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

    • catalog.data.gov
    Updated May 16, 2022
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    Bureau of Labor Statistics (2022). Census of Fatal Occupational Injuries (CFOI) [Dataset]. https://catalog.data.gov/dataset/census-of-fatal-occupational-injuries-cfoi-6f46f
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    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. Bureau of Labor Statistics Industry Injury and Illness Data

    • datalumos.org
    Updated Feb 2, 2018
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    United States. Bureau of Labor Statistics (2018). Bureau of Labor Statistics Industry Injury and Illness Data [Dataset]. http://doi.org/10.3886/E101395V1
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    Dataset updated
    Feb 2, 2018
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Authors
    United States. Bureau of Labor Statistics
    License

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

    Time period covered
    Jan 1994 - Dec 2017
    Area covered
    United States
    Description

    Employer-reported workplace injuries and illnesses, between 1994 and 2017.

  3. Survey of Occupational Injuries and Illnesses (SOII)

    • catalog.data.gov
    Updated May 16, 2022
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    Bureau of Labor Statistics (2022). Survey of Occupational Injuries and Illnesses (SOII) [Dataset]. https://catalog.data.gov/dataset/survey-of-occupational-injuries-and-illnesses-soii-fc31f
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    Dataset updated
    May 16, 2022
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Description

    The Survey of Occupational Injuries and Illnesses (SOII) is a Federal/State cooperative program that publishes estimates on nonfatal occupational injuries and illnesses. Each year, approximately 200,000 employers report for establishments in private industry and the public sector (state and local government). In-scope cases include work-related injuries or illnesses to workers who require medical care beyond first aid. See the Occupational Safety and Health Administration (OSHA) for the entire recordkeeping guidelines. The SOII excludes all work–related fatalities as well as nonfatal work injuries and illnesses to the self–employed; to workers on farms with 10 or fewer employees; to private household workers; to volunteers; and to federal government workers. More information and details about the data provided can be found at https://www.bls.gov/iif/soii-overview.htm

  4. U.S. days away from work due to nonfatal work injuries 2022, by industry

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). U.S. days away from work due to nonfatal work injuries 2022, by industry [Dataset]. https://www.statista.com/statistics/284910/days-away-from-work-due-to-nonfatal-work-injuries-in-the-us-in-2012-by-industry/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2022, the median days away from work after a nonfatal work injury or illness in the construction industry stood at 12 days. The information industry had the highest number of median days away from work, at 17 days.

  5. n

    Occupational Injuries and Illnesses: Industry Data (2014 forward)

    • db.nomics.world
    Updated Nov 10, 2024
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    DBnomics (2024). Occupational Injuries and Illnesses: Industry Data (2014 forward) [Dataset]. https://db.nomics.world/BLS/is
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    Dataset updated
    Nov 10, 2024
    Dataset provided by
    U.S. Bureau of Labor Statistics
    Authors
    DBnomics
    Description

    Occupational injury and illness counts and incidence rates are annual measures of the level and frequency of work-related injuries and illnesses. The rate equals the form of the number of injuries and illnesses per 100 full-time employees.

  6. Occupations with high fatal work injury rates in the U.S. in 2019

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). Occupations with high fatal work injury rates in the U.S. in 2019 [Dataset]. https://www.statista.com/statistics/284870/occupational-with-high-fatal-work-injury-rates-in-the-us-in-2012/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    United States
    Description

    This statistic shows preliminary data for the top 10 occupations by fatal work injury deaths per 100,000 full-time equivalent workers in the U.S. in 2019. In 2019, the highest occupational injury death rate was to be found among fishers and related fishing workers with a rate of 145 deaths per 100,000 workers.

  7. w

    Death rate due to all work-related injuries, New Jersey, by year: Beginning...

    • data.wu.ac.at
    • healthdata.nj.gov
    application/excel +5
    Updated Aug 30, 2017
    + more versions
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    Loretta Kelly (2017). Death rate due to all work-related injuries, New Jersey, by year: Beginning 2010 [Dataset]. https://data.wu.ac.at/schema/healthdata_nj_gov/Zzc0dy14aDV4
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    application/xml+rdf, xml, csv, xlsx, application/excel, jsonAvailable download formats
    Dataset updated
    Aug 30, 2017
    Dataset provided by
    Loretta Kelly
    Area covered
    New Jersey
    Description

    Fatal Occupational Injuries (unintentional and homicide), Incidence Rate, New Jersey.

