Most unemployment among over-55s in Germany
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The 50 districts in Germany with the highest share of the unemployed aged 55 to 64, and the 50 with the lowest, out of 400 with a published figure.
Most unemployment among over-55s
| District | State | Postal code | Share of the unemployed aged 55 to 64 | |
|---|---|---|---|---|
| 1 | Haßberge | Bavaria | 97478 | 38.9 % |
| 2 | Bamberg, Landkreis | Bavaria | 96158 | 38.6 % |
| 3 | Rhön-Grabfeld | Bavaria | 97645 | 38.6 % |
| 4 | Freyung-Grafenau | Bavaria | 94160 | 38.5 % |
| 5 | Lichtenfels | Bavaria | 96250 | 38.4 % |
| 6 | Bayreuth, Landkreis | Bavaria | 95488 | 37.9 % |
| 7 | Südwestpfalz | Rhineland-Palatinate | 66978 | 37.6 % |
| 8 | Saale-Orla-Kreis | Thuringia | 07806 | 37.4 % |
| 9 | Schweinfurt, Landkreis | Bavaria | 97508 | 37.3 % |
| 10 | Görlitz | Saxony | 02797 | 37.1 % |
| 11 | Bautzen | Saxony | 02621 | 36.9 % |
| 12 | Dingolfing-Landau | Bavaria | 84183 | 36.9 % |
| 13 | Kulmbach | Bavaria | 95361 | 36.0 % |
| 14 | Kusel | Rhineland-Palatinate | 67742 | 35.9 % |
| 15 | Kronach | Bavaria | 96349 | 35.7 % |
| 16 | Forchheim | Bavaria | 91346 | 35.4 % |
| 17 | Neustadt a.d.Waldnaab | Bavaria | 92705 | 35.3 % |
| 18 | Meißen | Saxony | 01609 | 35.2 % |
| 19 | Greiz | Thuringia | 07950 | 35.1 % |
| 20 | Deggendorf | Bavaria | 94541 | 35.0 % |
| 21 | Oberspreewald-Lausitz | Brandenburg | 01994 | 35.0 % |
| 22 | Tirschenreuth | Bavaria | 95679 | 35.0 % |
| 23 | Miesbach | Bavaria | 83707 | 34.9 % |
| 24 | Straubing-Bogen | Bavaria | 94357 | 34.7 % |
| 25 | Elbe-Elster | Brandenburg | 04924 | 34.6 % |
| 26 | Garmisch-Partenkirchen | Bavaria | 82475 | 34.6 % |
| 27 | Oberallgäu | Bavaria | 87497 | 34.4 % |
| 28 | Roth | Bavaria | 91166 | 34.3 % |
| 29 | Spree-Neiße | Brandenburg | 03139 | 34.3 % |
| 30 | Neckar-Odenwald-Kreis | Baden-Württemberg | 74821 | 34.1 % |
| 31 | Wunsiedel i.Fichtelgebirge | Bavaria | 95615 | 34.1 % |
| 32 | Rhein-Pfalz-Kreis | Rhineland-Palatinate | 67165 | 34.0 % |
| 33 | Aichach-Friedberg | Bavaria | 86510 | 33.9 % |
| 34 | Regen | Bavaria | 94253 | 33.9 % |
| 35 | Cham | Bavaria | 93468 | 33.7 % |
| 36 | Hof, Landkreis | Bavaria | 95188 | 33.7 % |
| 37 | Unterallgäu | Bavaria | 87751 | 33.6 % |
| 38 | Würzburg, Landkreis | Bavaria | 97256 | 33.6 % |
| 39 | Passau, Landkreis | Bavaria | 94148 | 33.5 % |
| 40 | Nordsachsen | Saxony | 04774 | 33.3 % |
| 41 | Amberg-Sulzbach | Bavaria | 92265 | 33.2 % |
| 42 | Landshut, Landkreis | Bavaria | 84137 | 33.2 % |
| 43 | Fürth, Landkreis | Bavaria | 90574 | 33.1 % |
| 44 | Hohenlohekreis | Baden-Württemberg | 74639 | 33.1 % |
| 45 | Coburg, Landkreis | Bavaria | 96472 | 33.0 % |
| 46 | Main-Tauber-Kreis | Baden-Württemberg | 97953 | 33.0 % |
| 47 | Bad Dürkheim | Rhineland-Palatinate | 67271 | 32.9 % |
| 48 | Ostallgäu | Bavaria | 87650 | 32.7 % |
| 49 | Weilheim-Schongau | Bavaria | 82401 | 32.7 % |
| 50 | Ansbach, Landkreis | Bavaria | 91614 | 32.6 % |
