Australian Bureau of Statistics
4530.0 - Crime Victimisation, Australia, 2012-13 Quality Declaration
Latest ISSUE Released at 11:30 AM (CANBERRA TIME) 12/02/2014
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3 For all topics, general demographic information such as age, sex, labour force characteristics, education and income are also available.
4 This publication covers the Crime Victimisation Survey topic and presents details about victims of a selected range of personal and household crimes, whether victims reported these incidents to police, the characteristics of victims and the characteristics of their most recent incident. Some estimates from the 2008–09, 2009–10, 2010–11 and 2011-12 Crime Victimisation Surveys are also included in this publication.
5 Crime victimisation data are again being collected in the MPHS for the reference period 2013–14, with that data expected to be available in early 2015.
6 The scope of the LFS is restricted to people aged 15 years and over and excludes the following:
7 In addition, the scope of the 2012–13 MPHS excluded:
8 As in 2011-12, the 2012-13 survey included households residing in urban, rural, remote and very remote parts of Australia, except ICF CDs. This inclusion has minimal impact on Australian or state territory (including the Northern Territory) level estimates. It is estimated that 23% of the Northern Territory population live in very remote areas and that most people resident in very remote areas live in Indigenous Communities.
9 The coverage of the 2012-13 MPHS was the same as the scope, except that persons living in Indigenous Communities in non-very remote areas were not covered for operational reasons.
10 In the LFS, rules are applied which aim to ensure that each person in coverage is associated with only one dwelling and hence has only one chance of selection in the survey. See Labour Force, Australia (cat. no. 6202.0) for more details.
11 The MPHS was conducted as a supplement to the monthly LFS. Each month one eighth of the dwellings in the LFS sample were rotated out of the survey. In 2012-13, all of these dwellings were selected to respond to the MPHS each month. In these dwellings, after the LFS had been fully completed for each person in scope and coverage, a person aged 15 years and over was selected at random (based on a computer algorithm) and asked the various MPHS topic questions in a personal interview. If the randomly selected person was aged 15–17 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 crime questions on behalf of the 15–17 year old. Questions relating to sexual assault, alcohol or substances contributing to the most recent physical or face-to-face threatened assault were not asked of proxy respondents. Only those persons aged 18 years and over were asked questions on sexual assault. Data was collected using Computer Assisted Interviewing, whereby responses were recorded directly onto an electronic questionnaire in a notebook computer, usually during a telephone interview.
12 For the 2012-13 MPHS, the sample was accumulated over a 12 month period from July 2012 to June 2013.
13 The publication Labour Force, Australia (cat. no. 6202.0) contains definitions of demographic and labour force characteristics, and information about telephone interviewing that is relevant to both the monthly LFS and MPHS.
14 The initial sample for the crime victimisation topic was 45,988 private dwellings, from which one person was randomly selected. Of the 39,235 private dwellings that remained in the survey after sample loss (for example, dwellings selected in the survey which had no residents in scope for the LFS, vacant or derelict dwellings and dwellings under construction) 30,749 or 78% fully responded to the questions on crime victimisation.
15 Weighting is the process of adjusting results from a sample survey to infer results for the total in-scope population. To do this, a 'weight' is allocated to each sample unit, which, for the MPHS, can be either a person or a household. The weight is a value which indicates how many population units are represented by the sample unit. For the MPHS, the first step in calculating weights for each unit was to assign an initial weight, which is the inverse of the probability of being selected in the survey. For example, if the probability of a person being selected in the survey was 1 in 600, then the person would have an initial weight of 600 (i.e. they represent 600 people).
16 The initial weights were then calibrated to align with independent estimates of the population of interest, referred to as 'benchmarks', in designated categories of age by sex by area of usual residence. Weights calibrated against population benchmarks ensure that the survey estimates conform to the independently estimated distribution of the population rather than the distribution within the sample itself. Calibration to population benchmarks helps to compensate for over or under-enumeration of particular categories of persons/households which may occur due to either the random nature of sampling or non-response.
17 For person estimates, the MPHS was benchmarked to the projected population in each state and territory, as at 31 March 2013. For household estimates, the MPHS was benchmarked to independently calculated estimates of the total number of households in Australia. The MPHS estimates do not (and are not intended to) match estimates for the total Australian person/household populations obtained from other sources.
18 Survey estimates of counts of persons or households are obtained by summing the weights of persons or households with the characteristic of interest. Estimates of non-person counts (e.g. number of attempted break-ins) are obtained by multiplying the characteristic of interest with the weight of the reporting person/household and then aggregating them.
RELIABILITY OF ESTIMATES
19 All sample surveys are subject to error which can be broadly categorised as either:
20 Inaccuracies that arise from selecting a sample rather than conducting a population census are known as sampling error. Non-sampling error may occur in any collection and include non-response, errors in reporting by respondents or recording of answers by interviewers and errors in coding and processing the data.
21 Sampling and non-sampling error can impact on the reliability of the estimates and are explained further in the Technical Note.
