Crime victims by personal characteristics

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Personal characteristics Thefts Car theft (% population aged 12 years and older) Thefts Car theft; car users only (% the group concerned) Thefts Thefts from cars (% population aged 12 years and older) Thefts Theft from cars; car users only (% the group concerned) Total vandalism Theft from/damage to car (% population aged 12 years and older) Total vandalism Theft from/damage to car; car users (% the group concerned)
Total personal characteristics 0.2 0.3 2.1 3.5 7.5 12.3
Men 0.1 0.2 2.6 3.6 8.3 11.6
Women 0.2 0.5 1.7 3.4 6.7 13.3
Age cat. 1: 0-11 yrs
Age cat. 1: 12-17 yrs
Age cat. 1: 18-24 yrs 0.4 1.2 3.2 9.2 6.5 18.5
Age cat. 1: 25-34 yrs 0.3 0.4 3.9 5.8 10.9 16.3
Age cat. 1: 35-44 yrs 0.3 0.4 2.0 2.9 9.8 13.9
Age cat. 1: 45-54 yrs 0.2 0.2 2.1 3.1 7.6 11.2
Age cat. 1: 55-64 yrs - - 1.3 2.0 6.0 9.3
age cat. 1: 65-74 yrs - - 0.7 1.1 3.9 6.6
Age cat. 1: 75 yrs and older - - 0.4 1.2 2.0 5.6
Age cat. 2: 0-14 yrs
Age cat. 2: 15-24 yrs 0.4 1.2 3.2 9.2 6.5 18.5
Age cat. 2: 25-44 yrs 0.3 0.4 2.9 4.2 10.3 15.0
Age cat. 2: 45-64 yrs 0.1 0.1 1.7 2.6 6.9 10.4
Age cat. 2: 65 yrs and older - - 0.6 1.2 3.1 6.3
Age cat. 3: 0-14 yrs
Age cat. 3: 15-19 yrs - . 1.5 . 3.1 .
Age cat. 3: 20-24 yrs 0.6 1.3 3.8 9.0 7.6 18.0
Age cat. 3: 25-34 yrs 0.3 0.4 3.9 5.8 10.9 16.3
Age cat. 3: 35-44 yrs 0.3 0.4 2.0 2.9 9.8 13.9
Age cat. 3: 45-54 yrs 0.2 0.2 2.1 3.1 7.6 11.2
Age cat. 3: 55-64 yrs - - 1.3 2.0 6.0 9.3
Age cat. 3: 65-74 yrs - - 0.7 1.1 3.9 6.6
Age cat. 3: 75-84 yrs - - 0.3 0.9 2.0 5.4
Age cat. 3: 85 yrs and older - . 1.0 . 1.7 .
Age cat. 4 x gender: men, 12-17 yrs
Age cat. 4 x gender: men, 18-24 yrs 0.6 1.5 5.0 12.3 7.9 19.4
Age cat. 4 x gender: men, 25-34 yrs 0.1 0.2 4.1 5.7 11.4 15.8
Age cat. 4 x gender: men, 35-44 yrs 0.2 0.3 2.0 2.7 10.4 13.9
Age cat. 4 x gender: men, 45-54 yrs 0.1 0.1 2.4 3.1 7.6 10.0
Age cat. 4 x gender: men, 55-64 yrs - - 1.6 2.1 6.9 8.5
Age cat. 4 x gender: men, 65-74 yrs - - 1.2 1.5 5.3 6.5
Age cat. 4 x gender:men,75 yrs and older - - 0.9 1.4 2.8 4.4
Age cat. 4 x gender: women, 12-17 yrs
Age cat. 4 x gender: women, 18-24 yrs 0.2 0.8 1.4 4.8 5.0 17.2
Age cat. 4 x gender: women, 25-34 yrs 0.4 0.7 3.7 6.0 10.5 17.1
Age cat. 4 x gender: women, 35-44 yrs 0.4 0.6 2.0 3.1 9.2 13.9
Age cat. 4 x gender: women, 45-54 yrs 0.2 0.4 1.9 3.1 7.6 12.6
Age cat. 4 x gender: women, 55-64 yrs - - 0.9 1.9 5.1 10.7
Age cat. 4 x gender: women, 65-74 yrs - - 0.1 0.4 2.5 6.8
Age cat.4x gender,women,75 yrs and older - - 0.2 1.0 1.5 7.8
Age cat. 5 x gender, men, 0-14 yrs
Age cat. 5 x gender: men, 15-24 yrs 0.6 1.5 5.0 12.3 7.9 19.4
Age cat. 5 x gender: men, 25-44 yrs 0.2 0.2 3.0 4.1 10.9 14.7
Age cat. 5 x gender: men, 45-64 yrs 0.1 0.1 2.0 2.6 7.2 9.3
Age cat. 5 x gender:men,65 yrs and older - - 1.1 1.5 4.5 5.9
Age cat. 5 x gender: women, 0-14 yrs
Age cat. 5 x gender: women, 15-24 yrs 0.2 0.8 1.4 4.8 5.0 17.2
Age cat. 5 x gender: women, 25-44 yrs 0.4 0.7 2.8 4.4 9.8 15.3
Age cat. 5 x gender: women, 45-64 yrs 0.1 0.2 1.4 2.7 6.5 11.9
