83 datasets found
  1. Inflation and Unemployment Rate

    • kaggle.com
    Updated Sep 26, 2022
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    leesstephanie (2022). Inflation and Unemployment Rate [Dataset]. https://www.kaggle.com/datasets/leesstephanie/inflation-and-unemployment-rate
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 26, 2022
    Dataset provided by
    Kaggle
    Authors
    leesstephanie
    Description

    The monthly inflation rate and unemployment rate in Belgium, France, Germany, Italy, Poland, and Spain from 2020 to 2021. I simply put the data in one file since you need to download them separately if you get them from the link. These economics indicator might help for the Kaggle competition Tabular Playground Series September 2022.

    Here are the data sources for the inflation rate and the unemployment rate

  2. T

    United States Unemployment Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 3, 2025
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    TRADING ECONOMICS (2025). United States Unemployment Rate [Dataset]. https://tradingeconomics.com/united-states/unemployment-rate
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Jul 3, 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, 1948 - Jun 30, 2025
    Area covered
    United States
    Description

    Unemployment Rate in the United States decreased to 4.10 percent in June from 4.20 percent in May of 2025. This dataset provides the latest reported value for - United States Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  3. US Inflation and Unemployment

    • console.cloud.google.com
    Updated Jul 21, 2018
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    https://console.cloud.google.com/marketplace/browse?filter=partner:U.S.%20Bureau%20of%20Labor%20Statistics&inv=1&invt=Ab1DWw (2018). US Inflation and Unemployment [Dataset]. https://console.cloud.google.com/marketplace/product/bls-public-data/cpi-unemployement
    Explore at:
    Dataset updated
    Jul 21, 2018
    Dataset provided by
    Googlehttp://google.com/
    Description

    This dataset includes economic statistics on inflation, prices, unemployment, and pay & benefits provided by the Bureau of Labor Statistics (BLS). This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

  4. Bureau of Labor Statistics Unemployment and Inflation

    • redivis.com
    • columbia.redivis.com
    application/jsonl +7
    Updated Dec 14, 2020
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    Columbia Data Platform Demo (2020). Bureau of Labor Statistics Unemployment and Inflation [Dataset]. https://redivis.com/datasets/ymdq-1a9mgdxff
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    arrow, avro, csv, parquet, spss, application/jsonl, stata, sasAvailable download formats
    Dataset updated
    Dec 14, 2020
    Dataset provided by
    Redivis Inc.
    Authors
    Columbia Data Platform Demo
    Time period covered
    Jan 1, 1939 - Dec 31, 2020
    Description

    Abstract

    This dataset includes economic statistics on inflation, prices, unemployment, and pay & benefits provided by the Bureau of Labor Statistics (BLS)

    Documentation

    Update frequency: Monthly Dataset source: U.S. Bureau of Labor Statistics Terms of use: This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset. See the GCP Marketplace listing for more details and sample queries: https://console.cloud.google.com/marketplace/details/bls-public-data/bureau-of-labor-statistics

  5. T

    China Unemployment Rate

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 16, 2025
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    TRADING ECONOMICS (2025). China Unemployment Rate [Dataset]. https://tradingeconomics.com/china/unemployment-rate
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Jul 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
    Sep 30, 2002 - Jun 30, 2025
    Area covered
    China
    Description

    Unemployment Rate in China remained unchanged at 5 percent in June. This dataset provides - China Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  6. T

    Brazil Unemployment Rate

    • tradingeconomics.com
    • fr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 27, 2025
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    TRADING ECONOMICS (2025). Brazil Unemployment Rate [Dataset]. https://tradingeconomics.com/brazil/unemployment-rate
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    Jun 27, 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
    Mar 31, 2012 - May 31, 2025
    Area covered
    Brazil
    Description

    Unemployment Rate in Brazil decreased to 6.20 percent in May from 6.60 percent in April of 2025. This dataset provides the latest reported value for - Brazil Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  7. Ireland IE: NAIRU: Equilibrium Unemployment Rate

