100+ datasets found
  1. d

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

    • catalog.data.gov
    • data.ct.gov
    • +3more
    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
    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.

  2. o

    Statistics on the work of the Legal Department - Dataset - Open Government...

    • opendata.gov.jo
    Updated Mar 26, 2024
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    (2024). Statistics on the work of the Legal Department - Dataset - Open Government Data [Dataset]. https://opendata.gov.jo/dataset/statistics-on-the-work-of-the-legal-department-3039-2023
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    Dataset updated
    Mar 26, 2024
    Description

    2018-2023 Statistics on the work of the Legal Department

  3. d

    The number of full-time faculty in universities and colleges

    • data.gov.tw
    csv
    Updated Jun 1, 2025
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    Department of Higher Education (2025). The number of full-time faculty in universities and colleges [Dataset]. https://data.gov.tw/en/datasets/26221
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    csvAvailable download formats
    Dataset updated
    Jun 1, 2025
    Dataset authored and provided by
    Department of Higher Education
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description
    1. The number of full-time faculty in various departments of colleges and universities.2. The data is the same as that on the "Teaching 1-1. Number of Full-time Faculty - Statistics by Department (Institute)" and "Teaching 1-2. Number of Full-time Faculty - Statistics by School" of the college and university affairs information open platform.
  4. d

    Students And Teachers In Educational Institutions, Annual

    • data.gov.sg
    Updated Jul 10, 2025
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    Singapore Department of Statistics (2025). Students And Teachers In Educational Institutions, Annual [Dataset]. https://data.gov.sg/datasets/d_e24eb88daad6743854009265c61ee0d8/view
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Singapore Department of Statistics
    License

    https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence

    Time period covered
    Jan 1985 - Dec 2023
    Description

    Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_e24eb88daad6743854009265c61ee0d8/view

  5. d

    United States Census Bureau Open Data

    • catalog.data.gov
    • hub.arcgis.com
    Updated Apr 19, 2025
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    City of Sioux Falls GIS (2025). United States Census Bureau Open Data [Dataset]. https://catalog.data.gov/dataset/united-states-census-bureau-open-data-3513f
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    Dataset updated
    Apr 19, 2025
    Dataset provided by
    City of Sioux Falls GIS
    Area covered
    United States
    Description

    Link to the Open Data site for the United States Census Bureau.

  6. Schools, pupils and their characteristics: January 2025

    • gov.uk
    Updated Jun 5, 2025
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    Department for Education (2025). Schools, pupils and their characteristics: January 2025 [Dataset]. https://www.gov.uk/government/statistics/schools-pupils-and-their-characteristics-january-2025
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    Dataset updated
    Jun 5, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Education
    Description

    This release contains the latest statistics on school and pupil numbers and their characteristics, including:

    • age
    • sex
    • free school meals (FSM) eligibility
    • English as an additional language
    • ethnicity
    • young carers
    • information on school characteristics
    • information on class sizes
    • cross border movement of pupils

    Schools and Pupils Statistics Team
    Email: schools.statistics@education.gov.uk

  7. Data from: Internet users

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Apr 6, 2021
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    Office for National Statistics (2021). Internet users [Dataset]. https://www.ons.gov.uk/businessindustryandtrade/itandinternetindustry/datasets/internetusers
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    xlsxAvailable download formats
    Dataset updated
    Apr 6, 2021
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Internet use in the UK annual estimates by age, sex, disability, ethnic group, economic activity and geographical location, including confidence intervals.

  8. Estimates of Emergency Department Visits in the United States from 2016-2022...

    • catalog.data.gov
    • data.virginia.gov
    • +2more
    Updated Apr 23, 2025
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    Centers for Disease Control and Prevention (2025). Estimates of Emergency Department Visits in the United States from 2016-2022 [Dataset]. https://catalog.data.gov/dataset/estimates-of-emergency-department-visits-in-the-united-states-from-2016-2019-faa2a
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    Dataset updated
    Apr 23, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Area covered
    United States
    Description

    The National Hospital Ambulatory Medical Care Survey (NHAMCS), conducted by the National Center for Health Statistics (NCHS), collects annual data on visits to emergency departments to describe patterns of utilization and provision of ambulatory care delivery in the United States. Data are collected from nonfederal, general, and short-stay hospitals from all 50 U.S. states and the District of Columbia, and are used to develop nationally representative estimates. The data include counts and rates of emergency department visits from 2016-2022 for the 10 leading primary diagnoses and reasons for visit, stratified by selected patient and hospital characteristics. Rankings for the 10 leading categories were identified using weighted data from 2022 and were then assessed in prior years.

