Age group |
Total |
|
|
|
|
|
|
|
|
15–19 |
2.1 |
16.0 |
4.5 |
22.7 |
9.5 |
70.5 |
20.0 |
100.0 |
20–24 |
29.3 |
173.9 |
33.8 |
237.0 |
12.3 |
73.4 |
14.3 |
100.0 |
25–29 |
87.7 |
268.8 |
63.2 |
419.7 |
20.9 |
64.0 |
15.1 |
100.0 |
30–34 |
89.5 |
264.5 |
57.3 |
411.3 |
21.8 |
64.3 |
13.9 |
100.0 |
35–39 |
100.1 |
302.0 |
47.0 |
449.1 |
22.3 |
67.2 |
10.5 |
100.0 |
40–44 |
139.7 |
402.7 |
56.3 |
598.7 |
23.3 |
67.3 |
9.4 |
100.0 |
45–49 |
143.3 |
353.5 |
47.5 |
544.3 |
26.3 |
64.9 |
8.7 |
100.0 |
50–54 |
131.2 |
296.6 |
43.7 |
471.5 |
27.8 |
62.9 |
9.3 |
100.0 |
55–59 |
101.7 |
226.4 |
34.1 |
362.2 |
28.1 |
62.5 |
9.4 |
100.0 |
60–64 |
57.9 |
145.5 |
21.7 |
225.0 |
25.7 |
64.6 |
9.6 |
100.0 |
Total |
882.6 |
2 449.8 |
409.1 |
3 741.6 |
23.6 |
65.5 |
10.9 |
100.0 |
Male |
|
|
|
|
|
|
|
|
15–19 |
1.3 |
10.1 |
2.7 |
14.1 |
9.1 |
71.6 |
19.3 |
100.0 |
20–24 |
15.5 |
99.7 |
16.4 |
131.6 |
11.7 |
75.8 |
12.5 |
100.0 |
25–29 |
42.4 |
157.3 |
36.7 |
236.4 |
17.9 |
66.5 |
15.5 |
100.0 |
30–34 |
55.9 |
155.6 |
38.8 |
250.3 |
22.3 |
62.2 |
15.5 |
100.0 |
35–39 |
54.0 |
167.9 |
29.9 |
251.8 |
21.4 |
66.7 |
11.9 |
100.0 |
40–44 |
69.3 |
206.5 |
34.2 |
310.1 |
22.4 |
66.6 |
11.0 |
100.0 |
45–49 |
60.7 |
177.4 |
27.1 |
265.2 |
22.9 |
66.9 |
10.2 |
100.0 |
50–54 |
60.9 |
149.5 |
21.7 |
232.2 |
26.2 |
64.4 |
9.4 |
100.0 |
55–59 |
50.2 |
110.0 |
19.2 |
179.4 |
28.0 |
61.3 |
10.7 |
100.0 |
60–64 |
37.0 |
89.9 |
12.7 |
139.5 |
26.5 |
64.4 |
9.1 |
100.0 |
Total |
447.2 |
1 323.9 |
239.5 |
2 010.7 |
22.2 |
65.8 |
11.9 |
100.0 |
Female |
|
|
|
|
|
|
|
|
15–19 |
0.9 |
5.9 |
1.8 |
8.5 |
10.1 |
68.7 |
21.3 |
100.0 |
20–24 |
13.8 |
74.2 |
17.4 |
105.4 |
13.1 |
70.4 |
16.5 |
100.0 |
25–29 |
45.3 |
111.5 |
26.5 |
183.2 |
24.7 |
60.8 |
14.4 |
100.0 |
30–34 |
33.6 |
108.9 |
18.5 |
161.0 |
20.9 |
67.6 |
11.5 |
100.0 |
35–39 |
46.2 |
134.1 |
17.2 |
197.4 |
23.4 |
67.9 |
8.7 |
100.0 |
40–44 |
70.4 |
196.2 |
22.0 |
288.6 |
24.4 |
68.0 |
7.6 |
100.0 |
45–49 |
82.5 |
176.1 |
20.4 |
279.1 |
29.6 |
63.1 |
7.3 |
100.0 |
50–54 |
70.3 |
147.1 |
21.9 |
239.3 |
29.4 |
61.5 |
9.2 |
100.0 |
55–59 |
51.5 |
116.3 |
14.9 |
182.8 |
28.2 |
63.6 |
8.2 |
100.0 |
60–64 |
20.9 |
55.6 |
9.0 |
85.5 |
24.5 |
65.0 |
10.5 |
100.0 |
Total |
435.4 |
1 125.9 |
169.6 |
1 730.9 |
25.2 |
65.0 |
