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

Name: EU regions (NUTS 2) by compensation of employees per hour worked, 2017
License: https://invokely.ai/docs/methodology

Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest had the highest compensation of employees per hour worked of 244 regions in 2017, at €45.63. Severen tsentralen had the lowest, at €4.05. The median was €24.31 and the figure for the European Union (27) was €23. Source: Eurostat.

Highest45.63Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest

Lowest4.05Severen tsentralen

Median24.31244 regions

European Union (27)23History

Top 40 regions, 2017

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

Full ranking

Rank	Regions	2017 EUR	Change on 2016
1	Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest	45.63	+1.4%
2	Luxembourg	45.37	+3.7%
3	Ile-de-France	44.14	+3%
4	Hovedstaden	43.47	+2.3%
5	Prov. Vlaams-Brabant	42.83	+1.4%
6	Prov. Brabant wallon	42.06	+1.5%
7	Prov. Antwerpen	39.44	+1.8%
8	Oberbayern	39.01	+2.8%
9	Stuttgart	38.19	+3.3%
10	Darmstadt	37.79	+3%
11	Midtjylland	37.66	+2.3%
12	Noord-Holland	37.54	+1.5%
13	Syddanmark	37.42	+1.9%
14	Sjælland	36.93	+2.1%
15	Hamburg	36.91	+2.6%
16	Prov. Oost-Vlaanderen	36.84	+1.4%
17	Guyane	36.74	+3.3%
18	Utrecht	36.66	+1.4%
19	Nordjylland	36.32	+2%
20	Prov. Namur	36.15	+2.2%
21	Prov. Liège	35.86	+1.4%
22	Prov. Hainaut	35.72	+3.4%
23	Karlsruhe	35.33	+3.2%
24	Mittelfranken	35.24	+3%
25	Zuid-Holland	35.12	+0.7%
26	Prov. Limburg (BE)	34.57	+1.6%
27	Braunschweig	34.55	+3.4%
28	Düsseldorf	34.39	+2.7%
29	Köln	34.31	+2.8%
30	Bremen	34.25	+3.2%
31	Stockholm	34.25	+1.4%
32	Prov. West-Vlaanderen	34.13	+1.6%
33	Tübingen	33.91	+2.7%
34	Guadeloupe	33.78	+4.4%
35	Corse	33.67	+4.7%
36	Rhône-Alpes	33.51	+2.7%
37	Kassel	33.35	+3.5%
38	Prov. Luxembourg (BE)	33.3	+1.5%
39	Groningen	33.19	+0.5%
40	Wien	33.08	+1.7%
41	Gießen	33.04	+2.6%
42	Provence-Alpes-Côte d’Azur	33.02	+3.1%
43	Helsinki-Uusimaa	32.91	-0.6%
44	Rheinhessen-Pfalz	32.9	+2.4%
45	Noord-Brabant	32.88	+1.1%
46	Martinique	32.76	+6.1%
47	Schwaben	32.72	+3.4%
48	Oberpfalz	32.67	+3.6%
49	Unterfranken	32.65	+3.5%
50	Midi-Pyrénées	32.34	+2.5%
51	Freiburg	32.33	+2.9%
52	Alsace	32.29	+2.5%
53	Haute-Normandie	32.2	+2.4%
54	Gelderland	32.11	+1%
55	Berlin	32.04	+4.1%
56	Zeeland	31.92	+1.3%
57	Eastern and Midland	31.78	+2.9%
58	Arnsberg	31.69	+2.7%
59	Overijssel	31.64	+0.8%
60	Drenthe	31.52	-0%
61	Limburg (NL)	31.48	+0.8%
62	Hannover	31.48	+2.8%
63	Nord-Pas de Calais	31.48	+3.3%
64	Oberfranken	31.45	+3.1%
65	Niederbayern	31.37	+3.1%
66	Flevoland	31.35	+0.7%
67	Saarland	31.2	+2.9%
68	Aquitaine	31.19	+2.9%
69	Friesland (NL)	31.19	+0.8%
70	Languedoc-Roussillon	30.88	+3.4%
71	Auvergne	30.84	+2.4%
72	Detmold	30.79	+2.6%
73	Vorarlberg	30.79	+2.7%
74	Münster	30.75	+2.8%
75	Picardie	30.67	+2.8%
76	Pays de la Loire	30.56	+1.8%
77	Centre - Val de Loire	30.53	+2.5%