    Rate: fatalities per 100,000 employed persons.

    Definition: Number and incidence rate of fatal occupational injuries, when the injury occurred while the individual was working, either on or off of the employer's premises.

    Data Source: U.S. Department of Labor, Bureau of Labor Statistics

  8. Number of work-related deaths - Business Environment Profile

    • ibisworld.com
    Updated Oct 14, 2024
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    IBISWorld (2024). Number of work-related deaths - Business Environment Profile [Dataset]. https://www.ibisworld.com/united-states/bed/number-of-work-related-deaths/69
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    Dataset updated
    Oct 14, 2024
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Description

    This report analyzes the annual number of fatal occupational injuries in the United States. Common causes of occupational fatalities include falls, machine-related incidents, motor vehicle accidents, electrocution, falling objects, homicides and suicides. Data is from the Bureau of Labor Statistics.

  9. H

    California Work Injuries and Illnesses, 1990 (M532)

    • dataverse.harvard.edu
    Updated Oct 15, 2015
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    California Department of Industrial Relations (2015). California Work Injuries and Illnesses, 1990 (M532) [Dataset]. http://doi.org/10.7910/DVN/0MGZMW
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 15, 2015
    Dataset provided by
    Harvard Dataverse
    Authors
    California Department of Industrial Relations
    License

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

    Area covered
    California
    Description

    Data from reports filed with the California Division of Labor Statistics and Research. Contains information on insured payrolls and worker's compensation benefits as reported by insurance carriers to the Worker's Compensation Insurance Rating Bureau of California. Items include date of event, FIPS county of event, date of death for fatal injuries, date of hire, occupation of individual, industry of individual, nature of injury, part of body injured, source of injury, associated object or substance causing injury type of accident, wage earned, and hours worked.

  10. A

    ‘Strategic Measure_Lost Time Incident Rate1’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Aug 5, 2020
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2020). ‘Strategic Measure_Lost Time Incident Rate1’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-strategic-measure-lost-time-incident-rate1-68da/latest
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    Dataset updated
    Aug 5, 2020
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Strategic Measure_Lost Time Incident Rate1’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/12021052-1070-448a-be16-33c8e98459e2 on 26 January 2022.

    --- Dataset description provided by original source is as follows ---

    The Lost Time Incident Rate (LTIR) measures how well the City is doing to keep the overall incident (injuries and illnesses) rate down. Being above the target rate would demonstrate that the City is having more lost time incidents than projected. Rates below would indicate that the City did a better job at reducing these types of incidents.

    This metric is also used to compare the City’s safety performance against a national average. Incident rates are used identify trends and areas of focus for safety improvement. The U.S. Bureau of Labor Statistics provides the annual incident rates for industries to use for comparison. The equation is as follows:

    Incident Rate = (# of Injuries X 200,000)/(Actual Hours Worked)

    The 200,000 factor is used to standardize the rate based on 100 employees working 40 hours a week for 50 weeks a year.

    View more details and insights related to this data set on the story page: https://data.austintexas.gov/stories/s/ckgw-c7tv

    --- Original source retains full ownership of the source dataset ---

  11. F

    Producer Price Index by Industry: General Medical and Surgical Hospitals:...

    • fred.stlouisfed.org
    json
    Updated Jan 11, 2018
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    (2018). Producer Price Index by Industry: General Medical and Surgical Hospitals: Injury, Poisoning and Toxic Effects of Drugs (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/PCU622110622110123
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    jsonAvailable download formats
    Dataset updated
    Jan 11, 2018
    License

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

    Description

    Graph and download economic data for Producer Price Index by Industry: General Medical and Surgical Hospitals: Injury, Poisoning and Toxic Effects of Drugs (DISCONTINUED) (PCU622110622110123) from Jun 2008 to Dec 2017 about injury, surgical, medicines, hospitals, medical, PPI, industry, inflation, price index, indexes, price, and USA.

