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Crime Victimisation, Australia methodology

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Reference period
2021-22 financial year
Released
22/02/2023

Overview

This publication contains results from the Crime Victimisation Survey (CVS), a topic on the Multipurpose Household Survey (MPHS) conducted throughout Australia from July 2021 to June 2022. The MPHS, undertaken each financial year by the Australian Bureau of Statistics (ABS), is a supplement to the monthly Labour Force Survey (LFS) and is designed to collect statistics for a number of small, self-contained topics.

The survey collected details about the prevalence of a selected range of personal and household crimes, including the socio-demographic characteristics of persons experiencing the selected crimes, experiences of repeat victimisation, and the characteristics of the most recent incident of each crime type experienced. Some estimates from previous iterations of the survey are also included in this publication. Labour force characteristics, education, income and other demographics were also collected.

Data collection

Scope

The scope of the survey was restricted to people aged 15 years and over who were usual residents of private dwellings and excludes:

  • members of the Australian permanent defence forces
  • certain diplomatic personnel of overseas governments, customarily excluded from Census and estimated resident population counts
  • overseas residents in Australia
  • members of non-Australian defence forces (and their dependants)
  • persons living in non-private dwellings such as hotels, university residences, boarding schools, hospitals, nursing homes, homes for people with disabilities, and prisons
  • persons resident in the Indigenous Community Strata (ICS).

The scope for MPHS included households residing in urban, rural, remote and very remote parts of Australia, except the ICS.

Coverage

In the LFS, rules are applied which aim to ensure that each person in scope is associated with only one dwelling, and hence has only one chance of selection in the survey. See Labour Force, Australia for more detail.

Sample size

Information was collected from 23,949 fully responding persons. This includes 386 proxy interviews for people aged 15 to 17 years, where permission was not given by a parent or guardian for a personal interview.

Collection method

The survey is one of a number of small, self-contained topics on the MPHS.

Each month, one eighth of the dwellings in the LFS sample were rotated out of the survey and selected for the MPHS. After the LFS had been fully completed for each person in scope and coverage, a usual resident aged 15 years or over was selected at random (based on a computer algorithm) and asked the additional MPHS questions in a personal interview. 

In the MPHS, if the randomly selected person was aged 15 to 17 years, permission was sought from a parent or guardian before conducting the interview. If permission was not given, the parent or guardian was asked the questions on behalf of the 15 to 17 year old (proxy interview). Questions relating to sexual assault and the involvement of alcohol or substances in the most recent incident of physical assault and face-to-face threatened assault were not asked of proxy respondents or persons aged 15 to 17 years.

Data were collected using Computer Assisted Interviewing (CAI), whereby responses were recorded directly onto an electronic questionnaire in a notebook computer, with interviews conducted over the telephone. 

Processing the data

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Classifications

Country of birth

Education

Equivalised weekly household income

Socio-Economic Indexes for Areas (SEIFA)

Comparing the data

Comparability of Time Series

As a similar methodology has been adopted for the surveys, data on the prevalence of personal and household crimes is comparable across the survey periods. This has enabled some time series comparisons to be made in this publication.

Comparability with police statistics

Data for selected crimes reported to and recorded by police agencies in a calendar year are available in Recorded Crime - Victims, Australia. The Crime Victimisation Survey provides an additional source of data on crime victimisation for the selected crimes, including crime not reported to or detected by police. This survey identifies the nature of this unreported crime, as well as giving information about experiences of repeat victimisation. The information from the survey should be viewed as complementary to police recorded crime statistics.

The terms used for the crimes (such as robbery and physical assault) may not necessarily correspond with the legal or police definitions used. This is because responses obtained in this survey are based on the respondent's perception of the behaviours they experienced. The definitions of terms used in the publication are based on the wording of the questions asked of the respondent and specifications provided to interviewers. Definitions of crime types included in this survey can be found in the Glossary.

The Crime Victimisation Survey collects information on crimes that were reported to police, as well as crimes that went unreported. In this publication, reporting rates are based on whether or not the most recent incident of each crime type experienced in the 12 months prior to interview was reported to police. Interviews were conducted over a 12-month period from 1 July 2021 to 30 June 2022. The actual reference period for a particular respondent was determined by the date of their interview. There is no way of verifying that a crime was reported to police, where the respondent indicated that police were informed.

Another source of variation between the survey results and crimes recorded by police relates to differences in scope. This survey collects information on the personal crimes of physical assault, threatened assault (face-to-face and non-face-to-face), and robbery for all persons aged 15 years and over, and sexual assault for persons aged 18 years and over. In contrast, police statistics include victims of all ages, and any comparisons should take this into consideration. Furthermore, police statistics for a given reference period may include criminal incidents that came to the attention of police during the reference period, but did not occur during it.

Due to differences between collections, caution should be exercised when comparing data from surveys and administrative by-product collections that relate to crime and justice topics. For more information on comparisons between sources, please refer to Measuring Victims of Crime: A Guide to Using Administrative and Survey data, June 2011.

