Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in North Dakota

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Highest Poverty | Girls 0-16
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 Child Poverty Level Among Girls Under the Age of 16 in North Dakota

0.0%
100.0%
Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in North Dakota Map

Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in North Dakota

Zip Code Child Poverty (Girls) vs State vs National
1. 58480 100.0% 11.8% (+88.2)#1 17.0% (+83.0)#272
2. 58056 100.0% 11.8% (+88.2)#2 17.0% (+83.0)#318
3. 58339 100.0% 11.8% (+88.2)#3 17.0% (+83.0)#396
4. 58794 89.5% 11.8% (+77.7)#4 17.0% (+72.5)#443
5. 58532 86.7% 11.8% (+74.9)#5 17.0% (+69.7)#470
6. 58348 69.6% 11.8% (+57.9)#6 17.0% (+52.7)#854
7. 58528 66.4% 11.8% (+54.6)#7 17.0% (+49.5)#979
8. 58418 61.5% 11.8% (+49.8)#8 17.0% (+44.6)#1,185
9. 58572 60.0% 11.8% (+48.2)#9 17.0% (+43.0)#1,265
10. 58757 57.2% 11.8% (+45.4)#10 17.0% (+40.2)#1,457
11. 58031 56.9% 11.8% (+45.1)#11 17.0% (+39.9)#1,489
12. 58571 56.0% 11.8% (+44.2)#12 17.0% (+39.0)#1,551
13. 58538 55.1% 11.8% (+43.3)#13 17.0% (+38.1)#1,608
14. 58230 54.9% 11.8% (+43.1)#14 17.0% (+37.9)#1,625
15. 58370 51.1% 11.8% (+39.3)#15 17.0% (+34.1)#1,962
16. 58520 46.2% 11.8% (+34.4)#16 17.0% (+29.2)#2,479
17. 58464 44.4% 11.8% (+32.7)#17 17.0% (+27.5)#2,675
18. 58765 42.9% 11.8% (+31.1)#18 17.0% (+25.9)#2,909
19. 58760 42.9% 11.8% (+31.1)#19 17.0% (+25.9)#2,911
20. 58442 42.3% 11.8% (+30.5)#20 17.0% (+25.3)#2,992
21. 58351 40.0% 11.8% (+28.2)#21 17.0% (+23.0)#3,378
22. 58329 38.7% 11.8% (+27.0)#22 17.0% (+21.8)#3,584
23. 58433 38.6% 11.8% (+26.8)#23 17.0% (+21.6)#3,609
24. 58357 38.2% 11.8% (+26.4)#24 17.0% (+21.3)#3,681
25. 58379 37.5% 11.8% (+25.7)#25 17.0% (+20.5)#3,832
26. 58770 36.6% 11.8% (+24.8)#26 17.0% (+19.6)#4,029
27. 58335 36.4% 11.8% (+24.7)#27 17.0% (+19.5)#4,049
28. 58054 36.1% 11.8% (+24.4)#28 17.0% (+19.2)#4,128
29. 58736 36.1% 11.8% (+24.3)#29 17.0% (+19.1)#4,132
30. 58301 34.8% 11.8% (+23.0)#30 17.0% (+17.8)#4,422
31. 58061 31.4% 11.8% (+19.6)#31 17.0% (+14.5)#5,344
32. 58545 31.3% 11.8% (+19.5)#32 17.0% (+14.3)#5,372
33. 58650 31.1% 11.8% (+19.3)#33 17.0% (+14.1)#5,423
34. 58361 30.4% 11.8% (+18.6)#34 17.0% (+13.5)#5,620
35. 58316 30.0% 11.8% (+18.2)#35 17.0% (+13.0)#5,762
36. 58562 29.4% 11.8% (+17.6)#36 17.0% (+12.4)#5,927
37. 58043 29.2% 11.8% (+17.4)#37 17.0% (+12.2)#6,007
38. 58529 28.9% 11.8% (+17.2)#38 17.0% (+12.0)#6,076
39. 58367 27.5% 11.8% (+15.8)#39 17.0% (+10.6)#6,547
40. 58210 26.9% 11.8% (+15.1)#40 17.0% (+9.95)#6,784
41. 58636 26.6% 11.8% (+14.8)#41 17.0% (+9.61)#6,900
42. 58533 26.5% 11.8% (+14.7)#42 17.0% (+9.55)#6,919
43. 58575 26.3% 11.8% (+14.5)#43 17.0% (+9.34)#6,993
44. 58623 26.1% 11.8% (+14.3)#44 17.0% (+9.11)#7,084
45. 58218 25.0% 11.8% (+13.2)#45 17.0% (+8.02)#7,545
46. 58630 25.0% 11.8% (+13.2)#46 17.0% (+8.02)#7,555
47. 58472 25.0% 11.8% (+13.2)#47 17.0% (+8.02)#7,561
48. 58752 25.0% 11.8% (+13.2)#48 17.0% (+8.02)#7,564
49. 58381 24.4% 11.8% (+12.6)#49 17.0% (+7.41)#7,799
50. 58458 23.3% 11.8% (+11.5)#50 17.0% (+6.28)#8,268
51. 58368 23.1% 11.8% (+11.3)#51 17.0% (+6.14)#8,306
52. 58203 23.1% 11.8% (+11.3)#52 17.0% (+6.14)#8,307
53. 58501 23.0% 11.8% (+11.2)#53 17.0% (+6.01)#8,382
54. 58103 21.9% 11.8% (+10.1)#54 17.0% (+4.93)#8,915
