Zip Codes with the Highest Poverty Level Among Single Females in North Dakota

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Highest Poverty | Single 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 Poverty Level Among Single Females in North Dakota

20.0%
100.0%
Zip Codes with the Highest Poverty Level Among Single Females in North Dakota Map

Zip Codes with the Highest Poverty Level Among Single Females in North Dakota

Zip Code Single Female Poverty vs State vs National
1. 58046 100.0% 23.4% (+76.6)#1 24.1% (+75.9)#198
2. 58461 100.0% 23.4% (+76.6)#2 24.1% (+75.9)#336
3. 58559 100.0% 23.4% (+76.6)#3 24.1% (+75.9)#389
4. 58765 100.0% 23.4% (+76.6)#4 24.1% (+75.9)#401
5. 58331 100.0% 23.4% (+76.6)#5 24.1% (+75.9)#573
6. 58062 100.0% 23.4% (+76.6)#6 24.1% (+75.9)#590
7. 58643 100.0% 23.4% (+76.6)#7 24.1% (+75.9)#621
8. 58475 100.0% 23.4% (+76.6)#8 24.1% (+75.9)#624
9. 58013 100.0% 23.4% (+76.6)#9 24.1% (+75.9)#635
10. 58339 100.0% 23.4% (+76.6)#10 24.1% (+75.9)#702
11. 58750 94.4% 23.4% (+71.0)#11 24.1% (+70.4)#722
12. 58636 89.1% 23.4% (+65.7)#12 24.1% (+65.1)#781
13. 58779 88.9% 23.4% (+65.5)#13 24.1% (+64.8)#788
14. 58348 87.8% 23.4% (+64.4)#14 24.1% (+63.7)#797
15. 58487 87.5% 23.4% (+64.1)#15 24.1% (+63.4)#806
16. 58532 85.7% 23.4% (+62.3)#16 24.1% (+61.6)#851
17. 58344 84.6% 23.4% (+61.2)#17 24.1% (+60.5)#870
18. 58442 84.6% 23.4% (+61.2)#18 24.1% (+60.5)#873
19. 58282 80.0% 23.4% (+56.6)#19 24.1% (+55.9)#991
20. 58752 80.0% 23.4% (+56.6)#20 24.1% (+55.9)#1,002
21. 58571 79.2% 23.4% (+55.8)#21 24.1% (+55.1)#1,022
22. 58782 75.0% 23.4% (+51.6)#22 24.1% (+50.9)#1,155
23. 58064 75.0% 23.4% (+51.6)#23 24.1% (+50.9)#1,159
24. 58455 72.7% 23.4% (+49.3)#24 24.1% (+48.7)#1,261
25. 58357 70.4% 23.4% (+47.0)#25 24.1% (+46.3)#1,368
26. 58528 69.3% 23.4% (+45.9)#26 24.1% (+45.3)#1,418
27. 58788 68.9% 23.4% (+45.5)#27 24.1% (+44.8)#1,446
28. 58418 68.4% 23.4% (+45.0)#28 24.1% (+44.3)#1,474
29. 58630 66.7% 23.4% (+43.3)#29 24.1% (+42.6)#1,593
30. 58466 66.7% 23.4% (+43.3)#30 24.1% (+42.6)#1,594
31. 58061 66.7% 23.4% (+43.3)#31 24.1% (+42.6)#1,611
32. 58649 66.7% 23.4% (+43.3)#32 24.1% (+42.6)#1,615
33. 58368 63.0% 23.4% (+39.6)#33 24.1% (+38.9)#1,884
34. 58533 56.5% 23.4% (+33.1)#34 24.1% (+32.4)#2,516
35. 58710 52.9% 23.4% (+29.5)#35 24.1% (+28.9)#2,966
36. 58356 52.6% 23.4% (+29.2)#36 24.1% (+28.6)#3,011
37. 58621 51.9% 23.4% (+28.4)#37 24.1% (+27.8)#3,111
38. 58335 51.7% 23.4% (+28.3)#38 24.1% (+27.6)#3,134
39. 58530 51.6% 23.4% (+28.2)#39 24.1% (+27.5)#3,147
40. 58623 50.0% 23.4% (+26.6)#40 24.1% (+25.9)#3,345
41. 58736 50.0% 23.4% (+26.6)#41 24.1% (+25.9)#3,480
42. 58031 50.0% 23.4% (+26.6)#42 24.1% (+25.9)#3,494
43. 58654 50.0% 23.4% (+26.6)#43 24.1% (+25.9)#3,526
44. 58329 49.2% 23.4% (+25.8)#44 24.1% (+25.1)#3,643
45. 58852 48.9% 23.4% (+25.5)#45 24.1% (+24.9)#3,683
46. 58370 45.7% 23.4% (+22.3)#46 24.1% (+21.6)#4,281
47. 58704 45.5% 23.4% (+22.1)#47 24.1% (+21.4)#4,323
48. 58495 45.5% 23.4% (+22.1)#48 24.1% (+21.4)#4,334
49. 58271 45.5% 23.4% (+22.1)#49 24.1% (+21.4)#4,343
50. 58301 45.0% 23.4% (+21.6)#50 24.1% (+20.9)#4,429
51. 58421 44.9% 23.4% (+21.5)#51 24.1% (+20.9)#4,459
52. 58653 44.4% 23.4% (+21.0)#52 24.1% (+20.4)#4,574
53. 58545 44.0% 23.4% (+20.6)#53 24.1% (+19.9)#4,681
