EIGE

F21a. Share of men employed in occupations of the EHW employment fields as a share of employees within a respective occupation bpfa_f__lfs_egai2d_ehw

Time format:
Years
Unit:
Percentage (comparable)
Description:

The share of women across occupations of the STEM industry enables monitoring of occupational segregation with a focus on the work fields that are marked by persistently high gender segregation.

To define occupations, the variable ‘Occupation (ISCO-08 COM)’ has been used (since 2011) in the EU-LFS dataset. As only a one-digit occupation classification has been used for Malta, it is not possible to include the data for Malta.

Due to data availability and reliability limits (i.e. small sample size) across Member States, data are based on two-year averages (2013 to 2014).

Specific keywords:
Beijing, BPfA, Economy
EL
MT
DK
SE
IT
ES
BE
AT
EA20
DE
FR
EU27_2020
NL
IE
PT
SI
PL
CZ
FI
RO
HR
HU
SK
LT
BG
CY
EE
LU
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
EL
31.2
30.4
30.6
31.4
33.9
34.7
34.1
33.6
33.8
34.5
36.2
35.4
36
36.2
MT
28.4
28
26.2
25.6
25.7
30.5
29.6
27.1
26.2
27.9
30.9
32.1
31.6
33.2
DK
25.9
25.1
24.7
24.7
24.7
24.5
24.4
24.6
25.1
25
24.9
23.4
24.6
25.5
SE
25.8
25
25.1
25
23.9
22.6
22
22.5
22.2
21.5
21.4
21.2
20.5
20.1
IT
25.3
25.1
26
25.4
26.4
26.1
25.4
25
25.6
26
26.7
27.3
26.8
26.4
ES
25.3
25.4
24.6
25.1
26
25.6
25.1
25
25.8
25.8
25.5
25
26
26.3
BE
23.8
22.8
23.2
24.6
23.5
21.4
22.2
23.1
22.6
23
23
23
24.3
24.4
AT
23.7
24
25.2
24.4
24.1
23.8
22.9
22.9
23
23.6
23.1
23.9
24.6
24
EA20
23.5
23.4
23.6
23.7
23.8
23.9
23.6
23.8
24
24
24.2
24.3
24.5
24.1
DE
23.5
23
23.8
24.2
24
25
25
25.2
25.3
25
25.1
25.3
25.3
23.7
FR
23.2
23.4
23
22.8
22.5
22.6
22.5
23.1
23.1
23.1
23.2
23
24.1
24.3
EU27_2020
23
22.8
23
23.1
23.3
23.2
22.9
23.1
23.2
23.3
23.4
23.5
23.7
23.5
NL
22.9
23.5
23.3
22.5
22.7
22.2
22
22.2
21.6
22
22.5
22.7
21.2
21.1
IE
22.8
21.5
22
20.9
21.5
21.8
21.1
20.1
19.6
19.6
19.9
19.9
19.3
19.3
PT
19.4
19.5
20
20.3
19.8
18.5
18.3
19.1
21
20.9
20.6
20.6
20.9
22
SI
19.3
19.8
22
21.9
21.1
21.4
20.7
21
22.5
23.5
22.9
20
19.1
18.3
PL
19.1
18.5
18.5
19.6
17.8
17.6
18.2
18.2
19.3
19.5
19.4
19.9
19.8
CZ
18.6
19.7
18.6
19.2
19.7
20.4
18.9
19.7
20
20
20.1
20
19.2
19.7
FI
18.4
18.7
17.6
18.1
19
17.9
17.9
17.9
17
16.3
16.9
17.2
16.3
17.4
RO
18.1
18.1
17.4
18.3
18.9
19.5
19.6
19.1
19.5
20
19.7
19.5
20.6
21.6
HR
17
18.5
15.8
17
18.5
19.3
18.2
19.3
17.8
19
20.4
HU
17
18.7
19.1
20.1
19.9
20.8
19.8
19.6
19.6
20.8
20.1
20.6
19.6
21
SK
16
16.2
18.3
17.1
17.1
16.4
16.5
16.7
15.9
14.7
17.1
17.6
16.9
16.9
LT
15.3
11.6
13.3
12.5
13.8
BG
18
17.5
18
18.9
18.5
17.4
17.7
16.7
CY
24.9
27.8
29.5
EE
11.6
LU
28.3
29.5
28.3
29.9
28.3
27.5
33.6
30.4
31.5

Available flags:

b break in time series c confidential
d definition differs, see metadata e estimated
f forecast i see metadata
m imputed n not significant
p provisional r revised
s Eurostat estimate u low reliability
x dropped due to insufficient sample size y unreliable due to small sample size
z not applicable