100+ datasets found
  1. r

    Data from: Employment hours earnings

    • redivis.com
    Updated May 13, 2021
    + more versions
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    Employment hours earnings [Dataset]. https://redivis.com/datasets/ymdq-1a9mgdxff
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    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. Total employment figures and unemployment rate in the United States...

    • statista.com
    Updated Jul 4, 2024
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    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/
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    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.

  3. F

    Employment Cost Index: Wages and Salaries: Private Industry Workers

    • fred.stlouisfed.org
    json
    Updated Jan 31, 2025
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    (2025). Employment Cost Index: Wages and Salaries: Private Industry Workers [Dataset]. https://fred.stlouisfed.org/series/ECIWAG
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    jsonAvailable download formats
    Dataset updated
    Jan 31, 2025
    License

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

    Description

    Graph and download economic data for Employment Cost Index: Wages and Salaries: Private Industry Workers (ECIWAG) from Q1 2001 to Q4 2024 about cost, ECI, salaries, workers, private industries, wages, private, employment, industry, inflation, indexes, and USA.

  4. Monthly inflation rate and Federal Reserve interest rate in the U.S....

    • statista.com
    Updated Mar 3, 2025
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    Statista (2025). Monthly inflation rate and Federal Reserve interest rate in the U.S. 2018-2025 [Dataset]. https://www.statista.com/statistics/1312060/us-inflation-rate-federal-reserve-interest-rate-monthly/
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    Dataset updated
    Mar 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2018 - Jan 2024
    Area covered
    United States
    Description

    The inflation rate in the United States declined significantly between June 2022 and January 2025, despite rising inflationary pressures towards the end of 2024. The peak inflation rate was recorded in June 2022, at 9.1 percent. In August 2023, the Federal Reserve's interest rate hit its highest level during the observed period, at 5.33 percent, and remained unchanged until September 2024, when the Federal Reserve implemented its first rate cut since September 2021. By January 2025, the rate dropped to 4.33 percent, signalling a shift in monetary policy. What is the Federal Reserve interest rate? The Federal Reserve interest rate, or the federal funds rate, is the rate at which banks and credit unions lend to and borrow from each other. It is one of the Federal Reserve's key tools for maintaining strong employment rates, stable prices, and reasonable interest rates. The rate is determined by the Federal Reserve and adjusted eight times a year, though it can be changed through emergency meetings during times of crisis. The Fed doesn't directly control the interest rate but sets a target rate. It then uses open market operations to influence rates toward this target. Ways of measuring inflation Inflation is typically measured using several methods, with the most common being the Consumer Price Index (CPI). The CPI tracks the price of a fixed basket of goods and services over time, providing a measure of the price changes consumers face. At the end of 2023, the CPI in the United States was 158.11 percent, up from 153.12 a year earlier. A more business-focused measure is the producer price index (PPI), which represents the costs of firms.

  5. F

    Producer Price Index by Commodity: Employment Services: Employment Placement...

    • fred.stlouisfed.org
    json
    Updated Mar 13, 2025
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    (2025). Producer Price Index by Commodity: Employment Services: Employment Placement Services [Dataset]. https://fred.stlouisfed.org/series/WPU461101
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    jsonAvailable download formats
    Dataset updated
    Mar 13, 2025
    License

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

    Description

    Graph and download economic data for Producer Price Index by Commodity: Employment Services: Employment Placement Services (WPU461101) from Mar 2009 to Feb 2025 about services, commodities, employment, PPI, inflation, price index, indexes, price, and USA.

