Perpetrators of violence

Violence against people with disability is most often perpetrated by someone they know, such as:

  • an intimate partner
  • an acquaintance or neighbour
  • a friend or housemate
  • a parent (Table 1).

Table 1: Relationship to perpetrator of violence(a), by disability status(b) (at the time of the survey), 2016 (% who experienced violence)

Relationship to perpetrator

With disability(b)

Without disability

Total

Known person

80.5

69.6

73.7

Intimate partner(c)

44.2

36.7

39.5

Parent

11.2

8.4

9.4

Child

1.7

*0.4

0.9

Sibling

5.3

3.0

3.8

Other relative/in-law

5.7

4.2

4.7

Friend or housemate

13.5

11.6

12.3

Acquaintance or neighbour

22.1

15.8

18.2

Other known person(d)

20.6

14.6

16.8

Stranger

43.1

47.9

46.1

*    Estimate has a relative standard error of 25% to 50% and should be used with caution.

(a) People aged 18 and over who experienced violence after age 15. Includes sexual and physical violence. Components may not add to totals as a person may experience violence by more than 1 perpetrator. A person who has experienced violence by more than 1 perpetrator is counted only once in the aggregate groups and totals. Percentage is of those who experienced violence.

(b) Disability status is determined as at the time of the survey. It does not indicate whether a person had a disability at the time of a violent incident.

(c) Includes categories: 'boyfriend or girlfriend or date', 'current partner', ' previous partner' and 'ex-boyfriend or ex-girlfriend'.

(d) Includes categories 'employer/manager/supervisor',  'co-worker', 'teacher/tutor', ' client/patient/customer', 'medical practitioner (for example, doctor, psychologist, nurse, counsellor)', ' priest/Minister/Rabbi or other spiritual advisor', 'carer (includes non-family paid or unpaid helper)', and 'other known person'.

Source: ABS 2017; see also Table S5.

References

ABS (Australian Bureau of Statistics) 2017. Microdata: personal safety, Australia, 2016. ABS cat. no. 4906.0.55.001. Canberra: ABS. AIHW analysis of detailed microdata in DataLab.