100+ datasets found
  1. d

    Department of Labor, Office of Research (Current Employment Statistics NSA...

    • catalog.data.gov
    • data.ct.gov
    • +2more
    Updated Aug 9, 2024
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    data.ct.gov (2024). Department of Labor, Office of Research (Current Employment Statistics NSA 1990 - Current) [Dataset]. https://catalog.data.gov/dataset/department-of-labor-office-of-research-current-employment-statistics-nsa-1990-current
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    Dataset updated
    Aug 9, 2024
    Dataset provided by
    data.ct.gov
    Description

    Historical Employment Statistics 1990 - current. The Current Employment Statistics (CES) more information program provides the most current estimates of nonfarm employment, hours, and earnings data by industry (place of work) for the nation as a whole, all states, and most major metropolitan areas. The CES survey is a federal-state cooperative endeavor in which states develop state and sub-state data using concepts, definitions, and technical procedures prescribed by the Bureau of Labor Statistics (BLS). Estimates produced by the CES program include both full- and part-time jobs. Excluded are self-employment, as well as agricultural and domestic positions. In Connecticut, more than 4,000 employers are surveyed each month to determine the number of the jobs in the State. For more information please visit us at http://www1.ctdol.state.ct.us/lmi/ces/default.asp.

  2. F

    All Employees, Federal

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
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    (2025). All Employees, Federal [Dataset]. https://fred.stlouisfed.org/series/CES9091000001
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    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 All Employees, Federal (CES9091000001) from Jan 1939 to Jun 2025 about establishment survey, federal, government, employment, and USA.

  3. Wave Classification Statistical Data for US Waters

    • mhkdr.openei.org
    • data.openei.org
    • +2more
    Updated Sep 21, 2016
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    Kevin Haas; Kevin Haas (2016). Wave Classification Statistical Data for US Waters [Dataset]. http://doi.org/10.15473/1460407
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    Dataset updated
    Sep 21, 2016
    Dataset provided by
    United States Department of Energyhttp://energy.gov/
    Marine and Hydrokinetic Data Repository
    Georgia Tech Research Corporation
    Authors
    Kevin Haas; Kevin Haas
    License

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

    Area covered
    United States
    Description

    Wave statistics computed using output from the NOAA WWIII hindcast simulations, spanning thirty years from 1980 to 2009. The statistics are computed based on frequency-directional variance density spectra every three hours for 1951 locations in US waters.

  4. U.S. government - outlays of the Department of Health and Human Services...

    • statista.com
    Updated Aug 23, 2024
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    Statista (2024). U.S. government - outlays of the Department of Health and Human Services 2000-2028 [Dataset]. https://www.statista.com/statistics/200489/outlays-of-the-us-department-of-health-and-human-services-since-2000/
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    Dataset updated
    Aug 23, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The United States Department of Health and Human Services had outlays of about 1.64 trillion U.S. dollars in 2022. By 2028, the outlays of the Department of Health and Human Services are expected to increase to about 2.31 trillion U.S. dollars.

  5. US Unemployment Rate by County, 1990-2016

    • kaggle.com
    zip
    Updated May 22, 2017
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    Jay Ravaliya (2017). US Unemployment Rate by County, 1990-2016 [Dataset]. https://www.kaggle.com/jayrav13/unemployment-by-county-us
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    zip(12879595 bytes)Available download formats
    Dataset updated
    May 22, 2017
    Authors
    Jay Ravaliya
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    United States
    Description

    Context

    This is a dataset that I built by scraping the United States Department of Labor's Bureau of Labor Statistics. I was looking for county-level unemployment data and realized that there was a data source for this, but the data set itself hadn't existed yet, so I decided to write a scraper and build it out myself.

    Content

    This data represents the Local Area Unemployment Statistics from 1990-2016, broken down by state and month. The data itself is pulled from this mapping site:

    https://data.bls.gov/map/MapToolServlet?survey=la&map=county&seasonal=u

    Further, the ever-evolving and ever-improving codebase that pulled this data is available here:

    https://github.com/jayrav13/bls_local_area_unemployment

    Acknowledgements

    Of course, a huge shoutout to bls.gov and their open and transparent data. I've certainly been inspired to dive into US-related data recently and having this data open further enables my curiosities.

