8 datasets found
  1. US Weekly Unemployment Data

    • data.amerigeoss.org
    • hub.arcgis.com
    esri rest, html
    Updated May 12, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ESRI (2020). US Weekly Unemployment Data [Dataset]. https://data.amerigeoss.org/es/dataset/us-weekly-unemployment-data
    Explore at:
    esri rest, htmlAvailable download formats
    Dataset updated
    May 12, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Description
    Unemployment Insurance Weekly Claims Data - 2020 year to date (Updated thru 04/25/2020)

    This map contain Unemployment Insurance Weekly Claims data, from the United State Department of Labor, Employment & Training Administration, starting on 01/01/2020 and updated weekly. These data are used in current economic analysis of unemployment trends in the nation, and in each state.

    Initial claims is a measure of emerging unemployment. It counts the number of new persons claiming unemployment benefits and it is released after one week.

    Continued claims is a measure of the total number of persons claiming unemployment benefits, and it is released one week later than the initial claims.

    The data is organized by state, with the following attributes (as defined by the United State Department of Labor) repeated for each week
    • Week/date when claims were filed
    • Number of initial claims
    • Week/date reflected in the data week
    • Number of continued claims
    • Total covered employment
    • Insured unemployment rate
    The latest information on unemployment insurance claims can be found here.

    TECHNICAL NOTES
    These data represent the weekly unemployment insurance (UI) claims reported by each state's unemployment insurance program offices. These claims may be used for monitoring workload volume, assessing state program operations and for assessing labor market conditions. States initially report claims directly taken by the state liable for the benefit payments, regardless of where the claimant who filed the claim resided. These are the basis for the advance initial claims and continued claims reported each week. These data come from ETA 538, Advance Weekly Initial and Continued Claims Report. The following week initial claims and continued claims are revised based on a second reporting by states that reflect the claimants by state of residence. These data come from the ETA 539, Weekly Claims and Extended Benefits Trigger Data Report.

    A. Initial Claims
    An initial claim is a claim filed by an unemployed individual after a separation from an employer. The claimant requests a determination of basic eligibility for the UI program. When an initial claim is filed with a state, certain programmatic activities take place and these result in activity counts including the count of initial claims. The count of U.S. initial claims for unemployment insurance is a leading economic indicator because it is an indication of emerging labor market conditions in the country. However, these are weekly administrative data which are difficult to seasonally adjust, making the series subject to some volatility.

    B. Continued Weeks Claimed
    A person who has already filed an initial claim and who has experienced a week of unemployment then files a continued claim to claim benefits for that week of unemployment. Continued claims are also referred to as insured unemployment. The count of U.S. continued weeks claimed is also a good indicator of labor market conditions. Continued claims reflect the current number of insured unemployed workers filing for UI benefits in the nation. While continued claims are not a leading indicator (they roughly coincide with economic cycles at their peaks and lag at cycle troughs), they provide confirming evidence of the direction of the U.S. economy

    C. Seasonal Adjustments and Annual Revisions
    Over the course of a year, the weekly changes in the levels of initial claims and continued claims undergo regularly occurring fluctuations. These fluctuations may result from seasonal changes in weather, major holidays, the opening and closing of schools, or other similar events. Because these seasonal events follow a more or less regular pattern each year, their influence on the level of a series can be tempered by adjusting for regular seasonal variation. These adjustments make trend and cycle developments easier to spot. At the beginning of each calendar year, the Bureau of Labor Statistics provides the Employment and Training Administration (ETA) with a set of seasonal factors to apply to the unadjusted data during that year. Concurrent with the implementation and release of the new seasonal factors, ETA incorporates revisions to the UI claims historical series caused by updates to the unadjusted data.
  2. Total employment figures and unemployment rate in the United States...

    • statista.com
    • ai-chatbox.pro
    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.

  3. F

    Unemployment Rate - 30-34 Yrs.

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Unemployment Rate - 30-34 Yrs. [Dataset]. https://fred.stlouisfed.org/series/LNU04024933
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

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

    Description

    Graph and download economic data for Unemployment Rate - 30-34 Yrs. (LNU04024933) from Jan 1981 to Jun 2025 about 30 to 34 years, unemployment, rate, and USA.

  4. m

    Data from: Research Document: Jaouad Karfali Economic Cycle Analysis with...

    • data.mendeley.com
    Updated Feb 26, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Karfali Jaouad (2025). Research Document: Jaouad Karfali Economic Cycle Analysis with Numerical Time Cycles [Dataset]. http://doi.org/10.17632/wv7dcm5834.1
    Explore at:
    Dataset updated
    Feb 26, 2025
    Authors
    Karfali Jaouad
    License

    Attribution-NonCommercial 3.0 (CC BY-NC 3.0)https://creativecommons.org/licenses/by-nc/3.0/
    License information was derived automatically

    Description

    Description: This dataset contains historical economic data spanning from 1871 to 2024, used in Jaouad Karfali’s research on Economic Cycle Analysis with Numerical Time Cycles. The study aims to improve economic forecasting accuracy through the 9-year cycle model, which demonstrates superior predictive capabilities compared to traditional economic indicators.

