Fastest growing districts in Germany
Advertisement
English Deutsch
The 50 districts in Germany with the highest population change per 10,000 residents, and the 50 with the lowest, out of 400 with a published figure.
Fastest growing districts
| District | State | Postal code | Population change per 10,000 residents | |
|---|---|---|---|---|
| 1 | Pforzheim | Baden-Württemberg | 75172 | 630.3 |
| 2 | Saarlouis | Saarland | 66793 | 592.3 |
| 3 | Merzig-Wadern | Saarland | 66693 | 548.1 |
| 4 | Flensburg | Schleswig-Holstein | 24937 | 535.4 |
| 5 | Bremerhaven | Bremen | 27574 | 479.3 |
| 6 | Delmenhorst | Lower Saxony | 27751 | 449.3 |
| 7 | Städteregion Aachen | North Rhine-Westphalia | 52078 | 410.3 |
| 8 | Solingen | North Rhine-Westphalia | 42657 | 381.6 |
| 9 | Düren | North Rhine-Westphalia | 52391 | 360.7 |
| 10 | Heilbronn | Baden-Württemberg | 74074 | 335.7 |
| 11 | Grafschaft Bentheim | Lower Saxony | 49824 | 334.2 |
| 12 | Würzburg | Bavaria | 97074 | 331.9 |
| 13 | Gera | Thuringia | 07546 | 330.8 |
| 14 | Wolfsburg | Lower Saxony | 38439 | 318.4 |
| 15 | Minden-Lübbecke | North Rhine-Westphalia | 32427 | 296.5 |
| 16 | Bad Kreuznach | Rhineland-Palatinate | 55590 | 280.9 |
| 17 | Gotha | Thuringia | 99880 | 255.8 |
| 18 | Erfurt | Thuringia | 99091 | 254.5 |
| 19 | Nürnberg | Bavaria | 90353 | 252.5 |
| 20 | Lörrach | Baden-Württemberg | 79597 | 249.0 |
| 21 | Rems-Murr-Kreis | Baden-Württemberg | 71546 | 247.2 |
| 22 | Saarpfalz-Kreis | Saarland | 66440 | 245.7 |
| 23 | Mönchengladbach | North Rhine-Westphalia | 41169 | 239.5 |
| 24 | Bremen | Bremen | 28219 | 237.8 |
| 25 | Oldenburg (Oldb) | Lower Saxony | 26114 | 234.4 |
| 26 | Magdeburg | Saxony-Anhalt | 39104 | 231.6 |
| 27 | Euskirchen | North Rhine-Westphalia | 53919 | 228.8 |
| 28 | Mühldorf a.Inn | Bavaria | 84478 | 227.6 |
| 29 | Hof | Bavaria | 95028 | 226.1 |
| 30 | Oberhausen | North Rhine-Westphalia | 46117 | 211.9 |
| 31 | Dortmund | North Rhine-Westphalia | 44147 | 210.0 |
| 32 | St. Wendel | Saarland | 66636 | 209.5 |
| 33 | Harburg | Lower Saxony | 21279 | 207.5 |
| 34 | Wiesbaden | Hesse | 65182 | 206.4 |
| 35 | Neunkirchen | Saarland | 66564 | 203.1 |
| 36 | Leverkusen | North Rhine-Westphalia | 51371 | 200.0 |
| 37 | Schwerin | Mecklenburg-Vorpommern | 19055 | 194.9 |
| 38 | Neuwied | Rhineland-Palatinate | 56316 | 188.7 |
| 39 | Rhein-Hunsrück-Kreis | Rhineland-Palatinate | 55496 | 188.3 |
| 40 | Freudenstadt | Baden-Württemberg | 72285 | 188.2 |
| 41 | Altenkirchen (Westerwald) | Rhineland-Palatinate | 57580 | 183.6 |
| 42 | Birkenfeld | Rhineland-Palatinate | 55765 | 183.5 |
| 43 | Worms | Rhineland-Palatinate | 67549 | 180.1 |
| 44 | Mainz | Rhineland-Palatinate | 55126 | 180.0 |
| 45 | Teltow-Fläming | Brandenburg | 14980 | 174.4 |
| 46 | Braunschweig | Lower Saxony | 38106 | 173.5 |
| 47 | Remscheid | North Rhine-Westphalia | 42857 | 173.1 |
| 48 | Rhein-Lahn-Kreis | Rhineland-Palatinate | 56355 | 172.3 |