  12. w

    Fatal Occupational Injuries - Series

    • data.wu.ac.at
    • data.amerigeoss.org
    api
    Updated Jan 11, 2017
    + more versions
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    Department of Labor (2017). Fatal Occupational Injuries - Series [Dataset]. https://data.wu.ac.at/schema/data_gov/ZWE0N2MwMTctODhmMy00NjFkLWEwMzItNWUxMTY1ZGYwOGU4
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    apiAvailable download formats
    Dataset updated
    Jan 11, 2017
    Dataset provided by
    Department of Labor
    License

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

    Description

    Allows users to search nonfatal and fatal data for the nation and for States from the most current Survey of Occupational Injuries and Illnesses and the Census of Fatal Occupational Injuries programs. Users can search by industry, demographic characteristics, and case characteristics. Historical data for years prior to the current year. More information and details about the data provided can be found at http://bls.gov/iif/Data.htm.

  13. d

    Labor Department Workplace Injury Compassionate Payment Distribution...

    • data.gov.tw
    csv, json
    Updated Jun 13, 2025
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    Labor Affairs Bureau of Tainan City Government (2025). Labor Department Workplace Injury Compassionate Payment Distribution Statistics Table [Dataset]. https://data.gov.tw/en/datasets/53641
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    json, csvAvailable download formats
    Dataset updated
    Jun 13, 2025
    Dataset authored and provided by
    Labor Affairs Bureau of Tainan City Government
    License

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

    Description

    Work injury condolence payment distribution statistics

  14. d

    Number of occupational injury inpatient benefits under labor insurance (by...

    • data.gov.tw
    csv, json +2
    Updated Jun 17, 2025
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    Bureau of Labor Insurance, MOL (2025). Number of occupational injury inpatient benefits under labor insurance (by gender, age) [Dataset]. https://data.gov.tw/en/datasets/13358
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    csv, webservices, json, xmlAvailable download formats
    Dataset updated
    Jun 17, 2025
    Dataset authored and provided by
    Bureau of Labor Insurance, MOL
    License

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

    Description

    Number of cases and amount of hospitalization benefits for employment injuries under labor insurance from January 2021 to April 2022 by gender and age group

  15. i

    BLES Integrated Survey 2002-2003 - Philippines

    • dev.ihsn.org
    • catalog.ihsn.org
    • +1more
    Updated Apr 25, 2019
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    Bureau of Labor and Employment Statistics (2019). BLES Integrated Survey 2002-2003 - Philippines [Dataset]. https://dev.ihsn.org/nada/catalog/73002
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    Dataset updated
    Apr 25, 2019
    Dataset authored and provided by
    Bureau of Labor and Employment Statistics
    Time period covered
    2003 - 2004
    Area covered
    Philippines
    Description

    Abstract

    The Bureau of Labor and Employment Statistics conducted the BLES Integrated Survey (BITS) in 2003. The BITS is a nationwide survey of non-agricultural establishments employing 20 or more workers that inquires on the key data elements of four of the Bureau's regular surveys --- Employment, Hours and Earnings Survey (EHES), Industrial Relations at the Workplace Survey (IRWS), Occupational Injuries Survey (OIS) and Labor Cost Survey (LCS).

    The BITS aims to generate an integrated data set on employment, wages, hours of work, labor relations, occupational injuries and labor cost of employees. It is also a vehicle to collect some of the data that would measure decent work.

    Note: Refer to Field Operations Manual, Chapter 1

    Geographic coverage

    National coverage, 17 administrative regions

    Analysis unit

    The statistical unit is the establishment. Each unit is classified to an industry that reflects its main economic activity---the activity that contributes the biggest or major portion of the gross income or revenues of the establishment.

