Zip Codes with the Youngest Female Population in North Dakota

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
North Dakota
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Youngest Female Population in North Dakota

40.0
0.0
Zip Codes with the Youngest Female Population in North Dakota Map

Zip Codes with the Youngest Female Population in North Dakota

Zip Code Median Age vs State vs National
1.587767.936.3(-28.4)#139.7(-31.8)#24
2.5833910.336.3(-26.0)#239.7(-29.4)#46
3.5876814.736.3(-21.6)#339.7(-25.0)#104
4.5833516.036.3(-20.3)#439.7(-23.7)#136
5.5837216.936.3(-19.4)#539.7(-22.8)#149
6.5810519.236.3(-17.1)#639.7(-20.5)#282
7.5832719.336.3(-17.0)#739.7(-20.4)#315
8.5820219.436.3(-16.9)#839.7(-20.3)#327
9.5807619.436.3(-16.9)#939.7(-20.3)#337
10.5870719.636.3(-16.7)#1039.7(-20.1)#387
11.5840519.936.3(-16.4)#1139.7(-19.8)#452
12.5820520.536.3(-15.8)#1239.7(-19.2)#536
13.5824120.536.3(-15.8)#1339.7(-19.2)#538
14.5856020.636.3(-15.7)#1439.7(-19.1)#555
15.5870521.436.3(-14.9)#1539.7(-18.3)#650
16.5852821.636.3(-14.7)#1639.7(-18.1)#682
17.5842021.836.3(-14.5)#1739.7(-17.9)#708
18.5870422.136.3(-14.2)#1839.7(-17.6)#747
19.5820422.336.3(-14.0)#1939.7(-17.4)#765
20.5847722.436.3(-13.9)#2039.7(-17.3)#780
21.5876223.636.3(-12.7)#2139.7(-16.1)#920
22.5803123.936.3(-12.4)#2239.7(-15.8)#958
23.5837924.836.3(-11.5)#2339.7(-14.9)#1,047
24.5837025.436.3(-10.9)#2439.7(-14.3)#1,107
25.5853825.736.3(-10.6)#2539.7(-14.0)#1,147
26.5885325.936.3(-10.4)#2639.7(-13.8)#1,181
27.5823526.536.3(-9.80)#2739.7(-13.2)#1,261
28.5842427.036.3(-9.30)#2839.7(-12.7)#1,355
29.5820328.236.3(-8.10)#2939.7(-11.5)#1,578
30.5856928.536.3(-7.80)#3039.7(-11.2)#1,679
31.5863629.036.3(-7.30)#3139.7(-10.7)#1,812
32.5856429.036.3(-7.30)#3239.7(-10.7)#1,822
33.5836629.236.3(-7.10)#3339.7(-10.5)#1,857
34.5847629.436.3(-6.90)#3439.7(-10.3)#1,904
35.5835529.436.3(-6.90)#3539.7(-10.3)#1,912
36.5885429.536.3(-6.80)#3639.7(-10.2)#1,919
37.5827729.536.3(-6.80)#3739.7(-10.2)#1,942
38.5844129.736.3(-6.60)#3839.7(-10.0)#2,004
39.5873730.136.3(-6.20)#3939.7(-9.60)#2,153
40.5832930.236.3(-6.10)#4039.7(-9.50)#2,173
41.5875730.336.3(-6.00)#4139.7(-9.40)#2,213
42.5810230.536.3(-5.80)#4239.7(-9.20)#2,279
43.5824430.536.3(-5.80)#4339.7(-9.20)#2,312
44.5844530.636.3(-5.70)#4439.7(-9.10)#2,348
45.5831630.736.3(-5.60)#4539.7(-9.00)#2,374
46.5878230.736.3(-5.60)#4639.7(-9.00)#2,386
47.5845531.036.3(-5.30)#4739.7(-8.70)#2,516
48.5880131.236.3(-5.10)#4839.7(-8.50)#2,564
49.5854931.536.3(-4.80)#4939.7(-8.20)#2,724
50.5879431.536.3(-4.80)#5039.7(-8.20)#2,727
51.5884731.636.3(-4.70)#5139.7(-8.10)#2,773
52.5807832.136.3(-4.20)#5239.7(-7.60)#3,008
53.5842232.236.3(-4.10)#5339.7(-7.50)#3,095