  9. Medicaid Enrollment by State

    • data.wu.ac.at
    application/unknown
    Updated Apr 4, 2018
    + more versions
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    U.S. Department of Health & Human Services (2018). Medicaid Enrollment by State [Dataset]. https://data.wu.ac.at/odso/data_gov/OWNiNzY2NGEtMTkzYi00OGJkLTg2Y2MtODAyMWU1ZTkxNGZi
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    application/unknownAvailable download formats
    Dataset updated
    Apr 4, 2018
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Description

    Medicaid enrollment by state for all 50 states and DC.

  10. d

    Statistics of foreign full-time faculty in colleges and universities by...

    • data.gov.tw
    csv, json
    + more versions
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    Department of Statistics, Statistics of foreign full-time faculty in colleges and universities by school, country, gender, and rank [Dataset]. https://data.gov.tw/en/datasets/6291
    Explore at:
    csv, jsonAvailable download formats
    Dataset authored and provided by
    Department of Statistics
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Statistics of foreign full-time faculty in Taiwanese colleges and universities - categorized by institution, country, gender, and rank.

  11. 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.

  12. Immigration system statistics, year ending March 2025

    • gov.uk
    Updated Jun 25, 2025
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    Home Office (2025). Immigration system statistics, year ending March 2025 [Dataset]. https://www.gov.uk/government/statistics/immigration-system-statistics-year-ending-march-2025
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    Dataset updated
    Jun 25, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Home Office
    Description

    This release presents immigration statistics from Home Office administrative sources, covering the period up to the end of March 2025. It includes data on the topics of:

    • passenger arrivals and visitors
    • work
    • study
    • family
    • safe and legal routes
    • irregular migration
    • asylum claims
    • granted asylum
    • total cases in the asylum system
    • settlement or citizenship
    • EU Settlement Scheme
    • detention
    • returns

    Further information

    User guide to Home Office Immigration statistics
    Policy and legislative changes affecting migration to the UK: timeline
    Developments in migration statistics
    Publishing detailed datasets in Immigration statistics
    Migration analysis at the Home Office collection page

    A range of key input and impact indicators are currently published by the Home Office on the Migration transparency data webpage.

    If you have feedback or questions, our email address is MigrationStatsEnquiries@homeoffice.gov.uk.

  13. V

    United States Bureau of Transportation Statistics (BTS)

    • data.virginia.gov
    html
    Updated Feb 3, 2024
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    Other (2024). United States Bureau of Transportation Statistics (BTS) [Dataset]. https://data.virginia.gov/dataset/united-states-bureau-of-transportation-statistics-bts
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Feb 3, 2024
    Dataset authored and provided by
    Other
    Area covered
    United States
    Description

    The Bureau of Transportation Statistics (BTS), part of the Department of Transportation (DOT) is the preeminent source of statistics on commercial aviation, multimodal freight activity, and transportation economics, and provides context to decision makers and the public for understanding statistics on transportation. BTS assures the credibility of its products and services through rigorous analysis, transparent data quality, and independence from political influence. BTS promotes innovative methods of data collection, analysis, visualization, and dissemination to improve operational efficiency, to examine emerging topics, and to create relevant and timely information products that foster understanding of transportation and its transformational role in society. The Bureau’s National Transportation Library (NTL) is the permanent, publicly accessible home for research publications from throughout the transportation community; the gateway to all DOT data; and the help line for the Congress, researchers, and the public for information about transportation.

  14. Singapore Revenue: Customs and Excise Dept: Total

    • ceicdata.com
    Updated May 15, 2018
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    CEICdata.com (2018). Singapore Revenue: Customs and Excise Dept: Total [Dataset]. https://www.ceicdata.com/en/singapore/government-revenue-customs-and-excise-department/revenue-customs-and-excise-dept-total
    Explore at:
    Dataset updated
    May 15, 2018
    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
    Jun 1, 2017 - May 1, 2018
    Area covered
    Singapore
    Variables measured
    Operating Statement
    Description

    Singapore Revenue: Customs and Excise Dept: Total data was reported at 271.700 SGD mn in Oct 2018. This records an increase from the previous number of 246.600 SGD mn for Sep 2018. Singapore Revenue: Customs and Excise Dept: Total data is updated monthly, averaging 166.800 SGD mn from Jun 1994 (Median) to Oct 2018, with 293 observations. The data reached an all-time high of 602.700 SGD mn in Jul 2003 and a record low of -0.600 SGD mn in May 2003. Singapore Revenue: Customs and Excise Dept: Total data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.F003: Government Revenue: Customs and Excise Department.