54. 58341 43.9% 23.4% (+20.5)#54 24.1% (+19.8)#4,705
55. 58538 43.3% 23.4% (+19.9)#55 24.1% (+19.2)#4,865
56. 58843 42.9% 23.4% (+19.5)#56 24.1% (+18.8)#4,962
57. 58631 42.4% 23.4% (+19.0)#57 24.1% (+18.3)#5,085
58. 58374 40.9% 23.4% (+17.5)#58 24.1% (+16.8)#5,495
59. 58561 40.0% 23.4% (+16.6)#59 24.1% (+15.9)#5,761
60. 58492 40.0% 23.4% (+16.6)#60 24.1% (+15.9)#5,796
61. 58204 38.5% 23.4% (+15.1)#61 24.1% (+14.4)#6,234
62. 58366 38.5% 23.4% (+15.1)#62 24.1% (+14.4)#6,245
63. 58261 37.9% 23.4% (+14.5)#63 24.1% (+13.9)#6,390
64. 58379 37.9% 23.4% (+14.5)#64 24.1% (+13.9)#6,393
65. 58544 37.5% 23.4% (+14.1)#65 24.1% (+13.4)#6,547
66. 58570 37.5% 23.4% (+14.1)#66 24.1% (+13.4)#6,555
67. 58501 36.2% 23.4% (+12.8)#67 24.1% (+12.1)#6,967
68. 58540 34.8% 23.4% (+11.4)#68 24.1% (+10.8)#7,475
69. 58081 33.3% 23.4% (+9.93)#69 24.1% (+9.26)#8,072
70. 58741 33.3% 23.4% (+9.93)#70 24.1% (+9.26)#8,085
71. 58332 33.3% 23.4% (+9.93)#71 24.1% (+9.26)#8,143
72. 58222 33.3% 23.4% (+9.93)#72 24.1% (+9.26)#8,146
73. 58027 31.7% 23.4% (+8.30)#73 24.1% (+7.63)#8,793
74. 58770 31.4% 23.4% (+8.03)#74 24.1% (+7.35)#8,902
75. 58318 31.3% 23.4% (+7.92)#75 24.1% (+7.25)#8,940
76. 58413 31.0% 23.4% (+7.63)#76 24.1% (+6.96)#9,063
77. 58761 30.8% 23.4% (+7.37)#77 24.1% (+6.69)#9,173
78. 58581 30.8% 23.4% (+7.37)#78 24.1% (+6.69)#9,190
79. 58257 30.5% 23.4% (+7.09)#79 24.1% (+6.41)#9,295
80. 58030 30.4% 23.4% (+7.03)#80 24.1% (+6.36)#9,328
81. 58210 30.0% 23.4% (+6.60)#81 24.1% (+5.92)#9,550
82. 58103 29.2% 23.4% (+5.76)#82 24.1% (+5.08)#9,952
83. 58075 29.0% 23.4% (+5.64)#83 24.1% (+4.96)#10,008
84. 58401 28.2% 23.4% (+4.80)#84 24.1% (+4.12)#10,443
85. 58763 28.0% 23.4% (+4.61)#85 24.1% (+3.94)#10,517
86. 58626 27.3% 23.4% (+3.87)#86 24.1% (+3.20)#10,931
87. 58701 26.7% 23.4% (+3.27)#87 24.1% (+2.60)#11,199
88. 58568 26.3% 23.4% (+2.91)#88 24.1% (+2.24)#11,409
89. 58316 25.9% 23.4% (+2.46)#89 24.1% (+1.78)#11,643
90. 58102 25.7% 23.4% (+2.30)#90 24.1% (+1.62)#11,731
91. 58203 25.5% 23.4% (+2.13)#91 24.1% (+1.46)#11,833
92. 58367 25.4% 23.4% (+1.99)#92 24.1% (+1.32)#11,898
93. 58270 25.3% 23.4% (+1.93)#93 24.1% (+1.26)#11,938
94. 58104 25.0% 23.4% (+1.60)#94 24.1% (+0.924)#12,048
95. 58458 25.0% 23.4% (+1.60)#95 24.1% (+0.924)#12,118
96. 58572 25.0% 23.4% (+1.60)#96 24.1% (+0.924)#12,184
97. 58575 24.5% 23.4% (+1.09)#97 24.1% (+0.413)#12,433
98. 58072 24.4% 23.4% (+0.988)#98 24.1% (+0.314)#12,474
99. 58324 24.4% 23.4% (+0.988)#99 24.1% (+0.314)#12,483
100. 58853 24.1% 23.4% (+0.736)#100 24.1% (+0.061)#12,608

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Single Females in North Dakota?
Top 10 Zip Codes with the Highest Poverty Level Among Single Females in North Dakota are:
#1
100.0%
#2
100.0%
#3
100.0%
#4
100.0%
#5
100.0%
#6
100.0%
#7
100.0%
#8
100.0%
#9
100.0%
#10
100.0%
What zip code has the Highest Poverty Level Among Single Females in North Dakota?
58046 has the Highest Poverty Level Among Single Females in North Dakota with 100.0%.
What is the Poverty Level Among Single Females in the State of North Dakota?
Poverty Level Among Single Females in North Dakota is 23.4%.
What is the Poverty Level Among Single Females in the United States?
Poverty Level Among Single Females in the United States is 24.1%.