N=
%
     
Total
8139631
100
     
Swiss
6202184
76,2
     
Foreigners
1937447
23,8 / 100
     
Among them:
     
Bosnia-Herzegovina
33002
1,7
     
Kosovo
86976
4,5
     
Macedonia
62633
3,2
     
Serbia
90704
4,7
     
     
Table 1:Constant population. Switzerland [11]
Regions
No of schools
Grades
Schools’ response rate, in%
Number of effective responses after data cleaning
Dates of data collection
Languages
Switzerland
National level. Weighted data
132
7-9
74.8%
4158
21.02.2013-21.11.2013
German, French, Italian
Bosnia-Herzegovina

6 regions:

Tuzla, Odžak, Bihać, Sarajevo, Zenica, Mostar
55
7-9
n/a
3’066
05.12.2014-05.08.2015
Serbo-Croatian (Latin & Cyrillic alphabets)
Kosovo

Pristina,
Prizren

+ suburb
24
7-9
95.9%
1’078

09.01.2013-

19.03.2013
Albanian
Macedonia

Skopje
Kumanovo

+ suburb
24
7-9
95.8%
1’239
01.04.2014-18.12.2014

Macedonian

Albanian
Serbia

Belgrade Novii Sad

23
7-12
75.0%
886a
01.04.2013-28.02.2014
Serbian
Total
10’427

a In Serbia, the survey included grades 7 to 12. For the present purposes, only students aged 12-16 have been considered in order to match students’ age in the other countries, N=886.

b Data includes respondents from the main sample. It was weighted by canton and school grade. The method of analytical weighting was used
 
Table 2: Main features of the surveys conducted in Bosnia-Herzegovina, Kosovo, Macedonia, Serbia, and Switzerland
Switzerlanda
Both parents were born in Switzerlanda
At least one parent was born abroada
At least one parent was born in Ex-Yugoslaviaa
Ex-Yugoslaviab
%
%
%
%
%
Gender
female
51,3
53,9
48,3
45,1
50,1
Male
48,7
46,1
51,7
54,9
49,9
N=
4155/4156c
2124/2096 c
1950/1977c
423/441c
6266b
Age
11.00
0,1
0,0
0,1
0,4
12.00
6,0
6,1
6,0
4,8
13,3
13.00
26,1
28,4
23,5
18,0
31,1
14.00
31,2
31,1
31,1
29,0
32,3
15.00
25,6
25,6
26,4
30,0
17,5
16.00
9,6
8,5
11,0
15,9
5,3
17.00
1,2
0,9
1,6
2,0
0,1
18.00
0,1
0,0
0,3
0,1
0,0
19.00
0,0
0,0
0,1
0,3
0,0
N=
4145/4148c
2126/2096c
1941/1973c
419/439c
6262b
a% of weighted data
b% and N of non-weighted data
cN= weighted/non weighted data
Table 3: Demographic characteristics of juveniles in our database, in %
Violent offencese
Cannabisf
Binge-drinkingf
Going out in the evening
%
N=
p≤
%
N=
p≤
%
N=
p≤b
Switzerlandg
3,8a
4048/4011b
10,3a
4062/4013b
26,0a
4048/4001b
16,7a
4115/4096b
Without immigration backgroundh
2,0a
2077/2032b
.000/.000cb
9,1a
2079/2030b
.021/.139cb
25,8a
2074/2026b
.922/.382cb
13,2a
2109/2068b
.000/.000cb
With immigration backgroundi
5,5a
1892/1898b
11,4a
1902/1902b
25,7a
1894/1895b
20,0a
1925/1946b
With ex-Yugoslavian originj
6,0a
406/420b
12,1a
407/422b
27,2a
407/421b
26,1b
420/436b
Ex-Yugoslaviak
1,6d
6051d
3,0b
6054d
14,7d
6048d
35,9d
6193d
aWeighted data
bWeighted/non-weighted data
cSignificance of comparison of Swiss juveniles with and without immigration background
dNon-weighted data
eLast year prevalence
fLast month prevalence
gNational level
hboth parents are Swiss
iat least one parent born abroad
jat least one parent born in ex-Yugoslavia
kjuveniles are residents of Bosnia-Herzegovina, Kosovo, Macedonia, and Serbia.
Table 4: Violent offences, going out in the evening, cannabis use and binge-drinking. Prevalence in %, weighted data
 
National level
Both parents were born in Switzerland
At least one parent born abroad
At least one parent born in ex-Yugoslavia
Ex-Yugoslavian countries
Viol.off.a
Cannab.b
Binge-drinkingb
Viol.off.a
Cannab.b