  6. U.S. inflation rate versus wage growth 2020-2024

    • statista.com
    • flwrdeptvarieties.store
    Updated Feb 11, 2025
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    U.S. inflation rate versus wage growth 2020-2024 [Dataset]. https://www.statista.com/statistics/1351276/wage-growth-vs-inflation-us/
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    Dataset updated
    Feb 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2020 - Dec 2024
    Area covered
    United States
    Description

    In December 2024, inflation amounted to 2.9 percent, while wages grew by 4.2 percent. The inflation rate has not exceeded the rate of wage growth since January 2023. Inflation in 2022 The high rates of inflation in 2022 meant that the real terms value of American wages took a hit. Many Americans report feelings of concern over the economy and a worsening of their financial situation. The inflation situation in the United States is one that was experienced globally in 2022, mainly due to COVID-19 related supply chain constraints and disruption due to the Russian invasion of Ukraine. The monthly inflation rate for the U.S. reached a 40-year high in June 2022 at 9.1 percent, and annual inflation for 2022 reached eight percent. Without appropriate wage increases, Americans will continue to see a decline in their purchasing power. Wages in the U.S. Despite the level of wage growth reaching 6.7 percent in the summer of 2022, it has not been enough to curb the impact of even higher inflation rates. The federally mandated minimum wage in the United States has not increased since 2009, meaning that individuals working minimum wage jobs have taken a real terms pay cut for the last twelve years. There are discrepancies between states - the minimum wage in California can be as high as 15.50 U.S. dollars per hour, while a business in Oklahoma may be as low as two U.S. dollars per hour. However, even the higher wage rates in states like California and Washington may be lacking - one analysis found that if minimum wage had kept up with productivity, the minimum hourly wage in the U.S. should have been 22.88 dollars per hour in 2021. Additionally, the impact of decreased purchasing power due to inflation will impact different parts of society in different ways with stark contrast in average wages due to both gender and race.

  7. U.S. projected Consumer Price Index 2010-2029

    • statista.com
    Updated Aug 21, 2024
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    Statista (2024). U.S. projected Consumer Price Index 2010-2029 [Dataset]. https://www.statista.com/statistics/244993/projected-consumer-price-index-in-the-united-states/
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    Dataset updated
    Aug 21, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the U.S. Consumer Price Index was 309.42, and is projected to increase to 352.27 by 2029. The base period was 1982-84. The monthly CPI for all urban consumers in the U.S. can be accessed here. After a time of high inflation, the U.S. inflation rateis projected fall to two percent by 2027. United States Consumer Price Index ForecastIt is projected that the CPI will continue to rise year over year, reaching 325.6 in 2027. The Consumer Price Index of all urban consumers in previous years was lower, and has risen every year since 1992, except in 2009, when the CPI went from 215.30 in 2008 to 214.54 in 2009. The monthly unadjusted Consumer Price Index was 296.17 for the month of August in 2022. The U.S. CPI measures changes in the price of consumer goods and services purchased by households and is thought to reflect inflation in the U.S. as well as the health of the economy. The U.S. Bureau of Labor Statistics calculates the CPI and defines it as, "a measure of the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services." The BLS records the price of thousands of goods and services month by month. They consider goods and services within eight main categories: food and beverage, housing, apparel, transportation, medical care, recreation, education, and other goods and services. They aggregate the data collected in order to compare how much it would cost a consumer to buy the same market basket of goods and services within one month or one year compared with the previous month or year. Given that the CPI is used to calculate U.S. inflation, the CPI influences the annual adjustments of many financial institutions in the United States, both private and public. Wages, social security payments, and pensions are all affected by the CPI.

  8. w

    Full employment without inflation : manifesto for a governed economy

    • workwithdata.com
    Updated Jan 10, 2022
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    Work With Data (2022). Full employment without inflation : manifesto for a governed economy [Dataset]. https://www.workwithdata.com/object/full-employment-without-inflation-manifesto-for-a-governed-economy-book-by-tim-hazledine-0000
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    Dataset updated
    Jan 10, 2022
    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

    Description

    Full employment without inflation : manifesto for a governed economy is a book. It was written by Tim Hazledine and published by Macmillan in 1984.

