100+ datasets found
  1. r

    Data from: Employment hours earnings

    • redivis.com
    Updated May 13, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Employment hours earnings [Dataset]. https://redivis.com/datasets/ymdq-1a9mgdxff
    Explore at:
    Dataset updated
    May 13, 2021
    Dataset authored and provided by
    Columbia Data Platform Demo
    Time period covered
    Jan 1, 1939 - Nov 1, 2020
    Description

    The table Employment hours earnings is part of the dataset Bureau of Labor Statistics Unemployment and Inflation, available at https://redivis.com/datasets/ymdq-1a9mgdxff. It contains 7900689 rows across 7 variables.

  2. F

    Noncyclical Rate of Unemployment

    • fred.stlouisfed.org
    json
    Updated Jul 1, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2024). Noncyclical Rate of Unemployment [Dataset]. https://fred.stlouisfed.org/series/NROU
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 1, 2024
    License

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

    Description

    Graph and download economic data for Noncyclical Rate of Unemployment (NROU) from Q1 1949 to Q4 2034 about NAIRU, long-term, projection, unemployment, rate, and USA.

  3. Volcker Shock: federal funds, unemployment and inflation rates 1979-1987

    • statista.com
    Updated Sep 2, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Volcker Shock: federal funds, unemployment and inflation rates 1979-1987 [Dataset]. https://www.statista.com/statistics/1338105/volcker-shock-interest-rates-unemployment-inflation/
    Explore at:
    Dataset updated
    Sep 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1979 - 1987
    Area covered
    United States
    Description

    The Volcker Shock was a period of historically high interest rates precipitated by Federal Reserve Chairperson Paul Volcker's decision to raise the central bank's key interest rate, the Fed funds effective rate, during the first three years of his term. Volcker was appointed chairperson of the Fed in August 1979 by President Jimmy Carter, as replacement for William Miller, who Carter had made his treasury secretary. Volcker was one of the most hawkish (supportive of tighter monetary policy to stem inflation) members of the Federal Reserve's committee, and quickly set about changing the course of monetary policy in the U.S. in order to quell inflation. The Volcker Shock is remembered for bringing an end to over a decade of high inflation in the United States, prompting a deep recession and high unemployment, and for spurring on debt defaults among developing countries in Latin America who had borrowed in U.S. dollars.

    Monetary tightening and the recessions of the early '80s

    Beginning in October 1979, Volcker's Fed tightened monetary policy by raising interest rates. This decision had the effect of depressing demand and slowing down the U.S. economy, as credit became more expensive for households and businesses. The Fed funds rate, the key overnight rate at which banks lend their excess reserves to each other, rose as high as 17.6 percent in early 1980. The rate was allowed to fall back below 10 percent following this first peak, however, due to worries that inflation was not falling fast enough, a second cycle of monetary tightening was embarked upon starting in August of 1980. The rate would reach its all-time peak in June of 1981, at 19.1 percent. The second recession sparked by these hikes was far deeper than the 1980 recession, with unemployment peaking at 10.8 percent in December 1980, the highest level since The Great Depression. This recession would drive inflation to a low point during Volcker's terms of 2.5 percent in August 1983.

    The legacy of the Volcker Shock

    By the end of Volcker's terms as Fed Chair, inflation was at a manageable rate of around four percent, while unemployment had fallen under six percent, as the economy grew and business confidence returned. While supporters of Volcker's actions point to these numbers as proof of the efficacy of his actions, critics have claimed that there were less harmful ways that inflation could have been brought under control. The recessions of the early 1980s are cited as accelerating deindustrialization in the U.S., as manufacturing jobs lost in 'rust belt' states such as Michigan, Ohio, and Pennsylvania never returned during the years of recovery. The Volcker Shock was also a driving factor behind the Latin American debt crises of the 1980s, as governments in the region defaulted on debts which they had incurred in U.S. dollars. Debates about the validity of using interest rate hikes to get inflation under control have recently re-emerged due to the inflationary pressures facing the U.S. following the Coronavirus pandemic and the Federal Reserve's subsequent decision to embark on a course of monetary tightening.

