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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Income (Families)
Income (Households)
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Poverty (Families)
Unemployment
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Minnesota
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Comparison Subject

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. 55981 2.0 57.0 (-55.0)#1 52.0 (-50.0)#37
2. 55710 3.0 57.0 (-54.0)#2 52.0 (-49.0)#96
3. 55395 4.0 57.0 (-53.0)#3 52.0 (-48.0)#144
4. 55339 4.0 57.0 (-53.0)#4 52.0 (-48.0)#158
5. 56425 6.0 57.0 (-51.0)#5 52.0 (-46.0)#247
6. 55771 7.0 57.0 (-50.0)#6 52.0 (-45.0)#367
7. 55955 8.0 57.0 (-49.0)#7 52.0 (-44.0)#451
8. 55047 8.0 57.0 (-49.0)#8 52.0 (-44.0)#456
9. 56576 9.0 57.0 (-48.0)#9 52.0 (-43.0)#610
10. 56683 9.0 57.0 (-48.0)#10 52.0 (-43.0)#624
11. 55030 10.0 57.0 (-47.0)#11 52.0 (-42.0)#724
12. 56443 10.0 57.0 (-47.0)#12 52.0 (-42.0)#725
13. 55726 10.0 57.0 (-47.0)#13 52.0 (-42.0)#736
14. 56157 10.0 57.0 (-47.0)#14 52.0 (-42.0)#741
15. 56023 10.0 57.0 (-47.0)#15 52.0 (-42.0)#753
16. 56684 10.0 57.0 (-47.0)#16 52.0 (-42.0)#758
17. 55073 11.0 57.0 (-46.0)#17 52.0 (-41.0)#824
18. 55414 12.0 57.0 (-45.0)#18 52.0 (-40.0)#906
19. 55705 12.0 57.0 (-45.0)#19 52.0 (-40.0)#975
20. 56218 12.0 57.0 (-45.0)#20 52.0 (-40.0)#1,039
21. 56043 12.0 57.0 (-45.0)#21 52.0 (-40.0)#1,043
22. 55403 13.0 57.0 (-44.0)#22 52.0 (-39.0)#1,057
23. 55012 13.0 57.0 (-44.0)#23 52.0 (-39.0)#1,145
24. 56713 13.0 57.0 (-44.0)#24 52.0 (-39.0)#1,175
25. 56051 13.0 57.0 (-44.0)#25 52.0 (-39.0)#1,184
26. 56760 13.0 57.0 (-44.0)#26 52.0 (-39.0)#1,197
27. 55397 14.0 57.0 (-43.0)#27 52.0 (-38.0)#1,285
28. 55775 14.0 57.0 (-43.0)#28 52.0 (-38.0)#1,325
29. 56271 14.0 57.0 (-43.0)#29 52.0 (-38.0)#1,327
30. 55957 14.0 57.0 (-43.0)#30 52.0 (-38.0)#1,347
31. 56363 14.0 57.0 (-43.0)#31 52.0 (-38.0)#1,366
32. 55077 15.0 57.0 (-42.0)#32 52.0 (-37.0)#1,399
33. 55709 15.0 57.0 (-42.0)#33 52.0 (-37.0)#1,451
34. 56450 15.0 57.0 (-42.0)#34 52.0 (-37.0)#1,534
35. 55935 15.0 57.0 (-42.0)#35 52.0 (-37.0)#1,540
36. 55805 16.0 57.0 (-41.0)#36 52.0 (-36.0)#1,609
37. 56511 16.0 57.0 (-41.0)#37 52.0 (-36.0)#1,687
38. 56332 16.0 57.0 (-41.0)#38 52.0 (-36.0)#1,695
39. 56516 16.0 57.0 (-41.0)#39 52.0 (-36.0)#1,746
40. 55751 17.0 57.0 (-40.0)#40 52.0 (-35.0)#1,873
41. 55703 17.0 57.0 (-40.0)#41 52.0 (-35.0)#1,886
42. 56578 17.0 57.0 (-40.0)#42 52.0 (-35.0)#1,896
43. 56151 17.0 57.0 (-40.0)#43 52.0 (-35.0)#1,897
44. 56710 17.0 57.0 (-40.0)#44 52.0 (-35.0)#1,901
45. 56590 17.0 57.0 (-40.0)#45 52.0 (-35.0)#1,904
46. 55127 18.0 57.0 (-39.0)#46 52.0 (-34.0)#1,933
47. 55910 18.0 57.0 (-39.0)#47 52.0 (-34.0)#2,067