9.8 |
100.0 |
Educational attainment |
Total |
|
|
|
|
|
|
|
|
At most 8 grades of primary school |
51.4 |
330.7 |
70.8 |
452.9 |
11.3 |
73.0 |
15.6 |
100.0 |
Vocational school, apprentice school |
186.2 |
741.8 |
125.2 |
1 053.2 |
17.7 |
70.4 |
11.9 |
100.0 |
Secondary general school |
103.9 |
334.5 |
53.6 |
491.9 |
21.1 |
68.0 |
10.9 |
100.0 |
Secondary vocational school |
196.9 |
493.0 |
77.9 |
767.9 |
25.6 |
64.2 |
10.2 |
100.0 |
College, university, PhD, DLA |
344.2 |
549.8 |
81.6 |
975.6 |
35.3 |
56.4 |
8.4 |
100.0 |
Male |
|
|
|
|
|
|
|
|
At most 8 grades of primary school |
23.5 |
181.1 |
40.6 |
245.2 |
9.6 |
73.9 |
16.6 |
100.0 |
Vocational school, apprentice school |
124.5 |
517.6 |
89.9 |
732.0 |
17.0 |
70.7 |
12.3 |
100.0 |
Secondary general school |
46.0 |
133.8 |
25.2 |
204.9 |
22.4 |
65.3 |
12.3 |
100.0 |
Secondary vocational school |
114.6 |
248.6 |
43.0 |
406.2 |
28.2 |
61.2 |
10.6 |
100.0 |
College, university, PhD, DLA |
138.8 |
242.7 |
40.9 |
422.3 |
32.9 |
57.5 |
9.7 |
100.0 |
Female |
|
|
|
|
|
|
|
|
At most 8 grades of primary school |
27.9 |
149.6 |
30.2 |
207.7 |
13.5 |
72.0 |
14.5 |
100.0 |
Vocational school, apprentice school |
61.7 |
224.1 |
35.3 |
321.2 |
19.2 |
69.8 |
11.0 |
100.0 |
Secondary general school |
57.9 |
200.7 |
28.4 |
287.0 |
20.2 |
69.9 |
9.9 |
100.0 |
Secondary vocational school |
82.4 |
244.4 |
34.9 |
361.7 |
22.8 |
67.6 |
9.7 |
100.0 |
College, university, PhD, DLA |
205.5 |
307.1 |
40.8 |
553.3 |
37.1 |
55.5 |
7.4 |
100.0 |
Region of residence |
Total |
|
|
|
|
|
|
|
|
Budapest |
157.0 |
433.5 |
61.5 |
651.9 |
24.1 |
66.5 |
9.4 |
100.0 |
Pest |
88.7 |
346.9 |
67.0 |
502.5 |
17.7 |
69.0 |
13.3 |
100.0 |
Central Transdanubia |
113.3 |
276.6 |
51.9 |
441.8 |
25.6 |
62.6 |
11.7 |
100.0 |
Western Transdanubia |
101.3 |
291.7 |
30.4 |
423.4 |
23.9 |
68.9 |
7.2 |
100.0 |
Southern Transdanubia |
78.0 |
177.3 |
30.5 |
285.8 |
27.3 |
62.0 |
10.7 |
100.0 |
Northern Hngary |
113.0 |
253.2 |
54.3 |
420.5 |
26.9 |
60.2 |
12.9 |
100.0 |
Northern Great Plain |
125.3 |
349.8 |
65.3 |
540.4 |
23.2 |
64.7 |
12.1 |
100.0 |
Southern Great Plain |
106.1 |
320.9 |
48.3 |
475.3 |
22.3 |
67.5 |
10.2 |
100.0 |
Male |
|
|
|
|
|
|
|
|
Budapest |
69.7 |
227.2 |
34.7 |
331.5 |
21.0 |
68.5 |
10.5 |
100.0 |
Pest |
