In 2023, the highest occupational injury death rate in the United States was to be found with logging workers, with a rate of 98.9 deaths per 100,000 workers. Overall, the occupational injury death rate in the U.S. stood at 3.5 deaths per 100,000 workers.

This statistic shows preliminary data for occupational injury deaths per 100,000 full-time equivalent workers in the US in 2019, by major occupation group. In 2019, the highest occupational injury death rate was to be found in farming, fishing, and forestry occupations with a rate of 24.5 deaths per 100,000 workers.

Provisional counts of the number of deaths and age-standardised mortality rates involving the coronavirus (COVID-19), by occupational groups, for deaths registered between 9 March and 28 December 2020 in England and Wales. Figures are provided for males and females.

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.

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

BackgroundThere is mounting evidence for associations between sedentary behaviours and adverse health outcomes, although the data on occupational sitting and mortality risk remain equivocal. The aim of this study was to determine the association between occupational sitting and cardiovascular, cancer and all-cause mortality in a pooled sample of seven British general population cohorts.MethodsThe sample comprised 5380 women and 5788 men in employment who were drawn from five Health Survey for England and two Scottish Health Survey cohorts. Participants were classified as reporting standing, walking or sitting in their work time and followed up over 12.9 years for mortality. Data were modelled using Cox proportional hazard regression adjusted for age, waist circumference, self-reported general health, frequency of alcohol intake, cigarette smoking, non-occupational physical activity, prevalent cardiovascular disease and cancer at baseline, psychological health, social class, and education.ResultsIn total there were 754 all-cause deaths. In women, a standing/walking occupation was associated with lower risk of all-cause (fully adjusted hazard ratio [HR] = 0.68, 95% CI 0.52–0.89) and cancer (HR = 0.60, 95% CI 0.43–0.85) mortality, compared to sitting occupations. There were no associations in men. In analyses with combined occupational type and leisure-time physical activity, the risk of all-cause mortality was lowest in participants with non-sitting occupations and high leisure-time activity.ConclusionsSitting occupations are linked to increased risk for all-cause and cancer mortality in women only, but no such associations exist for cardiovascular mortality in men or women.

Here you will find an open data set with the Labour Inspection Authority’s statistics on occupational injury deaths per year for the last five-year period. The Working Environment Act & 5-2 requires employers to notify the Labour Inspection Authority of serious work-related personal injuries to their own employees. Occupational injury death means a work injury that causes the injured employee to die within one year of the accident. The Labour Inspection Authority provides statistics on occupational injury deaths occurring within the Labour Inspection Authority’s administrative area that is limited to the land-based labour market in Norway. Occupational injury deaths in aviation, shipping, fishing and capture, petroleum activities on the Norwegian continental shelf and the construction and operation of land-based petroleum facilities are followed up by other supervisory authorities. Occupational injury deaths in these industries are therefore not included in these statistics. Occupational injury deaths in military occupations are included, with the exception of deaths in war situations. For more information about the data set read here. The open data set consists of: Year (Ar), Monthly name (Maned), Number of occupational injury deaths (Number)

Top 20 detailed occupations ranked by mortality prevention index among workers ages 18–64 years, California, 2020.

Occupational suicide analysis, providing numbers of deaths and the standardised mortality ratio for people aged 20 to 64 years, deaths registered in England.

Fatal occupational injuries (unintentional and homicide), incidence rate (construction), New Jersey.

Rate: fatalities per 100,000 construction workers.

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

Data Source: Occupational Health Surveillance Unit, New Jersey Department of Health

Ensuring social data's reliability is essential in accurately evaluating social and economic impacts across geographical locations, economic sectors and stakeholder categories. Yet, the MRIO model utilized in our research (EXIOBASE) was hindered by out-of-date or significantly proxy fatality statistics, causing potential inaccuracies in our findings. We have comprehensively revised EXIOBASE fatality data to address this shortcoming, incorporating detailed, nation-specific, and up-to-date data. The update includes work-related fatal occupational injuries as well as fatalities associated with occupational exposure to a variety of 17 hazardous substances and conditions such as asbestos, arsenic, benzene, beryllium, cadmium, chromium, diesel engine exhaust, formaldehyde, nickel, polycyclic aromatic hydrocarbons, silica, sulfuric acid, trichloroethylene, asthmagens, particulate matter, gases and fumes, noise and ergonomic factors. Our methodological process is built on three pillars: data acquisition, raw data processing, and computation of fatal injuries by country, gender, year, and EXIOBASE economic sector.

Data were sourced from the World Health Organization (WHO) (Pega et al., 2021) and Eurostat databases (Publications Office of the European Union, 2013). The WHO data was carefully screened based on specific criteria such as age above 15 years, gender, and fatal injuries only. Eurostat data provided granular information on work-related fatalities, classified by economic activities in the European Community (or NACE Rev.2 (Eurostat, 2008)). The WHO provided aggregate fatality data for 2010 and 2016. The strategy for allocating these deaths across Eurostat categories depended on the countries' geographical location, with different methods applied to European and non-European nations.

