According to a survey conducted in India in 2023, ** percent of the respondents believe that behavioral, leadership, and culture change will be instrumental in driving worker safety over the next five years in the construction industry. Other than this, increased safety monitoring and onsite health and wellness testing as well as the use of data and analytics would be leading technologies that drive worker safety in the future. All the respondents of this survey were industry leaders within the construction industry in India.

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.

Graph and download economic data for Employed full time: Wage and salary workers: Compliance officers, except agriculture, construction, health and safety, and transportation occupations: 16 years and over: Women (LEU0254688500A) from 2000 to 2010 about compliance officers, safety, occupation, full-time, females, health, agriculture, transportation, salaries, workers, 16 years +, construction, wages, employment, and USA.

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

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.

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.

The Construction Health and Safety Service market is a vital sector dedicated to ensuring the safety and well-being of workers in one of the most hazardous industries worldwide. With rigorous safety standards and protocols being essential to minimize workplace accidents, the demand for specialized health and safety

4,764 workers died on the job in 2020 (3.4 per 100,000 full-time equivalent workers). Workers in transportation and material moving occupations and construction and extraction occupations accounted for nearly half of all fatal occupational injuries (47.4 percent), representing 1,282 and 976 workplace deaths, respectively. Occupational Safety and Health Administration (US Department of Labour)

Introduction

There have been many accidents in construction sites due to lack of safety measures. A major reason for this has been workers not wearing Personal Protective Equipments (PPE) for their safety. Detecting PPEs become very crucial for the continuous monitoring of worker safety.

Dataset collection

This dataset is provided as a collection in Roboflow, please check this link: Construction Site Safety Image Dataset under the CC BY 4.0 License https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2163725%2F0e46d95b350ee8bc9c683595ccf5ecb6%2Fconstruction-safety.jpg?generation=1677172246224555&alt=media" alt=""> This dataset is a great collection of images, since the labels are in the following format: 'Hardhat', 'Mask', 'NO-Hardhat', 'NO-Mask', 'NO-Safety Vest', 'Person', 'Safety Cone', 'Safety Vest', 'machinery', 'vehicle'. It is very important in tracking and monitoring applications whether a person is wearing Hardhat or NO-Hardhat. Most of the datasets are not annotated in this particular way, making this dataset very useful.

Quick Summary

• Number of classes: 10
• Label Annotation: YOLO format (.txt)
• Metadata: metadata.csv and count.csv provides information about the dataset and train-val-test count information.
• PPE Class Map: {0: 'Hardhat', 1: 'Mask', 2: 'NO-Hardhat', 3: 'NO-Mask', 4: 'NO-Safety Vest', 5: 'Person', 6: 'Safety Cone', 7: 'Safety Vest', 8: 'machinery', 9: 'vehicle'}
• Difficulty: This is a beginner-friendly dataset on multi-class classification, object detection, and tracking. Annotations are in YoloV8 format. The splits are given in the dataset folder itself with metadata, so anyone can use this data to run models and produce results.

Citation

Please cite the project from Roboflow, if you use this dataset in a research paper. python @misc{ construction-site-safety_dataset, title = { Construction Site Safety Dataset }, type = { Open Source Dataset }, author = { Roboflow Universe Projects }, howpublished = { \url{ https://universe.roboflow.com/roboflow-universe-projects/construction-site-safety } }, url = { https://universe.roboflow.com/roboflow-universe-projects/construction-site-safety }, journal = { Roboflow Universe }, publisher = { Roboflow }, year = { 2023 }, month = { feb }, note = { visited on 2023-02-23 }, }

AI-Powered Construction Safety Analytics Market Outlook

According to our latest research, the AI-Powered Construction Safety Analytics market size reached USD 2.13 billion in 2024 globally, with a robust compound annual growth rate (CAGR) of 19.7% anticipated through the forecast period. By 2033, the market is projected to attain a value of USD 10.97 billion, driven by increased adoption of artificial intelligence in construction safety management and the growing emphasis on minimizing workplace accidents. This accelerated growth is fueled by the integration of advanced analytics, real-time monitoring, and predictive safety solutions, which are transforming the construction sector’s approach to risk management and regulatory compliance.

