Table 2.4
Occupational trajectories (age 16–40) by country, cohort and gender (percentage)
LithuaniaPortugalSwitzerlandCohortGenderCohortGenderCohortGenderTotal1950–^551970–^75MFTotal1950–^551970–^75MFTotal1950–^551970–^75MFEarly full-time62.759.466.061.963.458.557.359.859.058.210.08.611.59.810.1Late full-time15.716.814.616.415.119.019.918.020.617.956.258.253.955.257.1At home12.413.411.413.811.211.911.412.410.812.78.17.68.68.37.9Erratic3.93.84.03.04.74.86.43.24.15.213.212.414.114.412.1Lower part-time2.11.03.21.72.42.82.53.01.73.511.812.411.311.312.3Higher part-time3.25.60.83.23.23.12.53.63.82.50.71.00.51.00.5Total100.0100.0100.0100.0100.0100.0100.0100.0100.0100.0100.0100.0100.0100.0100.0(^2) χ (5) = 27.102,
p^
<0.001
; Cramér’s
V
= 0.165
(^2) χ (5) = 4.023,
n.s.
;
Cramér’s V = 0.063
(^2) χ (5) = 7.769,
n.s.;
Cramér’s V
= 0.086
(^2) χ (5) = 6.803,
n.s.
;
Cramér’s V = 0.081
(^2) χ (5) = 3.860,
n.s.;
Cramér’s V
= 0.069
(^2) χ (5) = 1.873,
n.s.
;
Cramér’s V = 0.048
Overall inter-country comparison:
(^2) χ (10) = 818.890,
p < 0.001
, Cramér’s V = 0.379
Early full-time
59.4
55.8
62.3
66.0
67.5
64.6
57.3
52.8
60.3
59.8
65.4
56.3
8.6
8.3
8.8
11.5
11.6
11.4
Late full-time
16.8
21.0
13.4
14.6
12.1
16.9
19.9
25.0
16.4
18.0
16.1
19.3
58.2
57.9
58.5
53.9
51.9
55.7
At home
13.4
14.3
12.7
11.4
13.3
9.6
11.4
10.4
12.1
12.4
11.2
13.1
7.6
7.9
7.3
8.6
8.8
8.5
Erratic
3.8
2.7
4.7
4.0
3.3
4.6
6.4
6.1
6.6
3.2
2.0
4.0
12.4
13.4
11.2
14.1
15.5
12.9
Lower part-time
1.0
0.0
1.8
3.2
3.3
3.1
2.5
1.9
3.0
3.0
1.5
4.0
12.4
11.1
13.7
11.3
11.6
10.9
Higher part-time
5.6
6.3
5.1
0.8
0.4
1.2
2.5
3.8
1.6
3.6
3.9
3.4
1.0
1.4
0.5
0.5
0.6
0.5
Total
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
(^2) χ (5) = 11,053, p < 0.1; Cramér’s V = 0.149
(^2) χ (6) = 5.059,
n.s
;
Cramér’s V = 0.101
(^2) χ (5) = 9.079,
n.s
;
Cramér’s V = 0.133
(^2) χ (5) = 7.186,
n.s.
;
Cramér’s V = 0.116
(^2) χ (5) = 1.941,
n.s.
;
Cramér’s V = 0.068
(^2) χ (6) = 0.746,
n.s
;
Cramér’s V = 0.044