Age group |
Total |
|
|
|
|
|
|
|
|
15–19 |
5.7 |
3.8 |
4.7 |
14.1 |
40.3 |
26.6 |
33.1 |
100.0 |
20–24 |
38.0 |
25.7 |
38.8 |
102.5 |
37.1 |
25.1 |
37.9 |
100.0 |
25–29 |
36.3 |
36.2 |
84.7 |
157.2 |
23.1 |
23.0 |
53.9 |
100.0 |
30–34 |
34.0 |
36.3 |
80.3 |
150.6 |
22.6 |
24.1 |
53.3 |
100.0 |
35–39 |
39.4 |
47.5 |
79.3 |
166.2 |
23.7 |
28.6 |
47.7 |
100.0 |
40–44 |
45.7 |
55.4 |
120.2 |
221.3 |
20.6 |
25.0 |
54.3 |
100.0 |
45–49 |
45.8 |
47.9 |
100.3 |
194.1 |
23.6 |
24.7 |
51.7 |
100.0 |
50–54 |
38.7 |
43.9 |
86.8 |
169.4 |
22.8 |
25.9 |
51.3 |
100.0 |
55–59 |
30.5 |
29.9 |
61.0 |
121.4 |
25.2 |
24.6 |
50.2 |
100.0 |
60–64 |
15.6 |
14.3 |
28.8 |
58.7 |
26.5 |
24.4 |
49.1 |
100.0 |
Total |
329.7 |
340.9 |
684.9 |
1 355.5 |
24.3 |
25.1 |
50.5 |
100.0 |
Male |
|
|
|
|
|
|
|
|
15–19 |
4.3 |
1.8 |
2.6 |
8.8 |
49.2 |
20.6 |
30.2 |
100.0 |
20–24 |
21.8 |
12.3 |
18.4 |
52.5 |
41.6 |
23.3 |
35.0 |
100.0 |
25–29 |
21.3 |
17.8 |
41.5 |
80.7 |
26.4 |
22.1 |
51.5 |
100.0 |
30–34 |
18.2 |
20.1 |
48.0 |
86.3 |
21.1 |
23.3 |
55.6 |
100.0 |
35–39 |
20.5 |
24.7 |
39.2 |
84.4 |
24.3 |
29.3 |
46.5 |
100.0 |
40–44 |
24.9 |
26.8 |
53.7 |
105.4 |
23.6 |
25.4 |
50.9 |
100.0 |
45–49 |
22.3 |
16.6 |
41.5 |
80.4 |
27.8 |
20.7 |
51.6 |
100.0 |
50–54 |
17.2 |
18.9 |
30.6 |
66.7 |
25.8 |
28.3 |
45.9 |
100.0 |
55–59 |
12.5 |
13.1 |
23.2 |
48.8 |
25.5 |
26.9 |
47.6 |
100.0 |
60–64 |
12.0 |
7.0 |
12.4 |
31.5 |
38.1 |
22.4 |
39.6 |
100.0 |
Total |
175.0 |
159.1 |
311.2 |
645.3 |
27.1 |
24.7 |
48.2 |
100.0 |
Female |
|
|
|
|
|
|
|
|
15–19 |
1.4 |
1.9 |
2.0 |
5.3 |
25.5 |
36.6 |
37.9 |
100.0 |
20–24 |
16.2 |
13.4 |
20.4 |
50.0 |
32.3 |
26.8 |
40.8 |
100.0 |
25–29 |
15.0 |
18.4 |
43.2 |
76.5 |
19.6 |
24.0 |
56.4 |
100.0 |
30–34 |
15.8 |
16.2 |
32.3 |
64.3 |
24.5 |
25.2 |
50.3 |
100.0 |
35–39 |
18.9 |
22.8 |
40.1 |
81.8 |
23.1 |
27.9 |
49.0 |
100.0 |
40–44 |
20.8 |
28.6 |
66.5 |
115.9 |
17.9 |
24.7 |
57.4 |
100.0 |
45–49 |
23.5 |
31.3 |
58.8 |
113.6 |
20.7 |
27.6 |
51.8 |
100.0 |
50–54 |
21.5 |
25.0 |
56.2 |
102.7 |
20.9 |
24.3 |
54.8 |
100.0 |
55–59 |
18.1 |
16.7 |
37.8 |
72.6 |
24.9 |
23.1 |
52.0 |
100.0 |
60–64 |
3.6 |
7.3 |
16.4 |
27.2 |
13.2 |
26.8 |
60.1 |
100.0 |
Total |
154.7 |
181.7 |
373.8 |
710.1 |
21.8 |
25.6 |
52.6 |
100.0 |
Educational attainment |