    Note: Refer to Field Operations Manual, Chapter 1.5.1

    Universe

    Non-agricultural establishments employing 20 persons or more, except Agriculture and Forestry; Fishing; National Postal Activities; Central Banking; Public Administration and Defense and Compulsory Social Security (e.g. DOLE, PNP, SSS, GSIS, HDMF, PhilHealth); Public Education Services; Public Medical, Dental and Other Health Services; Activities of Membership Organizations (e.g. ECOP, TUCP); Extra-Territorial Organizations and Bodies (e.g. ILO, UNDP)

    Note: Refer to 2003 BLES Integrated Survey Field Operations Manual, Chapter 1.4

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    Statistical Unit: The establishment is the statistical or enumeration unit. Each unit is classified in an industry that reflects its main economic activity---the activity that contributes the biggest or major portion of the gross income or revenues of the establishment.

    Sampling Frame: The 2003 BLES Survey Sampling Frame is a list frame of establishments that is a partial update of the 2002 BLES Sampling Frame based on the status of establishments reported in BLES conducted surveys in the National Capital Region in 2002. Reports on closures and retrenchments of establishments submitted to the Regional Offices of the Department of Labor and Employment in 2002 up to February 2003 were also considered in updating the 2002 frame. The 2002 BLES sampling frame was largely culled from the 2000 List of Establishments of the National Statistics Office that was also partially updated based on the establishment status in BLES conducted surveys in 2001. Similarly, previous sampling frames were partial updates of the 1996 List of Establishments of the NSO based on responses to the BLES surveys conducted since 1997.

    Stratification Scheme: Establishments in the sampling frame were stratified by 3-digit industry (domain) and by employment size (stratum), i.e. 20-99, 100-199 and 200 and over. However, industries observed to be heterogeneous within their 3-digit classification were further broken down at the 4-digit level. Geographical location was not considered in the stratification to allow for detailed industry groupings.

    Sample Size: For 2002/2003 BLES Integrated Survey, the sample size was 6,818.

    Note: Refer to Field Operations Manual, Chapter 1.5.

    Sampling deviation

    Due to the inadequacy of the frame used, reports of permanent closures, duplicate listing and shifts in industry and employment outside the survey coverage are expected during field operations. Establishments that fall in these categories are not eligible elements of the population and their count is not considered in the estimation. In addition to non-response of establishments because of refusals, strikes or temporary closures, there are establishments whose questionnaires contain inconsistent item responses that are not included in the processing as these have not replied to the verification queries by the time output table generation commences. Such establishments are also considered as non-respondents. Respondents are post-stratified as to geographic, industry and employment size classifications. Non-respondents are retained in their classifications.

    Note: Refer to Metadata

    Mode of data collection

    Other [oth], mixed method: self-accomplished, mailed and face-to-face

    Research instrument

    The questionnaire is made up of the following parts:

    Part I - General Information - This portion inquires on main economic activity and major products/goods or services of the establishment, average employment and number of employees, normal/regular working hours per day, days actually worked during the year and days not worked but considered paid during the year for majority of employees, establishment characteristics such as ownership (Filipino or with foreign equity), spread of operations (multinational or not), market orientation (domestic or export), unionism and membership, and existence and coverage of collective bargaining agreement/s.

    Part II - Employment - This section requires data on total employment and its breakdown into working owners, unpaid workers and employees (managers/executives, supervisors/foremen and rank and file: regular and non-regular workers). It also looks into employment of specific groups of employees, types of jobs contracted out and the number of agency-hired workers.

    Part III - Industrial Relations Practices - This part inquires on establishment practices in filling up vacancies; fixing or revising wages and salaries of employees, those given wage and non-wage benefits and those provided training, purpose of training and sources of training funds. It also inquires on coping measures to economic and financial difficulties, and innovation/s introduced and impediment/s encountered in the adoption or implementation of any innovation.

    Part IV - Occupational Injuries - This inquires on the incidence of occupational accidents, cases of occupational injuries and lost workdays and hours actually worked by all employed persons.

    Part V - Labor Costs - This section requires data on the reference period if other than the calendar year, labor cost by cost component and sub-components, hours actually worked by all employees and the percent share of labor cost to total cost.

    Part VI - Certification - this space is provided for the respondent’s name and signature, position, date accomplished and telephone/fax numbers and e-mail address of the person responsible for filling out the form and the time spent in answering the questionnaire. It also solicits comments on the BITS data provided and on the results of previous BLES surveys, and suggestions for improvement on the presentation/packaging of the questionnaire.