78	Lorraine	30.44	+2.8%
79	Franche-Comté	30.38	+2%
80	Bourgogne	30.27	+2.9%
81	Oberösterreich	30.25	+2.9%
82	Limousin	30.15	+3.3%
83	Bretagne	30.07	+2.8%
84	Basse-Normandie	29.97	+2.4%
85	La Réunion	29.78	+3.3%
86	Champagne-Ardenne	29.72	+1.9%
87	Koblenz	29.69	+3.5%
88	Poitou-Charentes	29.46	+2.3%
89	Länsi-Suomi	29.05	-0.1%
90	Salzburg	28.9	+2.7%
91	Niederösterreich	28.89	+2.6%
92	Trier	28.75	+3.3%
93	Västsverige	28.72	+1.3%
94	Etelä-Suomi	28.56	+0.3%
95	Tirol	28.47	+2.6%
96	Steiermark	28.4	+2.7%
97	Sydsverige	28.4	+1%
98	Schleswig-Holstein	28.38	+2.9%
99	Southern	28.34	+0.6%
100	Åland	28.33	-1.5%
101	Pohjois- ja Itä-Suomi	28.1	-0.1%
102	Kärnten	28.09	+1.9%
103	Östra Mellansverige	28.05	+0.9%
104	Lüneburg	27.97	+3.1%
105	Weser-Ems	27.96	+2.9%
106	Övre Norrland	27.39	+1.3%
107	Leipzig	27.19	+3.4%
108	Norra Mellansverige	26.89	+1.2%
109	Provincia Autonoma di Bolzano/Bozen	26.87	+0.8%
110	Mellersta Norrland	26.79	+1.7%
111	Småland med öarna	26.63	+1.2%
112	Dresden	26.41	+3.3%
113	Brandenburg	25.87	+3.5%
114	Mayotte	25.71	+5.1%
115	Northern and Western	25.51	-1.7%
116	Lombardia	25.46	+0.2%
117	Thüringen	25.38	+4.2%
118	Burgenland	25.28	+1.6%
119	Chemnitz	25.07	+3.4%
120	Sachsen-Anhalt	25.05	+3.7%
121	Mecklenburg-Vorpommern	24.72	+3.2%
122	Emilia-Romagna	24.34	+1.7%
123	Valle d’Aosta/Vallée d’Aoste	24.29	+1%
124	Lazio	24.06	+0.8%
125	Provincia Autonoma di Trento	23.82	-0.4%
126	Piemonte	23.74	+1.2%
127	Friuli-Venezia Giulia	23.74	-0.4%
128	Liguria	23.21	+1.6%
129	Veneto	22.89	+0.6%
130	Basque Country	22.83	0%
131	Community of Madrid	22.57	-0.1%
132	Toscana	22.38	+0.1%
133	Marche	21.65	-1%
134	Navarre	21.6	+3.3%
135	Abruzzo	21.24	+2.9%
136	Ceuta	21.22	+0.4%
137	Umbria	21.17	+0.3%
138	Melilla	21.01	-0.8%
139	Catalonia	20.81	-0.5%
140	Sicilia	20.78	+0.8%
141	Molise	20.74	-1.5%
142	Sardegna	20.69	-0.2%
143	Basilicata	20.5	-1.3%
144	Puglia	19.62	-2.2%
145	Campania	19.57	-0.3%
146	Balearic Islands	19.46	+3.8%
147	Asturias	19.39	+3%
148	Aragon	19.31	+0.4%
149	Cantabria	19.1	+1.7%
150	Calabria	19.04	-2%
151	La Rioja	18.49	+4.2%
152	Castile and León	18.42	-0.6%
153	Valencian Community	18.25	+2.6%
154	Galicia	18.12	+0.7%
155	Canary Islands	17.66	+1.9%
156	Zahodna Slovenija	17.65	+4.6%
157	Castilla-La Mancha	17.64	+2.2%
158	Andalusia	17.54	+3.2%
159	Extremadura	16.68	-2.7%
160	Region of Murcia	16.28	+2.9%
161	Praha	16.06	+10.2%
162	Vzhodna Slovenija	15.54	+5.2%
163	Dytiki Makedonia	14.76	+1.6%
164	Bratislavský kraj	14.24	+7.2%
165	Kýpros	14.03	+2.5%
166	Grande Lisboa	13.7	+1.4%
167	Malta	13.52	+4.8%
168	Warszawski stołeczny	12.4	+8.6%
169	Península de Setúbal	11.4	+1.9%
170	Thessalia	11.08	+0.8%
171	Peloponnisos	11.06	+3.8%
172	Ionia Nisia	11.04	+0.9%
173	Sterea Elláda	11.03	+3.8%
174	Attiki	10.94	+2%
175	Região Autónoma da Madeira	10.78	-0.1%
176	Eesti	10.59	+6.5%
177	Região Autónoma dos Açores	10.55	+2.6%