Total |
|
|
|
|
|
|
|
|
At most 8 grades of primary school |
68.0 |
29.4 |
26.1 |
123.4 |
55.1 |
23.8 |
21.1 |
100.0 |
Vocational school, apprentice school |
104.1 |
76.4 |
90.4 |
270.8 |
38.4 |
28.2 |
33.4 |
100.0 |
Secondary general school |
41.7 |
46.5 |
74.1 |
162.3 |
25.7 |
28.6 |
45.7 |
100.0 |
Secondary vocational school |
61.7 |
71.0 |
152.2 |
285.0 |
21.6 |
24.9 |
53.4 |
100.0 |
College, university, PhD, DLA |
54.2 |
117.7 |
342.1 |
513.9 |
10.5 |
22.9 |
66.6 |
100.0 |
Male |
|
|
|
|
|
|
|
|
At most 8 grades of primary school |
35.1 |
16.1 |
13.6 |
64.8 |
54.2 |
24.8 |
21.0 |
100.0 |
Vocational school, apprentice school |
71.2 |
50.4 |
65.4 |
186.9 |
38.1 |
26.9 |
35.0 |
100.0 |
Secondary general school |
13.7 |
15.0 |
29.6 |
58.4 |
23.5 |
25.8 |
50.8 |
100.0 |
Secondary vocational school |
35.0 |
30.8 |
78.1 |
143.9 |
24.3 |
21.4 |
54.3 |
100.0 |
College, university, PhD, DLA |
20.0 |
46.9 |
124.5 |
191.4 |
10.5 |
24.5 |
65.0 |
100.0 |
Female |
|
|
|
|
|
|
|
|
At most 8 grades of primary school |
32.9 |
13.3 |
12.5 |
58.6 |
56.1 |
22.7 |
21.2 |
100.0 |
Vocational school, apprentice school |
32.9 |
26.0 |
25.0 |
83.9 |
39.2 |
31.0 |
29.8 |
100.0 |
Secondary general school |
28.0 |
31.4 |
44.5 |
103.9 |
27.0 |
30.2 |
42.8 |
100.0 |
Secondary vocational school |
26.7 |
40.2 |
74.1 |
141.1 |
18.9 |
28.5 |
52.6 |
100.0 |
College, university, PhD, DLA |
34.1 |
70.8 |
217.6 |
322.6 |
10.6 |
21.9 |
67.5 |
100.0 |
Region of residence |
Total |
|
|
|
|
|
|
|
|
Budapest |
48.8 |
59.9 |
116.7 |
225.3 |
21.6 |
26.6 |
51.8 |
100.0 |
Pest |
32.9 |
40.7 |
87.3 |
160.9 |
20.5 |
25.3 |
54.2 |
100.0 |
Central Transdanubia |
35.6 |
46.9 |
76.8 |
159.3 |
22.3 |
29.5 |
48.2 |
100.0 |
Western Transdanubia |
20.4 |
32.2 |
68.4 |
120.9 |
16.9 |
26.6 |
56.5 |
100.0 |
Southern Transdanubia |
32.6 |
14.5 |
47.4 |
94.5 |
34.5 |
15.4 |
50.1 |
100.0 |
Northern Hngary |
51.3 |
37.4 |
92.6 |
181.3 |
28.3 |
20.6 |
51.1 |
100.0 |
Northern Great Plain |
60.6 |
57.0 |
99.3 |
217.0 |
27.9 |
26.3 |
45.8 |
100.0 |
Southern Great Plain |
47.5 |
52.3 |
96.5 |
196.3 |
24.2 |
26.6 |
49.2 |
100.0 |
Male |
|
|
|
|
|
|
|
|
Budapest |
25.9 |
28.4 |
41.4 |
95.6 |
27.0 |
29.7 |
43.3 |
100.0 |
Pest |
18.8 |
19.2 |
37.4 |
75.4 |
24.9 |
25.5 |
49.6 |
