This dataset includes construction-related incidents recorded in through the Department of Buildings (DOB) Incident Database.

In 2024, the construction industry recorded *** fatalities due to occupational accidents. The fatalities of all industrial accidents totaled ***.

In the financial year 2023/24, slips and falls made up most of the non-fatal injuries of employees in the construction industry in Great Britain. There were *** people due to falls from a height, while *** people were injured while handling, lifting or carrying something. Being stricken by a vehicle or a moving object were also common non-fatal accidents.

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.

In 2023, there were ***** work-related deaths less in the construction industry of the United States than in the previous year. The number of fatal injuries in construction increased significantly during the last decade and peaked in 2019 at *****. While *** people died in this industry in 2011, by 2023 that number increased to *****.

In 2023, there were ** fatal construction accidents in Malaysia. This was a decrease compared to the previous years. The number of deaths from construction accidents in the country has been declining since 2019.

We provided the information of the 571 construction accident cases. We didn't provide each of the accident reports, because they were expatiated in Chinese. We just provided the names (in Chinese), area distribution, types, and severity levels of them in Excel tables.

Information provided pertains to all incidents under which a worker performing construction work suffered a work-related fatal injury. This data is collected by the NYSDOL per NY Lab L section 44 (https://law.justia.com/codes/new-york/2021/lab/article-2/44/).

In 2023, *** accidents occurred in the construction sector in Malaysia. This was higher compared to the number of construction accidents reported in the previous year. Nevertheless, Malaysia has seen fewer accidents in the past four years after a record number of *** in 2019. Workplace safety needs improvement Safety in the workplace is essential and regulated by the 1994 Malaysian Occupational Safety and Health Act. Construction site workers are especially at risk because they often have to work on high surfaces, carry heavy tools, and deal with loud noises. The Malaysian Department of Occupational Safety and Health (DOSH) said that employers might overlook common workplace hazards that can cause injuries or even death. In 2023, ** of these The value of construction work increased to around ***** billion Malaysian ringgit in 2024, and it is expected to increase again this year. With more than *** million

Information provided pertains to all incidents under which a worker performing construction work suffered a work-related fatal injury. This data is collected by the NYSDOL per NY Lab L section 44 (https://law.justia.com/codes/new-york/2021/lab/article-2/44/).

Traffic Accident Prediction Dataset

This dataset contains data designed to predict the occurrence and severity of traffic accidents based on various factors affecting road conditions, driver behavior, and traffic situations.

Features:

Weather: The impact of weather conditions on the likelihood of accidents.

• Clear: No adverse weather conditions.
• Rainy: Rainy conditions increase the chance of accidents.
• Foggy: Foggy conditions reduce visibility, increasing accident chances.
• Snowy: Snow can cause slippery roads and higher accident probability.
• Stormy: Stormy weather can create hazardous driving conditions.

Road_Type: The type of road, influencing the probability of accidents.

• Highway: High-speed roads with higher chances of severe accidents.
• City Road: Roads within city limits, typically with more traffic and lower speeds.
• Rural Road: Roads outside urban areas, often with fewer vehicles and lower speeds.
• Mountain Road: Roads with curves and elevation changes, increasing accident risk.

Time_of_Day: The time of day when the accident occurs.

• Morning: The period between sunrise and noon.
• Afternoon: The period between noon and evening.
• Evening: The period just before sunset.
• Night: The nighttime, often associated with reduced visibility and higher risk.

Traffic_Density: The level of traffic on the road.

• 0: Low density (few vehicles).
• 1: Moderate density.
• 2: High density (many vehicles).

Speed_Limit: The maximum allowed speed on the road.

Number_of_Vehicles: The number of vehicles involved in the accident, ranging from 1 to 5.

Driver_Alcohol: Whether the driver consumed alcohol.

• 0: No alcohol consumption.
• 1: Alcohol consumption (which increases the likelihood of an accident).

Accident_Severity: The severity of the accident.

• Low: Minor accident.
• Moderate: Moderate accident with some damage or injuries.
• High: Severe accident with significant damage or injuries.

Road_Condition: The condition of the road surface.

• Dry: Dry roads with minimal risk.
• Wet: Wet roads due to rain, increasing the risk of accidents.
• Icy: Ice on the road, significantly increasing the risk of accidents.
• Under Construction: Roads under construction, which may have obstacles or poor road quality.

Vehicle_Type: The type of vehicle involved in the accident.

• Car: A regular passenger car.
• Truck: A large vehicle used for transporting goods.
• Motorcycle: A two-wheeled motor vehicle.
• Bus: A large vehicle used for public transportation.

Driver_Age: The age of the driver. Values range from 18 to 70 years old.

Driver_Experience: The years of experience the driver has. Values range from 0 to 50 years of experience.

Road_Light_Condition: The lighting conditions on the road.

• Daylight: Daytime, when visibility is typically good.
• Artificial Light: Road is illuminated with streetlights.
• No Light: Road is not illuminated, typically during the night in poorly lit areas.

Notes: This dataset can be used to train classification models to predict whether an accident will occur based on these factors. You can apply machine learning algorithms such as logistic regression, random forests, gradient boosting, or neural networks to build a predictive model.

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.

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.

In 2021, *** cases of occupational injuries in businesses in the construction sector recorded in the Philippines were non-fatal, while ** led to a fatal accident. The number of occupational injuries in construction-related businesses peaked in 2019.

This is an API that allows you to look up the daily status of major accidents in the construction industry. It provides work type, cause, accident type, accident overview, and risk reduction measures. ※ callApiId = 1010 (Required as a fixed value) ※ This data analyzes fatal accidents that occurred in the construction industry between 2017 and 2021, and derives high-risk work, accident occurrence situations, and major causal factors that can cause serious injuries or more. ※ Since the work environment of each workplace may be different, please refer to this data to identify high-risk work and accident-causing factors considering the environment and work characteristics. ※ Since the work environment of each workplace may be different, please refer to the data to identify high-risk work and accident-causing factors considering the workplace environment and work characteristics.

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)

Context

Health, Safety, and Environment (HSE) is a dicspline centered on implementing practices for environmental protection and safety in a workplace. Energy companies place a strong emphasis on HSE when conducting day to day operations, whether it is on the field or in an office. A major challenge with HSE, however, is monitoring and managing HSE incidents across an enterprise. The common practice for incident management is analyzing detailed incident reports. This can be cumbersome and time-consuming, because in most cases, these reports contain unstructured text. To increase efficiency, companies are seeking technologies that allow them to derive valuable insights from unstructured HSE data efficiently.

Content

This dataset contains abstracts of the accidents and injuries of construction workers from 2015-2017. There is some structured data around the unstructured text abstracts, such as Degree of Injury, Body Part(s) Affected, and Construction End Use.

Acknowledgements

This is OSHA data which is publicly available.

Inspiration

What are the most buildings/structures to build? What trends do we see in injuries in terms of time of day, time of year, etc.? What is the reason injuries are occurring? Where do we need more training and safety measures in place?

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

This dataset provides comprehensive information and expert legal guidance for motorcyclists who have been involved in accidents within construction zones in the Denver area. It covers key topics such as common causes of these accidents, the challenges in establishing liability, and strategies for recovering fair compensation from insurance companies. The dataset is based on the extensive experience and successful track record of the personal injury law firm McCormick & Murphy P.C. in handling complex construction zone accident cases.

In 2023, there were ** fatal accidents in the construction sector in Singapore, indicating an increase of *** such accidents from the previous year. Overall the amount of fatal accidents in this sector has been decreasing since the highest incidence numbers in 2013.