42.1 |
183.7 |
40.1 |
265.8 |
15.8 |
69.1 |
15.1 |
100.0 |
Central Transdanubia |
60.6 |
151.0 |
30.7 |
242.2 |
25.0 |
62.3 |
12.7 |
100.0 |
Western Transdanubia |
55.1 |
156.3 |
19.7 |
231.2 |
23.8 |
67.6 |
8.5 |
100.0 |
Southern Transdanubia |
41.8 |
95.0 |
17.4 |
154.2 |
27.1 |
61.6 |
11.3 |
100.0 |
Northern Hngary |
63.0 |
135.5 |
32.6 |
231.1 |
27.3 |
58.6 |
14.1 |
100.0 |
Northern Great Plain |
64.2 |
193.2 |
37.2 |
294.6 |
21.8 |
65.6 |
12.6 |
100.0 |
Southern Great Plain |
50.8 |
182.1 |
27.2 |
260.1 |
19.5 |
70.0 |
10.5 |
100.0 |
Female |
|
|
|
|
|
|
|
|
Budapest |
87.3 |
206.2 |
26.8 |
320.4 |
27.3 |
64.4 |
8.4 |
100.0 |
Pest |
46.6 |
163.2 |
26.9 |
236.7 |
19.7 |
68.9 |
11.4 |
100.0 |
Central Transdanubia |
52.7 |
125.6 |
21.2 |
199.6 |
26.4 |
63.0 |
10.6 |
100.0 |
Western Transdanubia |
46.2 |
135.3 |
10.6 |
192.2 |
24.0 |
70.4 |
5.5 |
100.0 |
Southern Transdanubia |
36.2 |
82.3 |
13.0 |
131.6 |
27.5 |
62.6 |
9.9 |
100.0 |
Northern Hngary |
49.9 |
117.7 |
21.7 |
189.4 |
26.4 |
62.2 |
11.5 |
100.0 |
Northern Great Plain |
61.1 |
156.6 |
28.2 |
245.9 |
24.8 |
63.7 |
11.5 |
100.0 |
Southern Great Plain |
55.3 |
138.9 |
21.1 |
215.3 |
25.7 |
64.5 |
9.8 |
100.0 |
The administrative classification of residence |
Total |
|
|
|
|
|
|
|
|
town |
471.7 |
1 075.1 |
200.5 |
1 747.4 |
27.0 |
61.5 |
11.5 |
100.0 |
village |
253.9 |
941.2 |
147.2 |
1 342.3 |
18.9 |
70.1 |
11.0 |
100.0 |
Budapest |
157.0 |
433.5 |
61.5 |
651.9 |
24.1 |
66.5 |
9.4 |
100.0 |
Male |
|
|
|
|
|
|
|
|
town |
235.6 |
578.2 |
113.9 |
927.6 |
25.4 |
62.3 |
12.3 |
100.0 |
village |
142.0 |
518.5 |
91.0 |
751.5 |
18.9 |
69.0 |
12.1 |
100.0 |
Budapest |
69.7 |
227.2 |
34.7 |
331.5 |
21.0 |
68.5 |
10.5 |
100.0 |
Female |
|
|
|
|
|
|
|
|
town |
236.2 |
497.0 |
86.6 |
819.8 |
28.8 |
60.6 |
10.6 |
100.0 |
village |
111.9 |
422.7 |
56.2 |
590.8 |
18.9 |
71.6 |
9.5 |
100.0 |
Budapest |
87.3 |
206.2 |
26.8 |
320.4 |
27.3 |
64.4 |
8.4 |
100.0 |
Number of children |
Total |
|
|
|
|
|
|
|
|
no children under 15 |
617.8 |
1 642.1 |
288.5 |
2 548.5 |
24.2 |
64.4 |
11.3 |
100.0 |
1 child under 15 |
162.8 |
501.4 |
77.5 |
741.7 |
21.9 |
67.6 |
10.5 |
100.0 |
2 children under 15 |
79.0 |
234.1 |
30.6 |
343.7 |
23.0 |
68.1 |
8.9 |
100.0 |
3 or more children under 15 |
23.0 |