100.0 |
Central Transdanubia |
19.5 |
19.8 |
35.5 |
74.8 |
26.1 |
26.4 |
47.5 |
100.0 |
Western Transdanubia |
9.8 |
14.6 |
34.5 |
59.0 |
16.7 |
24.8 |
58.5 |
100.0 |
Southern Transdanubia |
16.8 |
6.5 |
21.3 |
44.5 |
37.6 |
14.5 |
47.9 |
100.0 |
Northern Hngary |
26.8 |
15.9 |
48.6 |
91.3 |
29.4 |
17.4 |
53.2 |
100.0 |
Northern Great Plain |
31.6 |
29.6 |
45.1 |
106.4 |
29.7 |
27.8 |
42.4 |
100.0 |
Southern Great Plain |
25.8 |
25.2 |
47.3 |
98.3 |
26.2 |
25.6 |
48.1 |
100.0 |
Female |
|
|
|
|
|
|
|
|
Budapest |
22.9 |
31.5 |
75.3 |
129.7 |
17.7 |
24.3 |
58.1 |
100.0 |
Pest |
14.1 |
21.5 |
49.9 |
85.5 |
16.5 |
25.2 |
58.3 |
100.0 |
Central Transdanubia |
16.1 |
27.2 |
41.3 |
84.5 |
19.0 |
32.1 |
48.9 |
100.0 |
Western Transdanubia |
10.6 |
17.5 |
33.8 |
62.0 |
17.1 |
28.3 |
54.6 |
100.0 |
Southern Transdanubia |
15.8 |
8.1 |
26.1 |
50.0 |
31.7 |
16.1 |
52.2 |
100.0 |
Northern Hngary |
24.5 |
21.5 |
44.0 |
90.0 |
27.2 |
23.9 |
48.9 |
100.0 |
Northern Great Plain |
29.0 |
27.4 |
54.2 |
110.6 |
26.2 |
24.8 |
49.0 |
100.0 |
Southern Great Plain |
21.8 |
27.1 |
49.2 |
98.0 |
22.2 |
27.6 |
50.2 |
100.0 |
The administrative classification of residence |
Total |
|
|
|
|
|
|
|
|
town |
152.2 |
171.3 |
355.5 |
679.0 |
22.4 |
25.2 |
52.4 |
100.0 |
village |
128.8 |
109.7 |
212.7 |
451.2 |
28.5 |
24.3 |
47.1 |
100.0 |
Budapest |
48.8 |
59.9 |
116.7 |
225.3 |
21.6 |
26.6 |
51.8 |
100.0 |
Male |
|
|
|
|
|
|
|
|
town |
79.2 |
75.3 |
162.8 |
317.3 |
25.0 |
23.7 |
51.3 |
100.0 |
village |
70.0 |
55.5 |
107.0 |
232.4 |
30.1 |
23.9 |
46.0 |
100.0 |
Budapest |
25.9 |
28.4 |
41.4 |
95.6 |
27.0 |
29.7 |
43.3 |
100.0 |
Female |
|
|
|
|
|
|
|
|
town |
73.0 |
96.0 |
192.7 |
361.7 |
20.2 |
26.5 |
53.3 |
100.0 |
village |
58.8 |
54.2 |
105.8 |
218.8 |
26.9 |
24.8 |
48.3 |
100.0 |
Budapest |
22.9 |
31.5 |
75.3 |
129.7 |
17.7 |
24.3 |
58.1 |
100.0 |
Number of children |
Total |
|
|
|
|
|
|
|
|
no children under 15 |
225.1 |
227.2 |
458.0 |
910.3 |
24.7 |
25.0 |
50.3 |
100.0 |
1 child under 15 |
67.3 |
67.8 |
139.0 |
274.1 |
24.5 |
24.7 |
50.7 |
100.0 |
2 children under 15 |
27.5 |
37.2 |
68.3 |
133.0 |
20.7 |
28.0 |
51.4 |
100.0 |
3 or more children under 15 |
9.8 |
8.7 |
19.6 |
38.1 |
25.7 |
22.8 |
51.6 |
100.0 |
Male |
|
|
|
|
|
|
|
|
