Zip Codes with the Highest Poverty Level Among Seniors Over the Age of 65 in North Dakota

RELATED REPORTS & OPTIONS

Highest Poverty | Seniors 65+
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 Seniors Over the Age of 65 in North Dakota

0.0%
100.0%
Zip Codes with the Highest Poverty Level Among Seniors Over the Age of 65 in North Dakota Map

Zip Codes with the Highest Poverty Level Among Seniors Over the Age of 65 in North Dakota

Zip Code Senior Poverty vs State vs National
1. 58402 100.0% 9.1% (+90.9)#1 10.0% (+90.0)#64
2. 58452 100.0% 9.1% (+90.9)#2 10.0% (+90.0)#89
3. 58065 66.7% 9.1% (+57.6)#3 10.0% (+56.7)#245
4. 58475 63.0% 9.1% (+53.8)#4 10.0% (+53.0)#271
5. 58569 56.2% 9.1% (+47.1)#5 10.0% (+46.3)#341
6. 58634 54.3% 9.1% (+45.2)#6 10.0% (+44.3)#361
7. 58497 51.4% 9.1% (+42.2)#7 10.0% (+41.4)#420
8. 58641 50.0% 9.1% (+40.9)#8 10.0% (+40.0)#459
9. 58339 50.0% 9.1% (+40.9)#9 10.0% (+40.0)#466
10. 58564 46.2% 9.1% (+37.0)#10 10.0% (+36.2)#565
11. 58768 45.7% 9.1% (+36.6)#11 10.0% (+35.8)#583
12. 58365 44.3% 9.1% (+35.1)#12 10.0% (+34.3)#636
13. 58487 43.8% 9.1% (+34.6)#13 10.0% (+33.8)#656
14. 58528 40.0% 9.1% (+30.9)#14 10.0% (+30.0)#808
15. 58331 38.2% 9.1% (+29.1)#15 10.0% (+28.3)#899
16. 58335 36.8% 9.1% (+27.7)#16 10.0% (+26.9)#986
17. 58847 36.2% 9.1% (+27.1)#17 10.0% (+26.3)#1,021
18. 58538 35.3% 9.1% (+26.1)#18 10.0% (+25.3)#1,067
19. 58642 34.5% 9.1% (+25.4)#19 10.0% (+24.5)#1,117
20. 58244 33.3% 9.1% (+24.2)#20 10.0% (+23.4)#1,246
21. 58835 30.3% 9.1% (+21.2)#21 10.0% (+20.4)#1,500
22. 58792 29.4% 9.1% (+20.3)#22 10.0% (+19.5)#1,578
23. 58316 29.4% 9.1% (+20.2)#23 10.0% (+19.4)#1,588
24. 58636 29.1% 9.1% (+19.9)#24 10.0% (+19.1)#1,629
25. 58241 28.6% 9.1% (+19.5)#25 10.0% (+18.6)#1,697
26. 58216 27.8% 9.1% (+18.7)#26 10.0% (+17.8)#1,796
27. 58317 26.7% 9.1% (+17.6)#27 10.0% (+16.7)#1,967
28. 58627 26.3% 9.1% (+17.2)#28 10.0% (+16.4)#2,047
29. 58530 25.8% 9.1% (+16.7)#29 10.0% (+15.9)#2,125
30. 58273 25.0% 9.1% (+15.9)#30 10.0% (+15.0)#2,290
31. 58370 23.2% 9.1% (+14.1)#31 10.0% (+13.3)#2,708
32. 58330 22.6% 9.1% (+13.5)#32 10.0% (+12.6)#2,890
33. 58049 22.6% 9.1% (+13.5)#33 10.0% (+12.6)#2,895
34. 58282 22.4% 9.1% (+13.3)#34 10.0% (+12.5)#2,929
35. 58838 22.1% 9.1% (+12.9)#35 10.0% (+12.1)#3,040
36. 58357 21.2% 9.1% (+12.1)#36 10.0% (+11.2)#3,297
37. 58620 21.1% 9.1% (+12.0)#37 10.0% (+11.2)#3,309
38. 58833 20.7% 9.1% (+11.6)#38 10.0% (+10.7)#3,463
39. 58495 20.6% 9.1% (+11.5)#39 10.0% (+10.6)#3,487
40. 58004 20.6% 9.1% (+11.5)#40 10.0% (+10.6)#3,492
41. 58622 20.4% 9.1% (+11.3)#41 10.0% (+10.5)#3,547
42. 58401 20.1% 9.1% (+11.0)#42 10.0% (+10.1)#3,672
43. 58227 20.0% 9.1% (+10.9)#43 10.0% (+10.0)#3,707
44. 58788 19.8% 9.1% (+10.7)#44 10.0% (+9.82)#3,809
45. 58853 19.4% 9.1% (+10.3)#45 10.0% (+9.49)#3,970
46. 58643 19.4% 9.1% (+10.2)#46 10.0% (+9.40)#4,010
47. 58271 19.3% 9.1% (+10.2)#47 10.0% (+9.33)#4,036
48. 58533 19.3% 9.1% (+10.2)#48 10.0% (+9.32)#4,038
49. 58413 19.3% 9.1% (+10.2)#49 10.0% (+9.32)#4,039
50. 58332 19.1% 9.1% (+10.0)#50 10.0% (+9.17)#4,090
51. 58071 18.9% 9.1% (+9.83)#51 10.0% (+9.00)#4,156
52. 58646 18.9% 9.1% (+9.80)#52 10.0% (+8.97)#4,160
53. 58384 18.8% 9.1% (+9.72)#53 10.0% (+8.89)#4,206
54. 58529 18.3% 9.1% (+9.22)#54 10.0% (+8.38)#4,433
