In the United States, there were far more occupational injury deaths among men than women. In 2023, there were ***** male occupational injury deaths in the United States, compared to *** deaths among women.

The numbers reflect incidents that were reported to and tracked by the Ministry of Labour. They exclude death from natural causes, death of non- workers at a workplace, suicides, death as a result of a criminal act or traffic accident (unless the OHSA is also implicated) and death from occupational exposures that occurred in the past.

Data from the Ministry of Labour reflects Occupational Health and Safety (OHS) and Employment Standards (ES) information at a point in time and/or for specific reporting purposes. As a result, the information above may not align with other data sources.

Notes on critical injuries :

For the purposes of the data provided, a critical injury of a serious nature includes injuries that:

1. "Place life in jeopardy"
2. "Produce unconsciousness"
3. "Result in substantial loss of blood"
4. "Involve the fracture of a leg or arm but not a finger or toe"
5. "Involve the amputation of a leg, arm, hand or foot but not a finger or toe"
6. "Consist of burns to a major portion of the body"
7. "Cause the loss of sight

Only critical injury events reported to the ministry are included here. This represents data that was reported to the ministry and may not represent what actually occurred at the workplace. The critical injury numbers represent critical injuries reported to the ministry and not necessarily critical injuries as defined by the Occupational Health and Safety Act (OHSA). Non- workers who are critically injured may also be included in the ministry's data. Critical injuries data is presented by calendar year to be consistent with Workplace Safety and Insurance Board harmonized data;

Data is reported based on calendar year

Individual data for the Health Care program is available for Jan. 1 to Mar. 31, 2011 only. From April 2011 onwards Health Care data is included in the Industrial Health and Safety numbers.

Notes on Fatalities :

Only events reported to the ministry are included here. The ministry tracks and reports fatalities at workplaces covered by the OHSA. This excludes death from natural causes, death of non-workers at a workplace, suicides, death as a result of a criminal act or traffic accident (unless the OHSA is also implicated) and death from occupational exposures that occurred many years ago. Fatalities data is presented by calendar year to be consistent with Workplace Safety and Insurance Board harmonized data. Fatality data is reported by year of event.

*[OHSA]: Occupational Health and Safety Act *[Mar.]: March *[Jan.]: January

As of 2024, annual fatality data (including previous years) is reported by year of death.

In 2024, ***** workers in South Korea died in work-related accidents, marking a increase in the number of such types of deaths from the previous year. While numbers have dropped since these statistics were first collected in 1999, South Korea's work-related fatality rate remains one of the highest in the world.

In 1995, there were 6,275 occupational injury deaths in the United States. By 2023, this number had decreased to 5,283 deaths. Occupational injury deaths reached a peak in 1994, with 6,632 deaths. The lowest number of occupational injury deaths recorded was in 2009, with 4,551 deaths.

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

In 2023/24, 138 workers died due to fatal injuries at their workplace in Great Britain, more than in the previous year but fewer than there were in 2020/21. During the provided time period, there has been a noticeable decline in the number of workplace fatalities in Britain.

The database was built using the G1 portal (g1.globo.com) as a news source and 72 news items related to work accidents were recorded. The search was conducted using the keywords “accident” and “industry” as a filter. News items between 2018 and 2022 were treated as a priority in data mining. For certain records, the “Process” category could not be filled in because this variable was not available in the news item. In this case, 56 records of this category were obtained. Each recorded news item is equivalent to a single accident/event and was characterized by 12 main attributes:

• estado (state): Federative Unit (UF);
• cidade (city): Municipality of the UF;
• area_da_industria (industry area): Nominal description of the CNAE code;
• cod_CNAE (CNAE code): A code that cover the Section and its respective Division;
• processo (process): Industrial activity that was being carried out at the time of the event;
• evento (event): Occurrence reported in the news;
• vitimas (victims): People involved at the time of the accident according to the news;
• fatalidades (fatalities): Deaths reported in the news;
• grau (degree): Level of severity of the accident, from 1 to 5;
• mes (month): Month in which the news was published;
• ano (year): Year in which the news was published;
• url (U.R.L.): Virtual address of the news.

