[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).
[DLAND] Länder
[01] Schleswig-Holstein
[02] Hamburg
[03] Niedersachsen
[04] Bremen
[05] Nordrhein-Westfalen
[06] Hessen
[07] Rheinland-Pfalz
[08] Baden-Württemberg
[09] Bayern
[10] Saarland
[11] Berlin
[12] Brandenburg
[13] Mecklenburg-Vorpommern
[14] Sachsen
[15] Sachsen-Anhalt
[16] Thüringen
[GES] Sex
[GESM] Male
[GESW] Female
[OEFHD1] Influence of the public authorities
[EINFLUSS-01] Dominant influence
[EINFLUSS-02] No or limited influence
[ind] Indicator
[VST007] Gross hourly earnings
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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
Series code | 2014 | 2018 |
---|---|---|
[01.GESM.EINFLUSS-01.VST007] | 22.31 | 23.4 |
[01.GESM.EINFLUSS-02.VST007] | 17.21 | 18.83 |
[01.GESW.EINFLUSS-01.VST007] | 19.22 | 21.54 |
[01.GESW.EINFLUSS-02.VST007] | 13.82 | 15.73 |
[02.GESM.EINFLUSS-01.VST007] | 21.24 | 24.88 |
[02.GESM.EINFLUSS-02.VST007] | 22.73 | 24.4 |
[02.GESW.EINFLUSS-01.VST007] | 20.1 | 22.02 |
[02.GESW.EINFLUSS-02.VST007] | 17.18 | 18.92 |
[03.GESM.EINFLUSS-01.VST007] | 21.51 | 23.51 |
[03.GESM.EINFLUSS-02.VST007] | 18.39 | 20.42 |
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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
Series code | 2014 | 2018 |
---|---|---|
[01.GESM.EINFLUSS-01.VST007] | 22.31 | 23.4 |
[01.GESM.EINFLUSS-02.VST007] | 17.21 | 18.83 |
[01.GESW.EINFLUSS-01.VST007] | 19.22 | 21.54 |
[01.GESW.EINFLUSS-02.VST007] | 13.82 | 15.73 |
[02.GESM.EINFLUSS-01.VST007] | 21.24 | 24.88 |
[02.GESM.EINFLUSS-02.VST007] | 22.73 | 24.4 |
[02.GESW.EINFLUSS-01.VST007] | 20.1 | 22.02 |
[02.GESW.EINFLUSS-02.VST007] | 17.18 | 18.92 |
[03.GESM.EINFLUSS-01.VST007] | 21.51 | 23.51 |
[03.GESM.EINFLUSS-02.VST007] | 18.39 | 20.42 |
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