72.2 |
12.5 |
107.7 |
21.3 |
67.1 |
11.6 |
100.0 |
Male |
|
|
|
|
|
|
|
|
no children under 15 |
305.0 |
881.1 |
163.3 |
1 349.4 |
22.6 |
65.3 |
12.1 |
100.0 |
1 child under 15 |
82.2 |
267.8 |
46.6 |
396.6 |
20.7 |
67.5 |
11.7 |
100.0 |
2 children under 15 |
42.8 |
131.8 |
20.1 |
194.8 |
22.0 |
67.7 |
10.3 |
100.0 |
3 or more children under 15 |
17.2 |
43.2 |
9.6 |
69.9 |
24.6 |
61.8 |
13.7 |
100.0 |
Female |
|
|
|
|
|
|
|
|
no children under 15 |
312.8 |
761.1 |
125.2 |
1 199.1 |
26.1 |
63.5 |
10.4 |
100.0 |
1 child under 15 |
80.6 |
233.6 |
31.0 |
345.1 |
23.4 |
67.7 |
9.0 |
100.0 |
2 children under 15 |
36.2 |
102.3 |
10.5 |
148.9 |
24.3 |
68.7 |
7.0 |
100.0 |
3 or more children under 15 |
5.8 |
29.0 |
2.9 |
37.7 |
15.4 |
76.9 |
7.8 |
100.0 |
Part-time or full-time |
Total |
|
|
|
|
|
|
|
|
part-time |
25.0 |
130.3 |
20.9 |
176.1 |
14.2 |
74.0 |
11.9 |
100.0 |
full-time |
857.7 |
2 319.5 |
388.2 |
3 565.4 |
24.1 |
65.1 |
10.9 |
100.0 |
Male |
|
|
|
|
|
|
|
|
part-time |
6.7 |
41.7 |
8.5 |
56.9 |
11.8 |
73.3 |
14.9 |
100.0 |
full-time |
440.5 |
1 282.2 |
231.0 |
1 953.8 |
22.5 |
65.6 |
11.8 |
100.0 |
Female |
|
|
|
|
|
|
|
|
part-time |
18.3 |
88.6 |
12.4 |
119.2 |
15.3 |
74.3 |
10.4 |
100.0 |
full-time |
417.1 |
1 037.4 |
157.2 |
1 611.7 |
25.9 |
64.4 |
9.8 |
100.0 |
Main activity of employer – NACE Rev. |
Total |
|
|
|
|
|
|
|
|
agriculture |
5.6 |
122.2 |
14.7 |
142.5 |
3.9 |
85.8 |
10.3 |
100.0 |
industry |
302.7 |
797.1 |
170.3 |
1 270.1 |
23.8 |
62.8 |
13.4 |
100.0 |
service |
574.4 |
1 530.5 |
224.1 |
2 329.0 |
24.7 |
65.7 |
9.6 |
100.0 |
Male |
|
|
|
|
|
|
|
|
agriculture |
4.3 |
93.0 |
9.7 |
106.9 |
4.0 |
87.0 |
9.1 |
100.0 |
industry |
206.9 |
571.0 |
121.9 |
899.8 |
23.0 |
63.5 |
13.5 |
100.0 |
service |
236.0 |
659.9 |
108.0 |
1 003.9 |
23.5 |
65.7 |
10.8 |
100.0 |
Female |
|
|
|
|
|
|
|
|
agriculture |
1.3 |
29.3 |
5.0 |
35.6 |
3.7 |
82.2 |
14.1 |
100.0 |
industry |
95.7 |
226.1 |
48.5 |
370.3 |
25.9 |
61.1 |
13.1 |
100.0 |
service |
338.3 |
870.6 |
116.1 |
1 325.0 |
25.5 |
65.7 |
8.8 |
100.0 |
Occupation – FEOR |
Total |
|
|
|
|
|
|
|
|
intellectual |
508.5 |
939.5 |
140.4 |
1 588.5 |
32.0 |
59.1 |
8.8 |
100.0 |
manual |
374.1 |
1 510.3 |
268.7 |
2 153.1 |
17.4 |
70.1 |
12.5 |
100.0 |
Male |
|
|
|
|
|
|
|
|