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Least unemployment among over-55s
| District | State | Postal code | Share of the unemployed aged 55 to 64 | |
|---|---|---|---|---|
| 1 | Hamm | North Rhine-Westphalia | 59065 | 15.6 % |
| 2 | Essen | North Rhine-Westphalia | 45131 | 16.1 % |
| 3 | Wolfsburg | Lower Saxony | 38439 | 16.3 % |
| 4 | Wiesbaden | Hesse | 65182 | 16.4 % |
| 5 | Bremen | Bremen | 28219 | 16.8 % |
| 6 | Darmstadt | Hesse | 64285 | 16.9 % |
| 7 | Dortmund | North Rhine-Westphalia | 44147 | 16.9 % |
| 8 | Salzgitter | Lower Saxony | 38236 | 16.9 % |
| 9 | Herne | North Rhine-Westphalia | 44629 | 17.1 % |
| 10 | Freiburg im Breisgau | Baden-Württemberg | 79095 | 17.4 % |
| 11 | Wuppertal | North Rhine-Westphalia | 42271 | 17.5 % |
| 12 | Gelsenkirchen | North Rhine-Westphalia | 45886 | 17.6 % |
| 13 | Kassel | Hesse | 34123 | 17.7 % |
| 14 | Kiel | Schleswig-Holstein | 24113 | 17.7 % |
| 15 | Frankfurt am Main | Hesse | 60439 | 17.8 % |
| 16 | Stuttgart | Baden-Württemberg | 70327 | 17.8 % |
| 17 | Berlin | Berlin | 12039 | 17.9 % |
| 18 | Trier | Rhineland-Palatinate | 54290 | 18.2 % |
| 19 | Halle (Saale) | Saxony-Anhalt | 06106 | 18.3 % |
| 20 | Düren | North Rhine-Westphalia | 52391 | 18.5 % |
| 21 | Leipzig | Saxony | 04207 | 18.5 % |
| 22 | Bremerhaven | Bremen | 27574 | 18.7 % |
| 23 | Emden | Lower Saxony | 26723 | 18.7 % |
| 24 | Flensburg | Schleswig-Holstein | 24937 | 18.8 % |
| 25 | Hamburg | Hamburg | 22102 | 18.8 % |
| 26 | Oldenburg (Oldb) | Lower Saxony | 26114 | 18.8 % |
| 27 | Gießen | Hesse | 35410 | 18.9 % |
| 28 | Mainz | Rhineland-Palatinate | 55126 | 18.9 % |
| 29 | Bottrop | North Rhine-Westphalia | 46240 | 19.0 % |
| 30 | Main-Kinzig-Kreis | Hesse | 63517 | 19.0 % |
| 31 | Osnabrück | Lower Saxony | 49082 | 19.0 % |
| 32 | Pforzheim | Baden-Württemberg | 75172 | 19.2 % |
| 33 | Solingen | North Rhine-Westphalia | 42657 | 19.2 % |
| 34 | Gifhorn | Lower Saxony | 38479 | 19.3 % |
| 35 | Göttingen | Lower Saxony | 37124 | 19.3 % |
| 36 | Offenbach | Hesse | 63257 | 19.3 % |
| 37 | Regensburg | Bavaria | 93045 | 19.3 % |
| 38 | Marburg-Biedenkopf | Hesse | 35096 | 19.6 % |
| 39 | Worms | Rhineland-Palatinate | 67549 | 19.6 % |
| 40 | Groß-Gerau | Hesse | 64584 | 19.7 % |
| 41 | Köln | North Rhine-Westphalia | 50767 | 19.7 % |
| 42 | Ludwigshafen am Rhein | Rhineland-Palatinate | 67067 | 19.7 % |
| 43 | Neumünster | Schleswig-Holstein | 24536 | 19.7 % |
| 44 | Potsdam | Brandenburg | 14465 | 19.8 % |
| 45 | Region Hannover | Lower Saxony | 30622 | 19.8 % |
| 46 | Oberhausen | North Rhine-Westphalia | 46117 | 19.9 % |
| 47 | Duisburg | North Rhine-Westphalia | 47167 | 20.0 % |
| 48 | Schwerin | Mecklenburg-Vorpommern | 19055 | 20.1 % |
| 49 | Lübeck | Schleswig-Holstein | 23554 | 20.2 % |
| 50 | Ulm | Baden-Württemberg | 89073 | 20.3 % |
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.
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