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

RELATED REPORTS & OPTIONS

Highest Poverty | Child 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 Poverty Level Among Children Under the Age of 16 in North Dakota

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

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

Zip Code Child Poverty vs State vs National
1. 58062 100.0% 11.2% (+88.8)#1 16.9% (+83.1)#184
2. 58239 100.0% 11.2% (+88.8)#2 16.9% (+83.1)#285
3. 58439 88.9% 11.2% (+77.7)#3 16.9% (+71.9)#349
4. 58339 81.8% 11.2% (+70.6)#4 16.9% (+64.9)#453
5. 58528 70.0% 11.2% (+58.7)#5 16.9% (+53.0)#715
6. 58794 67.1% 11.2% (+55.9)#6 16.9% (+50.2)#803
7. 58031 66.4% 11.2% (+55.1)#7 16.9% (+49.4)#834
8. 58056 63.6% 11.2% (+52.4)#8 16.9% (+46.7)#941
9. 58757 62.0% 11.2% (+50.8)#9 16.9% (+45.1)#1,002
10. 58351 60.0% 11.2% (+48.8)#10 16.9% (+43.1)#1,087
11. 58650 55.6% 11.2% (+44.3)#11 16.9% (+38.6)#1,367
12. 58532 54.2% 11.2% (+42.9)#12 16.9% (+37.2)#1,454
13. 58775 52.6% 11.2% (+41.4)#13 16.9% (+35.7)#1,588
14. 58418 51.9% 11.2% (+40.7)#14 16.9% (+35.0)#1,647
15. 58538 48.5% 11.2% (+37.3)#15 16.9% (+31.6)#1,973
16. 58335 46.5% 11.2% (+35.3)#16 16.9% (+29.6)#2,211
17. 58357 45.6% 11.2% (+34.3)#17 16.9% (+28.6)#2,328
18. 58464 45.5% 11.2% (+34.2)#18 16.9% (+28.5)#2,348
19. 58329 45.0% 11.2% (+33.8)#19 16.9% (+28.1)#2,400
20. 58230 44.9% 11.2% (+33.6)#20 16.9% (+27.9)#2,424
21. 58562 42.9% 11.2% (+31.6)#21 16.9% (+25.9)#2,729
22. 58348 40.5% 11.2% (+29.3)#22 16.9% (+23.6)#3,068
23. 58765 40.3% 11.2% (+29.0)#23 16.9% (+23.3)#3,108
24. 58379 40.2% 11.2% (+28.9)#24 16.9% (+23.2)#3,131
25. 58007 40.0% 11.2% (+28.8)#25 16.9% (+23.1)#3,169
26. 58433 39.1% 11.2% (+27.8)#26 16.9% (+22.1)#3,339
27. 58370 38.0% 11.2% (+26.8)#27 16.9% (+21.1)#3,540
28. 58361 37.1% 11.2% (+25.9)#28 16.9% (+20.2)#3,722
29. 58752 36.6% 11.2% (+25.3)#29 16.9% (+19.6)#3,834
30. 58621 35.8% 11.2% (+24.6)#30 16.9% (+18.9)#4,004
31. 58571 35.6% 11.2% (+24.4)#31 16.9% (+18.7)#4,047
32. 58442 35.6% 11.2% (+24.4)#32 16.9% (+18.7)#4,058
33. 58736 33.3% 11.2% (+22.1)#33 16.9% (+16.4)#4,654
34. 58316 30.8% 11.2% (+19.6)#34 16.9% (+13.9)#5,347
35. 58533 29.6% 11.2% (+18.4)#35 16.9% (+12.7)#5,712
36. 58413 29.0% 11.2% (+17.8)#36 16.9% (+12.1)#5,932
37. 58061 27.9% 11.2% (+16.7)#37 16.9% (+11.0)#6,330
38. 58043 27.8% 11.2% (+16.5)#38 16.9% (+10.8)#6,389
39. 58487 27.6% 11.2% (+16.4)#39 16.9% (+10.7)#6,451
40. 58572 27.3% 11.2% (+16.0)#40 16.9% (+10.3)#6,578
41. 58301 27.2% 11.2% (+16.0)#41 16.9% (+10.3)#6,608
42. 58636 27.1% 11.2% (+15.9)#42 16.9% (+10.2)#6,646
43. 58770 26.5% 11.2% (+15.3)#43 16.9% (+9.55)#6,926
44. 58630 26.4% 11.2% (+15.2)#44 16.9% (+9.48)#6,971
45. 58054 26.0% 11.2% (+14.8)#45 16.9% (+9.08)#7,135
46. 58369 25.7% 11.2% (+14.5)#46 16.9% (+8.78)#7,268
47. 58529 25.4% 11.2% (+14.2)#47 16.9% (+8.49)#7,392
48. 58438 25.4% 11.2% (+14.1)#48 16.9% (+8.41)#7,429
49. 58367 24.7% 11.2% (+13.5)#49 16.9% (+7.75)#7,721
50. 58530 24.2% 11.2% (+13.0)#50 16.9% (+7.26)#7,955
51. 58520 23.1% 11.2% (+11.8)#51 16.9% (+6.14)#8,448
52. 58545 22.7% 11.2% (+11.4)#52 16.9% (+5.72)#8,645
53. 58760 22.5% 11.2% (+11.3)#53 16.9% (+5.56)#8,735
54. 58789 22.2% 11.2% (+11.0)#54 16.9% (+5.28)#8,889
55. 58475 22.2% 11.2% (+11.0)#55 16.9% (+5.28)#8,896
