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[62111L4012] Structure of earnings survey, Gross hourly earnings, Gender pay gap, Länder, Influence of the public authorities, Year

Updated by provider on December 8, 2020 (8:03 AM).

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Länder [DLAND] (16)
Influence of the public authorities [OEFHD1] (2)
Indicator [ind] (2)

This dataset has 64 series:

[08.EINFLUSS-02.VST007] Baden-Württemberg – No or limited influence – Gross hourly earnings

min:
18.79
max:
20.81
avg:
19.8
σ:
1.01

[08.EINFLUSS-02.VST100] Baden-Württemberg – No or limited influence – Gender pay gap

min:
26
max:
30
avg:
28
σ:
2

[09.EINFLUSS-01.VST007] Bayern – Dominant influence – Gross hourly earnings

min:
20.67
max:
22.91
avg:
21.79
σ:
1.12

[09.EINFLUSS-01.VST100] Bayern – Dominant influence – Gender pay gap

min:
16
max:
17
avg:
16.5
σ:
0.5

[09.EINFLUSS-02.VST007] Bayern – No or limited influence – Gross hourly earnings

min:
18.37
max:
20.53
avg:
19.45
σ:
1.08

[09.EINFLUSS-02.VST100] Bayern – No or limited influence – Gender pay gap

min:
26
max:
27
avg:
26.5
σ:
0.5

[10.EINFLUSS-01.VST007] Saarland – Dominant influence – Gross hourly earnings

min:
19.18
max:
21.6
avg:
20.39
σ:
1.21

[10.EINFLUSS-01.VST100] Saarland – Dominant influence – Gender pay gap

min:
6
max:
13
avg:
9.5
σ:
3.5

[10.EINFLUSS-02.VST007] Saarland – No or limited influence – Gross hourly earnings

min:
17.13
max:
18.48
avg:
17.805
σ:
0.675

[10.EINFLUSS-02.VST100] Saarland – No or limited influence – Gender pay gap

min:
26
max:
27
avg:
26.5
σ:
0.5