    Part VII - Survey Personnel - This portion is for the particulars of the enumerators and area supervisors at the BLES and DOLE Regional Offices involved in the data collection and review of questionnaire entries.

    Results of Recently Conducted BLES Surveys - These are for information of the respondent.

    Note: Refer to Questionnaire

    Cleaning operations

    Data are manually and electronically processed. Upon collection of accomplished questionnaires, enumerators perform field editing before leaving the establishments to ensure completeness, consistency and reasonableness of entries in accordance with the field operations manual. The forms are again checked for data consistency and completeness by their field supervisors. The BLES personnel undertake the final review, coding of information based on classifications used, data entry and validation and scrutiny of aggregated results for coherence. Questionnaires with incomplete or inconsistent entries are returned to the establishments for verification personally or through mail.

    Note: Refer to Metadata

    Response rate

    For 2002/2003 BITS, the response rate in terms of eligible sampling units is 81.0%.

    Note: Refer to Metadata

    Sampling error estimates

    Estimates of sampling error on employment are computed.

    Data appraisal

    Data estimates would be checked with those from other related surveys or administrative data.

    Note: Refer to Metadata

  16. d

    Severe Injury Report (SIR) Data

    • datasets.ai
    • catalog.data.gov
    Updated Sep 9, 2024
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    Department of Labor (2024). Severe Injury Report (SIR) Data [Dataset]. https://datasets.ai/datasets/severe-injury-report-sir-data-68a35
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    Dataset updated
    Sep 9, 2024
    Dataset authored and provided by
    Department of Labor
    Description

    Through CFR 1904.39, OSHA also has the primary responsibility of cleaning, compiling and publishing Severe Injury Report (SIR) data. These data include employer reported incidents involving in-patient hospitalizations, amputations, and the loss of an eye. OSHA cleans the reports of PII, codes the reports using the Occupational Injury and Illness Classification System, and publishes the data.

  17. i

    BLES Integrated Survey 2007-2008 - Philippines

    • dev.ihsn.org
    • catalog.ihsn.org
    • +1more
    Updated Apr 25, 2019
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    Bureau of Labor and Employment Statistics (2019). BLES Integrated Survey 2007-2008 - Philippines [Dataset]. https://dev.ihsn.org/nada/catalog/73016
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    Dataset updated
    Apr 25, 2019
    Dataset authored and provided by
    Bureau of Labor and Employment Statistics
    Time period covered
    2008 - 2009
    Area covered
    Philippines
    Description

    Abstract

    Initiated in 2003, the BITS is a modular survey that integrates the data requirements on employment, industrial relations, occupational injuries and diseases and labor cost that used to be collected by the BLES through independent surveys such as Survey on Specific Groups of Workers (SSGW), Employment, Hours and Earnings Survey (EHES), Industrial Relations at the Workplace Survey (IRWS), Occupational Injuries Survey (OIS) and Labor Cost Survey (LCS). Each round of the BITS covers different aspects of employment and establishment practices. The inquiry on occupational injuries and diseases is a regular feature while that on labor cost is undertaken on a less frequent basis.

    The main objective of this survey is to generate an integrated data set on employment of specific groups of workers, occupational shortages and surpluses, safety and health practices, occupational injuries and diseases and labor cost of employees. These data are inputs to studies on industry trends and practices and serve as bases for the formulation of policies on employment, conditions of work and industrial relations. To some extent, the survey results will also be used to assess the progress of decent work in the country.

    Note: Refer to Field Operations Manual, Chapter 2.1

    Geographic coverage

    National coverage, 17 administrative regions

    Analysis unit

    The statistical unit is the establishment. Each unit is classified to an industry that reflects its main economic activity---the activity that contributes the biggest or major portion of the gross income or revenues of the establishment.

