Regions of Germany (NUTS 2) by compensation of employees per hour worked, 2023

Name: Regions of Germany (NUTS 2) by compensation of employees per hour worked, 2023
License: https://invokely.ai/docs/methodology

Oberbayern had the highest compensation of employees per hour worked of 38 regions in 2023, at €48.58. Mecklenburg-Vorpommern had the lowest, at €33.17. The median was €39.39 and the figure for Germany was €40.7. Source: Eurostat.

Highest48.58Oberbayern

Lowest33.17Mecklenburg-Vorpommern

Median39.3938 regions

Germany40.7History

All regions, 2023

EUR. Source: Invokely calculation with data from Eurostat. Retrieved 2026-10-12.

Full ranking

Rank	Regions	2023 EUR	Change on 2022
1	Oberbayern Estimated	48.58	+6.1%
2	Stuttgart Estimated	46.43	+6.1%
3	Darmstadt Estimated	46.38	+6.8%
4	Hamburg Estimated	46.32	+6.6%
5	Berlin Estimated	43.31	+6.9%
6	Mittelfranken Estimated	43.15	+5.9%
7	Karlsruhe Estimated	43.1	+5.9%
8	Braunschweig Estimated	42.87	+6.4%
9	Köln Estimated	41.99	+5.7%
10	Düsseldorf Estimated	41.97	+5.9%
11	Tübingen Estimated	41.64	+6.1%
12	Kassel Estimated	40.89	+6.7%
13	Bremen Estimated	40.57	+5.7%
14	Rheinhessen-Pfalz Estimated	40.55	+3.8%
15	Gießen Estimated	40.54	+6.2%
16	Unterfranken Estimated	40.48	+6.3%
17	Schwaben Estimated	40.25	+5.9%
18	Oberpfalz Estimated	40.09	+6.1%
19	Freiburg Estimated	39.5	+5.6%
20	Oberfranken Estimated	39.28	+6.5%
21	Niederbayern Estimated	39.12	+6.6%
22	Hannover Estimated	39.1	+6.6%
23	Arnsberg Estimated	38.52	+6.1%
24	Saarland Estimated	38.48	+6.6%
25	Detmold Estimated	37.82	+6.2%
26	Münster Estimated	37.5	+6%
27	Koblenz Estimated	36.96	+6.1%
28	Leipzig Estimated	36.33	+7%
29	Schleswig-Holstein Estimated	35.9	+6.3%
30	Trier Estimated	35.88	+6.1%
31	Dresden Estimated	35.39	+6.9%
32	Weser-Ems Estimated	35	+6.2%
33	Lüneburg Estimated	34.72	+5.9%
34	Brandenburg Estimated	34.64	+7.3%
35	Thüringen Estimated	33.93	+7%
36	Sachsen-Anhalt Estimated	33.34	+7.1%
37	Chemnitz Estimated	33.32	+7.1%
38	Mecklenburg-Vorpommern Estimated	33.17	+7.8%

Other periods

About this ranking

Wages, salaries and employers' social contributions divided by the hours actually worked by employees, in euros per hour, for the place where people work (Eurostat regional accounts).

A labour cost measure, higher than take-home pay because it includes employers' social contributions. Price levels differ between countries.

Every value in the ranking comes from the same publisher and the same period, so the regions are compared on one definition. Equal values share a rank.

How to cite

Invokely calculation from Compensation of employees (Eurostat nama_10r_2coe) divided by hours worked by employees (Eurostat nama_10r_2emhrw). https://invokely.ai/docs/methodology#compensation_per_hour_worked_eur. Retrieved 2026-10-12.

Citation styles

Invokely calculated this figure from the publishers' data, so Invokely is the author and the publishers of the inputs are named.

APA 7

Invokely. (n.d.). Compensation of employees (Eurostat nama_10r_2coe) divided by hours worked by employees (Eurostat nama_10r_2emhrw) (Regions of Germany (NUTS 2) by compensation of employees per hour worked, 2023) [Data set]. Calculated from data by Eurostat. Retrieved October 12, 2026, from https://invokely.ai/docs/methodology#compensation_per_hour_worked_eur

MLA 9

Compensation of employees (Eurostat nama_10r_2coe) divided by hours worked by employees (Eurostat nama_10r_2emhrw), Regions of Germany (NUTS 2) by compensation of employees per hour worked, 2023. Calculated from data by Eurostat. Invokely, https://invokely.ai/docs/methodology#compensation_per_hour_worked_eur. Accessed 12 Oct. 2026.

