Zip Codes with the Lowest Female Poverty Level in North Dakota

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Lowest Poverty | 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 Lowest Female Poverty Level in North Dakota

6.0%
0.0%
Zip Codes with the Lowest Female Poverty Level in North Dakota Map

Zip Codes with the Lowest Female Poverty Level in North Dakota

Zip Code Female Poverty vs State vs National
1.580180.45%11.8%(-11.4)#113.7%(-13.2)#41
2.580420.59%11.8%(-11.2)#213.7%(-13.1)#73
3.587580.67%11.8%(-11.2)#313.7%(-13.0)#93
4.585660.68%11.8%(-11.1)#413.7%(-13.0)#97
5.580050.76%11.8%(-11.1)#513.7%(-12.9)#115
6.586550.77%11.8%(-11.1)#613.7%(-12.9)#121
7.585210.81%11.8%(-11.0)#713.7%(-12.9)#135
8.580380.83%11.8%(-11.0)#813.7%(-12.9)#144
9.585490.84%11.8%(-11.0)#913.7%(-12.9)#147
10.586540.86%11.8%(-11.0)#1013.7%(-12.8)#155
11.587110.92%11.8%(-10.9)#1113.7%(-12.8)#174
12.582601.0%11.8%(-10.8)#1213.7%(-12.7)#200
13.587371.1%11.8%(-10.7)#1313.7%(-12.6)#248
14.586511.1%11.8%(-10.7)#1413.7%(-12.6)#255
15.587681.2%11.8%(-10.6)#1513.7%(-12.5)#275
16.582581.2%11.8%(-10.6)#1613.7%(-12.5)#279
17.587251.3%11.8%(-10.6)#1713.7%(-12.4)#292
18.584661.3%11.8%(-10.5)#1813.7%(-12.4)#303
19.580061.3%11.8%(-10.5)#1913.7%(-12.4)#306
20.587931.4%11.8%(-10.4)#2013.7%(-12.3)#338
21.580681.4%11.8%(-10.4)#2113.7%(-12.3)#353
22.587691.5%11.8%(-10.3)#2213.7%(-12.2)#399
23.580671.6%11.8%(-10.2)#2313.7%(-12.1)#451
24.584311.7%11.8%(-10.2)#2413.7%(-12.0)#483
25.582651.8%11.8%(-10.0)#2513.7%(-11.9)#551
26.586261.8%11.8%(-10.0)#2613.7%(-11.9)#566
27.586251.8%11.8%(-9.99)#2713.7%(-11.9)#577
28.588301.9%11.8%(-9.94)#2813.7%(-11.8)#615
29.587591.9%11.8%(-9.93)#2913.7%(-11.8)#619
30.582722.0%11.8%(-9.83)#3013.7%(-11.7)#686
31.587312.1%11.8%(-9.77)#3113.7%(-11.6)#730
32.584222.1%11.8%(-9.74)#3213.7%(-11.6)#749
33.582752.1%11.8%(-9.69)#3313.7%(-11.6)#783
34.580522.2%11.8%(-9.60)#3413.7%(-11.5)#833
35.580152.3%11.8%(-9.57)#3513.7%(-11.4)#856
36.584862.3%11.8%(-9.53)#3613.7%(-11.4)#888
37.584242.3%11.8%(-9.50)#3713.7%(-11.4)#912
38.583272.4%11.8%(-9.44)#3813.7%(-11.3)#951
39.587042.4%11.8%(-9.41)#3913.7%(-11.3)#986
40.587302.4%11.8%(-9.38)#4013.7%(-11.3)#999
41.587832.5%11.8%(-9.35)#4113.7%(-11.2)#1,024
42.582742.5%11.8%(-9.34)#4213.7%(-11.2)#1,029
43.582562.5%11.8%(-9.31)#4313.7%(-11.2)#1,045
44.585802.5%11.8%(-9.30)#4413.7%(-11.2)#1,056
45.580162.5%11.8%(-9.28)#4513.7%(-11.2)#1,073
46.587922.6%11.8%(-9.24)#4613.7%(-11.1)#1,105
47.584412.6%11.8%(-9.22)#4713.7%(-11.1)#1,123
48.587622.7%11.8%(-9.12)#4813.7%(-11.0)#1,211
49.583212.7%11.8%(-9.12)#4913.7%(-11.0)#1,212
50.587352.7%11.8%(-9.09)#5013.7%(-11.0)#1,238
51.584942.7%11.8%(-9.09)#5113.7%(-11.0)#1,239
52.588432.8%11.8%(-9.06)#5213.7%(-10.9)#1,264
53.580592.9%11.8%(-8.91)#5313.7%(-10.8)#1,425
54.580472.9%11.8%(-8.89)#5413.7%(-10.8)#1,435