    Note: Refer to Field Operations Manual, Chapter 2.5.1

    Universe

    The BITS covers establishments in 65 non-agricultural industries with an average total employment of at least 20 persons. The following industries are excluded from the survey: Agriculture, Hunting and Forestry; Fishing; National Postal Activties; Central Banking; Public Administration and Defense and Compulsory Social Security (e.g., DOLE, PNP, SSS, GSIS); Public Education Services; Public Medical, Dental and Other Health Services; Activities of Membership Organizations, n.e.c. (e.g., ECOP, TUCP); Extra-Territorial Organizations and Bodies (e.g., ILO, UNDP).

    Note: Refer to Field Operations Manual, 2008 Occupational Wages Survey and 2007/2008 BLES Integrated Survey Chapter 2.4

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    Statistical Unit: The establishment is the statistical or enumeration unit. Each unit is classified in an industry that reflects its main economic activity---the activity that contributes the biggest or major portion of the gross income or revenues of the establishment.

    Sampling Frame: The 2008 BLES Survey Sampling Frame (SSF2008) is an integrated list of establishments culled from the 2006 List of Establishments of the National Statistics Office; and updated 2006 BLES Sampling Frame based on the status of establishments reported in the 2006 BLES Integrated Survey and 2006 Occupational Wages Survey. Lists of Establishments from the Department of Trade and Industry (DTI) and Philippine Chamber of Commerce and Industries (PCCI) were also considered in preparing the 2008 frame.

    Stratification Scheme: Establishments in the sampling frame were stratified by 3-digit industry (domain) and by employment size (stratum), i.e., 20-99, 100-199 and 200 and over. However, industries observed to be heterogeneous within their 3-digit classification were further broken down at the 4, 5 or 6-digit levels. Geographical location was not considered in the stratification to allow for detailed industry groupings.

    Sample Size: The number of establishment covered was 6,460.

    Note: Refer to Field Operations Manual, Chapter 2.5

    Sampling deviation

    Not all of the fielded questionnaires are accomplished. Due to the inadequacy of the frame used , there are reports of permanent closures, non-location, duplicate listing and shifts in industry and employment outside the survey coverage. Establishments that fall in these categories are not eligible elements of the frame and their count is not considered in the estimation. Non-respondents are made up of refusals, strikes or temporary closures and those establishments whose questionnaires contain inconsistent item responses and have not replied to the verification queries by the time output table generation commences. Respondents are post-stratified as to geographic, industry and employment size classifications. Non-respondents are retained in their classifications.

    Note: Refer to Survey Metadata

    Mode of data collection

    Other [oth], mixed method: self-accomplished, mailed and face-to-face

    Research instrument

    The survey questionnaire has been designed to capture the key data requirements on labor statistics from establishments that used to be collected in previous surveys of the BLES.

    Cover Page This contains the address box, contact particulars for assistance, spaces for changes in the name and location of sample establishment and for head office information in case the questionnaire is endorsed to it and status codes of the establishment to be accomplished by BLES and its field personnel.

    Survey Information This contains the survey objectives and uses of the data, confidentiality clause, collection authority, authorized field personnel, coverage, reference periods, due date for accomplishment and expected date when the results of the 2007/2008 BITS would be available.

    Part I: General Information This portion inquires on: · main economic activity · major products/goods or services · establishment characteristics as to ownership · unionism and membership, and existence and coverage of collective bargaining agreement/s · participation in global production network · type of market for business process outsourcing

    Part II: Employment This section requires data on total employment and its breakdown into working owners, unpaid workers and employees (managers/executives, supervisors/foremen and rank and file: regular and non-regular workers). It also looks into the employment of specific groups of workers, number of agency-hired workers and the types of jobs contracted out.

    Part III: Occupational Shortages and Surpluses This portion inquires on the number of job vacancies, hard-to-fill occupations, difficulties encountered in recruitment, requirements in filling-up of job vacancies, vacant positions that are easy to fill, methods adapted in filling-up of vacancy, total recruitment cost and methods used in rating the applicants in terms of acquired traits.

    Part IV: Safety and Health Practices This part inquires on the safety and health practices of persons at work, as well as on the protection of other individuals against risk to their safety and health in connection with or as affected by activities of persons at work. The safety and health practices may be in the form of facilities, occupational health programs/services, preventive and control measures, trainings and seminars.

