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

Name: EU regions (NUTS 2) by compensation of employees per hour worked, 2018
License: https://invokely.ai/docs/methodology

Luxembourg had the highest compensation of employees per hour worked of 244 regions in 2018, at €46.79. Severen tsentralen had the lowest, at €4.42. The median was €24.37 and the figure for the European Union (27) was €23.58. Source: Eurostat.

Highest46.79Luxembourg

Lowest4.42Severen tsentralen

Median24.37244 regions

European Union (27)23.58History

Top 40 regions, 2018

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

Full ranking

Rank	Regions	2018 EUR	Change on 2017
1	Luxembourg	46.79	+3.1%
2	Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest	46.36	+1.6%
3	Hovedstaden	44.73	+2.9%
4	Ile-de-France	44.31	+0.4%
5	Prov. Vlaams-Brabant	43.44	+1.4%
6	Prov. Brabant wallon	43.24	+2.8%
7	Prov. Antwerpen	40.09	+1.7%
8	Oberbayern	39.92	+2.3%
9	Stuttgart	39.26	+2.8%
10	Midtjylland	39.08	+3.8%
11	Darmstadt	39.02	+3.2%
12	Syddanmark	38.56	+3%
13	Noord-Holland	38.53	+2.6%
14	Hamburg	38.35	+3.9%
15	Guyane	37.93	+3.2%
16	Nordjylland	37.73	+3.9%
17	Sjælland	37.7	+2.1%
18	Prov. Oost-Vlaanderen	37.6	+2.1%
19	Utrecht	37.38	+2%
20	Prov. Namur	36.72	+1.6%
21	Prov. Liège	36.43	+1.6%
22	Braunschweig	36.23	+4.9%
23	Karlsruhe	36.03	+2%
24	Mittelfranken	36	+2.1%
25	Zuid-Holland	35.92	+2.3%
26	Düsseldorf	35.6	+3.5%
27	Köln	35.6	+3.8%
28	Prov. Hainaut	35.48	-0.7%
29	Bremen	35.15	+2.6%
30	Prov. Limburg (BE)	35.11	+1.6%
31	Guadeloupe	34.99	+3.6%
32	Prov. West-Vlaanderen	34.81	+2%
33	Tübingen	34.81	+2.6%
34	Kassel	34.57	+3.7%
35	Gießen	34.26	+3.7%
36	Groningen	34.05	+2.6%
37	Rheinhessen-Pfalz	34.02	+3.4%
38	Wien	33.89	+2.4%
39	Martinique	33.86	+3.3%
40	Prov. Luxembourg (BE)	33.75	+1.3%
41	Rhône-Alpes	33.74	+0.7%
42	Corse	33.73	+0.2%
43	Helsinki-Uusimaa	33.7	+2.4%
44	Noord-Brabant	33.63	+2.3%
45	Oberpfalz	33.62	+2.9%
46	Schwaben	33.55	+2.5%
47	Stockholm	33.53	-2.1%
48	Unterfranken	33.48	+2.5%
49	Berlin	33.47	+4.5%
50	Provence-Alpes-Côte d’Azur	33.2	+0.6%
51	Freiburg	33.05	+2.2%
52	Hannover	32.88	+4.4%
53	Arnsberg	32.84	+3.6%
54	Alsace	32.76	+1.5%
55	Gelderland	32.71	+1.8%
56	Zeeland	32.6	+2.1%
57	Midi-Pyrénées	32.59	+0.8%
58	Haute-Normandie	32.52	+1%
59	Saarland	32.48	+4.1%
60	Overijssel	32.31	+2.1%
61	Limburg (NL)	32.23	+2.4%
62	Niederbayern	32.23	+2.7%
63	Oberfranken	32.23	+2.4%
64	Drenthe	32.2	+2.1%
65	Nord-Pas de Calais	31.95	+1.5%
66	Detmold	31.94	+3.7%
67	Vorarlberg	31.82	+3.4%
68	Friesland (NL)	31.82	+2%
69	Flevoland	31.8	+1.5%
70	Eastern and Midland	31.79	0%
71	Münster	31.75	+3.3%
72	Aquitaine	31.46	+0.9%
73	Oberösterreich	31.2	+3.1%
74	Languedoc-Roussillon	31.04	+0.5%
75	Pays de la Loire	30.97	+1.3%
76	La Réunion	30.96	+4%
77	Picardie	30.9	+0.7%
78	Åland	30.84	+8.8%
79	Lorraine	30.8	+1.2%