  9. U.S. Employment Cost Index Q2 2013- Q2 2024

    • statista.com
    Updated Nov 29, 2024
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    Statista (2024). U.S. Employment Cost Index Q2 2013- Q2 2024 [Dataset]. https://www.statista.com/statistics/215652/employment-cost-index-in-the-us-by-quarter/
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    Dataset updated
    Nov 29, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The Employment Cost Index (ECI) measures the change in the cost of labor, free from the influence of employment shifts among occupations and industries. The Employment Cost Index is based on figures from December 2005. In the third quarter of 2024, the ECI came to 166.8, indicating an increase of labor costs of 0.9 percent.

  10. Replication dataset and background notes for PIIE PB 21-19, Reifschneider,...

    • piie.com
    Updated Aug 16, 2021
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    David Reifschneider; David Wilcox (2021). Replication dataset and background notes for PIIE PB 21-19, Reifschneider, David, and David Wilcox, Another reason to raise the Fed’s inflation target: An employment and output boom, PIIE Policy Brief, August 2021. [Dataset]. https://www.piie.com/publications/policy-briefs/another-reason-raise-feds-inflation-target-employment-and-output-boom
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    Dataset updated
    Aug 16, 2021
    Dataset provided by
    Peterson Institute for International Economicshttp://www.piie.com/
    Authors
    David Reifschneider; David Wilcox
    Description

    This data package includes the underlying data, programs, documentation, and background notes for Another reason to raise the Fed’s inflation target: An employment and output boom, PIIE Policy Brief 21-19.

    If you use the data, please cite as: Reifschneider, David, and David Wilcox, Another reason to raise the Fed’s inflation target: An employment and output boom, PIIE Policy Brief 21-19, August 2021, Peterson Institute for International Economics.

  11. w

    Relationship between self-employed workers and inflation in Denmark

    • workwithdata.com
    Updated Nov 9, 2024
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    Work With Data (2024). Relationship between self-employed workers and inflation in Denmark [Dataset]. https://www.workwithdata.com/charts/countries-yearly?chart=scatter&f=1&fcol0=country&fop0=%3D&fval0=Denmark&x=inflation&y=self_employed_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
    Denmark
    Description

    This scatter chart displays self-employed workers (% of total employment) against inflation (annual %) and is filtered where the country is Denmark. The data is about countries per year.

  12. T

    Japan Inflation Rate

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +17more
    csv, excel, json, xml
    Updated Mar 21, 2025
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    TRADING ECONOMICS (2025). Japan Inflation Rate [Dataset]. https://tradingeconomics.com/japan/inflation-cpi
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    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Mar 21, 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, 1958 - Feb 28, 2025
    Area covered
    Japan
    Description

    Inflation Rate in Japan decreased to 3.70 percent in February from 4 percent in January of 2025. This dataset provides the latest reported value for - Japan Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  13. Inflation rate in South Korea 2029

    • statista.com
    Updated Nov 29, 2024
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    Statista (2024). Inflation rate in South Korea 2029 [Dataset]. https://www.statista.com/statistics/377275/inflation-rate-in-south-korea/
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    Dataset updated
    Nov 29, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Korea
    Description

    This statistic shows the average inflation rate in South Korea from 1987 to 2023, with projections up until 2029. In 2023, the average inflation rate in South Korea amounted to about 3.59 percent compared to the previous year. For further info, see the South Korean GDP.

    South Korea's low inflation

    High rates of inflation are undesireable, just like low rates, and South Korea is currently struggling with the latter. South Korea is actually an affluent country and currently ranks 11th on the list of the 20 countries with the largest GDP, but its inflation rate is subject to concern, as it is currently at levels below 2 percent.

    However, there is still hope that inflation will return to stable rates between 3 and 4.5 percent in the next few years, and there are also signs that consumer confidence is rising after two years of weak economic growth and sluggish domestic consumption and investment. The unemployment rate remains low with levels staying in the range of 3 percent - close to full employment – yet there are still obstacles including an aging population and a heavy reliance on exports. At present, South Korea is attempting to balance its reliance on exports by expanding the service industry, especially as the export market slows.

