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

Luxembourg had the highest compensation of employees per hour worked of 244 regions in 2022, at €53.92. Nord-Est had the lowest, at €6.17. The median was €26.71 and the figure for the European Union (27) was €26.61. Source: Eurostat.

Highest53.92Luxembourg
Lowest6.17Nord-Est
Median26.71244 regions
European Union (27)26.61History

Top 40 regions, 2022

Luxembourg: 53.92 EURLuxembourg53.92Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest: 52.73 EURRégion de Bruxelles-Capitale/ Bru…52.73Hovedstaden: 49.34 EURHovedstaden49.34Prov. Vlaams-Brabant: 49.34 EURProv. Vlaams-Brabant49.34Prov. Brabant wallon: 48.82 EURProv. Brabant wallon48.82Ile-de-France: 46.8 EURIle-de-France46.8Oberbayern: 45.79 EUROberbayern45.79Prov. Antwerpen: 45.51 EURProv. Antwerpen45.51Noord-Holland: 45.2 EURNoord-Holland45.2Stuttgart: 43.77 EURStuttgart43.77Hamburg: 43.44 EURHamburg43.44Darmstadt: 43.41 EURDarmstadt43.41Midtjylland: 43.15 EURMidtjylland43.15Utrecht: 42.77 EURUtrecht42.77Prov. Oost-Vlaanderen: 42.62 EURProv. Oost-Vlaanderen42.62Syddanmark: 42.51 EURSyddanmark42.51Nordjylland: 41.55 EURNordjylland41.55Prov. Liège: 41.52 EURProv. Liège41.52Sjælland: 41.27 EURSjælland41.27Prov. Namur: 40.95 EURProv. Namur40.95Mittelfranken: 40.76 EURMittelfranken40.76Zuid-Holland: 40.74 EURZuid-Holland40.74Karlsruhe: 40.72 EURKarlsruhe40.72Berlin: 40.54 EURBerlin40.54Braunschweig: 40.3 EURBraunschweig40.3Prov. Hainaut: 40.24 EURProv. Hainaut40.24Prov. Limburg (BE): 39.9 EURProv. Limburg (BE)39.9Köln: 39.71 EURKöln39.71Düsseldorf: 39.61 EURDüsseldorf39.61Prov. West-Vlaanderen: 39.48 EURProv. West-Vlaanderen39.48Wien: 39.38 EURWien39.38Tübingen: 39.26 EURTübingen39.26Rheinhessen-Pfalz: 39.07 EURRheinhessen-Pfalz39.07Prov. Luxembourg (BE): 38.64 EURProv. Luxembourg (BE)38.64Groningen: 38.58 EURGroningen38.58Noord-Brabant: 38.44 EURNoord-Brabant38.44Bremen: 38.39 EURBremen38.39Kassel: 38.32 EURKassel38.32Gießen: 38.16 EURGießen38.16Unterfranken: 38.1 EURUnterfranken38.1
EUR. Source: Invokely calculation with data from Eurostat. Retrieved 2026-10-12.