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2024). Ireland IE: NAIRU: Equilibrium Unemployment Rate [Dataset]. https://www.ceicdata.com/en/ireland/nonaccelerating-inflation-rate-of-unemployment-nairu-forecast-oecd-member-annual/ie-nairu-equilibrium-unemployment-rate
    Explore at:
    Dataset updated
    Feb 15, 2025
    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
    Ireland, Ireland
    Variables measured
    Unemployment
    Description

    Ireland IE: NAIRU: Equilibrium Unemployment Rate data was reported at 7.152 % in 2022. This records an increase from the previous number of 7.136 % for 2021. Ireland IE: NAIRU: Equilibrium Unemployment Rate data is updated yearly, averaging 8.407 % from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 12.280 % in 1990 and a record low of 7.136 % in 2021. Ireland IE: NAIRU: Equilibrium Unemployment Rate 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 Ireland – Table IE.OECD.EO: Non-Accelerating Inflation Rate of Unemployment (NAIRU): Forecast: OECD Member: Annual. NAIRU - Equilibrium unemployment rate The equilibrium unemployment rate (code NAIRU) is estimated using a Kalman filter in a Phillips curve framework which assumes inflation expectations are anchored at the central bank’s inflation target . The NAIRU is then projected forward from the last estimated period using a simple autoregressive rule, exceptionally modified to account for recent labour market reforms, until the end of the forecasting horizon More details on methodology in Rusticelli E., Turner D. and M. C. Cavalleri (2015), Incorporating anchored inflation expectations in the Phillips Curve and in the derivation of OECD measures of equilibrium unemployment, OECD Economics Department Working Papers No.1231 OECD, Economics Department Working Papers: Incorporating anchored inflation expectations in the Phillips Curve and in the derivation of OECD measures of equilibrium unemployment:https://www.oecd-ilibrary.org/economics/incorporating-anchored-inflation-expectations-in-the-phillips-curve-and-in-the-derivation-of-oecd-measures-of-equilibrium-unemployment_5js1gmq551wd-en

  8. Norway NO: NAIRU: Equilibrium Unemployment Rate

    • ceicdata.com
    Updated Jun 15, 2018
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    CEICdata.com (2018). Norway NO: NAIRU: Equilibrium Unemployment Rate [Dataset]. https://www.ceicdata.com/en/norway/nonaccelerating-inflation-rate-of-unemployment-nairu-forecast-oecd-member-annual/no-nairu-equilibrium-unemployment-rate
    Explore at:
    Dataset updated
    Jun 15, 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, 2011 - Dec 1, 2022
    Area covered
    Norway
    Variables measured
    Unemployment
    Description

    Norway NO: NAIRU: Equilibrium Unemployment Rate data was reported at 3.514 % in 2022. This records an increase from the previous number of 3.480 % for 2021. Norway NO: NAIRU: Equilibrium Unemployment Rate data is updated yearly, averaging 3.462 % from Dec 1985 (Median) to 2022, with 38 observations. The data reached an all-time high of 4.744 % in 1993 and a record low of 2.775 % in 1985. Norway NO: NAIRU: Equilibrium Unemployment Rate 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 Norway – Table NO.OECD.EO: Non-Accelerating Inflation Rate of Unemployment (NAIRU): Forecast: OECD Member: Annual. NAIRU - Equilibrium unemployment rate The equilibrium unemployment rate (code NAIRU) is estimated using a Kalman filter in a Phillips curve framework which assumes inflation expectations are anchored at the central bank’s inflation target . The NAIRU is then projected forward from the last estimated period using a simple autoregressive rule, exceptionally modified to account for recent labour market reforms, until the end of the forecasting horizon More details on methodology in Rusticelli E., Turner D. and M. C. Cavalleri (2015), Incorporating anchored inflation expectations in the Phillips Curve and in the derivation of OECD measures of equilibrium unemployment, OECD Economics Department Working Papers No.1231 OECD, Economics Department Working Papers: Incorporating anchored inflation expectations in the Phillips Curve and in the derivation of OECD measures of equilibrium unemployment:https://www.oecd-ilibrary.org/economics/incorporating-anchored-inflation-expectations-in-the-phillips-curve-and-in-the-derivation-of-oecd-measures-of-equilibrium-unemployment_5js1gmq551wd-en

