10 datasets found
  1. Census of Fatal Occupational Injuries (CFOI)

    • catalog.data.gov
    • s.cnmilf.com
    Updated May 16, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Bureau of Labor Statistics (2022). Census of Fatal Occupational Injuries (CFOI) [Dataset]. https://catalog.data.gov/dataset/census-of-fatal-occupational-injuries-cfoi-6f46f
    Explore at:
    Dataset updated
    May 16, 2022
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Description

    The Bureau of Labor Statistics (BLS) Census of Fatal Occupational Injuries (CFOI) produces comprehensive, accurate, and timely counts of fatal work injuries. CFOI is a Federal-State cooperative program that has been implemented in all 50 States and the District of Columbia since 1992. To compile counts that are as complete as possible, the census uses multiple sources to identify, verify, and profile fatal worker injuries. Information about each workplace fatal injury—occupation and other worker characteristics, equipment involved, and circumstances of the event—is obtained by cross-referencing the source records, such as death certificates, workers' compensation reports, and Federal and State agency administrative reports. To ensure that fatal injuries are work-related, cases are substantiated with two or more independent source documents, or a source document and a follow-up questionnaire. Data compiled by the CFOI program are issued annually for the preceding calendar year. More information and details about the data provided can be found at https://www.bls.gov/iif/oshfat1.htm

  2. Workplace Fatalities Stats by Accident Type & Industry

    • data.gov.sg
    Updated Jun 12, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ministry of Manpower (2025). Workplace Fatalities Stats by Accident Type & Industry [Dataset]. https://data.gov.sg/datasets/d_96415fe7d30b8f82f3628602f627a4fa/view
    Explore at:
    Dataset updated
    Jun 12, 2025
    Dataset provided by
    Ministry of Manpower, Singaporehttp://www.mom.gov.sg/
    Authors
    Ministry of Manpower
    License

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

    Description

    Dataset from Ministry of Manpower. For more information, visit https://data.gov.sg/datasets/d_96415fe7d30b8f82f3628602f627a4fa/view

  3. f

    Data from: Falls from height: analysis of 114 cases

    • scielo.figshare.com
    jpeg
    Updated May 30, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Tomi Zlatar; Eliane Maria Gorga Lago; Willames de Albuquerque Soares; João dos Santos Baptista; Béda Barkokébas Junior (2023). Falls from height: analysis of 114 cases [Dataset]. http://doi.org/10.6084/m9.figshare.8128148.v1
    Explore at:
    jpegAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    SciELO journals
    Authors
    Tomi Zlatar; Eliane Maria Gorga Lago; Willames de Albuquerque Soares; João dos Santos Baptista; Béda Barkokébas Junior
    License

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

    Description

    Abstract Paper aims To study fall-accident cases in order to analyze the commonly missing or not adequately applied risk management measures (RMM) and its consequences depending on falling height. Originality First study to analyze failed RMM for preventing falls from height. Research method The study reviewed court cases published by the journal “Safety & Health Practitioner”. NIOSH recommendations were used to define RMM to apply to this study. Main findings Finally, in 98% of analyzed cases, the fall from height was a result of several non-adequate or missing RMM: in 81.6% procedures of work, 65.8% guardrails and edge protection, 60.5% risk assessment, and 60.5% platforms or scaffolds. It can be concluded that falls from height pose a significant risk for workers, which could be prevented by adequately apply RMM. Implications for theory and practice The focus in the prevention of falls should be given on most common RMM.

  4. w

    Fire statistics data tables

    • gov.uk
    • s3.amazonaws.com
    Updated Aug 28, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ministry of Housing, Communities and Local Government (2025). Fire statistics data tables [Dataset]. https://www.gov.uk/government/statistical-data-sets/fire-statistics-data-tables
    Explore at:
    Dataset updated
    Aug 28, 2025
    Dataset provided by
    GOV.UK
    Authors
    Ministry of Housing, Communities and Local Government
    Description

    On 1 April 2025 responsibility for fire and rescue transferred from the Home Office to the Ministry of Housing, Communities and Local Government.

    This information covers fires, false alarms and other incidents attended by fire crews, and the statistics include the numbers of incidents, fires, fatalities and casualties as well as information on response times to fires. The Ministry of Housing, Communities and Local Government (MHCLG) also collect information on the workforce, fire prevention work, health and safety and firefighter pensions. All data tables on fire statistics are below.

