Postal Codes

Most births over deaths in Germany

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

Most births over deaths

DistrictStatePostal codeBirths minus deaths per 10,000 residents
1MünchenBavaria8079823.4
2Frankfurt am MainHesse6043919.1
3Offenbach am MainHesse6306518.1
4Freiburg im BreisgauBaden-Württemberg7909512.0
5FreisingBavaria8539111.5
6VechtaLower Saxony494248.0
7CloppenburgLower Saxony496617.1
8EichstättBavaria851225.5
9TübingenBaden-Württemberg721354.0
10IngolstadtBavaria850513.6
11ErdingBavaria854563.3
12RosenheimBavaria830222.2
13BiberachBaden-Württemberg884540.3
14MainzRhineland-Palatinate551260.0
15EbersbergBavaria85614-0.1
16TuttlingenBaden-Württemberg78588-1.2
17Pfaffenhofen a.d.IlmBavaria85290-1.6
18StuttgartBaden-Württemberg70327-2.1
19RegensburgBavaria93045-2.9
20KölnNorth Rhine-Westphalia50767-4.0
21Straubing-BogenBavaria94357-4.4
22Alb-Donau-KreisBaden-Württemberg89188-4.5
23HamburgHamburg22102-4.5
24BöblingenBaden-Württemberg71125-4.8
25DarmstadtHesse64285-5.0
26Landshut, LandkreisBavaria84137-5.2
27PforzheimBaden-Württemberg75172-5.3
28UlmBaden-Württemberg89073-5.8
29LudwigsburgBaden-Württemberg71696-6.1
30Ludwigshafen am RheinRhineland-Palatinate67067-6.2
31HeidelbergBaden-Württemberg69117-6.8
32Heilbronn, LandkreisBaden-Württemberg74249-7.6
33OstallgäuBavaria87650-7.6
34MünsterNorth Rhine-Westphalia48135-7.9
35BonnNorth Rhine-Westphalia53170-9.9
36KelheimBavaria93339-9.9
37EmmendingenBaden-Württemberg79336-10.2
38DüsseldorfNorth Rhine-Westphalia40252-10.3
39PaderbornNorth Rhine-Westphalia33129-10.3
40DachauBavaria85247-10.5
41RavensburgBaden-Württemberg88287-10.5
42BerlinBerlin12039-10.7
43FürthBavaria90763-11.2
44Neu-UlmBavaria89281-12.4
45Neumarkt i.d.OPf.Bavaria92355-12.7
46ErlangenBavaria91052-13.0
47MannheimBaden-Württemberg68147-13.2
48Groß-GerauHesse64584-13.3
49HeilbronnBaden-Württemberg74074-13.5
50MemmingenBavaria87700-13.5
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Most deaths over births

DistrictStatePostal codeBirths minus deaths per 10,000 residents
1Dessau-RoßlauSaxony-Anhalt06846-139.9
2Mansfeld-SüdharzSaxony-Anhalt06347-134.7
3SuhlThuringia98527-134.7
4HarzSaxony-Anhalt38835-132.1
5SalzlandkreisSaxony-Anhalt39218-131.6
6Anhalt-BitterfeldSaxony-Anhalt06780-128.5
7PrignitzBrandenburg19322-126.8
8KyffhäuserkreisThuringia37355-126.5
9StendalSaxony-Anhalt39596-125.3
10GreizThuringia07950-124.4
11WittenbergSaxony-Anhalt06896-124.2
12Saalfeld-RudolstadtThuringia07407-122.6
13VogtlandkreisSaxony08485-121.5
14GoslarLower Saxony38690-120.0
15Elbe-ElsterBrandenburg04924-118.3
16UckermarkBrandenburg16307-117.0
17Vorpommern-RügenMecklenburg-Vorpommern18465-116.4
18Spree-NeißeBrandenburg03139-116.3
19Oberspreewald-LausitzBrandenburg01994-115.6
20BurgenlandkreisSaxony-Anhalt06682-114.0
21Mecklenburgische SeenplatteMecklenburg-Vorpommern17159-113.3
22Altenburger LandThuringia04617-113.1
23NordhausenThuringia99755-112.3
24Vorpommern-GreifswaldMecklenburg-Vorpommern17392-111.3
25GörlitzSaxony02797-111.1
26Lüchow-DannenbergLower Saxony29479-110.7
27SonnebergThuringia98724-110.5
28ZwickauSaxony08371-110.3
29HildburghausenThuringia98666-108.8
30Jerichower LandSaxony-Anhalt39291-108.0
31Hof, LandkreisBavaria95188-107.3
32Schmalkalden-MeiningenThuringia98593-106.3
33ErzgebirgskreisSaxony09399-106.1
34Wunsiedel i.FichtelgebirgeBavaria95615-105.7
35Saale-Orla-KreisThuringia07806-105.4
36Frankfurt (Oder)Brandenburg15230-104.0
37HolzmindenLower Saxony37635-104.0
38PirmasensRhineland-Palatinate66953-102.8
39GeraThuringia07546-102.1
40Werra-Meißner-KreisHesse37267-99.9
41OstholsteinSchleswig-Holstein23717-99.7
42Ostprignitz-RuppinBrandenburg16835-98.8
43Brandenburg an der HavelBrandenburg14772-98.4
44MittelsachsenSaxony09573-95.8
45Ilm-KreisThuringia98716-95.6
46NortheimLower Saxony37547-95.0
47Unstrut-Hainich-KreisThuringia99986-92.1
48MeißenSaxony01609-91.4
49SaalekreisSaxony-Anhalt06246-90.8
50CottbusBrandenburg03051-90.6

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.

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