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 2019, at €47.86. Severen tsentralen had the lowest, at €4.77. The median was €24.77 and the figure for the European Union (27) was €24.17. Source: Eurostat.
Top 40 regions, 2019
Full ranking
| Rank | Regions | 2019 | Change on 2018 |
|---|---|---|---|
| 1 | Luxembourg | 47.86 | +2.3% |
| 2 | Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest | 47.33 | +2.1% |
| 3 | Hovedstaden | 45.42 | +1.5% |
| 4 | Prov. Vlaams-Brabant | 44.62 | +2.7% |
| 5 | Prov. Brabant wallon | 44.33 | +2.5% |
| 6 | Ile-de-France | 43.75 | -1.3% |
| 7 | Oberbayern | 41.41 | +3.7% |
| 8 | Prov. Antwerpen | 41.05 | +2.4% |
| 9 | Stuttgart | 40.52 | +3.2% |
| 10 | Darmstadt | 40.38 | +3.5% |
| 11 | Midtjylland | 39.82 | +1.9% |
| 12 | Hamburg | 39.81 | +3.8% |
| 13 | Noord-Holland | 39.71 | +3.1% |
| 14 | Syddanmark | 39.27 | +1.8% |
| 15 | Utrecht | 38.44 | +2.8% |
| 16 | Nordjylland | 38.37 | +1.7% |
| 17 | Sjælland | 38.35 | +1.7% |
| 18 | Prov. Oost-Vlaanderen | 38.34 | +2% |
| 19 | Braunschweig | 37.71 | +4.1% |
| 20 | Karlsruhe | 37.47 | +4% |
| 21 | Prov. Liège | 37.26 | +2.3% |
| 22 | Mittelfranken | 37.25 | +3.5% |
| 23 | Prov. Namur | 36.95 | +0.6% |
| 24 | Zuid-Holland | 36.84 | +2.6% |
| 25 | Düsseldorf | 36.82 | +3.4% |
| 26 | Köln | 36.81 | +3.4% |
| 27 | Tübingen | 36.13 | +3.8% |
| 28 | Prov. Hainaut | 36.03 | +1.6% |
| 29 | Bremen | 35.93 | +2.2% |
| 30 | Prov. Limburg (BE) | 35.9 | +2.2% |
| 31 | Kassel | 35.72 | +3.3% |
| 32 | Prov. West-Vlaanderen | 35.56 | +2.2% |
| 33 | Gießen | 35.29 | +3% |
| 34 | Berlin | 35.25 | +5.3% |
| 35 | Rheinhessen-Pfalz | 35.23 | +3.5% |
| 36 | Groningen | 34.9 | +2.5% |
| 37 | Schwaben | 34.77 | +3.6% |
| 38 | Unterfranken | 34.75 | +3.8% |
| 39 | Oberpfalz | 34.64 | +3% |
| 40 | Helsinki-Uusimaa | 34.57 | +2.6% |
| 41 | Noord-Brabant | 34.5 | +2.6% |
| 42 | Prov. Luxembourg (BE) | 34.4 | +1.9% |
| 43 | Wien | 34.38 | +1.4% |
| 44 | Freiburg | 34.33 | +3.9% |
| 45 | Hannover | 34.1 | +3.7% |
| 46 | Arnsberg | 33.87 | +3.1% |
| 47 | Stockholm | 33.85 | +0.9% |
| 48 | Rhône-Alpes | 33.63 | -0.3% |
| 49 | Guadeloupe | 33.62 | -3.9% |
| 50 | Gelderland | 33.57 | +2.7% |
| 51 | Oberfranken | 33.49 | +3.9% |
| 52 | Zeeland | 33.48 | +2.7% |
| 53 | Niederbayern | 33.47 | +3.9% |
| 54 | Corse | 33.34 | -1.2% |
| 55 | Saarland | 33.32 | +2.6% |
| 56 | Limburg (NL) | 33.3 | +3.3% |
| 57 | Overijssel | 33.12 | +2.5% |
| 58 | Provence-Alpes-Côte d’Azur | 33.07 | -0.4% |
| 59 | Drenthe | 32.97 | +2.4% |
| 60 | Detmold | 32.94 | +3.1% |
| 61 | Eastern and Midland | 32.89 | +3.5% |
| 62 | Midi-Pyrénées | 32.85 | +0.8% |
| 63 | Vorarlberg | 32.8 | +3.1% |