    Part V: Occupational Injuries and Diseases This inquires on the incidence of occupational accidents, cases of occupational injuries and lost workdays by incapacity for work (fatal, permanent, temporary), cases without lost workdays, cases of occupational diseases, incidence of commuting accidents, workers injured and hours actually worked by all employed persons. It also inquires on the classifications (type, part of body injured, cause and agent) of the occupational injury cases.

    Part VI: Labor Cost of Employees This section requires data on the reference period if other than the calendar year, labor cost by component and sub-components, hours actually worked by all employees (including instructions on how to estimate) and the percent share of labor cost to total cost.

    Part VII: Certification This portion is provided for the respondent's name/signature, position, telephone no., fax no. and e-mail address and time spent in answering the questionnaire.

    Appropriate spaces are also provided to elicit comments on: · data provided for the 2007/2008 BITS questionnaire · statistics from previous BITS · presentation/packaging, particularly on the definition of terms, layout, font and color.

    Part VIII: Survey Personnel This portion is for the particulars of the enumerators and area/regional supervisors and reviewers at the BLES and DOLE Regional Offices involved in the data collection and review of questionnaire entries.

    Results of the previous BITS The results/statistics of the previous BITS are for information of the establishment. More of the results can be obtained from the BLES Website at http://www.bles.dole.gov.ph.

    Note: Refer to BLES Integrated Survey Questionnaire

    Cleaning operations

    Data are manually and electronically processed. Upon collection of accomplished questionnaires, enumerators perform field editing before leaving the establishments to ensure completeness, consistency and reasonableness of entries in accordance with the field operations manual. The forms are again checked for data consistency and completeness by their field supervisors.

    The BLES personnel undertake the final review, coding of information on classifications used, data entry and validation and scrutiny of aggregated results for coherence. Questionnaires with incomplete or inconsistent entries are returned to the establishments for verification, personally or through mail.

    Microsoft Access is used for data encoding and generation of validation prooflists. After checking accuracy of encoding based on the prooflists, a conversion program using SPSS is executed to generate output tables.

    Note: Refer to

  18. Global Smart Personal Protective Equipment Market Size By Type (Eye and Face...

    • verifiedmarketresearch.com
    pdf,excel,csv,ppt
    Updated May 30, 2025
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    Verified Market Research (2025). Global Smart Personal Protective Equipment Market Size By Type (Eye and Face Protection, Hearing Protection, Head Protection, Fall Protection, Smart Clothing), By End-User (Construction, Mining, Oil and Gas, Manufacturing, Automotive), By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/smart-personal-protective-equipment-market/
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    May 30, 2025
    Dataset authored and provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2026 - 2032
    Area covered
    Global
    Description

    Smart Personal Protective Equipment Market size was valued at USD 4.83 Billion in 2024 and is projected to reach USD 17.49 Billion by 2032, growing at a CAGR of 17.5% from 2026 to 2032.Key Market DriversStringent Workplace Safety Regulations: The growing implementation of strict occupational safety standards is compelling industries to invest in advanced protective solutions. According to the U.S. Bureau of Labor Statistics, 2.6 Million nonfatal workplace injuries and illnesses were reported in private industry in 2021, with an incidence rate of 2.7 cases per 100 full-time equivalent workers. The International Labour Organization estimates that work-related accidents and diseases result in approximately 2.3 Million deaths annually worldwide.

  19. c

    Industrial Head Protection market size will be $3,478.31 Million by 2029.

    • cognitivemarketresearch.com
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    Updated Apr 2, 2025
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    Cognitive Market Research (2025). Industrial Head Protection market size will be $3,478.31 Million by 2029. [Dataset]. https://www.cognitivemarketresearch.com/industrial-head-protection-market-report
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Apr 2, 2025
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    As per Cognitive Market Research's latest published report, the Global Industrial Head Protection market size will be $3,478.31 Million by 2029. Industrial Head Protection Industry's Compound Annual Growth Rate will be 5.24% from 2023 to 2030 What are the key driving factors for the Industrial Head Protection market?