The severity levels of the events were classified into 5 levels in the context of the chemical industries according to Rathnayaka et al. (2011) [1]. Increasingly:

• Grade 1 (“Near miss”): This term denotes events that do not result in losses, but have the potential to do so. For example, when a process is occurring outside safe operating limits and does not cause accidents;
• Grade 2 (“Unforeseen”): An unforeseen event is a sequence of events that can cause minor damage to human health, property or the environment. Its consequences cause loss of production or working hours;
• Grade 3 (“Incident”): An incident can cause damage or loss. It can cause major damage and injuries to health, causing temporary or minor permanent disability. It causes localized damage to assets/property, the environment and production. It has an impact on the company’s reputation;
• Grade 4 (“Accident”): This term refers to events that can cause fatalities, major permanent injuries or major financial losses. They generally receive media attention;
• Grade 5 (“Catastrophic Accident”): A catastrophic event that may cause multiple fatalities and/or extensive damage to property and assets.

The industrial activities (related to the “Process” attribute) that appeared in the database can be described by 7 categories:

• Production: activity of manufacturing the final product, processing raw materials or mineral/vegetable extraction;
• Storage: activity related to the storage of final products, raw materials, equipment and the like;
• Maintenance: activity related to the maintenance of equipment or machines used in the industry;
• Cleaning: activity related to the cleaning of industrial premises, equipment or machines;
• Transportation: activity related to the transportation of manufactured products or raw materials on the route between the storage area and the factory's Distribution Center;
• Civil Construction: activity related to the construction of new areas (warehouses, rooms, buildings), extension of existing premises or specific maintenance of structures in civil construction;
• Others: activities that do not fit into any of the descriptions above.

Folder contents:

• industrial_accidents_in_brazil_from_news_EN.csv: The database in English.
• industrial_accidents_in_brazil_from_news_BR.csv: The database in Portuguese.
• CNAE_dict_EN.pkl: A Python dictionary containing the decoded values for the CNAE code in English version.
• CNAE_dict_BR.pkl: A Python dictionary containing the decoded values for the CNAE code in Portuguese version.

For import CNAE_dict.pkl file, execute the code: python import pickle with open( 'CNAE_dict.pkl', 'rb' ) as f: code_dict = pickle.load( f )

[1] RATHNAYAKA, S.; KHAN, F.; AMYOTTE, P. SHIPP methodology: Predictive accident modeling approach. Part II. Validation with case study. Process Safety and Environmental Protection, v. 89, n. 2, p. 75–88, mar. 2011.

This data allows you to view real-time information on the Korea Occupational Safety and Health Agency (KOSHA) website's accident and death bulletin board. Information includes the date and location of the fatal accident, an overview of the accident (cause, etc.), and the number of fatalities and injuries. The KOSHA is a specialized industrial accident prevention organization established to protect the lives and health of workers. To support workplace safety and health, the agency is leading the way in creating safe and healthy workplaces through various activities, including technical support to improve hazards and risk factors, financial assistance for improving work facilities and environments, research and development and safety certification, safety and health education and material development, international cooperation, and public relations. CallApiId = 1040 (required and fixed)

Introduction

Workplace Injury Statistics: Businesses in different fields are constantly worried about workplace injuries. They greatly affect productivity, morale, and general business operations since they come with huge costs, including human life loss and other financial costs. In 2023, approximately 2.8 million cases of workplace injuries were reported in the United States.

This is an increase of about 2% from 2022, indicating continued struggles with upholding security at places of work. The construction and manufacturing industries were among those hit hardest by this calamity, making up nearly 45% of all reported injuries. These could be caused by machines or even human beings, resulting in nasty accidents that might lead to death. The most commonly reported injuries include burns, overexertion, or falls. These are considered unexpected events that cannot be avoided at times. Therefore, measures should be put in place to prevent such unfortunate occurrences.

This is especially worrying because these sectors contribute significantly to the economy and have millions of workers employed there. An elaborate analysis of workplace injury statistics from 2023 and 2024 is presented in this article, and clear data suitable for market research professionals is provided.

