The victims of crime survey 1998 was commissioned by the South African Department of Safety and Security (DSS), and undertaken by Statistics South Africa (Stats SA). The first national survey of its kind in South Africa, this countrywide, household-based survey examines crime from the point of view of the victim. While surveys of crime victims cannot replace police statistics, they can provide a rich source of information which will assist in the planning of crime prevention. A victim survey can also examine the extent of reporting of crime, explore the perceptions that different people have about the police and police services, and act as a benchmark against which future surveys of the same nature can be compared.

Abstract

The victims of crime survey 1998 was commissioned by the South African Department of Safety and Security (DSS), and undertaken by Statistics South Africa (Stats SA). The first national survey of its kind in South Africa, this countrywide, household-based survey examines crime from the point of view of the victim. While surveys of crime victims cannot replace police statistics, they can provide a rich source of information which will assist in the planning of crime prevention. A victim survey can also examine the extent of reporting of crime, explore the perceptions that different people have about the police and police services, and act as a benchmark against which future surveys of the same nature can be compared.

Geographic coverage

The survey had national coverage

Analysis unit

The units of analysis in the survey are households and individuals

Universe

The survey covered all households in South Africa

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample consisted of 4 000 people aged 16 years or more. It was drawn in three stages. Firstly, a probability sample of 800 enumerator areas (EAs) was drawn from the sampling frame of 86 000 EAs, as demarcated for the 1996 population census. This sample was stratified explicitly by province, and implicitly by the 42 police districts of the country. Secondly, within each of the 800 EAs, five households were selected for interviewing, using systematic sampling. Thirdly, one respondent aged 16 years or more was selected to be interviewed in each of the five households in each sampled EA. This person was chosen using a table of random numbers. Once a respondent had been selected, fieldworkers were instructed to make sure that they interviewed only that specific person and nobody else. In case of non-contacts with that person, repeated callbacks (at least three) had to be made. There were no substitutions for refusals or non-contacts.

Mode of data collection

Face-to-face [f2f]

Research instrument

The survey questionnaire was based on a standard international questionnaire, but with certain modifications for use in South Africa. The international questionnaire covered eleven main crimes, including theft of a car or other motor vehicle, theft from a car or other vehicle, car vandalism, theft of a motor cycle or scooter, theft of a bicycle, burglary or housebreaking, attempted burglary, robbery with force, personal theft, sexual incidents and assault and two supplementary crimes (consumer fraud and corruption). In the South African questionnaire, the following crimes were added on the recommendation of the advisory committee to meet specific South African needs: theft of livestock, poultry and other animals, hijacking or attempted hijacking of vehicles, deliberate damage, burning or destruction of dwellings and deliberate killing or murder.

Cleaning operations

The processes of computer programming, data capture and data analysis involved several steps: A tabulation plan was drawn up beforehand to assist with writing the computer programme for data capture. The data-input programme, containing both range and consistency checks, was written by a programmer working in Stats SA's Directorate of Household Surveys. Coding of the questionnaires and data capture were handled by temporary staff. Once the capturing was completed, additional editing programmes were written, and then the data-cleaning process was completed. Tables from the dataset, based on the tabulation plan, and the data set itself were then made available for analysis and report-writing.