EIGE

F8a. Gender pay gap based on gross hourly male and female wages, full-time and part-time employees of all sectors bpfa_f__earn_gr_gpgr2

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

The gender pay gap measures the difference between the average gross earnings of men and the average gross earnings of women in relation to the average gross wages of men, in all cases taking into account both full- and part-time workers. It is calculated using data from Eurostat's Structure of Earnings survey, which is carried out every four years, complemented with national estimates based on national sources for the intervening years.

The indicator covers all major sectors of the economy (industry, construction, and services) apart from the area of public administration and defence, and compulsory social security, for which data are incomplete for a number of countries.

Specific keywords:
Beijing, BPfA, Economy, Gender pay gap
EL
LU
RO
IT
BE
PL
SI
PT
CY
HR
SE
MT
ES
BG
IE
EU27_2020
DK
NL
LT
EA20
HU
FR
FI
LV
SK
DE
AT
CZ
EE
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
2009
2008
2007
EL
13.6(p)
13.5
10.4
12.5
15
22(d)
21.5
LU
-0.9(p)
-0.7
-0.2
0.3
0.9
1.4
2.6
3.9
4.7
5.4
6.2
7
7.9
8.7
9.2
9.7
10.2
RO
3.8(p)
1.5
1.4
0.9
2.6
2.2
2.9(e)
4.8(e)
5.6(e)
4.5
4.9
6.9
9.6
8.8
7.4(d)
8.5(d)
12.5(d)
IT
2.2(p)
3.8
4.7
4
4.6
5.5
5(p)
5.3(p)
5.5(p)
6.1
7
6.5
5.7
5.3
5.5
4.9
5.1
BE
0.7(p)
0.7
1.8
3.2
4.7
5.8
5.8
6
6.4
6.6
7.5
8.3
9.4
10.2
10.1
10.2
10.1
PL
7.8(p)
7.8
6.2
4.5
6.5
8.5
7
7.1
7.3
7.7
7.1
6.4
5.5
4.5
8
11.4
14.9
SI
5.4(bp)
6.8
2.7
2.4
7.5
9.3
8.4
8.1
8.2
7
6.3
4.5
3.3
0.9
-0.9
4.1
5
PT
8.6(p)
6.3
7.1
8.3
9.4
8.9
10.8
13.9
16
14.9
13.3
15
12.9
12.8
10
9.2
8.5
CY
12.2(p)
11.9
11
9.9
10.5
10.4
11.2
12.3
13.2
14.2
14.9
15.6
16.1
16.8
17.8
19.5
22
HR
7.4(p)
7.7
7.3
8.7
10.2
11.4
12.3
11.6
8.7
7.7
5.7
SE
11.2(p)
10.4
10.3
10.5
11.1
12.1
12.5
13.3
14
13.8
14.6
15.5
15.6
15.4
15.7
16.9
17.8
MT
5.1(p)
5.8
7.2
7.9
10.5
13
13.2
11.6
10.7
10.6
9.7
9.5
7.7
7.2
7.7
9.2
7.8
ES
9.2(p)
9.2
9.3
9.3
9.6
11.9
13.5
14.8
14.1
14.9
17.8
18.7
17.6
16.2
16.7
16.1
18.1
BG
13.5(p)
12.6
11.9
12.5
14
13.9
14.3
14.6
15.5
14.2
14.1
15.1
13.2
13
13.3
12.3
12.1
IE
8.6(p)
9.3
9.9
9
10.3
11.3
14.4(p)
14.2(p)
13.9(p)
13.9
12.9
12.2
12.7
13.9
12.6
12.6
17.3
EU27_2020
12(p)
12.2
12.3
12.7
13.7
14.4
14.6
15.1
15.5
15.7
16
16.4
16.2
15.8
DK
14(p)
13.8
14.2
13.8
17.7
14.6
14.8
15.1
15.1
16
16.5
16.8
16.4
17.1
16.8
17.1
17.7
NL
12.5(p)
14
14.3
14.7
14.9
14.7
15.1
15.6
16.1
17
17.2
18
18.8
17.8
18.5
18.9
19.3
LT
11.5(p)
10.5
10.9
12.3
12.9
14
15.2
14.4
14.2
13.3
12.2
11.9
11.5
11.9(b)
15.3
21.6
22.6
EA20
12.3(p)
12.7
13
13.7
14.4
15.3
15.6
16.2
16.4
16.8
17
17.4
17.2
16.9
HU
17.8(p)
17.5(p)
17.2(p)
17.1(p)
18.2(b)
14.2
15.9(b)
14
14
15.1
18.4
20.1
18
17.6
17.1
17.5
16.3
FR
12.2(p)
12.8
13.7
15
16
16.7
16.3
15.9
15.6
15.5
15.5
15.6
15.7
15.6
15.2
16.9
17.3
FI
16.8(p)
16
16.9
16.9
16.7
16.9
17.1
17.5
17.5
18.4
18.8
19.2
19.1
20.3
20.8
20.5
20.2
LV
19(p)
18.9
15.9
23.2
21.6
19.6
19.8
19.7
18.4
17.3
16
14.9
14.1
15.5
13.1
11.8
13.6
SK
15.7(p)
16.8
16
15.4
18.2
19.8
20.1
19.2
19.7
19.7
18.8
20.8
20.1
19.6
21.9
20.9
23.6
DE
17.6(p)
17.7(b)
17.6
18.3
19.2
20.1
20.4
21.1
21.8
22.3
22.1
22.7
22.4
22.3
22.6
22.8
22.8
AT
18.3(p)
18.7
19.1
19.2
20
20.4
20.7
20.8
21.8
22.2
22.3
22.9
23.5
24
24.3
25.1
25.5
CZ
18(dp)
18.4
15.4
16.7
19.3
20.1(d)
21.1(d)
21.5(d)
22.5(d)
22.5
22.3
22.5
22.6
21.6
25.9
26.2
23.6
EE
16.9(p)
21.1
20.3
21
21.6
21.8
24.9
24.8
26.7
28.1
29.8
29.9
27.3
27.7
26.6
27.6
30.9

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