EIGE

F8f. Gender pay gap based on gross monthly male and female wages, full-time and part-time bpfa_f_offic_f8__bpfa_f8e_f__f

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
29.577995478523
29.679802955665
31.0874200426439
EU27_2020
26.646593902898
19.3385947679211
27.9844290657439
21.3381555153707
EA19
28.5665294924554
30.5376344086021
29.4642857142857
EA18
28.5178875638842
30.4409672830725
29.2598303777949
30.3370786516854
EA17
28.4453496266124
BE
9.66279399263247
21.610039791858
22.8552717747217
24.1899852724595
BG
14.0888208269525
15.3846153846154
13.7640449438202
13.1067961165049
19.496855345912
CZ
20.7380073800738
24.1176470588235
22.7626459143969
25.653798256538
24.3856332703214
DK
17.5467099918765
21.4079769341663
21.6077953714982
23.6728837876614
DE
20.1244252096294
36.9798234552333
36.1638361638362
36.6746493328772
EE
26.984126984127
32.7095199349064
31.6789862724393
33.7856173677069
IE
15.7869012707722
25.8944658944659
25.5635110050385
30.3364737550471
29.647910496874
EL
16.9042769857434
17.4863387978142
20.2695697252462
24.8713550600343
ES
14.3704379562044
22.7582846003899
22.5643614336194
25.5331088664422
27.6323797930615
FR
18.4334696445423
22.6945491943778
22.9709605361132
23.8749046529367
HR
11.8305355715428
10.5601469237833
7.57874015748032
IT
15.971966064183
23.7164750957854
19.9916701374427
22.864768683274
CY
15.6929019797199
19.1959798994975
21.7489805165383
25.5690072639225
LV
20.554272517321
20.1024327784891
19.2546583850932
18.8796680497925
LT
15.0997150997151
18.9606741573034
17.5559380378657
22.7544910179641
20.2380952380952
LU
3.53642948444823
18.9540937056318
21.5380549682875
23.9564961787184
HU
16.0037002775208
17.8486997635934
19.8265179677819
17.0180722891566
20.5179282868526
MT
19.5570216776626
18.9411764705882
20.2006688963211
16.9517884914463
NL
19.1865605658709
22.6579533764999
41.3370668533427
41.6736753574432
42.0653907496013
AT
22.3734832790767
37.7198917456022
37.7218934911243
40.0317082837891
PL
16.8885191347754
19.3486590038314
17.4566473988439
21.1404728789986
18.2108626198083
PT
11.2973760932945
18.12734082397
16.9024571854058
12.7272727272727
RO
2.80082987551867
5.52380952380952
9.48275862068965
8.40579710144928
16.1137440758294
SI
11.3924050632911
9.373097991479
5.1792828685259
9.11270983213429
8.82352941176471
SK
21.1093990755008
22.0255653883972
21.6981132075472
27.7128547579299
28.498727735369
FI
18.0693734874966
22.3011363636364
24.0831295843521
25.114476928496
SE
13.1086142322097
22.3868534482759
24.8526217809494
26.9824922760041
24.0629685157421
IS
15.8786965530232
28.8493241015496
28.5351397121084
33.6827195467422
NO
15.7515576323988
27.7241379310345
30.0685812258894
29.0466732869911
CH
36.0226257814826
37.4632232755803
37.4444893015745
UK
22.6815338591243
34.5971563981043
36.9366427171783
38.7465181058496
41.7232221894364
ME
9.5364238410596
MK
16.6139240506329
9.765625
6.13496932515337
AL
8.87290167865707
RS
10.3186646433991
10.5527638190955
TR
6.78925035360679
1.45695364238411
-0.265957446808511
1.47299509001637

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