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

Name: EU regions (NUTS 2) by compensation of employees per hour worked, 2016
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 2016, at €45.01. Severen tsentralen had the lowest, at €3.66. The median was €23.94 and the figure for the European Union (27) was €22.39. Source: Eurostat.

Highest45.01Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest

Lowest3.66Severen tsentralen

Median23.94244 regions

European Union (27)22.39History

Top 40 regions, 2016

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

Full ranking

Rank	Regions	2016 EUR	Change on 2015
1	Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest	45.01	+0.3%
2	Luxembourg	43.76	+0.8%
3	Ile-de-France	42.87	+3.2%
4	Hovedstaden	42.48	+0.3%
5	Prov. Vlaams-Brabant	42.22	+0.5%
6	Prov. Brabant wallon	41.46	+0.8%
7	Prov. Antwerpen	38.72	+0.4%
8	Oberbayern	37.94	+3.3%
9	Noord-Holland	36.99	+1.2%
10	Stuttgart	36.97	+2.8%
11	Midtjylland	36.82	+0.9%
12	Syddanmark	36.72	+0.9%
13	Darmstadt	36.69	+1.8%
14	Prov. Oost-Vlaanderen	36.31	+1%
15	Sjælland	36.19	+0.7%
16	Utrecht	36.15	+1.5%
17	Hamburg	35.99	+1.8%
18	Nordjylland	35.6	+1.5%
19	Guyane	35.57	+1.9%
20	Prov. Namur	35.39	+0.9%
21	Prov. Liège	35.36	+0.1%
22	Zuid-Holland	34.89	+1%
23	Prov. Hainaut	34.53	-0.1%
24	Karlsruhe	34.25	+2.5%
25	Mittelfranken	34.21	+3.4%
26	Prov. Limburg (BE)	34.04	-0.7%
27	Stockholm	33.77	+0.6%
28	Prov. West-Vlaanderen	33.61	+0.8%
29	Düsseldorf	33.49	+2%
30	Braunschweig	33.4	+1.5%
31	Köln	33.38	+2.5%
32	Bremen	33.18	+2.6%
33	Helsinki-Uusimaa	33.12	+1.1%
34	Groningen	33.02	+1.3%
35	Tübingen	33.01	+2.9%
36	Prov. Luxembourg (BE)	32.8	+0.4%
37	Rhône-Alpes	32.64	+0.2%
38	Wien	32.52	+2.4%
39	Noord-Brabant	32.51	+1.2%
40	Guadeloupe	32.35	+1.4%
41	Gießen	32.21	+2.1%
42	Kassel	32.21	+1%
43	Corse	32.15	+0.3%
44	Rheinhessen-Pfalz	32.12	+2%
45	Provence-Alpes-Côte d’Azur	32.03	+0.3%
46	Gelderland	31.8	+1.1%
47	Schwaben	31.63	+2.4%
48	Unterfranken	31.54	+2.8%
49	Oberpfalz	31.54	+3%
50	Midi-Pyrénées	31.53	-0.1%
51	Drenthe	31.52	+1.5%
52	Zeeland	31.52	+1.2%
53	Alsace	31.49	-1.1%
54	Haute-Normandie	31.44	-1%
55	Freiburg	31.41	+2.7%
56	Overijssel	31.4	+1.4%
57	Limburg (NL)	31.24	+1.3%
58	Flevoland	31.13	+0.9%
59	Friesland (NL)	30.95	+1.3%
60	Eastern and Midland	30.89	+1.4%
61	Martinique	30.89	+2.9%
62	Arnsberg	30.86	+2.4%
63	Berlin	30.78	+2.8%
64	Hannover	30.62	+2%
65	Oberfranken	30.52	+3.8%
66	Nord-Pas de Calais	30.48	-0.7%
67	Niederbayern	30.43	+3%
68	Aquitaine	30.31	+0.5%
69	Saarland	30.31	+2.5%
70	Auvergne	30.11	+0.1%
71	Detmold	30.03	+2%
72	Pays de la Loire	30.01	-0.5%
73	Vorarlberg	29.96	+1.2%
74	Münster	29.91	+2.3%
75	Languedoc-Roussillon	29.86	-0.1%
76	Picardie	29.82	-1.5%
77	Franche-Comté	29.79	-1.6%
78	Centre - Val de Loire	29.78	-0.5%
79	Lorraine	29.61	-1%
80	Bourgogne	29.42	-1.3%
81	Oberösterreich	29.4	+0.5%
82	Basse-Normandie	29.27	-0.3%
83	Bretagne	29.24	-0.6%
84	Limousin	29.18	-1.4%
85	Champagne-Ardenne	29.18	-1.7%
86	Länsi-Suomi	29.1	+1.5%