Age cat.5x gender:women,65 yrs and older - - 0.2 0.6 2.0 7.1
Age cat. 6 x gender: men, 0-14 yrs
Age cat. 6 x gender: men, 15-19 yrs - . 3.0 . 5.9 .
Age cat. 6 x gender: men, 20-24 yrs 0.8 1.7 5.7 11.8 8.6 17.8
Age cat. 6 x gender: men, 25-34 yrs 0.1 0.2 4.1 5.7 11.4 15.8
Age cat. 6 x gender: men, 35-44 yrs 0.2 0.3 2.0 2.7 10.4 13.9
Age cat. 6 x gender: men, 45-54 yrs 0.1 0.1 2.4 3.1 7.6 10.0
Age cat. 6 x gender: men, 55-64 yrs - - 1.6 2.1 6.9 8.5
Age cat. 6 x gender: men, 65-74 yrs - - 1.2 1.5 5.3 6.5
Age cat. 6 x gender: men, 75-84 yrs - - 0.5 0.7 3.0 4.4
Age cat.6x gender:men,85 yrs and older . . . . . .
Age cat. 6 x gender: women, 0-14 yrs
Age cat. 6 x gender: women, 15-19 yrs - . - . 0.5 .
Age cat. 6 x gender: women, 20-24 yrs 0.3 0.9 1.9 5.3 6.7 18.3
Age cat. 6 x gender: women, 25-34 yrs 0.4 0.7 3.7 6.0 10.5 17.1
Age cat. 6 x gender: women, 35-44 yrs 0.4 0.6 2.0 3.1 9.2 13.9
Age cat. 6 x gender: women, 45-54 yrs 0.2 0.4 1.9 3.1 7.6 12.6
Age cat. 6 x gender: women, 55-64 yrs - - 0.9 1.9 5.1 10.7
Age cat. 6 x gender: women, 65-74 yrs - - 0.1 0.4 2.5 6.8
Age cat. 6 x gender: women, 75-84 yrs - - 0.2 1.1 1.5 7.1
Age cat.6x gender:women,85 yrs and older - . - . 1.5 .
Level of education: primary education - - 0.6 1.5 3.6 9.8
Level of education: pre-vocational ed. 0.3 0.6 1.3 2.5 4.9 9.3
Level of education: jun. gen. sec. ed. 0.3 0.5 3.2 6.2 6.7 13.0
Level of ed.:sen.gen.sec.ed.,sen.voc.ed. 0.2 0.2 2.5 3.8 8.6 13.0
Level of ed.: voc.college, university 0.2 0.3 2.4 3.4 9.2 13.0
Higher executive positions 0.2 0.3 3.2 4.1 11.5 15.0
Other non-physical occupations 0.3 0.4 1.7 2.6 9.9 14.8
Self-employed persons 0.2 0.3 2.3 3.0 8.2 10.7
Skilled labour 0.3 0.4 3.8 5.2 7.3 10.2
Semiskilled and unskilled labour 0.3 0.4 3.8 5.9 7.7 12.0
Unemployed labour force 0.3 0.6 2.6 4.8 8.8 16.7
Still attending some form of education 0.3 1.0 1.8 7.2 5.1 20.3
Unable to work - - 1.3 2.4 6.4 12.2
Early retirement (58-64 year) - - 2.2 2.8 4.4 5.5
Housekeeping with child(ren) under 18 0.2 0.4 2.1 4.2 3.8 7.4
Other socio-economic brackets 0.1 0.3 0.8 2.0 3.7 8.7
One-person households 0.3 0.6 1.9 3.5 6.7 12.5
Single parent families - - 3.4 6.7 8.9 17.3
Couple without children 0.1 0.2 1.9 3.1 6.6 10.5
Couple with children 0.2 0.3 2.3 3.5 8.7 13.4
2,500 or more addresses per km2 0.2 0.4 3.4 7.1 7.4 15.5
1,500 - 2,500 addresses per km2 0.3 0.4 2.4 3.9 9.1 15.1
1,000 - 1,500 addresses per km2 0.1 0.2 1.7 2.6 8.4 13.2
500 - 1,000 addresses per km2 0.1 0.2 1.5 2.3 6.6 9.8
< 500 addresses per km2 0.2 0.3 1.7 2.5 4.6 6.8
House-owner 0.2 0.3 2.1 3.1 8.3 12.0
No house-owner 0.2 0.4 2.2 4.7 6.2 13.2
Source: CBS.
Explanation of symbols

Table explanation

Crime victims by background characteristics: sex, age, highest level of
education, number of addresses per km2 of the place of residence
1997 - 2004
Changed on November 07 2005.
Frequency: Discontinued.

Description topics

Thefts
Car theft
Car theft; car users only
Thefts from cars
Theft from cars; car users only
Total vandalism
Theft from/damage to car
Theft from/damage to car; car users