no children under 15 |
116.6 |
103.2 |
204.7 |
424.5 |
27.5 |
24.3 |
48.2 |
100.0 |
1 child under 15 |
37.1 |
31.4 |
59.3 |
127.8 |
29.1 |
24.6 |
46.4 |
100.0 |
2 children under 15 |
14.3 |
19.4 |
34.2 |
68.0 |
21.1 |
28.6 |
50.3 |
100.0 |
3 or more children under 15 |
7.0 |
5.2 |
13.0 |
25.1 |
27.8 |
20.5 |
51.7 |
100.0 |
Female |
|
|
|
|
|
|
|
|
no children under 15 |
108.5 |
124.0 |
253.3 |
485.9 |
22.3 |
25.5 |
52.1 |
100.0 |
1 child under 15 |
30.2 |
36.4 |
79.7 |
146.3 |
20.6 |
24.9 |
54.5 |
100.0 |
2 children under 15 |
13.2 |
17.7 |
34.1 |
65.0 |
20.3 |
27.3 |
52.4 |
100.0 |
3 or more children under 15 |
2.8 |
3.5 |
6.7 |
13.0 |
21.5 |
27.1 |
51.3 |
100.0 |
Part-time or full-time |
Total |
|
|
|
|
|
|
|
|
part-time |
18.0 |
8.4 |
21.0 |
47.4 |
38.0 |
17.8 |
44.2 |
100.0 |
full-time |
311.6 |
332.4 |
664.0 |
1 308.0 |
23.8 |
25.4 |
50.8 |
100.0 |
Male |
|
|
|
|
|
|
|
|
part-time |
5.8 |
2.9 |
3.2 |
11.8 |
48.8 |
24.4 |
26.8 |
100.0 |
full-time |
169.3 |
156.3 |
308.0 |
633.6 |
26.7 |
24.7 |
48.6 |
100.0 |
Female |
|
|
|
|
|
|
|
|
part-time |
12.3 |
5.6 |
17.8 |
35.7 |
34.5 |
15.6 |
49.9 |
100.0 |
full-time |
142.4 |
176.1 |
356.0 |
674.5 |
21.1 |
26.1 |
52.8 |
100.0 |
Main activity of employer – NACE Rev. |
Total |
|
|
|
|
|
|
|
|
agriculture |
14.4 |
6.4 |
12.2 |
33.0 |
43.6 |
19.4 |
37.1 |
100.0 |
industry |
118.9 |
100.3 |
151.1 |
370.2 |
32.1 |
27.1 |
40.8 |
100.0 |
service |
196.4 |
234.2 |
521.7 |
952.3 |
20.6 |
24.6 |
54.8 |
100.0 |
Male |
|
|
|
|
|
|
|
|
agriculture |
11.8 |
5.0 |
9.6 |
26.4 |
44.7 |
18.8 |
36.5 |
100.0 |
industry |
87.4 |
70.1 |
108.5 |
266.0 |
32.8 |
26.4 |
40.8 |
100.0 |
service |
75.9 |
84.1 |
193.1 |
353.0 |
21.5 |
23.8 |
54.7 |
100.0 |
Female |
|
|
|
|
|
|
|
|
agriculture |
2.6 |
1.4 |
2.6 |
6.6 |
39.1 |
21.5 |
39.4 |
100.0 |
industry |
31.5 |
30.1 |
42.6 |
104.3 |
30.2 |
28.9 |
40.9 |
100.0 |
service |
120.6 |
150.1 |
328.6 |
599.3 |
20.1 |
25.1 |
54.8 |
100.0 |
Occupation - FEOR |
Total |
|
|
|
|
|
|
|
|
intellectual |
104.2 |
178.8 |
467.4 |
750.5 |
13.9 |
23.8 |
62.3 |
100.0 |
manual |
225.4 |
162.1 |
217.5 |
605.0 |
37.3 |
26.8 |
36.0 |
100.0 |
Male |
|
|
|
|
|
|
|
|
intellectual |
35.5 |
62.2 |
165.3 |
263.0 |
13.5 |
23.7 |
62.9 |
100.0 |
manual |
139.6 |
96.9 |
145.8 |
382.3 |
36.5 |
