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AbstractOver and above the current multitude of licensed micro‐level datasets that the Australian Bureau of Statistics (ABS) provides for research purposes, the ABS has expanded its support to include the new DataLab protected research environment to allow unparalleled access to Australia's valuable micro‐level research datasets. The environment is highly protected by multiple layers of data security but allows access to unprecedented levels of data detail in real‐time to datasets such as the 2006–2011 linked census (ACLD), the ABS firm survey and tax panel (BLADE) and linked census and administrative data (MADIP).

Errors from past rounds of population projections can provide both diagnostic information to improve future projections as well as information for users on the likely uncertainty of current projections. This paper assesses the forecast accuracy of official Australian Bureau of Statistics (ABS) population projections for the states and territories of Australia and is the first major study to do so. For the states and territories, it is found that, after 10-year projection durations, absolute percentage errors lie between about 1% and 3% for the states and around 6% for the territories. Age-specific population projections are also assessed. It is shown that net interstate migration and net overseas migration are the demographic components of change which contributed most to forecast error. The paper also compares ABS projections of total population against simple linear extrapolation, finding that, overall, ABS projections just outperformed extrapolation. No identifiable trend in accuracy over time is detected. Under the assumption of temporal stability in the magnitude of error, empirical prediction intervals are created from past errors and applied to the current set of ABS projections. The paper concludes with a few ideas for future projection rounds.

In partnership with the Department of Industry and Science, the Australian Bureau of Statistics (ABS) is developing an enduring firm level statistical asset that will increase the capacity of the research community to undertake firm level analysis of micro-economic drivers of performance, competitiveness, productivity and improve the evidence base for policy development and evaluation, leading to more targeted expenditure of government funds. The initial version of the Expanded Analytical Business Longitudinal Database (EABLD) integrates administrative data from the Australian Taxation Office with collected survey data from the ABS for all active businesses in the Australian economy from 2001-02 to 2012-13. This paper provides a summary of the methodology used to create the EABLD, the initial set of data included and a description of potential uses. For example, there are a number of research projects planned which using the EABLD will examine the relationships between business characteristics, innovation, productivity, job creation, entrepreneurship and performance. The EABLD has also enabled Australia to take part in two Organisation for Co-operation and Economic Development distributed microdata projects, looking at the dynamics of employment and micro drivers of productivity.

This report provides substantial additional analysis of the data produced through the Australian Personal Safety Survey (PSS). The PSS is currently a largely untapped resource - even the publicly available PSS data has yet to be fully explored and applied to the most obviously relevant research and policy contexts. The ANROWS PSS analysis provides several hundred new statistical items related to violence against women. Almost all the data in this report is new – not only has this information not been publicly available before, but the data tables themselves have not been generated previously. The PSS is the most comprehensive quantitative study of interpersonal violence in Australia. The survey is administered by the Australian Bureau of Statistics (ABS) and funded by the Australian Government Department of Social Services. Over 17,000 women and men completed the 2012 survey. Violence experienced by women and men Violence is extremely common in Australia, with four out of ten women & five out of ten men having experienced at least one incident of violence since the age of 15. Men were more likely to be victims of physical violence (one in two men & one in three women) while women were more likely to be victims of sexual violence (one in five women & one in 22 men). Both women and men were more than three times as likely to be physically assaulted by a man than by a woman. A man was most likely to experience violence in a place of entertainment and a woman was most likely to experience violence in her home. Seven out of ten men and five out of ten women said alcohol or other drugs contributed to their most recent physical assault by a male. 4.3 times as many women than men reported that they felt fear or anxiety after their most recent physical assault committed by an opposite sex perpetrator. Gender remains the most substantial variable when considering differences in patterns of victimisation and perpetration. • This report addresses work covered in ANROWS research project 1.1 " Prevalence and ...