  9. m

    Macro-economy Data

    • data.mendeley.com
    • narcis.nl
    Updated Dec 3, 2020
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    Elia Zakchona (2020). Macro-economy Data [Dataset]. http://doi.org/10.17632/dt628xp7dy.1
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    Dataset updated
    Dec 3, 2020
    Authors
    Elia Zakchona
    License

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

    Description

    This data is used for article of macroeconomic of some Asian countries in long period which explained about four Asian countries, such as Indonesia, Malaysia, Singapore, and South Korea. This data has taken from World Bank Development Indicators (WDI) database and is formed by Vector Auto Regression (VAR) model, then empirical result is executed by Granger causality model on E-views 11 program to gauge the relationship between gross domestic product, exchange rate, inflation rate, foreign direct investment, net export, government expenditures, unemployment rate, and savings. The results showed that most of gross domestic product of sample and other macro-economy variables have not causality relationship.

  10. T

    Germany Unemployment Rate

    • tradingeconomics.com
    • es.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 1, 2025
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    TRADING ECONOMICS (2025). Germany Unemployment Rate [Dataset]. https://tradingeconomics.com/germany/unemployment-rate
    Explore at:
    csv, xml, json, excelAvailable download formats
    Dataset updated
    Jul 1, 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, 1950 - Jun 30, 2025
    Area covered
    Germany
    Description

    Unemployment Rate in Germany remained unchanged at 6.30 percent in June. This dataset provides the latest reported value for - Germany Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  11. USA Bureau of Labor Statistics

    • kaggle.com
    zip
    Updated Aug 30, 2019
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    US Bureau of Labor Statistics (2019). USA Bureau of Labor Statistics [Dataset]. https://www.kaggle.com/bls/bls
    Explore at:
    zip(0 bytes)Available download formats
    Dataset updated
    Aug 30, 2019
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Authors
    US Bureau of Labor Statistics
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    The Bureau of Labor Statistics (BLS) is a unit of the United States Department of Labor. It is the principal fact-finding agency for the U.S. government in the broad field of labor economics and statistics and serves as a principal agency of the U.S. Federal Statistical System. The BLS is a governmental statistical agency that collects, processes, analyzes, and disseminates essential statistical data to the American public, the U.S. Congress, other Federal agencies, State and local governments, business, and labor representatives. Source: https://en.wikipedia.org/wiki/Bureau_of_Labor_Statistics

    Content

    Bureau of Labor Statistics including CPI (inflation), employment, unemployment, and wage data.

    Update Frequency: Monthly

    Querying BigQuery Tables

    Fork this kernel to get started.

    Acknowledgements

    https://bigquery.cloud.google.com/dataset/bigquery-public-data:bls

    https://cloud.google.com/bigquery/public-data/bureau-of-labor-statistics

    Dataset Source: http://www.bls.gov/data/

    This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

    Banner Photo by Clark Young from Unsplash.

    Inspiration

    What is the average annual inflation across all US Cities? What was the monthly unemployment rate (U3) in 2016? What are the top 10 hourly-waged types of work in Pittsburgh, PA for 2016?

  12. J

    The Possible Unemployment Cost of Average Inflation Below a Credible Target....