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)

The dataset shows death claims accepted by the CNESST from January 1 to December 31. The CNESST administers the occupational health and safety regime. The Law on Industrial Accidents and Occupational Diseases (LATMP) aims to compensate for occupational injuries and the consequences they cause for beneficiaries. The death claims presented in the dataset meet the following criteria: * They are the consequence of a work accident or an occupational disease within the meaning of the LATMP. * These claims represent people who were covered by the occupational health and safety insurance plan administered by the CNESST. * The registration date for the acceptance of the death claim is between January 1 and December 31 of the reference year. Note that the death may have occurred during a year prior to the reference year.

Harmonised data on accidents at work are collected in the framework of the administrative data collection 'European Statistics on Accidents at Work (ESAW)', on the basis of a methodology developed first in 1990. European Statistics on Accidents at Work (ESAW) - Summary methodology - 2013 edition is the last version available.

An accident at work is defined as 'a discrete occurrence in the course of work which leads to physical or mental harm'. If the accident does not lead to the death of the victim it is called a 'non-fatal' (or 'serious') accident. The data include only fatal and non-fatal accidents involving more than 3 calendar days of absence from work.

A fatal accident at work is defined as an accident, which leads to the death of a victim within one year of the accident.

The variables collected on accidents at work include:

• Economic activity of the employer and size of the enterprise
• Employment status, occupation, age, sex and nationality of victim
• Geographical location, date and time of the accident
• Type of injury, body part injured and the severity of the accident (number of full calendar days during which the victim is unfit for work excluding the day of the accident, permanent incapacity or death within one year of the accident)
• Variables on causes and circumstances of the accident: workstation, working environment, working process, specific physical activity, material agent of the specific physical activity, deviation and material agent of deviation, contact - mode of injury and material agent of contact - mode of injury (mandatory 3 out of 9).

The national ESAW sources are the declarations of accidents at work, either to the accident insurance of the national social security system, a private insurance for accidents at work or to other relevant national authorities (labour inspection, health and safety authority, etc.). As an exception, when data from administrative sources are not available, survey data might be used to fill-in the data gaps.

Eurostat website has a structure that includes four folders with accidents at work data:

1. Accidents at work (ESAW, 2008 onwards) contains the most recent data. This folder has other three sections: 'Main Indicators', 'Details by economic sector (NACE Rev2, 2008 onwards) and 'Causes and circumstances of accidents at work'.

Depending on the table, data are broken down by: economic activity (NACE 'main sectors' (1 digit code) or more detailed NACE divisions (2 digit codes)); the occupation of the victim (ISCO-08 code); country; severity of the accident, sex, age, employment status, size of the enterprise, body part injured and type of injury. The unit of measure depends also on the table. The following units of measure are available: numbers, percentages, incidence rates and standardised incidence rates of non-fatal and fatal accidents at work.

2. Accidents at work (ESAW) – until 2007 contains back data covering the reference period 1993-2007, these data refer to the version 1.1 of the NACE classification (NACE Rev.1.1.).

3. Accidents at work and other work-related health problems (source LFS) – present the results of the LFS ad-hoc modules dedicated for health and safety, that are comparable, for the reference years when they have been conducted namely 2007, 2013 and 2020. They are presented in the form of tables that refer to accidents at work; work-related health problems and exposure to risk factors for physical and mental well-being.

4. Work related health problems and accidental injuries – LFS 1999 presents data collected with the LFS ad-hoc module dedicated to health and safety at work 1999. These are historical data, the comparability of the results with the waves 2007, 2013 and 2020 is limited, for this reason the results are presented separately.

These are provisional figures and are subject to change. .hidden { display: none }

In 2023, the highest number of industrial accidents occurred in the manufacturing industry in Japan, at approximately **** thousand cases. In total, around ***** thousand work accidents were reported in the country during the year.

Occupational accident statistics, relationship between types of accidents and injured body parts by manufacturing sector (annual) data

Distribution of formal work accidents according to sex and marital status in Brazil between 2011 and 2021, Brazil, 2023.

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.

The number of occupational fatalities due to major occupational accidents in workplaces covered by the Occupational Safety and Health Act, categorized by industry.

Occupational accident statistics overview by industry (annual) data