    Inspiration

    I was excited about building this data set out because I was pretty sure something similar didn't exist - curious to see what folks can do with it once they run with it! A curious question I had was surrounding Unemployment vs 2016 Presidential Election outcome down to the county level. A comparison can probably lead to interesting questions and discoveries such as trends in local elections that led to their most recent election outcome, etc.

    Next Steps

    Version 1 of this is as a massive JSON blob, normalized by year / month / state. I intend to transform this into a CSV in the future as well.

  6. Core Based Statistical Areas

    • catalog.data.gov
    • hub.arcgis.com
    • +1more
    Updated Aug 21, 2024
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    United States Census Bureau (USCB) (Point of Contact) (2024). Core Based Statistical Areas [Dataset]. https://catalog.data.gov/dataset/core-based-statistical-areas1
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    Dataset updated
    Aug 21, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The Core Based Statistical Areas boundaries were defined by OMB based on the 2010 Census, and the dataset was updated on August 09, 2019 from the United States Census Bureau (USCB) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Metropolitan and Micropolitan Statistical Areas are together termed Core Based Statistical Areas (CBSAs) and are defined by the Office of Management and Budget (OMB) and consist of the county or counties or equivalent entities associated with at least one urban core (urbanized area or urban cluster) of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties containing the core. Categories of CBSAs are: Metropolitan Statistical Areas, based on urbanized areas of 50,000 or more population; and Micropolitan Statistical Areas, based on urban clusters of at least 10,000 population but less than 50,000 population. The CBSA boundaries are those defined by OMB based on the 2010 Census, published in 2013, and updated in 2018.

  7. U.S. Active duty Department of Defense personnel numbers 1995-2023

    • statista.com
    Updated Jan 30, 2025
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    Statista (2025). U.S. Active duty Department of Defense personnel numbers 1995-2023 [Dataset]. https://www.statista.com/statistics/232350/us-department-of-defense-personnel-numbers/
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    Dataset updated
    Jan 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, there were 1.27 million active duty U.S. Department of Defense members, including officers and enlisted personnel. This represents a slight decrease in comparison to the previous year. Further, by 2034, it is expected that the number of military retirees in the country will reach 2.4 million.

  8. Data from: Annual Statistical Reports

    • datasets.ai
    • s.cnmilf.com
    • +1more
    33
    Updated Aug 27, 2024
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    Department of Justice (2024). Annual Statistical Reports [Dataset]. https://datasets.ai/datasets/annual-statistical-reports
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    33Available download formats
    Dataset updated
    Aug 27, 2024
    Dataset provided by
    United States Department of Justicehttp://justice.gov/
    Authors
    Department of Justice
    Description

    The annual statistical reports for the Offices of the United States Attorneys contains statistical tables displaying both national and district caseload data, covering the many priorities of the United States Attorneys in both criminal prosecution and civ

  9. Monthly Transportation Statistics

    • data.virginia.gov
    • data.bts.gov
    csv, json, rdf, xsl
    Updated Apr 16, 2025
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    U.S Department of Transportation (2025). Monthly Transportation Statistics [Dataset]. https://data.virginia.gov/dataset/monthly-transportation-statistics
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    csv, rdf, json, xslAvailable download formats
    Dataset updated
    Apr 16, 2025
    Dataset provided by
    Bureau of Transportation Statisticshttp://www.rita.dot.gov/bts
    Authors
    U.S Department of Transportation
    Description

    Monthly Transportation Statistics is a compilation of national statistics on transportation. The Bureau of Transportation Statistics brings together the latest data from across the Federal government and transportation industry. Monthly Transportation Statistics contains over 50 time series from nearly two dozen data sources.

  10. F

    All Employees: Manufacturing in Vermont

    • fred.stlouisfed.org
    json
    Updated Jun 25, 2025
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    (2025). All Employees: Manufacturing in Vermont [Dataset]. https://fred.stlouisfed.org/series/VTMFG
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 25, 2025
    License

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

    Area covered
    Vermont
    Description

    Graph and download economic data for All Employees: Manufacturing in Vermont (VTMFG) from Jan 1990 to May 2025 about VT, manufacturing, employment, and USA.

