Zip Codes with the Fewest Births per 1,000 Women Receiving Public Assitance in Minnesota

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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
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Minnesota
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Map of Zip Codes with the Fewest Births per 1,000 Women Receiving Public Assitance in Minnesota

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Zip Codes with the Fewest Births per 1,000 Women Receiving Public Assitance in Minnesota Map

Zip Codes with the Fewest Births per 1,000 Women Receiving Public Assitance in Minnesota

Zip Code Births / 1,000 Women vs State vs National
1.559812.057.0(-55.0)#152.0(-50.0)#37
2.557103.057.0(-54.0)#252.0(-49.0)#96
3.553954.057.0(-53.0)#352.0(-48.0)#144
4.553394.057.0(-53.0)#452.0(-48.0)#158
5.564256.057.0(-51.0)#552.0(-46.0)#247
6.557717.057.0(-50.0)#652.0(-45.0)#367
7.559558.057.0(-49.0)#752.0(-44.0)#451
8.550478.057.0(-49.0)#852.0(-44.0)#456
9.565769.057.0(-48.0)#952.0(-43.0)#610
10.566839.057.0(-48.0)#1052.0(-43.0)#624
11.5503010.057.0(-47.0)#1152.0(-42.0)#724
12.5644310.057.0(-47.0)#1252.0(-42.0)#725
13.5572610.057.0(-47.0)#1352.0(-42.0)#736
14.5615710.057.0(-47.0)#1452.0(-42.0)#741
15.5602310.057.0(-47.0)#1552.0(-42.0)#753
16.5668410.057.0(-47.0)#1652.0(-42.0)#758
17.5507311.057.0(-46.0)#1752.0(-41.0)#824
18.5541412.057.0(-45.0)#1852.0(-40.0)#906
19.5570512.057.0(-45.0)#1952.0(-40.0)#975
20.5621812.057.0(-45.0)#2052.0(-40.0)#1,039
21.5604312.057.0(-45.0)#2152.0(-40.0)#1,043
22.5540313.057.0(-44.0)#2252.0(-39.0)#1,057
23.5501213.057.0(-44.0)#2352.0(-39.0)#1,145
24.5671313.057.0(-44.0)#2452.0(-39.0)#1,175
25.5605113.057.0(-44.0)#2552.0(-39.0)#1,184
26.5676013.057.0(-44.0)#2652.0(-39.0)#1,197
27.5539714.057.0(-43.0)#2752.0(-38.0)#1,285
28.5577514.057.0(-43.0)#2852.0(-38.0)#1,325
29.5627114.057.0(-43.0)#2952.0(-38.0)#1,327
30.5595714.057.0(-43.0)#3052.0(-38.0)#1,347
31.5636314.057.0(-43.0)#3152.0(-38.0)#1,366
32.5507715.057.0(-42.0)#3252.0(-37.0)#1,399
33.5570915.057.0(-42.0)#3352.0(-37.0)#1,451
34.5645015.057.0(-42.0)#3452.0(-37.0)#1,534
35.5593515.057.0(-42.0)#3552.0(-37.0)#1,540
36.5580516.057.0(-41.0)#3652.0(-36.0)#1,609
37.5651116.057.0(-41.0)#3752.0(-36.0)#1,687
38.5633216.057.0(-41.0)#3852.0(-36.0)#1,695
39.5651616.057.0(-41.0)#3952.0(-36.0)#1,746
40.5575117.057.0(-40.0)#4052.0(-35.0)#1,873
41.5570317.057.0(-40.0)#4152.0(-35.0)#1,886
42.5657817.057.0(-40.0)#4252.0(-35.0)#1,896
43.5615117.057.0(-40.0)#4352.0(-35.0)#1,897
44.5671017.057.0(-40.0)#4452.0(-35.0)#1,901
45.5659017.057.0(-40.0)#4552.0(-35.0)#1,904
46.5512718.057.0(-39.0)#4652.0(-34.0)#1,933
47.5591018.057.0(-39.0)#4752.0(-34.0)#2,067
48.5575718.057.0(-39.0)#4852.0(-34.0)#2,079
49.5576418.057.0(-39.0)#4952.0(-34.0)#2,086
50.5659418.057.0(-39.0)#5052.0(-34.0)#2,087
51.5608918.057.0(-39.0)#5152.0(-34.0)#2,091
52.5637719.057.0(-38.0)#5252.0(-33.0)#2,118
