EIGE

F8d. Gender pay gap based on gross yearly male and female wages, full-time and part-time employees of all sectors and separate for the private and public sectors bpfa_f__bpfa_f8d

Time format:
Years
Unit:
Percentage of male wages (comparable)
Description:

For each group by working time and sector, the gender pay gap is calculated as the difference between the average wages for women and for men as a percentage of the average wages for men:

(Average male wages - Average female wages) / (Average male wages) * 100

The available data do not allow a strict separation of public vs. private sector employment. Using the NACE Rev 2 classification of sectors, the following aggegates of NACE categories are used as proxies:

  • B-N (Business economy) for Private sector
  • P-S (Education; human health and social work activities; arts, entertainment and recreation; other service activities) for Public sector
Specific keywords:
Beijing, BPfA, Economy, Gender pay gap
EA20
EU27_2020
BE
RO
LU
EL
SE
IE
PL
ES
HU
NL
FR
LV
LT
DK
SI
HR
SK
MT
BG
CY
FI
CZ
IT
AT
DE
EE
PT
2022
2022
2022
2022
2022
2022
2022
2022
2022
2018
2018
2018
2018
2018
2018
2018
2018
2018
2014
2014
2014
2014
2014
2014
2014
2014
2014
2010
2010
2010
2010
2010
2010
2010
2010
2010
2006
2006
2006
2006
2006
2006
2006
2006
2006
2002
2002
2002
2002
2002
2002
2002
2002
2002
TOTAL_TOT
FT_TOT
PT_TOT
TOTAL_PRIV
FT_PRIV
PT_PRIV
TOTAL_PUB
FT_PUB
PT_PUB
TOTAL_TOT
FT_TOT
PT_TOT
TOTAL_PRIV
FT_PRIV
PT_PRIV
TOTAL_PUB
FT_PUB
PT_PUB
TOTAL_TOT
FT_TOT
PT_TOT
TOTAL_PRIV
FT_PRIV
PT_PRIV
TOTAL_PUB
FT_PUB
PT_PUB
TOTAL_TOT
FT_TOT
PT_TOT
TOTAL_PRIV
FT_PRIV
PT_PRIV
TOTAL_PUB
FT_PUB
PT_PUB
TOTAL_TOT
FT_TOT
PT_TOT
TOTAL_PRIV
FT_PRIV
PT_PRIV
TOTAL_PUB
FT_PUB
PT_PUB
TOTAL_TOT
FT_TOT
PT_TOT
TOTAL_PRIV
FT_PRIV
PT_PRIV
TOTAL_PUB
FT_PUB
PT_PUB
EA20
27.46
19.95
-5.23
EU27_2020
26.35
21.37
-6.51
21.14
25.41
7.2
23.54
25.78
11.97
19.78
26.79
5.19
21.17
25.05
13.7
24.18
26.36
18.82
21.34
27.08
11.03
26.91
BE
14.9
0.61
12.81
9.99
4.81
0.54
11.2
5.04
-0.43
3.22
-0.23
2.27
9.01
6.77
4.04
10
9.07
8.03
14.84
13.55
11.21
12.23
RO
2.65
3
-10.09
3.18
3.16
0.34
9.93
9.95
5.49
3.31
3.73
-3.55
5.95
6.28
3.41
9.04
8.49
9.73
9.46
14.2
9.68
17.27
20.49
12.41
LU
14.74
3.75
9.51
7.12
6.41
22.3
15.25
12.85
31
7.67
7.66
17.86
6.34
10.81
10.79
12.74
14.26
15.4
14.03
15.61
17.09
17.11
EL
20.9
17.74
-17.03
-28.83
13.73
-210.97
-49.09
13.21
-243.24
9.59
9.53
11.77
15.94
16.35
11.11
17.9
19.54
14.79
32.27
32.66
32.09
27.95
SE
21.2
10.61
-1.75
11.84
13.05
15.44
6.86
8.35
12.54
10.33
10.99
12.6
14.01
8.35
12.83
16.53
12.14
15.16
19.92
18.19
17.51
21.2
21.2
IE
23.49
15.33
-37.3
18.69
16.98
-1.96
23.45
21.09
0.09
14.32
11.24
15.9
16.07
18.88
18.98
20.05
24.83
18.87
23.16
28.39
22.31
16.75
23.48
15.77
PL
17.59
14.97
17.9
17.35
17.13
16.3
17.38
17.05
19.37
11.99
13.45
6.63
16.62
17.45
