 9.17 percent in April of 2025. This dataset provides the latest reported value for - Bangladesh Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  15. T

    Sri Lanka Inflation Rate

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 30, 2025
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    TRADING ECONOMICS (2025). Sri Lanka Inflation Rate [Dataset]. https://tradingeconomics.com/sri-lanka/inflation-cpi
    Explore at:
    csv, xml, json, excelAvailable download formats
    Dataset updated
    May 30, 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, 1986 - May 31, 2025
    Area covered
    Sri Lanka
    Description

    Inflation Rate in Sri Lanka decreased by 0.70 percent in May from -2 percent in April of 2025. This dataset provides - Sri Lanka Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  16. T

    United Kingdom House Price Index

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated May 15, 2025
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    TRADING ECONOMICS (2025). United Kingdom House Price Index [Dataset]. https://tradingeconomics.com/united-kingdom/housing-index
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    May 15, 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, 1983 - May 31, 2025
    Area covered
    United Kingdom
    Description

    Housing Index in the United Kingdom decreased to 511.50 points in May from 513.50 points in April of 2025. This dataset provides - United Kingdom House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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

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

United States Inflation Rate

United States Inflation Rate - Historical Dataset (1914-12-31/2025-05-31)

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151 scholarly articles cite this dataset (View in Google Scholar)
json, excel, xml, csvAvailable 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
Dec 31, 1914 - May 31, 2025
Area covered
United States
Description

Inflation Rate in the United States increased to 2.40 percent in May from 2.30 percent in April of 2025. This dataset provides - United States Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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