  14. U

    United States Non Farm Payroll Nowcast: sa: MoM: Contribution: Inflation...

    • ceicdata.com
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    CEICdata.com, United States Non Farm Payroll Nowcast: sa: MoM: Contribution: Inflation Survey: Breakeven Inflation: 5-Year [Dataset]. https://www.ceicdata.com/en/united-states/ceic-nowcast-employment-non-farm-payroll/non-farm-payroll-nowcast-sa-mom-contribution-inflation-survey-breakeven-inflation-5year
    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 23, 2024 - Mar 10, 2025
    Area covered
    United States
    Description

    United States Non Farm Payroll Nowcast: sa: MoM: Contribution: Inflation Survey: Breakeven Inflation: 5-Year data was reported at 4.515 % in 10 Mar 2025. This records an increase from the previous number of 4.105 % for 03 Mar 2025. United States Non Farm Payroll Nowcast: sa: MoM: Contribution: Inflation Survey: Breakeven Inflation: 5-Year data is updated weekly, averaging 2.561 % from Jan 2020 (Median) to 10 Mar 2025, with 268 observations. The data reached an all-time high of 27.973 % in 14 Jun 2021 and a record low of 0.053 % in 12 Jul 2021. United States Non Farm Payroll Nowcast: sa: MoM: Contribution: Inflation Survey: Breakeven Inflation: 5-Year data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Employment: Non Farm Payroll.

  15. w

    Relationship between self-employed workers and inflation in Southern Asia...

    • workwithdata.com
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    Work With Data, Relationship between self-employed workers and inflation in Southern Asia and in 2023 [Dataset]. https://www.workwithdata.com/charts/countries-yearly?chart=scatter&f=2&fcol0=region&fcol1=date&fop0=%3D&fop1=%3D&fval0=Southern+Asia&fval1=2023&x=inflation&y=self_employed_pct
    Explore at:
    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
    South Asia
    Description

    This scatter chart displays self-employed workers (% of total employment) against inflation (annual %) and is filtered where the region is Southern Asia and the date is 2023. The data is about countries per year.

  16. w

    Relationship between inflation and self-employed workers in Ireland

    • workwithdata.com
    Updated Nov 9, 2024
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    Work With Data (2024). Relationship between inflation and self-employed workers in Ireland [Dataset]. https://www.workwithdata.com/charts/countries-yearly?chart=scatter&f=1&fcol0=country&fop0=%3D&fval0=Ireland&x=self_employed_pct&y=inflation
    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

    Description

    This scatter chart displays inflation (annual %) against self-employed workers (% of total employment) and is filtered where the country is Ireland. The data is about countries per year.

  17. w

    Relationship between self-employed workers and inflation in Equatorial...

    • workwithdata.com
    Updated Jan 27, 2025
    + more versions
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    Work With Data (2025). Relationship between self-employed workers and inflation in Equatorial Guinea [Dataset]. https://www.workwithdata.com/charts/countries-yearly?chart=scatter&f=1&fcol0=country&fop0=%3D&fval0=Equatorial+Guinea&x=inflation&y=self_employed_pct
    Explore at:
    Dataset updated
    Jan 27, 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
    Equatorial Guinea
    Description

    This scatter chart displays self-employed workers (% of total employment) against inflation (annual %) and is filtered where the country is Equatorial Guinea. The data is about countries per year.

  18. U

    United States Non Farm Payroll Nowcast: sa: MoM: Contribution: Inflation...