  4. r

    Unemployment cps series

    • redivis.com
    Updated May 13, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Columbia Data Platform Demo (2021). Unemployment cps series [Dataset]. https://redivis.com/datasets/ymdq-1a9mgdxff
    Explore at:
    Dataset updated
    May 13, 2021
    Dataset authored and provided by
    Columbia Data Platform Demo
    Time period covered
    1947 - 2020
    Description

    Series unemployment statistics from Current Population Survey (CPS)

  5. r

    Consumer price index

    • redivis.com
    Updated May 13, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Columbia Data Platform Demo (2024). Consumer price index [Dataset]. https://redivis.com/datasets/ymdq-1a9mgdxff
    Explore at:
    Dataset updated
    May 13, 2021
    Dataset authored and provided by
    Columbia Data Platform Demo
    Time period covered
    Jan 1, 1997 - Nov 1, 2020
    Description

    The table Consumer price index is part of the dataset Bureau of Labor Statistics Unemployment and Inflation, available at https://redivis.com/datasets/ymdq-1a9mgdxff. It contains 874887 rows across 13 variables.

  6. N

    Norway NO: NAIRU: Equilibrium Unemployment Rate

    • ceicdata.com
    Updated Jun 15, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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
    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
    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

  7. J

    Japan JP: NAIRU: Equilibrium Unemployment Rate

    • ceicdata.com
    Updated Feb 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2025). Japan JP: NAIRU: Equilibrium Unemployment Rate [Dataset]. https://www.ceicdata.com/en/japan/nonaccelerating-inflation-rate-of-unemployment-nairu-forecast-oecd-member-annual/jp-nairu-equilibrium-unemployment-rate
    Explore at:
    Dataset updated
    Feb 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
    Japan
    Variables measured
    Unemployment
    Description

    Japan JP: NAIRU: Equilibrium Unemployment Rate data was reported at 2.858 % in 2022. This records a decrease from the previous number of 2.886 % for 2021. Japan JP: NAIRU: Equilibrium Unemployment Rate data is updated yearly, averaging 3.318 % from Dec 1985 (Median) to 2022, with 38 observations. The data reached an all-time high of 4.375 % in 2003 and a record low of 2.257 % in 1985. Japan JP: 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 Japan – Table JP.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. d

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

    • b2find.dkrz.de
    Updated Oct 29, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2023). The Possible Unemployment Cost of Average Inflation Below a Credible Target. A Replication Study of Svensson (American Economic Journal: Macroeconomics, 2015). Data. - Dataset - B2FIND [Dataset]. https://b2find.dkrz.de/dataset/4e51281b-ed63-5ea0-bd9c-a1d90cfbd8c6
    Explore at:
    Dataset updated
    Oct 29, 2023
    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.

  9. F

    Natural Rate of Unemployment (Short-Term) (DISCONTINUED)

    • fred.stlouisfed.org
    json
    Updated Feb 1, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2021). Natural Rate of Unemployment (Short-Term) (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/graph/?g=dzNj
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Feb 1, 2021
    License

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

    Description

    Graph and download economic data for Natural Rate of Unemployment (Short-Term) (DISCONTINUED) from Q1 1949 to Q4 2031 about NAIRU, short-term, projection, unemployment, rate, and USA.

  10. w

    Relationship between unemployment and inflation in Iraq

    • workwithdata.com
    Updated Mar 19, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Work With Data (2025). Relationship between unemployment and inflation in Iraq [Dataset]. https://www.workwithdata.com/charts/countries-yearly?chart=scatter&f=1&fcol0=country&fop0=%3D&fval0=Iraq&x=inflation&y=unemployment_pct
    Explore at:
    Dataset updated
    Mar 19, 2025
    Dataset authored and provided by
    Work With Data
    License

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

    Area covered
    Iraq
    Description

    This scatter chart displays unemployment (% of total labor force) against inflation (annual %) and is filtered where the country is Iraq. The data is about countries per year.

  11. H

    Inflation/Unemployment Regimes and the Instability of the Phillips Curve...

    • dataverse.harvard.edu
    • data.niaid.nih.gov
    Updated Nov 26, 2009
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Paul Ormerod; Bridget Rosewell; Peter Phelps (2009). Inflation/Unemployment Regimes and the Instability of the Phillips Curve [Dataset] [Dataset]. http://doi.org/10.7910/DVN/91YCEE
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 26, 2009
    Dataset provided by
    Harvard Dataverse
    Authors
    Paul Ormerod; Bridget Rosewell; Peter Phelps
    License

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

    Time period covered
    1871 - 2009
    Description

    Using the statistical technique of fuzzy clustering, regimes of inflation and unemployment are explored for the United States, the United Kingdom and Germany between 1871 and 2009. We identify for each country three distinct regimes in inflation/unemployment space. There is considerable similarity across the countries in both the regimes themselves and in the timings of the transitions between regimes. However, the typical rates of inflation and unemployment experienced in the regimes are substantially different. Further, even within a given regime, the results of the clustering show persistent fluctuations in the degree of attachment to that regime of inflation/unemployment observations over time. The economic implications of the results are that, first, the inflation/unemployment relationship experiences from time to time major shifts. Second, that it is also inherently unstable even in the short run. It is likely that the factors which govern the inflation/unemployment trade off are so multi-dimensional that it is hard to see that there is a way of identifying periods of short run Phillips curves which can be assigned to particular historical periods with any degree of accuracy or predictability. The short run may be so short as to be meaningless. The analysis shows that reliance on any kind of trade off between inflation and unemployment for policy purposes is entirely misplaced.

