Gender pay gap in unadjusted form ta_livcond_inc_earn_gpg__tesem180

Time format:
Years
Unit:
% of men's gross hourly earnings (comparable)
Description:
The unadjusted Gender Pay Gap (GPG) represents the difference between average gross hourly earnings of male paid employees and of female paid employees as a percentage of average gross hourly earnings of male paid employees. The population consists of all paid employees in enterprises with 10 employees or more in NACE Rev. 2 aggregate B to S (excluding O) - before reference year 2008: NACE Rev. 1.1 aggregate C to O (excluding L). The GPG indicator is calculated within the framework of the data collected according to the methodology of the Structure of Earnings Survey (EC Regulation: 530/1999). It replaces data which was based on non-harmonised sources. For further information please consult the detailed explanatory texts (metadata).
EE
CZ
DE
AT
UK
SK
FI
CH
LV
NL
EA19
IS
DK
EU27_2020
FR
HU
PT
ES
NO
BG
CY
IE
SE
LT
EL
MT
MK
HR
RS
ME
PL
SI
BE
IT
LU
RO
TR
AL
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
2009
2008
2007
EE
21.3(p)
20.5
21.1(p)
21.7(p)
21.8
24.9
24.8
26.7
28.1
29.8
29.9
27.3
27.7
26.6
27.6
30.9
CZ
17.9(dp)
15(d)
16.4(d)
19.2(d)
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
DE
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
18.4(p)
18.8(p)
18.9(p)
19.9(p)
20.4
20.7
20.8
21.8
22.2
22.3
22.9
23.5
24
24.3
25.1
25.5
UK
19.8
20.8
20.7
21
20.9
21
22.6
21.8
23.3(b)
20.6
21.4
20.8
SK
17.7
16.6
15.8
18.4
19.8
20.1
19.2
19.7
19.7
18.8
20.8
20.1
19.6
21.9
20.9
23.6
FI
15.5(p)
16.5
16.7
16.6
16.9
17.1
17.5
17.5
18.4
18.8
19.2
19.1
20.3
20.8
20.5
20.2
CH
17.9(p)
17.7(p)
18.4(p)
18.6(p)
18.6
17.6
17.4
17.9
17.4
17.6
17.4
17.6
17.8
18.4(d)
18.4(d)
LV
17.1(p)
14.6(p)
22.3(p)
21.2(p)
19.6
19.8
19.7
18.4
17.3
16
14.9
14.1
15.5
13.1
11.8
13.6
NL
13(p)
13.5(p)
14.2(p)
14.6(p)
14.7
15.1
15.6
16.1
17
17.2
18
18.8
17.8
18.5
18.9
19.3
EA19
13.2(p)
13.4(p)
14(p)
14.6(p)
15.3
15.7
16.2
16.5
16.8
17.1
17.6
17.3
17
IS
9.3
10.4
12.2
14.2(p)
13.8
15.3
15.8
17.5
16.7
19
17.7
17.8
17.7
18
20.7
24
DK
13.9
14.2
13.9
14
14.6
14.8
15.1
15.1
16
16.5
16.8
16.4
17.1
16.8
17.1
17.7
EU27_2020
12.7(p)
12.7(p)
12.9(p)
13.7(p)
14.4
14.6
15.1
15.5
15.7
16
16.4
16.2
15.8
FR
13.9(p)
14.7(p)
15.6(p)
16.2(p)
16.7
16.3
15.9
15.6
15.5
15.5
15.6
15.7
15.6
15.2
16.9
17.3
HU
17.5
17.3
17.2
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
PT
12.5(p)
11.8(p)
11.4(p)
10.9(p)
8.9
10.8
13.9
16
14.9
13.3
15
12.9
12.8
10
9.2
8.5
ES
8.7(p)
8.7
8.9
9.4
11.9
13.5
14.8
14.1
14.9
17.8
18.7
17.6
16.2
16.7
16.1
18.1
NO
14.4(dp)
14.3(dp)
13.4(dp)
13.2(dp)
13.2
13.7
14.5
16
14.5
15.5
14.7
15.7
16.1
16.5
17
15.6
BG
13(p)
12.2(p)
12.7(p)
14.1(p)
13.9
14.3
14.6
15.5
14.2
14.1
15.1
13.2
13
13.3
12.3
12.1
CY
10.2(p)
10.2(p)
10.1(p)
10.1(p)
10.4
11.2
12.3
13.2
14.2
14.9
15.6
16.1
16.8
17.8
19.5
22
IE
9.3
11.3(p)
9.9(p)
10.8(p)
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
SE
11.1
11.2
11.2
11.8
12.1
12.5
13.3
14
13.8
14.6
15.5
15.6
15.4
15.7
16.9
17.8
LT
12(p)
12(p)
13(p)
13.3(p)
14
15.2
14.4
14.2
13.3
12.2
11.9
11.5
11.9(b)
15.3
21.6
22.6
EL
10.4
12.5
15
22(d)
21.5
MT
10.2
10.5
10
11.6(p)
13
13.2
11.6
10.7
10.6
9.7
9.5
7.7
7.2
7.7
9.2
7.8
MK
9.1
HR
12.5(p)
11.1(p)
11.2(p)
11.5(p)
11.4
12.3
11.6
8.7
7.7
5.7
RS
9.6
8.7
ME
7.7
PL
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
8.2(p)
3.8(p)
3.1(p)
7.9(p)
9.3
8.4
8.1
8.2
7
6.3
4.5
3.3
0.9
-0.9
4.1
5
BE
5(p)
5(p)
5.3(p)
5.8(p)
5.8
5.8
6
6.4
6.6
7.5
8.3
9.4
10.2
10.1
10.2
10.1
IT
4.3(p)
5(p)
4.2(p)
4.7(p)
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
LU
-0.7(p)
-0.2(p)
0.7(p)
1.3(p)
1.4
2.6
3.9
4.7
5.4
6.2
7
7.9
8.7
9.2
9.7
10.2
RO
4.5(e)
3.6(e)
2.4(e)
3.3(e)
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)
TR
-1.3
AL
6.8

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