The primary growth driver for the AI-Powered Construction Safety Analytics market is the escalating demand for proactive risk identification and mitigation in the construction industry. As construction projects become larger and more complex, the potential for workplace accidents and safety violations increases. AI-powered analytics tools enable real-time data collection from various sources, including wearables, site cameras, and IoT sensors, allowing for immediate detection of unsafe behaviors or hazardous conditions. This not only enhances worker safety but also reduces project downtime, insurance costs, and potential legal liabilities. The ability of AI to process vast amounts of unstructured data and deliver actionable insights is revolutionizing how construction firms manage safety protocols, leading to a marked reduction in accident rates and fostering a culture of safety-first across the sector.

Another significant factor fueling market expansion is the tightening of regulatory frameworks and the increasing emphasis on compliance with occupational health and safety standards worldwide. Governments and regulatory bodies are mandating stricter safety protocols, and non-compliance can result in severe penalties, project shutdowns, or reputational damage. AI-powered safety analytics platforms help construction companies stay ahead of regulatory requirements by automating compliance management, tracking incidents, and generating detailed audit trails. These solutions not only streamline reporting but also offer predictive analytics to prevent future incidents, thereby aligning operational practices with legal mandates and industry best practices. The resulting reduction in regulatory risk is a compelling incentive for construction firms to invest in advanced safety analytics technologies.

Technological advancements and the proliferation of smart construction sites are further accelerating the adoption of AI-powered safety analytics. The integration of AI with IoT, drones, and wearable devices is enabling a new era of connected construction environments where safety is monitored continuously and in real-time. These technologies facilitate comprehensive site hazard detection, equipment monitoring, and worker tracking, significantly improving incident response times and overall site safety. Additionally, the shift towards digital transformation in construction, spurred by the need for operational efficiency and cost-effectiveness, is fostering greater acceptance of AI-driven solutions. Construction companies are increasingly recognizing the value of data-driven decision-making, which not only enhances safety outcomes but also contributes to project profitability and sustainability.

From a regional perspective, North America currently leads the AI-Powered Construction Safety Analytics market, owing to its advanced construction sector, high adoption of digital technologies, and stringent safety regulations. However, Asia Pacific is emerging as a high-growth region, driven by rapid urbanization, significant infrastructure investments, and increasing awareness of workplace safety. Countries such as China, India, and Japan are witnessing a surge in smart construction initiatives, supported by government policies and growing investments in AI and IoT technologies. Europe also represents a substantial market share, characterized by strong regulatory frameworks and a focus on sustainable construction practices. Meanwhile, regions like Latin America and the Middle East & Africa are gradually embracing AI-powered safety analytics as part of broader efforts to modernize their construction industries and enhance worker safety standards.

Component Analysis

The AI-Powered Construct

Human factor in contributing to occupational accidents in the Mass Rapid Transit (MRT) construction industry in Malaysia. Based on earlier studies, it can be concluded that the factors affecting occupational accidents can be divided into five factors namely human (worker); workplace; materials and equipment; management; and environmental influences. Human factor is the major contributor to overall occupational accidents in the construction sites compared to other factors. Human factor can be divided into four main aspects namely attitude; dangerous behaviour; human physical and physiological; and competency.

Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Compliance officers, except agriculture, construction, health and safety, and transportation occupations: 16 years and over (LEU0254528300A) from 2000 to 2010 about compliance officers, safety, second quartile, occupation, full-time, health, agriculture, transportation, salaries, workers, earnings, 16 years +, construction, wages, median, employment, and USA.

The Occupational Health and Safety in Construction market plays a pivotal role in ensuring the well-being of workers within one of the most hazardous industries worldwide. This sector encompasses a broad range of activities aimed at minimizing risks and preventing accidents, injuries, and illnesses among constructio

This is construction site safety signal light data provided by the Korea Occupational Safety and Health Agency. You can check the latest technical guidance results of construction sites (medium and small construction sites) subject to technical guidance by construction accident prevention specialized guidance institutions. ※ callApiId = 1020 (Required as a fixed value) ※ Only workplaces where accident prevention technical guidance is in progress are displayed ※ Usage reference: Korea Occupational Safety and Health Agency website (www.kosha.or.kr) > Daily Construction Safety Management Situation Board > Construction Site Safety Signal Lights (Inspection results can be distinguished by color and used) ※ Related: Article 73 of the Occupational Safety and Health Act (Industrial Accident Prevention Guidance for Construction Work) ① A construction project orderer or construction contractor (excluding a contractor who first received a construction project from a construction project orderer) of a construction project prescribed by Presidential Decree shall, when commencing the construction project, enter into a guidance contract for the prevention of construction industrial accidents with a specialized institution designated pursuant to Article 74 (hereinafter referred to as “construction accident prevention specialized guidance institution”). ② The construction disaster prevention specialized guidance institution shall provide guidance to construction contractors for the prevention of industrial accidents, and the construction contractors shall take appropriate measures in accordance with the guidance. ③ The contents of the guidance work of the construction disaster prevention specialized guidance institution, the areas subject to guidance, the method of conducting guidance, and other necessary matters shall be prescribed by Presidential Decree.

