Abstract

A. Objective To generate national statistics on occupational injuries essential for better management of safety and health in the workplace and for formulation of effective policies and programs for the prevention of occupational accidents.

B. Uses of Data Guide policy makers, program planners, employers and workers in identifying persistent and new areas of risk at the workplace and in evaluating safety performance and effectiveness of current accident preventive measures; used in developing training materials and programs for accident prevention; and provide basis for identifying areas for future research.

C. Main Topics Covered Cases of occupational injuries Occupational accidents Cases of injuries due to commuting accidents

Geographic coverage

National, 16 administrative regions

Analysis unit

Establishment

Universe

Covered non-agricultural establishments employing 20 or more workers except national postal activities, central banking, public administration and defense and compulsory social security, public education services, public medical, dental and other health services, activities of membership organizations, extra territorial organizations and bodies.

Kind of data

Sample survey data [ssd]

Sampling procedure

Statistical 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.

Survey universe/Sample frame: The sampling frame used for the survey was taken from the List of Establishments of the National Statistics Office. On a partial basis, this is regularly updated based on the responses to other surveys of the BLES, establishment reports on retrenchments and closures submitted to the Regional Offices of the Department of Labor and Employment and other establishment lists.

Sample design: Establishments are stratified by 3-digit industry level (except for industries observed to be heterogeneous within their 3-digit level and therefore requires further breakdown at the 4-digit classification) and by employment size. Geographical location was not considered in the stratification to allow for detailed industry disaggregation. Establishments with at least 100 workers were covered with certainty. The estimated number of sample establishments for the stratum 20-99 workers is the difference of the total number of establishments in the other two strata (100-199 and 200 and over) from the estimated sample size for the survey.

The estimated number of samples in each cell of this stratum was allocated proportionate to its population share to the stratum total population. The sample size for each cell was adjusted to build-in replacement, e.g., sample size divided by 0.8 as expected retrieval rate is 80 percent.

Sample size: For OIS 2000 , the sample size was 7,738, of which, 6,207 were found to be eligible sampling units.

Note: Refer to Field Operations Manual Chapter 1 Section 1.5.

Sampling deviation

Due to the inadequacy of the frame used, during field operations 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 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.

Mode of data collection

Other [oth] Mixed method: self accomplished, mailed, face to face

Research instrument

The questionnaire contains the following sections:

Cover Page - This contains the address box, status codes, information on the purpose of the survey, coverage, reference period, collection authority, authorized field personnel, confidentiality clause, due date, availability of results and assistance available.

Part A. General Information - This portion inquires on: a) main economic activity; b) major products/goods or services; c) average total employment by sex; d) normal working hours per day for majority of workers; e) total number of working days of the establishment; and f) total hours actually worked of all persons employed.

Part B. Occupational Accidents - This portion inquires on the occurrence and number of occupational accidents if there is any.

Part C. Occupational Injuries - This portion is to be accomplished if there have been occurrences of occupational accidents resulting to occupational injuries. It inquires on: a) cases of incapacity for work (fatal, permanent incapacity, temporary incapacity) and cases without lost workdays classified by major occupation group, type of injury, part of the body injured and cause of injury; b) lost workdays of cases of permanent and temporary incapacity classified by major occupation group, type of injury, part of the body injured and cause of injury.

Part D. Cases of Injury Due to Commuting Accidents - This portion inquires on the cases of injury due to commuting accidents and if any, the number of workers injured.

Part E. Certification of Respondent

Remarks - This space is provided for the respondent’s explanations on the given information and comments/suggestions on the survey.

Contact Person - This space is provided for the signature, name, position, telephone/fax numbers and e-mail address of the person responsible for filling out the form and the date the questionnaire was accomplished.

Note: Refer to Questionnaire.

Cleaning operations

Data are manually and electronically processed. Field editing was done by the enumerators to ensure completeness, consistency and reasonableness of entries in accordance with the field operations manual. Then, the process is replicated by their field supervisors. BLES personnel undertake the final review, coding of information used, data entry and validation and scrutiny of aggregated results for coherence. PC-Edit is used for editing and Microsoft Access data format.

Note: Refer to Field Operations Manual, Chapter 1, Section 1.11.

Response rate

The retrieval rate in terms of eligible units was 89.2%.

Sampling error estimates

Estimates of sampling error are not computed.

Data appraisal

The survey results are checked against administrative–based statistics on work injuries.

