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

Name: EU regions (NUTS 2) by compensation of employees per hour worked, 2021
License: https://invokely.ai/docs/methodology

Luxembourg had the highest compensation of employees per hour worked of 244 regions in 2021, at €51.5. Nord-Est had the lowest, at €5.52. The median was €25.99 and the figure for the European Union (27) was €25.61. Source: Eurostat.

Highest51.5Luxembourg

Lowest5.52Nord-Est

Median25.99244 regions

European Union (27)25.61History

Top 40 regions, 2021

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

Full ranking

Rank	Regions	2021 EUR	Change on 2020
1	Luxembourg	51.5	-0.8%
2	Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest	50.48	+1.4%
3	Hovedstaden	48.16	+0.2%
4	Prov. Vlaams-Brabant	47.28	+0.4%
5	Prov. Brabant wallon	46.58	+0.5%
6	Ile-de-France	45.58	-0.1%
7	Noord-Holland	43.73	+1.5%
8	Oberbayern Estimated	43.53	+1.1%
9	Prov. Antwerpen	43.42	0%
10	Darmstadt Estimated	42.44	+0.9%
11	Stuttgart Estimated	42.42	+1%
12	Midtjylland	41.88	+0.4%
13	Hamburg	41.73	+0.5%
14	Utrecht	41.33	+1.1%
15	Syddanmark	41.27	+0.4%
16	Prov. Oost-Vlaanderen	40.6	+0.5%
17	Sjælland	40.38	+0.4%
18	Nordjylland	40.34	+0.4%
19	Karlsruhe Estimated	39.48	+0.7%
20	Zuid-Holland	39.12	-0.4%
21	Prov. Liège	39.08	+0.3%
22	Stockholm	39.02	+7.4%
23	Mittelfranken Estimated	38.96	+0.8%
24	Braunschweig Estimated	38.75	-1.1%
25	Berlin	38.73	+2.6%
26	Prov. Namur	38.71	-0.2%
27	Köln Estimated	38.39	+0.7%
28	Düsseldorf Estimated	38.39	+0.8%
29	Tübingen Estimated	38.1	+1%
30	Prov. Limburg (BE)	38.09	+0.8%
31	Prov. Hainaut	38.04	+0.5%
32	Wien	37.7	-0.7%
33	Prov. West-Vlaanderen	37.64	+0.7%
34	Kassel Estimated	37.31	+0.5%
35	Groningen	37.24	-0.1%
36	Bremen	37.22	+0.4%
37	Noord-Brabant	37.07	-0.1%
38	Gießen Estimated	36.97	+0.5%
39	Rheinhessen-Pfalz Estimated	36.82	+0.8%
40	Eastern and Midland	36.63	+2.3%
41	Helsinki-Uusimaa	36.56	+4.2%
42	Unterfranken Estimated	36.39	+1.3%
43	Schwaben Estimated	36.26	+1.1%
44	Prov. Luxembourg (BE)	36.18	+0.6%
45	Freiburg Estimated	36.16	+0.5%
46	Oberpfalz Estimated	36.09	+1%
47	Vorarlberg	35.91	-0.4%
48	Gelderland	35.86	-0.2%
49	Hannover Estimated	35.78	+0.8%
50	Zeeland	35.71	-1.6%
51	Limburg (NL)	35.51	-0.7%
52	Overijssel	35.25	-0.6%
53	Arnsberg Estimated	35.23	+0.7%
54	Oberfranken Estimated	35.11	+1.2%
55	Friesland (NL)	34.96	-0.7%
56	Drenthe	34.88	-0.9%
57	Niederbayern Estimated	34.81	+1%
58	Rhône-Alpes	34.79	-2.2%
59	Oberösterreich	34.79	-0.6%
60	Guadeloupe	34.64	-2.1%
61	Saarland	34.54	+0.4%
62	Detmold Estimated	34.52	+1.2%
63	Flevoland	34.46	-0.9%
64	Münster Estimated	34.37	+1.3%
65	Corse	34.33	+3%
66	Åland	34.12	+10.4%
67	Provence-Alpes-Côte d’Azur	34.03	-0.7%
68	Southern	34	+3.9%
69	Alsace	33.85	-1%
70	Martinique	33.85	-1.7%
71	Midi-Pyrénées	33.75	-1.6%
72	Salzburg	33.66	-1.6%
73	Koblenz Estimated	33.54	+1.3%
74	Tirol	33.38	-0.5%
75	Nord-Pas de Calais	33.17	-0.6%
