Most long-term unemployment in Germany
Advertisement
English Deutsch
The 50 districts in Germany with the highest share of the unemployed out of work over a year, and the 50 with the lowest, out of 400 with a published figure.
Most long-term unemployment
| District | State | Postal code | Share of the unemployed out of work over a year | |
|---|---|---|---|---|
| 1 | Mülheim an der Ruhr | North Rhine-Westphalia | 45473 | 55.5 % |
| 2 | Uckermark | Brandenburg | 16307 | 54.2 % |
| 3 | Recklinghausen | North Rhine-Westphalia | 45711 | 52.2 % |
| 4 | Oder-Spree | Brandenburg | 15566 | 50.9 % |
| 5 | Solingen | North Rhine-Westphalia | 42657 | 50.7 % |
| 6 | Hagen | North Rhine-Westphalia | 58091 | 50.3 % |
| 7 | Krefeld | North Rhine-Westphalia | 47802 | 50.1 % |
| 8 | Köln | North Rhine-Westphalia | 50767 | 49.9 % |
| 9 | Bielefeld | North Rhine-Westphalia | 33609 | 49.6 % |
| 10 | Hamm | North Rhine-Westphalia | 59065 | 49.4 % |
| 11 | Oberhausen | North Rhine-Westphalia | 46117 | 49.1 % |
| 12 | Mansfeld-Südharz | Saxony-Anhalt | 06347 | 48.9 % |
| 13 | Wiesbaden | Hesse | 65182 | 48.3 % |
| 14 | Görlitz | Saxony | 02797 | 48.2 % |
| 15 | Heidekreis | Lower Saxony | 29646 | 48.2 % |
| 16 | Region Hannover | Lower Saxony | 30622 | 47.3 % |
| 17 | Bonn | North Rhine-Westphalia | 53170 | 47.2 % |
| 18 | Gelsenkirchen | North Rhine-Westphalia | 45886 | 47.2 % |
| 19 | Dortmund | North Rhine-Westphalia | 44147 | 47.0 % |
| 20 | Lüchow-Dannenberg | Lower Saxony | 29479 | 46.8 % |
| 21 | Düren | North Rhine-Westphalia | 52391 | 46.6 % |
| 22 | Mönchengladbach | North Rhine-Westphalia | 41169 | 46.6 % |
| 23 | Offenbach am Main | Hesse | 63065 | 46.2 % |
| 24 | Essen | North Rhine-Westphalia | 45131 | 46.0 % |
| 25 | Saarlouis | Saarland | 66793 | 45.9 % |
| 26 | Göttingen | Lower Saxony | 37124 | 45.8 % |
| 27 | Hochtaunuskreis | Hesse | 61346 | 45.8 % |
| 28 | Lippe | North Rhine-Westphalia | 32754 | 45.4 % |
| 29 | Nordsachsen | Saxony | 04774 | 45.4 % |
| 30 | Darmstadt-Dieburg | Hesse | 64401 | 45.3 % |
| 31 | Wuppertal | North Rhine-Westphalia | 42271 | 45.3 % |
| 32 | Kleve | North Rhine-Westphalia | 47608 | 45.1 % |
| 33 | Oberspreewald-Lausitz | Brandenburg | 01994 | 45.1 % |
| 34 | Bremen | Bremen | 28219 | 44.8 % |
| 35 | Schleswig-Flensburg | Schleswig-Holstein | 24884 | 44.8 % |
| 36 | Bautzen | Saxony | 02621 | 44.6 % |
| 37 | Münster | North Rhine-Westphalia | 48135 | 44.6 % |
| 38 | Städteregion Aachen | North Rhine-Westphalia | 52078 | 44.6 % |
| 39 | Emden | Lower Saxony | 26723 | 44.4 % |
| 40 | Märkischer Kreis | North Rhine-Westphalia | 58640 | 44.4 % |
| 41 | Duisburg | North Rhine-Westphalia | 47167 | 44.3 % |
| 42 | Helmstedt | Lower Saxony | 38379 | 44.3 % |
| 43 | Meißen | Saxony | 01609 | 44.3 % |
| 44 | Rhein-Erft-Kreis | North Rhine-Westphalia | 50259 | 44.1 % |
| 45 | Euskirchen | North Rhine-Westphalia | 53919 | 43.9 % |
| 46 | Pirmasens | Rhineland-Palatinate | 66953 | 43.8 % |