  15. Criminal justice system statistics quarterly: September 2020

    • gov.uk
    • s3.amazonaws.com
    Updated Feb 18, 2021
    + more versions
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    Ministry of Justice (2021). Criminal justice system statistics quarterly: September 2020 [Dataset]. https://www.gov.uk/government/statistics/criminal-justice-system-statistics-quarterly-september-2020
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    Dataset updated
    Feb 18, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Justice
    Description

    The report presents key statistics on activity in the criminal justice system for England and Wales. It provides information up to the year ending September 2020 with accompanying commentary, analysis and presentation of longer-term trends.

    The COVID-19 pandemic continues to cause MoJ to review our data gathering, access and release practices, focusing efforts on priority analysis and statistics. Our statement explains this further and in particular, we have limited access to the Police National Computer, to minimise non-essential travel by our analysts. In line with guidance from the Office for Statistics Regulation, the decision has been made to delay the following publications:

    • Cautions data to September 2020 is planned for publication on 20 May 2020
    • First Time Entrants (FTE) data to March 2020 is planned for publication on 20 May 2021
    • FTE data to June 2020 is planned for publication on 20 May 2021
    • FTE data to September 2020 is planned for publication on 20 May 2021

    Statistician’s comment:

    The figures published today highlight the impact on criminal court prosecutions and convictions of the COVID-19 pandemic. Latest short-term trends are mostly reflective of the impact of the pandemic on court processes and prioritisation rather than a continuation of the longer-term series.

    The monthly data shows that following the sharp falls in prosecutions and convictions immediately following the March 2020 ‘lockdown’, these have recovered by September 2020, although not quite to pre-pandemic levels.

    Custody rates and average sentence lengths have both increased overall. For custody rates, this is likely to partially reflect the prioritisation in courts of more serious offences since April 2020 – meaning a greater concentration of court time for offences more likely to get a prison sentence. The increase in average sentence lengths continues the trend of the last 10 years, and it is less clear from the monthly data what impact, if any, the pandemic may have had.

    Pre-release access

    The bulletin is produced and handled by the ministry’s analytical professionals and production staff. Pre-release access of up to 24 hours is granted to the following persons:

    Ministry of Justice

    Lord Chancellor and Secretary of State for Justice; Minister of State for Prisons and Probation; 2 Parliamentary Under Secretary of States; Permanent Secretary; Principal Private Secretary; Deputy Principal Private Secretary; Deputy Private Secretary; 5 Private Secretaries; Special Advisor; Head of News; Chief Press Officer; 4 Press Officers; Director, Family and Criminal Justice Policy; Chief Statistician; Director of Data and Analytical Services; Director General for Policy and Strategy Group; Chief Financial Officer & Director General for the Chief Financial Officer Group; Deputy Director, Bail, Sentencing and Release Policy; 2 Section Heads, Criminal Court Policy; Director, Offender and Youth Justice Policy; Statistician, Youth Justice Board; Data Analyst, Youth Justice Board; Deputy Director, Crime; Crime Service Manager (Case Progression) - Courts and Tribunals Development; Deputy Director, Legal Operations - Courts & Tribunals Development Directorate; Head of Criminal Law policy; Policy Manager – Youth Courts and Sentencing; 7 Policy Advisors; Head of Custodial Sentencing; Head of Criminal Courts Statistics.

    Home Office

    Home Secretary; Private Secretary to the Home Secretary; Permanent Secretary, Home Office; Assistant Private Secretary to the Home Office Permanent Secretary; Minister of State for Policing and the Fire Service; Assistant Private Secretary Minister of State for Policing and the Fire Service; Director of Crime, Home Office; Head of Crime and Policing Statistics, Home Office; Head of Recorded Crime Statistics.

    The Judiciary

    Lord Chief Justice; Private Secretary to the Lord Chief Justice; Private Secretary to the President of the Queen’s Bench; Lead for Criminal Justice for the Senior Judiciary.

    Other

    Principal Analyst (Justice), Cabinet Office

  16. Bureau of Labor Statistics Unemployment and Inflation

    • redivis.com
    • columbia.redivis.com
    application/jsonl +7
    Updated Dec 14, 2020
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    Columbia Data Platform Demo (2020). Bureau of Labor Statistics Unemployment and Inflation [Dataset]. https://redivis.com/datasets/ymdq-1a9mgdxff
    Explore at:
    arrow, avro, csv, parquet, spss, application/jsonl, stata, sasAvailable download formats
    Dataset updated
    Dec 14, 2020
    Dataset provided by
    Redivis Inc.
    Authors
    Columbia Data Platform Demo
    Time period covered
    Jan 1, 1939 - Dec 31, 2020
    Description

    Abstract

    This dataset includes economic statistics on inflation, prices, unemployment, and pay & benefits provided by the Bureau of Labor Statistics (BLS)