80	Centre - Val de Loire	30.78	+0.8%
81	Franche-Comté	30.76	+1.2%
82	Auvergne	30.61	-0.7%
83	Limousin	30.55	+1.3%
84	Koblenz	30.53	+2.8%
85	Bourgogne	30.48	+0.7%
86	Bretagne	30.41	+1.2%
87	Basse-Normandie	30.32	+1.2%
88	Champagne-Ardenne	30.24	+1.8%
89	Poitou-Charentes	29.94	+1.6%
90	Trier	29.72	+3.4%
91	Niederösterreich	29.69	+2.8%
92	Schleswig-Holstein	29.64	+4.4%
93	Salzburg	29.64	+2.5%
94	Länsi-Suomi	29.49	+1.5%
95	Tirol	29.26	+2.8%
96	Steiermark	29.23	+2.9%
97	Weser-Ems	29.19	+4.4%
98	Kärnten	29.13	+3.7%
99	Southern	29.07	+2.6%
100	Lüneburg	29.01	+3.7%
101	Etelä-Suomi	28.81	+0.9%
102	Leipzig	28.56	+5%
103	Västsverige	28.07	-2.3%
104	Mayotte	28	+8.9%
105	Pohjois- ja Itä-Suomi	27.98	-0.4%
106	Dresden	27.75	+5.1%
107	Sydsverige	27.63	-2.7%
108	Östra Mellansverige	27.32	-2.6%
109	Provincia Autonoma di Bolzano/Bozen	27.27	+1.5%
110	Northern and Western	27.06	+6.1%
111	Brandenburg	27.04	+4.5%
112	Övre Norrland	26.6	-2.9%
113	Thüringen	26.58	+4.7%
114	Chemnitz	26.22	+4.6%
115	Norra Mellansverige	26.17	-2.7%
116	Burgenland	26.15	+3.4%
117	Mellersta Norrland	26.11	-2.5%
118	Sachsen-Anhalt	26.1	+4.2%
119	Lombardia	26	+2.2%
120	Småland med öarna	25.99	-2.4%
121	Mecklenburg-Vorpommern	25.84	+4.6%
122	Emilia-Romagna	24.46	+0.5%
123	Lazio	24.28	+0.9%
124	Valle d’Aosta/Vallée d’Aoste	24.21	-0.3%
125	Friuli-Venezia Giulia	24.09	+1.5%
126	Piemonte	24.09	+1.5%
127	Provincia Autonoma di Trento	23.78	-0.1%
128	Liguria	23.66	+1.9%
129	Basque Country	23.13	+1.3%
130	Veneto	22.83	-0.2%
131	Toscana	22.61	+1%
132	Community of Madrid	22.59	+0.1%
133	Navarre	22.17	+2.6%
134	Marche	21.66	0%
135	Umbria	21.57	+1.9%
136	Abruzzo	21.57	+1.6%
137	Ceuta	21.46	+1.1%
138	Melilla	21.29	+1.3%
139	Catalonia	21.17	+1.7%
140	Sicilia	21.09	+1.5%
141	Molise	20.99	+1.2%
142	Sardegna	20.87	+0.8%
143	Basilicata	20.71	+1%
144	Puglia	20.17	+2.8%
145	Campania	19.83	+1.3%
146	Aragon	19.7	+2%
147	Balearic Islands	19.69	+1.2%
148	Cantabria	19.62	+2.7%
149	Asturias	19.62	+1.2%
150	Calabria	19.38	+1.7%
151	La Rioja	18.91	+2.3%
152	Castile and León	18.78	+1.9%
153	Zahodna Slovenija	18.57	+5.2%
154	Valencian Community	18.57	+1.8%
155	Galicia	18.5	+2.1%
156	Castilla-La Mancha	18.08	+2.5%
157	Andalusia	17.86	+1.8%
158	Canary Islands	17.8	+0.8%
159	Praha	17.62	+9.8%
160	Extremadura	17.17	+2.9%
161	Region of Murcia	16.9	+3.8%
162	Vzhodna Slovenija	16.29	+4.9%
163	Bratislavský kraj	14.96	+5%
164	Malta	14.35	+6.2%
165	Kýpros	14.35	+2.3%
166	Grande Lisboa	14.09	+2.9%
167	Dytiki Makedonia	13.67	-7.4%
168	Warszawski stołeczny	13.49	+8.8%
169	Eesti	12.05	+13.8%
170	Península de Setúbal	11.79	+3.5%
171	Região Autónoma da Madeira	11.2	+4%
172	Região Autónoma dos Açores	11.02	+4.4%
173	Centro (PT)	10.99	+4.7%
174	Jihovýchod	10.98	+10.6%
175	Alentejo	10.95	+4.5%
176	Jihozápad	10.84	+11.7%
177	Střední Čechy	10.76	+10.4%