    • ceicdata.com
    Updated Mar 10, 2025
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    CEICdata.com (2025). United States Non Farm Payroll Nowcast: sa: MoM: Contribution: Inflation Survey: Breakeven Inflation: 10-Year [Dataset]. https://www.ceicdata.com/en/united-states/ceic-nowcast-employment-non-farm-payroll/non-farm-payroll-nowcast-sa-mom-contribution-inflation-survey-breakeven-inflation-10year
    Explore at:
    Dataset updated
    Mar 10, 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 23, 2024 - Mar 10, 2025
    Area covered
    United States
    Description

    United States Non Farm Payroll Nowcast: sa: MoM: Contribution: Inflation Survey: Breakeven Inflation: 10-Year data was reported at 2.968 % in 10 Mar 2025. This records a decrease from the previous number of 3.002 % for 03 Mar 2025. United States Non Farm Payroll Nowcast: sa: MoM: Contribution: Inflation Survey: Breakeven Inflation: 10-Year data is updated weekly, averaging 2.056 % from Jan 2020 (Median) to 10 Mar 2025, with 268 observations. The data reached an all-time high of 25.829 % in 14 Feb 2022 and a record low of 0.120 % in 11 May 2020. United States Non Farm Payroll Nowcast: sa: MoM: Contribution: Inflation Survey: Breakeven Inflation: 10-Year data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Employment: Non Farm Payroll.

  19. N

    West Brooklyn, IL annual median income by work experience and sex dataset:...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
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    Neilsberg Research (2025). West Brooklyn, IL annual median income by work experience and sex dataset: Aged 15+, 2010-2023 (in 2023 inflation-adjusted dollars) // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/west-brooklyn-il-income-by-gender/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 27, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Illinois, West Brooklyn
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates. The dataset covers the years 2010 to 2023, representing 14 years of data. To analyze income differences between genders (male and female), we conducted an initial data analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series (R-CPI-U-RS) based on current methodologies. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in West Brooklyn. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

    Key observations: Insights from 2023

    Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In West Brooklyn, the median income for all workers aged 15 years and older, regardless of work hours, was $54,643 for males and $27,727 for females.

    These income figures highlight a substantial gender-based income gap in West Brooklyn. Women, regardless of work hours, earn 51 cents for each dollar earned by men. This significant gender pay gap, approximately 49%, underscores concerning gender-based income inequality in the village of West Brooklyn.

    - Full-time workers, aged 15 years and older: In West Brooklyn, among full-time, year-round workers aged 15 years and older, males earned a median income of $61,250, while females earned $125,625

    Surprisingly, within the subset of full-time workers, women earn a higher income than men, earning 2.05 dollars for every dollar earned by men. This suggests that within full-time roles, womens median incomes significantly surpass mens, contrary to broader workforce trends.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

    Gender classifications include:

    • Male
    • Female

    Employment type classifications include:

    • Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
    • Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

    Variables / Data Columns

    • Year: This column presents the data year. Expected values are 2010 to 2023
    • Male Total Income: Annual median income, for males regardless of work hours
    • Male FT Income: Annual median income, for males working full time, year-round
    • Male PT Income: Annual median income, for males working part time
    • Female Total Income: Annual median income, for females regardless of work hours
    • Female FT Income: Annual median income, for females working full time, year-round
    • Female PT Income: Annual median income, for females working part time

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for West Brooklyn median household income by race. You can refer the same here

  20. Inflation Reduction Act Energy Communities

    • zenodo.org
    • data.subak.org
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    pdf, zip
    Updated Jul 15, 2024
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    Cecelia Isaac; Cecelia Isaac (2024). Inflation Reduction Act Energy Communities [Dataset]. http://doi.org/10.5281/zenodo.7192016
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    zip, pdfAvailable download formats
    Dataset updated
    Jul 15, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Cecelia Isaac; Cecelia Isaac
    License

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

    Description

    The Inflation Reduction Act of 2022 (IRA) became law on August 8, 2022. Under the law, new qualifying renewable and/or carbon-free electricity generation projects constructed in certain areas of the US, called energy communities, are eligible for bonus worth an additional 10% to the value of the production tax credit or a 10 percentage point increase in the value of the investment tax credit. The IRA does not explicitly map or list these specific communities. Instead, eligible communities are defined by a series of qualifications:

    1. a brownfield site,
    2. a metropolitan statistical area (MSA) or non-metropolitan statistical area with either (a) 0.17% or greater employment or (b) 25% or greater local tax revenues related to the extraction, processing, transport, or storage of coal, oil, or natural gas; and an unemployment rate at or above the national average for the previous year, or
    3. a census tract containing or adjacent to (a) a coal mine closed after December 31, 1999 or (b) a coal-fired electric generating unit retired after December 31, 2009.

