Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in North Dakota

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Highest Poverty | Female 25-34
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 Females Between Ages 25 and 34 in North Dakota

0.0%
100.0%
Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in North Dakota Map

Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in North Dakota

Zip Code Female Poverty vs State vs National
1. 58439 100.0% 10.7% (+89.3)#1 14.5% (+85.5)#308
2. 58794 100.0% 10.7% (+89.3)#2 14.5% (+85.5)#335
3. 58238 100.0% 10.7% (+89.3)#3 14.5% (+85.5)#418
4. 58357 90.5% 10.7% (+79.8)#4 14.5% (+76.0)#508
5. 58216 90.0% 10.7% (+79.3)#5 14.5% (+75.5)#514
6. 58329 81.0% 10.7% (+70.2)#6 14.5% (+66.5)#599
7. 58007 71.4% 10.7% (+60.7)#7 14.5% (+56.9)#765
8. 58528 69.7% 10.7% (+59.0)#8 14.5% (+55.2)#799
9. 58384 66.7% 10.7% (+55.9)#9 14.5% (+52.2)#890
10. 58533 65.5% 10.7% (+54.8)#10 14.5% (+51.0)#921
11. 58429 63.2% 10.7% (+52.4)#11 14.5% (+48.7)#991
12. 58461 62.5% 10.7% (+51.8)#12 14.5% (+48.0)#1,013
13. 58464 62.5% 10.7% (+51.8)#13 14.5% (+48.0)#1,021
14. 58853 56.7% 10.7% (+45.9)#14 14.5% (+42.2)#1,257
15. 58061 55.6% 10.7% (+44.8)#15 14.5% (+41.1)#1,306
16. 58765 50.0% 10.7% (+39.3)#16 14.5% (+35.5)#1,664
17. 58760 50.0% 10.7% (+39.3)#17 14.5% (+35.5)#1,676
18. 58643 50.0% 10.7% (+39.3)#18 14.5% (+35.5)#1,695
19. 58311 50.0% 10.7% (+39.3)#19 14.5% (+35.5)#1,700
20. 58538 48.8% 10.7% (+38.1)#20 14.5% (+34.3)#1,761
21. 58341 48.8% 10.7% (+38.0)#21 14.5% (+34.3)#1,765
22. 58736 47.6% 10.7% (+36.9)#22 14.5% (+33.1)#1,855
23. 58581 44.4% 10.7% (+33.7)#23 14.5% (+30.0)#2,178
24. 58324 42.9% 10.7% (+32.1)#24 14.5% (+28.4)#2,326
25. 58379 41.7% 10.7% (+30.9)#25 14.5% (+27.2)#2,484
26. 58031 40.0% 10.7% (+29.3)#26 14.5% (+25.5)#2,707
27. 58054 39.7% 10.7% (+29.0)#27 14.5% (+25.2)#2,748
28. 58064 38.7% 10.7% (+28.0)#28 14.5% (+24.2)#2,886
29. 58261 37.7% 10.7% (+27.0)#29 14.5% (+23.2)#3,044
30. 58788 36.4% 10.7% (+25.6)#30 14.5% (+21.9)#3,279
31. 58789 35.7% 10.7% (+25.0)#31 14.5% (+21.2)#3,423
32. 58370 35.5% 10.7% (+24.8)#32 14.5% (+21.0)#3,456
33. 58367 34.8% 10.7% (+24.1)#33 14.5% (+20.3)#3,592
34. 58418 34.2% 10.7% (+23.5)#34 14.5% (+19.7)#3,702
35. 58425 31.2% 10.7% (+20.5)#35 14.5% (+16.8)#4,378
36. 58413 31.1% 10.7% (+20.4)#36 14.5% (+16.7)#4,414
37. 58257 30.0% 10.7% (+19.3)#37 14.5% (+15.5)#4,683
38. 58529 30.0% 10.7% (+19.3)#38 14.5% (+15.5)#4,693
39. 58442 30.0% 10.7% (+19.3)#39 14.5% (+15.5)#4,697
40. 58448 30.0% 10.7% (+19.3)#40 14.5% (+15.5)#4,703
41. 58770 29.5% 10.7% (+18.8)#41 14.5% (+15.0)#4,863
42. 58763 28.0% 10.7% (+17.2)#42 14.5% (+13.5)#5,348
43. 58368 27.4% 10.7% (+16.7)#43 14.5% (+12.9)#5,541
44. 58575 27.3% 10.7% (+16.6)#44 14.5% (+12.8)#5,594
45. 58495 27.0% 10.7% (+16.3)#45 14.5% (+12.5)#5,705
46. 58775 26.1% 10.7% (+15.4)#46 14.5% (+11.6)#5,989
47. 58645 25.0% 10.7% (+14.3)#47 14.5% (+10.5)#6,440
48. 58027 23.6% 10.7% (+12.9)#48 14.5% (+9.12)#6,974
49. 58438 23.3% 10.7% (+12.6)#49 14.5% (+8.84)#7,101
50. 58335 22.6% 10.7% (+11.9)#50 14.5% (+8.09)#7,417
51. 58258 22.2% 10.7% (+11.5)#51 14.5% (+7.73)#7,618
52. 58545 22.1% 10.7% (+11.4)#52 14.5% (+7.59)#7,682
53. 58623 22.1% 10.7% (+11.4)#53 14.5% (+7.58)#7,685
54. 58048 21.4% 10.7% (+10.7)#54 14.5% (+6.93)#7,986