Full ranking

RankRegions2022
EUR
Change on 2021
1Luxembourg53.92+4.7%
2Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest52.73+4.5%
3Hovedstaden49.34+2.5%
4Prov. Vlaams-Brabant49.34+4.3%
5Prov. Brabant wallon48.82+4.8%
6Ile-de-France Estimated46.8+2.7%
7Oberbayern Estimated45.79+5.2%
8Prov. Antwerpen45.51+4.8%
9Noord-Holland45.2+3.4%
10Stuttgart Estimated43.77+3.2%
11Hamburg Estimated43.44+4.1%
12Darmstadt Estimated43.41+2.3%
13Midtjylland43.15+3.1%
14Utrecht42.77+3.5%
15Prov. Oost-Vlaanderen42.62+5%
16Syddanmark42.51+3%
17Nordjylland41.55+3%
18Prov. Liège41.52+6.2%
19Sjælland41.27+2.2%
20Prov. Namur40.95+5.8%
21Mittelfranken Estimated40.76+4.6%
22Zuid-Holland40.74+4.1%
23Karlsruhe Estimated40.72+3.1%
24Berlin Estimated40.54+4.7%
25Braunschweig Estimated40.3+4%
26Prov. Hainaut40.24+5.8%
27Prov. Limburg (BE)39.9+4.7%
28Köln Estimated39.71+3.4%
29Düsseldorf Estimated39.61+3.2%
30Prov. West-Vlaanderen39.48+4.9%
31Wien39.38+4.5%
32Tübingen Estimated39.26+3.1%
33Rheinhessen-Pfalz Estimated39.07+6.1%
34Prov. Luxembourg (BE)38.64+6.8%
35Groningen38.58+3.6%
36Noord-Brabant38.44+3.7%
37Bremen Estimated38.39+3.1%
38Kassel Estimated38.32+2.7%
39Gießen Estimated38.16+3.2%
40Unterfranken Estimated38.1+4.7%
41Schwaben Estimated38.03+4.9%
42Oberpfalz Estimated37.8+4.7%
43Helsinki-Uusimaa37.77+3.3%
44Stockholm37.65-3.5%
45Freiburg Estimated37.39+3.4%
46Vorarlberg37.34+4%
47Eastern and Midland37.32+1.9%
48Gelderland37.12+3.5%
49Oberfranken Estimated36.89+5.1%
50Limburg (NL)36.82+3.7%
51Zeeland36.75+2.9%
52Niederbayern Estimated36.71+5.5%
53Hannover Estimated36.69+2.6%
54Overijssel36.66+4%
55Oberösterreich36.58+5.2%
56Arnsberg Estimated36.31+3.1%
57Friesland (NL)36.18+3.5%
58Saarland Estimated36.1+4.5%
59Drenthe36.07+3.4%
60Corse Estimated35.94+4.7%
61Flevoland35.88+4.1%
62Rhône-Alpes Estimated35.76+2.8%
63Salzburg35.7+6%
64Detmold Estimated35.63+3.2%
65Münster Estimated35.36+2.9%
66Provence-Alpes-Côte d’Azur Estimated35.27+3.6%
67Tirol34.93+4.6%
68Midi-Pyrénées Estimated34.9+3.4%
69Koblenz Estimated34.82+3.8%
70Alsace Estimated34.78+2.7%
71Åland34.75+1.8%
72Mayotte Estimated34.67+5.5%
73Guadeloupe Estimated34.62-0%
74Steiermark34.42+5.7%
75Niederösterreich34.29+5.1%
76Kärnten34.27+4.5%
77Nord-Pas de Calais Estimated34.03+2.6%
78Leipzig Estimated33.95+6.3%
79Haute-Normandie Estimated33.91+2.5%
80Trier Estimated33.81+3%
81Schleswig-Holstein Estimated33.79+4.9%
82Aquitaine Estimated33.44+3.2%
83Southern33.37-1.9%
84Martinique Estimated33.33-1.5%
85Pays de la Loire Estimated33.29+3.2%
86Dresden Estimated33.11+6.2%
87Weser-Ems Estimated32.95+4%
88Languedoc-Roussillon Estimated32.89+2.5%
89Bourgogne Estimated32.87+2.6%
90Lorraine Estimated32.81+3%
91Lüneburg Estimated32.78+3.7%
92Bretagne Estimated32.77+2.7%
93Auvergne Estimated32.76+3%
94Centre - Val de Loire Estimated32.76+2.5%
95Picardie Estimated32.72+3.2%
96Franche-Comté Estimated32.59+1%
97Länsi-Suomi32.54+3.2%
98Champagne-Ardenne Estimated32.54+3.2%
99Limousin Estimated32.42-1.7%
100Brandenburg Estimated32.29+6.3%
101Basse-Normandie Estimated32.14+3.2%
102La Réunion Estimated32.13+4.1%
103Poitou-Charentes Estimated31.91+3%
104Etelä-Suomi31.83+3.4%
105Thüringen Estimated31.72+6.7%
106Guyane Estimated31.52-1.1%
107Northern and Western31.31+2.8%
108Sachsen-Anhalt Estimated31.11+6.3%
109Chemnitz Estimated31.11+6.2%
110Pohjois- ja Itä-Suomi31.03+3%
111Västsverige30.81-2.1%
112Mecklenburg-Vorpommern Estimated30.78+5.8%
113Burgenland30.75+4.2%
114Sydsverige30.72-2.3%
115Provincia Autonoma di Bolzano/Bozen30.3+1.3%
116Övre Norrland29.64-1.1%
117Östra Mellansverige29.45-1.4%
118Mellersta Norrland28.53-1.9%
119Norra Mellansverige28.45-1.7%
120Lombardia28.32+2.3%
121Småland med öarna28.32-1.9%
122Basque Country26.88+3.6%
123Lazio26.54+2%
124Community of Madrid26.5+2.7%
125Friuli-Venezia Giulia26.13+1.1%
126Emilia-Romagna26.02+0.9%
127Liguria25.68+2.4%
128Provincia Autonoma di Trento25.66-0.3%
129Piemonte25.58+0.5%