| 47 | Bochum | North Rhine-Westphalia | 44793 | 43.6 % |
| 48 | Rheinisch-Bergischer Kreis | North Rhine-Westphalia | 51463 | 43.6 % |
| 49 | Wilhelmshaven | Lower Saxony | 26386 | 43.6 % |
| 50 | Odenwaldkreis | Hesse | 64739 | 43.4 % |
Advertisement
Least long-term unemployment
| District | State | Postal code | Share of the unemployed out of work over a year | |
|---|---|---|---|---|
| 1 | Pfaffenhofen a.d.Ilm | Bavaria | 85290 | 14.5 % |
| 2 | Eichstätt | Bavaria | 85122 | 15.0 % |
| 3 | Bad Tölz-Wolfratshausen | Bavaria | 83623 | 17.0 % |
| 4 | Dachau | Bavaria | 85247 | 17.6 % |
| 5 | Kitzingen | Bavaria | 97342 | 18.6 % |
| 6 | Lindau (Bodensee) | Bavaria | 88161 | 18.6 % |
| 7 | Neuburg-Schrobenhausen | Bavaria | 86643 | 18.8 % |
| 8 | Landsberg am Lech | Bavaria | 86926 | 19.1 % |
| 9 | Main-Spessart | Bavaria | 97828 | 19.1 % |
| 10 | Neu-Ulm | Bavaria | 89281 | 19.1 % |
| 11 | Regensburg, Landkreis | Bavaria | 93107 | 19.5 % |
| 12 | Erding | Bavaria | 85456 | 19.6 % |
| 13 | Garmisch-Partenkirchen | Bavaria | 82475 | 19.9 % |
| 14 | Günzburg | Bavaria | 89335 | 19.9 % |
| 15 | Neumarkt i.d.OPf. | Bavaria | 92355 | 19.9 % |
| 16 | Rhein-Lahn-Kreis | Rhineland-Palatinate | 56355 | 20.0 % |
| 17 | Ebersberg | Bavaria | 85614 | 20.2 % |
| 18 | Augsburg, Landkreis | Bavaria | 86494 | 20.3 % |
| 19 | Cham | Bavaria | 93468 | 20.5 % |
| 20 | Kempten (Allgäu) | Bavaria | 87437 | 20.5 % |
| 21 | Donau-Ries | Bavaria | 86703 | 20.7 % |
| 22 | Dillingen a.d.Donau | Bavaria | 89429 | 21.5 % |
| 23 | Freyung-Grafenau | Bavaria | 94160 | 21.6 % |
| 24 | Regen | Bavaria | 94253 | 21.6 % |
| 25 | Ulm | Baden-Württemberg | 89073 | 21.6 % |
| 26 | Aichach-Friedberg | Bavaria | 86510 | 21.7 % |
| 27 | Passau, Landkreis | Bavaria | 94148 | 22.6 % |
| 28 | Rottweil | Baden-Württemberg | 78662 | 22.8 % |
| 29 | Straubing-Bogen | Bavaria | 94357 | 22.9 % |
| 30 | Miltenberg | Bavaria | 63924 | 23.0 % |
| 31 | Traunstein | Bavaria | 83349 | 23.1 % |
| 32 | Amberg-Sulzbach | Bavaria | 92265 | 23.2 % |
| 33 | Bayreuth | Bavaria | 95445 | 23.2 % |
| 34 | Starnberg | Bavaria | 82317 | 23.2 % |
| 35 | Unterallgäu | Bavaria | 87751 | 23.2 % |
| 36 | Alb-Donau-Kreis | Baden-Württemberg | 89188 | 23.3 % |
| 37 | Ostallgäu | Bavaria | 87650 | 23.3 % |
| 38 | Rosenheim, Landkreis | Bavaria | 83135 | 23.3 % |
| 39 | Bamberg, Landkreis | Bavaria | 96158 | 23.4 % |
| 40 | Deggendorf | Bavaria | 94541 | 23.6 % |
| 41 | Nürnberger Land | Bavaria | 91227 | 23.6 % |
| 42 | Schwandorf | Bavaria | 92539 | 23.8 % |
| 43 | Ansbach | Bavaria | 91520 | 23.9 % |
| 44 | Emmendingen | Baden-Württemberg | 79336 | 23.9 % |
| 45 | Erlangen-Höchstadt | Bavaria | 91096 | 23.9 % |
| 46 | Kronach | Bavaria | 96349 | 23.9 % |
| 47 | Roth | Bavaria | 91166 | 24.0 % |
| 48 | Bodenseekreis | Baden-Württemberg | 88097 | 24.1 % |
| 49 | Hof | Bavaria | 95028 | 24.1 % |
| 50 | Miesbach | Bavaria | 83707 | 24.1 % |
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