EIGE

F9b. Repartition of the total number of wage-earners by sex bpfa_f__bpfa_f9b

Time format:
Years
Unit:
Percentage (comparable)
Keywords:
Beijing, beijing platform for action, BPfA, earnings, Economy, employee, employees, Gender pay gap, wage, wage-earners, wages
Specific keywords:
Beijing, BPfA, Economy, Gender pay gap
MT
RO
EL
IT
HU
CZ
LU
PL
HR
SK
ES
SI
EU27_2020
DE
EA21
BE
BG
AT
NL
DK
SE
CY
FR
IE
FI
EE
PT
LV
LT
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
2009
2008
2007
MT
42.75
43
44.67
44.07
43.53
42.71
43.54
43.26
43.29
42.2
42.26
41.72
40.17
38.32
37.87
36.66
36.32
34.94
RO
44.54
44.44
44.27
43.49
43.76
43.88
43.95
44.68
44.11
43.99
43.99
44.05
44.21
44.44
44.54
45.06
45.14
45.64
EL
46.9
46.61
46.03
46.18
45.84
45.45
44.79
45.04
45.01
45.73
45.57
44.57
44.79
44.2
43.71
43.24
42.29
42.08
IT
45.26
45.12
45.09
45.21
45.1
45.34
45.38
45.4
45.1
45.14
45.41
45.52
45.23
44.7
44.35
43.87
43.52
43
HU
48.51
48.27
48.09
47.78
45.87
46.08
46.2
46.37
47
47.21
47.46
47.53
48.05
48.11
48.41
47.8
47.49
47.15
CZ
47.53
46.45
46.49
46.36
46.32
46.7
46.77
46.41
46.09
46.13
46.08
45.67
45.81
45.68
45.6
45.58
45.63
45.92
LU
47.36
46.44
46.8
46.97
47.24
46.28
46.88
46.92
45.86
45.55
45.46
44.51
44.52
43.98
44.05
43.75
42.96
44.52
PL
49.12
49.24
48.51
48.09
47.3
47.1
47.44
47.38
47.21
47.07
46.81
46.48
46.44
46.26
46.41
46.64
46.34
46.44
HR
49.61
49.34
48.78
48.57
48.18
48.13
47.67
47.7
48.38
48.26
47.83
47.89
46.64
45.49
45.97
46.32
45.16
45.04
SK
50.49
50.81
50.45
50.33
48.05
47.91
47.57
47.78
47.2
46.89
47.16
47.44
46.95
47.47
48.07
47.02
46.97
46.58
ES
48.27
48.1
47.78
48.06
47.8
47.78
47.73
47.8
47.75
47.79
48.12
48.3
48
47.13
46.67
46.05
44.61
43.5
SI
47.63
47.87
47.96
47.89
47.23
48
47.81
47.85
48.3
47.09
47.05
47.27
47.82
47.81
47.65
47.77
47.04
46.69
EU27_2020
48.45
48.42
48.3
48.24
47.95
48.01
47.96
47.94
47.97
48.04
48.05
48
47.87
47.64
47.5
47.25
46.62
46.42
DE
48.17
48.11
48.12
48.13
48
48.07
47.99
47.95
48.04
48.27
48.18
48.18
48
48.05
47.89
47.53
46.89
46.82
EA21
48.55
48.54
48.49
48.52
48.27
48.33
48.22
48.18
48.25
48.34
48.37
48.34
48.14
47.87
47.67
47.33
46.58
46.29
BE
49.05
49.27
49.39
49.06
48.9
48.87
48.61
48.19
48.55
48.83
48.49
48.28
47.56
47.46
47.14
46.94
46.47
45.96
BG
48.71
48.5
48.52
48.27
48.2
48.29
48.26
48.19
48.36
48.84
48.96
49.1
49.05
48.77
48.18
48.41
48.23
48.55
AT
48.88
48.56
48.41
48.2
48.46
48.35
48.23
48.46
48.53
48.52
48.63
48.32
48.24
48.07
47.95
47.8
47.15
46.7
NL
49.77
49.58
49.41
49.6
49.14
49.02
48.84
48.62
48.49
48.26
48.27
48.56
48.3
48.11
47.85
47.27
46.81
46.57
DK
48.66
49.16
49.5
49.04
48.9
48.87
48.96
49.03
48.95
48.86
49.05
49.53
49.58
49.49
49.78
49.75
48.8
48.83
SE
49.66
49.48
49.11
49.41
49.42
49.71
49.83
49.8
49.89
49.91
49.92
49.92
49.95
49.7
49.61
49.98
49.7
49.95
CY
49.44
49.7
49.1
49.16
48.86
48.93
49.66
49.82
50.45
50.83
52.33
51.55
51.05
51.09
50.58
50.05
48.81
48.81
FR
50.23
50.51
50.64
50.64
50.27
50.38
50.09
49.85
50.21
50.22
50.11
49.83
49.69
49.55
49.55
49.41
48.89
48.98
IE
50.29
50.36
49.95
49.87
49.14
49.63
49.7
50.03
50.12
50.16
50.52
50.8
51.64
51.51
51.48
51.17
48.77
47.62
FI
51.04
51.19
50.76
50.6
50.38
50.43
50.38
50.46
50.88
51.45
51.44
51.33
51.25
50.93
51.09
51.53
50.42
50.66
EE
52.32
51.46
51.12
51.12
50.52
50.3
50.47
50.71
49.91
50.07
50.36
50.72
51.32
51.22
52.67
52.64
50.38
50.77
PT
51.06
50.99
51.14
51.16
51.22
51.15
51.31
51.13
51.26
51.29
51.31
51.15
50.93
50.25
49.25
48.98
47.81
47.69
LV
51.42
51.71
51.78
51.09
51.2
51.19
51.34
51.71
52.47
52.2
51.85
51.86
52.4
52.9
53.79
53.72
51.26
50.12
LT
50.69
51.51
52.12
50.82
51.7
52.26
51.95
52.76
52.85
52.26
52.02
52.17
52.81
52.87
53.92
53.77
51.24
51.07

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