Postal Codes

Biggest gains from migration in Germany

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The 50 districts in Germany with the highest net migration per 10,000 residents, and the 50 with the lowest, out of 400 with a published figure.

Biggest gains from migration

DistrictStatePostal codeNet migration per 10,000 residents
1SuhlThuringia98527418.6
2HofBavaria95028406.6
3Frankfurt (Oder)Brandenburg15230386.9
4SchwerinMecklenburg-Vorpommern19055383.3
5LandshutBavaria84026362.7
6Baden-BadenBaden-Württemberg76524353.2
7GeraThuringia07546345.7
8BambergBavaria96050336.7
9MönchengladbachNorth Rhine-Westphalia41169329.2
10StraubingBavaria94312323.7
11Eifelkreis Bitburg-PrümRhineland-Palatinate54646320.9
12ErlangenBavaria91052308.6
13ChemnitzSaxony09112304.7
14Teltow-FlämingBrandenburg14980298.0
15KuselRhineland-Palatinate67742285.2
16MemmingenBavaria87700277.2
17CoburgBavaria96444277.0
18RegensburgBavaria93045269.5
19HavellandBrandenburg14662268.7
20Oder-SpreeBrandenburg15566268.4
21NürnbergBavaria90353268.3
22LeipzigSaxony04207267.2
23HolzmindenLower Saxony37635264.0
24EmdenLower Saxony26723263.7
25Dessau-RoßlauSaxony-Anhalt06846263.4
26PirmasensRhineland-Palatinate66953262.3
27Lüchow-DannenbergLower Saxony29479260.2
28SchweinfurtBavaria97420258.3
29Brandenburg an der HavelBrandenburg14772256.0
30Dingolfing-LandauBavaria84183250.2
31WittmundLower Saxony26465250.0
32UelzenLower Saxony29578246.4
33Halle (Saale)Saxony-Anhalt06106245.9
34HeidekreisLower Saxony29646242.8
35Waldeck-FrankenbergHesse34549239.5
36GießenHesse35410239.2
37Jerichower LandSaxony-Anhalt39291238.0
38BerlinBerlin12039235.5
39Dahme-SpreewaldBrandenburg15749235.4
40KaiserslauternRhineland-Palatinate67657234.1
41Cochem-ZellRhineland-Palatinate56825233.9
42DiepholzLower Saxony27327232.3
43BremerhavenBremen27574231.8
44WilhelmshavenLower Saxony26386229.9
45Ilm-KreisThuringia98716229.8
46Bernkastel-WittlichRhineland-Palatinate54516228.5
47BarnimBrandenburg16321227.6
48Rhein-Hunsrück-KreisRhineland-Palatinate55496227.3
49KyffhäuserkreisThuringia37355226.7
50Altenkirchen (Westerwald)Rhineland-Palatinate57580226.0
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Biggest losses to migration

DistrictStatePostal codeNet migration per 10,000 residents
1SchwabachBavaria9112547.4
2AhrweilerRhineland-Palatinate5350650.1
3NeumünsterSchleswig-Holstein2453673.0
4HildburghausenThuringia9866684.3
5SüdwestpfalzRhineland-Palatinate6697889.7
6Fürth, LandkreisBavaria9057495.4
7Rhein-Pfalz-KreisRhineland-Palatinate67165101.5
8HagenNorth Rhine-Westphalia58091101.9
9KielSchleswig-Holstein24113102.0
10HerneNorth Rhine-Westphalia44629102.3
11JenaThuringia07743102.4
12WürzburgBavaria97074107.8
13KarlsruheBaden-Württemberg76131109.5
14Frankenthal (Pfalz)Rhineland-Palatinate67227110.2
15ErzgebirgskreisSaxony09399112.0
16Mansfeld-SüdharzSaxony-Anhalt06347113.5
17DachauBavaria85247113.6
18RemscheidNorth Rhine-Westphalia42857113.8
19StuttgartBaden-Württemberg70327113.8
20Alzey-WormsRhineland-Palatinate67577114.1
21MünsterNorth Rhine-Westphalia48135114.1
22KrefeldNorth Rhine-Westphalia47802115.1
23Schweinfurt, LandkreisBavaria97508116.2
24KölnNorth Rhine-Westphalia50767117.6
25BochumNorth Rhine-Westphalia44793119.1
26HaßbergeBavaria97478119.7
27BottropNorth Rhine-Westphalia46240121.2
28WormsRhineland-Palatinate67549122.3
29KronachBavaria96349123.0
30Saale-Orla-KreisThuringia07806123.7
31KulmbachBavaria95361124.5
32WartburgkreisThuringia99815125.9
33MiltenbergBavaria63924127.1
34LudwigsburgBaden-Württemberg71696127.2
35Bamberg, LandkreisBavaria96158127.3
36Nürnberger LandBavaria91227127.4
37EssenNorth Rhine-Westphalia45131128.0
38OdenwaldkreisHesse64739128.0
39TübingenBaden-Württemberg72135129.9
40MannheimBaden-Württemberg68147130.2
41SalzgitterLower Saxony38236130.4
42Ludwigshafen am RheinRhineland-Palatinate67067130.9
43RothBavaria91166132.0
44Main-SpessartBavaria97828132.2
45GelsenkirchenNorth Rhine-Westphalia45886132.4
46ErfurtThuringia99091132.8
47HammNorth Rhine-Westphalia59065133.5
48Dillingen a.d.DonauBavaria89429133.6
49ViersenNorth Rhine-Westphalia41751134.0
50Würzburg, LandkreisBavaria97256134.7

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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