Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Minnesota

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Lowest Birth Rate | In Labor Force
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 Lowest Births per 1,000 Women in Labor Force in Minnesota

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Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Minnesota Map

Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Minnesota

Zip Code Births / 1,000 Women vs State vs National
1. 55073 2.0 54.0 (-52.0)#1 48.0 (-46.0)#27
2. 55981 2.0 54.0 (-52.0)#2 48.0 (-46.0)#29
3. 55710 4.0 54.0 (-50.0)#3 48.0 (-44.0)#161
4. 55395 5.0 54.0 (-49.0)#4 48.0 (-43.0)#216
5. 56282 5.0 54.0 (-49.0)#5 48.0 (-43.0)#226
6. 55339 5.0 54.0 (-49.0)#6 48.0 (-43.0)#231
7. 56332 7.0 54.0 (-47.0)#7 48.0 (-41.0)#390
8. 56521 7.0 54.0 (-47.0)#8 48.0 (-41.0)#406
9. 56425 8.0 54.0 (-46.0)#9 48.0 (-40.0)#443
10. 55127 9.0 54.0 (-45.0)#10 48.0 (-39.0)#563
11. 55719 9.0 54.0 (-45.0)#11 48.0 (-39.0)#596
12. 55047 9.0 54.0 (-45.0)#12 48.0 (-39.0)#630
13. 55771 9.0 54.0 (-45.0)#13 48.0 (-39.0)#644
14. 55373 10.0 54.0 (-44.0)#14 48.0 (-38.0)#748
15. 55955 10.0 54.0 (-44.0)#15 48.0 (-38.0)#778
16. 55012 10.0 54.0 (-44.0)#16 48.0 (-38.0)#789
17. 56683 10.0 54.0 (-44.0)#17 48.0 (-38.0)#828
18. 55409 11.0 54.0 (-43.0)#18 48.0 (-37.0)#862
19. 55805 11.0 54.0 (-43.0)#19 48.0 (-37.0)#869
20. 55983 11.0 54.0 (-43.0)#20 48.0 (-37.0)#959
21. 56628 11.0 54.0 (-43.0)#21 48.0 (-37.0)#963
22. 56661 11.0 54.0 (-43.0)#22 48.0 (-37.0)#981
23. 56727 11.0 54.0 (-43.0)#23 48.0 (-37.0)#984
24. 55370 11.0 54.0 (-43.0)#24 48.0 (-37.0)#987
25. 55403 12.0 54.0 (-42.0)#25 48.0 (-36.0)#1,016
26. 55709 12.0 54.0 (-42.0)#26 48.0 (-36.0)#1,087
27. 55614 12.0 54.0 (-42.0)#27 48.0 (-36.0)#1,121
28. 56050 12.0 54.0 (-42.0)#28 48.0 (-36.0)#1,133
29. 56157 12.0 54.0 (-42.0)#29 48.0 (-36.0)#1,149
30. 56122 12.0 54.0 (-42.0)#30 48.0 (-36.0)#1,153
31. 56023 12.0 54.0 (-42.0)#31 48.0 (-36.0)#1,155
32. 55408 13.0 54.0 (-41.0)#32 48.0 (-35.0)#1,168
33. 56443 13.0 54.0 (-41.0)#33 48.0 (-35.0)#1,317
34. 56713 13.0 54.0 (-41.0)#34 48.0 (-35.0)#1,327
35. 55414 14.0 54.0 (-40.0)#35 48.0 (-34.0)#1,354
36. 55726 14.0 54.0 (-40.0)#36 48.0 (-34.0)#1,514
37. 56684 14.0 54.0 (-40.0)#37 48.0 (-34.0)#1,531
38. 55803 15.0 54.0 (-39.0)#38 48.0 (-33.0)#1,565
39. 55077 15.0 54.0 (-39.0)#39 48.0 (-33.0)#1,574
40. 55954 15.0 54.0 (-39.0)#40 48.0 (-33.0)#1,698
41. 56271 15.0 54.0 (-39.0)#41 48.0 (-33.0)#1,699
42. 56120 15.0 54.0 (-39.0)#42 48.0 (-33.0)#1,706
43. 56377 16.0 54.0 (-38.0)#43 48.0 (-32.0)#1,763
44. 55301 16.0 54.0 (-38.0)#44 48.0 (-32.0)#1,778
45. 56587 16.0 54.0 (-38.0)#45 48.0 (-32.0)#1,892
46. 56218 16.0 54.0 (-38.0)#46 48.0 (-32.0)#1,917
47. 56760 16.0 54.0 (-38.0)#47 48.0 (-32.0)#1,920
48. 56363 16.0 54.0 (-38.0)#48 48.0 (-32.0)#1,922
49. 55315 17.0 54.0 (-37.0)#49 48.0 (-31.0)#2,009
50. 55381 17.0 54.0 (-37.0)#50 48.0 (-31.0)#2,061
51. 56374 18.0 54.0 (-36.0)#51 48.0 (-30.0)#2,191
52. 55397 18.0 54.0 (-36.0)#52 48.0 (-30.0)#2,248
53. 55027 18.0 54.0 (-36.0)#53 48.0 (-30.0)#2,252
