F11b. Pay gap according to age group based on hourly wages of female and male workers, full-time and part-time workers bpfa_f_hist__bpfa_f11b

Time format:
Years
Unit:
Percentage of male wages (comparable)
Unit:
EUR (comparable)
Specific keywords:
Beijing, BPfA, Economy, Gender pay gap
IE
Y15-19
IE
Y20-24
IE
Y25-54
IE
Y55-64
IE
Y_GE65
ES
Y15-19
ES
Y20-24
ES
Y25-54
ES
Y55-64
ES
Y_GE65
FR
Y15-19
FR
Y20-24
FR
Y25-54
FR
Y55-64
FR
Y_GE65
IT
Y15-19
IT
Y20-24
IT
Y25-54
IT
Y55-64
IT
Y_GE65
CY
Y15-19
CY
Y20-24
CY
Y25-54
CY
Y55-64
CY
Y_GE65
LV
Y15-19
LV
Y20-24
LV
Y25-54
LV
Y55-64
LV
Y_GE65
LT
Y15-19
LT
Y20-24
LT
Y25-54
LT
Y55-64
LT
Y_GE65
LU
Y15-19
LU
Y20-24
LU
Y25-54
LU
Y55-64
LU
Y_GE65
HU
Y15-19
HU
Y20-24
HU
Y25-54
HU
Y55-64
HU
Y_GE65
PL
Y15-19
PL
Y20-24
PL
Y25-54
PL
Y55-64
PL
Y_GE65
PT
Y15-19
PT
Y20-24
PT
Y25-54
PT
Y55-64
PT
Y_GE65
RO
Y15-19
RO
Y20-24
RO
Y25-54
RO
Y55-64
RO
Y_GE65
SI
Y15-19
SI
Y20-24
SI
Y25-54
SI
Y55-64
SI
Y_GE65
SK
Y15-19
SK
Y20-24
SK
Y25-54
SK
Y55-64
SK
Y_GE65
SE
Y15-19
SE
Y20-24
SE
Y25-54
SE
Y55-64
SE
Y_GE65
2006
IE
Y15-19
10
IE
Y20-24
1
IE
Y25-54
14
IE
Y55-64
31
IE
Y_GE65
37
ES
Y15-19
7
ES
Y20-24
8
ES
Y25-54
16
ES
Y55-64
25
ES
Y_GE65
40
FR
Y15-19
-34
FR
Y20-24
2
FR
Y25-54
14
FR
Y55-64
28
FR
Y_GE65
47
IT
Y15-19
2
IT
Y20-24
3
IT
Y25-54
4
IT
Y55-64
3
IT
Y_GE65
16
CY
Y15-19
22
CY
Y20-24
20
CY
Y25-54
20
CY
Y55-64
30
CY
Y_GE65
35
LV
Y15-19
15
LV
Y20-24
13
LV
Y25-54
15
LV
Y55-64
14
LV
Y_GE65
10
LT
Y15-19
13
LT
Y20-24
15
LT
Y25-54
17
LT
Y55-64
16
LT
Y_GE65
14
LU
Y15-19
10
LU
Y20-24
-5
LU
Y25-54
9
LU
Y55-64
24
LU
Y_GE65
38
HU
Y15-19
-2
HU
Y20-24
-2
HU
Y25-54
14
HU
Y55-64
16
HU
Y_GE65
15
PL
Y15-19
10
PL
Y20-24
8
PL
Y25-54
8
PL
Y55-64
3
PL
Y_GE65
22
PT
Y15-19
-4
PT
Y20-24
-3
PT
Y25-54
9
PT
Y55-64
3
PT
Y_GE65
48
RO
Y15-19
7
RO
Y20-24
0
RO
Y25-54
8
RO
Y55-64
-7
RO
Y_GE65
5
SI
Y15-19
-5
SI
Y20-24
1
SI
Y25-54
7
SI
Y55-64
-9
SI
Y_GE65
-8
SK
Y15-19
13
SK
Y20-24
11
SK
Y25-54
28
SK
Y55-64
19
SK
Y_GE65
24
SE
Y15-19
2
SE
Y20-24
6
SE
Y25-54
17
SE
Y55-64
19
SE
Y_GE65
18

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