EU regions (NUTS 2) by compensation of employees per hour worked

Name: EU regions (NUTS 2) by compensation of employees per hour worked, 2020
License: https://invokely.ai/docs/methodology

Luxembourg had the highest compensation of employees per hour worked of 244 regions in 2020, at €51.93. Severen tsentralen had the lowest, at €5.34. The median was €26.21 and the figure for the European Union (27) was €25.4. Source: Eurostat.

Highest51.93Luxembourg

Lowest5.34Severen tsentralen

Median26.21244 regions

European Union (27)25.4History

Top 40 regions, 2020

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

Full ranking

Rank	Regions	2020 EUR	Change on 2019
1	Luxembourg	51.93	+8.5%
2	Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest	49.77	+5.2%
3	Hovedstaden	48.04	+5.8%
4	Prov. Vlaams-Brabant	47.07	+5.5%
5	Prov. Brabant wallon	46.33	+4.5%
6	Ile-de-France	45.61	+4.3%
7	Prov. Antwerpen	43.4	+5.7%
8	Noord-Holland	43.08	+8.5%
9	Oberbayern	43.07	+4%
10	Darmstadt	42.04	+4.1%
11	Stuttgart	42.02	+3.7%
12	Midtjylland	41.7	+4.7%
13	Hamburg	41.53	+4.3%
14	Syddanmark	41.11	+4.7%
15	Utrecht	40.89	+6.4%
16	Prov. Oost-Vlaanderen	40.41	+5.4%
17	Sjælland	40.2	+4.8%
18	Nordjylland	40.17	+4.7%
19	Zuid-Holland	39.29	+6.7%
20	Karlsruhe	39.2	+4.6%
21	Braunschweig	39.17	+3.9%
22	Prov. Liège	38.97	+4.6%
23	Prov. Namur	38.77	+4.9%
24	Mittelfranken	38.64	+3.7%
25	Köln	38.13	+3.6%
26	Düsseldorf	38.1	+3.5%
27	Wien	37.96	+10.4%
28	Prov. Hainaut	37.86	+5.1%
29	Prov. Limburg (BE)	37.77	+5.2%
30	Berlin	37.76	+7.1%
31	Tübingen	37.72	+4.4%
32	Prov. West-Vlaanderen	37.37	+5.1%
33	Groningen	37.28	+6.8%
34	Noord-Brabant	37.11	+7.6%
35	Kassel	37.1	+3.9%
36	Bremen	37.07	+3.2%
37	Gießen	36.79	+4.3%
38	Rheinhessen-Pfalz	36.53	+3.7%
39	Stockholm	36.33	+7.3%
40	Zeeland	36.29	+8.4%
41	Vorarlberg	36.06	+9.9%
42	Freiburg	35.98	+4.8%
43	Prov. Luxembourg (BE)	35.97	+4.6%
44	Gelderland	35.92	+7%
45	Unterfranken	35.91	+3.3%
46	Schwaben	35.87	+3.2%
47	Eastern and Midland	35.81	+8.9%
48	Limburg (NL)	35.78	+7.4%
49	Oberpfalz	35.72	+3.1%
50	Rhône-Alpes	35.57	+5.8%
51	Hannover	35.51	+4.1%
52	Overijssel	35.47	+7.1%
53	Guadeloupe	35.4	+5.3%
54	Drenthe	35.2	+6.8%
55	Friesland (NL)	35.19	+7.5%
56	Helsinki-Uusimaa	35.1	+1.5%
57	Oberösterreich	34.99	+9.3%
58	Arnsberg	34.98	+3.3%
59	Flevoland	34.76	+6.5%
60	Oberfranken	34.71	+3.6%
61	Niederbayern	34.48	+3%
62	Martinique	34.44	+5.4%
63	Saarland	34.41	+3.3%
64	Midi-Pyrénées	34.29	+4.4%
65	Provence-Alpes-Côte d’Azur	34.27	+3.6%
66	Salzburg	34.22	+11.7%
67	Alsace	34.21	+4.4%
68	Detmold	34.12	+3.6%
69	Münster	33.92	+3.7%
70	Guyane	33.81	+6.3%
71	Tirol	33.55	+11.7%
72	Haute-Normandie	33.55	+4.3%
73	Nord-Pas de Calais	33.36	+4.4%
74	Corse	33.34	-0%
75	Limousin	33.15	+5.4%
76	Koblenz	33.1	+4.3%
77	Aquitaine	32.92	+4.2%
78	Niederösterreich	32.87	+9.4%
79	Steiermark	32.8	+9.4%
80	Kärnten	32.73	+9.9%
81	Southern	32.72	+8%
82	Pays de la Loire	32.66	+5.1%
83	Trier	32.5	+5.5%
84	Bourgogne	32.4	+5%
85	Lorraine	32.39	+4.7%
86	Centre - Val de Loire	32.36	+5%
87	Franche-Comté	32.36	+5%
88	Auvergne	32.35	+5.2%
89	Bretagne	32.29	+5.5%
90	Languedoc-Roussillon	32.26	+4.5%
91	La Réunion	32.18	+3.8%
92	Mayotte	32.13	+16.6%
93	Picardie	32.13	+4.5%
94	Champagne-Ardenne	31.98	+4.8%
95	Schleswig-Holstein	31.95	+4.2%
96	Weser-Ems	31.54	+4.5%
97	Basse-Normandie	31.52	+3.8%
98	Leipzig	31.5	+5.6%
99	Lüneburg	31.43	+4.4%
100	Poitou-Charentes	31.3	+5.3%
101	Åland	30.9	-5.1%
102	Dresden	30.59	+5.6%
103	Länsi-Suomi	30.2	+1.1%
104	Northern and Western	29.96	+6.5%
105	Brandenburg	29.91	+5.8%
106	Provincia Autonoma di Bolzano/Bozen	29.81	+5.7%
107	Västsverige	29.7	+5.2%
108	Etelä-Suomi	29.41	+0.1%
109	Sydsverige	29.39	+5.4%
110	Burgenland	29.28	+10.4%
111	Thüringen	29.09	+4.4%
112	Pohjois- ja Itä-Suomi	28.9	+0.4%
113	Sachsen-Anhalt	28.87	+6%