  11. a

    US Schools and School District Characteristics

    • hub.arcgis.com
    Updated Apr 15, 2021
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    ArcGIS Living Atlas Team (2021). US Schools and School District Characteristics [Dataset]. https://hub.arcgis.com/maps/1577f4b9b594482684952d448aa613c7
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    Dataset updated
    Apr 15, 2021
    Dataset authored and provided by
    ArcGIS Living Atlas Team
    Area covered
    Description

    This map shows schools, school districts, and population density throughout the US. Click on the map to learn more about the school districts and schools within an area. A few things you can learn within this map:How many public/private schools fall within the district?What type of population density lives within this district? Socioeconomic factors about the Census Tracts which fall within the district:School enrollment of under 19 by grade Children living below the poverty level Children with no internet at home Children without a working parentRace/ethnicity breakdown of the population within the districtFor more information about the data sources:Socioeconomic factors:The American Community Survey (ACS) helps us understand the population in the US. This app uses the 5-year estimates, and the data is updated annually when the U.S. Census Bureau releases the newest estimates. For detailed metadata, visit the links in the bullet points above. Current School Districts layer:The National Center for Education Statistics’ (NCES) Education Demographic and Geographic Estimate (EDGE) program develops annually updated school district boundary composite files that include public elementary, secondary, and unified school district boundaries clipped to the U.S. shoreline. School districts are single-purpose administrative units designed by state and local officials to organize and provide public education for local residents. District boundaries are collected for NCES by the U.S. Census Bureau to support educational research and program administration, and the boundaries are essential for constructing district-level estimates of the number of children in poverty.The Census Bureau’s School District Boundary Review program (SDRP) (https://www.census.gov/programs-surveys/sdrp.html) obtains the boundaries, names, and grade ranges from state officials, and integrates these updates into Census TIGER. Census TIGER boundaries include legal maritime buffers for coastal areas by default, but the NCES composite file removes these buffers to facilitate broader use and cleaner cartographic representation. The NCES EDGE program collaborates with the U.S. Census Bureau’s Education Demographic, Geographic, and Economic Statistics (EDGE) Branch to develop the composite school district files. The inputs for this data layer were developed from Census TIGER/Line and represent the most current boundaries available. For more information about NCES school district boundary data, see https://nces.ed.gov/programs/edge/Geographic/DistrictBoundaries.Private Schools layer:This Private Schools feature dataset is composed of private elementary and secondary education facilities in the United States as defined by the Private School Survey (PSS, https://nces.ed.gov/surveys/pss/), National Center for Education Statistics (NCES, https://nces.ed.gov), US Department of Education for the 2017-2018 school year. This includes all prekindergarten through 12th grade schools as tracked by the PSS. This feature class contains all MEDS/MEDS+ as approved by NGA. Complete field and attribute information is available in the ”Entities and Attributes” metadata section. Geographical coverage is depicted in the thumbnail above and detailed in the Place Keyword section of the metadata. This release includes the addition of 2675 new records, modifications to the spatial location and/or attribution of 19836 records, the removal of 254 records no longer applicable. Additionally, 10,870 records were removed that previously had a STATUS value of 2 (Unknown; not represented in the most recent PSS data) and duplicate records identified by ORNL.Public Schools layer:This Public Schools feature dataset is composed of all Public elementary and secondary education facilities in the United States as defined by the Common Core of Data (CCD, https://nces.ed.gov/ccd/ ), National Center for Education Statistics (NCES, https://nces.ed.gov ), US Department of Education for the 2017-2018 school year. This includes all Kindergarten through 12th grade schools as tracked by the Common Core of Data. Included in this dataset are military schools in US territories and referenced in the city field with an APO or FPO address. DOD schools represented in the NCES data that are outside of the United States or US territories have been omitted. This feature class contains all MEDS/MEDS+ as approved by NGA. Complete field and attribute information is available in the ”Entities and Attributes” metadata section. Geographical coverage is depicted in the thumbnail above and detailed in the Place Keyword section of the metadata. This release includes the addition of 3065 new records, modifications to the spatial location and/or attribution of 99,287 records, and removal of 2996 records not present in the NCES CCD data.WorldPop Populated Foorprint layer:This layer represents an estimate of the footprint of human settlement in 2020. It is intended as a fast-drawing cartographic layer to augment base maps and to focus a map reader's attention on the location of human population. This layer is not intended for analysis.This layer was derived from the 2020 slice of the WorldPop Population Density 2000-2020 100m and 1km layers. WorldPop modeled this population footprint based on imagery datasets and population data from national statistical organizations and the United Nations. Zooming in to very large scales will often show discrepancies between reality and this or any model. Like all data sources imagery and population counts are subject to many types of error, thus this gridded footprint contains errors of omission and commission. The imagery base maps available in ArcGIS Online were not used in WorldPop's model. Imagery only informs the model of characteristics that indicate a potential for settlement, and cannot intrinsically indicate whether any or how many people live in a building.