  12. I

    Ireland IE: NAIRU: Unemployment Gap

    • ceicdata.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com, 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
    Explore at:
    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
    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

  13. Development of stagflation indicators 1970-2023

    • statista.com
    Updated Jul 4, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Development of stagflation indicators 1970-2023 [Dataset]. https://www.statista.com/statistics/987154/stagflation-indicators/
    Explore at:
    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Stagflation (stagnation and inflation in one word) depicts a time period when an economy is not only suffering from a recession (declining GDP), but high unemployment and inflation rates as well. Usually unemployment and inflation are inversely related, which makes stagflation a rare occurrence. It first happened in the 1970s, when OPEC put an oil embargo on the United States, resulting in oil prices skyrocketing to three times the standard value at that time. As of September 2023, the price of oil fell by 20 percent in comparison to last year after having increased by 76 perent as a result of Russian invasion of Ukraine. The has been signs of stagflation in some countries through 2022 and 2023, but falling inflation rates indicate that the worst has been avoided.

  14. I

    Israel IL: NAIRU: Unemployment Gap

    • ceicdata.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com, Israel IL: NAIRU: Unemployment Gap [Dataset]. https://www.ceicdata.com/en/israel/nonaccelerating-inflation-rate-of-unemployment-nairu-forecast-oecd-member-annual/il-nairu-unemployment-gap
    Explore at:
    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
    Israel
    Variables measured
    Unemployment
    Description

    Israel IL: NAIRU: Unemployment Gap data was reported at -0.815 % in 2022. This records an increase from the previous number of -1.343 % for 2021. Israel IL: NAIRU: Unemployment Gap data is updated yearly, averaging -0.153 % from Dec 1995 (Median) to 2022, with 28 observations. The data reached an all-time high of 1.692 % in 2008 and a record low of -1.831 % in 2003. Israel IL: 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 Israel – Table IL.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

  15. Polish inflation and unemployment rate - predict

    • kaggle.com
    zip
    Updated May 30, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Nick (2023). Polish inflation and unemployment rate - predict [Dataset]. https://www.kaggle.com/datasets/swagician/polish-inflation-and-unemployment-rate-predict/discussion
    Explore at:
    zip(13456 bytes)Available download formats
    Dataset updated
    May 30, 2023
    Authors
    Nick
    Description

    Dataset

    This dataset was created by Nick

    Contents

  16. Inflation rate in Indonesia 2029

    • statista.com
    Updated Nov 29, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Inflation rate in Indonesia 2029 [Dataset]. https://www.statista.com/statistics/320156/inflation-rate-in-indonesia/
    Explore at:
    Dataset updated
    Nov 29, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Indonesia
    Description

    This statistic shows the average inflation rate in Indonesia from 1987 to 2023, with projections up until 2029. In 2023, the average inflation rate in Indonesia amounted to about 3.71 percent compared to the previous year.

    The global financial crisis and economic consequences

    The global economy underwent a drastic slump due to the global financial crisis in 2008, which caused a continued increase in the general level of prices of goods and services; the highest recorded global inflation of the past decade took place in 2008, when the global inflation rate increased by more than 6.4 percent in comparison with the previous year. As for Indonesia, the country's inflation rate amounted to around 9.8 percent in comparison to the previous year.

    The financial crisis also impacted the global unemployment rate. In 2009, the global unemployment rate jumped to around 6.2 percent, and it is not expected to recover to pre-crisis levels anytime soon. The financial crisis impact on the Indonesian economy was slightly more severe: In 2008, the unemployment rate in Indonesia was around 8.4 percent, much higher than the global unemployment rate for the same year. It has, however, now decreased significantly, even though it is still not below the global level, the country itself has reached lower levels than before the crisis.

    After the financial crisis, the Indonesian government implemented several economic reforms and increased exports in order to strengthen the economy. In 2011, Indonesia exported goods with a value of more than 200 billion U.S. dollars. The main export partners of Indonesia are Japan, China and Singapore. As a result of increased exports, the Indonesian economy was able to grow, making Indonesia one of the twenty nations in the world with the largest gross domestic product in 2015.

