Zip Codes with the Youngest Female Population in Minnesota

RELATED REPORTS & OPTIONS

Youngest Population | Female
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 Youngest Female Population in Minnesota

40.0
0.0
Zip Codes with the Youngest Female Population in Minnesota Map

Zip Codes with the Youngest Female Population in Minnesota

Zip Code Median Age vs State vs National
1. 56210 9.5 39.2 (-29.7)#1 39.7 (-30.2)#36
2. 55029 13.3 39.2 (-25.9)#2 39.7 (-26.4)#82
3. 56626 17.3 39.2 (-21.9)#3 39.7 (-22.4)#161
4. 55455 18.9 39.2 (-20.3)#4 39.7 (-20.8)#225
5. 56563 19.4 39.2 (-19.8)#5 39.7 (-20.3)#330
6. 56562 19.5 39.2 (-19.7)#6 39.7 (-20.2)#364
7. 55414 22.2 39.2 (-17.0)#7 39.7 (-17.5)#756
8. 55812 22.6 39.2 (-16.6)#8 39.7 (-17.1)#799
9. 56671 23.7 39.2 (-15.5)#9 39.7 (-16.0)#924
10. 55454 25.4 39.2 (-13.8)#10 39.7 (-14.3)#1,104
11. 55805 25.8 39.2 (-13.4)#11 39.7 (-13.9)#1,155
12. 56369 25.9 39.2 (-13.3)#12 39.7 (-13.8)#1,182
13. 56666 26.0 39.2 (-13.2)#13 39.7 (-13.7)#1,193
14. 56591 26.8 39.2 (-12.4)#14 39.7 (-12.9)#1,315
15. 56113 26.9 39.2 (-12.3)#15 39.7 (-12.8)#1,343
16. 56301 27.1 39.2 (-12.1)#16 39.7 (-12.6)#1,359
17. 56287 27.3 39.2 (-11.9)#17 39.7 (-12.4)#1,411
18. 56670 27.5 39.2 (-11.7)#18 39.7 (-12.2)#1,436
19. 56030 27.5 39.2 (-11.7)#19 39.7 (-12.2)#1,445
20. 56139 27.8 39.2 (-11.4)#20 39.7 (-11.9)#1,498
21. 55114 28.2 39.2 (-11.0)#21 39.7 (-11.5)#1,581
22. 55979 28.5 39.2 (-10.7)#22 39.7 (-11.2)#1,664
23. 56001 28.8 39.2 (-10.4)#23 39.7 (-10.9)#1,732
24. 55411 29.0 39.2 (-10.2)#24 39.7 (-10.7)#1,799
25. 55049 29.7 39.2 (-9.50)#25 39.7 (-10.0)#1,995
26. 55402 29.7 39.2 (-9.50)#26 39.7 (-10.0)#1,999
27. 56374 29.8 39.2 (-9.40)#27 39.7 (-9.90)#2,014
28. 56518 29.8 39.2 (-9.40)#28 39.7 (-9.90)#2,035
29. 55408 29.9 39.2 (-9.30)#29 39.7 (-9.80)#2,053
30. 56357 30.1 39.2 (-9.10)#30 39.7 (-9.60)#2,145
31. 56046 30.3 39.2 (-8.90)#31 39.7 (-9.40)#2,227
32. 55404 30.5 39.2 (-8.70)#32 39.7 (-9.20)#2,282
33. 56543 30.6 39.2 (-8.60)#33 39.7 (-9.10)#2,347
34. 55405 30.7 39.2 (-8.50)#34 39.7 (-9.00)#2,365
35. 55130 31.0 39.2 (-8.20)#35 39.7 (-8.70)#2,495
36. 56756 31.1 39.2 (-8.10)#36 39.7 (-8.60)#2,549
37. 55106 31.2 39.2 (-8.00)#37 39.7 (-8.50)#2,558
38. 55057 31.4 39.2 (-7.80)#38 39.7 (-8.30)#2,636
39. 56566 31.4 39.2 (-7.80)#39 39.7 (-8.30)#2,661
40. 56646 31.4 39.2 (-7.80)#40 39.7 (-8.30)#2,668
41. 55403 31.5 39.2 (-7.70)#41 39.7 (-8.20)#2,693
42. 55922 31.6 39.2 (-7.60)#42 39.7 (-8.10)#2,767
43. 55806 31.7 39.2 (-7.50)#43 39.7 (-8.00)#2,794
44. 56255 31.7 39.2 (-7.50)#44 39.7 (-8.00)#2,826
45. 55360 31.8 39.2 (-7.40)#45 39.7 (-7.90)#2,861
46. 55104 31.9 39.2 (-7.30)#46 39.7 (-7.80)#2,898
47. 55415 31.9 39.2 (-7.30)#47 39.7 (-7.80)#2,917
48. 55090 31.9 39.2 (-7.30)#48 39.7 (-7.80)#2,941
49. 56032 31.9 39.2 (-7.30)#49 39.7 (-7.80)#2,943
50. 56292 32.0 39.2 (-7.20)#50 39.7 (-7.70)#2,988
51. 56744 32.1 39.2 (-7.10)#51 39.7 (-7.60)#3,042
52. 56633 32.2 39.2 (-7.00)#52 39.7 (-7.50)#3,078