| 64 | Alsace | 32.76 | 0% |
| 65 | Friesland (NL) | 32.75 | +2.9% |
| 66 | Münster | 32.71 | +3% |
| 67 | Martinique | 32.67 | -3.5% |
| 68 | Flevoland | 32.63 | +2.6% |
| 69 | Åland | 32.54 | +5.5% |
| 70 | Haute-Normandie | 32.15 | -1.1% |
| 71 | Oberösterreich | 32.03 | +2.6% |
| 72 | Nord-Pas de Calais | 31.96 | 0% |
| 73 | Guyane | 31.81 | -16.1% |
| 74 | Koblenz | 31.74 | +4% |
| 75 | Aquitaine | 31.58 | +0.4% |
| 76 | Limousin | 31.44 | +2.9% |
| 77 | Pays de la Loire | 31.07 | +0.3% |
| 78 | La Réunion | 30.99 | +0.1% |
| 79 | Lorraine | 30.92 | +0.4% |
| 80 | Languedoc-Roussillon | 30.86 | -0.6% |
| 81 | Bourgogne | 30.84 | +1.2% |
| 82 | Centre - Val de Loire | 30.82 | +0.1% |
| 83 | Franche-Comté | 30.82 | +0.2% |
| 84 | Trier | 30.82 | +3.7% |
| 85 | Picardie | 30.76 | -0.5% |
| 86 | Auvergne | 30.74 | +0.4% |
| 87 | Schleswig-Holstein | 30.67 | +3.5% |
| 88 | Salzburg | 30.63 | +3.3% |
| 89 | Bretagne | 30.6 | +0.6% |
| 90 | Champagne-Ardenne | 30.52 | +0.9% |
| 91 | Basse-Normandie | 30.35 | +0.1% |
| 92 | Southern | 30.3 | +4.2% |
| 93 | Weser-Ems | 30.2 | +3.4% |
| 94 | Lüneburg | 30.09 | +3.7% |
| 95 | Niederösterreich | 30.06 | +1.2% |
| 96 | Tirol | 30.02 | +2.6% |
| 97 | Steiermark | 29.99 | +2.6% |
| 98 | Länsi-Suomi | 29.86 | +1.2% |
| 99 | Leipzig | 29.84 | +4.5% |
| 100 | Kärnten | 29.77 | +2.2% |
| 101 | Poitou-Charentes | 29.73 | -0.7% |
| 102 | Etelä-Suomi | 29.37 | +1.9% |
| 103 | Dresden | 28.98 | +4.5% |
| 104 | Pohjois- ja Itä-Suomi | 28.79 | +2.9% |
| 105 | Brandenburg | 28.27 | +4.5% |
| 106 | Västsverige | 28.22 | +0.5% |
| 107 | Provincia Autonoma di Bolzano/Bozen | 28.21 | +3.4% |
| 108 | Northern and Western | 28.13 | +3.9% |
| 109 | Sydsverige | 27.89 | +1% |
| 110 | Thüringen | 27.87 | +4.8% |
| 111 | Mayotte | 27.55 | -1.6% |
| 112 | Chemnitz | 27.52 | +5% |
| 113 | Sachsen-Anhalt | 27.25 | +4.4% |
| 114 | Mecklenburg-Vorpommern | 27.18 | +5.2% |
| 115 | Östra Mellansverige | 27.1 | -0.8% |
| 116 | Övre Norrland | 27.03 | +1.6% |
| 117 | Burgenland | 26.53 | +1.4% |
| 118 | Mellersta Norrland | 26.38 | +1% |
| 119 | Norra Mellansverige | 26.37 | +0.8% |
| 120 | Lombardia | 26.2 | +0.8% |
| 121 | Småland med öarna | 26.2 | +0.8% |
| 122 | Emilia-Romagna | 24.77 | +1.3% |
| 123 | Valle d’Aosta/Vallée d’Aoste | 24.76 | +2.3% |
| 124 | Friuli-Venezia Giulia | 24.65 | +2.3% |
| 125 | Provincia Autonoma di Trento | 24.59 | +3.4% |
| 126 | Piemonte | 24.57 | +2% |
| 127 | Lazio | 24.55 | +1.1% |
| 128 | Basque Country | 24.33 | +5.2% |
| 129 | Liguria | 23.71 | +0.2% |
| 130 | Community of Madrid | 23.71 | +5% |
| 131 | Veneto | 23.52 | +3% |
| 132 | Toscana | 23.18 | +2.5% |
| 133 | Ceuta | 23.07 | +7.5% |