55. 58413 21.7% 11.8% (+9.88)#55 17.0% (+4.69)#9,022
56. 58254 21.4% 11.8% (+9.64)#56 17.0% (+4.45)#9,156
57. 58369 21.0% 11.8% (+9.18)#57 17.0% (+3.99)#9,373
58. 58621 20.4% 11.8% (+8.57)#58 17.0% (+3.38)#9,664
59. 58740 20.0% 11.8% (+8.21)#59 17.0% (+3.02)#9,857
60. 58438 20.0% 11.8% (+8.21)#60 17.0% (+3.02)#9,861
61. 58102 19.6% 11.8% (+7.84)#61 17.0% (+2.65)#10,056
62. 58330 19.0% 11.8% (+7.26)#62 17.0% (+2.07)#10,339
63. 58487 19.0% 11.8% (+7.18)#63 17.0% (+1.99)#10,373
64. 58344 18.8% 11.8% (+7.01)#64 17.0% (+1.82)#10,470
65. 58072 18.8% 11.8% (+6.98)#65 17.0% (+1.79)#10,480
66. 58341 18.4% 11.8% (+6.62)#66 17.0% (+1.43)#10,711
67. 58467 18.0% 11.8% (+6.25)#67 17.0% (+1.06)#10,919
68. 58622 17.4% 11.8% (+5.59)#68 17.0% (+0.397)#11,287
69. 58568 17.2% 11.8% (+5.45)#69 17.0% (+0.265)#11,378
70. 58544 16.7% 11.8% (+4.88)#70 17.0% (-0.309)#11,723
71. 58761 15.9% 11.8% (+4.14)#71 17.0% (-1.05)#12,163
72. 58030 15.4% 11.8% (+3.60)#72 17.0% (-1.59)#12,504
73. 58324 15.1% 11.8% (+3.28)#73 17.0% (-1.91)#12,701
74. 58104 15.0% 11.8% (+3.17)#74 17.0% (-2.01)#12,785
75. 58235 14.9% 11.8% (+3.16)#75 17.0% (-2.03)#12,804
76. 58352 14.5% 11.8% (+2.76)#76 17.0% (-2.43)#13,066
77. 58064 13.8% 11.8% (+2.06)#77 17.0% (-3.13)#13,530
78. 58577 13.7% 11.8% (+1.96)#78 17.0% (-3.23)#13,607
79. 58261 13.6% 11.8% (+1.85)#79 17.0% (-3.34)#13,669
80. 58570 13.3% 11.8% (+1.55)#80 17.0% (-3.64)#13,873
81. 58380 13.3% 11.8% (+1.55)#81 17.0% (-3.64)#13,874
82. 58046 12.9% 11.8% (+1.08)#82 17.0% (-4.10)#14,198
83. 58201 12.7% 11.8% (+0.876)#83 17.0% (-4.31)#14,340
84. 58653 12.5% 11.8% (+0.713)#84 17.0% (-4.48)#14,449
85. 58779 12.5% 11.8% (+0.713)#85 17.0% (-4.48)#14,456
86. 58222 12.5% 11.8% (+0.713)#86 17.0% (-4.48)#14,461
87. 58385 12.5% 11.8% (+0.713)#87 17.0% (-4.48)#14,463
88. 58853 12.3% 11.8% (+0.542)#88 17.0% (-4.65)#14,557
89. 58243 11.5% 11.8% (-0.248)#89 17.0% (-5.44)#15,102
90. 58482 11.5% 11.8% (-0.293)#90 17.0% (-5.48)#15,136
91. 58081 11.5% 11.8% (-0.329)#91 17.0% (-5.52)#15,168
92. 58461 11.4% 11.8% (-0.358)#92 17.0% (-5.55)#15,193
93. 58788 11.3% 11.8% (-0.537)#93 17.0% (-5.73)#15,302
94. 58504 11.2% 11.8% (-0.591)#94 17.0% (-5.78)#15,348
95. 58701 11.0% 11.8% (-0.793)#95 17.0% (-5.98)#15,520
96. 58763 11.0% 11.8% (-0.821)#96 17.0% (-6.01)#15,538
97. 58789 10.8% 11.8% (-1.02)#97 17.0% (-6.21)#15,680
98. 58854 10.7% 11.8% (-1.04)#98 17.0% (-6.23)#15,698
99. 58228 10.6% 11.8% (-1.20)#99 17.0% (-6.39)#15,811
100. 58041 9.8% 11.8% (-1.95)#100 17.0% (-7.14)#16,368

Common Questions

What are the Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in North Dakota?
Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in North Dakota are:
#1
100.0%
#2
100.0%
#3
100.0%
#4
89.5%
#5
86.7%
#6
69.6%
#7
66.4%
#8
61.5%
#9
60.0%
#10
57.2%
What zip code has the Highest Child Poverty Level Among Girls Under the Age of 16 in North Dakota?
58480 has the Highest Child Poverty Level Among Girls Under the Age of 16 in North Dakota with 100.0%.
What is the Poverty Level Among Girls Under the Age of 16 in the State of North Dakota?
Poverty Level Among Girls Under the Age of 16 in North Dakota is 11.8%.
What is the Poverty Level Among Girls Under the Age of 16 in the United States?
Poverty Level Among Girls Under the Age of 16 in the United States is 17.0%.