    MHCLG has responsibility for fire services in England. The vast majority of data tables produced by the Ministry of Housing, Communities and Local Government are for England but some (0101, 0103, 0201, 0501, 1401) tables are for Great Britain split by nation. In the past the Department for Communities and Local Government (who previously had responsibility for fire services in England) produced data tables for Great Britain and at times the UK. Similar information for devolved administrations are available at https://www.firescotland.gov.uk/about/statistics/">Scotland: Fire and Rescue Statistics, https://statswales.gov.wales/Catalogue/Community-Safety-and-Social-Inclusion/Community-Safety">Wales: Community safety and https://www.nifrs.org/home/about-us/publications/">Northern Ireland: Fire and Rescue Statistics.

    If you use assistive technology (for example, a screen reader) and need a version of any of these documents in a more accessible format, please email alternativeformats@communities.gov.uk. Please tell us what format you need. It will help us if you say what assistive technology you use.

    Related content

    Fire statistics guidance
    Fire statistics incident level datasets

    Incidents attended

    https://assets.publishing.service.gov.uk/media/686d2aa22557debd867cbe14/FIRE0101.xlsx">FIRE0101: Incidents attended by fire and rescue services by nation and population (MS Excel Spreadsheet, 153 KB) Previous FIRE0101 tables

    https://assets.publishing.service.gov.uk/media/686d2ab52557debd867cbe15/FIRE0102.xlsx">FIRE0102: Incidents attended by fire and rescue services in England, by incident type and fire and rescue authority (MS Excel Spreadsheet, 2.19 MB) Previous FIRE0102 tables

    https://assets.publishing.service.gov.uk/media/686d2aca10d550c668de3c69/FIRE0103.xlsx">FIRE0103: Fires attended by fire and rescue services by nation and population (MS Excel Spreadsheet, 201 KB) Previous FIRE0103 tables

    https://assets.publishing.service.gov.uk/media/686d2ad92557debd867cbe16/FIRE0104.xlsx">FIRE0104: Fire false alarms by reason for false alarm, England (MS Excel Spreadsheet, 492 KB) Previous FIRE0104 tables

    Dwelling fires attended

    https://assets.publishing.service.gov.uk/media/686d2af42cfe301b5fb6789f/FIRE0201.xlsx">FIRE0201: Dwelling fires attended by fire and rescue services by motive, population and nation (MS Excel Spreadsheet, 192 KB) Previous FIRE0201 tables

    <span class="gem

  5. d

    Occupational Fatalities (based on year of acceptance) by Type and Age group

    • datasets.ai
    21, 54
    Updated Sep 7, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Government of Alberta | Gouvernement de l'Alberta (2024). Occupational Fatalities (based on year of acceptance) by Type and Age group [Dataset]. https://datasets.ai/datasets/c16413ed-9168-43a0-9425-8617d45f23bb
    Explore at:
    54, 21Available download formats
    Dataset updated
    Sep 7, 2024
    Dataset authored and provided by
    Government of Alberta | Gouvernement de l'Alberta
    Description

    The table provides the number of 3 types of WCB accepted occupational fatalities by different age groups in the most current year. The number of occupational fatalities was counted based on the year of WCB acceptance.

  6. Census of Fatal Occupational Injuries (2011 forward)

    • data.wu.ac.at
    • data.amerigeoss.org
    api, txt
    Updated Dec 19, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Department of Labor (2017). Census of Fatal Occupational Injuries (2011 forward) [Dataset]. https://data.wu.ac.at/schema/data_gov/ZGZkYmQ5NjQtZGM4Ni00YmM4LWI1MWYtNWI1MWYxNWZjOGJm
    Explore at:
    txt, apiAvailable download formats
    Dataset updated
    Dec 19, 2017
    Dataset provided by
    United States Department of Laborhttp://www.dol.gov/
    License

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

    Description

    The Bureau of Labor Statistics (BLS) Census of Fatal Occupational Injuries (CFOI) produces comprehensive, accurate, and timely counts of fatal work injuries. CFOI is a Federal-State cooperative program that has been active in all 50 States and the District of Columbia since 1992. To compile counts that are as complete as possible, CFOI uses multiple sources to identify, verify, and profile fatal worker injuries. Information about each workplace fatal injury is obtained by cross referencing the source records, such as death certificates, workers' compensation reports, and Federal and State agency administrative reports. To ensure that fatal injuries are work-related, cases are substantiated with two or more independent source documents, or a source document and a follow-up questionnaire. CFOI publishes detailed data on case characteristics such as the event or exposure leading to the fatal injury, the source of the fatal injury, and worker activity at the time of the incident. Event or exposure, source, and other case characteristic codes are currently based on the BLS Occupational Injury and Illness Classification System (OIICS) 2.01, which can be viewed at our Web site at http://www.bls.gov/iif/oshoiics.htm.

