5 datasets found

  1. US Weekly Unemployment Data

    • data.amerigeoss.org
    • hub.arcgis.com
    esri rest, html
    Updated May 12, 2020
    + more versions
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    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. Registered unemployment; Dec’88/Febr’89 - April 2010/Juni 2010

    • data.wu.ac.at
    • ckan.mobidatalab.eu
    • +2more
    atom feed, json
    Updated Jul 13, 2018
    + more versions
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    Centraal Bureau voor de Statistiek (2018). Registered unemployment; Dec’88/Febr’89 - April 2010/Juni 2010 [Dataset]. https://data.wu.ac.at/schema/data_overheid_nl/M2U5YWM5NTgtZmQzYy00NDg4LWE3YjctOWE0YmZlMWZhMGVh
    Explore at:
    atom feed, jsonAvailable download formats
    Dataset updated
    Jul 13, 2018
    Dataset provided by
    Statistics Netherlands
    License

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

    Area covered
    c5e28cb1ab7d2939bf138de96b876b1179ed8a6c
    Description

    This table contains figures on the not seasonally adjusted registered unemployment and the seasonally adjusted registered unemployment.

    Data available from: December 1988/February 1989

    Status of the figures: Figures based on the LFS are always final.

    Changes as of December 1st: July 2010 Statistics Netherlands has implemented a new method for creating unemployment data. For the first time Statistics Netherlands is able to publish monthly figures about unemployment. In order to fit quarterly and yearly figures based on the LFS to these new unemployment data, the weighing method of the LFS has been improved. Because of this all quarterly and yearly figures have been revised from 2001. The years before 2001 are not revised, for these years the same figures are used that were already published. For the tables on the registered unemployment this new method means that it is no longer possible to publish monthly figures based on three-month-averages as was done before. Tables, such as this table, that still contain three-month-averages on the registered unemployment are stopped and continued in new tables in which from publicationyear 2001 and onwards quarterly figures will be published.

    When will new figures be published? This table is stopped.

  3. Social security; key figures, number of benefits

    • cbs.nl
    • open.staging.dexspace.nl
    • +2more
    xml
    Updated Feb 28, 2025
    + more versions
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    Centraal Bureau voor de Statistiek (2025). Social security; key figures, number of benefits [Dataset]. https://www.cbs.nl/en-gb/figures/detail/37789eng
    Explore at:
    xmlAvailable download formats
    Dataset updated
    Feb 28, 2025
    Dataset provided by
    Statistics Netherlands
    Authors
    Centraal Bureau voor de Statistiek
    License

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

    Area covered
    The Netherlands
    Description

    This table shows actual key figures of benefits concerning labour disablement, unemployment, income support and national insurances.

    Data available from: January 1998.

    Status of the figures: The figures for the three most recent months are provisional, while the figures for the preceding months are definitive. The figures concerning income support of the three most recent months are based on an estimation and therefore provisional. After three month these figures will be replaced by definitive figures. The monthly and quarterly figures represent the situation at the end of a period; the annual figures are averages.

    Changes as of 28th February 2025: Due to a recalculation of the annual average total number of disability benefits, the annual average for 2023 has been corrected.

    Added are: - The provisional figures from December and the year 2024;

    The figures mentioned below have become final: - The figures from September 2024.

    When will new figures be published? New figures will be published in March 2025.

  4. Tech layoffs worldwide 2020-2024, by quarter

    • statista.com
    Updated Feb 4, 2025
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    Statista (2025). Tech layoffs worldwide 2020-2024, by quarter [Dataset]. https://www.statista.com/statistics/199999/worldwide-tech-layoffs-covid-19/
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    Dataset updated
    Feb 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The tech industry had a rough start to 2024. Technology companies worldwide saw a significant reduction in their workforce in the first quarter of 2024, with over 57 thousand employees being laid off. By the second quarter, layoffs impacted more than 43 thousand tech employees. In the final quarter of the year around 12 thousand employees were laid off. Layoffs impacting all global tech giants Layoffs in the global market escalated dramatically in the first quarter of 2023, when the sector saw a staggering record high of 167.6 thousand employees losing their jobs. Major tech giants such as Google, Microsoft, Meta, and IBM all contributed to this figure during this quarter. Amazon, in particular, conducted the most rounds of layoffs with the highest number of employees laid off among global tech giants. Industries most affected include the consumer, hardware, food, and healthcare sectors. Notable companies that have laid off a significant number of staff include Flink, Booking.com, Uber, PayPal, LinkedIn, and Peloton, among others. Overhiring led the trend, but will AI keep it going? Layoffs in the technology sector started following an overhiring spree during the COVID-19 pandemic. Initially, companies expanded their workforce to meet increased demand for digital services during lockdowns. However, as lockdowns ended, economic uncertainties persisted and companies reevaluated their strategies, layoffs became inevitable, resulting in a record number of 263 thousand laid off employees in the global tech sector by trhe end of 2022. Moreover, it is still unclear how advancements in artificial intelligence (AI) will impact layoff trends in the tech sector. AI-driven automation can replace manual tasks leading to workforce redundancies. Whether through chatbots handling customer inquiries or predictive algorithms optimizing supply chains, the pursuit of efficiency and cost savings may result in more tech industry layoffs in the future.

  5. Bureau of Labor Statistics Monthly Unemployment (latest 14 months)

    • ars-geolibrary-usdaars.hub.arcgis.com
    • prep-response-portal.napsgfoundation.org
    • +10more
    Updated Aug 16, 2022
    + more versions
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    Esri (2022). Bureau of Labor Statistics Monthly Unemployment (latest 14 months) [Dataset]. https://ars-geolibrary-usdaars.hub.arcgis.com/datasets/esri::bureau-of-labor-statistics-monthly-unemployment-latest-14-months
    Explore at:
    Dataset updated
    Aug 16, 2022
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This layer contains the latest 14 months of unemployment statistics from the U.S. Bureau of Labor Statistics (BLS). The data is offered at the nationwide, state, and county geography levels. Puerto Rico is included. These are not seasonally adjusted values.The layer is updated monthly with the newest unemployment statistics available from BLS. There are attributes in the layer that specify which month is associated to each statistic. Most current month: November 2024 (preliminary values at the county level)The attributes included for each month are:Unemployment rate (%)Count of unemployed populationCount of employed population in the labor forceCount of people in the labor forceData obtained from the U.S. Bureau of Labor Statistics. Data downloaded: February 3, 2025Local Area Unemployment Statistics table download: https://www.bls.gov/lau/#tablesLocal Area Unemployment FTP downloads:State and CountyNationData Notes:This layer is updated automatically when the BLS releases their most current monthly statistics. The layer always contains the most recent estimates. It is updated within days of the BLS's county release schedule. BLS releases their county statistics roughly 2 months after-the-fact. The data is joined to 2021 TIGER boundaries from the U.S. Census Bureau.Monthly values are subject to revision over time.For national values, employed plus unemployed may not sum to total labor force due to rounding.As of the January 2022 estimates released on March 18th, 2022, BLS is reporting new data for the two new census areas in Alaska - Copper River and Chugach - and historical data for the previous census area - Valdez Cordova.To better understand the different labor force statistics included in this map, see the diagram below from BLS:

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ESRI (2020). US Weekly Unemployment Data [Dataset]. https://data.amerigeoss.org/es/dataset/us-weekly-unemployment-data
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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.
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