This dataset contains raw quantitative survey data collected to investigate the perceived roles and responsibilities of various stakeholders in promoting the positive mental health of construction workers. The data was obtained using a structured questionnaire distributed to workers within the construction industry in Lagos State, Nigeria. This dataset is a valuable resource for researchers, policymakers, and industry professionals interested in occupational health and safety, mental well-being, and construction management. It provides empirical evidence that can be used for statistical analysis to identify key stakeholder responsibilities, inform policy development, and design targeted interventions to improve the psychological well-being of construction workers.

This dataset contains raw quantitative survey data collected as part of an exploratory study into the mental health status and overall well-being of professional and non-professional construction workers in Lagos State, Nigeria. The data was gathered through a structured questionnaire designed to assess various aspects of psychological and emotional health. The dataset includes demographic information about the respondents, as well as their responses to a series of questions related to their feelings, behaviours, and coping mechanisms. This makes the dataset suitable for a wide range of statistical analyses, including descriptive statistics, correlation studies, and group comparisons.

This dataset is a valuable resource for researchers, public health professionals, and construction industry stakeholders interested in occupational health and safety, mental well-being, and the psychological impact of the construction work environment. It provides empirical data to inform the development of mental health support programs and policies for construction workers.

Abstract Interventions in work environments, processes, and situations encompass the prevention of diseases and accidents and workers’ health promotion. Historically, these actions were originally the responsibility of the Ministry of Labor, being extended to the Ministry of Health, and later to the Ministry of Labor. The aim of this study was to understand and give visibility to the work of the actors working in the different sectors and institutions involved in health and safety at work in the municipality of São Paulo and gain an insight into the barriers to intersectorality and the consequences of the lack of intersectoral collaboration for this area. Work reflection groups were created between 2017 and 2019 with professionals working in the abovementioned ministries and in the Labor Prosecution Office. The data were produced and analyzed drawing on the theoretical bases of the psychodynamics of work. Despite having intrinsically linked objectives, these three bodies in São Paulo continue to encounter difficulties in consolidating intersectorality as envisioned in occupational health and safety policies. Despite sporadic partnerships, merging specific actions, recognizing and mutually respecting each other’s expertise, avoiding overlaps, and building joint, cooperative, and collaborative practices remain challenges.

INSPIRE dataset for Human Health and Safety theme represents information about common health indexes and health services statistics in Lithuania. It covers information about population disease-specific mortality, adults', and school-age children's lifestyle habits. It is important to mention that the sample of data on adult's lifestyle habits research consists of 24889 surveyed adults aged 18 and over. Data sample on children's lifestyle habits research consists of 38633 surveyed school-aged (5, 7, 9 cl.) children. Statistics about average annual number of hospital beds in municipality shows the number of beds in use per calendar year in each municipality. Environmental aspects related with human health and safety elements as bathing places, noise values, and road traffic accidents.

Data provided by the Institute of Hygiene cover the layers "HH.HealthStatisticalData.Disease", HH.HealthDeterminantMeasure.Water, HH.HealthStatisticalData.HealthServices and HH.HealthStatisticalData.GeneralHealth.

Data provided by the Police Department covers the part ‘Safety’ of the Human Health and Safety theme.

The objects of the layer HH.HealthDeterminantMeasure.Noise are shown at a scale of 1:5 000.

Sensored High-Visibility Vest (Construction Safety) Market Outlook

According to our latest research, the global sensored high-visibility vest (construction safety) market size reached USD 1.34 billion in 2024, driven by rapid adoption of smart safety solutions across the construction sector. The market is projected to expand at a robust CAGR of 13.7% during the forecast period, reaching approximately USD 4.23 billion by 2033. This significant growth is underpinned by increasing regulatory mandates for worker safety, technological advancements in wearable devices, and the rising incidence of workplace accidents, all of which are fueling demand for innovative, sensor-enabled protective apparel in construction environments.