25.4 |
38.1 |
100.0 |
Female |
|
|
|
|
|
|
|
|
intellectual |
68.8 |
116.6 |
302.1 |
487.5 |
14.1 |
23.9 |
62.0 |
100.0 |
manual |
85.9 |
65.1 |
71.7 |
222.7 |
38.6 |
29.2 |
32.2 |
100.0 |
Unusual work schedule |
Total |
|
|
|
|
|
|
|
|
yes, of which: |
74.0 |
75.5 |
144.4 |
293.9 |
25.2 |
25.7 |
49.1 |
100.0 |
in 2 shifts |
35.3 |
23.4 |
47.8 |
106.5 |
33.1 |
22.0 |
44.9 |
100.0 |
in 3 shifts |
19.7 |
25.3 |
36.8 |
81.8 |
24.1 |
30.9 |
45.0 |
100.0 |
other, varying shifts |
19.0 |
26.9 |
59.7 |
105.6 |
18.0 |
25.5 |
56.6 |
100.0 |
no |
255.7 |
265.3 |
540.6 |
1 061.6 |
24.1 |
25.0 |
50.9 |
100.0 |
Male |
|
|
|
|
|
|
|
|
yes, of which: |
41.4 |
38.0 |
87.2 |
166.6 |
24.9 |
22.8 |
52.3 |
100.0 |
in 2 shifts |
15.5 |
10.0 |
23.9 |
49.4 |
31.3 |
20.3 |
48.4 |
100.0 |
in 3 shifts |
10.9 |
10.8 |
23.8 |
45.5 |
24.0 |
23.7 |
52.3 |
100.0 |
other, varying shifts |
15.0 |
17.2 |
39.5 |
71.7 |
20.9 |
24.0 |
55.1 |
100.0 |
no |
133.6 |
121.2 |
224.0 |
478.7 |
27.9 |
25.3 |
46.8 |
100.0 |
Female |
|
|
|
|
|
|
|
|
yes, of which: |
32.6 |
37.6 |
57.2 |
127.3 |
25.6 |
29.5 |
44.9 |
100.0 |
in 2 shifts |
19.8 |
13.4 |
23.9 |
57.1 |
34.7 |
23.4 |
41.9 |
100.0 |
in 3 shifts |
8.8 |
14.5 |
13.0 |
36.3 |
24.2 |
39.9 |
35.9 |
100.0 |
other, varying shifts |
4.0 |
9.7 |
20.2 |
33.9 |
11.7 |
28.7 |
59.6 |
100.0 |
no |
122.1 |
144.1 |
316.6 |
582.9 |
20.9 |
24.7 |
54.3 |
100.0 |
Unusual working timea |
Total |
|
|
|
|
|
|
|
|
yes, of which: |
132.4 |
152.9 |
282.1 |
567.5 |
23.3 |
27.0 |
49.7 |
100.0 |
evening |
93.7 |
114.9 |
223.2 |
431.9 |
21.7 |
26.6 |
51.7 |
100.0 |
night |
42.4 |
63.0 |
125.1 |
230.5 |
18.4 |
27.3 |
54.3 |
100.0 |
Saturday |
113.0 |
129.6 |
238.0 |
480.6 |
23.5 |
27.0 |
49.5 |
100.0 |
Sunday |
70.6 |
84.4 |
157.9 |
312.9 |
22.6 |
27.0 |
50.5 |
100.0 |
no |
197.2 |
187.9 |
402.8 |
788.0 |
25.0 |
23.8 |
51.1 |
100.0 |
Male |
|
|
|
|
|
|
|
|
yes, of which: |
76.6 |
76.9 |
155.2 |
308.7 |
24.8 |
24.9 |
50.3 |
100.0 |
evening |
55.0 |
58.4 |
126.4 |
239.8 |
22.9 |
24.4 |
52.7 |
100.0 |
night |
28.7 |
36.2 |
82.0 |
146.9 |
19.6 |
24.7 |
55.8 |
100.0 |
Saturday |
67.5 |
64.0 |
133.1 |
264.5 |
25.5 |
24.2 |
50.3 |
100.0 |
Sunday |
42.2 |
41.3 |
93.8 |
177.4 |
23.8 |
23.3 |
52.9 |
100.0 |
no |
98.4 |
82.3 |
156.0 |
336.6 |