The use of artificial intelligence is likely to boost the ergonomic lifters market. AI's capabilities in predictive analytics and automation are enhancing the functionality and safety of these devices. For instance, AI analyzes usage data to predict maintenance needs, reducing downtime and extending the lifespan of the lifters.



Furthermore, AI-powered automation allows for precise control of lifting operations, minimizing the risk of accidents and injuries. Additionally, the integration of AI enables real-time monitoring of load weight and balance, ensuring optimal performance and preventing overloading.

Ergonomic Lifters Market Dynamics

Major Drivers

Growing adoption of automation in various industries fuels the market. Automation not only increases efficiency but also reduces the risk of human error. Ergonomic lifters play a crucial role in automated processes, especially in sectors including manufacturing and warehousing. The rising trend of automation is anticipated to boost the sales of these lifters.

Surging demand from the e-commerce sector is projected to boost the market. The exponential growth of e-commerce has led to an increased need for efficient warehousing and logistics solutions. Ergonomic lifters are essential for handling heavy goods in warehouses, making them indispensable in this sector. The continued expansion of e-commerce is projected to propel the market.

Existing Restraints

Surging demand for skilled labor is anticipated to hinder the market. The oper

Advances in assistive exoskeleton technology, and a boom in related scientific literature, prompted a need to review the potential use of exoskeletons in defence and security. A systematic review examined the evidence for successful augmentation of human performance in activities deemed most relevant to military tasks. Categories of activities were determined a priori through literature scoping and Human Factors workshops with military stakeholders. Workshops identified promising opportunities and risks for integration of exoskeletons into military use cases. The review revealed promising evidence for exoskeletons’ capacity to assist with load carriage, manual lifting, and working with tools. However, the review also revealed significant gaps in exoskeleton capabilities and likely performance levels required in the use case scenarios. Consequently, it was recommended that a future roadmap for introducing exoskeletons to military environments requires development of performance criteria for exoskeletons that can be used to implement a human-centred approach to research and development. We assessed the state-of-the-art for the use of wearable assistive exoskeletons in UK defence and security use cases. A full systematic review of the literature was undertaken, informed by use cases developed in military stakeholder workshops. Clear gaps in exoskeleton capability and use case requirements were identified, leading to recommendations for future work.

The Truck Lifts market serves as a crucial segment within the automotive and transportation industries, providing essential solutions for loading and unloading heavy freight efficiently and safely. These specialized lifting systems are designed to enhance operational productivity by reducing manual handling and mini

The global market size of Manual Lifting Machinerys is $XX million in 2018 with XX CAGR from 2014 to 2018, and it is expected to reach $XX million by the end of 2024 with a CAGR of XX% from 2019 to 2024.
Global Manual Lifting Machinerys Market Report 2019 - Market Size, Share, Price, Trend and Forecast is a professional and in-depth study on the current state of the global Manual Lifting Machinerys industry. The key insights of the report:
1.The report provides key statistics on the market status of the Manual Lifting Machinerys manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry.
2.The report provides a basic overview of the industry including its definition, applications and manufacturing technology.
3.The report presents the company profile, product specifications, capacity, production value, and 2013-2018 market shares for key vendors.
4.The total market is further divided by company, by country, and by application/type for the competitive landscape analysis.
5.The report estimates 2019-2024 market development trends of Manual Lifting Machinerys industry.
6.Analysis of upstream raw materials, downstream demand, and current market dynamics is also carried out
7.The report makes some important proposals for a new project of Manual Lifting Machinerys Industry before evaluating its feasibility.
There are 4 key segments covered in this report: competitor segment, product type segment, end use/application segment and geography segment.
For competitor segment, the report includes global key players of Manual Lifting Machinerys as well as some small players. At least 12 companies are included:
* KITO
* STAHL
* INGERSOLL RAND
* DEMAG
* Columbus McKinnon
* R& M MATERIAL HANDLING
For complete companies list, please ask for sample pages.
The information for each competitor includes:
* Company Profile
* Main Business Information
* SWOT Analysis
* Sales, Revenue, Price and Gross Margin
* Market Share

For product type segment, this report listed main product type of Manual Lifting Machinerys market
* Hydraulic
* Bridge
* Others
For end use/application segment, this report focuses on the status and outlook for key applications. End users sre also listed.
* Automotive
* Transportation
* Machenical
* Others

For geography segment, regional supply, application-wise and type-wise demand, major players, price is presented from 2013 to 2023. This report covers following regions:
* North America
* South America
* Asia & Pacific
* Europe
* MEA (Middle East and Africa)
The key countries in each region are taken into consideration as well, such as United States, China, Japan, India, Korea, ASEAN, Germany, France, UK, Italy, Spain, CIS, and Brazil etc.