  7. f

    Table_1_A comparison between veterinary small animal general practitioners...

    • datasetcatalog.nlm.nih.gov
    • frontiersin.figshare.com
    Updated Mar 21, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Li, Kun; Mooney, Erin; Hall, Evelyn; Quain, Anne; McArthur, Michelle (2024). Table_1_A comparison between veterinary small animal general practitioners and emergency practitioners in Australia. Part 1: demographic and work-related factors.pdf [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001372078
    Explore at:
    Dataset updated
    Mar 21, 2024
    Authors
    Li, Kun; Mooney, Erin; Hall, Evelyn; Quain, Anne; McArthur, Michelle
    Description

    Occupational stressors are commonly encountered in small animal veterinary practice and have been associated with burnout. The working context of veterinarians differs by specialty, and this can potentially lead to variable exposures to risk factors for burnout. The aim of this study was to explore differences in demographic and working conditions of veterinary general practitioners (GPs) and emergency practitioners (EPs) to compare exposure to different potential stressors. An anonymous, online survey was administered to veterinary GPs and EPs practicing in metropolitan regions of Australia. In total, 320 participant responses were analyzed (n = 237, 74.2% GPs and n = 83, 25.9% EPs). Significant differences (P < 0.05) in the demographics and work-related exposures were found between the two groups. GPs were found to be older than EPs with a greater number of years of experience in their field (P < 0.001). Most veterinary GPs worked only day shifts (207/236, 87.7%); where EPs worked a greater variety of shift patterns, with “only day shifts” being the least common shift pattern (P < 0.001). Most GPs worked a set and predictable roster pattern (195/236, 83.6%), while most EPs did not (51/83, 61.5%). EPs worked more weekends and public holidays (P < 0.001). The EP group performed more hours of work each week but worked less overtime. The main contributing factors for overtime were scheduling factors for GPs and staffing issues for EPs. EPs were commonly not able to take meal-breaks and GPs' meal-breaks were commonly interrupted by work. EPs were more frequently exposed to patient death, euthanasia (including for financial reasons), emotionally distressed clients and delivering negative news (P < 0.001). Both groups indicated that most work environments were collegiate and supportive, and a minority reported toxic colleagues (11.8%) or management teams (26.9%). Just under one-half of respondents reported having witnessed or experienced workplace bullying. Of our respondent group, 52.0% (166/319) were not satisfied with their remuneration. Desire to leave their principal area of practice was prevalent among this survey group (192/319, 60.2%) with approximately one-third considering leaving the veterinary profession. We discuss the implications of these workplace factors, including mitigation strategies.

  8. O

    Qld quarterly mine and quarry safety data

    • data.qld.gov.au
    xls
    Updated Jun 13, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Resources Safety and Health Queensland (2025). Qld quarterly mine and quarry safety data [Dataset]. https://www.data.qld.gov.au/dataset/quarterly-mines-and-quarries-safety-statistics-data
    Explore at:
    xls(534 KiB), xls(615.5 KiB)Available download formats
    Dataset updated
    Jun 13, 2025
    Dataset authored and provided by
    Resources Safety and Health Queensland
    License

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

    Area covered
    Queensland
    Description

    The following data is based on statistics collected by us from mines and quarry sites throughout Queensland.

    Incident frequency rates data shows the quarterly frequency rates for serious accidents, high potential incidents, recordable injuries, lost-time injuries and disabling injuries for each major industry sector, for the period specified.

    Mining industry worker numbers data shows the number of workers by mine and sector, for the period specified.

    The lost-time injuries/diseases data covers occurrences that resulted in fatalities, permanent disability or time lost from work of 1 shift or more. Data is categorised by body part affected, hazards identified, injury type, major equipment, mechanism of injury, occurrence class and worksite location.