53. 56244 32.4 39.2 (-6.80)#53 39.7 (-7.30)#3,194
54. 55407 32.5 39.2 (-6.70)#54 39.7 (-7.20)#3,226
55. 55301 32.5 39.2 (-6.70)#55 39.7 (-7.20)#3,243
56. 56560 32.6 39.2 (-6.60)#56 39.7 (-7.10)#3,297
57. 55020 32.6 39.2 (-6.60)#57 39.7 (-7.10)#3,325
58. 56267 32.8 39.2 (-6.40)#58 39.7 (-6.90)#3,434
59. 56514 32.8 39.2 (-6.40)#59 39.7 (-6.90)#3,436
60. 56355 32.8 39.2 (-6.40)#60 39.7 (-6.90)#3,451
61. 56565 32.8 39.2 (-6.40)#61 39.7 (-6.90)#3,470
62. 56389 32.8 39.2 (-6.40)#62 39.7 (-6.90)#3,474
63. 56186 32.9 39.2 (-6.30)#63 39.7 (-6.80)#3,545
64. 55764 33.0 39.2 (-6.20)#64 39.7 (-6.70)#3,603
65. 55429 33.1 39.2 (-6.10)#65 39.7 (-6.60)#3,633
66. 56331 33.1 39.2 (-6.10)#66 39.7 (-6.60)#3,651
67. 55030 33.1 39.2 (-6.10)#67 39.7 (-6.60)#3,656
68. 56078 33.1 39.2 (-6.10)#68 39.7 (-6.60)#3,663
69. 56304 33.2 39.2 (-6.00)#69 39.7 (-6.50)#3,689
70. 55046 33.2 39.2 (-6.00)#70 39.7 (-6.50)#3,698
71. 55107 33.3 39.2 (-5.90)#71 39.7 (-6.40)#3,749
72. 55103 33.3 39.2 (-5.90)#72 39.7 (-6.40)#3,751
73. 55363 33.5 39.2 (-5.70)#73 39.7 (-6.20)#3,910
74. 55929 33.5 39.2 (-5.70)#74 39.7 (-6.20)#3,928
75. 56568 33.5 39.2 (-5.70)#75 39.7 (-6.20)#3,947
76. 56020 33.5 39.2 (-5.70)#76 39.7 (-6.20)#3,951
77. 56187 33.7 39.2 (-5.50)#77 39.7 (-6.00)#4,063
78. 55425 33.8 39.2 (-5.40)#78 39.7 (-5.90)#4,134
79. 56223 33.9 39.2 (-5.30)#79 39.7 (-5.80)#4,248
80. 55753 33.9 39.2 (-5.30)#80 39.7 (-5.80)#4,253
81. 55711 33.9 39.2 (-5.30)#81 39.7 (-5.80)#4,263
82. 55987 34.0 39.2 (-5.20)#82 39.7 (-5.70)#4,289
83. 55105 34.0 39.2 (-5.20)#83 39.7 (-5.70)#4,293
84. 55413 34.0 39.2 (-5.20)#84 39.7 (-5.70)#4,309
85. 55117 34.1 39.2 (-5.10)#85 39.7 (-5.60)#4,353
86. 55398 34.1 39.2 (-5.10)#86 39.7 (-5.60)#4,380
87. 55307 34.4 39.2 (-4.80)#87 39.7 (-5.30)#4,615
88. 56245 34.4 39.2 (-4.80)#88 39.7 (-5.30)#4,629
89. 55615 34.5 39.2 (-4.70)#89 39.7 (-5.20)#4,701
90. 55119 34.6 39.2 (-4.60)#90 39.7 (-5.10)#4,724
91. 56284 34.6 39.2 (-4.60)#91 39.7 (-5.10)#4,781
92. 55941 34.6 39.2 (-4.60)#92 39.7 (-5.10)#4,796
93. 55352 34.7 39.2 (-4.50)#93 39.7 (-5.00)#4,862
94. 55375 34.7 39.2 (-4.50)#94 39.7 (-5.00)#4,875
95. 56054 34.7 39.2 (-4.50)#95 39.7 (-5.00)#4,886
96. 55354 34.8 39.2 (-4.40)#96 39.7 (-4.90)#4,955
97. 56673 34.8 39.2 (-4.40)#97 39.7 (-4.90)#4,972
98. 55150 34.8 39.2 (-4.40)#98 39.7 (-4.90)#4,980
99. 55401 34.9 39.2 (-4.30)#99 39.7 (-4.80)#5,023
100. 55027 34.9 39.2 (-4.30)#100 39.7 (-4.80)#5,045

Common Questions

What are the Top 10 Zip Codes with the Youngest Female Population in Minnesota?
Top 10 Zip Codes with the Youngest Female Population in Minnesota are:
#1
9.5
#2
13.3
#3
17.3
#4
18.9
#5
19.4
#6
19.5
#7
22.2
#8
22.6
#9
23.7
#10
25.4
What zip code has the Youngest Female Population in Minnesota?
56210 has the Youngest Female Population in Minnesota with 9.5.
What is the Median Female Age in the State of Minnesota?
Median Female Age in Minnesota is 39.2.
What is the Median Female Age in the United States?
Median Female Age in the United States is 39.7.