56. 58631 21.3% 11.2% (+10.1)#56 16.9% (+4.40)#9,346
57. 58385 21.1% 11.2% (+9.82)#57 16.9% (+4.11)#9,528
58. 58458 20.8% 11.2% (+9.53)#58 16.9% (+3.83)#9,687
59. 58483 20.7% 11.2% (+9.45)#59 16.9% (+3.75)#9,739
60. 58265 20.3% 11.2% (+9.09)#60 16.9% (+3.39)#9,939
61. 58763 20.0% 11.2% (+8.74)#61 16.9% (+3.04)#10,159
62. 58341 19.9% 11.2% (+8.64)#62 16.9% (+2.93)#10,204
63. 58330 19.5% 11.2% (+8.27)#63 16.9% (+2.57)#10,395
64. 58623 19.3% 11.2% (+8.09)#64 16.9% (+2.39)#10,493
65. 58381 19.2% 11.2% (+7.95)#65 16.9% (+2.25)#10,577
66. 58103 18.9% 11.2% (+7.65)#66 16.9% (+1.95)#10,750
67. 58568 18.9% 11.2% (+7.62)#67 16.9% (+1.91)#10,765
68. 58788 18.8% 11.2% (+7.51)#68 16.9% (+1.81)#10,833
69. 58467 18.8% 11.2% (+7.51)#69 16.9% (+1.81)#10,835
70. 58626 18.6% 11.2% (+7.33)#70 16.9% (+1.62)#10,939
71. 58261 18.4% 11.2% (+7.12)#71 16.9% (+1.42)#11,067
72. 58501 17.8% 11.2% (+6.54)#72 16.9% (+0.833)#11,420
73. 58072 17.5% 11.2% (+6.27)#73 16.9% (+0.571)#11,602
74. 58064 17.4% 11.2% (+6.12)#74 16.9% (+0.416)#11,706
75. 58461 17.2% 11.2% (+5.97)#75 16.9% (+0.265)#11,795
76. 58374 16.7% 11.2% (+5.43)#76 16.9% (-0.272)#12,167
77. 58344 16.4% 11.2% (+5.16)#77 16.9% (-0.539)#12,375
78. 58102 15.8% 11.2% (+4.61)#78 16.9% (-1.10)#12,775
79. 58254 15.6% 11.2% (+4.39)#79 16.9% (-1.31)#12,911
80. 58250 15.4% 11.2% (+4.15)#80 16.9% (-1.55)#13,069
81. 58368 14.9% 11.2% (+3.67)#81 16.9% (-2.03)#13,394
82. 58472 14.6% 11.2% (+3.37)#82 16.9% (-2.33)#13,609
83. 58218 14.6% 11.2% (+3.36)#83 16.9% (-2.34)#13,612
84. 58495 14.5% 11.2% (+3.24)#84 16.9% (-2.47)#13,707
85. 58854 14.3% 11.2% (+3.09)#85 16.9% (-2.61)#13,815
86. 58783 14.3% 11.2% (+3.05)#86 16.9% (-2.65)#13,854
87. 58001 14.1% 11.2% (+2.85)#87 16.9% (-2.85)#13,993
88. 58324 14.0% 11.2% (+2.76)#88 16.9% (-2.95)#14,043
89. 58653 13.8% 11.2% (+2.56)#89 16.9% (-3.15)#14,201
90. 58622 13.6% 11.2% (+2.41)#90 16.9% (-3.29)#14,325
91. 58203 13.6% 11.2% (+2.33)#91 16.9% (-3.38)#14,391
92. 58318 13.5% 11.2% (+2.23)#92 16.9% (-3.47)#14,467
93. 58228 13.1% 11.2% (+1.89)#93 16.9% (-3.81)#14,705
94. 58366 13.1% 11.2% (+1.86)#94 16.9% (-3.84)#14,726
95. 58235 12.5% 11.2% (+1.26)#95 16.9% (-4.44)#15,221
96. 58201 12.3% 11.2% (+1.10)#96 16.9% (-4.60)#15,325
97. 58575 12.1% 11.2% (+0.819)#97 16.9% (-4.88)#15,570
98. 58104 12.0% 11.2% (+0.738)#98 16.9% (-4.96)#15,636
99. 58761 11.8% 11.2% (+0.527)#99 16.9% (-5.17)#15,805
100. 58540 11.7% 11.2% (+0.466)#100 16.9% (-5.24)#15,860

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Children Under the Age of 16 in North Dakota?
Top 10 Zip Codes with the Highest Poverty Level Among Children Under the Age of 16 in North Dakota are:
#1
100.0%
#2
100.0%
#3
88.9%
#4
81.8%
#5
70.0%
#6
67.1%
#7
66.4%
#8
63.6%
#9
62.0%
#10
60.0%
What zip code has the Highest Poverty Level Among Children Under the Age of 16 in North Dakota?
58062 has the Highest Poverty Level Among Children Under the Age of 16 in North Dakota with 100.0%.
What is the Poverty Level Among Children Under the Age of 16 in the State of North Dakota?
Poverty Level Among Children Under the Age of 16 in North Dakota is 11.2%.
What is the Poverty Level Among Children Under the Age of 16 in the United States?
Poverty Level Among Children Under the Age of 16 in the United States is 16.9%.