The Inspections Evaluation Analytical Dataset is an administrative dataset structured at the level of the employer-industry-year-month using a combination of data from employer and claim-level workers compensation data, and OHS regulatory enforcement activity. The underlying data were provided to the Partnership for Work, Health and Safety (PWHS) by the Alberta Workers Compensation Board (WCB) and the Government of Alberta for the purposes of conducting an evaluation of the effect of regulatory enforcement activities on firm-level injury rates.

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

This dataset provides total numbers of events that have been reported to the Ministry of Labour. Events are categorized as work refusals, complaints, incidents, illnesses, occurrences, disputes or work stoppages registered with the ministry regarding health and safety issues. 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 From 2011/2012 to 2014/2015, the date range collected is based on the 'event date' data field from the Ministry of Labour Case Management System. This data is a total number of unique ministry event IDs. Data are subject to change due to updates to the case management system. *[IDs]: identifications

Abstract copyright UK Data Service and data collection copyright owner.

Background to the series
The Welsh Health Survey (WHS), which ran from 1995-1998 and then from 2003/04-2015, collected information about the health of people living in Wales, the way they use health services, and the factors that can affect their health. The WHS ceased in 2015. From April 2016 health and health related lifestyles are reported on using the National Survey for Wales.

The first two survey years (1995, not held at the UK Data Archive, and 1998 (SN 4176))were carried out by a consortium comprising the National Centre for Social Research (now NatCen Social Research), Beaufort Research Limited, and the Department of Epidemiology and Public Health at University College London. From 2005/06 onwards, NatCen Social Research had sole responsibility for conducting the survey. For further details, see documentation.

Aims of the WHS:
The WHS was designed to:

• provide estimates of health status, health determinants and health service use
• contribute to setting and monitoring targets and indicators in the health strategies and National Service Frameworks
• examine differences between population subgroups (such as sex, age, social class) and local areas
• provide a direct measurement of need for health care for National Health Service resource allocation in Wales
• provide local health board- and local authority-level information for the development of joint local health, social care and well-being strategies

The WHS is based on a representative sample of adults aged 16 and over living in private households in Wales. In addition, up to two children aged 0 to 15 were randomly selected from each household. For further details, see documentation.

Differences between the standard access End User Licence version and the Special Licence access version:
The standard access End User Licence WHS does not include unitary authority, strata and PSU as these variables pose a potential risk of disclosure. These variables are included in the Special Licence access versions from 2003/04 onwards. For further information on how to make an application for the Special Licence data, see the ACCESS section.

Further information:
Further information, including links to publications, may be found on the Welsh Assembly Government's Welsh Health Survey web pages and the NatCen Social Research Welsh Health Survey webpage.


The current WHS replaced two previous surveys; the former Welsh Health Survey (undertaken in 1995 and 1998) and the former Health in Wales Survey (undertaken every two to three years between 1985 and 1996). Results from this survey are not comparable with those from the previous surveys because of differences in the questionnaires and survey methodology.

The Special Licence data covers the Welsh Health Survey 2013, which ran from January 2013, and is designed to be used with the standard Welsh Health data for that year.

These Special Licence datasets are designed to allow users access to Unitary Authority under Special Licence.

Data for WHS 2003-04, WHS 2004-05, WHS 2005-06, WHS 2007, WHS 2008, WHS 2009, WHS 2010, WHS 2011, WHS 2012 and WHS 2013 are also deposited with the Data Archive (SN 5692, 5693, 5750, 6052, 6372, 6589, 6895, SN 7188, SN 7459 and SN 7632). Special Licence datasets are deposited with the Data Archive for WHS 2009 (SN 7486), WHS 2010 (SN 7487), WHS 2011 (SN 7488) and WHS 2012 (SN 7489).

Further information about the WHS, including links to publications, may be found on the Welsh Government's Welsh Health Survey web pages.

The EUL version of the WHS 2013 is held at the UK Data Archive under SN 7632.



Main Topics:

Main topics covered in the Special Licence WHS 2013 data include:

• Unitary Authority and individual serial number unique for survey year and respondent.

Special Licence datasets to be linked with standard (EUL) Welsh Health data available under SN 7632.