    • journaldata.zbw.eu
    log, stata do, xlsx
    Updated Apr 20, 2022
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    Ramy Oraby; Ramy Oraby (2022). The Possible Unemployment Cost of Average Inflation Below a Credible Target. A Replication Study of Svensson (American Economic Journal: Macroeconomics, 2015). Data. [Dataset]. http://doi.org/10.15456/j1.2021152.143135
    Explore at:
    stata do(26134), xlsx(26918), xlsx(37753), log(73494)Available download formats
    Dataset updated
    Apr 20, 2022
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    Ramy Oraby; Ramy Oraby
    License

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

    Description

    These are the replication files for Oraby (JCRE, 2022). The paper aims to replicate Svensson (American Economic Journal: Macroeconomics, 2015).

    Abstract: This paper replicates the main analysis of Svensson (2015) with some expansion to the original analysis, mainly for the United States. Overall, the replication exercise successfully confirms the conclusions of Svensson (2015). In both Sweden and the United States, empirical evidence supports the existence of a non-vertical long run Phillips curve. The slope of the long run Phillips curve recorded -0.75 in Sweden and -0.23 in the United States. While the average inflation rate in the United States was very close to its targeted level, the average inflation rate in Sweden was 0.6 percentage points below its targeted level over the sample period. The deviation of inflation rate from its targeted level in Sweden resulted in an unemployment cost equivalent to 0.8 percentage points over the sample period where the average unemployment rate recorded 7.4 percent compared with an estimated 6.6 percent had the average inflation rate been at its targeted level.

  13. L

    Lithuania LT: NAIRU: Equilibrium Unemployment Rate

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Lithuania LT: NAIRU: Equilibrium Unemployment Rate [Dataset]. https://www.ceicdata.com/en/lithuania/nonaccelerating-inflation-rate-of-unemployment-nairu-forecast-oecd-member-annual/lt-nairu-equilibrium-unemployment-rate
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    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
    Lithuania
    Variables measured
    Unemployment
    Description

    Lithuania LT: NAIRU: Equilibrium Unemployment Rate data was reported at 6.680 % in 2022. This records a decrease from the previous number of 6.683 % for 2021. Lithuania LT: NAIRU: Equilibrium Unemployment Rate data is updated yearly, averaging 7.322 % from Dec 2002 (Median) to 2022, with 21 observations. The data reached an all-time high of 9.571 % in 2011 and a record low of 5.965 % in 2002. Lithuania LT: NAIRU: Equilibrium Unemployment Rate 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 Lithuania – Table LT.OECD.EO: Non-Accelerating Inflation Rate of Unemployment (NAIRU): Forecast: OECD Member: Annual. NAIRU - Equilibrium unemployment rate The equilibrium unemployment rate (code NAIRU) is estimated using a Kalman filter in a Phillips curve framework which assumes inflation expectations are anchored at the central bank’s inflation target . The NAIRU is then projected forward from the last estimated period using a simple autoregressive rule, exceptionally modified to account for recent labour market reforms, until the end of the forecasting horizon More details on methodology in Rusticelli E., Turner D. and M. C. Cavalleri (2015), Incorporating anchored inflation expectations in the Phillips Curve and in the derivation of OECD measures of equilibrium unemployment, OECD Economics Department Working Papers No.1231 OECD, Economics Department Working Papers: Incorporating anchored inflation expectations in the Phillips Curve and in the derivation of OECD measures of equilibrium unemployment:https://www.oecd-ilibrary.org/economics/incorporating-anchored-inflation-expectations-in-the-phillips-curve-and-in-the-derivation-of-oecd-measures-of-equilibrium-unemployment_5js1gmq551wd-en

  14. What is the relationship between unemployment and inflation? (Forecast)

    • kappasignal.com
    Updated Dec 21, 2023
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    KappaSignal (2023). What is the relationship between unemployment and inflation? (Forecast) [Dataset]. https://www.kappasignal.com/2023/12/what-is-relationship-between.html
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    Dataset updated
    Dec 21, 2023
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    What is the relationship between unemployment and inflation?