    Documentation

    Update frequency: Monthly Dataset source: U.S. Bureau of Labor Statistics Terms of use: This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset. See the GCP Marketplace listing for more details and sample queries: https://console.cloud.google.com/marketplace/details/bls-public-data/bureau-of-labor-statistics

  17. Malaysia DOS Projection: Population: Non-Malaysian Citizens

    • ceicdata.com
    + more versions
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    CEICdata.com, Malaysia DOS Projection: Population: Non-Malaysian Citizens [Dataset]. https://www.ceicdata.com/en/malaysia/population-projection-department-of-statistics/dos-projection-population-nonmalaysian-citizens
    Explore at:
    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, 2020 - Dec 1, 2040
    Area covered
    Malaysia
    Description

    DOS Projection: Population: Non-Malaysian Citizens data was reported at 4,152.400 Person th in 2040. This records an increase from the previous number of 3,971.300 Person th for 2035. DOS Projection: Population: Non-Malaysian Citizens data is updated yearly, averaging 3,767.300 Person th from Dec 2020 (Median) to 2040, with 5 observations. The data reached an all-time high of 4,152.400 Person th in 2040 and a record low of 3,297.600 Person th in 2020. DOS Projection: Population: Non-Malaysian Citizens data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Malaysia – Table MY.G002: Population: Projection: Department of Statistics.

  18. c

    Quarterly Census of Employment and Wages (QCEW)

    • s.cnmilf.com
    • data.ca.gov
    • +1more
    Updated Nov 27, 2024
    + more versions
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    California Employment Development Department (2024). Quarterly Census of Employment and Wages (QCEW) [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/quarterly-census-of-employment-and-wages-qcew-a6fea
    Explore at:
    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Employment Development Department
    Description

    The Quarterly Census of Employment and Wages (QCEW) Program is a Federal-State cooperative program between the U.S. Department of Labor’s Bureau of Labor Statistics (BLS) and the California EDD’s Labor Market Information Division (LMID). The QCEW program produces a comprehensive tabulation of employment and wage information for workers covered by California Unemployment Insurance (UI) laws and Federal workers covered by the Unemployment Compensation for Federal Employees (UCFE) program. The QCEW program serves as a near census of monthly employment and quarterly wage information by 6-digit industry codes from the North American Industry Classification System (NAICS) at the national, state, and county levels. At the national level, the QCEW program publishes employment and wage data for nearly every NAICS industry. At the state and local area level, the QCEW program publishes employment and wage data down to the 6-digit NAICS industry level, if disclosure restrictions are met. In accordance with the BLS policy, data provided to the Bureau in confidence are used only for specified statistical purposes and are not published. The BLS withholds publication of Unemployment Insurance law-covered employment and wage data for any industry level when necessary to protect the identity of cooperating employers. Data from the QCEW program serve as an important input to many BLS programs. The Current Employment Statistics and the Occupational Employment Statistics programs use the QCEW data as the benchmark source for employment. The UI administrative records collected under the QCEW program serve as a sampling frame for the BLS establishment surveys. In addition, the data serve as an input to other federal and state programs. The Bureau of Economic Analysis (BEA) of the Department of Commerce uses the QCEW data as the base for developing the wage and salary component of personal income. The U.S. Department of Labor’s Employment and Training Administration (ETA) and California's EDD use the QCEW data to administer the Unemployment Insurance program. The QCEW data accurately reflect the extent of coverage of California’s UI laws and are used to measure UI revenues; national, state and local area employment; and total and UI taxable wage trends. The U.S. Department of Labor’s Bureau of Labor Statistics publishes new QCEW data in its County Employment and Wages news release on a quarterly basis. The BLS also publishes a subset of its quarterly data through the Create Customized Tables system, and full quarterly industry detail data at all geographic levels.

  19. Vital statistics in the UK: births, deaths and marriages

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Feb 24, 2023
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    Office for National Statistics (2023). Vital statistics in the UK: births, deaths and marriages [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/populationandmigration/populationestimates/datasets/vitalstatisticspopulationandhealthreferencetables
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Feb 24, 2023
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    Annual UK and constituent country figures for births, deaths, marriages, divorces, civil partnerships and civil partnership dissolutions.

  20. i

    Grant Giving Statistics for Echelon No 31 Department of Texas the Twenty and...

    • instrumentl.com
    Updated Jul 5, 2021
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    (2021). Grant Giving Statistics for Echelon No 31 Department of Texas the Twenty and Four [Dataset]. https://www.instrumentl.com/990-report/echelon-no-31-department-of-texas-the-twenty-and-four
    Explore at:
    Dataset updated
    Jul 5, 2021
    Area covered
    Texas
    Variables measured
    Total Assets
    Description

    Financial overview and grant giving statistics of Echelon No 31 Department of Texas the Twenty and Four

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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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