The Military Bases dataset was last updated on October 23, 2024 and are defined by Fiscal Year 2023 data, from the Office of the Assistant Secretary of Defense for Energy, Installations, and Environment and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The dataset depicts the authoritative locations of the most commonly known Department of Defense (DoD) sites, installations, ranges, and training areas world-wide. These sites encompass land which is federally owned or otherwise managed. This dataset was created from source data provided by the four Military Service Component headquarters and was compiled by the Defense Installation Spatial Data Infrastructure (DISDI) Program within the Office of the Assistant Secretary of Defense for Energy, Installations, and Environment. Only sites reported in the BSR or released in a map supplementing the Foreign Investment Risk Review Modernization Act of 2018 (FIRRMA) Real Estate Regulation (31 CFR Part 802) were considered for inclusion. This list does not necessarily represent a comprehensive collection of all Department of Defense facilities. For inventory purposes, installations are comprised of sites, where a site is defined as a specific geographic location of federally owned or managed land and is assigned to military installation. DoD installations are commonly referred to as a base, camp, post, station, yard, center, homeport facility for any ship, or other activity under the jurisdiction, custody, control of the DoD.

While every attempt has been made to provide the best available data quality, this data set is intended for use at mapping scales between 1:50,000 and 1:3,000,000. For this reason, boundaries in this data set may not perfectly align with DoD site boundaries depicted in other federal data sources. Maps produced at a scale of 1:50,000 or smaller which otherwise comply with National Map Accuracy Standards, will remain compliant when this data is incorporated. Boundary data is most suitable for larger scale maps; point locations are better suited for mapping scales between 1:250,000 and 1:3,000,000.

If a site is part of a Joint Base (effective/designated on 1 October, 2010) as established under the 2005 Base Realignment and Closure process, it is attributed with the name of the Joint Base. All sites comprising a Joint Base are also attributed to the responsible DoD Component, which is not necessarily the pre-2005 Component responsible for the site.

Abstract copyright UK Data Service and data collection copyright owner.

The Welsh Health Survey (WHS) collects information about the health of people living in Wales, including health status, lifestyle and health behaviours, and use of health services. This dataset covers the sixth year of the current WHS, which ran for 12 months from January 2009. This teaching dataset provides a simplified introductory to the WHS and contains a selection of key variables for adults. With fewer variables than the main WHS dataset, it is easier to use and may be particularly helpful for new users.

WHS in its current form began in 2003. The survey is funded by the Welsh Assembly Government (WAG) and is carried out by the National Centre for Social Research (NatCen). Each year, data is collected from a representative sample of around 15,000 adults and 3,000 children in Wales, using a short household interview and individual self-completion questionnaires completed by all adults and up to two children in each household.

The content of the adult questionnaire has remained fairly stable since 2003, covering:

• health status, including general health and wellbeing, illness, eyesight and hearing
• health-related behaviours such as smoking, drinking, fruit and vegetable consumption, Body Mass Index and physical activity
• health services including GP, hospital visits and use of other services like dentists, opticians and NHS Direct

Welsh Health Survey, 2009: Teaching Dataset (Adults) is a simplified introductory dataset which covers adults only. The main WHS 2009 adult dataset (available from the UK Data Archive under SN 6589) contains over 400 variables. This teaching dataset is a slimmed down version containing 54 key variables. This makes it easier to use, particularly for new or occasional users. All adult respondents are included in the dataset, and so any results produced from it should match those derived from the more detailed dataset and those shown in the WHS annual report.

Main Topics:

The dataset includes key variables from the WHS 2009 adult data file. Topics covered are health service use, health status, medicines, illnesses and other health problems, and health-related lifestyle (including smoking, alcohol, diet and exercise).

The Welsh Health Survey (WHS) collects information about the health of people living in Wales, the way they use health services, and then things that can affect their health. This dataset covers the eleventh year of the current WHS, which ran for 12 months from January 2014.

The current WHS replaced two previous surveys; the former Welsh Health Survey (undertaken in 1995 and 1998) and the former Health in Wales Survey (undertaken every two to three years between 1985 and 1996). Results from this survey are not comparable with those from the previous surveys because of differences in the questionnaires and survey methodology.