87	La Réunion	28.84	+1.7%
88	Poitou-Charentes	28.81	+0.5%
89	Åland	28.76	-0.7%
90	Koblenz	28.69	+3.2%
91	Etelä-Suomi	28.48	-0.3%
92	Västsverige	28.36	+0.1%
93	Southern	28.16	+0.4%
94	Niederösterreich	28.16	+2.3%
95	Pohjois- ja Itä-Suomi	28.14	+1.1%
96	Salzburg	28.13	+0.7%
97	Sydsverige	28.12	-0.3%
98	Trier	27.83	+2.7%
99	Östra Mellansverige	27.8	+0.4%
100	Tirol	27.74	+1.7%
101	Steiermark	27.66	+0.9%
102	Schleswig-Holstein	27.59	+2%
103	Kärnten	27.57	+0.1%
104	Weser-Ems	27.17	+2.1%
105	Lüneburg	27.13	+1.9%
106	Övre Norrland	27.04	-0.1%
107	Provincia Autonoma di Bolzano/Bozen	26.65	-0%
108	Norra Mellansverige	26.57	-0.4%
109	Mellersta Norrland	26.35	+0.2%
110	Småland med öarna	26.33	0%
111	Leipzig	26.3	+3.9%
112	Northern and Western	25.96	0%
113	Dresden	25.57	+3.5%
114	Lombardia	25.42	-0.1%
115	Brandenburg	25	+3.5%
116	Burgenland	24.89	+0.7%
117	Mayotte	24.46	+2.7%
118	Thüringen	24.36	+3.9%
119	Chemnitz	24.24	+3.6%
120	Sachsen-Anhalt	24.16	+3.6%
121	Valle d’Aosta/Vallée d’Aoste	24.04	-0.4%
122	Mecklenburg-Vorpommern	23.95	+3.8%
123	Emilia-Romagna	23.94	+0.2%
124	Provincia Autonoma di Trento	23.91	-0.2%
125	Lazio	23.87	-1.3%
126	Friuli-Venezia Giulia	23.83	+1.1%
127	Piemonte	23.45	-0.2%
128	Liguria	22.84	-1.4%
129	Basque Country	22.82	+0.2%
130	Veneto	22.75	+0.1%
131	Community of Madrid	22.59	+0.2%
132	Toscana	22.37	-0.6%
133	Marche	21.86	-0.7%
134	Melilla	21.18	+0.6%
135	Ceuta	21.15	+1.2%
136	Umbria	21.12	-0.5%
137	Molise	21.05	-0.2%
138	Catalonia	20.92	-0.1%
139	Navarre	20.91	-1%
140	Basilicata	20.78	-1.4%
141	Sardegna	20.74	-1.1%
142	Abruzzo	20.64	-1.7%
143	Sicilia	20.61	-1.1%
144	Puglia	20.05	-0.6%
145	Campania	19.64	-0.5%
146	Calabria	19.43	+1.3%
147	Aragon	19.24	-0.2%
148	Asturias	18.83	-0.9%
149	Cantabria	18.78	+0.2%
150	Balearic Islands	18.74	+0.5%
151	Castile and León	18.53	+0.6%
152	Galicia	17.98	+0.3%
153	Valencian Community	17.79	-0.7%
154	La Rioja	17.74	-0.7%
155	Canary Islands	17.33	-2.2%
156	Castilla-La Mancha	17.27	-0.8%
157	Extremadura	17.15	+0.3%
158	Andalusia	17.01	-1.2%
159	Zahodna Slovenija	16.87	+5.8%
160	Region of Murcia	15.82	-0.7%
161	Vzhodna Slovenija	14.77	+5.8%
162	Praha	14.56	+2.8%
163	Dytiki Makedonia	14.53	-10.6%
164	Kýpros	13.68	-2%
165	Grande Lisboa	13.51	-0.7%
166	Bratislavský kraj	13.29	+2.4%
167	Malta	12.9	+0.1%
168	Warszawski stołeczny	11.42	+9.4%
169	Península de Setúbal	11.19	+0.4%
170	Thessalia	10.99	-4.4%
171	Ionia Nisia	10.94	-2.6%
172	Região Autónoma da Madeira	10.78	+2.8%
173	Attiki	10.73	-5.3%
174	Peloponnisos	10.66	-2.3%
175	Sterea Elláda	10.62	-0.4%
176	Região Autónoma dos Açores	10.29	+2.3%
177	Alentejo	10.26	+2.5%
178	Anatoliki Makedonia, Thraki	10.16	-2.4%
179	Centro (PT)	10.11	+0.4%
180	Kentriki Makedonia	9.99	-2.8%
181	Eesti	9.94	+6.8%
182	Dytiki Elláda	9.88	-5.3%
183	Norte	9.75	+2.2%
184	Voreio Aigaio	9.66	-3.9%
185	Oeste e Vale do Tejo	9.65	+0.3%
186	Grad Zagreb	9.57	+0.8%
187	Algarve	9.51	+1.2%
188	Notio Aigaio	9.34	-8.3%
189	Střední Čechy	9.26	+2.7%
190	Jihovýchod	9.09	+6.7%