    Instances of injuries at workplaces
    

    Workplace injuries are the injuries that develop as a result of an employee's job. In most cases, a workplace accident happens because the workplace is unsafe, the premises are toxic, the equipment is malfunctioning, or the environment is polluted with hazardous substances. Furthermore, employment requiring repeated or demanding motions (e.g., industrial labour or heavy lifting) can result in damage.

    Workplace injuries occur in a variety of settings. Work-related injuries are common, particularly in construction and mining. Falling from a higher level, being hit in the head by a steel beam as it is hauled across a jobsite, or being hit by a vehicle transporting supplies are all instances of worksite injuries in the construction business. These traumatic brain injuries are both lethal and nonfatal (TBIs).

    According to the Employer-Related Workplace Injuries and Illnesses News Release from the US Bureau of Labor Statistics, 2.8 out of every 100 workers were hurt at work in November 2020. Similarly, in 2020/21, 35 employees were killed by falls from great heights, and 17 were killed by being struck by moving, flying, or falling items across all industries.

    According to the report, in 2016-17, there were 348,453 hospital admissions in the United Kingdom for brain injury. This equates to 531 admissions per 100,000 people. In 2019, 1,270 workers in the United States were killed in work-related vehicle accidents (24 percent of all deaths). In 2020, 805 employees died in falls, and 211,640 were seriously wounded, necessitating time off from work.

    Similarly, the most prevalent causes of accidents in coal mining include firedamp and dust explosions, landslides, mine fires, and transport and mechanization technical failures.

    According to 2018 safety statistics from the International Council on Mining and Metals (ICMM), nine fatalities (18%) were caused by ground fall in underground mines. These unintentional injuries can occur at any time. As a result, planning ahead of time for incidents becomes essential.

    As a result, several firms supply workers with a helmet or hat. Safety helmets, also known as hard hats, are meant to protect the head.

    With the increased use of these head protection solutions, there has been a drop in work-related deaths. Hence, instances of injuries at workplaces drives the growth of the industrial head protection market.

    Restraints for Industrial Head Protection Market

    Neglection regarding the usage of industrial head protection solutions.(Access Detailed Analysis in the Full Report Version)
    

    Opportunities for Industrial Head Protection Market

    Technological advancement in product due to stringent regulation regarding employee safety.(Access Detailed Analysis in the Full Report Version)
    

    What is Industrial Head Protection?

    Head protection is a sort of personal protective equipment that is intended to protect the scalp and, in certain cases, the jaw. Workers are protected with industrial head protection equipment.

    When operating in a location where an object might fall and impact the worker's head, or when there is a high electrical shock exposure to the worker's head, head protection is essential. It secures the user against potential repercussions like as brain damage or skull fractures by protecting against mechanical strikes to the head.

    The product comes in a variety of specs, patterns, and colors. Many colors of the helmet represent the diverse uses of the safety equipment in various applications. Furthermore, the colour represents distinct designations in various organizations.

    These items are frequently offered as safety helmets, hard hats, and bump caps. It is widely utilized in a variety of industries, including construction, oil and gas, mining, food, chemicals, pharmaceuticals, and transportation.

    Currently, there are countless work-related accidents occurring across the world, necessitating the use of suitable head protection. The requirement for industrial head protection is increasing as industrialization progresses.

  20. d

    The number and amount of work-related injury hospitalization benefits (by...

    • data.gov.tw
    csv, json +2
    Updated Jun 17, 2025
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    Bureau of Labor Insurance, MOL (2025). The number and amount of work-related injury hospitalization benefits (by gender and region) [Dataset]. https://data.gov.tw/en/datasets/13357
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    webservices, xml, csv, jsonAvailable download formats
    Dataset updated
    Jun 17, 2025
    Dataset authored and provided by
    Bureau of Labor Insurance, MOL
    License

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

    Description

    Number of work injury hospitalization benefits cases and amount of benefits paid under labor insurance from 2021 to April 2022 - by gender and region

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Bureau of Labor Statistics (2022). Census of Fatal Occupational Injuries (CFOI) [Dataset]. https://catalog.data.gov/dataset/census-of-fatal-occupational-injuries-cfoi-6f46f
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Census of Fatal Occupational Injuries (CFOI)

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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

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