The survey is designed to:

• provide national estimates of health and health-related lifestyle
• examine differences between population sub-groups and local areas
• provide evidence to inform and monitor policies and strategies for promoting better health
• provide data for setting and monitoring targets and indicators
• provide local authority level information for development of joint local health, social care and well-being strategies

The WHS is based on a representative sample of adults aged 16 and over living in private households in Wales. In addition, up to two children aged 0 to 15 were randomly selected from each household.

Data for WHS 2003-04, WHS 2004-05, WHS 2005-06, WHS 2007, WHS 2008, WHS 2009, WHS 2010, WHS 2011, WHS 2012 and WHS 2013 are also deposited with the Data Archive (SN 5692, 5693, 5750, 6052, 6372, 6589, 6895, 7188, 7459 and 7632).

There are also Special Licence datasets, with Local Authority, for several survey years. WHS 2009 (SN 7486), WHS 2010 (SN 7487), WHS 2011 (SN 7488), WHS 2012 (SN 7489) and WHS 2013 (SN 7633) have Special Licence datasets deposited with the Data Archive.

Further information about the WHS, including links to publications, may be found on the Welsh Government's Welsh Health Survey web pages.

Contains research data collected in support of a study to apply a conceptual framework of occupational health and safety vulnerability to a sample of Alberta workers, which was then compared with similar samples from Ontario and British Columbia.

Contains research data collected in support of a research study conducted to determine whether exposure to welding fumes results in changes in metals and metabolites found in urine samples from welders.

Abstract

The multi-country Study on Global Ageing and Adult Health (SAGE) is run by the World Health Organization's Multi-Country Studies unit in the Health Systems and Innovation Cluster. SAGE is part of the unit's Longitudinal Study Programme which is compiling longitudinal data on the health and well-being of adult populations, and the ageing process, through primary data collection and secondary data analysis. SAGE baseline data (Wave 0, 2002/3) was collected as part of WHO's World Health Survey http://www.who.int/healthinfo/survey/en/index.html (WHS). SAGE Wave 2 (2014/15) provides a comprehensive data set on the health and well-being of adults in six low and middle-income countries: China, Ghana, India, Mexico, Russian Federation and South Africa.

Objectives: To obtain reliable, valid and comparable health, health-related and well-being data over a range of key domains for adult and older adult populations in nationally representative samples To examine patterns and dynamics of age-related changes in health and well-being using longitudinal follow-up of a cohort as they age, and to investigate socio-economic consequences of these health changes To supplement and cross-validate self-reported measures of health and the anchoring vignette approach to improving comparability of self-reported measures, through measured performance tests for selected health domains To collect health examination and biomarker data that improves reliability of morbidity and risk factor data and to objectively monitor the effect of interventions

Additional Objectives: To generate large cohorts of older adult populations and comparison cohorts of younger populations for following-up intermediate outcomes, monitoring trends, examining transitions and life events, and addressing relationships between determinants and health, well-being and health-related outcomes To develop a mechanism to link survey data to demographic surveillance site data To build linkages with other national and multi-country ageing studies To improve the methodologies to enhance the reliability and validity of health outcomes and determinants data To provide a public-access information base to engage all stakeholders, including national policy makers and health systems planners, in planning and decision-making processes about the health and well-being of older adults

Methods: SAGE's first full round of data collection included both follow-up and new respondents in most participating countries. The goal of the sampling design was to obtain a nationally representative cohort of persons aged 50 years and older, with a smaller cohort of persons aged 18 to 49 for comparison purposes. In the older households, all persons aged 50+ years (for example, spouses and siblings) were invited to participate. Proxy respondents were identified for respondents who were unable to respond for themselves. Standardized SAGE survey instruments were used in all countries consisting of five main parts: 1) household questionnaire; 2) individual questionnaire; 3) proxy questionnaire; 4) verbal autopsy questionnaire; and, 5) appendices including showcards. A VAQ was completed for deaths in the household over the last 24 months. The procedures for including country-specific adaptations to the standardized questionnaire and translations into local languages from English follow those developed by and used for the World Health Survey.

