Zip Codes with the Highest Female Poverty Level in North Dakota

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Highest 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 Highest Female Poverty Level in North Dakota

0.0%
100.0%
Zip Codes with the Highest Female Poverty Level in North Dakota Map

Zip Codes with the Highest Female Poverty Level in North Dakota

Zip Code Female Poverty vs State vs National
1. 58339 100.0% 11.8% (+88.2)#1 13.7% (+86.3)#80
2. 58202 69.6% 11.8% (+57.7)#2 13.7% (+55.9)#242
3. 58794 62.5% 11.8% (+50.7)#3 13.7% (+48.8)#337
4. 58641 60.0% 11.8% (+48.2)#4 13.7% (+46.3)#382
5. 58528 59.6% 11.8% (+47.8)#5 13.7% (+45.9)#393
6. 58439 54.0% 11.8% (+42.2)#6 13.7% (+40.3)#525
7. 58065 50.0% 11.8% (+38.2)#7 13.7% (+36.3)#668
8. 58538 44.3% 11.8% (+32.5)#8 13.7% (+30.6)#941
9. 58379 40.6% 11.8% (+28.7)#9 13.7% (+26.9)#1,199
10. 58335 40.4% 11.8% (+28.6)#10 13.7% (+26.7)#1,211
11. 58370 39.9% 11.8% (+28.1)#11 13.7% (+26.2)#1,252
12. 58331 39.2% 11.8% (+27.4)#12 13.7% (+25.5)#1,311
13. 58329 37.5% 11.8% (+25.7)#13 13.7% (+23.8)#1,475
14. 58532 36.7% 11.8% (+24.8)#14 13.7% (+23.0)#1,583
15. 58475 32.8% 11.8% (+20.9)#15 13.7% (+19.1)#2,207
16. 58357 31.6% 11.8% (+19.7)#16 13.7% (+17.9)#2,446
17. 58572 28.8% 11.8% (+17.0)#17 13.7% (+15.1)#3,125
18. 58461 28.4% 11.8% (+16.5)#18 13.7% (+14.7)#3,264
19. 58757 28.2% 11.8% (+16.4)#19 13.7% (+14.5)#3,303
20. 58330 27.6% 11.8% (+15.8)#20 13.7% (+13.9)#3,487
21. 58031 27.4% 11.8% (+15.6)#21 13.7% (+13.7)#3,538
22. 58750 27.0% 11.8% (+15.2)#22 13.7% (+13.3)#3,699
23. 58423 26.9% 11.8% (+15.1)#23 13.7% (+13.2)#3,732
24. 58311 26.7% 11.8% (+14.8)#24 13.7% (+13.0)#3,807
25. 58760 25.6% 11.8% (+13.8)#25 13.7% (+11.9)#4,221
26. 58442 25.4% 11.8% (+13.6)#26 13.7% (+11.7)#4,282
27. 58273 25.0% 11.8% (+13.2)#27 13.7% (+11.3)#4,476
28. 58241 24.7% 11.8% (+12.9)#28 13.7% (+11.0)#4,603
29. 58203 24.7% 11.8% (+12.9)#29 13.7% (+11.0)#4,605
30. 58464 24.5% 11.8% (+12.7)#30 13.7% (+10.8)#4,679
31. 58348 24.5% 11.8% (+12.7)#31 13.7% (+10.8)#4,681
32. 58316 24.3% 11.8% (+12.5)#32 13.7% (+10.6)#4,751
33. 58571 24.0% 11.8% (+12.2)#33 13.7% (+10.3)#4,898
34. 58487 23.8% 11.8% (+11.9)#34 13.7% (+10.1)#5,028
35. 58636 23.2% 11.8% (+11.4)#35 13.7% (+9.51)#5,302
36. 58770 22.5% 11.8% (+10.7)#36 13.7% (+8.85)#5,628
37. 58344 22.0% 11.8% (+10.2)#37 13.7% (+8.32)#5,946
38. 58367 22.0% 11.8% (+10.2)#38 13.7% (+8.29)#5,957
39. 58007 21.3% 11.8% (+9.45)#39 13.7% (+7.58)#6,403
40. 58352 21.3% 11.8% (+9.44)#40 13.7% (+7.57)#6,409
41. 58230 21.1% 11.8% (+9.25)#41 13.7% (+7.37)#6,534
42. 58765 20.8% 11.8% (+9.01)#42 13.7% (+7.13)#6,685
43. 58061 20.6% 11.8% (+8.82)#43 13.7% (+6.95)#6,822
44. 58779 20.3% 11.8% (+8.44)#44 13.7% (+6.57)#7,080
45. 58102 20.1% 11.8% (+8.30)#45 13.7% (+6.43)#7,181
46. 58418 20.1% 11.8% (+8.28)#46 13.7% (+6.40)#7,191
47. 58529 19.5% 11.8% (+7.68)#47 13.7% (+5.81)#7,611
48. 58429 19.3% 11.8% (+7.50)#48 13.7% (+5.63)#7,750
49. 58458 19.1% 11.8% (+7.27)#49 13.7% (+5.40)#7,940
50. 58788 19.1% 11.8% (+7.26)#50 13.7% (+5.38)#7,948
51. 58216 18.9% 11.8% (+7.09)#51 13.7% (+5.22)#8,081