54. 56540 18.0 54.0 (-36.0)#54 48.0 (-30.0)#2,275
55. 55935 18.0 54.0 (-36.0)#55 48.0 (-30.0)#2,304
56. 56051 18.0 54.0 (-36.0)#56 48.0 (-30.0)#2,305
57. 56090 18.0 54.0 (-36.0)#57 48.0 (-30.0)#2,312
58. 56649 19.0 54.0 (-35.0)#58 48.0 (-29.0)#2,415
59. 56578 19.0 54.0 (-35.0)#59 48.0 (-29.0)#2,524
60. 56060 19.0 54.0 (-35.0)#60 48.0 (-29.0)#2,532
61. 55108 20.0 54.0 (-34.0)#61 48.0 (-28.0)#2,618
62. 56636 20.0 54.0 (-34.0)#62 48.0 (-28.0)#2,695
63. 55705 20.0 54.0 (-34.0)#63 48.0 (-28.0)#2,716
64. 55790 20.0 54.0 (-34.0)#64 48.0 (-28.0)#2,747
65. 55342 20.0 54.0 (-34.0)#65 48.0 (-28.0)#2,749
66. 56043 20.0 54.0 (-34.0)#66 48.0 (-28.0)#2,794
67. 56761 20.0 54.0 (-34.0)#67 48.0 (-28.0)#2,795
68. 55420 21.0 54.0 (-33.0)#68 48.0 (-27.0)#2,849
69. 55746 21.0 54.0 (-33.0)#69 48.0 (-27.0)#2,875
70. 55734 21.0 54.0 (-33.0)#70 48.0 (-27.0)#2,936
71. 55965 21.0 54.0 (-33.0)#71 48.0 (-27.0)#3,000
72. 56511 21.0 54.0 (-33.0)#72 48.0 (-27.0)#3,007
73. 55957 21.0 54.0 (-33.0)#73 48.0 (-27.0)#3,044
74. 55961 21.0 54.0 (-33.0)#74 48.0 (-27.0)#3,050
75. 56710 21.0 54.0 (-33.0)#75 48.0 (-27.0)#3,051
76. 56516 21.0 54.0 (-33.0)#76 48.0 (-27.0)#3,057
77. 55425 22.0 54.0 (-32.0)#77 48.0 (-26.0)#3,159
78. 56515 22.0 54.0 (-32.0)#78 48.0 (-26.0)#3,235
79. 56630 22.0 54.0 (-32.0)#79 48.0 (-26.0)#3,249
80. 55706 22.0 54.0 (-32.0)#80 48.0 (-26.0)#3,258
81. 55910 22.0 54.0 (-32.0)#81 48.0 (-26.0)#3,270
82. 56137 22.0 54.0 (-32.0)#82 48.0 (-26.0)#3,277
83. 56167 22.0 54.0 (-32.0)#83 48.0 (-26.0)#3,297
84. 55764 22.0 54.0 (-32.0)#84 48.0 (-26.0)#3,304
85. 56594 22.0 54.0 (-32.0)#85 48.0 (-26.0)#3,306
86. 56185 22.0 54.0 (-32.0)#86 48.0 (-26.0)#3,309
87. 56387 23.0 54.0 (-31.0)#87 48.0 (-25.0)#3,432
88. 56101 23.0 54.0 (-31.0)#88 48.0 (-25.0)#3,454
89. 55037 23.0 54.0 (-31.0)#89 48.0 (-25.0)#3,468
90. 56621 23.0 54.0 (-31.0)#90 48.0 (-25.0)#3,476
91. 56650 23.0 54.0 (-31.0)#91 48.0 (-25.0)#3,546
92. 55703 23.0 54.0 (-31.0)#92 48.0 (-25.0)#3,547
93. 56533 23.0 54.0 (-31.0)#93 48.0 (-25.0)#3,567
94. 55987 24.0 54.0 (-30.0)#94 48.0 (-24.0)#3,604
95. 55812 24.0 54.0 (-30.0)#95 48.0 (-24.0)#3,689
96. 55731 24.0 54.0 (-30.0)#96 48.0 (-24.0)#3,745
97. 55384 24.0 54.0 (-30.0)#97 48.0 (-24.0)#3,803
98. 55332 24.0 54.0 (-30.0)#98 48.0 (-24.0)#3,808
99. 55919 24.0 54.0 (-30.0)#99 48.0 (-24.0)#3,836
100. 56339 24.0 54.0 (-30.0)#100 48.0 (-24.0)#3,838

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Minnesota?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Minnesota are:
#1
2.0
#2
2.0
#3
4.0
#4
5.0
#5
5.0
#6
5.0
#7
7.0
#8
7.0
#9
8.0
#10
9.0
What zip code has the Lowest Births per 1,000 Women in Labor Force in Minnesota?
55073 has the Lowest Births per 1,000 Women in Labor Force in Minnesota with 2.0.
What is the Number Births per 1,000 Women in Labor Force in the State of Minnesota?
Number Births per 1,000 Women in Labor Force in Minnesota is 54.0.
What is the Number Births per 1,000 Women in Labor Force in the United States?
Number Births per 1,000 Women in Labor Force in the United States is 48.0.