Content: - Household questionnaire 0000 Coversheet 0100 Sampling Information 0200 Geocoding and GPS Information 0300 Recontact Information 0350 Contact Record 0400 Household Roster 0450 Kish Tables and Household Consent 0500 Housing 0600 Household and Family Support Networks and Transfers 0700 Assets and Household Income 0800 Household Expenditures 0900 Interviewer Observations

• Verbal Autopsy questionnaire Section 1: Information on the Deceased and Date/Place of Death Section 1A7: Vital Registration and Certification Section 2: Information on the Respondent Section 3A: Medical History Associated with Final Illness Section 3B: General Signs and Symptoms Associated with Final Illness Section 3E: History of Injuries/Accidents Section 3G: Health Service Utilization Section 4: Background Section 5A: Interviewer Observations

• Individual questionnaire 1000 Socio-Demographic Characteristics 1500 Work History and Benefits 2000 Health State Descriptions 2500 Anthropometrics, Performance Tests and Biomarkers 3000 Risk Factors and Preventive Health Behaviours 4000 Chronic Conditions and Health Services Coverage 5000 Health Care Utilisation 6000 Social Networks 7000 Subjective Well-Being and Quality of Life (WHOQoL-8 and Day Reconstruction Method) 8000 Impact of Caregiving 9000 Interviewer Assessment

• Proxy Questionnaire Section1 Respondent Characteristics and IQ CODE Section2 Health State Descriptions Section4 Chronic Conditions and Health Services Coverage Section5 Health Care Utilisation

Geographic coverage

National coverage

Analysis unit

households and individuals

Universe

The household section of the survey covered all households in 31 of the 32 federal states in Mexico. Colima was excluded. Institutionalised populations are excluded. The individual section covered all persons aged 18 years and older residing within individual households. As the focus of SAGE is older adults, a much larger sample of respondents aged 50 years and older was selected with a smaller comparative sample of respondents aged 18-49 years.

Kind of data

Sample survey data [ssd]

Sampling procedure

In Mexico strata were defined by locality (metropolitan, urban, rural). All 211 PSUs selected for wave 1 were included in the wave 2 sample. A sub-sample of 211 PSUs was selected from the 797 WHS PSUs for the wave 1 sample. The Basic Geo-Statistical Areas (AGEB) defined by the National Institute of Statistics (INEGI) constitutes a PSU. PSUs were selected probability proportional to three factors: a) (WHS/SAGE Wave 0 50plus): number of WHS/SAGE Wave 0 50-plus interviewed at the PSU, b) (State Population): population of the state to which the PSU belongs, c) (WHS/SAGE Wave 0 PSU at county): number of PSUs selected from the county to which the PSU belongs for the WHS/SAGE Wave 0 The first and third factors were included to reduce geographic dispersion. Factor two affords states with larger populations a greater chance of selection.

All WHS/SAGE Wave 0 individuals aged 50 years or older in the selected rural or urban PSUs and a random sample 90% of individuals aged 50 years or older in metropolitan PSUs who had been interviewed for the WHS/SAGE Wave 0 were included in the SAGE Wave 1 ''primary'' sample. The remaining 10% of WHS/SAGE Wave 0 individuals aged 50 years or older in metropolitan areas were then allocated as a ''replacement'' sample for individuals who could not be contacted or did not consent to participate in SAGE Wave 1. A systematic sample of 1000 WHS/SAGE Wave 0 individuals aged 18-49 across all selected PSUs was selected as the ''primary'' sample and 500 as a ''replacement'' sample.