| 134 | Navarre | 23.06 | +4% |
| 135 | Marche | 22.23 | +2.7% |
| 136 | Catalonia | 22.09 | +4.3% |
| 137 | Umbria | 22.08 | +2.4% |
| 138 | Abruzzo | 21.88 | +1.4% |
| 139 | Melilla | 21.88 | +2.8% |
| 140 | Basilicata | 21.66 | +4.6% |
| 141 | Sicilia | 21.5 | +1.9% |
| 142 | Sardegna | 21.36 | +2.4% |
| 143 | Molise | 21.14 | +0.7% |
| 144 | Puglia | 20.77 | +3% |
| 145 | Asturias | 20.64 | +5.2% |
| 146 | Campania | 20.62 | +4% |
| 147 | Cantabria | 20.58 | +4.9% |
| 148 | Aragon | 20.55 | +4.3% |
| 149 | Balearic Islands | 20.5 | +4.1% |
| 150 | Calabria | 19.98 | +3.1% |
| 151 | Castile and León | 19.72 | +5% |
| 152 | La Rioja | 19.61 | +3.7% |
| 153 | Zahodna Slovenija | 19.52 | +5.1% |
| 154 | Valencian Community | 19.34 | +4.1% |
| 155 | Galicia | 19.32 | +4.4% |
| 156 | Praha | 19.14 | +8.6% |
| 157 | Castilla-La Mancha | 18.86 | +4.4% |
| 158 | Andalusia | 18.73 | +4.8% |
| 159 | Canary Islands | 18.6 | +4.5% |
| 160 | Extremadura | 17.99 | +4.8% |
| 161 | Region of Murcia | 17.49 | +3.5% |
| 162 | Vzhodna Slovenija | 17.21 | +5.6% |
| 163 | Bratislavský kraj | 16.12 | +7.8% |
| 164 | Kýpros | 15.08 | +5.1% |
| 165 | Grande Lisboa | 14.66 | +4% |
| 166 | Malta | 14.39 | +0.3% |
| 167 | Warszawski stołeczny | 13.57 | +0.6% |
| 168 | Dytiki Makedonia | 13.2 | -3.4% |
| 169 | Eesti | 13.1 | +8.6% |
| 170 | Península de Setúbal | 12.28 | +4.2% |
| 171 | Střední Čechy | 12.1 | +12.5% |
| 172 | Sostinės regionas | 12.05 | +16% |
| 173 | Região Autónoma da Madeira | 11.96 | +6.8% |
| 174 | Jihovýchod | 11.57 | +5.4% |
| 175 | Região Autónoma dos Açores | 11.52 | +4.5% |
| 176 | Centro (PT) | 11.38 | +3.6% |
| 177 | Alentejo | 11.3 | +3.2% |
| 178 | Jihozápad | 11.27 | +4% |
| 179 | Moravskoslezsko | 11.2 | +5.7% |
| 180 | Severovýchod | 11.11 | +6% |
| 181 | Norte | 11.07 | +5.9% |
| 182 | Stredné Slovensko | 10.95 | +7.8% |
| 183 | Bucureşti-Ilfov | 10.93 | +7.9% |
| 184 | Algarve | 10.88 | +7.2% |
| 185 | Oeste e Vale do Tejo | 10.87 | +5.4% |
| 186 | Thessalia | 10.87 | +1.8% |
| 187 | Střední Morava | 10.86 | +7.2% |
| 188 | Západné Slovensko | 10.72 | +7.4% |
| 189 | Peloponnisos | 10.69 | +1.6% |
| 190 | Attiki | 10.67 | +2.2% |
| 191 | Grad Zagreb | 10.66 | +3% |
| 192 | Ionia Nisia | 10.65 | +0.2% |
| 193 | Východné Slovensko | 10.54 | +8.5% |
| 194 | Sterea Elláda | 10.46 | -1.4% |
| 195 | Severozápad | 9.87 | +9.5% |
| 196 | Dytiki Elláda | 9.73 | +1% |
| 197 | Kentriki Makedonia | 9.71 | +0.7% |
| 198 | Anatoliki Makedonia, Thraki | 9.67 | -1.8% |
| 199 | Latvija | 9.64 | +5.3% |
| 200 | Voreio Aigaio | 9.4 | +1.2% |
| 201 | Jadranska Hrvatska | 9.28 | +2.2% |
| 202 | Notio Aigaio | 9.19 | +1.8% |
