For information on the institutional environment of the Australian Bureau of Statistics (ABS), including the legislative obligations of the ABS, financing and governance arrangements, and mechanisms for scrutiny of ABS operations, please see ABS Institutional Environment.
Relevance relates to the degree to which statistical information meets the needs of users. It involves client liaison, program review, priority setting and assuring that the statistics produced together with the underlying concepts conform with international statistical standards. The ABS regularly reviews its statistical programs to ensure that they remain relevant to user needs. For the work-related injuries topic, this happens primarily through the Labour Statistics Advisory Group and in consultation with key clients.
The concepts, definitions and classifications used in the work-related injuries topic help to ensure its relevance to clients. Work-related injuries data are classified according to the Type of Occurrence Classification System which is maintained by Safe Work Australia for coding workers' compensation claims. This includes a classification for the injury or illness itself, and a classification for how the injury or illness occurred. Other classifications, concepts and definitions used in this publication are consistent with those used in Labour Force, Australia (cat. no. 6202.0).
Data on work-related injuries were collected as part of the 2017-18 Multipurpose Household Survey (MPHS). The MPHS is a supplement to the monthly Labour Force Survey (LFS) and is designed to collect annual statistics on a small number of self-contained topics. The scope of the LFS is restricted to people aged 15 years and over and excludes members of the permanent defence forces; certain diplomatic personnel of overseas governments usually excluded from census and estimated resident populations; overseas residents in Australia; and members of non-Australian defence forces (and their dependants). The 2017-18 MPHS excluded people living in remote Aboriginal and Torres Strait Islander communities and people living in non-private dwellings such as hotels, university residences, students at boarding schools, patients in hospitals, inmates of prisons and residents of other institutions (e.g. retirement homes, homes for persons with disabilities).
The timeliness of statistical information refers to the delay between the reference period to which the information pertains and the date on which the information is made available. Work-Related Injuries, Australia (cat. no. 6324.0) is published approximately 5 months after the end of the enumeration period.
For sample surveys, accuracy describes how close a statistical estimate is likely to be to its true value. The accuracy of statistical estimates in sample surveys can be impacted by two types of error: non-sampling error and sampling error.
Non-sampling error arises from inaccuracies in collecting, recording and processing the data. Non-sampling error may also arise because information cannot be obtained from all persons selected in the survey. Every effort has been made to minimise non-sampling error for work-related injuries by designing effective questionnaires, providing appropriate training for interviewers, and undertaking good data processing procedures.
Sampling error occurs because a sample of the population of interest is surveyed, rather than the entire population. One measure of the likely difference resulting from not including all dwellings in the survey is given by the standard error (SE). There are about two chances in three that a sample estimate will differ by less than one SE from the figure that would have been obtained if all dwellings had been included in the survey, and about 19 chances in 20 that the difference will be less than two SEs. Measures of the relative standard errors (RSE) of the estimates for this survey are included with this release.
Only estimates (numbers and proportions) with RSEs less than 25% are considered sufficiently reliable for most purposes. Estimates with RSEs between 25% to 50% are annotated to indicate they are subject to high sample variability and should be used with caution. In addition, estimates with RSEs greater than 50% are annotated to indicate they are considered too unreliable for general use.
Coherence of statistical data includes coherence between different data items pertaining to the same point in time, coherence between the same data item for different points in time, and coherence between various jurisdictions.
Data on occupational injuries and illnesses are also compiled by SafeWork Australia using information supplied by Commonwealth, state and territory work cover authorities. Like the ABS work-related injuries data, this information is also disseminated using the Type of Occurrence Classification System. However, the population covered by the ABS estimates differs from SafeWork Australia's as it includes injuries sustained by all categories of employed workers; injuries that have been claimed under workers' compensation; and injuries that have not been claimed under workers' compensation.
Information in Work-Related Injuries, Australia (cat. no. 6324.0) uses the same standards, definitions and classifications that are used in Labour Force, Australia (cat. no. 6202.0), however estimates are not directly comparable due to differences in the scope and sample of the MPHS and the LFS.
International recommendations on the concepts associated with work-related hazards and risks are made by the International Conferences of Labour Statisticians (ICLS). While the terminology used in the ABS work-related injuries topic differs from that used in the international standards, the underlying definitions are broadly consistent. More information, refer to Occupational Injuries and Diseases, Labour Statistics: Concepts, Sources and Methods (cat. no. 6102.0.55.001).
To aid in the interpretation of the data, detailed explanatory notes, technical notes and definitions are provided with the publication.
For the 2017–18 release, tables and associated RSEs are available in spreadsheet form on the ABS website.
For further information about ABS data available on request, contact the National Information and Referral Centre on 1300 135 070 or via email to <firstname.lastname@example.org>.