Reasons to Purchase this Report:
* Analyzing the outlook of the market with the recent trends and SWOT analysis
* Market dynamics scenario, along with growth opportunities of the market in the years to come
* Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and non-economic aspects
* Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
* Market value (USD Million) and volume (Units Million) data for each segment and sub-segment
* Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
* Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players
* 1-year analyst support, along with the data support in excel format.
We also can offer customized report to fulfill special requirements of our clients. Regional and Countries report can be provided as well.

The National Health Interview Survey (NHIS) is an annual cross-sectional survey that collects information on a broad range of health topics; it was developed by the National Center for Health Statistics (NCHS) and is currently administered by the U.S. Census Bureau. NHIS datasets for the years 2007–2018 were combined to ensure an adequate sample size to study currently working male miners. During 2007–2018, the NHIS included four core modules. The Family and Sample Adult core modules were used in the study. The Family core module collected health and sociodemographic information on each member of each family within the household. The Sample Adult core module collected health and industry and occupation information for the randomly chosen sample adult from each household interviewed.

The automatic syringes market has been witnessing significant growth due to the increasing demand for safe and efficient drug delivery systems across various healthcare sectors. These devices, designed to administer medication without the need for manual handling, play a crucial role in mitigating risks associated w

The Overhead Hoist Transfer market has emerged as an essential component in various industrial sectors, designed to enhance operational efficiency and safety in the transportation of heavy materials. These systems enable the movement of goods and equipment along predefined pathways, minimizing manual handling and re

The dataset contains pressure insole data from twenty subjects who performed five tasks, comprising of two common daily activities (standing and walking), and three industry-focussed tasks (manual handling, assembly and pick and place). The speed and order in which a given task was completed was not prescribed. The data pertains to the areas of human factors, ergonomics and occupational health and safety research, among others, and enables an understanding of the force distributions involved in common tasks as well as physical and manufacturing type tasks.

This work is licensed under the Creative Commons Attribution 4.0 International License. If you are using our database to evaluate your methods, please cite:

O’Sullivan, P., Menolotto, M., Visentin, A., O’Flynn, B. and Komaris, D.S., 2024. AI-based Task Classification with Pressure Insoles for Occupational Safety. IEEE Access.

Safety Data Sheet Management Market size was valued at USD 14.9 Billion in 2024 and is projected to reach USD 25.4 Billion by 2031, growing at a CAGR of 7.8 % during the forecast period 2024-2031.

Stringent Regulatory Requirements: Increasing global regulations and compliance standards for hazardous materials drive the need for efficient SDS management systems.

Workplace Safety Concerns: Workplace safety is a paramount concern for businesses across diverse industries. An increasing focus on employee health and well-being has led companies to adopt stringent safety measures. Safety Data Sheets (SDS) are integral to these measures, providing detailed information on the properties and handling of hazardous chemicals. Effective SDS management systems ensure that employees are well-informed about the risks and safe handling procedures associated with chemicals they work with. This not only helps in complying with Occupational Safety and Health Administration (OSHA) standards but also mitigates the financial and reputational risks associated with workplace accidents. The growing emphasis on creating safer work environments has driven companies to seek comprehensive SDS management solutions, thus propelling the market forward. Growth in Chemical Industry: The chemical industry is experiencing robust growth, driven by increasing demand from sectors such as pharmaceuticals, agriculture, and manufacturing. As the volume and variety of chemicals being produced and used escalate, so does the complexity of managing their safety data. Regulatory bodies mandate that up-to-date and accurate SDS be provided and maintained for chemicals, ensuring safe usage, handling, and disposal. Companies in the chemical industry are consequently investing in advanced SDS management systems to streamline compliance with these regulations, manage inventory, and ensure that safety information is readily accessible. This sector’s expansion significantly contributes to the growth of the SDS management market. Technological Advancements: Technological advancements in digital solutions have revolutionized the SDS management landscape. Innovations like cloud-based platforms, Artificial Intelligence (AI), and mobile applications have made it easier and more efficient to manage, access, and update safety data sheets. These technologies offer real-time updates, enhanced accuracy, and improved accessibility, thereby improving compliance and reducing administrative burdens. AI can automate the extraction and updating of safety data, while mobile applications allow for on-the-go access to critical safety information. These technological advancements not only enhance operational efficiency but also provide a competitive edge to businesses, making them a driving force in the market. Environmental Regulations: Environmental regulations across the globe are becoming increasingly stringent, compelling organizations to adopt robust compliance mechanisms. Regulatory frameworks such as the Globally Harmonized System (GHS) for Classification and Labelling of Chemicals necessitate that businesses maintain accurate and up-to-date SDS. Compliance with these regulations is critical to avoid hefty fines, legal repercussions, and potential operational shutdowns. The increasing enforcement of environmental laws and standards drives the demand for efficient SDS management systems that can handle complex regulations and ensure seamless compliance. As a result, regulatory pressure acts as a significant market driver, pushing organizations to invest in advanced SDS management solutions. Globalization of Supply Chains: International trade and complex supply chains require standardized and accessible SDS documentation across borders. Risk Management: Companies are increasingly adopting SDS management systems to mitigate risks associated with hazardous materials and ensure swift response in emergencies. Cost Efficiency: Automated SDS management systems reduce administrative burden, minimize errors, and save costs associated with manual data handling. Corporate Responsibility and Sustainability: Growing emphasis on corporate social responsibility and sustainability practices encourages companies to adopt comprehensive SDS management systems. Digital Transformation: The shift towards digital transformation in various industries propels the adoption of electronic SDS management solutions.

