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In some parts of the Vhembe District in Limpopo Province of South Africa, vandalism is becoming a serious problem, and solutions are not easy to find. Vandalism has had a variety of negative impacts on livestock farmers. A few studies have studied the concept of vandalism, but studies employing empirical models to determine the factors that are of significance to vandalism are conspicuously rare, if not absent. This paper investigated factors of significance to on-farm infrastructural vandalism in the Musekwa Valley of the Vhembe District, Limpopo Province. The study used a mixed method approach and collected data using a cross-cultural semi structured questionnaire instrument translated from English into the native Tshivenda. Data were collected from fifty-five (n=55) purposively selected primary participants who were interviewed using face to face approach. Additional data were collected through key informant interviews administered on purposively selected key informants (n = 4), focus group discussions were done, and transect walks were employed for observation purposes. A binary logistic regression model was fitted to the data, and the following factors emerged as significant to vandalism: age, gender, education level, ownership of cattle, exposure to information, household expenditure, and reporting of incidents of vandalism to authorities. It is recommended that a community-based approach is adopted to find solutions to the problem of vandalism, to avoid a top-down approach that residents might undermine.

Crime in high schools has become a major concern all over the world. High schools in Nzhelele East Circuit, Vhembe District, Limpopo Province, South Africa also experience waves of youth crime perpetrated by learners. The aim of this study was to explore family factors which contribute to youth crime amongst learners in high schools in Nzhelele East Circuit. Three high schools (i.e. Mushaathoni, Nndweleni and Mphephu) known for high rate of crime were selected. Quantitative research approach was used. Survey questionnaires were administered among learners in order to collect quantitative data. Stratified random sampling was used to survey 40 grade 10 and 40 grade 11 learners from each of the three high schools. In total, 240 learners participated in this study. Data was analyzed using the SPSS instrument. Appropriate ethical principals were applied to ensure that research participants were not harmed. The study found that youth crime in high schools was attributed to family factors such as absence of parents, poor parenting style, abuse and domestic violence, poverty, divorce, single parenting and family size. The study recommended the need for a multi-pronged strategy through mobilization of relevant stakeholders (families, community leaders, education authorities, law enforcement agencies and other relevant government department to curb youth crime in high schools. Key words: Crime, Learners, Bullying; Offenders; Victims; Violence; Youth crime, High school