One of the most influential growth factors driving the sensored high-visibility vest market is the intensifying focus on occupational safety and health regulations worldwide. Construction sites are inherently hazardous, with high rates of accidents and fatalities attributed to poor visibility, especially in low-light or high-traffic environments. Governments and regulatory agencies, such as OSHA in the United States and the European Agency for Safety and Health at Work, have strengthened mandates requiring the use of advanced personal protective equipment (PPE). These mandates are compelling construction firms to invest in sensored vests that not only enhance visibility but also provide real-time monitoring and alerts, thereby reducing the risk of accidents and improving compliance with safety standards.

Another critical growth driver is the rapid advancement and integration of Internet of Things (IoT) and sensor technologies into wearable safety gear. Modern sensored high-visibility vests are equipped with features such as LED lighting, GPS tracking, and proximity sensors. These functionalities offer construction managers the ability to monitor worker locations, detect hazardous proximity to moving equipment, and provide instant alerts in case of emergencies. The growing adoption of such intelligent vests is transforming traditional safety practices, enabling proactive risk management, and fostering a culture of safety-first within the construction industry. This technological evolution is also encouraging manufacturers to innovate and differentiate their product offerings, further stimulating market growth.

Additionally, the ongoing digital transformation of the construction sector is accelerating market expansion. Construction companies are increasingly leveraging data analytics and connected devices to optimize site operations and enhance worker safety. Sensored high-visibility vests play a pivotal role in this ecosystem by generating real-time data on worker movements, exposure to hazards, and compliance with safety protocols. This data-driven approach is not only reducing incident rates but also delivering substantial cost savings by minimizing downtime and insurance claims. As a result, investment in smart PPE, particularly sensored vests, is becoming a strategic priority for construction firms seeking to enhance productivity and maintain a competitive edge.

The advent of Smart Safety Vest Monitoring has revolutionized the construction safety landscape. By integrating advanced sensor technologies and real-time data analytics, these vests provide unparalleled insights into worker safety and site conditions. Smart Safety Vest Monitoring systems enable construction managers to track the health and safety metrics of their workforce, offering alerts on potential hazards such as heat stress, falls, or proximity to dangerous equipment. This proactive approach not only enhances individual worker safety but also contributes to a safer overall work environment, reducing the incidence of accidents and promoting a culture of safety-first. As the construction industry continues to embrace digital transformation, the role of smart monitoring systems is becoming increasingly pivotal in ensuring compliance with stringent safety regulations and optimizing operational efficiency.

From a regional perspective, Asia Pacific is emerging as the fastest-growing market for sensored high-visibility vests, driven by rapid urbanization, large-scale infrastructure projects, and increasing awareness of workplace safety standards. North America and Europe continue t

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?

In 2023/24, there were approximately 33.7 million working days lost in Great Britain due to work-related injury or illness, compared with the previous year, which had 37 million working days lost. The amount of working days lost in 2019/20 was the highest in this provided time period, with 2010/11 having the fewest in this time period, at 25,950. In terms of overall sickness absence in the UK labor market, there were approximately 185.6 million working days lost in 2022, compared with 149.8 million in the previous year. Over 2.8 million on long-term sick leave in late 2023 In the fourth quarter of 2023, the number of people economically inactive in the UK due to being on long-term sick leave reached over 2.84 million, declining only slightly to 2.77 million a year later. It is thought that Long COVID is one of the main factors behind this increase, with an estimated 1.8 million people suffering from the condition in April 2022. There has also been a rise in the number of people taking sick leave due to mental health conditions, with approximately 313,000 on long-term sick leave in 2022 due to this reason, and a further 282,000 for depression, bad nerves, or anxiety. Where most workplace injuries happen The water supply and waste management industry had the highest rate of workplace injuries reported in Great Britain in 2023/24 at 804 injuries per 100,000 workers. During the 2022/23 reporting year, the industry with the highest number of fatal accidents in the workplace was construction, which had 51. When adjusted for the size of the workforce, however, construction was second to Agriculture, which had 7.51 fatal accidents per 100,00 workers. Overall, however, the number of people getting injured at work has fallen significantly in recent years. In 2000/01 for example, there were more than a million accidents, with this falling to just 604,000 in 2023/24.