[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).
[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
[EINFLUSS-01] Dominant influence
[EINFLUSS-02] No or limited influence
[VST007] Gross hourly earnings
[VST100] Gender pay gap
Search filters
Länder [DLAND] (16)
Influence of the public authorities [OEFHD1] (2)
Indicator [ind] (2)
This dataset has 64 series:
[01.EINFLUSS-01.VST007] Schleswig-Holstein – Dominant influence – Gross hourly earnings
- from
- 2014=20.5
- to
- 2018=22.31
- min:
- 20.5
- max:
- 22.31
- avg:
- 21.405
- σ:
- 0.905
[01.EINFLUSS-01.VST100] Schleswig-Holstein – Dominant influence – Gender pay gap
- from
- 2014=14
- to
- 2018=8
- min:
- 8
- max:
- 14
- avg:
- 11
- σ:
- 3
[01.EINFLUSS-02.VST007] Schleswig-Holstein – No or limited influence – Gross hourly earnings
- from
- 2014=15.6
- to
- 2018=17.37
- min:
- 15.6
- max:
- 17.37
- avg:
- 16.485
- σ:
- 0.885
[01.EINFLUSS-02.VST100] Schleswig-Holstein – No or limited influence – Gender pay gap
- from
- 2014=20
- to
- 2018=16
- min:
- 16
- max:
- 20
- avg:
- 18
- σ:
- 2
[02.EINFLUSS-01.VST007] Hamburg – Dominant influence – Gross hourly earnings
- from
- 2014=20.62
- to
- 2018=23.38
- min:
- 20.62
- max:
- 23.38
- avg:
- 22
- σ:
- 1.38
[02.EINFLUSS-01.VST100] Hamburg – Dominant influence – Gender pay gap
- from
- 2014=5
- to
- 2018=11
- min:
- 5
- max:
- 11
- avg:
- 8
- σ:
- 3
[02.EINFLUSS-02.VST007] Hamburg – No or limited influence – Gross hourly earnings
- from
- 2014=20.18
- to
- 2018=21.95
- min:
- 20.18
- max:
- 21.95
- avg:
- 21.065
- σ:
- 0.885
[02.EINFLUSS-02.VST100] Hamburg – No or limited influence – Gender pay gap
- from
- 2014=24
- to
- 2018=22
- min:
- 22
- max:
- 24
- avg:
- 23
- σ:
- 1
[03.EINFLUSS-01.VST007] Niedersachsen – Dominant influence – Gross hourly earnings
- from
- 2014=19.66
- to
- 2018=21.71
- min:
- 19.66
- max:
- 21.71
- avg:
- 20.685
- σ:
- 1.025
[03.EINFLUSS-01.VST100] Niedersachsen – Dominant influence – Gender pay gap
- from
- 2014=14
- to
- 2018=12
- min:
- 12
- max:
- 14
- avg:
- 13
- σ:
- 1
Series code | 2014 | 2018 |
---|---|---|
[01.EINFLUSS-01.VST007] | 20.5 | 22.31 |
[01.EINFLUSS-01.VST100] | 14 | 8 |
[01.EINFLUSS-02.VST007] | 15.6 | 17.37 |
[01.EINFLUSS-02.VST100] | 20 | 16 |
[02.EINFLUSS-01.VST007] | 20.62 | 23.38 |
[02.EINFLUSS-01.VST100] | 5 | 11 |
[02.EINFLUSS-02.VST007] | 20.18 | 21.95 |
[02.EINFLUSS-02.VST100] | 24 | 22 |
[03.EINFLUSS-01.VST007] | 19.66 | 21.71 |
[03.EINFLUSS-01.VST100] | 14 | 12 |
Loading chart
Search filters
Länder [DLAND] (16)
Influence of the public authorities [OEFHD1] (2)
Indicator [ind] (2)
This dataset has 64 series:
[01.EINFLUSS-01.VST007] Schleswig-Holstein – Dominant influence – Gross hourly earnings
- from
- 2014=20.5
- to
- 2018=22.31
- min:
- 20.5
- max:
- 22.31
- avg:
- 21.405
- σ:
- 0.905
[01.EINFLUSS-01.VST100] Schleswig-Holstein – Dominant influence – Gender pay gap
- from
- 2014=14
- to
- 2018=8
- min:
- 8
- max:
- 14
- avg:
- 11
- σ:
- 3
[01.EINFLUSS-02.VST007] Schleswig-Holstein – No or limited influence – Gross hourly earnings
- from
- 2014=15.6
- to
- 2018=17.37
- min:
- 15.6
- max:
- 17.37
- avg:
- 16.485
- σ:
- 0.885
[01.EINFLUSS-02.VST100] Schleswig-Holstein – No or limited influence – Gender pay gap
- from
- 2014=20
- to
- 2018=16
- min:
- 16
- max:
- 20
- avg:
- 18
- σ:
- 2
[02.EINFLUSS-01.VST007] Hamburg – Dominant influence – Gross hourly earnings
- from
- 2014=20.62
- to
- 2018=23.38
- min:
- 20.62
- max:
- 23.38
- avg:
- 22
- σ:
- 1.38
[02.EINFLUSS-01.VST100] Hamburg – Dominant influence – Gender pay gap
- from
- 2014=5
- to
- 2018=11
- min:
- 5
- max:
- 11
- avg:
- 8
- σ:
- 3
[02.EINFLUSS-02.VST007] Hamburg – No or limited influence – Gross hourly earnings
- from
- 2014=20.18
- to
- 2018=21.95
- min:
- 20.18
- max:
- 21.95
- avg:
- 21.065
- σ:
- 0.885
[02.EINFLUSS-02.VST100] Hamburg – No or limited influence – Gender pay gap
- from
- 2014=24
- to
- 2018=22
- min:
- 22
- max:
- 24
- avg:
- 23
- σ:
- 1
[03.EINFLUSS-01.VST007] Niedersachsen – Dominant influence – Gross hourly earnings
- from
- 2014=19.66
- to
- 2018=21.71
- min:
- 19.66
- max:
- 21.71
- avg:
- 20.685
- σ:
- 1.025
[03.EINFLUSS-01.VST100] Niedersachsen – Dominant influence – Gender pay gap
- from
- 2014=14
- to
- 2018=12
- min:
- 12
- max:
- 14
- avg:
- 13
- σ:
- 1
Series code | 2014 | 2018 |
---|---|---|
[01.EINFLUSS-01.VST007] | 20.5 | 22.31 |
[01.EINFLUSS-01.VST100] | 14 | 8 |
[01.EINFLUSS-02.VST007] | 15.6 | 17.37 |
[01.EINFLUSS-02.VST100] | 20 | 16 |
[02.EINFLUSS-01.VST007] | 20.62 | 23.38 |
[02.EINFLUSS-01.VST100] | 5 | 11 |
[02.EINFLUSS-02.VST007] | 20.18 | 21.95 |
[02.EINFLUSS-02.VST100] | 24 | 22 |
[03.EINFLUSS-01.VST007] | 19.66 | 21.71 |
[03.EINFLUSS-01.VST100] | 14 | 12 |
Loading chart