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  15. S

    South Korea KR: NAIRU: Equilibrium Unemployment Rate

    • ceicdata.com
    Updated Mar 15, 2023
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    CEICdata.com (2023). South Korea KR: NAIRU: Equilibrium Unemployment Rate [Dataset]. https://www.ceicdata.com/en/korea/nonaccelerating-inflation-rate-of-unemployment-nairu-forecast-oecd-member-annual/kr-nairu-equilibrium-unemployment-rate
    Explore at:
    Dataset updated
    Mar 15, 2023
    Dataset provided by
    CEICdata.com
    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
    South Korea
    Variables measured
    Unemployment
    Description

    South Korea NAIRU: Equilibrium Unemployment Rate data was reported at 3.542 % in 2022. This records an increase from the previous number of 3.535 % for 2021. South Korea NAIRU: Equilibrium Unemployment Rate data is updated yearly, averaging 3.437 % from Dec 1985 (Median) to 2022, with 38 observations. The data reached an all-time high of 4.236 % in 1998 and a record low of 2.793 % in 1991. South Korea NAIRU: Equilibrium Unemployment Rate 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 South Korea – Table KR.OECD.EO: Non-Accelerating Inflation Rate of Unemployment (NAIRU): Forecast: OECD Member: Annual. NAIRU - Equilibrium unemployment rate The equilibrium unemployment rate (code NAIRU) is estimated using a Kalman filter in a Phillips curve framework which assumes inflation expectations are anchored at the central bank’s inflation target . The NAIRU is then projected forward from the last estimated period using a simple autoregressive rule, exceptionally modified to account for recent labour market reforms, until the end of the forecasting horizon More details on methodology in Rusticelli E., Turner D. and M. C. Cavalleri (2015), Incorporating anchored inflation expectations in the Phillips Curve and in the derivation of OECD measures of equilibrium unemployment, OECD Economics Department Working Papers No.1231 OECD, Economics Department Working Papers: Incorporating anchored inflation expectations in the Phillips Curve and in the derivation of OECD measures of equilibrium unemployment:https://www.oecd-ilibrary.org/economics/incorporating-anchored-inflation-expectations-in-the-phillips-curve-and-in-the-derivation-of-oecd-measures-of-equilibrium-unemployment_5js1gmq551wd-en

  16. T

    Argentina Unemployment Rate

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 19, 2025
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    TRADING ECONOMICS (2025). Argentina Unemployment Rate [Dataset]. https://tradingeconomics.com/argentina/unemployment-rate
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Jun 19, 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, 2002 - Mar 31, 2025
    Area covered
    Argentina
    Description

    Unemployment Rate in Argentina increased to 7.90 percent in the first quarter of 2025 from 6.40 percent in the fourth quarter of 2024. This dataset provides - Argentina Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  17. T

    Mexico Unemployment Rate

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 30, 2025
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    TRADING ECONOMICS (2025). Mexico Unemployment Rate [Dataset]. https://tradingeconomics.com/mexico/unemployment-rate
    Explore at:
    excel, xml, csv, jsonAvailable 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
    May 31, 1994 - May 31, 2025
    Area covered
    Mexico
    Description

    Unemployment Rate in Mexico increased to 2.70 percent in May from 2.50 percent in April of 2025. This dataset provides the latest reported value for - Mexico Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  18. J

    Estimating the Natural Rate of Unemployment and Testing the Natural Rate...

    • journaldata.zbw.eu
    .mks, txt
    Updated Dec 8, 2022
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    Michael K. Salemi; Michael K. Salemi (2022). Estimating the Natural Rate of Unemployment and Testing the Natural Rate Hypothesis (replication data) [Dataset]. http://doi.org/10.15456/jae.2022314.0706867051
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    .mks(37128), .mks(1552), txt(2057), .mks(40148)Available download formats
    Dataset updated
    Dec 8, 2022
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    Michael K. Salemi; Michael K. Salemi
    License

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

    Description

    How should one measure the natural rate of unemployment? This paper proposes a systems procedure as an alternative to NAIRU. The natural rate is treated as an unobserved state variable in a system that includes measurement equations for the unemployment rate, the rate of wage growth and the rate of inflation. The model is derived from a version of the wage bargaining model of Blanchard and embodies a version of the natural rate hypothesis. The model is estimated by embedding the Kalman filter within the full-information maximum likelihood procedure. For US data, the estimated model implies substantial post-war variation in the natural rate and a negative, but weak, effect of inflation surprises on unemployment.

