EIGE

F8e. Gender pay gap based on gross monthly male and female wages, full-time bpfa_f_offic_f8__bpfa_f8e_f__e

Time format:
Years
Unit:
Percentage of male wages (comparable)
Keywords:
Beijing, beijing platform for action, BPfA, earnings, Economy, employee, employees, gender gap, Gender pay gap, pay gap, wage, wage-earners, wages
Specific keywords:
Beijing, BPfA, Economy, Gender pay gap
EU28
EU27_2020
EA19
EA18
EA17
BE
BG
CZ
DK
DE
EE
IE
EL
ES
FR
HR
IT
CY
LV
LT
LU
HU
MT
NL
AT
PL
PT
RO
SI
SK
FI
SE
IS
NO
CH
UK
ME
MK
AL
RS
TR
2018
2014
2010
2006
2002
EU28
22.5165562913907
23.0798919336164
25
EU27_2020
21.7527932960894
23.1891305233603
23.2062320623206
25.7727272727273
EA19
20.2816901408451
21.2856674319449
21.0276967930029
EA18
19.9564811936587
20.80078125
20.5211726384365
22.4603174603175
EA17
19.7335811648079
BE
5.06950122649223
7.48834498834499
8.48200312989045
12.0070422535211
BG
14.4578313253012
14.6808510638298
14.2857142857143
13.6150234741784
19.2546583850932
CZ
20.5600589535741
23.136495643756
21.360153256705
23.4932349323493
22.2014925373134
DK
19.2536506219578
20.464135021097
21.515397082658
21.6771387143548
DE
17.438900203666
19.9224161817678
20.9662716499544
22.4502886465683
EE
23.9974937343358
29.8461538461538
28.8442211055276
31.0880829015544
IE
14.788896664334
15.9269533055941
18.2189334013779
21.2457999483071
18.5302502375673
EL
14.8689823278489
13.8443935926773
17.1270718232044
22.6488592097941
ES
9.23352756611385
12.2006326253954
13.1967603620772
17.0546832701678
19.7619047619048
FR
16.8925307280177
16.0091294424519
15.7315340909091
16.7899408284024
HR
11.4217252396166
8.71934604904632
6.47693817468106
IT
13.3785230110596
14.8229280759401
11.4482200647249
16.1572052401747
CY
16.1413562559694
17.0254403131115
20.7815275310835
24.8801534036433
LV
23.2129131437356
21.5367965367965
19.4407456724368
17.4509803921569
LT
16.6981132075472
17.7377892030848
16.40625
21.6014897579143
19.5121951219512
LU
3.12566902162278
9.23253150057274
13.0434782608696
14.1534008683068
HU
15.9564823209429
17.2612197928654
19.2539109506619
16.5932452276065
20.0787401574803
MT
16.4205039096438
16.3072067332983
13.8057422113622
12.3088128186453
NL
14.1102691403188
18.7054557008486
20.7502930832356
21.4111922141119
21.9494841693348
AT
20.9962351578338
22.5281602002503
22.972972972973
25.9969902182092
PL
16.6253101736973
17.3791821561338
15.6004489337823
19.0666666666667
18.2108626198083
PT
10.9090909090909
15.1205259313367
13.7354651162791
11.4215283483977
RO
2.68872802481903
4.82374768089054
9.11016949152542
8.33333333333333
16.0377358490566
SI
10.6534870950027
8.03140096618357
4.43121693121693
8.53950518754988
8.26996197718631
SK
20.8110175975516
20.0768491834774
19.8614318706697
25.9016393442623
25.5639097744361
FI
17.4828857293312
18.6626473006303
20.2826022961437
21.3724820757938
SE
11.0182767624021
12.2727272727273
14.4480046606467
15.2272727272727
14.0173410404624
IS
15.8821415738412
18.4560044272274
19.1214470284238
23.7179487179487
NO
13.8137593029588
13.4716848399578
15.1004784688995
14.7510896994724
CH
18.7193460490463
18.3090115841733
20
UK
19.3394980184941
20.2910266774454
22.2419402543626
23.8851870835469
25.0959956116292
ME
9.22266139657444
MK
16.6405023547881
9.44123314065511
5.87044534412955
AL
8.87290167865707
RS
10.4387291981846
10.1328903654485
TR
6.91114245416079
1.18110236220472
-0.661375661375661
1.47058823529412

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