This selection process resulted in a sample which had an over-representation of individuals from metropolitan strata; therefore, it was decided to increase the number of individuals aged 50 years or older from rural and urban strata. This was achieved by including individuals who had not been part of WHS/SAGE Wave 0 (which became a ''supplementary'' sample), although the household in which they lived included an individual from WHS/SAGE Wave 0. All individuals aged 50 or over were included from rural and urban ''18-49 households'' (that is, where an individual aged 18-49 was included in WHS/SAGE Wave 0) as part of the ''primary supplementary'' sample. A systematic random sample of individuals aged 50 years or older was then obtained from urban and rural households where an individual had already been selected as part of the 50 years and older or 18-49 samples. These individuals then formed part of the ''primary supplementary'' sample and the remainder (that is, those not systematically selected) were allocated to the ''replacement supplementary'' sample. Thus, all individuals aged 50 years or older who lived in households in urban and rural PSUs obtained for SAGE Wave 1 were selected as either a primary or replacement participant. A final ''replacement'' sample for the 50 and over age group was obtained from a systematic sample of all individuals aged 50 or over from households which included the individuals already selected for either the 50 and over or 18-49. This sampling strategy also provided participants who had not been included in WHS/SAGE Wave 0, but lived in a household where an individual had been part of WHS/SAGE Wave 0 (that is, the ''supplementary'' sample), in addition to follow-up of individuals who had been included in the WHS/SAGE Wave 0 sample.

Strata: Locality = 3 PSU: AGEBs = 211 SSU: Households = 6549 surveyed TSU: Individual = 6342 surveyed

Mode of data collection

Face-to-face [f2f], CAPI

Research instrument

The questionnaires were based on the SAGE Wave 1 Questionnaires with some modification and new additions, except for verbal autopsy. SAGE Wave 2 used the 2012 version of the WHO Verbal Autopsy Questionnare. SAGE Wave 1 used an adapted version of the Sample Vital Registration iwth Verbal Autopsy (SAVVY) questionnaire. A Household questionnaire was administered to all households eligible for the study. A Verbal Autopsy questionnaire was administered to 50 plus households only. In follow-up 50 plus household if the death occured since the last wave of the study and in a new 50 plus household if the death occurred in the

Abstract copyright UK Data Service and data collection copyright owner. The Welsh Health Survey (WHS) collects information about the health of people living in Wales, the way they use health services, and the factors that can affect their health. The current WHS series was commissioned by the Welsh Assembly Government (WAG), and carried out in both 2003-2004 and 2004-2005 by a consortium comprising the National Centre for Social Research (NatCen), Beaufort Research Limited, and the Department of Epidemiology and Public Health at University College London. In 2005-2006, NatCen had sole responsibility for conducting the survey and this has continued with the 2007 survey. The new WHS replaces two previous study series: the previous WHS, conducted in 1995 and 1998 (the 1998 WHS is held at the UK Data Archive under SN 4176), and the Health in Wales Survey which was conducted five times in 1985, 1988, 1990, 1993 and 1996 (none are currently held at the UKDA). Users should note that results from the new WHS survey are not comparable with those from the previous surveys, because of differences in the questionnaires and survey methodology. The new WHS is designed to:provide estimates of health status, health determinants and health service usecontribute to setting and monitoring targets and indicators in the health strategies and National Service Frameworksexamine differences between population subgroups (such as sex, age, social class) and local areasprovide a direct measurement of need for health care for National Health Service resource allocation in Walesprovide local health board- and local authority-level information for the development of joint local health, social care and well-being strategiesThe WHS is based on a representative sample of adults aged 16 and over living in private households in Wales. In addition, up to two children aged 0 to 15 were randomly selected from each household. The 2007 survey marks the introduction of more extensive survey elements for children than have been used for previous years of the WHS. Three age-specific questionnaires were used for children selected to participate in the survey. Two questionnaires were given to parents to complete on behalf of selected children aged 0 to 3, and selected children aged 4 to 12; a third questionnaire was given to selected children aged 13 to 15 to complete on their own behalf. In addition, interviewers were asked to take height and weight measurements of selected children aged between 2 and 15 years, if children and parents consented. Results from this survey are not comparable with those from the previous surveys because of differences in the questionnaires and survey methodology. Further information about the WHS, including links to publications, may be found on the Welsh Assembly Government's WHS web pages. For the second edition (February 2011), the Welsh Health Survey All Waves User Guide was added to the study documentation. Main Topics: The main topics covered for adults are health service use, health status, illnesses and other conditions, and health-related lifestyle (including smoking, alcohol, diet and exercise). The main topics for children are health status, health service use, accidents, illnesses and other conditions, eating habits, physical activity and strengths and difficulties. Multi-stage stratified random sample Face-to-face interview Self-completion Clinical measurements

Abstract copyright UK Data Service and data collection copyright owner.