55. 58549 17.9% 9.1% (+8.74)#55 10.0% (+7.91)#4,651
56. 58854 17.8% 9.1% (+8.66)#56 10.0% (+7.83)#4,686
57. 58852 17.6% 9.1% (+8.44)#57 10.0% (+7.60)#4,804
58. 58756 17.5% 9.1% (+8.38)#58 10.0% (+7.55)#4,846
59. 58445 17.2% 9.1% (+8.12)#59 10.0% (+7.29)#5,021
60. 58789 17.1% 9.1% (+8.03)#60 10.0% (+7.19)#5,075
61. 58269 17.1% 9.1% (+8.03)#61 10.0% (+7.19)#5,077
62. 58535 17.1% 9.1% (+7.98)#62 10.0% (+7.14)#5,110
63. 58632 16.7% 9.1% (+7.55)#63 10.0% (+6.71)#5,399
64. 58311 16.7% 9.1% (+7.55)#64 10.0% (+6.71)#5,413
65. 58032 16.4% 9.1% (+7.30)#65 10.0% (+6.47)#5,557
66. 58710 16.1% 9.1% (+7.01)#66 10.0% (+6.18)#5,743
67. 58488 16.1% 9.1% (+6.95)#67 10.0% (+6.12)#5,794
68. 58380 16.0% 9.1% (+6.91)#68 10.0% (+6.08)#5,820
69. 58237 16.0% 9.1% (+6.87)#69 10.0% (+6.04)#5,850
70. 58570 15.9% 9.1% (+6.83)#70 10.0% (+5.99)#5,874
71. 58421 15.9% 9.1% (+6.74)#71 10.0% (+5.91)#5,921
72. 58072 15.6% 9.1% (+6.45)#72 10.0% (+5.62)#6,144
73. 58012 15.4% 9.1% (+6.27)#73 10.0% (+5.43)#6,280
74. 58416 15.3% 9.1% (+6.15)#74 10.0% (+5.32)#6,372
75. 58770 15.2% 9.1% (+6.07)#75 10.0% (+5.24)#6,425
76. 58638 14.9% 9.1% (+5.82)#76 10.0% (+4.98)#6,610
77. 58276 14.8% 9.1% (+5.73)#77 10.0% (+4.89)#6,681
78. 58051 14.8% 9.1% (+5.68)#78 10.0% (+4.84)#6,720
79. 58220 14.3% 9.1% (+5.23)#79 10.0% (+4.40)#7,095
80. 58481 14.3% 9.1% (+5.17)#80 10.0% (+4.33)#7,169
81. 58621 14.2% 9.1% (+5.07)#81 10.0% (+4.24)#7,253
82. 58552 14.0% 9.1% (+4.93)#82 10.0% (+4.10)#7,369
83. 58790 14.0% 9.1% (+4.89)#83 10.0% (+4.06)#7,398
84. 58467 13.9% 9.1% (+4.82)#84 10.0% (+3.98)#7,475
85. 58490 13.8% 9.1% (+4.71)#85 10.0% (+3.88)#7,575
86. 58763 13.7% 9.1% (+4.57)#86 10.0% (+3.74)#7,696
87. 58069 13.6% 9.1% (+4.52)#87 10.0% (+3.68)#7,756
88. 58440 13.6% 9.1% (+4.52)#88 10.0% (+3.68)#7,758
89. 58601 13.6% 9.1% (+4.45)#89 10.0% (+3.61)#7,826
90. 58346 13.5% 9.1% (+4.40)#90 10.0% (+3.56)#7,859
91. 58031 13.3% 9.1% (+4.22)#91 10.0% (+3.38)#8,039
92. 58736 13.1% 9.1% (+4.01)#92 10.0% (+3.18)#8,246
93. 58701 13.1% 9.1% (+3.97)#93 10.0% (+3.13)#8,298
94. 58324 13.0% 9.1% (+3.88)#94 10.0% (+3.04)#8,390
95. 58482 13.0% 9.1% (+3.85)#95 10.0% (+3.01)#8,417
96. 58229 12.9% 9.1% (+3.79)#96 10.0% (+2.95)#8,497
97. 58008 12.5% 9.1% (+3.38)#97 10.0% (+2.55)#8,946
98. 58363 12.5% 9.1% (+3.38)#98 10.0% (+2.55)#8,955
99. 58451 12.5% 9.1% (+3.38)#99 10.0% (+2.55)#8,957
100. 58734 12.2% 9.1% (+3.13)#100 10.0% (+2.29)#9,236

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Seniors Over the Age of 65 in North Dakota?
Top 10 Zip Codes with the Highest Poverty Level Among Seniors Over the Age of 65 in North Dakota are:
#1
100.0%
#2
100.0%
#3
66.7%
#4
63.0%
#5
56.2%
#6
54.3%
#7
51.4%
#8
50.0%
#9
50.0%
#10
46.2%
What zip code has the Highest Poverty Level Among Seniors Over the Age of 65 in North Dakota?
58402 has the Highest Poverty Level Among Seniors Over the Age of 65 in North Dakota with 100.0%.
What is the Poverty Level Among Seniors Over the Age of 65 in the State of North Dakota?
Poverty Level Among Seniors Over the Age of 65 in North Dakota is 9.1%.
What is the Poverty Level Among Seniors Over the Age of 65 in the United States?
Poverty Level Among Seniors Over the Age of 65 in the United States is 10.0%.