Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Minnesota

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Highest Birth Rate | Women 35+
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Income
Income (Families)
Income (Households)
Poverty
Poverty (Families)
Unemployment
Employment Occupations
Employment Industries
Employer Class
Commute Time
Commute Means
School Enrollment
Education by Degree Field
Occupancy
Finances
Physical Characteristics
Minnesota
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Minnesota

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Minnesota Map

Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Minnesota

Zip Code Births / 1,000 Women vs State vs National
1.565651,000.035.0(+965)#132.0(+968)#25
2.560301,000.035.0(+965)#232.0(+968)#33
3.56673357.035.0(+322)#332.0(+325)#162
4.55602321.035.0(+286)#432.0(+289)#204
5.56581300.035.0(+265)#532.0(+268)#228
6.55029286.035.0(+251)#632.0(+254)#248
7.56153250.035.0(+215)#732.0(+218)#325
8.56688250.035.0(+215)#832.0(+218)#328
9.56235222.035.0(+187)#932.0(+190)#395
10.55366204.035.0(+169)#1032.0(+172)#461
11.56032200.035.0(+165)#1132.0(+168)#476
12.55723194.035.0(+159)#1232.0(+162)#506
13.56355191.035.0(+156)#1332.0(+159)#526
14.55612185.035.0(+150)#1432.0(+153)#549
15.56058171.035.0(+136)#1532.0(+139)#641
16.56263171.035.0(+136)#1632.0(+139)#645
17.55388164.035.0(+129)#1732.0(+132)#694
18.56327160.035.0(+125)#1832.0(+128)#723
19.55026158.035.0(+123)#1932.0(+126)#733
20.56117158.035.0(+123)#2032.0(+126)#735
21.56545156.035.0(+121)#2132.0(+124)#759
22.55781155.035.0(+120)#2232.0(+123)#775
23.55415143.035.0(+108)#2332.0(+111)#862
24.55088138.035.0(+103)#2432.0(+106)#921
25.56110138.035.0(+103)#2532.0(+106)#922
26.56458135.035.0(+100.0)#2632.0(+103)#962
27.56260130.035.0(+95.0)#2732.0(+98.0)#1,022
28.56356130.035.0(+95.0)#2832.0(+98.0)#1,027
29.55603129.035.0(+94.0)#2932.0(+97.0)#1,040
30.56579128.035.0(+93.0)#3032.0(+96.0)#1,049
31.55765123.035.0(+88.0)#3132.0(+91.0)#1,122
32.55018120.035.0(+85.0)#3232.0(+88.0)#1,163
33.56240120.035.0(+85.0)#3332.0(+88.0)#1,165
34.56387119.035.0(+84.0)#3432.0(+87.0)#1,173
35.56207118.035.0(+83.0)#3532.0(+86.0)#1,199
36.56744116.035.0(+81.0)#3632.0(+84.0)#1,237
37.56019111.035.0(+76.0)#3732.0(+79.0)#1,317
38.55053109.035.0(+74.0)#3832.0(+77.0)#1,350
39.55940107.035.0(+72.0)#3932.0(+75.0)#1,381
40.56369105.035.0(+70.0)#4032.0(+73.0)#1,428
41.56244104.035.0(+69.0)#4132.0(+72.0)#1,452
42.56543100.035.0(+65.0)#4232.0(+68.0)#1,554
43.5510399.035.0(+64.0)#4332.0(+67.0)#1,563
44.5545499.035.0(+64.0)#4432.0(+67.0)#1,567
45.5500199.035.0(+64.0)#4532.0(+67.0)#1,575
46.5663498.035.0(+63.0)#4632.0(+66.0)#1,605
47.5536798.035.0(+63.0)#4732.0(+66.0)#1,611
48.5579398.035.0(+63.0)#4832.0(+66.0)#1,612
49.5653597.035.0(+62.0)#4932.0(+65.0)#1,633
50.5621693.035.0(+58.0)#5032.0(+61.0)#1,751
51.5543792.035.0(+57.0)#5132.0(+60.0)#1,759