48. 55757 18.0 57.0 (-39.0)#48 52.0 (-34.0)#2,079
49. 55764 18.0 57.0 (-39.0)#49 52.0 (-34.0)#2,086
50. 56594 18.0 57.0 (-39.0)#50 52.0 (-34.0)#2,087
51. 56089 18.0 57.0 (-39.0)#51 52.0 (-34.0)#2,091
52. 56377 19.0 57.0 (-38.0)#52 52.0 (-33.0)#2,118
53. 55409 19.0 57.0 (-38.0)#53 52.0 (-33.0)#2,147
54. 56185 19.0 57.0 (-38.0)#54 52.0 (-33.0)#2,300
55. 55933 19.0 57.0 (-38.0)#55 52.0 (-33.0)#2,306
56. 55812 20.0 57.0 (-37.0)#56 52.0 (-32.0)#2,372
57. 55384 20.0 57.0 (-37.0)#57 52.0 (-32.0)#2,476
58. 56540 20.0 57.0 (-37.0)#58 52.0 (-32.0)#2,477
59. 56628 20.0 57.0 (-37.0)#59 52.0 (-32.0)#2,494
60. 55314 20.0 57.0 (-37.0)#60 52.0 (-32.0)#2,511
61. 55315 21.0 57.0 (-36.0)#61 52.0 (-31.0)#2,648
62. 56521 21.0 57.0 (-36.0)#62 52.0 (-31.0)#2,772
63. 56748 21.0 57.0 (-36.0)#63 52.0 (-31.0)#2,780
64. 56734 21.0 57.0 (-36.0)#64 52.0 (-31.0)#2,781
65. 55982 21.0 57.0 (-36.0)#65 52.0 (-31.0)#2,783
66. 55408 22.0 57.0 (-35.0)#66 52.0 (-30.0)#2,804
67. 55436 22.0 57.0 (-35.0)#67 52.0 (-30.0)#2,847
68. 55614 22.0 57.0 (-35.0)#68 52.0 (-30.0)#2,935
69. 56223 22.0 57.0 (-35.0)#69 52.0 (-30.0)#2,965
70. 56050 22.0 57.0 (-35.0)#70 52.0 (-30.0)#2,968
71. 55724 22.0 57.0 (-35.0)#71 52.0 (-30.0)#3,007
72. 55987 23.0 57.0 (-34.0)#72 52.0 (-29.0)#3,059
73. 56339 23.0 57.0 (-34.0)#73 52.0 (-29.0)#3,268
74. 56257 23.0 57.0 (-34.0)#74 52.0 (-29.0)#3,289
75. 56165 23.0 57.0 (-34.0)#75 52.0 (-29.0)#3,292
76. 55731 24.0 57.0 (-33.0)#76 52.0 (-28.0)#3,422
77. 55965 24.0 57.0 (-33.0)#77 52.0 (-28.0)#3,473
78. 56169 24.0 57.0 (-33.0)#78 52.0 (-28.0)#3,530
79. 55105 25.0 57.0 (-32.0)#79 52.0 (-27.0)#3,582
80. 55319 25.0 57.0 (-32.0)#80 52.0 (-27.0)#3,701
81. 56057 25.0 57.0 (-32.0)#81 52.0 (-27.0)#3,723
82. 55114 25.0 57.0 (-32.0)#82 52.0 (-27.0)#3,730
83. 56587 25.0 57.0 (-32.0)#83 52.0 (-27.0)#3,790
84. 56727 25.0 57.0 (-32.0)#84 52.0 (-27.0)#3,798
85. 55926 25.0 57.0 (-32.0)#85 52.0 (-27.0)#3,802
86. 56170 25.0 57.0 (-32.0)#86 52.0 (-27.0)#3,818
87. 56374 26.0 57.0 (-31.0)#87 52.0 (-26.0)#3,926
88. 55120 26.0 57.0 (-31.0)#88 52.0 (-26.0)#3,961
89. 56150 26.0 57.0 (-31.0)#89 52.0 (-26.0)#3,996
90. 55054 26.0 57.0 (-31.0)#90 52.0 (-26.0)#4,003
91. 56167 26.0 57.0 (-31.0)#91 52.0 (-26.0)#4,070
92. 56649 27.0 57.0 (-30.0)#92 52.0 (-25.0)#4,201
93. 56101 27.0 57.0 (-30.0)#93 52.0 (-25.0)#4,222
94. 55373 27.0 57.0 (-30.0)#94 52.0 (-25.0)#4,227
95. 55798 27.0 57.0 (-30.0)#95 52.0 (-25.0)#4,344
96. 56145 27.0 57.0 (-30.0)#96 52.0 (-25.0)#4,351
97. 55702 27.0 57.0 (-30.0)#97 52.0 (-25.0)#4,352
98. 55301 28.0 57.0 (-29.0)#98 52.0 (-24.0)#4,460
99. 55352 28.0 57.0 (-29.0)#99 52.0 (-24.0)#4,477
100. 55037 28.0 57.0 (-29.0)#100 52.0 (-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.