INTERPRETATION OF RESULTS
22 Crime victimisation surveys are best suited to measuring crimes against individuals or households with specific and identifiable victims. Victims need to be aware of and recall what happened to them and how it happened, as well as be willing to relate what they know to interviewers.
23 Not all types of crime are suitable for measurement by household surveys. No reliable information can be obtained about crimes without specific victims, such as trafficking in narcotics. Crimes of which the victim may not be aware cannot be measured effectively - some crimes involving deception and attempted crimes of many types may fall into this category. It may also be difficult to obtain information about some crimes such as sexual offences and assault committed by other household or family members due to the sensitivity of the crime and an increased reluctance to disclose. Some of these crimes may not be fully reflected in the data collected. Household survey data excludes crimes against commercial establishments or government agencies.
24 This survey covered only selected types of personal and household crimes. Personal crimes covered in the survey were physical assault, threatened assault, robbery and sexual assault. Household crimes covered were break-in, attempted break-in, motor vehicle theft, theft from a motor vehicle, malicious property damage and other theft.
25 For this survey the definition of total victims is restricted to those crimes included in the survey and does not represent all crime in Australia. Information collected in this survey is essentially 'as reported' by respondents and hence may differ from that which might be obtained from other sources or via other methodologies. This factor should be considered when interpreting the estimates and when making comparisons with other data sources.
Statistical measures of crime victimisation
26 The level of victimisation can be expressed in more than one way. The most common measure derived from crime victim surveys is prevalence, that is, the number of the relevant population that have been a victim of a given crime at least once in the reference period. This is known as the 'victimisation rate'. Victimisation rates used in this publication represent the prevalence of selected crimes in Australia, and are generally expressed as a percentage of the total relevant population. Reporting rates used in this publication are expressed as the percentage of victims whose most recent incident of each type of crime had been reported to the police.
27 The 2012-13 Crime Victimisation Survey is the fifth in a new series of regular Crime Victimisation Surveys conducted by the ABS. The four previous surveys in this series (conducted for the 2008–09, 2009–10, 2010–11 and 2011-12 reference periods) included many of the questions asked in 2012-13. This has enabled some comparisons of data across time to be made in this publication.
28 The Crime Victimisation Survey series replaced the previous Crime and Safety Surveys and was introduced because of a change to the collection methodology. The new method of collection mainly uses personal telephone interviews of selected respondents. Data collections between 1990 and 2005 required respondents to self complete questionnaires and mail these back to the ABS. This difference in mode of collection and changes to survey questions means that data collected using the MPHS is generally not directly comparable with data from previous years' Crime and Safety surveys.
29 Since 1990, Crime and Safety surveys were conducted by the ABS nationally and in specific states and territories at different times. Collections have taken place in the following years:
30 Different crime statistics collections can yield different results. Caution should be taken when comparing data from different surveys and administrative by-product collections that relate to crime and justice issues. For more information on comparisons between sources, please refer to Measuring Victims of Crime: A Guide to Using Administrative and Survey data, June 2011 (cat. no. 4500.0.55.001).
Comparability with the 2008–09, 2009–10, and 2010-11 and 2011-12 Crime Victimisation Survey
31 Most of the questions asked in the 2008–09, 2009–10, 2010–11 and 2011-12 Crime Victimisation Surveys have been repeated in 2012–13. As a similar methodology has been adopted for the surveys, data on the prevalence of personal and household crimes should be comparable across the periods.
33 In the 2008–09 Crime Victimisation Survey, data was not collected in July and August in New South Wales (to avoid overlap with the April 2008 NSW Crime and Safety Survey). In the 2009–10, 2010–11, 2011–12 and 2012-13 surveys, data was collected for the full 12 months, however this change does not impact on the comparability of the data.
34 A significant change was made to the area of usual residence data item in 2010–11. In the 2008–09 and 2009–10 crime victimisation publications, area of usual residence was classified as State Capital Cities and Balance of State/Territory. The Balance of State/Territory category comprised people usually resident in areas outside of the six state capital city Statistical Divisions (as defined in the Australian Standard Geographical Classification (ASGC) (cat. no. 1216.0)), including all residents of the Northern Territory (except those in very remote areas) and the Australian Capital Territory. For 2010–11, 2011–12 and 2012-13, the State capital cities category has been changed to Capital City and now includes all of the ACT and Darwin Statistical Division, while the Balance of State/Territory category now comprises people usually resident in areas outside of the eight capital city Statistical Divisions, excluding all residents in the ACT. The new definitions of Capital City and Balance of State/Territory, as published, result in area of usual residence not being comparable across the surveys. However, comparable Correspondences for these classifications are available on request (see Products and Services section below for further details).
35 There have been no question wording changes in the 2012-13 survey. Some minor question wording changes were made for the 2011–12 survey. As a result of testing of the survey questions, since 2011–12, respondents have been specifically instructed to exclude verbal abuse from the physical assault module and bicycles, caravans and business vehicles from the motor vehicle theft module. Whilst the impact of these changes cannot be quantified, it is expected to be minimal for physical assault, however the changes may reduce the estimated number of motor vehicle thefts.
