Highest unemployment in Germany
Advertisement
English Deutsch
The 50 districts in Germany with the highest unemployment rate, and the 50 with the lowest, out of 400 with a published figure.
Highest unemployment
| District | State | Postal code | Unemployment rate | |
|---|---|---|---|---|
| 1 | Gelsenkirchen | North Rhine-Westphalia | 45886 | 14.1 % |
| 2 | Bremerhaven | Bremen | 27574 | 13.3 % |
| 3 | Duisburg | North Rhine-Westphalia | 47167 | 12.2 % |
| 4 | Hagen | North Rhine-Westphalia | 58091 | 11.1 % |
| 5 | Pirmasens | Rhineland-Palatinate | 66953 | 11.0 % |
| 6 | Dortmund | North Rhine-Westphalia | 44147 | 10.9 % |
| 7 | Herne | North Rhine-Westphalia | 44629 | 10.7 % |
| 8 | Wilhelmshaven | Lower Saxony | 26386 | 10.4 % |
| 9 | Oberhausen | North Rhine-Westphalia | 46117 | 10.3 % |
| 10 | Krefeld | North Rhine-Westphalia | 47802 | 10.1 % |
| 11 | Essen | North Rhine-Westphalia | 45131 | 10.0 % |
| 12 | Bremen | Bremen | 28219 | 9.6 % |
| 13 | Delmenhorst | Lower Saxony | 27751 | 9.6 % |
| 14 | Uckermark | Brandenburg | 16307 | 9.6 % |
| 15 | Mansfeld-Südharz | Saxony-Anhalt | 06347 | 9.5 % |
| 16 | Mönchengladbach | North Rhine-Westphalia | 41169 | 9.5 % |
| 17 | Salzgitter | Lower Saxony | 38236 | 9.2 % |
| 18 | Schwerin | Mecklenburg-Vorpommern | 19055 | 8.9 % |
| 19 | Stendal | Saxony-Anhalt | 39596 | 8.9 % |
| 20 | Berlin | Berlin | 12039 | 8.8 % |
| 21 | Regionalverband Saarbrücken | Saarland | 66121 | 8.8 % |
| 22 | Wuppertal | North Rhine-Westphalia | 42271 | 8.8 % |
| 23 | Vorpommern-Rügen | Mecklenburg-Vorpommern | 18465 | 8.7 % |
| 24 | Bochum | North Rhine-Westphalia | 44793 | 8.6 % |
| 25 | Köln | North Rhine-Westphalia | 50767 | 8.6 % |
| 26 | Halle (Saale) | Saxony-Anhalt | 06106 | 8.5 % |
| 27 | Ludwigshafen am Rhein | Rhineland-Palatinate | 67067 | 8.4 % |
| 28 | Mecklenburgische Seenplatte | Mecklenburg-Vorpommern | 17159 | 8.4 % |
| 29 | Vorpommern-Greifswald | Mecklenburg-Vorpommern | 17392 | 8.4 % |
| 30 | Offenbach am Main | Hesse | 63065 | 8.3 % |
| 31 | Brandenburg an der Havel | Brandenburg | 14772 | 8.2 % |
| 32 | Emden | Lower Saxony | 26723 | 8.2 % |
| 33 | Magdeburg | Saxony-Anhalt | 39104 | 8.2 % |
| 34 | Mülheim an der Ruhr | North Rhine-Westphalia | 45473 | 8.2 % |
| 35 | Kaiserslautern | Rhineland-Palatinate | 67657 | 8.1 % |
| 36 | Hamm | North Rhine-Westphalia | 59065 | 8.0 % |
| 37 | Bielefeld | North Rhine-Westphalia | 33609 | 7.9 % |
| 38 | Dessau-Roßlau | Saxony-Anhalt | 06846 | 7.9 % |
| 39 | Recklinghausen | North Rhine-Westphalia | 45711 | 7.9 % |
| 40 | Neumünster | Schleswig-Holstein | 24536 | 7.8 % |
| 41 | Flensburg | Schleswig-Holstein | 24937 | 7.7 % |
| 42 | Salzlandkreis | Saxony-Anhalt | 39218 | 7.7 % |
| 43 | Görlitz | Saxony | 02797 | 7.6 % |
| 44 | Lübeck | Schleswig-Holstein | 23554 | 7.6 % |
| 45 | Worms | Rhineland-Palatinate | 67549 | 7.6 % |
| 46 | Frankfurt (Oder) | Brandenburg | 15230 | 7.5 % |
| 47 | Kassel | Hesse | 34123 | 7.5 % |
| 48 | Wiesbaden | Hesse | 65182 | 7.5 % |
| 49 | Frankenthal (Pfalz) | Rhineland-Palatinate | 67227 | 7.4 % |
| 50 | Gera | Thuringia | 07546 | 7.4 % |
Advertisement
Lowest unemployment