  17. Total employment figures and unemployment rate in the United States...

    • statista.com
    Updated Jul 4, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Total employment figures and unemployment rate in the United States 1980-2025 [Dataset]. https://www.statista.com/statistics/269959/employment-in-the-united-states/
    Explore at:
    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, it was estimated that over 161 million Americans were in some form of employment, while 3.64 percent of the total workforce was unemployed. This was the lowest unemployment rate since the 1950s, although these figures are expected to rise in 2023 and beyond. 1980s-2010s Since the 1980s, the total United States labor force has generally risen as the population has grown, however, the annual average unemployment rate has fluctuated significantly, usually increasing in times of crisis, before falling more slowly during periods of recovery and economic stability. For example, unemployment peaked at 9.7 percent during the early 1980s recession, which was largely caused by the ripple effects of the Iranian Revolution on global oil prices and inflation. Other notable spikes came during the early 1990s; again, largely due to inflation caused by another oil shock, and during the early 2000s recession. The Great Recession then saw the U.S. unemployment rate soar to 9.6 percent, following the collapse of the U.S. housing market and its impact on the banking sector, and it was not until 2016 that unemployment returned to pre-recession levels. 2020s 2019 had marked a decade-long low in unemployment, before the economic impact of the Covid-19 pandemic saw the sharpest year-on-year increase in unemployment since the Great Depression, and the total number of workers fell by almost 10 million people. Despite the continuation of the pandemic in the years that followed, alongside the associated supply-chain issues and onset of the inflation crisis, unemployment reached just 3.67 percent in 2022 - current projections are for this figure to rise in 2023 and the years that follow, although these forecasts are subject to change if recent years are anything to go by.

  18. r

    Data from: Chained consumer price index

    • redivis.com
    Updated May 13, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Columbia Data Platform Demo (2021). Chained consumer price index [Dataset]. https://redivis.com/datasets/ymdq-1a9mgdxff
    Explore at:
    Dataset updated
    May 13, 2021
    Dataset authored and provided by
    Columbia Data Platform Demo
    Time period covered
    Dec 1, 1999 - Nov 1, 2020
    Description

    The table Chained consumer price index is part of the dataset Bureau of Labor Statistics Unemployment and Inflation, available at https://redivis.com/datasets/ymdq-1a9mgdxff. It contains 7672 rows across 13 variables.

  19. w

    Relationship between unemployment and inflation in Middle Africa

    • workwithdata.com
    Updated Nov 9, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Work With Data (2024). Relationship between unemployment and inflation in Middle Africa [Dataset]. https://www.workwithdata.com/charts/countries?chart=scatter&f=1&fcol0=region&fop0=%3D&fval0=Middle+Africa&x=inflation&y=unemployment_pct
    Explore at:
    Dataset updated
    Nov 9, 2024
    Dataset authored and provided by
    Work With Data
    License

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

    Area covered
    Central Africa
    Description

    This scatter chart displays unemployment (% of total labor force) against inflation (annual %) and is filtered where the region is Middle Africa. The data is about countries.

  20. C

    Czech Republic CZ: NAIRU: Equilibrium Unemployment Rate

    • ceicdata.com
    Updated May 15, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2018). Czech Republic CZ: NAIRU: Equilibrium Unemployment Rate [Dataset]. https://www.ceicdata.com/en/czech-republic/nonaccelerating-inflation-rate-of-unemployment-nairu-forecast-oecd-member-annual/cz-nairu-equilibrium-unemployment-rate
    Explore at:
    Dataset updated
    May 15, 2018
    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
    Czechia
    Variables measured
    Unemployment
    Description

    Czech Republic CZ: NAIRU: Equilibrium Unemployment Rate data was reported at 3.891 % in 2022. This records an increase from the previous number of 3.831 % for 2021. Czech Republic CZ: NAIRU: Equilibrium Unemployment Rate data is updated yearly, averaging 6.107 % from Dec 1995 (Median) to 2022, with 28 observations. The data reached an all-time high of 7.608 % in 1999 and a record low of 3.831 % in 2020. Czech Republic CZ: 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 Czech Republic – Table CZ.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

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Employment hours earnings [Dataset]. https://redivis.com/datasets/ymdq-1a9mgdxff

Data from: Employment hours earnings

Related Article
Explore at:
Dataset updated
May 13, 2021
Dataset authored and provided by
Columbia Data Platform Demo
Time period covered
Jan 1, 1939 - Nov 1, 2020
Description

The table Employment hours earnings is part of the dataset Bureau of Labor Statistics Unemployment and Inflation, available at https://redivis.com/datasets/ymdq-1a9mgdxff. It contains 7900689 rows across 7 variables.

Search
Clear search
Close search
Google apps
Main menu