The Welsh Health Survey (WHS) collects information about the health of people living in Wales, the way they use health services, and then things that can affect their health. This dataset covers the tenth year of the current WHS, which ran for 12 months from January 2013.

The current WHS replaced two previous surveys; the former Welsh Health Survey (undertaken in 1995 and 1998) and the former Health in Wales Survey (undertaken every two to three years between 1985 and 1996). Results from this survey are not comparable with those from the previous surveys because of differences in the questionnaires and survey methodology.

The survey is designed to:

• Provide national estimates of health and health-related lifestyle;
  
• Examine differences between population sub-groups and local areas;
  
• Provide evidence to inform and monitor policies and strategies for promoting better health;
  
• Provide data for setting and monitoring targets and indicators;
  
• Provide local authority level information for development of joint local health, social care and well-being strategies.

The WHS is based on a representative sample of adults aged 16 and over living in private households in Wales. In addition, up to two children aged 0 to 15 were randomly selected from each household.

Data for WHS 2003-04, WHS 2004-05, WHS 2005-06, WHS 2007, WHS 2008, WHS 2009, WHS 2010, WHS 2011 and WHS 2012 are also deposited with the Data Archive (SN 5692, 5693, 5750, 6052, 6372, 6589, 6895, 7188 and 7459).

There are also Special Licence datasets, with Local Authority, for several survey years. WHS 2009 (SN 7486), WHS 2010 (SN 7487), WHS 2011 (SN 7488) and WHS 2012 (SN 7489) have Special Licence datasets deposited with the Data Archive.

Further information about the WHS, including links to publications, may be found on the Welsh Government's Welsh Health Survey web pages.

The Special Licence version of the WHS 2013 is held at the UK Data Archive under SN 7633.
Main Topics:

The main topics covered for adults are:

• general health and wellbeing;
• health service use;
• medicines and illnesses;
• untreated problems or symptoms;
• alcohol consumption and smoking;
• fruit and vegetable consumption;
• exercise;
• carers;
• height and weight;
• demographics;
• infant feeding.

The main topics covered for children are:

• health status;
• health service use;
• accidents;
• illnesses and other health problems;
• eating habits;
• physical activity and strengths and difficulties (SDQ).

The 2018-19 Occupational Health and Safety (OHS) survey was the first known occupational health and safety population survey conducted in Alberta. The survey was designed to provide baseline data for future comparisons. The objectives of the survey were to provide data on a variety of factors affecting worker health and safety, understand the relationships between factors affecting worker health and safety, gain insight on worker vulnerability, and understand industry and occupation specific factors over time. A total of 8,464 records were validated and included in the public use data file.

Contains research data collected in support of a research study conducted to determine whether firms certified under Alberta's Certificate of Recognition (COR) program have lower injury rates compared to similar non-certified firms.

Contains research data collected in support of a study investigating whether, under the conditions found in Alberta’s bakeries, health effects were present that could be attributed to exposure to sensitizers found in flour and other products used in baking.

The Welsh Health Survey (WHS), which ran from 1995-1998 and then 2003/04-2015, collected information about the health of people living in Wales, the way they use health services, and then things that can affect their health. This dataset covers the twelfth and last year of the WHS. From April 2016 health and health related lifestyles are reported on using the National Survey for Wales.

The WHS replaced two previous surveys; the former Welsh Health Survey (undertaken in 1995 (not held at the UK Data Archive) and 1998 (SN 4176)) and the former Health in Wales Survey (undertaken every two to three years between 1985 and 1996). Results from this survey are not comparable with those from the previous surveys because of differences in the questionnaires and survey methodology.

The survey was designed to:

• provide national estimates of health and health-related lifestyle
• examine differences between population sub-groups and local areas
• provide evidence to inform and monitor policies and strategies for promoting better health
• provide data for setting and monitoring targets and indicators
• provide local authority level information for development of joint local health, social care and well-being strategies

The WHS was based on a representative sample of adults aged 16 and over living in private households in Wales. In addition, up to two children aged 0 to 15 were randomly selected from each household.

Further information about the WHS, including links to publications, may be found on the Welsh Government's Welsh Health Survey web pages.