| District | State | Postal code | Unemployment rate | |
|---|---|---|---|---|
| 1 | Eichstätt | Bavaria | 85122 | 1.7 % |
| 2 | Main-Spessart | Bavaria | 97828 | 1.8 % |
| 3 | Donau-Ries | Bavaria | 86703 | 1.9 % |
| 4 | Günzburg | Bavaria | 89335 | 1.9 % |
| 5 | Pfaffenhofen a.d.Ilm | Bavaria | 85290 | 1.9 % |
| 6 | Erding | Bavaria | 85456 | 2.0 % |
| 7 | Neumarkt i.d.OPf. | Bavaria | 92355 | 2.0 % |
| 8 | Unterallgäu | Bavaria | 87751 | 2.0 % |
| 9 | Würzburg, Landkreis | Bavaria | 97256 | 2.0 % |
| 10 | Bad Tölz-Wolfratshausen | Bavaria | 83623 | 2.1 % |
| 11 | Biberach | Baden-Württemberg | 88454 | 2.1 % |
| 12 | Ebersberg | Bavaria | 85614 | 2.1 % |
| 13 | Neustadt a.d.Aisch-Bad Windsheim | Bavaria | 91472 | 2.1 % |
| 14 | Neu-Ulm | Bavaria | 89281 | 2.2 % |
| 15 | Neuburg-Schrobenhausen | Bavaria | 86643 | 2.2 % |
| 16 | Roth | Bavaria | 91166 | 2.2 % |
| 17 | Alb-Donau-Kreis | Baden-Württemberg | 89188 | 2.3 % |
| 18 | Bamberg, Landkreis | Bavaria | 96158 | 2.3 % |
| 19 | Dillingen a.d.Donau | Bavaria | 89429 | 2.3 % |
| 20 | Kitzingen | Bavaria | 97342 | 2.3 % |
| 21 | Miesbach | Bavaria | 83707 | 2.3 % |
| 22 | Oberallgäu | Bavaria | 87497 | 2.3 % |
| 23 | Dachau | Bavaria | 85247 | 2.4 % |
| 24 | Eifelkreis Bitburg-Prüm | Rhineland-Palatinate | 54646 | 2.4 % |
| 25 | Erlangen-Höchstadt | Bavaria | 91096 | 2.4 % |
| 26 | Freising | Bavaria | 85391 | 2.4 % |
| 27 | Lindau (Bodensee) | Bavaria | 88161 | 2.4 % |
| 28 | Nürnberger Land | Bavaria | 91227 | 2.4 % |
| 29 | Ostallgäu | Bavaria | 87650 | 2.4 % |
| 30 | Ravensburg | Baden-Württemberg | 88287 | 2.4 % |
| 31 | Regensburg, Landkreis | Bavaria | 93107 | 2.4 % |
| 32 | Rosenheim, Landkreis | Bavaria | 83135 | 2.4 % |
| 33 | Traunstein | Bavaria | 83349 | 2.4 % |
| 34 | Aichach-Friedberg | Bavaria | 86510 | 2.5 % |
| 35 | Ansbach, Landkreis | Bavaria | 91614 | 2.5 % |
| 36 | Landsberg am Lech | Bavaria | 86926 | 2.5 % |
| 37 | Landshut, Landkreis | Bavaria | 84137 | 2.5 % |
| 38 | München, Landkreis | Bavaria | 85577 | 2.5 % |
| 39 | Amberg-Sulzbach | Bavaria | 92265 | 2.6 % |
| 40 | Bodenseekreis | Baden-Württemberg | 88097 | 2.6 % |
| 41 | Dingolfing-Landau | Bavaria | 84183 | 2.6 % |
| 42 | Emmendingen | Baden-Württemberg | 79336 | 2.6 % |
| 43 | Fürth, Landkreis | Bavaria | 90574 | 2.6 % |
| 44 | Grafschaft Bentheim | Lower Saxony | 49824 | 2.6 % |
| 45 | Kelheim | Bavaria | 93339 | 2.6 % |
| 46 | Rottweil | Baden-Württemberg | 78662 | 2.6 % |
| 47 | Schweinfurt, Landkreis | Bavaria | 97508 | 2.6 % |
| 48 | Straubing-Bogen | Bavaria | 94357 | 2.6 % |
| 49 | Weilheim-Schongau | Bavaria | 82401 | 2.6 % |
| 50 | Augsburg, Landkreis | Bavaria | 86494 | 2.7 % |
By state
Baden-Württemberg Bavaria Hesse Lower Saxony North Rhine-Westphalia Rhineland-Palatinate
One row per district. Germany publishes these figures only by Kreis — the rates need a labour force or population estimate that does not exist below district level — so one row covers every postal code inside that district. The postal code shown is one of them. Places whose figure the statistical offices withhold are absent rather than shown as zero.
Advertisement