| 49 | Gelsenkirchen | North Rhine-Westphalia | 45886 | 171.4 |
| 50 | Herford | North Rhine-Westphalia | 32120 | 170.3 |
Advertisement
Fastest shrinking districts
| District | State | Postal code | Population change per 10,000 residents | |
|---|---|---|---|---|
| 1 | Trier | Rhineland-Palatinate | 54290 | -708.6 |
| 2 | Landshut | Bavaria | 84026 | -650.2 |
| 3 | Kempten (Allgäu) | Bavaria | 87437 | -590.7 |
| 4 | Holzminden | Lower Saxony | 37635 | -543.5 |
| 5 | Ansbach | Bavaria | 91520 | -525.4 |
| 6 | Südwestpfalz | Rhineland-Palatinate | 66978 | -518.9 |
| 7 | Köln | North Rhine-Westphalia | 50767 | -510.3 |
| 8 | Goslar | Lower Saxony | 38690 | -486.0 |
| 9 | Halle (Saale) | Saxony-Anhalt | 06106 | -472.3 |
| 10 | Vorpommern-Rügen | Mecklenburg-Vorpommern | 18465 | -461.4 |
| 11 | Bamberg | Bavaria | 96050 | -457.0 |
| 12 | Traunstein | Bavaria | 83349 | -439.6 |
| 13 | Cottbus | Brandenburg | 03051 | -438.5 |
| 14 | Celle | Lower Saxony | 29331 | -434.0 |
| 15 | Regensburg | Bavaria | 93045 | -414.5 |
| 16 | Münster | North Rhine-Westphalia | 48135 | -411.4 |
| 17 | Northeim | Lower Saxony | 37547 | -410.8 |
| 18 | Vogelsbergkreis | Hesse | 36326 | -408.7 |
| 19 | Vorpommern-Greifswald | Mecklenburg-Vorpommern | 17392 | -405.3 |
| 20 | Lüneburg | Lower Saxony | 21385 | -397.6 |
| 21 | Mecklenburgische Seenplatte | Mecklenburg-Vorpommern | 17159 | -396.9 |
| 22 | Groß-Gerau | Hesse | 64584 | -377.8 |
| 23 | Lüchow-Dannenberg | Lower Saxony | 29479 | -362.1 |
| 24 | Miesbach | Bavaria | 83707 | -357.1 |
| 25 | Dessau-Roßlau | Saxony-Anhalt | 06846 | -355.9 |
| 26 | Mainz-Bingen | Rhineland-Palatinate | 55409 | -322.7 |
| 27 | Rosenheim, Landkreis | Bavaria | 83135 | -318.0 |
| 28 | Unterallgäu | Bavaria | 87751 | -308.9 |
| 29 | Heidelberg | Baden-Württemberg | 69117 | -305.3 |
| 30 | Kassel, Landkreis | Hesse | 34311 | -304.1 |
| 31 | Bonn | North Rhine-Westphalia | 53170 | -302.2 |
| 32 | Oberallgäu | Bavaria | 87497 | -299.1 |
| 33 | Dachau | Bavaria | 85247 | -293.4 |
| 34 | Wittmund | Lower Saxony | 26465 | -270.7 |
| 35 | Coburg, Landkreis | Bavaria | 96472 | -262.2 |
| 36 | Aschaffenburg, Landkreis | Bavaria | 63828 | -254.4 |
| 37 | Vulkaneifel | Rhineland-Palatinate | 54578 | -253.4 |
| 38 | Hildesheim | Lower Saxony | 31121 | -252.0 |
| 39 | Zweibrücken | Rhineland-Palatinate | 66482 | -250.5 |
| 40 | Gießen | Hesse | 35410 | -249.2 |
| 41 | Odenwaldkreis | Hesse | 64739 | -247.7 |
| 42 | Ludwigsburg | Baden-Württemberg | 71696 | -237.7 |
| 43 | Memmingen | Bavaria | 87700 | -237.7 |
| 44 | Stuttgart | Baden-Württemberg | 70327 | -234.1 |
| 45 | Ostallgäu | Bavaria | 87650 | -221.8 |
| 46 | Rostock | Mecklenburg-Vorpommern | 18059 | -221.1 |
| 47 | Ennepe-Ruhr-Kreis | North Rhine-Westphalia | 58311 | -217.2 |
| 48 | Stendal | Saxony-Anhalt | 39596 | -213.2 |
| 49 | Würzburg, Landkreis | Bavaria | 97256 | -206.8 |
| 50 | Region Hannover | Lower Saxony | 30622 | -206.6 |
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