191	Ipeiros	9.07	-1.9%
192	Sostinės regionas	9.01	+4.3%
193	Stredné Slovensko	8.89	+3.6%
194	Moravskoslezsko	8.7	+3%
195	Kriti	8.68	-9.3%
196	Východné Slovensko	8.62	+2.7%
197	Západné Slovensko	8.62	+3.3%
198	Jihozápad	8.55	+3.6%
199	Severovýchod	8.35	+5.1%
200	Bucureşti-Ilfov	8.27	+14.4%
201	Jadranska Hrvatska	8.23	+3.2%
202	Střední Morava	8.05	+8.3%
203	Latvija	7.95	+6.9%
204	Severozápad	7.54	+4.2%
205	Budapest	7.54	+2.1%
206	Sjeverna Hrvatska	7.51	+3.2%
207	Közép-Dunántúl	7.16	+2.5%
208	Észak-Magyarország	7.07	+3.2%
209	Nyugat-Dunántúl	6.94	+0.5%
210	Dél-Alföld	6.86	+0.5%
211	Dél-Dunántúl	6.82	-0.9%
212	Észak-Alföld	6.73	+1.9%
213	Pest	6.65	+0.5%
214	Vidurio ir vakarų Lietuvos regionas	6.59	+4.7%
215	Dolnośląskie	6.57	-2.5%
216	Panonska Hrvatska	6.51	+2.5%
217	Małopolskie	6.46	+2.2%
218	Śląskie	6.4	-1.6%
219	Wielkopolskie	6.32	-1.3%
220	Pomorskie	6.02	+2.6%
221	Yugozapaden	5.91	+5.8%
222	Opolskie	5.72	-0.4%
223	Łódzkie	5.62	-0%
224	Mazowiecki regionalny	5.41	+0.7%
225	Podlaskie	5.38	-1%
226	Kujawsko-pomorskie	5.35	+2.7%
227	Zachodniopomorskie	5.2	-1.9%
228	Lubuskie	5.2	-0.3%
229	Podkarpackie	5.15	-5.2%
230	Lubelskie	5.15	-1.6%
231	Vest	5.11	+18.1%
232	Świętokrzyskie	4.98	-5.2%
233	Warmińsko-mazurskie	4.97	+0.5%
234	Centru	4.7	+16.6%
235	Sud-Vest Oltenia	4.32	+6.3%
236	Nord-Vest	4.28	+17.4%
237	Sud-Est	4.22	+9%
238	Yugoiztochen	4.19	+6.7%
239	Severoiztochen	4.11	+5.1%
240	Sud-Muntenia	4	+9.7%
241	Nord-Est	3.95	+15.6%
242	Yuzhen tsentralen	3.72	+6.4%
243	Severozapaden	3.72	+4.6%
244	Severen tsentralen	3.66	+5.8%

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) (EU regions (NUTS 2) by compensation of employees per hour worked, 2016) [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, 2016. 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, 2016. 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, 2016 [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_2016,
  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, 2016}},
  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=2016. 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, 2016
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=2016
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=2016.
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/eu-regions?period=2016" width="760" height="500" title="EU regions (NUTS 2) by compensation of employees per hour worked, 2016, 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 EU regions 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":"European Union (27)","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=compensation_per_hour_worked_eur&level=region&within=European%20Union%20(27)&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?

Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest, with €45.01 in 2016, according to Eurostat.

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

Severen tsentralen, with €3.66 in 2016.

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.