    Dataset Contents: The dataset includes a comprehensive range of economic indicators used in the research, such as:

    USGDP_1871-2024.csv – U.S. Gross Domestic Product (GDP) data. USCPI_cleaned.csv – U.S. Consumer Price Index (CPI), cleaned and processed. USWAGE_1871-2024.csv – U.S. average wages data. EXCHANGEGLOBAL_cleaned.csv – Global exchange rates for the U.S. dollar. EXCHANGEPOUND_cleaned.csv – U.S. dollar to British pound exchange rates. INTERESTRATE_1871-2024.csv – U.S. interest rate data. UNRATE.csv – U.S. unemployment rate statistics. POPTOTUSA647NWDB.csv – U.S. total population data. Significance of the Data: This dataset serves as a foundation for a robust economic analysis of the U.S. economy over multiple decades. It was instrumental in testing the 9-year economic cycle model, which demonstrated an 85% accuracy rate in economic forecasting when compared to traditional models such as ARIMA and VAR.

    Applications:

    Economic Forecasting: Predicts a 1.5% decline in GDP in 2025, followed by a gradual recovery between 2026-2034. Economic Stability Analysis: Used for comparing forecasts with estimates from institutions like the IMF and World Bank. Academic and Institutional Research: Supports studies in economic cycles and long-term forecasting. Source & Further Information: For more details on the methodology and research findings, refer to the full paper published on SSRN:

    https://ssrn.com/author=7429208 https://orcid.org/0009-0002-9626-7289

    • Jaouad Karfali
  5. Gross domestic product (GDP) of the United States 2030

    • statista.com
    • ai-chatbox.pro
    Updated May 21, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Gross domestic product (GDP) of the United States 2030 [Dataset]. https://www.statista.com/statistics/263591/gross-domestic-product-gdp-of-the-united-states/
    Explore at:
    Dataset updated
    May 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The statistic shows the gross domestic product (GDP) of the United States from 1987 to 2024, with projections up until 2030. The gross domestic product of the United States in 2024 amounted to around 29.18 trillion U.S. dollars. The United States and the economy The United States’ economy is by far the largest in the world; a status which can be determined by several key factors, one being gross domestic product: A look at the GDP of the main industrialized and emerging countries shows a significant difference between US GDP and the GDP of China, the runner-up in the ranking, as well as the followers Japan, Germany and France. Interestingly, it is assumed that China will have surpassed the States in terms of GDP by 2030, but for now, the United States is among the leading countries in almost all other relevant rankings and statistics, trade and employment for example. See the U.S. GDP growth rate here. Just like in other countries, the American economy suffered a severe setback when the economic crisis occurred in 2008. The American economy entered a recession caused by the collapsing real estate market and increasing unemployment. Despite this, the standard of living is considered quite high; life expectancy in the United States has been continually increasing slightly over the past decade, the unemployment rate in the United States has been steadily recovering and decreasing since the crisis, and the Big Mac Index, which represents the global prices for a Big Mac, a popular indicator for the purchasing power of an economy, shows that the United States’ purchasing power in particular is only slightly lower than that of the euro area.

  6. Permanent (PERM) and Labor Condition Application (H-1B, H-1B1, and E-3) Visa...

    • data.cambridgema.gov
    application/rdfxml +5
    Updated Jan 29, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    United States Department of Labor Office of Foreign Labor Certification (2025). Permanent (PERM) and Labor Condition Application (H-1B, H-1B1, and E-3) Visa Programs Applications [Dataset]. https://data.cambridgema.gov/Economic-Development/Permanent-PERM-and-Labor-Condition-Application-H-1/fmbp-nphb
    Explore at:
    csv, xml, json, tsv, application/rdfxml, application/rssxmlAvailable download formats
    Dataset updated
    Jan 29, 2025
    Dataset provided by
    United States Department of Laborhttp://www.dol.gov/
    Authors
    United States Department of Labor Office of Foreign Labor Certification
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    Data about applications submitted by employers requesting visas to employ foreign citizens in Cambridge, MA and received by the U.S. Department of Labor through the Labor Condition Application (LCA) and the Permanent Labor Certification (PERM) programs. The LCA program covers H-1B, H-1B1 and E-3 visas.

    Each row in the data set represents a single employer application. In the LCA program this application can request one or more positions. Employers can make multiple applications during a single year.

  7. c

    Survey of Consumer Finances, 1971

    • archive.ciser.cornell.edu
    • icpsr.umich.edu
    Updated Feb 19, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Economic Behavior Program (2020). Survey of Consumer Finances, 1971 [Dataset]. http://doi.org/10.6077/5p9n-m716
    Explore at:
    Dataset updated
    Feb 19, 2020
    Dataset authored and provided by
    Economic Behavior Program
    Variables measured
    Family, Other
    Description