intellectual |
190.4 |
378.6 |
61.0 |
630.0 |
30.2 |
60.1 |
9.7 |
100.0 |
manual |
256.8 |
945.3 |
178.5 |
1 380.6 |
18.6 |
68.5 |
12.9 |
100.0 |
Female |
|
|
|
|
|
|
|
|
intellectual |
318.1 |
560.9 |
79.4 |
958.5 |
33.2 |
58.5 |
8.3 |
100.0 |
manual |
117.3 |
565.0 |
90.2 |
772.5 |
15.2 |
73.1 |
11.7 |
100.0 |
Unusual work schedule |
Total |
|
|
|
|
|
|
|
|
yes, of which: |
254.8 |
409.6 |
109.9 |
774.2 |
32.9 |
52.9 |
14.2 |
100.0 |
in 2 shifts |
82.4 |
180.4 |
44.8 |
307.6 |
26.8 |
58.7 |
14.6 |
100.0 |
in 3 shifts |
91.9 |
93.0 |
34.8 |
219.7 |
41.8 |
42.3 |
15.9 |
100.0 |
other, varying shifts |
80.5 |
136.2 |
30.3 |
247.0 |
32.6 |
55.1 |
12.3 |
100.0 |
no |
627.9 |
2 040.2 |
299.2 |
2 967.4 |
21.2 |
68.8 |
10.1 |
100.0 |
Male |
|
|
|
|
|
|
|
|
yes, of which: |
167.3 |
226.0 |
68.7 |
461.9 |
36.2 |
48.9 |
14.9 |
100.0 |
in 2 shifts |
45.9 |
79.9 |
26.1 |
151.9 |
30.2 |
52.6 |
17.2 |
100.0 |
in 3 shifts |
58.1 |
53.1 |
19.7 |
130.9 |
44.4 |
40.6 |
15.0 |
100.0 |
other, varying shifts |
63.3 |
93.0 |
22.9 |
179.1 |
35.3 |
51.9 |
12.8 |
100.0 |
no |
280.0 |
1 097.9 |
170.9 |
1 548.7 |
18.1 |
70.9 |
11.0 |
100.0 |
Female |
|
|
|
|
|
|
|
|
yes, of which: |
87.5 |
183.6 |
41.2 |
312.3 |
28.0 |
58.8 |
13.2 |
100.0 |
in 2 shifts |
36.5 |
100.5 |
18.7 |
155.7 |
23.5 |
64.5 |
12.0 |
100.0 |
in 3 shifts |
33.7 |
39.9 |
15.1 |
88.7 |
38.0 |
44.9 |
17.1 |
100.0 |
other, varying shifts |
17.2 |
43.2 |
7.4 |
67.8 |
25.4 |
63.7 |
10.9 |
100.0 |
no |
347.9 |
942.4 |
128.4 |
1 418.6 |
24.5 |
66.4 |
9.0 |
100.0 |
Unusual working timea |
Total |
|
|
|
|
|
|
|
|
yes, of which: |
404.6 |
997.4 |
190.9 |
1 592.9 |
25.4 |
62.6 |
12.0 |
100.0 |
evening |
346.1 |
618.9 |
143.4 |
1 108.4 |
31.2 |
55.8 |
12.9 |
100.0 |
night |
219.9 |
249.9 |
81.9 |
551.6 |
39.9 |
45.3 |
14.8 |
100.0 |
Saturday |
334.9 |
873.9 |
160.0 |
1 368.8 |
24.5 |
63.8 |
11.7 |
100.0 |
Sunday |
240.3 |
472.2 |
94.9 |
807.5 |
29.8 |
58.5 |
11.8 |
100.0 |
no |
478.0 |
1 452.4 |
218.2 |
2 148.6 |
22.2 |
67.6 |
10.2 |
100.0 |
Male |
|
|
|
|
|
|
|
|
yes, of which: |
252.0 |
577.6 |
120.8 |
950.3 |
26.5 |
60.8 |
12.7 |
100.0 |
evening |
220.4 |
354.1 |
91.8 |
666.3 |
33.1 |
53.1 |
13.8 |
100.0 |
night |
147.6 |
163.8 |
55.7 |
367.0 |
40.2 |
44.6 |
15.2 |
100.0 |
Saturday |
210.0 |