When an inspector finds that health and safety legislation or regulations are not being complied with, a written order is issued to comply with the legislation/regulation within a certain time period. Data from the Ministry of Labour reflects Occupational Health and Safety (OHS) and Employment Standards (ES) are captured at a point in time and/or for specific reporting purposes. As a result, the information above may not align with other data sources.

Abstract

Stats SA conducted the October Household Survey (OHS) annually from 1994 to 1999, based on a probability sample of a large number of households ranging from 16 000 to 30 000 households each year (depending on availability of funding). This survey was discontinued in 1999 due to the reprioritisation of surveys in the face of financial constraints. February 2000 saw the birth of the Labour Force Survey (LFS), which is a biannual survey conducted by Stats SA in March and September of each year. The LFS covers some areas previously covered by the OHS, but not all, since it is a specialised survey principally designed to measure the dynamics in the labour market. The September LFS each year does include a section designed to measure social indicators such as access to infrastructure, but again this section does not go into as much depth as the OHS used to. A need was therefore identified by our users for a regular survey designed specifically to measure the level of development and the performance of government programmes and projects. The General Household Survey (GHS) was developed for this purpose. While the survey replaces the October Household Survey (OHS), the indicators measured in the 13 nodal areas identified for the Integrated Rural Development Strategy (IRSD) formed the basis for the subject matter of the survey. The first round of the GHS was conducted in July 2002 and the second round in July 2003.

Geographic coverage

The scope of the General Household Survey 2003 was national coverage.

Analysis unit

The units of anaylsis for the General Household Survey 2003 are individuals and households.

Universe

The survey covered all de jure household members (usual residents) of households in the nine provinces of South Africa and residents in workers' hostels. The survey does not cover collective living quarters such as students' hostels, old age homes, hospitals, prisons and military barracks.

Kind of data

Sample survey data [ssd]

Sampling procedure

For the GHS 2003 a multi-stage stratified sample was drawn using probability proportional to size principles.

The sample was drawn from the master sample, which Statistics South Africa uses to draw samples for its regular household surveys. The master sample is drawn from the database of enumeration areas (EAs) established during the demarcation phase of Census 1996. As part of the master sample, small EAs consisting of fewer than 100 households are combined with adjacent EAs to form primary sampling units (PSUs) of at least 100 households, to allow for repeated sampling of dwelling units within each PSU. The sampling procedure for the master sample involves explicit stratification by province and within each province, by urban and non-urban areas. Within each stratum, the sample was allocated disproportionately. A PPS sample of PSUs was drawn in each stratum, with the measure of size being the number of households in the PSU. Altogether approximately 3 000 PSUs were selected. In each selected PSU a systematic sample of ten dwelling units was drawn, thus, resulting in approximately 30 000 dwelling units. All households in the sampled dwelling units were enumerated. The master sample is divided into five independent clusters. In order to avoid respondent fatigue (the LFS is a rotating panel survey which is conducted twice yearly), the GHS sample uses a different cluster from the LFS clusters.

Mode of data collection

Face-to-face [f2f]

Research instrument

The GHS 2003 questionnaire collected data on: Household characteristics: Dwelling type, home ownership, access to water and sanitation facilities, access to services, transport, household assets, land ownership, agricultural production Individuals' characteristics: demographic characteristics, relationship to household head, marital status, language, education, employment, income, health, disability, access to social services, mortality. Women's characteristics: fertility

Response rate

Response codes Number of responses % Completed 26 469 84.7 Non-contact 897 2.9 Refusal 645 2.1 Partly completed 18 0.1 Unusable information 1 0.0 Vacant 1 510 4.8 Listing error 246 0.8 Other 1 447 4.6 Total 31 233 100.0

The Ministry of Labour inspects workplaces to monitor compliance with occupational health and safety legislation and regulations. These are considered to be proactive field visits. The ministry focuses on workplaces and/or sectors of the economy that have a history of poor compliance or high levels of work-related injuries. 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.

The data is based information reported to Workers’ Compensation Board by March 31 for employers who are required to have WCB accounts. The dataset contain employer-specific information on occupational fatality, lost-time and disabling injury claims and presented as counts and rates. This information allows for the tracking of workplace health and safety performance indicators over time.