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

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Highest 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 Most Births per 1,000 Women in Labor Force in Minnesota

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women in Labor Force in Minnesota Map

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

Zip Code Births / 1,000 Women vs State vs National
1. 56030 1,000.0 54.0 (+946)#1 48.0 (+952)#52
2. 56566 439.0 54.0 (+385)#2 48.0 (+391)#228
3. 55602 429.0 54.0 (+375)#3 48.0 (+381)#237
4. 56327 365.0 54.0 (+311)#4 48.0 (+317)#318
5. 56236 313.0 54.0 (+259)#5 48.0 (+265)#435
6. 56139 302.0 54.0 (+248)#6 48.0 (+254)#463
7. 56371 294.0 54.0 (+240)#7 48.0 (+246)#488
8. 56724 273.0 54.0 (+219)#8 48.0 (+225)#568
9. 56670 271.0 54.0 (+217)#9 48.0 (+223)#573
10. 55962 266.0 54.0 (+212)#10 48.0 (+218)#590
11. 56173 259.0 54.0 (+205)#11 48.0 (+211)#621
12. 56287 250.0 54.0 (+196)#12 48.0 (+202)#668
13. 56666 247.0 54.0 (+193)#13 48.0 (+199)#674
14. 56221 238.0 54.0 (+184)#14 48.0 (+190)#722
15. 56385 235.0 54.0 (+181)#15 48.0 (+187)#736
16. 56323 226.0 54.0 (+172)#16 48.0 (+178)#791
17. 56732 225.0 54.0 (+171)#17 48.0 (+177)#800
18. 56174 222.0 54.0 (+168)#18 48.0 (+174)#818
19. 55615 219.0 54.0 (+165)#19 48.0 (+171)#845
20. 56553 211.0 54.0 (+157)#20 48.0 (+163)#912
21. 56016 207.0 54.0 (+153)#21 48.0 (+159)#934
22. 56231 204.0 54.0 (+150)#22 48.0 (+156)#963
23. 56263 203.0 54.0 (+149)#23 48.0 (+155)#970
24. 56134 203.0 54.0 (+149)#24 48.0 (+155)#972
25. 56115 200.0 54.0 (+146)#25 48.0 (+152)#982
26. 56032 200.0 54.0 (+146)#26 48.0 (+152)#992
27. 56688 200.0 54.0 (+146)#27 48.0 (+152)#1,009
28. 55029 200.0 54.0 (+146)#28 48.0 (+152)#1,014
29. 56155 193.0 54.0 (+139)#29 48.0 (+145)#1,081
30. 56355 192.0 54.0 (+138)#30 48.0 (+144)#1,086
31. 56651 185.0 54.0 (+131)#31 48.0 (+137)#1,153
32. 56686 184.0 54.0 (+130)#32 48.0 (+136)#1,163
33. 56091 184.0 54.0 (+130)#33 48.0 (+136)#1,171
34. 56678 181.0 54.0 (+127)#34 48.0 (+133)#1,198
35. 56356 179.0 54.0 (+125)#35 48.0 (+131)#1,221
36. 55716 179.0 54.0 (+125)#36 48.0 (+131)#1,222
37. 55612 176.0 54.0 (+122)#37 48.0 (+128)#1,245
38. 56285 175.0 54.0 (+121)#38 48.0 (+127)#1,259
39. 55366 175.0 54.0 (+121)#39 48.0 (+127)#1,264
40. 56156 173.0 54.0 (+119)#40 48.0 (+125)#1,283
41. 56552 167.0 54.0 (+113)#41 48.0 (+119)#1,390
42. 56118 167.0 54.0 (+113)#42 48.0 (+119)#1,391
43. 56369 167.0 54.0 (+113)#43 48.0 (+119)#1,393
44. 55946 164.0 54.0 (+110)#44 48.0 (+116)#1,426
45. 56570 163.0 54.0 (+109)#45 48.0 (+115)#1,449
46. 56248 158.0 54.0 (+104)#46 48.0 (+110)#1,539
47. 56579 156.0 54.0 (+102)#47 48.0 (+108)#1,574
48. 55959 154.0 54.0 (+100.0)#48 48.0 (+106)#1,607
49. 55973 154.0 54.0 (+100.0)#49 48.0 (+106)#1,616
50. 55723 150.0 54.0 (+96.0)#50 48.0 (+102)#1,679
51. 56757 149.0 54.0 (+95.0)#51 48.0 (+101)#1,703
52. 55735 148.0 54.0 (+94.0)#52 48.0 (+100.0)#1,717
53. 56572 147.0 54.0 (+93.0)#53 48.0 (+99.0)#1,736
54. 55976 144.0 54.0 (+90.0)#54 48.0 (+96.0)#1,795