  9. Descriptive statistics for workplaces included in the study and distribution...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 9, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Maria Fröberg; Sadaf Sakina Hassan; Ville N. Pimenoff; Susanne Akterin; Kalle Conneryd Lundgren; K. Miriam Elfström; Joakim Dillner (2023). Descriptive statistics for workplaces included in the study and distribution of SARS-CoV-2 testing results by workplace. [Dataset]. http://doi.org/10.1371/journal.pone.0257854.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Maria Fröberg; Sadaf Sakina Hassan; Ville N. Pimenoff; Susanne Akterin; Kalle Conneryd Lundgren; K. Miriam Elfström; Joakim Dillner
    License

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

    Description

    Descriptive statistics for workplaces included in the study and distribution of SARS-CoV-2 testing results by workplace.

  10. f

    The Impact and Cost of Scaling up Midwifery and Obstetrics in 58 Low- and...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xlsx
    Updated Jun 3, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Linda Bartlett; Eva Weissman; Rehana Gubin; Rachel Patton-Molitors; Ingrid K. Friberg (2023). The Impact and Cost of Scaling up Midwifery and Obstetrics in 58 Low- and Middle-Income Countries [Dataset]. http://doi.org/10.1371/journal.pone.0098550
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Linda Bartlett; Eva Weissman; Rehana Gubin; Rachel Patton-Molitors; Ingrid K. Friberg
    License

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

    Description

    Background and MethodsTo guide achievement of the Millennium Development Goals, we used the Lives Saved Tool to provide a novel simulation of potential maternal, fetal, and newborn lives and costs saved by scaling up midwifery and obstetrics services, including family planning, in 58 low- and middle-income countries. Typical midwifery and obstetrics interventions were scaled to either 60% of the national population (modest coverage) or 99% (universal coverage).FindingsUnder even a modest scale-up, midwifery services including family planning reduce maternal, fetal, and neonatal deaths by 34%. Increasing midwifery alone or integrated with obstetrics is more cost-effective than scaling up obstetrics alone; when family planning was included, the midwifery model was almost twice as cost-effective as the obstetrics model, at $2,200 versus $4,200 per death averted. The most effective strategy was the most comprehensive: increasing midwives, obstetricians, and family planning could prevent 69% of total deaths under universal scale-up, yielding a cost per death prevented of just $2,100. Within this analysis, the interventions which midwifery and obstetrics are poised to deliver most effectively are different, with midwifery benefits delivered across the continuum of pre-pregnancy, prenatal, labor and delivery, and postpartum-postnatal care, and obstetrics benefits focused mostly on delivery. Including family planning within each scope of practice reduced the number of likely births, and thus deaths, and increased the cost-effectiveness of the entire package (e.g., a 52% reduction in deaths with midwifery and obstetrics increased to 69% when family planning was added; cost decreased from $4,000 to $2,100 per death averted).ConclusionsThis analysis suggests that scaling up midwifery and obstetrics could bring many countries closer to achieving mortality reductions. Midwives alone can achieve remarkable mortality reductions, particularly when they also perform family planning services - the greatest return on investment occurs with the scale-up of midwives and obstetricians together.

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

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Bureau of Labor Statistics (2022). Census of Fatal Occupational Injuries (CFOI) [Dataset]. https://catalog.data.gov/dataset/census-of-fatal-occupational-injuries-cfoi-6f46f
Organization logo

Census of Fatal Occupational Injuries (CFOI)

Explore at:
Dataset updated
May 16, 2022
Dataset provided by
Bureau of Labor Statisticshttp://www.bls.gov/
Description

The Bureau of Labor Statistics (BLS) Census of Fatal Occupational Injuries (CFOI) produces comprehensive, accurate, and timely counts of fatal work injuries. CFOI is a Federal-State cooperative program that has been implemented in all 50 States and the District of Columbia since 1992. To compile counts that are as complete as possible, the census uses multiple sources to identify, verify, and profile fatal worker injuries. Information about each workplace fatal injury—occupation and other worker characteristics, equipment involved, and circumstances of the event—is obtained by cross-referencing the source records, such as death certificates, workers' compensation reports, and Federal and State agency administrative reports. To ensure that fatal injuries are work-related, cases are substantiated with two or more independent source documents, or a source document and a follow-up questionnaire. Data compiled by the CFOI program are issued annually for the preceding calendar year. More information and details about the data provided can be found at https://www.bls.gov/iif/oshfat1.htm

Search
Clear search
Close search
Google apps
Main menu