Comparability to monthly LFS Statistics

Since the survey is conducted as a supplement to the LFS, data items collected in the LFS are also available in this publication. However, there are some important differences between the two surveys. The scope of the Crime Victimisation Survey and the LFS differ (refer to the Scope section above). Due to the differences between the samples, data from this survey and the LFS are weighted separately. Differences may therefore be found in the estimates for those data items collected in the LFS and published as part of the Crime Victimisation Survey.

Comparability with other ABS surveys

Caution should be taken when comparing across ABS surveys and with administrative by-product data that relate to crime and justice topics. Estimates from the Crime Victimisation Survey may differ from those obtained in other surveys (such as the Personal Safety Survey, National Aboriginal and Torres Strait Islander Health Survey, National Aboriginal and Torres Strait Islander Social Survey, and General Social Survey) due to differences in survey mode, methodology and questionnaire design.

Data pooling

This publication presents pooled data on victimisation and reporting estimates at the state and territory level. Data pooling is a statistical technique in which data from multiple survey cycles are combined to produce more reliable estimates. This effectively increases the sample size of the data set and creates more robust estimates by decreasing the associated sampling error. Pooled data can be found in Tables 26 to 30 of the publication and are recommended for use over single year state and territory estimates, due to the improved data quality and reliability, particularly for less populous states and territories and low prevalence crime types.

The pooled estimates in this release were produced by combining data from consecutive CVS reference periods (survey cycles) and dividing the weights by the number of cycles that were pooled. The estimates therefore do not correspond to one particular survey cycle but instead are an average of the estimates from multiple survey years.

State and territory data has been pooled across two consecutive years for all crime types, except for sexual assault which uses three years, due to the higher sampling error associated with this offence. 

CVS data have been pooled based on an assessment of the survey’s comparability and consistency across all cycles. In particular:

  • each CVS iteration is conducted on an independent sample of the same population, and the population characteristics and variables of interest have not changed substantially from one survey to the next.
  • survey questions regarding victimisation and reporting have remained consistent since the first CVS in 2008-09.
  • successive CVS iterations have a similar survey design, scope and coverage, enumeration period and weighting method, indicating a high level of conceptual similarity between surveys.

The pooled reference periods are labelled according to the survey cycles they are composed of. For example, the 2020-22 pooled period combines data from the 2020-21 and 2021-22 CVS cycles, spanning from July 2020 to June 2022. While a pooled period spans multiple survey years, the pooled estimate itself represents a 12-month average, not the total number of victims over the 24-month pooled period. For example, the 2020-22 pooled victimisation estimate for physical assault averages the number of persons from the 2020-21 and 2021-22 CVS cycles who reported experiencing physical assault over the last 12 months. As pooled estimates are composed of multiple reference periods, the direction of some time series movements may differ from those seen for single-year estimates, which are more responsive to change. This should be noted when using pooled data to identify short-term changes in crime trajectories.

To provide data users with the greatest amount of flexibility and time points, rolling time series estimates have been provided in the pooled data tables. The rolling estimates combine consecutive CVS cycles so that a survey year can be used in multiple estimates. For example, the 2020-21 CVS cycle has been combined with the 2019-20 cycle to produce 2019-21 pooled estimates, and with the 2021-22 cycle to produce 2020-22 estimates. While rolling estimates produce the greatest amount of time points, these estimates will not be independent due to the overlap in survey years, this should be taken into consideration when analysing and interpretating the data.

The estimates in the pooled data tables have not been perturbed, in contrast to estimates in the other publication tables. Instead, a different confidentiality measure has been applied and some cells have been suppressed (though included in the totals where applicable), to minimise the risk of identifying individuals. The use of a different confidentiality measure means that some pooled estimates may be higher or lower than both of the previously published single-year estimates that compose the pooled data.

Data release

Datacubes/spreadsheets 

Datacubes containing all tables for this publication in Excel spreadsheet format are available from the Data downloads section of the main publication. The spreadsheets present tables of estimates and proportions, and their corresponding relative standard errors (RSEs).

As well as the statistics included in this and related publications, the ABS may be able to provide other relevant data on request. Subject to confidentiality and sampling variability constraints, tables can be tailored to individual requirements for a fee. A list of data items from this survey is available from the Data downloads section. For inquiries about these and related statistics, contact the Customer Assistance Service via the ABS website Contact Us page.

Confidentiality

To minimise the risk of identifying individuals in aggregate statistics, a technique is used to randomly adjust cell values. This technique is called perturbation. Perturbation involves a small random adjustment of the statistics and is considered the most satisfactory technique for avoiding the release of identifiable statistics while maximising the range of information that can be released. These adjustments have a negligible impact on the underlying pattern of the statistics. After perturbation, a given published cell value will be consistent across all tables. However, adding up cell values to derive a total will not necessarily give the same result as published totals.

Perturbation has been applied to Crime Victimisation Survey datasets since 2013-14. Data from previous cycles (2008-09 to 2012-13) have not been perturbed, but underwent a different confidentialisation method to protect the confidentiality of respondents.

Glossary

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Abbreviations

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