For European nations, fluctuations in fatality numbers within a NACE Rev.2 sector mirrored the changes registered by Eurostat. For non-European countries, fatality figures were proportionally allocated across economic sectors split according to the NACE Rev.2 classification, reflecting the workforce size associated with each economic sector. Due to the scarcity of data for nations within Asia, America, or Africa, we adopted a regional approach, computing fatality ratios over each NACE Rev.2 category for each region by integrating data for available countries over a reference year. For 2010 and 2016, the aggregate fatality figures for nations within these three zones were established. Due to the temporal proximity of both reference years, we postulated a linear trend in the fatality count between these two years. The number of fatalities for a specific country, year, and per NACE Rev.2 activity was then calculated by applying the previously mentioned fatality ratio to the total number of deaths for that nation. Last, we applied the European annual ratios to their total mortality figures for the few countries that could not be classified as European or belonging to one of the aforementioned zones.

The result is a comprehensive database that includes the number of fatalities (expressed in the number of deaths for work-related fatal occupational injuries and in Disability-adjusted life years (DALYs), for fatalities associated with occupational exposure to a specific risk factor), detailed at the country, gender, and NACE Rev.2 sector levels from 2008 to 2019, providing insights into work-related fatal injuries across different health effects and geographical regions.

Nomenclature

Archives:

• Concordance_ISIC_Exiobase.xlsx : Concordance between the International Standard Industrial Classification (ISIC) and the exiobase sectors
• Concordance_ISO3_EXIO3.xlsx - Concordance between the ISO3 code and the Exiobase regions
• Workforce_by_ISO3.csv - Number of active persons per Country (ISO3 code), per Statistical Classification of Economic Activities in the European Community (NACE), Sex, Year (from 1991 to 2021)
• Workforce_by_EXIO3.csv - Number of active persons per Exiobase region (EXIO3 code), per Statistical Classification of Economic Activities in the European Community (NACE), Sex, Year (from 1991 to 2021)
• Death_ISO3.csv - Number of death per Country (ISO3 code), Exiobase Sector, Sex, Estimate (point, lower, upper), Year (from 2009 to 2019)
• Death_EXIO3.csv - Number of death per Exiobase Region (EXIO3 code), Exiobase Sector, Sex, Estimate (point, lower, upper), Year (from 2009 to 2019)
• Injuries_ISO3.zip - Archive of DALY per Country (ISO3 code), Exiobase Sector, Sex, Estimate (point, lower, upper), Type of Exposure, Year (from 2009 to 2019)
• Injuries_EXIO3.zip - Archive of DALY per Exiobase Region (EXIO3 code), Exiobase Sector, Sex, Estimate (point, lower, upper), Type of Exposure, Year (from 2009 to 2019)
  

Content of Injuries_*.zip:

• arsenic_*.csv
• asbestos_*.csv
• asthmagens_*.csv
• benzene_*.csv
• beryllium_*.csv
• cadmium_*.csv
• chromium_*.csv
• diesel_*.csv
• ergonomic_*.csv
• formaldehyde_*.csv
• gases_*.csv
• nickel_*.csv
• noise_*.csv
• polycyclic_*.csv
• silica_*.csv
• sulfuric_*.csv
• trichloro_*.csv

A joint ONS/Health & Safety Executive report on the analysis of death registrations to ascertain statistical associations between specific occupations and various causes of death. Source agency: Office for National Statistics Designation: National Statistics Language: English Alternative title: Occupational mortality in England and Wales

Here you will find an open data set with the Labour Inspection Authority’s statistics on occupational injury deaths per year for the last five-year period. The Working Environment Act & 5-2 requires employers to notify the Labour Inspection Authority of serious work-related personal injuries to their own employees. Occupational injury death means a work injury that causes the injured employee to die within one year of the accident. The Labour Inspection Authority provides statistics on occupational injury deaths occurring within the Labour Inspection Authority’s administrative area that is limited to the land-based labour market in Norway. Occupational injury deaths in aviation, shipping, fishing and capture, petroleum activities on the Norwegian continental shelf and the construction and operation of land-based petroleum facilities are followed up by other supervisory authorities. Occupational injury deaths in these industries are therefore not included in these statistics. Occupational injury deaths in military occupations are included, with the exception of deaths in war situations. For more information about the data set read here. The open data set consists of: Year (Ar), Gender (Kjonn), Number of occupational injury deaths (Number)

The table provides the number of WCB accepted occupational fatalities by different age group in the most current year. It also provides the number of people in employment by different age groups. The fatality frequency rate was calculated by dividing the number of fatality claims from workers of different age group to the number of workers employed and multiply the result by one million. The number of fatalities was counted based on the year of death occurred.

