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
IT
LU
EL
SI
DE
CY
ES
EU27_2020
HU
EA21
DK
BG
AT
CZ
PL
HR
BE
SE
NL
FR
IE
SK
FI
PT
LT
LV
EE
2025
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
2009
2008
2007
MT
42.75
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
44.17
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
IT
45.24
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
LU
46.98
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
EL
47.46
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
SI
48.21
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
DE
48.26
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
CY
48.34
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
ES
48.36
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
EU27_2020
48.5
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
HU
48.58
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
EA21
48.59
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
46.59
46.29
DK
48.72
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
BG
48.74
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
48.83
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
CZ
48.91
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
PL
49.12
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
49.37
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
45.55
46.01
46.42
45.44
45.25
BE
49.46
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
SE
49.54
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
NL
49.65
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
FR
50.16
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
50.16
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
SK
50.45
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
FI
50.73
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
PT
51
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
LT
51.14
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
LV
51.81
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
EE
52.04
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

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