53.5540919.057.0(-38.0)#5352.0(-33.0)#2,147
54.5618519.057.0(-38.0)#5452.0(-33.0)#2,300
55.5593319.057.0(-38.0)#5552.0(-33.0)#2,306
56.5581220.057.0(-37.0)#5652.0(-32.0)#2,372
57.5538420.057.0(-37.0)#5752.0(-32.0)#2,476
58.5654020.057.0(-37.0)#5852.0(-32.0)#2,477
59.5662820.057.0(-37.0)#5952.0(-32.0)#2,494
60.5531420.057.0(-37.0)#6052.0(-32.0)#2,511
61.5531521.057.0(-36.0)#6152.0(-31.0)#2,648
62.5652121.057.0(-36.0)#6252.0(-31.0)#2,772
63.5674821.057.0(-36.0)#6352.0(-31.0)#2,780
64.5673421.057.0(-36.0)#6452.0(-31.0)#2,781
65.5598221.057.0(-36.0)#6552.0(-31.0)#2,783
66.5540822.057.0(-35.0)#6652.0(-30.0)#2,804
67.5543622.057.0(-35.0)#6752.0(-30.0)#2,847
68.5561422.057.0(-35.0)#6852.0(-30.0)#2,935
69.5622322.057.0(-35.0)#6952.0(-30.0)#2,965
70.5605022.057.0(-35.0)#7052.0(-30.0)#2,968
71.5572422.057.0(-35.0)#7152.0(-30.0)#3,007
72.5598723.057.0(-34.0)#7252.0(-29.0)#3,059
73.5633923.057.0(-34.0)#7352.0(-29.0)#3,268
74.5625723.057.0(-34.0)#7452.0(-29.0)#3,289
75.5616523.057.0(-34.0)#7552.0(-29.0)#3,292
76.5573124.057.0(-33.0)#7652.0(-28.0)#3,422
77.5596524.057.0(-33.0)#7752.0(-28.0)#3,473
78.5616924.057.0(-33.0)#7852.0(-28.0)#3,530
79.5510525.057.0(-32.0)#7952.0(-27.0)#3,582
80.5531925.057.0(-32.0)#8052.0(-27.0)#3,701
81.5605725.057.0(-32.0)#8152.0(-27.0)#3,723
82.5511425.057.0(-32.0)#8252.0(-27.0)#3,730
83.5658725.057.0(-32.0)#8352.0(-27.0)#3,790
84.5672725.057.0(-32.0)#8452.0(-27.0)#3,798
85.5592625.057.0(-32.0)#8552.0(-27.0)#3,802
86.5617025.057.0(-32.0)#8652.0(-27.0)#3,818
87.5637426.057.0(-31.0)#8752.0(-26.0)#3,926
88.5512026.057.0(-31.0)#8852.0(-26.0)#3,961
89.5615026.057.0(-31.0)#8952.0(-26.0)#3,996
90.5505426.057.0(-31.0)#9052.0(-26.0)#4,003
91.5616726.057.0(-31.0)#9152.0(-26.0)#4,070
92.5664927.057.0(-30.0)#9252.0(-25.0)#4,201
93.5610127.057.0(-30.0)#9352.0(-25.0)#4,222
94.5537327.057.0(-30.0)#9452.0(-25.0)#4,227
95.5579827.057.0(-30.0)#9552.0(-25.0)#4,344
96.5614527.057.0(-30.0)#9652.0(-25.0)#4,351
97.5570227.057.0(-30.0)#9752.0(-25.0)#4,352
98.5530128.057.0(-29.0)#9852.0(-24.0)#4,460
99.5535228.057.0(-29.0)#9952.0(-24.0)#4,477
100.5503728.057.0(-29.0)#10052.0(-24.0)#4,513

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Receiving Public Assitance in Minnesota?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Receiving Public Assitance in Minnesota are:
#1
2.0
#2
3.0
#3
4.0
#4
4.0
#5
6.0
#6
7.0
#7
8.0
#8
8.0
#9
9.0
#10
9.0
What zip code has the Fewest Births per 1,000 Women Receiving Public Assitance in Minnesota?
55981 has the Fewest Births per 1,000 Women Receiving Public Assitance in Minnesota with 2.0.
What is the Number of Births per 1,000 Women Receiving Public Assitance in the State of Minnesota?
Number of Births per 1,000 Women Receiving Public Assitance in Minnesota is 57.0.
What is the Number of Births per 1,000 Women Receiving Public Assitance in the United States?
Number of Births per 1,000 Women Receiving Public Assitance in the United States is 52.0.