55. 58653 21.1% 10.7% (+10.3)#55 14.5% (+6.56)#8,181
56. 58650 21.1% 10.7% (+10.3)#56 14.5% (+6.56)#8,191
57. 58071 20.7% 10.7% (+9.97)#57 14.5% (+6.20)#8,380
58. 58467 20.6% 10.7% (+9.87)#58 14.5% (+6.09)#8,438
59. 58577 20.2% 10.7% (+9.45)#59 14.5% (+5.67)#8,647
60. 58424 20.0% 10.7% (+9.28)#60 14.5% (+5.51)#8,789
61. 58272 20.0% 10.7% (+9.28)#61 14.5% (+5.51)#8,800
62. 58638 19.6% 10.7% (+8.84)#62 14.5% (+5.07)#9,016
63. 58282 19.4% 10.7% (+8.63)#63 14.5% (+4.86)#9,151
64. 58530 19.0% 10.7% (+8.24)#64 14.5% (+4.47)#9,395
65. 58203 18.6% 10.7% (+7.87)#65 14.5% (+4.10)#9,606
66. 58630 18.5% 10.7% (+7.80)#66 14.5% (+4.02)#9,666
67. 58102 18.4% 10.7% (+7.63)#67 14.5% (+3.86)#9,752
68. 58103 18.0% 10.7% (+7.24)#68 14.5% (+3.47)#10,019
69. 58254 17.4% 10.7% (+6.67)#69 14.5% (+2.90)#10,359
70. 58523 16.7% 10.7% (+5.95)#70 14.5% (+2.17)#10,812
71. 58210 16.7% 10.7% (+5.95)#71 14.5% (+2.17)#10,869
72. 58433 16.2% 10.7% (+5.49)#72 14.5% (+1.72)#11,176
73. 58622 16.0% 10.7% (+5.28)#73 14.5% (+1.51)#11,319
74. 58366 15.3% 10.7% (+4.56)#74 14.5% (+0.784)#11,797
75. 58701 15.2% 10.7% (+4.46)#75 14.5% (+0.685)#11,866
76. 58570 15.0% 10.7% (+4.28)#76 14.5% (+0.506)#12,011
77. 58079 15.0% 10.7% (+4.28)#77 14.5% (+0.506)#12,012
78. 58243 14.3% 10.7% (+3.56)#78 14.5% (-0.208)#12,512
79. 58374 14.3% 10.7% (+3.56)#79 14.5% (-0.208)#12,513
80. 58490 14.3% 10.7% (+3.56)#80 14.5% (-0.208)#12,527
81. 58043 14.3% 10.7% (+3.56)#81 14.5% (-0.208)#12,535
82. 58501 13.9% 10.7% (+3.21)#82 14.5% (-0.560)#12,775
83. 58053 13.6% 10.7% (+2.91)#83 14.5% (-0.857)#12,976
84. 58222 13.3% 10.7% (+2.61)#84 14.5% (-1.16)#13,264
85. 58249 13.1% 10.7% (+2.36)#85 14.5% (-1.41)#13,433
86. 58271 13.0% 10.7% (+2.32)#86 14.5% (-1.45)#13,479
87. 58741 12.8% 10.7% (+2.10)#87 14.5% (-1.67)#13,638
88. 58456 12.5% 10.7% (+1.78)#88 14.5% (-1.99)#13,897
89. 58560 12.5% 10.7% (+1.78)#89 14.5% (-1.99)#13,911
90. 58482 12.0% 10.7% (+1.28)#90 14.5% (-2.49)#14,266
91. 58201 11.7% 10.7% (+0.966)#91 14.5% (-2.81)#14,527
92. 58601 11.4% 10.7% (+0.691)#92 14.5% (-3.08)#14,746
93. 58466 11.1% 10.7% (+0.390)#93 14.5% (-3.38)#15,040
94. 58301 11.1% 10.7% (+0.335)#94 14.5% (-3.44)#15,085
95. 58276 10.7% 10.7% (-0.007)#95 14.5% (-3.78)#15,388
96. 58015 10.5% 10.7% (-0.195)#96 14.5% (-3.97)#15,557
97. 58030 10.2% 10.7% (-0.517)#97 14.5% (-4.29)#15,824
98. 58316 10.1% 10.7% (-0.654)#98 14.5% (-4.43)#15,921
99. 58716 10.0% 10.7% (-0.722)#99 14.5% (-4.49)#16,017
100. 58016 10.0% 10.7% (-0.722)#100 14.5% (-4.49)#16,026

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in North Dakota?
Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in North Dakota are:
#1
100.0%
#2
100.0%
#3
100.0%
#4
90.5%
#5
90.0%
#6
81.0%
#7
71.4%
#8
69.7%
#9
66.7%
#10
65.5%
What zip code has the Highest Poverty Level Among Females Between Ages 25 and 34 in North Dakota?
58439 has the Highest Poverty Level Among Females Between Ages 25 and 34 in North Dakota with 100.0%.
What is the Poverty Level Among Females Between Ages 25 and 34 in the State of North Dakota?
Poverty Level Among Females Between Ages 25 and 34 in North Dakota is 10.7%.
What is the Poverty Level Among Females Between Ages 25 and 34 in the United States?
Poverty Level Among Females Between Ages 25 and 34 in the United States is 14.5%.