55.580772.9%11.8%(-8.88)#5513.7%(-10.8)#1,455
56.585583.1%11.8%(-8.71)#5613.7%(-10.6)#1,605
57.587853.2%11.8%(-8.67)#5713.7%(-10.5)#1,654
58.584763.2%11.8%(-8.62)#5813.7%(-10.5)#1,708
59.588453.4%11.8%(-8.44)#5913.7%(-10.3)#1,898
60.584433.4%11.8%(-8.38)#6013.7%(-10.3)#1,975
61.584453.5%11.8%(-8.34)#6113.7%(-10.2)#2,013
62.583723.5%11.8%(-8.32)#6213.7%(-10.2)#2,036
63.587163.6%11.8%(-8.25)#6313.7%(-10.1)#2,110
64.587813.6%11.8%(-8.22)#6413.7%(-10.1)#2,152
65.586323.6%11.8%(-8.20)#6513.7%(-10.1)#2,168
66.587223.7%11.8%(-8.17)#6613.7%(-10.0)#2,198
67.582253.7%11.8%(-8.14)#6713.7%(-10.0)#2,247
68.588313.7%11.8%(-8.09)#6813.7%(-9.96)#2,289
69.584553.7%11.8%(-8.09)#6913.7%(-9.96)#2,292
70.586403.7%11.8%(-8.08)#7013.7%(-9.96)#2,300
71.582403.8%11.8%(-8.07)#7113.7%(-9.95)#2,312
72.584923.8%11.8%(-8.06)#7213.7%(-9.94)#2,322
73.587213.8%11.8%(-8.04)#7313.7%(-9.92)#2,350
74.582623.8%11.8%(-7.98)#7413.7%(-9.85)#2,420
75.587183.9%11.8%(-7.93)#7513.7%(-9.81)#2,475
76.580124.0%11.8%(-7.83)#7613.7%(-9.70)#2,601
77.580634.0%11.8%(-7.83)#7713.7%(-9.70)#2,605
78.584204.1%11.8%(-7.74)#7813.7%(-9.62)#2,711
79.580084.1%11.8%(-7.70)#7913.7%(-9.58)#2,762
80.580534.2%11.8%(-7.65)#8013.7%(-9.53)#2,823
81.587844.2%11.8%(-7.63)#8113.7%(-9.51)#2,856
82.585654.3%11.8%(-7.57)#8213.7%(-9.44)#2,936
83.582384.3%11.8%(-7.57)#8313.7%(-9.44)#2,937
84.580604.3%11.8%(-7.55)#8413.7%(-9.42)#2,977
85.580214.3%11.8%(-7.49)#8513.7%(-9.37)#3,043
86.580514.4%11.8%(-7.40)#8613.7%(-9.27)#3,168
87.585314.5%11.8%(-7.37)#8713.7%(-9.24)#3,214
88.580324.5%11.8%(-7.32)#8813.7%(-9.19)#3,282
89.582314.5%11.8%(-7.28)#8913.7%(-9.15)#3,340
90.583454.5%11.8%(-7.28)#9013.7%(-9.15)#3,346
91.584604.5%11.8%(-7.28)#9113.7%(-9.15)#3,349
92.585414.6%11.8%(-7.23)#9213.7%(-9.10)#3,418
93.580134.7%11.8%(-7.17)#9313.7%(-9.05)#3,498
94.580624.7%11.8%(-7.14)#9413.7%(-9.01)#3,554
95.584514.8%11.8%(-7.06)#9513.7%(-8.94)#3,659
96.587234.8%11.8%(-7.01)#9613.7%(-8.88)#3,738
97.580694.8%11.8%(-6.99)#9713.7%(-8.86)#3,763
98.583855.1%11.8%(-6.78)#9813.7%(-8.65)#4,068
99.587415.1%11.8%(-6.77)#9913.7%(-8.64)#4,076
100.582595.1%11.8%(-6.77)#10013.7%(-8.64)#4,080

Common Questions

What are the Top 10 Zip Codes with the Lowest Female Poverty Level in North Dakota?
Top 10 Zip Codes with the Lowest Female Poverty Level in North Dakota are:
#1
0.45%
#2
0.59%
#3
0.67%
#4
0.68%
#5
0.76%
#6
0.77%
#7
0.81%
#8
0.83%
#9
0.84%
#10
0.86%
What zip code has the Lowest Female Poverty Level in North Dakota?
58018 has the Lowest Female Poverty Level in North Dakota with 0.45%.
What is the Poverty Level Among Females in the State of North Dakota?
Poverty Level Among Females in North Dakota is 11.8%.
What is the Poverty Level Among Females in the United States?
Poverty Level Among Females in the United States is 13.7%.