76	Haute-Normandie	33.09	-1.4%
77	Limousin	32.96	-0.6%
78	Mayotte	32.87	+2.3%
79	Trier Estimated	32.82	+1%
80	Kärnten	32.78	+0.2%
81	Niederösterreich	32.64	-0.7%
82	Steiermark	32.57	-0.7%
83	Aquitaine	32.42	-1.5%
84	Franche-Comté	32.28	-0.3%
85	Pays de la Loire	32.25	-1.2%
86	Schleswig-Holstein	32.2	+0.8%
87	Languedoc-Roussillon	32.08	-0.6%
88	Bourgogne	32.03	-1.1%
89	Centre - Val de Loire	31.95	-1.3%
90	Leipzig Estimated	31.93	+1.4%
91	Bretagne	31.9	-1.2%
92	Guyane	31.87	-5.7%
93	Lorraine	31.86	-1.6%
94	Auvergne	31.82	-1.6%
95	Picardie	31.7	-1.3%
96	Weser-Ems Estimated	31.69	+0.5%
97	Lüneburg Estimated	31.62	+0.6%
98	Champagne-Ardenne	31.53	-1.4%
99	Länsi-Suomi	31.53	+4.4%
100	Västsverige	31.48	+6%
101	Sydsverige	31.46	+7.1%
102	Dresden Estimated	31.17	+1.9%
103	Basse-Normandie	31.14	-1.2%
104	Poitou-Charentes	30.97	-1%
105	La Réunion	30.87	-4.1%
106	Etelä-Suomi	30.79	+4.7%
107	Northern and Western	30.46	+1.6%
108	Brandenburg	30.37	+1.5%
109	Pohjois- ja Itä-Suomi	30.13	+4.2%
110	Övre Norrland	29.98	+6.6%
111	Provincia Autonoma di Bolzano/Bozen	29.91	+0.3%
112	Östra Mellansverige	29.88	+5.5%
113	Thüringen	29.73	+2.2%
114	Burgenland	29.52	+0.8%
115	Chemnitz Estimated	29.28	+1.4%
116	Sachsen-Anhalt	29.26	+1.4%
117	Mecklenburg-Vorpommern	29.08	+1.6%
118	Mellersta Norrland	29.07	+6.5%
119	Norra Mellansverige	28.93	+5.8%
120	Småland med öarna	28.87	+5.7%
121	Lombardia	27.67	-0.8%
122	Lazio	26.02	-0.1%
123	Basque Country	25.95	+0.4%
124	Friuli-Venezia Giulia	25.85	+0.9%
125	Community of Madrid	25.8	+1.7%
126	Emilia-Romagna	25.78	-1.6%
127	Provincia Autonoma di Trento	25.73	-1.9%
128	Piemonte	25.44	-0.9%
129	Liguria	25.07	-0.4%
130	Valle d’Aosta/Vallée d’Aoste	24.79	-3.5%
131	Veneto	24.4	-1.2%
132	Navarre	24.15	+0.2%
133	Catalonia	24.08	+1.8%
134	Toscana	23.82	-2.9%
135	Marche	23	-2.2%
136	Ceuta	22.95	-2.4%
137	Abruzzo	22.81	+0.5%
138	Umbria	22.5	-1.4%
139	Aragon	22.07	+1.1%
140	Sicilia	21.98	-1.5%
141	Asturias	21.98	-0.4%
142	Basilicata	21.91	-2.1%
143	Sardegna	21.91	-1.7%
144	Molise	21.84	-3.1%
145	Balearic Islands	21.77	+0.4%
146	Melilla	21.72	+0.4%
147	Zahodna Slovenija	21.7	+3.4%
148	Cantabria	21.67	+0.5%
149	La Rioja	21.35	+1.6%
150	Praha	21.25	+2.6%
151	Puglia	21.03	-1.8%
152	Galicia	20.97	+0.6%
153	Calabria	20.9	+1.3%
154	Valencian Community	20.89	+1.5%
155	Campania	20.84	-2.4%
156	Castile and León	20.82	+0.4%
157	Castilla-La Mancha	20.04	+0.7%
158	Andalusia	19.97	+1.4%
159	Canary Islands	19.82	-0.6%
160	Vzhodna Slovenija	19.34	+3.5%
161	Region of Murcia	19.06	+1.7%
162	Extremadura	19.02	-1.2%
163	Bratislavský kraj	18.75	+5.2%
164	Malta	16.52	+5.2%
165	Grande Lisboa	16.09	+2.9%
166	Kýpros	15.72	-1.3%
167	Eesti	15.57	+10.3%
168	Sostinės regionas	14.71	+10.1%
169	Střední Čechy	13.97	+9.9%
170	Jihovýchod	13.84	+9.8%
171	Península de Setúbal	13.13	+1.4%
172	Moravskoslezsko	13.11	+9.7%
173	Stredné Slovensko	13.04	+6.4%