  19. f

    Data from: Decomposing the misery index: A dynamic approach

    • tandf.figshare.com
    xls
    Updated May 30, 2023
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    Ivan K. Cohen; Fabrizio Ferretti; Bryan McIntosh (2023). Decomposing the misery index: A dynamic approach [Dataset]. http://doi.org/10.6084/m9.figshare.1270345.v3
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    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Taylor & Francis
    Authors
    Ivan K. Cohen; Fabrizio Ferretti; Bryan McIntosh
    License

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

    Description

    The misery index (the unweighted sum of unemployment and inflation rates) was probably the first attempt to develop a single statistic to measure the level of a population’s economic malaise. In this letter, we develop a dynamic approach to decompose the misery index using two basic relations of modern macroeconomics: the expectations-augmented Phillips curve and Okun’s law. Our reformulation of the misery index is closer in spirit to Okun’s idea. However, we are able to offer an improved version of the index, mainly based on output and unemployment. Specifically, this new Okun’s index measures the level of economic discomfort as a function of three key factors: (1) the misery index in the previous period; (2) the output gap in growth rate terms; and (3) cyclical unemployment. This dynamic approach differs substantially from the standard one utilised to develop the misery index, and allow us to obtain an index with five main interesting features: (1) it focuses on output, unemployment and inflation; (2) it considers only objective variables; (3) it allows a distinction between short-run and long-run phenomena; (4) it places more importance on output and unemployment rather than inflation; and (5) it weights recessions more than expansions.

  20. Ireland IE: NAIRU: Unemployment Gap

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). Ireland IE: NAIRU: Unemployment Gap [Dataset]. https://www.ceicdata.com/en/ireland/nonaccelerating-inflation-rate-of-unemployment-nairu-forecast-oecd-member-annual/ie-nairu-unemployment-gap
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    Dataset updated
    Dec 15, 2024
    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
    Ireland, Ireland
    Variables measured
    Unemployment
    Description

    Ireland IE: NAIRU: Unemployment Gap data was reported at -0.968 % in 2022. This records a decrease from the previous number of -0.568 % for 2021. Ireland IE: NAIRU: Unemployment Gap data is updated yearly, averaging -0.765 % from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 4.071 % in 2001 and a record low of -6.848 % in 2012. Ireland IE: NAIRU: Unemployment Gap 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 Ireland – Table IE.OECD.EO: Non-Accelerating Inflation Rate of Unemployment (NAIRU): Forecast: OECD Member: Annual. GAPUNR - Unemployment gap Difference of nairu and unemployment rate OECD calculation, see OECD Economic Outlook, Database Inventory OECD Economic Outlook, Database Inventory:https://www.oecd.org/eco/outlook/Database_Inventory.pdf

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leesstephanie (2022). Inflation and Unemployment Rate [Dataset]. https://www.kaggle.com/datasets/leesstephanie/inflation-and-unemployment-rate
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Inflation and Unemployment Rate

for countries included in Tabular Playground Series September 2022

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CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Sep 26, 2022
Dataset provided by
Kaggle
Authors
leesstephanie
Description

The monthly inflation rate and unemployment rate in Belgium, France, Germany, Italy, Poland, and Spain from 2020 to 2021. I simply put the data in one file since you need to download them separately if you get them from the link. These economics indicator might help for the Kaggle competition Tabular Playground Series September 2022.

Here are the data sources for the inflation rate and the unemployment rate

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