52. 58056 18.6% 11.8% (+6.75)#52 13.7% (+4.87)#8,368
53. 58763 18.5% 11.8% (+6.70)#53 13.7% (+4.83)#8,411
54. 58029 18.5% 11.8% (+6.69)#54 13.7% (+4.82)#8,423
55. 58710 18.5% 11.8% (+6.65)#55 13.7% (+4.78)#8,452
56. 58413 18.4% 11.8% (+6.56)#56 13.7% (+4.68)#8,517
57. 58332 18.3% 11.8% (+6.43)#57 13.7% (+4.56)#8,627
58. 58433 18.1% 11.8% (+6.25)#58 13.7% (+4.38)#8,769
59. 58317 17.9% 11.8% (+6.12)#59 13.7% (+4.25)#8,897
60. 58520 17.7% 11.8% (+5.87)#60 13.7% (+4.00)#9,113
61. 58650 17.3% 11.8% (+5.45)#61 13.7% (+3.58)#9,491
62. 58057 16.9% 11.8% (+5.06)#62 13.7% (+3.18)#9,862
63. 58243 16.9% 11.8% (+5.05)#63 13.7% (+3.17)#9,870
64. 58533 16.8% 11.8% (+5.02)#64 13.7% (+3.15)#9,892
65. 58301 16.5% 11.8% (+4.70)#65 13.7% (+2.83)#10,249
66. 58570 16.5% 11.8% (+4.70)#66 13.7% (+2.82)#10,255
67. 58620 16.5% 11.8% (+4.63)#67 13.7% (+2.76)#10,308
68. 58103 16.4% 11.8% (+4.61)#68 13.7% (+2.74)#10,322
69. 58575 16.3% 11.8% (+4.48)#69 13.7% (+2.61)#10,459
70. 58736 16.3% 11.8% (+4.44)#70 13.7% (+2.57)#10,487
71. 58530 16.1% 11.8% (+4.31)#71 13.7% (+2.44)#10,620
72. 58075 16.1% 11.8% (+4.26)#72 13.7% (+2.38)#10,674
73. 58365 15.9% 11.8% (+4.12)#73 13.7% (+2.24)#10,849
74. 58054 15.7% 11.8% (+3.87)#74 13.7% (+2.00)#11,090
75. 58072 15.7% 11.8% (+3.86)#75 13.7% (+1.99)#11,106
76. 58479 15.5% 11.8% (+3.67)#76 13.7% (+1.79)#11,308
77. 58501 15.3% 11.8% (+3.47)#77 13.7% (+1.60)#11,531
78. 58368 14.9% 11.8% (+3.03)#78 13.7% (+1.16)#12,022
79. 58701 14.8% 11.8% (+3.00)#79 13.7% (+1.13)#12,055
80. 58374 14.7% 11.8% (+2.84)#80 13.7% (+0.968)#12,232
81. 58356 14.6% 11.8% (+2.81)#81 13.7% (+0.941)#12,274
82. 58467 14.6% 11.8% (+2.81)#82 13.7% (+0.935)#12,285
83. 58346 14.6% 11.8% (+2.81)#83 13.7% (+0.935)#12,286
84. 58401 14.6% 11.8% (+2.80)#84 13.7% (+0.925)#12,301
85. 58249 14.5% 11.8% (+2.66)#85 13.7% (+0.791)#12,456
86. 58324 14.5% 11.8% (+2.63)#86 13.7% (+0.761)#12,491
87. 58210 14.3% 11.8% (+2.46)#87 13.7% (+0.587)#12,693
88. 58338 14.3% 11.8% (+2.46)#88 13.7% (+0.587)#12,703
89. 58623 14.1% 11.8% (+2.30)#89 13.7% (+0.428)#12,875
90. 58351 14.0% 11.8% (+2.20)#90 13.7% (+0.325)#13,005
91. 58341 14.0% 11.8% (+2.16)#91 13.7% (+0.285)#13,050
92. 58064 13.9% 11.8% (+2.06)#92 13.7% (+0.190)#13,181
93. 58545 13.9% 11.8% (+2.04)#93 13.7% (+0.164)#13,209
94. 58497 13.8% 11.8% (+2.00)#94 13.7% (+0.131)#13,245
95. 58490 13.7% 11.8% (+1.91)#95 13.7% (+0.041)#13,356
96. 58653 13.7% 11.8% (+1.91)#96 13.7% (+0.039)#13,359
97. 58201 13.7% 11.8% (+1.83)#97 13.7% (-0.041)#13,458
98. 58313 13.6% 11.8% (+1.81)#98 13.7% (-0.063)#13,492
99. 58622 13.6% 11.8% (+1.79)#99 13.7% (-0.081)#13,512
100. 58269 13.6% 11.8% (+1.73)#100 13.7% (-0.140)#13,593

Common Questions

What are the Top 10 Zip Codes with the Highest Female Poverty Level in North Dakota?
Top 10 Zip Codes with the Highest Female Poverty Level in North Dakota are:
#1
100.0%
#2
69.6%
#3
62.5%
#4
60.0%
#5
59.6%
#6
54.0%
#7
50.0%
#8
44.3%
#9
40.6%
#10
40.4%
What zip code has the Highest Female Poverty Level in North Dakota?
58339 has the Highest Female Poverty Level in North Dakota with 100.0%.
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%.