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

    • coronavirus-resources.esri.com
    • prep-response-portal.napsgfoundation.org
    • +7more
    Updated Aug 16, 2022
    + more versions
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    Esri (2022). Bureau of Labor Statistics Monthly Unemployment (latest 14 months) [Dataset]. https://coronavirus-resources.esri.com/maps/993b8c64a67a4c6faa44a91846547786
    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: April 2025 (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: June 24th, 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 2023 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.As of the March 17th, 2025 release, BLS now reports data for 9 planning regions in Connecticut rather than the 8 previous counties.To better understand the different labor force statistics included in this map, see the diagram below from BLS:

  2. U

    Labor force participation

    • dataverse-staging.rdmc.unc.edu
    tsv, txt
    Updated Apr 29, 2022
    + more versions
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    Carolina Tracker; Carolina Tracker (2022). Labor force participation [Dataset]. http://doi.org/10.15139/S3/1TFL7N
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    tsv(231983), tsv(531), txt(13538)Available download formats
    Dataset updated
    Apr 29, 2022
    Dataset provided by
    UNC Dataverse
    Authors
    Carolina Tracker; Carolina Tracker
    License

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

    Description

    This dataset from the Bureau of Labor Statistics provides monthly estimates regarding total employment and unemployment, which together comprise the labor force. Our data extract lists all data published for North Carolina’s counties from January 2019 to the present. This dataset is a comprehensive nationwide representation using estimates derived from the national Current Population Survey (CPS) and American Community Survey 5-year estimates. No disaggregations by demographic or worker characteristics are included in the labor force estimate. Time series reports for each variable (employment, unemployment, and labor force) are available for each geography (county) using the BLS multi-screen data tool. Preliminary estimates are released within 30 days of each month and finalized within another 30 days, resulting in a 2-month data lag. The data is available from BLS for a variety of geographic areas, including states, MSAs, counties, cities and towns, and other census regions.

  3. Bureau of Labor Statistics (BLS) Monthly Unemployment (latest 14 months) –...

    • performance-data-integration-space-fdot.hub.arcgis.com
    Updated Aug 10, 2023
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    Florida Department of Transportation (2023). Bureau of Labor Statistics (BLS) Monthly Unemployment (latest 14 months) – Boundaries [Dataset]. https://performance-data-integration-space-fdot.hub.arcgis.com/datasets/bureau-of-labor-statistics-bls-monthly-unemployment-latest-14-months-boundaries
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    Dataset updated
    Aug 10, 2023
    Dataset authored and provided by
    Florida Department of Transportationhttps://www.fdot.gov/
    Area covered
    Earth
    Description

    The Florida Department of Transportation (FDOT or Department) has identified processed, authoritative datasets to support the preliminary spatial analysis of equity considerations. These processed datasets are available at larger geographies, such as the United States Census Bureau tract or county-level; however, additional raw datasets from other sources can be used to identify equity considerations. Most of this raw data is available at the Census block group, parcel, or point-level—but additional processing is required to make suitable for spatial analysis. For more information, contact Dana Reiding with the FDOT Forecasting and Trends Office (FTO). The Bureau of Labor Statistics (BLS) Monthly Unemployment (latest 14 months) – Boundaries layer is identified to support the equity community indicator of employment. This layer shows BLS unemployment figures for the latest available fourteen (14) months of data available. The data is shown at the nationwide, state, and county geography levels. The layer is owned and managed by the ESRI Demographics Team. Data Link: https://www.arcgis.com/home/item.html?id=993b8c64a67a4c6faa44a91846547786 Available Geography Levels: Country, State, County Owner/Managed By: ESRI Demographics FDOT Point of Contact: Dana Reiding, ManagerForecasting and Trends OfficeFlorida Department of TransportationDana.Reiding@dot.state.fl.us605 Suwannee Street, Tallahassee, Florida 32399850-414-4719

  4. d

    Injuries and Illness - DATA PUB.

    • datadiscoverystudio.org
    Updated Jun 1, 2017
    + more versions
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    (2017). Injuries and Illness - DATA PUB. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/71f7491502ba41e5a96662942be86569/html
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    Dataset updated
    Jun 1, 2017
    Description

    description: The Injuries, Illnesses, and Fatalities (IIF) program provides annual information on the rate and number of work related injuries, illnesses, and fatal injuries, and how these statistics vary by incident, industry, geography, occupation, and other characteristics. More information and details about the data provided can be found at http://bls.gov/iif/Data.htm.; abstract: The Injuries, Illnesses, and Fatalities (IIF) program provides annual information on the rate and number of work related injuries, illnesses, and fatal injuries, and how these statistics vary by incident, industry, geography, occupation, and other characteristics. More information and details about the data provided can be found at http://bls.gov/iif/Data.htm.

  5. A

    County

    • data.amerigeoss.org
    csv, esri rest +4
    Updated Jan 7, 2020
    + more versions
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    ESRI (2020). County [Dataset]. https://data.amerigeoss.org/id/dataset/county11
    Explore at:
    csv, html, zip, kml, geojson, esri restAvailable download formats
    Dataset updated
    Jan 7, 2020
    Dataset provided by
    ESRI
    Description

    This layer shows median earnings by occupational group. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Only full-time year-round workers included. Median earnings is based on earnings in past 12 months of survey. Occupation Groups based on Bureau of Labor Statistics (BLS)' Standard Occupation Classification (SOC).


    This layer is symbolized to show median earnings of the full-time, year-round civilian employed population. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right.

    Current Vintage: 2014-2018
    ACS Table(s): B24021
    Date of API call: December 19, 2019
    National Figures: data.census.gov

    The United States Census Bureau's American Community Survey (ACS):
    This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.

    Data Note from the Census:
    Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.

    Data Processing Notes:
    • This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.
    • Boundaries come from the US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).
    • The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico
    • Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).
    • Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.
    • Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.
    • Negative values (e.g., -555555...) have been set to null. These negative values exist in the raw API data to indicate the following situations:
      • The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.
      • Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.
      • The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.
      • The estimate is controlled. A statistical test for sampling variability is not appropriate.
      • The data for this geographic area cannot be displayed because the number of sample cases is too small.
      • NOTE: any calculated percentages or counts that contain estimates that have null margins of error yield null margins of error for the calculated fields.

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Esri (2022). Bureau of Labor Statistics Monthly Unemployment (latest 14 months) [Dataset]. https://coronavirus-resources.esri.com/maps/993b8c64a67a4c6faa44a91846547786
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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: April 2025 (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: June 24th, 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 2023 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.As of the March 17th, 2025 release, BLS now reports data for 9 planning regions in Connecticut rather than the 8 previous counties.To better understand the different labor force statistics included in this map, see the diagram below from BLS:

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