16.43
16.08
17.63
16.08
20.48
19.92
21.24
18.26
15.9
19.31
ES
17.04
6.86
5.13
16.99
11.65
27.28
20.42
14.36
28.65
16.98
13.83
26
13.28
13.74
14.85
13.82
16.7
15.26
18.28
20.54
20.92
20.95
23.02
20.56
HU
22.9
19.82
3.63
18.06
18.1
0.57
16.92
16.12
-2.38
14.01
14.39
12.23
17.63
16.92
13.98
19.24
16.9
16.37
15.36
17.36
10.83
19.32
16.95
18.03
NL
36.04
10.63
3.97
20.36
14.98
6.71
27.28
16.26
14.26
18.29
15.48
15.53
23.42
19.02
15.05
28.58
19.29
21.16
21.74
20.4
19.16
20.95
20.76
25.31
23.63
23.09
25.01
22.06
23.92
24.71
FR
19.87
13.57
21.99
20.29
18.32
26.62
15.88
14.31
20.39
20.52
16.47
32.62
17.31
12.99
17.61
17.14
14.03
16.09
17.67
15.81
19.58
18.94
LV
22.4
22.57
13.84
21.69
23.35
18.59
20.02
18.92
25.14
16.63
16.59
10.38
22.04
17.94
11.62
23.01
19.91
12.61
20.33
21.84
10.05
20.32
LT
11.88
13.47
3.82
16.18
18.1
4.17
17.26
17.23
13.69
12.9
16.89
0.58
20.06
19.87
14.94
18.96
22.08
14.76
22.59
23.41
15.06
21.4
19.34
13.15
DK
23.13
19.2
15.29
19.01
20.51
5.42
18.52
15.88
8.82
14.86
16.98
3.26
21.4
18.22
18.01
22.78
20.1
20.27
22.84
20.03
22.04
20.19
SI
12.58
9.45
9.86
11.09
11.09
-15.38
11.6
11.6
16.99
16.99
-15.38
8.53
8.09
19.41
5.65
8.57
17.98
7.27
12.49
16.48
7.1
12.68
24.27
HR
9.05
8.93
27.01
12.56
12.14
27.17
13.49
13.11
33.62
17.58
17.64
16.6
8.37
7.79
18.84
6.05
8.83
17.71
SK
23.27
19.34
9.97
23.05
22.89
21.72
22.82
22.42
18.87
20.37
17.94
32.16
22.52
22.36
16.25
22.33
21.78
16.18
26.68
25.78
16.35
25.19
25.37
11.83
MT
10.95
8
-12.47
15.55
15.93
8.29
17.14
17.82
6.45
18.1
18.73
14.6
16.31
17.6
19.89
13.43
15.34
10.33
12.15
15.86
6.9
14.35
BG
15.75
15.82
-16
16.28
16.59
1.26
15.28
15.47
-2.04
19.54
19.41
21.17
16.74
16.45
18.94
15.48
15.67
15.59
15.06
15.68
13.23
19.63
20.1
16.7
CY
15.88
17.41
21.73
15.59
15.75
2.99
20.23
19.91
9.85
17.46
19.65
-12.54
18.78
24.39
21.12
20.31
26.45
21.17
24.36
32.51
13.25
32.48
FI
26.44
21.2
3.65
21.99
21.4
14.63
20.73
17.8
18.62
20.17
20.82
14.52
22.28
19.1
23.41
23.14
20.55
24.16
24.94
22.13
25.75
19.72
CZ
24.85
20.68
5.12
23.17
23.03
23.4
24.68
24.6
15.78
22.58
21.11
30.44
25.08
25.65
23.77
23.57
25.53
22.06
25.67
26.93
19.4
25.52
26.21
19.44
IT
20.84
12.61
-9.29
17.77
15.55
-4.39
16.18
11.37
-5.5
20.79
21.22
-1.68
16.62
13.51
24.72
12.52
12.65
23
7.41
15.59
15.06
17.69
AT
36.27
19.19
8.43
24.24
21.9
26.58
25.13
22.17
28.72
22.93
23.06
21.46
23.27
23.73
24.32
24.06
24.19
27.24
26.58
26.65
31.74
27.06
DE
34.79
19.68
-18.94
22.38
19.57
1.36
25
18.87
6.24
19.18
24.34
0.36
21.36
20.64
25.74
21.87
22.06
25.68
23.49
23.69
25.81
23.6
EE
28.45
23.71
9.21
23.55
25.15
11.17
25.06
24.79
17.25
20.99
24.68
9.19
30.92
28.91
30.14
30.43
29.86
30.9
31.07
29.79
28.92
27.33
PT
14.11
11.48
9.86
14.49
14.19
13.66
19.27
17.64
9.62
27.79
28.63
5.55
16.62
22.21
20.7
16.43
23.15
26.3
12.75
22.56
24.49
22.26

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