29.2 |
24.4 |
46.3 |
100.0 |
Female |
|
|
|
|
|
|
|
|
yes, of which: |
55.8 |
76.0 |
126.9 |
258.7 |
21.6 |
29.4 |
49.0 |
100.0 |
evening |
38.7 |
56.5 |
96.8 |
192.1 |
20.2 |
29.4 |
50.4 |
100.0 |
night |
13.6 |
26.8 |
43.2 |
83.6 |
16.3 |
32.0 |
51.7 |
100.0 |
Saturday |
45.5 |
65.7 |
104.8 |
216.0 |
21.1 |
30.4 |
48.5 |
100.0 |
Sunday |
28.4 |
43.0 |
64.0 |
135.5 |
21.0 |
31.8 |
47.3 |
100.0 |
no |
98.9 |
105.7 |
246.9 |
451.4 |
21.9 |
23.4 |
54.7 |
100.0 |
Working at home |
Total |
|
|
|
|
|
|
|
|
tipically works in his/her own home |
2.9 |
4.3 |
30.9 |
38.0 |
7.6 |
11.2 |
81.2 |
100.0 |
occasionally works in his/her own home |
7.0 |
19.1 |
54.0 |
80.0 |
8.7 |
23.8 |
67.4 |
100.0 |
newer works in his/her own home |
319.8 |
317.5 |
600.1 |
1 237.4 |
25.8 |
25.7 |
48.5 |
100.0 |
Male |
|
|
|
|
|
|
|
|
tipically works in his/her own home |
1.8 |
2.2 |
10.1 |
14.1 |
12.9 |
15.6 |
71.5 |
100.0 |
occasionally works in his/her own home |
2.2 |
8.7 |
26.0 |
36.9 |
6.1 |
23.5 |
70.4 |
100.0 |
newer works in his/her own home |
171.0 |
148.3 |
275.1 |
594.3 |
28.8 |
24.9 |
46.3 |
100.0 |
Female |
|
|
|
|
|
|
|
|
tipically works in his/her own home |
1.1 |
2.1 |
20.8 |
23.9 |
4.4 |
8.7 |
86.9 |
100.0 |
occasionally works in his/her own home |
4.7 |
10.4 |
28.0 |
43.1 |
11.0 |
24.1 |
64.9 |
100.0 |
newer works in his/her own home |
148.9 |
169.2 |
325.0 |
643.1 |
23.1 |
26.3 |
50.5 |
100.0 |
Ownership of employer |
Total |
|
|
|
|
|
|
|
|
pure state/municipial ownership |
105.8 |
138.7 |
326.2 |
570.6 |
18.5 |
24.3 |
57.2 |
100.0 |
pure private ownership |
210.0 |
181.2 |
313.5 |
704.7 |
29.8 |
25.7 |
44.5 |
100.0 |
mixed ownership |
2.6 |
5.8 |
10.6 |
18.9 |
13.5 |
30.7 |
55.8 |
100.0 |
other, do not know |
11.4 |
15.1 |
34.7 |
61.2 |
18.6 |
24.7 |
56.7 |
100.0 |
Male |
|
|
|
|
|
|
|
|
pure state/municipial ownership |
38.2 |
43.4 |
118.3 |
199.9 |
19.1 |
21.7 |
59.2 |
100.0 |
pure private ownership |
131.6 |
107.7 |
176.6 |
416.0 |
31.6 |
25.9 |
42.5 |
100.0 |
mixed ownership |
1.6 |
3.4 |
6.8 |
11.8 |
13.5 |
28.9 |
57.6 |
100.0 |
other, do not know |
3.6 |
4.7 |
9.5 |
17.8 |
20.2 |
26.3 |
53.5 |
100.0 |
Female |
|
|
|
|
|
|
|
|
pure state/municipial ownership |
67.6 |
95.3 |
207.9 |
370.8 |
18.2 |
25.7 |
56.1 |
100.0 |