507.5 |
103.0 |
820.6 |
25.6 |
61.9 |
12.6 |
100.0 |
Sunday |
155.7 |
266.6 |
59.0 |
481.3 |
32.3 |
55.4 |
12.3 |
100.0 |
no |
195.3 |
746.3 |
118.8 |
1 060.3 |
18.4 |
70.4 |
11.2 |
100.0 |
Female |
|
|
|
|
|
|
|
|
yes, of which: |
152.6 |
419.8 |
70.2 |
642.6 |
23.8 |
65.3 |
10.9 |
100.0 |
evening |
125.7 |
264.9 |
51.5 |
442.1 |
28.4 |
59.9 |
11.7 |
100.0 |
night |
72.3 |
86.1 |
26.1 |
184.6 |
39.2 |
46.7 |
14.2 |
100.0 |
Saturday |
124.9 |
366.4 |
56.9 |
548.2 |
22.8 |
66.8 |
10.4 |
100.0 |
Sunday |
84.6 |
205.6 |
35.9 |
326.1 |
25.9 |
63.1 |
11.0 |
100.0 |
no |
282.7 |
706.1 |
99.4 |
1 088.3 |
26.0 |
64.9 |
9.1 |
100.0 |
Working at home |
Total |
|
|
|
|
|
|
|
|
tipically works in his/her own home |
15.1 |
33.3 |
5.7 |
54.1 |
27.8 |
61.6 |
10.6 |
100.0 |
occasionally works in his/her own home |
40.8 |
78.7 |
20.9 |
140.5 |
29.1 |
56.0 |
14.9 |
100.0 |
newer works in his/her own home |
826.7 |
2 337.8 |
382.5 |
3 547.0 |
23.3 |
65.9 |
10.8 |
100.0 |
Male |
|
|
|
|
|
|
|
|
tipically works in his/her own home |
7.0 |
11.4 |
1.1 |
19.4 |
35.9 |
58.6 |
5.6 |
100.0 |
occasionally works in his/her own home |
19.5 |
39.7 |
12.3 |
71.4 |
27.3 |
55.5 |
17.2 |
100.0 |
newer works in his/her own home |
420.8 |
1 272.9 |
226.2 |
1 919.9 |
21.9 |
66.3 |
11.8 |
100.0 |
Female |
|
|
|
|
|
|
|
|
tipically works in his/her own home |
8.1 |
21.9 |
4.7 |
34.7 |
23.3 |
63.2 |
13.4 |
100.0 |
occasionally works in his/her own home |
21.4 |
39.1 |
8.6 |
69.1 |
30.9 |
56.6 |
12.5 |
100.0 |
newer works in his/her own home |
405.9 |
1 064.9 |
156.3 |
1 627.2 |
24.9 |
65.4 |
9.6 |
100.0 |
Ownership of employer |
Total |
|
|
|
|
|
|
|
|
pure state/municipial ownership |
497.5 |
531.7 |
122.5 |
1 151.7 |
43.2 |
46.2 |
10.6 |
100.0 |
pure private ownership |
343.3 |
1 764.5 |
248.2 |
2 356.0 |
14.6 |
74.9 |
10.5 |
100.0 |
mixed ownership |
22.0 |
32.5 |
11.4 |
65.8 |
33.4 |
49.3 |
17.3 |
100.0 |
other, do not know |
19.8 |
121.2 |
27.0 |
168.0 |
11.8 |
72.1 |
16.1 |
100.0 |
Male |
|
|
|
|
|
|
|
|
pure state/municipial ownership |
209.4 |
192.4 |
55.5 |
457.3 |
45.8 |
42.1 |
12.1 |
100.0 |
pure private ownership |
215.6 |
1 066.2 |
161.2 |
1 443.0 |
14.9 |
73.9 |
11.2 |
100.0 |
mixed ownership |
15.1 |
18.1 |
7.3 |
40.5 |
37.3 |
44.7 |
18.0 |
100.0 |