The graph illustrates the annual fatalities among construction workers in the United States from 2018 to 2023. The x-axis displays the years, labeled with abbreviated two-digit numbers from '18 to '23, while the y-axis represents the total number of deaths recorded each year. Over this five-year span, the fatalities range from a low of 951 in 2021 to a high of 1,066 in 2019. The data shows fluctuations in annual deaths, with a decrease in fatalities in 2020 and 2021 followed by an increase in 2022. The graph provides a visual representation of the trends in construction worker fatalities during this period.

Graph and download economic data for Employment for Other Services (Except Public Administration): Death Care Services (NAICS 8122) in the United States (IPUUN8122W200000000) from 1987 to 2024 about death, NAICS, services, employment, and USA.

The table provides the number of WCB accepted occupational fatalities by gender in the most current year. It also provides the number of people in employment by gender. The fatality frequency rate was calculated by dividing the number of fatality claims from workers of different gender group to the number of workers employed by different gender group and multiply the result by one million. The number of fatalities was counted based on the fatality claim acceptance year.

Users can access data about mortality statistics related to occupation exposures. Background The National Occupational Mortality Survey (NOMS) is maintained by the National Institute for Occupational Safety and Health (NIOSH). The data base offers age-adjusted proportionate mortality ratios and summary statistics for roughly 500 occupational groups and 300 industry groups. User Functionality Users can search proportionate mortality ratio (PMR) data by sex, race, cause of death, industry (using census industry codes) or occupation, and age catego ries (15-54, 15-64, 65+). Additionally users can access over 3,000 premade charts and tables for quick access to selected chronic disease data. Twenty-two site-specific cancers and 17 cardiovascular, neurodegenerative, diabetes, and renal disease multiple cause PMRs are presented for the largest fifteen industries in each of eight sectors: agriculture, forestry, fishing; mining; construction; manufacturing, wholesale and retail trade; transportation, warehousing and utilities; healthcare and social assistance; and services. Data Notes The NOMS database presents the results of a multiple cause death analysis of death by industry based on data from more than 11,000,000 death records for adults, race and gender combined, age 18 and above that died during the years 1984-1998 in twenty-seven U.S. states. The states are Alaska, Colorado, Georgia, Hawaii, Idaho, Indiana, Kansas, Kentucky, Maine, Missouri, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Penn sylvania, Rhode Island, South Carolina, Tennessee, Utah, Vermont, Washington, West Virginia, and Wisconsin. Data acquired from data searches is available for download in HTML or Comma-Separated Value (CSV) format. Premade charts are available for download in excel.

ObjectiveTo determine the predictive value of the large panel of occupational constraints (OC) on all-cause mortality with a 20-year follow-up, in general population of workers.MethodsIn VISAT prospective cohort study, 3,138 workers (1,605 men; 1,533 women) were recruited during the periodic work health visits conducted by occupational physicians. OC (physical, organizational, psychological and employment categories) were collected through self-questionnaires. Exposure durations of each OC were divided by tertile distribution. Cox-regression models were performed to analyze the associations between all-cause mortality and each OC first separately and simultaneously in a single model.ResultsThe mortality rates were higher among exposed participants to most of OC compared to those unexposed. Being exposed and longer exposure increased the risks of all-cause mortality for exposures to carrying heavy loads, loud noise, working more than 48 h/week, starting its first job before 18 years old although these risks became non-significant after adjustments for cardiovascular risk factors. Shift work and night work confirmed a high risk of mortality whatever the adjustments and notably when the other occupational exposures were taking into account, with, respectively: HR: 1.38 (1.01–1.91) and 1.44 (1.06–1.95). After adjustments being exposed more than 13 years to a work requiring getting-up before 5:00 a.m. and more than 16 years in rotating shift work significantly increased the risk of mortality by one and a half.ConclusionThe links between each OC and all-cause mortality and the role of individual factors were stressed. For night-shift workers, it is urgent to implement preventive strategies at the workplace.

Abstract Objective: to analyze fatalities due to occupational accidents occurred from 2001 to 2016 in a Brazilian oil and gas company. Methods: data were collected from the social sustainability reports published by the company and supplemented by information available at the company library, in union documents, and in the media news. Results: fatalities predominantly occurred in the exploration and production activities (55.0%), refining (15.0%), and engineering/construction (13.0%). The highest number of deaths occurred on offshore platforms (19.4%), followed by refineries (14.4%) and oil wells (8.1%); motor vehicles caused 15.8% of the fatal injuries. Occupations with the most fatal accidents were drivers or drivers’ assistants (14.4%), maintenance technicians (9.9%), operation technicians (9.5%), assistants (6.8%), technician assistants (5,9%) and equipment operators (4.5%). Conclusion: deaths in the oil and gas industry struck mainly outsourced workers engaged in exploration and production activities, especially on the platforms, corroborating the international statistics on the high risk in offshore work.