    These maps and data layers contain GIS data for coal mines, coal-fired power plants, fossil energy related employment, and brownfield sites. Each record represents a point, tract or metropolitan statistical area and non-metropolitan statistical area with attributes including plant type, operating information, GEOID, etc. The input data used includes:

    1. Brownfields – Source: EPA. No analysis was performed on this data layer. However, tract polygon layers have a column denoting brownfield presence (0 for no brownfield site, 1 if the tract contains a brownfield somewhere within the polygon).
    2. Eligible Employment MSAs (“Final_Employment_Qualifying_MSAs”) – Source: US Census County Business Patterns. MSAs and non-MSA regions with employment over 0.17% in the fossil fuel industry (defined here as NAICS codes 211, 2121, 213, 23712, 324, 4247, and 486) and unemployment greater than or equal to 3.9% (the average national unemployment rate in 2021, according to the Bureau of Labor Statistics).

    --Possibly Eligible MSAs (“FossilFuel_Employment_Qualifying_MSAs”) are MSA and non-MSA regions that meet or exceed the 0.17% employment in the fossil fuel industry threshold but do not exceed the unemployment threshold.

    --Relevant columns include:

    a) SUM_nhgis0: Total employment in 2020.

    b) SUM_nhgis1: Total unemployment in 2020.

    c) P_Unemp: Percent unemployment in 2020.

    d) Q_Unemp: Boolean column indicating if the MSA or non-MSA’s unemployment rate is at or above the national average of 3.9%.

    e) FF_Qual: Boolean column indicating if the MSA or non-MSA had employment in the fossil fuel industry at or above 0.17% in the past 11 years.

    f) final_Qual: Boolean column indicating if an MSA or non-MSA qualifies for both unemployment rate and fossil fuel employment under the IRA.

    1. Retired Power Plants – Source: EIA via HFLID. Qualifying power plants were selected by use of coal in at least one generator, and if they were retired (RET_DATE) on or after January 1, 2010. This data goes through December 2021.

    --Adjacent tract data was derived by Cecelia Isaac using ESRI ArcGIS Pro.

    1. Abandoned Coal Mines – Source: MSHA. Mines labeled “Abandoned”, “Abandoned and Sealed” or “NonProducing” between January 1, 2000 and September 2022.

    --Adjacent tract data was derived by Cecelia Isaac using ESRI ArcGIS Pro.

    5) US State Borders– Source: IPUMS NHGIS.

    Also included here are polygon shapefiles for Onshore Wind and Solar Candidate Project Areas from Princeton REPEAT. These files have been updated to include columns related to the energy communities.

    New columns include:

    1. CoalPlantTract: Boolean column indicating if the CPA is within a tract that qualifies because of a retired coal plant.
    2. CoalMineTract: Boolean column indicating if the CPA is within a tract that qualifies because of a closed coal mine.
    3. FossilFuelEmp: Boolean column indicating if the CPA is within an MSA or non-MSA with greater than or equal to 0.17% employment in the fossil fuel industry.
    4. UnempQualification: Boolean column indicating if the CPA is within an MSA or non-MSA with greater than or equal to 0.17% employment in the fossil fuel industry.
    5. MSA_non_to: The code of the MSA or non-MSA area that contains the CPA.
    6. P_Unemp: The percent unemployment of the MSA or non-MSA that contains the CPA in 2021.
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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.

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