Chicago (author-date)

Invokely. n.d. Compensation of employees (Eurostat nama_10r_2coe) divided by hours worked by employees (Eurostat nama_10r_2emhrw). Regions of Germany (NUTS 2) by compensation of employees per hour worked, 2023. Dataset. Calculated from data by Eurostat. Accessed October 12, 2026. https://invokely.ai/docs/methodology#compensation_per_hour_worked_eur.

Harvard

Invokely (no date) Compensation of employees (Eurostat nama_10r_2coe) divided by hours worked by employees (Eurostat nama_10r_2emhrw), Regions of Germany (NUTS 2) by compensation of employees per hour worked, 2023 [Dataset]. Calculated from data by Eurostat. Available at: https://invokely.ai/docs/methodology#compensation_per_hour_worked_eur (Accessed: 12 October 2026).

BibTeX

@misc{invokely_regions_of_germany_nuts_2023,
  author = {{Invokely}},
  title = {{Compensation of employees (Eurostat nama\_10r\_2coe) divided by hours worked by employees (Eurostat nama\_10r\_2emhrw): Regions of Germany (NUTS 2) by compensation of employees per hour worked, 2023}},
  howpublished = {Data set},
  url = {https://invokely.ai/docs/methodology#compensation_per_hour_worked_eur},
  urldate = {2026-10-12},
  note = {Calculated from data by Eurostat. Accessed via Invokely, https://invokely.ai/rankings/compensation-per-hour-worked/germany-regions. Publisher attribution: Invokely calculation from Compensation of employees (Eurostat nama\_10r\_2coe) divided by hours worked by employees (Eurostat nama\_10r\_2emhrw). https://invokely.ai/docs/methodology\#compensation\_per\_hour\_worked\_eur. Retrieved 2026-10-12.},
}

RIS

TY  - DATA
AU  - Invokely
TI  - Compensation of employees (Eurostat nama_10r_2coe) divided by hours worked by employees (Eurostat nama_10r_2emhrw): Regions of Germany (NUTS 2) by compensation of employees per hour worked, 2023
PB  - Invokely
DB  - Invokely
UR  - https://invokely.ai/docs/methodology#compensation_per_hour_worked_eur
L2  - https://invokely.ai/rankings/compensation-per-hour-worked/germany-regions
Y2  - 2026/10/12
N1  - Calculated from data by Eurostat.
N1  - Accessed via Invokely, https://invokely.ai/rankings/compensation-per-hour-worked/germany-regions.
N1  - Publisher attribution: Invokely calculation from Compensation of employees (Eurostat nama_10r_2coe) divided by hours worked by employees (Eurostat nama_10r_2emhrw). https://invokely.ai/docs/methodology#compensation_per_hour_worked_eur. Retrieved 2026-10-12.
ER  -

Embed this chart

Paste this code into a web page or a blog post. The chart shows the latest figures as they are published, with the source and a link back to this page.

Embed code

<iframe src="https://invokely.ai/embed/rankings/compensation-per-hour-worked/germany-regions" width="760" height="500" title="Regions of Germany (NUTS 2) by compensation of employees per hour worked, 2023, chart from Invokely" loading="lazy" style="border:0;width:100%;max-width:760px" referrerpolicy="strict-origin-when-cross-origin"></iframe>

Sites that read oEmbed links, such as WordPress, can show the chart when you paste the link to this page.

Use this data in your AI agent

Invokely serves this figure to AI assistants through MCP and to code through a REST API, with the source and citation attached. Ask your assistant:

Rank Regions of Germany by compensation of employees per hour worked using official data, and cite the source.

rank_places {"indicator":"compensation_per_hour_worked_eur","level":"region","within":"Germany","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=compensation_per_hour_worked_eur&level=region&within=Germany&limit=10

Connect Claude, ChatGPT or Cursor in one step. The trial answers 25 calls a day without an account.

Questions

Which region has the highest compensation of employees per hour worked?

Oberbayern, with €48.58 in 2023, according to Eurostat.

Which region has the lowest compensation of employees per hour worked?

Mecklenburg-Vorpommern, with €33.17 in 2023.

Where does this ranking come from?

Every value comes from one source and one period, so the places are comparable: Invokely, Compensation of employees (Eurostat nama_10r_2coe) divided by hours worked by employees (Eurostat nama_10r_2emhrw). Retrieved 2026-10-12.