114	Chemnitz	28.87	+4.9%
115	Mecklenburg-Vorpommern	28.63	+5.3%
116	Östra Mellansverige	28.33	+4.5%
117	Övre Norrland	28.12	+4%
118	Lombardia	27.9	+6.5%
119	Norra Mellansverige	27.33	+3.7%
120	Mellersta Norrland	27.31	+3.5%
121	Småland med öarna	27.3	+4.2%
122	Provincia Autonoma di Trento	26.22	+6.6%
123	Emilia-Romagna	26.21	+5.8%
124	Lazio	26.05	+6.1%
125	Basque Country	25.86	+6.3%
126	Valle d’Aosta/Vallée d’Aoste	25.68	+3.7%
127	Piemonte	25.67	+4.5%
128	Friuli-Venezia Giulia	25.62	+4%
129	Community of Madrid	25.36	+7%
130	Liguria	25.18	+6.2%
131	Veneto	24.69	+5%
132	Toscana	24.54	+5.9%
133	Navarre	24.09	+4.5%
134	Catalonia	23.66	+7.1%
135	Marche	23.52	+5.8%
136	Ceuta	23.51	+1.9%
137	Umbria	22.82	+3.3%
138	Abruzzo	22.7	+3.8%
139	Molise	22.53	+6.6%
140	Basilicata	22.39	+3.4%
141	Sicilia	22.32	+3.8%
142	Sardegna	22.28	+4.3%
143	Asturias	22.07	+6.9%
144	Aragon	21.83	+6.2%
145	Balearic Islands	21.68	+5.8%
146	Melilla	21.64	-1.1%
147	Cantabria	21.57	+4.8%
148	Puglia	21.4	+3%
149	Campania	21.35	+3.5%
150	La Rioja	21.01	+7.1%
151	Zahodna Slovenija	20.98	+7.5%
152	Galicia	20.85	+7.9%
153	Castile and León	20.73	+5.1%
154	Praha	20.71	+8.2%
155	Calabria	20.63	+3.3%
156	Valencian Community	20.59	+6.5%
157	Canary Islands	19.94	+7.2%
158	Castilla-La Mancha	19.9	+5.5%
159	Andalusia	19.7	+5.2%
160	Extremadura	19.24	+6.9%
161	Region of Murcia	18.75	+7.2%
162	Vzhodna Slovenija	18.7	+8.6%
163	Bratislavský kraj	17.83	+10.6%
164	Kýpros	15.92	+5.6%
165	Malta	15.7	+9.1%
166	Grande Lisboa	15.64	+6.7%
167	Eesti	14.12	+7.8%
168	Warszawski stołeczny	13.69	+0.8%
169	Dytiki Makedonia	13.59	+2.9%
170	Sostinės regionas	13.37	+10.9%
171	Região Autónoma da Madeira	13.01	+8.8%
172	Península de Setúbal	12.94	+5.4%
173	Střední Čechy	12.71	+5.1%
174	Jihovýchod	12.6	+8.9%
175	Região Autónoma dos Açores	12.51	+8.6%
176	Centro (PT)	12.43	+9.2%
177	Stredné Slovensko	12.25	+11.9%
178	Alentejo	12.07	+6.8%
179	Thessalia	12.06	+11%
180	Norte	12.03	+8.7%
181	Jihozápad	11.99	+6.4%
182	Sterea Elláda	11.95	+14.2%
183	Moravskoslezsko	11.94	+6.7%
184	Attiki	11.87	+11.3%
185	Oeste e Vale do Tejo	11.86	+9.1%
186	Západné Slovensko	11.84	+10.5%
187	Severovýchod	11.79	+6.1%
188	Střední Morava	11.77	+8.5%
189	Východné Slovensko	11.72	+11.2%
190	Bucureşti-Ilfov	11.64	+6.5%
191	Peloponnisos	11.64	+8.9%
192	Algarve	11.63	+6.9%
193	Dytiki Elláda	10.85	+11.5%
194	Severozápad	10.78	+9.2%
195	Grad Zagreb	10.76	+0.9%
196	Kentriki Makedonia	10.68	+10%
197	Anatoliki Makedonia, Thraki	10.59	+9.6%
198	Ionia Nisia	10.51	-1.3%
199	Latvija	10.41	+8%
200	Voreio Aigaio	10.23	+8.8%
201	Ipeiros	10.04	+10.2%
202	Vidurio ir vakarų Lietuvos regionas	9.51	+10.1%
203	Notio Aigaio	9.45	+2.8%
204	Kriti	9.37	+10.5%
205	Jadranska Hrvatska	9.24	-0.4%
206	Budapest	9.11	-0.7%
207	Dolnośląskie	8.69	+6.4%
208	Közép-Dunántúl	8.57	-0.3%
209	Nyugat-Dunántúl	8.45	+1.5%
210	Sjeverna Hrvatska	8.4	+0.2%
211	Észak-Magyarország	8.31	-1.1%
212	Yugozapaden	8.3	+8.5%
213	Śląskie	8.2	-0.2%
214	Pest	8.15	+2.3%
215	Małopolskie	8.13	+0.8%
216	Dél-Alföld	8.13	-1.3%
217	Dél-Dunántúl	8.07	-1.7%
218	Wielkopolskie	8.06	+2.6%
219	Észak-Alföld	8.06	-0.3%
220	Pomorskie	7.57	+1.3%
221	Panonska Hrvatska	7.29	+1%
222	Łódzkie	7.25	-0.4%
223	Mazowiecki regionalny	7.08	+9.9%
224	Centru	7.05	+5.2%
225	Vest	6.99	+3.8%
226	Kujawsko-pomorskie	6.83	+4.6%
227	Opolskie	6.81	+2.8%
228	Podlaskie	6.59	+1.5%
229	Zachodniopomorskie	6.59	+2.2%
230	Świętokrzyskie	6.56	+2%
231	Lubelskie	6.54	+1.8%
232	Lubuskie	6.46	+0.3%
233	Nord-Vest	6.35	+3.3%
234	Podkarpackie	6.32	-1.9%
235	Sud-Vest Oltenia	6.22	+6%
236	Sud-Est	6.2	+5.7%
237	Warmińsko-mazurskie	5.96	+2.6%
238	Nord-Est	5.79	+4.9%
239	Severoiztochen	5.78	+7.5%
240	Sud-Muntenia	5.68	+3.4%
241	Yugoiztochen	5.57	+8.9%
242	Severozapaden	5.48	+13.7%
243	Yuzhen tsentralen	5.4	+11.4%
244	Severen tsentralen	5.34	+12%