174	Dytiki Makedonia	12.94	-4.8%
175	Região Autónoma da Madeira	12.86	-1.2%
176	Severovýchod	12.81	+8.6%
177	Warszawski stołeczny	12.8	-6.5%
178	Jihozápad	12.64	+5.4%
179	Centro (PT)	12.62	+1.5%
180	Východné Slovensko	12.58	+7.4%
181	Střední Morava	12.51	+6.3%
182	Západné Slovensko	12.51	+5.7%
183	Região Autónoma dos Açores	12.47	-0.3%
184	Norte	12.33	+2.5%
185	Alentejo	12.19	+1%
186	Oeste e Vale do Tejo	12.06	+1.7%
187	Bucureşti-Ilfov	11.9	+2.2%
188	Algarve	11.89	+2.2%
189	Thessalia	11.76	-2.4%
190	Sterea Elláda	11.75	-1.7%
191	Peloponnisos	11.65	+0.1%
192	Grad Zagreb	11.59	+7.8%
193	Severozápad	11.36	+5.4%
194	Attiki	11.07	-6.7%
195	Latvija	11	+5.7%
196	Ionia Nisia	10.8	+2.8%
197	Vidurio ir vakarų Lietuvos regionas	10.44	+9.8%
198	Dytiki Elláda	10.31	-5%
199	Anatoliki Makedonia, Thraki	10.29	-2.8%
200	Kentriki Makedonia	9.99	-6.4%
201	Voreio Aigaio	9.94	-2.8%
202	Jadranska Hrvatska	9.82	+6.2%
203	Ipeiros	9.68	-3.6%
204	Budapest	9.5	+4.3%
205	Notio Aigaio	9.39	-0.6%
206	Kriti	9.32	-0.4%
207	Yugozapaden	9.04	+8.9%
208	Dolnośląskie	8.87	+2.1%
209	Sjeverna Hrvatska	8.82	+5%
210	Közép-Dunántúl	8.72	+1.7%
211	Nyugat-Dunántúl	8.69	+2.8%
212	Észak-Magyarország	8.67	+4.3%
213	Dél-Alföld	8.52	+4.9%
214	Dél-Dunántúl	8.48	+5%
215	Pest	8.45	+3.7%
216	Észak-Alföld	8.36	+3.8%
217	Śląskie	8.12	-1%
218	Małopolskie	8.04	-1.1%
219	Wielkopolskie	7.9	-2.1%
220	Panonska Hrvatska	7.7	+5.7%
221	Łódzkie	7.58	+4.5%
222	Pomorskie	7.55	-0.2%
223	Vest	7.17	+2.6%
224	Mazowiecki regionalny	7.15	+1.1%
225	Centru	7.12	+1%
226	Opolskie	7.1	+4.4%
227	Kujawsko-pomorskie	6.98	+2.3%
228	Podlaskie	6.92	+5%
229	Lubelskie	6.78	+3.7%
230	Podkarpackie	6.7	+6%
231	Lubuskie	6.58	+1.8%
232	Zachodniopomorskie	6.54	-0.7%
233	Severoiztochen	6.54	+13.1%
234	Świętokrzyskie	6.46	-1.5%
235	Sud-Vest Oltenia	6.37	+2.3%
236	Nord-Vest	6.36	+0.1%
237	Yugoiztochen	6.28	+12.7%
238	Sud-Est	6.24	+0.5%
239	Yuzhen tsentralen	6.06	+12.1%
240	Severozapaden	6.03	+10.1%
241	Warmińsko-mazurskie	5.97	+0.1%
242	Severen tsentralen	5.96	+11.7%
243	Sud-Muntenia	5.85	+3%
244	Nord-Est	5.52	-4.7%

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, 2021) [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, 2021. 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, 2021. 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, 2021 [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_2021,
  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, 2021}},
  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=2021. 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, 2021
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=2021
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=2021.
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 €51.5 in 2021, according to Eurostat.

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

Nord-Est, with €5.52 in 2021.

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.