    This data collection is one in a series of financial surveys of consumers conducted annually since 1946. In a nationally representative sample, the head of each family unit was interviewed. Starting in 1966, in order to examine the effect that increased car ownership was having on American families, the data collected in this series were organized so that they could be analyzed by both family unit and car unit. The 1971 data are based on car unit. Survey questions regarding automobiles included number of drivers and car owners in the family, make and model of each car, purchase method, car financing and installment debt, and expectations of car purchases in the coming year. Other questions in the 1971 survey covered the respondent's attitudes toward national economic conditions (e.g., the effect of United States relations with Vietnam, Cambodia, and in the Middle East, inflation and unemployment on United States business) and price activity, as well as the respondent's own financial situation. Other questions examined the family unit head's occupation, and the nature and amount of the family's income, debts, liquid assets, changes in liquid assets, savings, investment preferences, and actual and expected purchases of major durables. In addition, the survey explored the subject of housing and neighborhood characteristics. Questions in this survey also focused on credit card use and purchases. Personal data include age and education of head, household composition, political affiliation, and occupation. (Source: downloaded from ICPSR 7/13/10)

    Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR07451.v2. We highly recommend using the ICPSR version as have made this dataset available in multiple data formats.

  8. GDP loss due to COVID-19, by economy 2020

    • statista.com
    • ai-chatbox.pro
    Updated May 30, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Jose Sanchez (2025). GDP loss due to COVID-19, by economy 2020 [Dataset]. https://www.statista.com/topics/6139/covid-19-impact-on-the-global-economy/
    Explore at:
    Dataset updated
    May 30, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Jose Sanchez
    Description

    In 2020, global gross domestic product declined by 6.7 percent as a result of the coronavirus (COVID-19) pandemic outbreak. In Latin America, overall GDP loss amounted to 8.5 percent.

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

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
ESRI (2020). US Weekly Unemployment Data [Dataset]. https://data.amerigeoss.org/es/dataset/us-weekly-unemployment-data
Organization logo

US Weekly Unemployment Data

Explore at:
esri rest, htmlAvailable download formats
Dataset updated
May 12, 2020
Dataset provided by
Esrihttp://esri.com/
Description
Unemployment Insurance Weekly Claims Data - 2020 year to date (Updated thru 04/25/2020)

This map contain Unemployment Insurance Weekly Claims data, from the United State Department of Labor, Employment & Training Administration, starting on 01/01/2020 and updated weekly. These data are used in current economic analysis of unemployment trends in the nation, and in each state.

Initial claims is a measure of emerging unemployment. It counts the number of new persons claiming unemployment benefits and it is released after one week.

Continued claims is a measure of the total number of persons claiming unemployment benefits, and it is released one week later than the initial claims.

The data is organized by state, with the following attributes (as defined by the United State Department of Labor) repeated for each week
  • Week/date when claims were filed
  • Number of initial claims
  • Week/date reflected in the data week
  • Number of continued claims
  • Total covered employment
  • Insured unemployment rate
The latest information on unemployment insurance claims can be found here.

TECHNICAL NOTES
These data represent the weekly unemployment insurance (UI) claims reported by each state's unemployment insurance program offices. These claims may be used for monitoring workload volume, assessing state program operations and for assessing labor market conditions. States initially report claims directly taken by the state liable for the benefit payments, regardless of where the claimant who filed the claim resided. These are the basis for the advance initial claims and continued claims reported each week. These data come from ETA 538, Advance Weekly Initial and Continued Claims Report. The following week initial claims and continued claims are revised based on a second reporting by states that reflect the claimants by state of residence. These data come from the ETA 539, Weekly Claims and Extended Benefits Trigger Data Report.

A. Initial Claims
An initial claim is a claim filed by an unemployed individual after a separation from an employer. The claimant requests a determination of basic eligibility for the UI program. When an initial claim is filed with a state, certain programmatic activities take place and these result in activity counts including the count of initial claims. The count of U.S. initial claims for unemployment insurance is a leading economic indicator because it is an indication of emerging labor market conditions in the country. However, these are weekly administrative data which are difficult to seasonally adjust, making the series subject to some volatility.

B. Continued Weeks Claimed
A person who has already filed an initial claim and who has experienced a week of unemployment then files a continued claim to claim benefits for that week of unemployment. Continued claims are also referred to as insured unemployment. The count of U.S. continued weeks claimed is also a good indicator of labor market conditions. Continued claims reflect the current number of insured unemployed workers filing for UI benefits in the nation. While continued claims are not a leading indicator (they roughly coincide with economic cycles at their peaks and lag at cycle troughs), they provide confirming evidence of the direction of the U.S. economy

C. Seasonal Adjustments and Annual Revisions
Over the course of a year, the weekly changes in the levels of initial claims and continued claims undergo regularly occurring fluctuations. These fluctuations may result from seasonal changes in weather, major holidays, the opening and closing of schools, or other similar events. Because these seasonal events follow a more or less regular pattern each year, their influence on the level of a series can be tempered by adjusting for regular seasonal variation. These adjustments make trend and cycle developments easier to spot. At the beginning of each calendar year, the Bureau of Labor Statistics provides the Employment and Training Administration (ETA) with a set of seasonal factors to apply to the unadjusted data during that year. Concurrent with the implementation and release of the new seasonal factors, ETA incorporates revisions to the UI claims historical series caused by updates to the unadjusted data.
Search
Clear search
Close search
Google apps
Main menu