  12. N

    School Attendance Statistics

    • data.cityofnewyork.us
    • cloud.csiss.gmu.edu
    • +2more
    application/rdfxml +5
    Updated Mar 22, 2013
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    Department of Education (DOE) (2013). School Attendance Statistics [Dataset]. https://data.cityofnewyork.us/Education/School-Attendance-Statistics/u6fv-5dqe
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    application/rdfxml, application/rssxml, csv, json, xml, tsvAvailable download formats
    Dataset updated
    Mar 22, 2013
    Dataset authored and provided by
    Department of Education (DOE)
    Description

    Daily Attendance figures are accurate as of 4:00pm, but are not final as schools continue to submit data after we generate this preliminary report.

  13. Most popular general merchandise and department stores in the U.S. 2025

    • statista.com
    • ai-chatbox.pro
    Updated Jun 23, 2025
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    Statista (2025). Most popular general merchandise and department stores in the U.S. 2025 [Dataset]. https://www.statista.com/statistics/1306777/most-popular-department-stores-united-states/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    According to a survey run during the first quarter of 2025, ** percent of adults in the United States have a positive opinion of Costco, making it the most popular department store in this survey. Dollar Tree followed closely behind.

  14. Local Area Unemployment Statistics (LAUS), Annual Average

    • catalog.data.gov
    • s.cnmilf.com
    Updated Nov 27, 2024
    + more versions
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    California Employment Development Department (2024). Local Area Unemployment Statistics (LAUS), Annual Average [Dataset]. https://catalog.data.gov/dataset/local-area-unemployment-statistics-laus-annual-average
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    Employment Development Departmenthttp://www.edd.ca.gov/
    Description

    This dataset contains the Local Area Unemployment Statistics (LAUS), annual averages from 1990 to 2023. The Local Area Unemployment Statistics (LAUS) program is a Federal-State cooperative effort in which monthly estimates of total employment and unemployment are prepared for approximately 7,600 areas, including counties, cities and metropolitan statistical areas. These estimates are key indicators of local economic conditions. The Bureau of Labor Statistics (BLS) of the U.S. Department of Labor is responsible for the concepts, definitions, technical procedures, validation, and publication of the estimates that State workforce agencies prepare under agreement with BLS. Estimates for counties are produced through a building-block approach known as the "Handbook method." This procedure also uses data from several sources, including the CPS, the CES program, state UI systems, and the Census Bureau's American Community Survey (ACS), to create estimates that are adjusted to the statewide measures of employment and unemployment. Estimates for cities are prepared using disaggregation techniques based on inputs from the ACS, annual population estimates, and current UI data.

  15. U.S. Department of Defense Officer and enlisted numbers from 1995 to 2010

    • statista.com
    Updated Dec 31, 2010
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    Statista (2010). U.S. Department of Defense Officer and enlisted numbers from 1995 to 2010 [Dataset]. https://www.statista.com/statistics/232598/number-of-officers-and-enlisted-in-us-dod/
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    Dataset updated
    Dec 31, 2010
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2010
    Area covered
    United States
    Description

    This statistic shows the number of active duty officers compared to enlisted personnel in the United States Department of Defense from 1995 to 2010. In 2010 there were 234,713 Officers as compared to 1,182,657 enlisted.

  16. Retail sales by U.S. department stores from 2008 to 2010

    • statista.com
    Updated Dec 1, 2011
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    Statista (2011). Retail sales by U.S. department stores from 2008 to 2010 [Dataset]. https://www.statista.com/statistics/209352/retail-sales-by-us-department-stores/
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    Dataset updated
    Dec 1, 2011
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2008 - Dec 2010
    Area covered
    United States
    Description

    This statistic shows the retail sales by U.S. department stores from 2008 to 2010. In 2008, the U.S. department stores recorded retail sales in the amount of 28.2 billion U.S. dollars.