pure private ownership |
78.3 |
73.5 |
136.9 |
288.7 |
27.1 |
25.5 |
47.4 |
100.0 |
mixed ownership |
1.0 |
2.4 |
3.8 |
7.2 |
13.6 |
33.6 |
52.8 |
100.0 |
other, do not know |
7.8 |
10.4 |
25.2 |
43.5 |
17.9 |
24.0 |
58.1 |
100.0 |
Employer size |
Total |
|
|
|
|
|
|
|
|
1–10 workers |
44.7 |
47.7 |
88.1 |
180.5 |
24.8 |
26.4 |
48.8 |
100.0 |
11–49 workers |
92.2 |
77.5 |
146.1 |
315.8 |
29.2 |
24.5 |
46.3 |
100.0 |
50–499 workers |
85.6 |
88.2 |
183.1 |
356.9 |
24.0 |
24.7 |
51.3 |
100.0 |
at least 500 workers |
50.1 |
72.1 |
182.2 |
304.4 |
16.4 |
23.7 |
59.9 |
100.0 |
do not know but more than 10 workers |
57.1 |
55.3 |
85.4 |
197.9 |
28.8 |
28.0 |
43.2 |
100.0 |
Male |
|
|
|
|
|
|
|
|
1–10 workers |
23.8 |
21.8 |
32.0 |
77.5 |
30.7 |
28.1 |
41.3 |
100.0 |
11–49 workers |
48.2 |
31.5 |
53.9 |
133.7 |
36.1 |
23.6 |
40.3 |
100.0 |
50–499 workers |
44.3 |
40.8 |
83.8 |
168.9 |
26.2 |
24.2 |
49.6 |
100.0 |
at least 500 workers |
26.7 |
35.3 |
99.4 |
161.3 |
16.5 |
21.9 |
61.6 |
100.0 |
do not know but more than 10 workers |
32.1 |
29.8 |
42.1 |
104.0 |
30.8 |
28.6 |
40.5 |
100.0 |
Female |
|
|
|
|
|
|
|
|
1–10 workers |
20.9 |
26.0 |
56.1 |
103.0 |
20.3 |
25.2 |
54.5 |
100.0 |
11–49 workers |
44.0 |
46.0 |
92.2 |
182.1 |
24.1 |
25.3 |
50.6 |
100.0 |
50–499 workers |
41.3 |
47.3 |
99.3 |
188.0 |
22.0 |
25.2 |
52.8 |
100.0 |
at least 500 workers |
23.4 |
36.8 |
82.9 |
143.1 |
16.4 |
25.7 |
57.9 |
100.0 |
do not know but more than 10 workers |
25.0 |
25.6 |
43.3 |
93.9 |
26.6 |
27.2 |
46.1 |
100.0 |
Duration of employment contract |
Total |
|
|
|
|
|
|
|
|
temporary |
52.4 |
22.7 |
34.2 |
109.3 |
48.0 |
20.7 |
31.3 |
100.0 |
permanent |
273.1 |
299.0 |
608.1 |
1 180.1 |
23.1 |
25.3 |
51.5 |
100.0 |
self-employed |
4.2 |
19.2 |
42.7 |
66.1 |
6.3 |
29.1 |
64.6 |
100.0 |
Male |
|
|
|
|
|
|
|
|
temporary |
23.1 |
8.5 |
15.0 |
46.6 |
49.6 |
18.3 |
32.2 |
100.0 |
permanent |
149.0 |
139.3 |
278.2 |
566.5 |
26.3 |
24.6 |
49.1 |
100.0 |
self-employed |
2.9 |
11.3 |
18.0 |
32.2 |
9.0 |
35.1 |
55.9 |
100.0 |
Female |
|
|
|
|
|
|
|
|
temporary |
29.3 |
14.2 |
19.2 |
62.7 |
46.8 |
22.6 |
30.6 |
100.0 |
permanent |
124.1 |
159.6 |
329.9 |
613.6 |
20.2 |
26.0 |
53.8 |
100.0 |
self-employed |
1.3 |
7.9 |
24.7 |
33.9 |
3.8 |
23.4 |
72.9 |
100.0 |