The Manual Bin Lifters market plays a crucial role in a diverse array of industries, providing essential solutions for handling heavy bins and containers with increased safety and efficiency. These devices are primarily designed to reduce manual lifting strain on workers, thereby minimizing the risk of workplace inj

The Manual Scissor Lift Table market is a vital segment of the material handling industry, designed to enhance efficiency and safety in workplaces requiring elevation and lifting tasks. These versatile platforms provide a stable and adjustable work surface, allowing operators to perform tasks at various heights effo

The Contract Automation Software market has emerged as a pivotal solution for organizations seeking to streamline their contract management processes, enhance efficiency, and reduce risks associated with manual handling. This software enables businesses to create, edit, and store contracts electronically, significan

The Drum Tippers market plays a vital role in modern industrial operations, serving as essential equipment for safely and efficiently handling heavy drums containing liquids, powders, and other materials. These machines enable businesses to automate the tipping of drums without manual handling, significantly reducin

Summary balance and proprioception descriptive statistics per BMI classification. All data are reported as mean ± standard deviation. Values represent the difference between the test measurements taken before and after execution of the MMH task.

France Monthly Earnings Index: Manual Workers (MW): excl Agriculture data was reported at 129.400 Dec1998=100 in Sep 2008. This records an increase from the previous number of 128.500 Dec1998=100 for Jun 2008. France Monthly Earnings Index: Manual Workers (MW): excl Agriculture data is updated quarterly, averaging 103.900 Dec1998=100 from Mar 1993 (Median) to Sep 2008, with 63 observations. The data reached an all-time high of 129.400 Dec1998=100 in Sep 2008 and a record low of 88.300 Dec1998=100 in Mar 1993. France Monthly Earnings Index: Manual Workers (MW): excl Agriculture data remains active status in CEIC and is reported by Ministry of Labour, Employment and Health. The data is categorized under Global Database’s France – Table FR.G041: Labour Statistics: Monthly Earning Index: By Occupation: Dec1998=100.

France Hourly Earnings Index: Manual Workers (MW) data was reported at 116.700 Dec2008=100 in Mar 2018. This records an increase from the previous number of 115.800 Dec2008=100 for Dec 2017. France Hourly Earnings Index: Manual Workers (MW) data is updated quarterly, averaging 99.350 Dec2008=100 from Dec 1998 (Median) to Mar 2018, with 78 observations. The data reached an all-time high of 116.700 Dec2008=100 in Mar 2018 and a record low of 71.900 Dec2008=100 in Dec 1998. France Hourly Earnings Index: Manual Workers (MW) data remains active status in CEIC and is reported by Ministry of Labour, Employment and Health. The data is categorized under Global Database’s France – Table FR.G034: Labour Statistics: Hourly Earning Index: Dec2008=100. Rebased from Dec2008=100 to Jun2017=100 Replacement series ID: 408953587

Results mixed effects model with random effects. The estimate (or coefficient) provides the expected effect of the predictor. T-statistics and p-value assess whether this effect is statistically significant. A significant p-value is represented with (*).