55. 56581 143.0 54.0 (+89.0)#55 48.0 (+95.0)#1,843
56. 56313 143.0 54.0 (+89.0)#56 48.0 (+95.0)#1,854
57. 55605 141.0 54.0 (+87.0)#57 48.0 (+93.0)#1,888
58. 56279 140.0 54.0 (+86.0)#58 48.0 (+92.0)#1,907
59. 56010 140.0 54.0 (+86.0)#59 48.0 (+92.0)#1,908
60. 56314 139.0 54.0 (+85.0)#60 48.0 (+91.0)#1,939
61. 56655 138.0 54.0 (+84.0)#61 48.0 (+90.0)#1,965
62. 56660 138.0 54.0 (+84.0)#62 48.0 (+90.0)#1,980
63. 55934 136.0 54.0 (+82.0)#63 48.0 (+88.0)#2,017
64. 56033 136.0 54.0 (+82.0)#64 48.0 (+88.0)#2,030
65. 56249 136.0 54.0 (+82.0)#65 48.0 (+88.0)#2,032
66. 56075 136.0 54.0 (+82.0)#66 48.0 (+88.0)#2,035
67. 56662 135.0 54.0 (+81.0)#67 48.0 (+87.0)#2,056
68. 55017 128.0 54.0 (+74.0)#68 48.0 (+80.0)#2,253
69. 56518 127.0 54.0 (+73.0)#69 48.0 (+79.0)#2,301
70. 56240 125.0 54.0 (+71.0)#70 48.0 (+77.0)#2,360
71. 56331 124.0 54.0 (+70.0)#71 48.0 (+76.0)#2,397
72. 56045 124.0 54.0 (+70.0)#72 48.0 (+76.0)#2,407
73. 55376 123.0 54.0 (+69.0)#73 48.0 (+75.0)#2,409
74. 55953 122.0 54.0 (+68.0)#74 48.0 (+74.0)#2,461
75. 56262 122.0 54.0 (+68.0)#75 48.0 (+74.0)#2,462
76. 56468 120.0 54.0 (+66.0)#76 48.0 (+72.0)#2,513
77. 55931 120.0 54.0 (+66.0)#77 48.0 (+72.0)#2,532
78. 56207 120.0 54.0 (+66.0)#78 48.0 (+72.0)#2,535
79. 55742 118.0 54.0 (+64.0)#79 48.0 (+70.0)#2,624
80. 56557 117.0 54.0 (+63.0)#80 48.0 (+69.0)#2,647
81. 56149 117.0 54.0 (+63.0)#81 48.0 (+69.0)#2,660
82. 56721 116.0 54.0 (+62.0)#82 48.0 (+68.0)#2,667
83. 56433 116.0 54.0 (+62.0)#83 48.0 (+68.0)#2,691
84. 56144 116.0 54.0 (+62.0)#84 48.0 (+68.0)#2,699
85. 56289 116.0 54.0 (+62.0)#85 48.0 (+68.0)#2,702
86. 56744 116.0 54.0 (+62.0)#86 48.0 (+68.0)#2,703
87. 55711 116.0 54.0 (+62.0)#87 48.0 (+68.0)#2,704
88. 56522 116.0 54.0 (+62.0)#88 48.0 (+68.0)#2,705
89. 56633 115.0 54.0 (+61.0)#89 48.0 (+67.0)#2,721
90. 55307 114.0 54.0 (+60.0)#90 48.0 (+66.0)#2,761
91. 56551 114.0 54.0 (+60.0)#91 48.0 (+66.0)#2,766
92. 55945 114.0 54.0 (+60.0)#92 48.0 (+66.0)#2,776
93. 56556 114.0 54.0 (+60.0)#93 48.0 (+66.0)#2,777
94. 55367 114.0 54.0 (+60.0)#94 48.0 (+66.0)#2,780
95. 56069 113.0 54.0 (+59.0)#95 48.0 (+65.0)#2,805
96. 55325 112.0 54.0 (+58.0)#96 48.0 (+64.0)#2,843
97. 56280 111.0 54.0 (+57.0)#97 48.0 (+63.0)#2,921
98. 56260 109.0 54.0 (+55.0)#98 48.0 (+61.0)#3,032
99. 56027 109.0 54.0 (+55.0)#99 48.0 (+61.0)#3,037
100. 56536 109.0 54.0 (+55.0)#100 48.0 (+61.0)#3,040

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Minnesota?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Minnesota are:
#1
1,000.0
#2
439.0
#3
429.0
#4
365.0
#5
313.0
#6
302.0
#7
294.0
#8
273.0
#9
271.0
#10
266.0
What zip code has the Most Births per 1,000 Women in Labor Force in Minnesota?
56030 has the Most Births per 1,000 Women in Labor Force in Minnesota with 1,000.0.
What is the Number of Births per 1,000 Women in Labor Force in the State of Minnesota?
Number of Births per 1,000 Women in Labor Force in Minnesota is 54.0.
What is the Number of Births per 1,000 Women in Labor Force in the United States?
Number of Births per 1,000 Women in Labor Force in the United States is 48.0.