52.5628991.035.0(+56.0)#5232.0(+59.0)#1,825
53.5625591.035.0(+56.0)#5332.0(+59.0)#1,827
54.5532589.035.0(+54.0)#5432.0(+57.0)#1,875
55.5629387.035.0(+52.0)#5532.0(+55.0)#1,954
56.5666186.035.0(+51.0)#5632.0(+54.0)#2,001
57.5590485.035.0(+50.0)#5732.0(+53.0)#2,007
58.5624183.035.0(+48.0)#5832.0(+51.0)#2,097
59.5510982.035.0(+47.0)#5932.0(+50.0)#2,128
60.5644082.035.0(+47.0)#6032.0(+50.0)#2,163
61.5675081.035.0(+46.0)#6132.0(+49.0)#2,201
62.5675180.035.0(+45.0)#6232.0(+48.0)#2,233
63.5542679.035.0(+44.0)#6332.0(+47.0)#2,268
64.5536279.035.0(+44.0)#6432.0(+47.0)#2,271
65.5540579.035.0(+44.0)#6532.0(+47.0)#2,272
66.5602478.035.0(+43.0)#6632.0(+46.0)#2,336
67.5540177.035.0(+42.0)#6732.0(+45.0)#2,373
68.5621577.035.0(+42.0)#6832.0(+45.0)#2,383
69.5651877.035.0(+42.0)#6932.0(+45.0)#2,402
70.5600176.035.0(+41.0)#7032.0(+44.0)#2,411
71.5502075.035.0(+40.0)#7132.0(+43.0)#2,492
72.5532074.035.0(+39.0)#7232.0(+42.0)#2,552
73.5672574.035.0(+39.0)#7332.0(+42.0)#2,573
74.5657574.035.0(+39.0)#7432.0(+42.0)#2,576
75.5638474.035.0(+39.0)#7532.0(+42.0)#2,579
76.5614973.035.0(+38.0)#7632.0(+41.0)#2,650
77.5645373.035.0(+38.0)#7732.0(+41.0)#2,655
78.5657272.035.0(+37.0)#7832.0(+40.0)#2,696
79.5622172.035.0(+37.0)#7932.0(+40.0)#2,710
80.5512671.035.0(+36.0)#8032.0(+39.0)#2,721
81.5541071.035.0(+36.0)#8132.0(+39.0)#2,723
82.5544571.035.0(+36.0)#8232.0(+39.0)#2,730
83.5606371.035.0(+36.0)#8332.0(+39.0)#2,756
84.5596771.035.0(+36.0)#8432.0(+39.0)#2,767
85.5539870.035.0(+35.0)#8532.0(+38.0)#2,806
86.5623770.035.0(+35.0)#8632.0(+38.0)#2,851
87.5501669.035.0(+34.0)#8732.0(+37.0)#2,864
88.5537169.035.0(+34.0)#8832.0(+37.0)#2,882
89.5575069.035.0(+34.0)#8932.0(+37.0)#2,911
90.5603968.035.0(+33.0)#9032.0(+36.0)#2,984
91.5512967.035.0(+32.0)#9132.0(+35.0)#3,008
92.5512067.035.0(+32.0)#9232.0(+35.0)#3,050
93.5646867.035.0(+32.0)#9332.0(+35.0)#3,054
94.5616867.035.0(+32.0)#9432.0(+35.0)#3,071
95.5540766.035.0(+31.0)#9532.0(+34.0)#3,098
96.5544965.035.0(+30.0)#9632.0(+33.0)#3,180
97.5531365.035.0(+30.0)#9732.0(+33.0)#3,186
98.5532865.035.0(+30.0)#9832.0(+33.0)#3,216
99.5511565.035.0(+30.0)#9932.0(+33.0)#3,220
100.5500665.035.0(+30.0)#10032.0(+33.0)#3,238

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Minnesota?
Top 10 Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Minnesota are:
#1
1,000.0
#2
1,000.0
#3
357.0
#4
321.0
#5
300.0
#6
286.0
#7
250.0
#8
250.0
#9
222.0
#10
204.0
What zip code has the Most Births per 1,000 Women Over the Age of 35 in Minnesota?
56565 has the Most Births per 1,000 Women Over the Age of 35 in Minnesota with 1,000.0.
What is the Number of Births per 1,000 Women Over the Age of 35 in the State of Minnesota?
Number of Births per 1,000 Women Over the Age of 35 in Minnesota is 35.0.
What is the Number of Births per 1,000 Women Over the Age of 35 in the United States?
Number of Births per 1,000 Women Over the Age of 35 in the United States is 32.0.