Comparability with police statistics
36 Data for selected crimes recorded by police agencies are available in Recorded Crime - Victims, Australia (cat. no. 4510.0). 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 victims of repeated crimes. The information from the survey should be viewed as complementary to police recorded crime statistics.
37 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 being the victim of a crime. The definitions of terms used in the survey 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.
38 The Crime Victimisation Survey collects information on crimes that were reported to police, as well as those which police did not become aware of. In this publication, reporting rates are based on whether or not the most recent incident of each crime type experienced by respondents in the 12 months prior to interview were reported to police. Interviews were conducted over a 12 month period from 1 July 2012 and 30 June 2013. The actual reference period for a particular respondent was determined by the date of their interview. There is no verification a crime report has actually been made for the crime if a survey respondent indicates that police were informed about the incident.
39 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 and robbery for all people aged 15 years and over, and sexual assault for people aged 18 years and over. In contrast, police statistics include victims of all ages and any comparisons need to allow for this difference. Furthermore, police record all crimes reported to them in the reference period, whether or not the incidents took place during that period or at an earlier time.
Comparability with monthly LFS Statistics
40 Due to differences in the scope and sample size of the MPHS and that of the LFS, the estimation procedure may lead to some small variations between labour force estimates from this survey and those obtained from the LFS.
Other methodological issues
41 When interpreting data from the 2012–13 MPHS, consideration should be given to the representativeness of the sample. This is affected by the response rate and scope and coverage rules. For example, people living in boarding houses, refuges or on the streets are excluded from this survey and may experience different levels of victimisation than those surveyed, who live in private dwellings.
EQUIVALISED WEEKLY HOUSEHOLD INCOME
42 Equivalence scales are used to adjust the actual incomes of households in a way that enables the analysis of the relative wellbeing of people living in households of different size and composition. For example, it would be expected that a household comprising two people would normally need more income than a lone person household if all the people in the two households are to enjoy the same material standards of living. Adopting a per capita analysis would address one aspect of household size difference, but would address neither compositional difference (i.e. the number of adults compared with the number of children) nor the economies derived from living together.
43 When household income is adjusted according to an equivalence scale, the equivalised income can be viewed as an indicator of the economic resources available to a standardised household. For a lone person household, it is equal to income received. For a household comprising more than one person, equivalised income is an indicator of the household income that would be required by a lone person household in order to enjoy the same level of economic wellbeing as the household in question.
44 The equivalence scale used in this publication was developed for the Organisation for Economic Co-operation and Development and is referred to as the 'modified OECD' equivalence scale. It is widely accepted among Australian analysts of income distribution.
45 The scale allocates 1.0 point for the first adult (aged 15 years and over) in a household; 0.5 for each additional adult; and 0.3 for each child. Equivalised household income is derived by dividing total household income by the sum of the equivalence points allocated to household members. For example, if a household received combined gross income of $2,100 per week and comprised two adults and two children (combined household equivalence points of 2.1), the equivalised gross household income would be calculated as $1,000 per week.
46 For more information on the use of equivalence scales, see Household Income and Distribution, Australia (cat. no. 6523.0).
47 Country of birth data are classified according to the Standard Australian Classification of Countries (Second Edition) (SACC), 2011 (cat. no. 1269.0).
48 Educational attainment data are classified according to the Australian Standard Classification of Education (ASCED), 2001 (cat. no. 1272.0).
PRODUCTS AND SERVICES
49 All tables, in Excel spreadsheet format, can be accessed from Downloads. The spreadsheets present tables of count person and proportion estimates, and their corresponding relative standard errors.
Microdata record file
50 In addition to the data available in the Excel spreadsheets, other tables will be able to be produced using TableBuilder. TableBuilder is an online tool for creating tables and graphs from survey data. TableBuilder for the 2012–13 Crime Victimisation topic is expected to be available in the first half of 2014. General information about this product, including cost, can be found on the About TableBuilder page.
51 A Confidentialised Unit Record File for the 2012–13 Crime Victimisation Survey will not be available.
Data available on request
52 A further option for accessing data from the Crime Victimisation Survey is to contact the National Information and Referral Service. A range of additional data not provided in the standard spreadsheets may be provided on a fee-for-service basis through ABS Information Consultancy. A spreadsheet containing a complete list of the data items available from the Crime Victimisation Survey can be accessed from Downloads.
53 ABS surveys draw extensively on information provided freely by individuals, businesses, governments and other organisations. Their continued cooperation is very much appreciated. Without it the wide range of statistics published by the ABS would not be available. Information received by the ABS is treated in strict confidence as required by the Census and Statistics Act 1905.
54 A wide range of information about Crime and Justice statistics can be found on the ABS Crime and Justice Topics @ a Glance web page. This page includes information on current and upcoming projects, links to recent crime and justice publications and resources, and information about current issues in the crime and justice sector. It also includes a new data visualisation tool which shows key summary data for each state and territory.
55 The Related Information tab associated with this release contains links to a selected range of ABS Crime and Justice publications.
These documents will be presented in a new window.
This page last updated 11 February 2014