| 203 | Budapest | 9.17 | +7% |
| 204 | Ipeiros | 9.11 | +1.9% |
| 205 | Vidurio ir vakarų Lietuvos regionas | 8.64 | +6.5% |
| 206 | Közép-Dunántúl | 8.6 | +5.9% |
| 207 | Kriti | 8.48 | +2.1% |
| 208 | Észak-Magyarország | 8.4 | +6.2% |
| 209 | Sjeverna Hrvatska | 8.38 | +0.8% |
| 210 | Nyugat-Dunántúl | 8.33 | +7.2% |
| 211 | Dél-Alföld | 8.23 | +7.8% |
| 212 | Śląskie | 8.22 | +6.6% |
| 213 | Dél-Dunántúl | 8.21 | +8.4% |
| 214 | Dolnośląskie | 8.16 | -3.7% |
| 215 | Észak-Alföld | 8.08 | +6.7% |
| 216 | Małopolskie | 8.07 | +4.3% |
| 217 | Pest | 7.97 | +6.7% |
| 218 | Wielkopolskie | 7.86 | +4.9% |
| 219 | Yugozapaden | 7.65 | +7% |
| 220 | Pomorskie | 7.47 | +2.1% |
| 221 | Łódzkie | 7.28 | +12.9% |
| 222 | Panonska Hrvatska | 7.22 | +1.4% |
| 223 | Vest | 6.73 | +9.4% |
| 224 | Centru | 6.71 | +6.8% |
| 225 | Opolskie | 6.62 | +1.6% |
| 226 | Kujawsko-pomorskie | 6.53 | +4.6% |
| 227 | Podlaskie | 6.49 | +3.2% |
| 228 | Zachodniopomorskie | 6.45 | +6.5% |
| 229 | Podkarpackie | 6.44 | +4.9% |
| 230 | Mazowiecki regionalny | 6.44 | +6.1% |
| 231 | Lubuskie | 6.44 | +4.2% |
| 232 | Świętokrzyskie | 6.43 | +8.7% |
| 233 | Lubelskie | 6.42 | +6.8% |
| 234 | Nord-Vest | 6.15 | +11.1% |
| 235 | Sud-Vest Oltenia | 5.87 | +4.8% |
| 236 | Sud-Est | 5.87 | +9% |
| 237 | Warmińsko-mazurskie | 5.81 | +4.6% |
| 238 | Nord-Est | 5.52 | +7.1% |
| 239 | Sud-Muntenia | 5.49 | +9.7% |
| 240 | Severoiztochen | 5.38 | +7.9% |
| 241 | Yugoiztochen | 5.12 | +1.7% |
| 242 | Yuzhen tsentralen | 4.85 | +7.4% |
| 243 | Severozapaden | 4.82 | +6.9% |
| 244 | Severen tsentralen | 4.77 | +7.8% |
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
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, 2019) [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, 2019. 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, 2019. 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, 2019 [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_2019,
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, 2019}},
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=2019. 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, 2019
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=2019
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=2019.
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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Which region has the highest compensation of employees per hour worked?
Luxembourg, with €47.86 in 2019, according to Eurostat.
Which region has the lowest compensation of employees per hour worked?
Severen tsentralen, with €4.77 in 2019.
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.