54.5805932.436.3(-3.90)#5439.7(-7.30)#3,195
55.5845632.536.3(-3.80)#5539.7(-7.20)#3,271
56.5856832.536.3(-3.80)#5639.7(-7.20)#3,274
57.5846432.736.3(-3.60)#5739.7(-7.00)#3,393
58.5857032.836.3(-3.50)#5839.7(-6.90)#3,454
59.5846132.836.3(-3.50)#5939.7(-6.90)#3,456
60.5805832.836.3(-3.50)#6039.7(-6.90)#3,469
61.5876332.936.3(-3.40)#6139.7(-6.80)#3,514
62.5838132.936.3(-3.40)#6239.7(-6.80)#3,544
63.5806733.436.3(-2.90)#6339.7(-6.30)#3,859
64.5884333.636.3(-2.70)#6439.7(-6.10)#4,009
65.5875033.736.3(-2.60)#6539.7(-6.00)#4,099
66.5810333.836.3(-2.50)#6639.7(-5.90)#4,106
67.5834433.836.3(-2.50)#6739.7(-5.90)#4,154
68.5806433.836.3(-2.50)#6839.7(-5.90)#4,165
69.5820133.936.3(-2.40)#6939.7(-5.80)#4,191
70.5831733.936.3(-2.40)#7039.7(-5.80)#4,268
71.5877134.036.3(-2.30)#7139.7(-5.70)#4,333
72.5810434.236.3(-2.10)#7239.7(-5.50)#4,434
73.5871134.236.3(-2.10)#7339.7(-5.50)#4,488
74.5877034.336.3(-2.00)#7439.7(-5.40)#4,547
75.5872234.536.3(-1.80)#7539.7(-5.20)#4,686
76.5800134.536.3(-1.80)#7639.7(-5.20)#4,706
77.5870334.636.3(-1.70)#7739.7(-5.10)#4,742
78.5841534.636.3(-1.70)#7839.7(-5.10)#4,812
79.5877834.736.3(-1.60)#7939.7(-5.00)#4,898
80.5860134.836.3(-1.50)#8039.7(-4.90)#4,927
81.5831134.836.3(-1.50)#8139.7(-4.90)#4,981
82.5863435.236.3(-1.10)#8239.7(-4.50)#5,342
83.5804635.336.3(-1.000)#8339.7(-4.40)#5,427
84.5858035.436.3(-0.900)#8439.7(-4.30)#5,531
85.5874035.536.3(-0.800)#8539.7(-4.20)#5,643
86.5848735.536.3(-0.800)#8639.7(-4.20)#5,649
87.5849435.536.3(-0.800)#8739.7(-4.20)#5,656
88.5848435.536.3(-0.800)#8839.7(-4.20)#5,671
89.5801235.636.3(-0.700)#8939.7(-4.10)#5,725
90.5862235.636.3(-0.700)#9039.7(-4.10)#5,733
91.5823135.636.3(-0.700)#9139.7(-4.10)#5,763
92.5878435.736.3(-0.600)#9239.7(-4.00)#5,846
93.5864735.936.3(-0.400)#9339.7(-3.80)#6,079
94.5805136.036.3(-0.300)#9439.7(-3.70)#6,181
95.5870136.136.3(-0.200)#9539.7(-3.60)#6,229
96.5850436.236.3(-0.100)#9639.7(-3.50)#6,335
97.5804236.436.3(+0.100)#9739.7(-3.30)#6,609
98.5883136.536.3(+0.200)#9839.7(-3.20)#6,718
99.5800436.536.3(+0.200)#9939.7(-3.20)#6,739
100.5856636.536.3(+0.200)#10039.7(-3.20)#6,744

Common Questions

What are the Top 10 Zip Codes with the Youngest Female Population in North Dakota?
Top 10 Zip Codes with the Youngest Female Population in North Dakota are:
#1
7.9
#2
10.3
#3
14.7
#4
16.0
#5
16.9
#6
19.2
#7
19.3
#8
19.4
#9
19.4
#10
19.6
What zip code has the Youngest Female Population in North Dakota?
58776 has the Youngest Female Population in North Dakota with 7.9.
What is the Median Female Age in the State of North Dakota?
Median Female Age in North Dakota is 36.3.
What is the Median Female Age in the United States?
Median Female Age in the United States is 39.7.