  17. United States AHE: sa: PW: WT: DG: Office Equipment

    • ceicdata.com
    Updated Dec 15, 2021
    + more versions
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    CEICdata.com (2021). United States AHE: sa: PW: WT: DG: Office Equipment [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-average-weekly-and-hourly-earnings-production-workers/ahe-sa-pw-wt-dg-office-equipment
    Explore at:
    Dataset updated
    Dec 15, 2021
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2021 - Nov 1, 2022
    Area covered
    United States
    Variables measured
    Employment
    Description

    United States AHE: sa: PW: WT: DG: Office Equipment data was reported at 22.040 USD in Nov 2022. This records a decrease from the previous number of 22.640 USD for Oct 2022. United States AHE: sa: PW: WT: DG: Office Equipment data is updated monthly, averaging 20.150 USD from Jan 1990 (Median) to Nov 2022, with 395 observations. The data reached an all-time high of 27.950 USD in Oct 2016 and a record low of 13.650 USD in Jan 1990. United States AHE: sa: PW: WT: DG: Office Equipment data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G076: Current Employment Statistics: Average Hourly Earnings: Production Workers: Seasonally Adjusted.

  18. U.S. department stores ad spend 2022-2023

    • statista.com
    • ai-chatbox.pro
    Updated Sep 16, 2024
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    Statista (2024). U.S. department stores ad spend 2022-2023 [Dataset]. https://www.statista.com/statistics/470603/department-stores-industry-ad-spend-usa/
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    Dataset updated
    Sep 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the department stores industry in the United States spent roughly 1.98 billion U.S. dollars on advertising, down from roughly 2.12 billion dollars a year earlier. That represents an annual decrease of approximately 6.7 percent.

  19. Federal Justice Statistics Program: Suspects in Federal Criminal Matters...

    • catalog.data.gov
    • icpsr.umich.edu
    Updated Mar 12, 2025
    + more versions
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    Bureau of Justice Statistics (2025). Federal Justice Statistics Program: Suspects in Federal Criminal Matters Concluded, 2004 [United States] [Dataset]. https://catalog.data.gov/dataset/federal-justice-statistics-program-suspects-in-federal-criminal-matters-concluded-2004-uni
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    Bureau of Justice Statisticshttp://bjs.ojp.gov/
    Area covered
    United States
    Description

    The data contain records of suspects in federal criminal matters concluded by United States attorneys or United States magistrates during fiscal year 2004. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central System file. Records include suspects in criminal matters, and are limited to suspects whose matters were not declined immediately by the United States attorneys. According to the EOUSA, the United States attorneys conduct approximately 95 percent of the prosecutions handled by the Department of Justice. The Central System data contain variables from the original EOUSA files as well as additional analysis variables, or "SAF" variables, that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics, Tables 1.2-1.5. Variables containing identifying information (e.g., name, Social Security Number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.

  20. CMS Statistics

    • data.wu.ac.at
    Updated Apr 5, 2016
    + more versions
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    U.S. Department of Health & Human Services (2016). CMS Statistics [Dataset]. https://data.wu.ac.at/schema/data_gov/ZTgzY2M3NzgtOGM3ZC00ZGYyLWJmYzItNGI0ZWVkMzRiZjZm
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    Dataset updated
    Apr 5, 2016
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Description

    The CMS Center for Strategic Planning produces an annual CMS Statistics reference booklet that provides a quick reference for summary information about health expenditures and the Medicare and Medicaid health insurance programs. The CMS Statistics reference booklet is published in June of each calendar year and represents the most currently available information at the time of publication. CMS Statistics reference booklets are available for 2003 through the most currently available complete calendar year.

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data.ct.gov (2024). Department of Labor, Office of Research (Current Employment Statistics NSA 1990 - Current) [Dataset]. https://catalog.data.gov/dataset/department-of-labor-office-of-research-current-employment-statistics-nsa-1990-current

Department of Labor, Office of Research (Current Employment Statistics NSA 1990 - Current)

Explore at:
Dataset updated
Aug 9, 2024
Dataset provided by
data.ct.gov
Description

Historical Employment Statistics 1990 - current. The Current Employment Statistics (CES) more information program provides the most current estimates of nonfarm employment, hours, and earnings data by industry (place of work) for the nation as a whole, all states, and most major metropolitan areas. The CES survey is a federal-state cooperative endeavor in which states develop state and sub-state data using concepts, definitions, and technical procedures prescribed by the Bureau of Labor Statistics (BLS). Estimates produced by the CES program include both full- and part-time jobs. Excluded are self-employment, as well as agricultural and domestic positions. In Connecticut, more than 4,000 employers are surveyed each month to determine the number of the jobs in the State. For more information please visit us at http://www1.ctdol.state.ct.us/lmi/ces/default.asp.

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