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[62111L4022] Structure of earnings survey, Gross hourly earnings, Länder, Sex, Influence of the public authorities, Year

Updated by provider on December 8, 2020 (8:04 AM).

Search filters
Länder [DLAND] (16)
Sex [GES] (2)
Influence of the public authorities [OEFHD1] (2)
Indicator [ind] (1)

This dataset has 64 series:

[01.GESM.EINFLUSS-01.VST007] Schleswig-Holstein – Male – Dominant influence – Gross hourly earnings

from
2014=22.31
to
2018=23.4
min:
22.31
max:
23.4
avg:
22.855
σ:
0.545

[01.GESM.EINFLUSS-02.VST007] Schleswig-Holstein – Male – No or limited influence – Gross hourly earnings

from
2014=17.21
to
2018=18.83
min:
17.21
max:
18.83
avg:
18.02
σ:
0.81

[01.GESW.EINFLUSS-01.VST007] Schleswig-Holstein – Female – Dominant influence – Gross hourly earnings

from
2014=19.22
to
2018=21.54
min:
19.22
max:
21.54
avg:
20.38
σ:
1.16

[01.GESW.EINFLUSS-02.VST007] Schleswig-Holstein – Female – No or limited influence – Gross hourly earnings

from
2014=13.82
to
2018=15.73
min:
13.82
max:
15.73
avg:
14.775
σ:
0.955

[02.GESM.EINFLUSS-01.VST007] Hamburg – Male – Dominant influence – Gross hourly earnings

from
2014=21.24
to
2018=24.88
min:
21.24
max:
24.88
avg:
23.06
σ:
1.82

[02.GESM.EINFLUSS-02.VST007] Hamburg – Male – No or limited influence – Gross hourly earnings

from
2014=22.73
to
2018=24.4
min:
22.73
max:
24.4
avg:
23.565
σ:
0.835

[02.GESW.EINFLUSS-01.VST007] Hamburg – Female – Dominant influence – Gross hourly earnings

from
2014=20.1
to
2018=22.02
min:
20.1
max:
22.02
avg:
21.06
σ:
0.96

[02.GESW.EINFLUSS-02.VST007] Hamburg – Female – No or limited influence – Gross hourly earnings

from
2014=17.18
to
2018=18.92
min:
17.18
max:
18.92
avg:
18.05
σ:
0.87

[03.GESM.EINFLUSS-01.VST007] Niedersachsen – Male – Dominant influence – Gross hourly earnings

from
2014=21.51
to
2018=23.51
min:
21.51
max:
23.51
avg:
22.51
σ:
1

[03.GESM.EINFLUSS-02.VST007] Niedersachsen – Male – No or limited influence – Gross hourly earnings

from
2014=18.39
to
2018=20.42
min:
18.39
max:
20.42
avg:
19.405
σ:
1.015