178	Centro (PT)	10.49	+3.8%
179	Alentejo	10.48	+2.1%
180	Anatoliki Makedonia, Thraki	10.21	+0.5%
181	Kentriki Makedonia	10.1	+1.1%
182	Norte	10.07	+3.3%
183	Dytiki Elláda	10.01	+1.4%
184	Jihovýchod	9.92	+9.2%
185	Oeste e Vale do Tejo	9.88	+2.4%
186	Algarve	9.84	+3.5%
187	Voreio Aigaio	9.79	+1.4%
188	Střední Čechy	9.74	+5.2%
189	Grad Zagreb	9.74	+1.8%
190	Jihozápad	9.71	+13.5%
191	Sostinės regionas	9.68	+7.4%
192	Stredné Slovensko	9.49	+6.8%
193	Moravskoslezsko	9.49	+9.1%
194	Severovýchod	9.38	+12.4%
195	Notio Aigaio	9.34	+0.1%
196	Ipeiros	9.28	+2.2%
197	Bucureşti-Ilfov	9.28	+12.2%
198	Západné Slovensko	9.27	+7.5%
199	Střední Morava	9.13	+13.5%
200	Východné Slovensko	9.13	+6%
201	Kriti	8.79	+1.3%
202	Latvija	8.61	+8.3%
203	Jadranska Hrvatska	8.43	+2.4%
204	Severozápad	8.36	+10.9%
205	Budapest	8.16	+8.2%
206	Közép-Dunántúl	7.78	+8.8%
207	Sjeverna Hrvatska	7.7	+2.6%
208	Észak-Magyarország	7.69	+8.7%
209	Dolnośląskie	7.58	+15.4%
210	Vidurio ir vakarų Lietuvos regionas	7.55	+14.5%
211	Nyugat-Dunántúl	7.51	+8.2%
212	Dél-Dunántúl	7.47	+9.6%
213	Dél-Alföld	7.43	+8.5%
214	Észak-Alföld	7.34	+9%
215	Małopolskie	7.09	+9.7%
216	Pest	7.08	+6.4%
217	Śląskie	6.92	+8.1%
218	Wielkopolskie	6.92	+9.4%
219	Panonska Hrvatska	6.62	+1.8%
220	Pomorskie	6.6	+9.6%
221	Yugozapaden	6.51	+10.2%
222	Łódzkie	6.12	+8.8%
223	Opolskie	6.1	+6.8%
224	Mazowiecki regionalny	5.83	+7.8%
225	Kujawsko-pomorskie	5.81	+8.6%
226	Vest	5.81	+13.6%
227	Podlaskie	5.79	+7.7%
228	Zachodniopomorskie	5.73	+10.2%
229	Lubuskie	5.69	+9.4%
230	Lubelskie	5.57	+8.3%
231	Podkarpackie	5.56	+7.9%
232	Centru	5.48	+16.6%
233	Świętokrzyskie	5.4	+8.4%
234	Warmińsko-mazurskie	5.24	+5.4%
235	Nord-Vest	5.06	+18.1%
236	Sud-Est	4.91	+16.3%
237	Sud-Vest Oltenia	4.82	+11.5%
238	Nord-Est	4.64	+17.4%
239	Yugoiztochen	4.64	+10.7%
240	Severoiztochen	4.57	+11.1%
241	Sud-Muntenia	4.52	+13%
242	Yuzhen tsentralen	4.11	+10.4%
243	Severozapaden	4.08	+9.7%
244	Severen tsentralen	4.05	+10.7%

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, 2017) [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, 2017. 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, 2017. 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, 2017 [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_2017,
  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, 2017}},
  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=2017. 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, 2017
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=2017
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=2017.
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?

Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest, with €45.63 in 2017, according to Eurostat.

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

Severen tsentralen, with €4.05 in 2017.

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.