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) (EU regions (NUTS 2) by compensation of employees per hour worked, 2020) [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), EU regions (NUTS 2) by compensation of employees per hour worked, 2020. 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). EU regions (NUTS 2) by compensation of employees per hour worked, 2020. 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), EU regions (NUTS 2) by compensation of employees per hour worked, 2020 [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_eu_regions_nuts_2_2020,
  author = {{Invokely}},
  title = {{Compensation of employees (Eurostat nama\_10r\_2coe) divided by hours worked by employees (Eurostat nama\_10r\_2emhrw): EU regions (NUTS 2) by compensation of employees per hour worked, 2020}},
  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/eu-regions?period=2020. 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): EU regions (NUTS 2) by compensation of employees per hour worked, 2020
PB  - Invokely
DB  - Invokely
UR  - https://invokely.ai/docs/methodology#compensation_per_hour_worked_eur
L2  - https://invokely.ai/rankings/compensation-per-hour-worked/eu-regions?period=2020
Y2  - 2026/10/12
N1  - Calculated from data by Eurostat.
N1  - Accessed via Invokely, https://invokely.ai/rankings/compensation-per-hour-worked/eu-regions?period=2020.
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  -

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Questions

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

Luxembourg, with €51.93 in 2020, according to Eurostat.

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

Severen tsentralen, with €5.34 in 2020.

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.