130Veneto24.94+2.2%
131Navarre24.87+3%
132Catalonia24.76+2.8%
133Valle d’Aosta/Vallée d’Aoste24.52-1.1%
134Toscana24.42+2.5%
135Ceuta23.92+4.2%
136Praha23.72+11.6%
137Marche22.94-0.2%
138Melilla22.85+5.2%
139Zahodna Slovenija22.82+5.2%
140Aragon22.74+3.1%
141Abruzzo22.66-0.6%
142Asturias22.57+2.7%
143Umbria22.55+0.2%
144Cantabria22.47+3.7%
144Sardegna22.47+2.6%
146Balearic Islands22.32+2.5%
147Molise22.09+1.1%
148Sicilia22.03+0.2%
149La Rioja21.8+2.1%
150Basilicata21.63-1.3%
151Galicia21.61+3.1%
152Valencian Community21.48+2.8%
153Castile and León21.36+2.6%
154Campania21.03+0.9%
155Calabria20.96+0.3%
156Puglia20.88-0.7%
157Castilla-La Mancha20.78+3.7%
158Andalusia20.7+3.7%
159Canary Islands20.29+2.4%
160Vzhodna Slovenija20.09+3.9%
161Extremadura19.8+4.1%
162Bratislavský kraj19.72+5.2%
163Region of Murcia19.57+2.7%
164Malta17.63+6.7%
165Eesti16.94+8.8%
166Sostinės regionas16.87+14.7%
167Kýpros16.68+6.1%
168Grande Lisboa16.61+3.2%
169Střední Čechy15.06+7.8%
170Jihovýchod14.75+6.6%
171Warszawski stołeczny14.18+10.8%
172Moravskoslezsko13.98+6.6%
173Střední Morava13.77+10.1%
174Jihozápad13.68+8.2%
175Península de Setúbal13.68+4.2%
176Severovýchod13.64+6.5%
177Bucureşti-Ilfov13.6+14.3%
178Stredné Slovensko13.51+3.6%
179Região Autónoma da Madeira13.34+3.8%
180Západné Slovensko13.1+4.7%
181Východné Slovensko13.01+3.4%
182Grad Zagreb12.97+11.9%
183Centro (PT)12.96+2.7%
184Região Autónoma dos Açores12.95+3.9%
185Norte12.77+3.6%
186Dytiki Makedonia12.57-2.8%
187Alentejo12.5+2.5%
188Oeste e Vale do Tejo12.31+2.1%
189Algarve12.27+3.2%
190Latvija12.2+10.9%
191Severozápad11.98+5.4%
192Peloponnisos11.74+0.8%
193Thessalia11.7-0.5%
194Vidurio ir vakarų Lietuvos regionas11.48+9.9%
195Sterea Elláda11.46-2.4%
196Jadranska Hrvatska11.11+13.1%
197Attiki11.03-0.4%
198Ionia Nisia11.01+2%
199Yugozapaden10.44+15.5%
200Dytiki Elláda10.42+1.1%
201Anatoliki Makedonia, Thraki10.25-0.3%
202Kentriki Makedonia10.13+1.3%
203Budapest10.11+6.5%
204Sjeverna Hrvatska10.03+13.7%
205Voreio Aigaio9.84-1%
206Dolnośląskie9.76+10.1%
207Ipeiros9.61-0.8%
208Notio Aigaio9.44+0.5%
209Kriti9.43+1.2%
210Nyugat-Dunántúl9.33+7.5%
211Közép-Dunántúl9.29+6.5%
212Észak-Magyarország9.21+6.2%
213Dél-Alföld9.2+7.9%
214Śląskie9.06+11.5%
215Észak-Alföld9.01+7.7%
216Dél-Dunántúl9+6.2%
217Pest8.99+6.5%
218Małopolskie8.86+10.2%
219Wielkopolskie8.85+12.1%
220Panonska Hrvatska8.7+13%
221Pomorskie8.34+10.5%
222Vest8.28+15.4%
223Centru8.25+15.8%
224Łódzkie8.15+7.6%
225Opolskie8.01+12.8%
226Mazowiecki regionalny7.9+10.4%
227Podlaskie7.72+11.6%
228Nord-Vest7.57+19%
229Kujawsko-pomorskie7.53+7.8%
230Severoiztochen7.44+13.8%
231Lubelskie7.28+7.4%
232Podkarpackie7.25+8.2%
233Sud-Est7.14+14.5%
234Sud-Vest Oltenia7.14+12.2%
235Lubuskie7.12+8.3%
236Zachodniopomorskie7.07+8%
237Yugoiztochen7.01+11.7%
238Świętokrzyskie6.96+7.7%
239Severozapaden6.86+13.8%
240Yuzhen tsentralen6.78+11.9%
241Sud-Muntenia6.77+15.8%
242Severen tsentralen6.65+11.5%
243Warmińsko-mazurskie6.56+10%
244Nord-Est6.17+11.8%

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, 2022) [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, 2022. 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, 2022. 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, 2022 [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_2022,
  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, 2022}},
  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=2022. 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, 2022
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=2022
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=2022.
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 €53.92 in 2022, according to Eurostat.

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

Nord-Est, with €6.17 in 2022.

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.

Compensation of employees per hour worked: other rankings

EU regions (NUTS 2): more rankings