Binge-drinking

b
Viol.off.a
Cannab.b

Binge-drinking

b
Viol.off.a
Cannab.b

Binge-drinking

b
Viol.off.a
Cannab.b

Binge-drinking

b
%h
%h
%h
%h
%h
%h
%h
%h
%h
%h
%h
%h
%i
%i
%i
Cannabis
Nod
2,5
20,3
1,5
20,5
3,8
19,9
3,9
23,2
1,1
13,4
Yese
14,7
74,8
7,3
78,4
19,2
70,6
20,4
57,1
18,1
54,2
N=c
4037/3994
4046/3995
2074/2023
2072/2022
1886/1891
1893/1893
406/420
407/421
6029
6041
p ≤c
.000/.000
.000/.000
.000/.000
.000/.000
.000/.000
.000/.000
.000/.000
.000/.000
.000
.000
Binge-drinking
Nod
1,7
3,5
0,8
2,7
2,8
4,5
2,0
7,1
0,7
1,6
Yese
9,6
29,7
5,6
27,9
13,4
31,1
17,1
25,2
6,7
11,0
N=c
4027/3986
4046/3995
2068/2020
2072/2022
1881/1887
1893/1893
407/420
407/421
6025
6041
p ≤c
.000/.000
.000/.000
.000/.000
.000/.000
.000/.000
.000/.000
.000/.000
.000/.000
.000
.000
Going out
Seldomf
2,1
7,5
21,3
1,2
7,4
21,5
3,1
7,7
20,7
2,3
6,7
20,3
0,7
2,0
8,5
Ofteng
12,4
24,6
49,9
7,6
21,0
54,6
16,0
26,5
46,5
15,9
27,1
46,7
3,1
4,7
25,9
N=c
4028/3996
4041/3997
4030/3988
2073/2026
2076/2024
2070/2021
1876/1889
1886/1892
1878/1887
406/420
407/422
407/421
6050
6053
6047
p ≤c
.000/.000
.000/.000
.000/.000
.000/.000
.000/.000
.000/.000
.000/.000
.000/.000
.000/.000
.000/.000
.000/.000
.000/.000
.000
.000
.000
aLast year prevalence
bLast month prevalence
cWeighted/ non-weighted data
dNever or not during last 30 days
eAt least once, during last 30 days
fSeldom = never or no more than twice a week
gOften = at least three times a week
hPercentage (Swiss data) = weighted data
iPercentage (ex-Yugoslavian countries) = non-ssweighted data
Table 5:Violent offences (dependent variable) by cannabis use and active nightlife (independent variable); and cannabis (dependent variable) by active nightlife (independent variable), in %
Cannabis use
Binge-drinking
 
Switzerland controlled for immigration background
 
N=3899a
R2 = 0.198b
N=3894a
R2 = 0.194b
 
Sig.
ORc
95% C.I.for OR
Sig.
ORc
95% C.I.for OR
 
Lower
Upper
Lower
Upper
 
Genderd
.000
3.213
2.083
4.955
.000
3.449
2.242
5.305
 
Immigration backgrounde
.003
1.801
1.227
2.644
.000
1.975
1.350
2.889
 
Cannabisf
.000
5.738
3.907
8.428
 
Binge-drinkingf
.000
4.756
3.228
7.006
Active night lifeg
.000
3.098
2.117
4.535
.000
3.171
2.188
4.597
 
Constant
.000
0.005
.000
0.004
 
Juveniles without immigration background in Switzerlandh
 
 
N=2017a
R2 = 0.173b
N=2015a
R2 = 0.202b
 
Sig.
ORc
95% C.I.for OR
Sig.
ORc
 
Lower
Upper
Lower
Upper
 
Genderd
.001
3.512
1.704
7.239
.000
3.673
1.784
7.562
 
Cannabisf
.000
4.473
2.336
8.567
 
Binge-drinkingf
.000
6.556
3.133
13.719
 
Active night lifeg
.000
4.607
2.446
8.676
.000
3.659
1.941
6.895
 
Constant
.000
0.005
.000
0.003
 
Juveniles with immigration background in Switzerlandi
 
 
N=1882a
R2 = 0.198b
N=1879 a
R2 = 0.170b
 
Sig.
ORc
95% C.I.for OR
Sig.
ORc
95% C.I.for OR
 
Lower
Upper
Lower
Upper
 
Genderd
.000
3.177
1.844
5.471
.000
3.329
1.945
5.699
Cannabisf
.000
6.603
4.087
10.670
 
Binge-drinkingf
.000
4.107
2.586
6.521
 
Active night lifeg
.000
2.495
1.552
4.010
.000
2.915
1.847
4.599
 
Constant
000
0010
.000
0.008
 
Juveniles in Switzerland with at least one parent born in ex-Yugoslavia
 
 
N=420a
R2 = 0.284b
N=420a
R2 = 0.253b
 
Sig.
ORc
95% C.I.for OR
Sig.
ORc
95% C.I.for OR
 
Lower
Upper
Lower
Upper
 
Genderd
.084
3.197
0.855
11.948
.065
3.445
0.928
12.790
 
Cannabisf
.000
7.666
2.834
20.735
 
Binge-drinkingf
.002
5.059
1.810
14.138
 
Active night lifeg
.008
4.235
1.462
12.268
.010
4.035
1.391
11.705
 
Constant
.000
0.007
.000
0.005
 
ex-Yugoslavian countries
 
 
N=6026a
R2 = 0.196b
N=6022a
R2 = 0.182b
 
Sig.
ORc
95% C.I.for OR
Sig.
ORc
95% C.I.for OR
 
Lower
Upper
Lower
Upper
 
Genderd
.000
4.363
2.481
7.671
.000
4.442
2.536
7.778
 
Cannabis
.000
14.988
9.334
24.066
 
Binge-drinkingf
.000
7.337
4.722
11.399
 
Active night lifeg
.000
3.064
1.946
4.825
.001
2.190
1.377
3.485
 
Constant
.000
0.002
.000
0.002
 
aNumber of cases included in analysis.
bNagelkerke R Square.
cOR = Exp(B).
d1 = male, 0 = female.
e1 = at least one parent born abroad (not in Switzerland), 0 = both parents born in Switzerland.
f1 = t least once during last thirty days.
g1 = going out in the evening at least three times per week, 0 = going out in the evening fewer than twice per week or never.
hJuveniles without immigration background in Switzerland = both parents were born in Switzerland.
iJuveniles with immigration background in Switzerland = at least one parent born abroad.
 
Table 6: Perpetration of violent offences if having active nightlife and cannabis use/binge-drinking, controlled for gender and immigration background. Binary logistic regression model