other, do not know |
7.1 |
47.2 |
15.6 |
69.9 |
10.1 |
67.6 |
22.3 |
100.0 |
Female |
|
|
|
|
|
|
|
|
pure state/municipial ownership |
288.1 |
339.2 |
67.1 |
694.4 |
41.5 |
48.9 |
9.7 |
100.0 |
pure private ownership |
127.7 |
698.3 |
87.0 |
913.0 |
14.0 |
76.5 |
9.5 |
100.0 |
mixed ownership |
6.9 |
14.4 |
4.1 |
25.3 |
27.1 |
56.7 |
16.1 |
100.0 |
other, do not know |
12.7 |
74.0 |
11.4 |
98.2 |
13.0 |
75.4 |
11.6 |
100.0 |
Employer size |
Total |
|
|
|
|
|
|
|
|
1–10 workers |
18.8 |
471.4 |
25.5 |
515.7 |
3.6 |
91.4 |
4.9 |
100.0 |
11–49 workers |
120.8 |
845.0 |
89.3 |
1 055.0 |
11.4 |
80.1 |
8.5 |
100.0 |
50–499 workers |
258.7 |
636.8 |
133.1 |
1 028.6 |
25.2 |
61.9 |
12.9 |
100.0 |
at least 500 workers |
388.4 |
231.4 |
82.6 |
702.4 |
55.3 |
32.9 |
11.8 |
100.0 |
do not know but more than 10 workers |
96.0 |
265.2 |
78.7 |
439.9 |
21.8 |
60.3 |
17.9 |
100.0 |
Male |
|
|
|
|
|
|
|
|
1–10 workers |
6.7 |
233.8 |
13.4 |
254.0 |
2.6 |
92.1 |
5.3 |
100.0 |
11–49 workers |
45.1 |
468.7 |
51.7 |
565.5 |
8.0 |
82.9 |
9.1 |
100.0 |
50–499 workers |
119.2 |
351.9 |
80.9 |
552.0 |
21.6 |
63.8 |
14.7 |
100.0 |
at least 500 workers |
223.2 |
121.7 |
48.8 |
393.7 |
56.7 |
30.9 |
12.4 |
100.0 |
do not know but more than 10 workers |
53.1 |
147.7 |
44.7 |
245.5 |
21.6 |
60.2 |
18.2 |
100.0 |
Female |
|
|
|
|
|
|
|
|
1–10 workers |
12.1 |
237.6 |
12.0 |
261.7 |
4.6 |
90.8 |
4.6 |
100.0 |
11–49 workers |
75.7 |
376.2 |
37.6 |
489.5 |
15.5 |
76.9 |
7.7 |
100.0 |
50–499 workers |
139.6 |
284.9 |
52.1 |
476.6 |
29.3 |
59.8 |
10.9 |
100.0 |
at least 500 workers |
165.2 |
109.7 |
33.8 |
308.7 |
53.5 |
35.5 |
10.9 |
100.0 |
do not know but more than 10 workers |
42.8 |
117.5 |
34.0 |
194.4 |
22.0 |
60.4 |
17.5 |
100.0 |
Duration of employment contract |
Total |
|
|
|
|
|
|
|
|
temporary |
20.0 |
175.4 |
41.6 |
237.0 |
8.4 |
74.0 |
17.5 |
100.0 |
permanent |
862.6 |
2 274.4 |
367.6 |
3 504.6 |
24.6 |
64.9 |
10.5 |
100.0 |
Male |
|
|
|
|
|
|
|
|
temporary |
8.4 |
82.9 |
20.8 |
112.1 |
7.5 |
73.9 |
18.6 |
100.0 |
permanent |
438.8 |
1 241.0 |
218.7 |
1 898.6 |
23.1 |
65.4 |
11.5 |
100.0 |
Female |
|
|
|
|
|
|
|
|
temporary |
11.6 |
92.6 |
20.8 |
124.9 |
9.3 |
74.1 |
16.6 |
100.0 |
permanent |
423.8 |
1 033.4 |
148.8 |
1 606.0 |
26.4 |
64.3 |
9.3 |
100.0 |