178	Thessalia	10.67	-3.7%
179	Ionia Nisia	10.63	-3.7%
180	Sterea Elláda	10.61	-3.9%
181	Moravskoslezsko	10.59	+11.6%
182	Peloponnisos	10.52	-4.9%
183	Severovýchod	10.48	+11.7%
184	Norte	10.46	+3.9%
185	Attiki	10.44	-4.6%
186	Sostinės regionas	10.39	+7.4%
187	Grad Zagreb	10.35	+6.2%
188	Oeste e Vale do Tejo	10.31	+4.3%
189	Stredné Slovensko	10.16	+7%
190	Algarve	10.15	+3.1%
191	Bucureşti-Ilfov	10.13	+9.2%
192	Střední Morava	10.13	+10.9%
193	Západné Slovensko	9.98	+7.7%
194	Anatoliki Makedonia, Thraki	9.84	-3.6%
195	Východné Slovensko	9.71	+6.4%
196	Dytiki Elláda	9.64	-3.7%
197	Kentriki Makedonia	9.64	-4.6%
198	Voreio Aigaio	9.3	-5.1%
199	Latvija	9.15	+6.3%
200	Jadranska Hrvatska	9.08	+7.7%
201	Notio Aigaio	9.02	-3.5%
202	Severozápad	9.01	+7.8%
203	Ipeiros	8.94	-3.6%
204	Budapest	8.57	+5.1%
205	Dolnośląskie	8.47	+11.8%
206	Sjeverna Hrvatska	8.31	+8%
207	Kriti	8.3	-5.6%
208	Közép-Dunántúl	8.12	+4.4%
209	Vidurio ir vakarų Lietuvos regionas	8.11	+7.4%
210	Észak-Magyarország	7.91	+2.8%
211	Nyugat-Dunántúl	7.77	+3.5%
212	Małopolskie	7.74	+9.1%
213	Śląskie	7.71	+11.4%
214	Dél-Alföld	7.64	+2.7%
215	Dél-Dunántúl	7.57	+1.4%
216	Észak-Alföld	7.57	+3.2%
217	Wielkopolskie	7.49	+8.3%
218	Pest	7.46	+5.4%
219	Pomorskie	7.31	+10.8%
220	Yugozapaden	7.15	+9.7%
221	Panonska Hrvatska	7.12	+7.5%
222	Opolskie	6.52	+6.8%
223	Łódzkie	6.45	+5.5%
224	Podlaskie	6.3	+8.8%
225	Centru	6.28	+14.6%
226	Kujawsko-pomorskie	6.24	+7.4%
227	Lubuskie	6.18	+8.6%
228	Vest	6.15	+6%
229	Podkarpackie	6.14	+10.5%
230	Mazowiecki regionalny	6.07	+4.1%
231	Zachodniopomorskie	6.05	+5.6%
232	Lubelskie	6.01	+7.9%
233	Świętokrzyskie	5.92	+9.7%
234	Sud-Vest Oltenia	5.61	+16.3%
235	Warmińsko-mazurskie	5.56	+6%
236	Nord-Vest	5.53	+9.3%
237	Sud-Est	5.38	+9.6%
238	Nord-Est	5.16	+11.1%
239	Yugoiztochen	5.03	+8.5%
240	Sud-Muntenia	5	+10.6%
241	Severoiztochen	4.99	+9.1%
242	Yuzhen tsentralen	4.51	+9.9%
243	Severozapaden	4.5	+10.3%
244	Severen tsentralen	4.42	+9.1%

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, 2018) [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, 2018. 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, 2018. 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, 2018 [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_2018,
  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, 2018}},
  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=2018. 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, 2018
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=2018
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=2018.
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 €46.79 in 2018, according to Eurostat.

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

Severen tsentralen, with €4.42 in 2018.

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.