Zip Codes with the Highest Poverty Level Among Seniors Over the Age of 75 in North Dakota

RELATED REPORTS & OPTIONS

Highest Poverty | Seniors 75+
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 75 in North Dakota

0.0%
100.0%
Zip Codes with the Highest Poverty Level Among Seniors Over the Age of 75 in North Dakota Map

Zip Codes with the Highest Poverty Level Among Seniors Over the Age of 75 in North Dakota

Zip Code Senior Poverty vs State vs National
1. 58847 100.0% 11.9% (+88.1)#1 11.1% (+88.9)#97
2. 58711 100.0% 11.9% (+88.1)#2 11.1% (+88.9)#108
3. 58481 100.0% 11.9% (+88.1)#3 11.1% (+88.9)#127
4. 58331 100.0% 11.9% (+88.1)#4 11.1% (+88.9)#147
5. 58216 100.0% 11.9% (+88.1)#5 11.1% (+88.9)#154
6. 58402 100.0% 11.9% (+88.1)#6 11.1% (+88.9)#179
7. 58564 100.0% 11.9% (+88.1)#7 11.1% (+88.9)#190
8. 58451 100.0% 11.9% (+88.1)#8 11.1% (+88.9)#212
9. 58065 100.0% 11.9% (+88.1)#9 11.1% (+88.9)#245
10. 58365 87.5% 11.9% (+75.6)#10 11.1% (+76.4)#268
11. 58569 75.0% 11.9% (+63.1)#11 11.1% (+63.9)#355
12. 58440 75.0% 11.9% (+63.1)#12 11.1% (+63.9)#356
13. 58497 73.1% 11.9% (+61.2)#13 11.1% (+62.0)#373
14. 58538 62.5% 11.9% (+50.6)#14 11.1% (+51.4)#515
15. 58049 61.5% 11.9% (+49.6)#15 11.1% (+50.5)#530
16. 58311 60.0% 11.9% (+48.1)#16 11.1% (+48.9)#564
17. 58269 54.5% 11.9% (+42.6)#17 11.1% (+43.5)#684
18. 58271 54.0% 11.9% (+42.1)#18 11.1% (+42.9)#695
19. 58330 50.5% 11.9% (+38.6)#19 11.1% (+39.4)#788
20. 58071 48.6% 11.9% (+36.7)#20 11.1% (+37.6)#885
21. 58853 48.3% 11.9% (+36.4)#21 11.1% (+37.2)#897
22. 58549 45.5% 11.9% (+33.5)#22 11.1% (+34.4)#993
23. 58788 45.4% 11.9% (+33.4)#23 11.1% (+34.3)#997
24. 58620 44.1% 11.9% (+32.2)#24 11.1% (+33.1)#1,054
25. 58004 43.8% 11.9% (+31.8)#25 11.1% (+32.7)#1,066
26. 58627 42.9% 11.9% (+30.9)#26 11.1% (+31.8)#1,125
27. 58363 42.9% 11.9% (+30.9)#27 11.1% (+31.8)#1,127
28. 58716 41.7% 11.9% (+29.8)#28 11.1% (+30.6)#1,204
29. 58241 40.0% 11.9% (+28.1)#29 11.1% (+28.9)#1,330
30. 58530 38.9% 11.9% (+27.0)#30 11.1% (+27.9)#1,412
31. 58316 38.7% 11.9% (+26.8)#31 11.1% (+27.6)#1,435
32. 58642 37.7% 11.9% (+25.8)#32 11.1% (+26.7)#1,504
33. 58636 37.5% 11.9% (+25.6)#33 11.1% (+26.4)#1,527
34. 58317 37.5% 11.9% (+25.6)#34 11.1% (+26.4)#1,540
35. 58372 36.4% 11.9% (+24.4)#35 11.1% (+25.3)#1,648
36. 58480 35.3% 11.9% (+23.4)#36 11.1% (+24.2)#1,746
37. 58227 34.1% 11.9% (+22.2)#37 11.1% (+23.0)#1,852
38. 58327 33.3% 11.9% (+21.4)#38 11.1% (+22.3)#1,942
39. 58748 33.3% 11.9% (+21.4)#39 11.1% (+22.3)#1,968
40. 58321 33.3% 11.9% (+21.4)#40 11.1% (+22.3)#1,971
41. 58353 33.3% 11.9% (+21.4)#41 11.1% (+22.3)#1,974
42. 58790 33.0% 11.9% (+21.1)#42 11.1% (+22.0)#1,994
43. 58763 31.8% 11.9% (+19.9)#43 11.1% (+20.7)#2,134
44. 58490 30.8% 11.9% (+18.9)#44 11.1% (+19.7)#2,268
45. 58210 30.0% 11.9% (+18.1)#45 11.1% (+18.9)#2,374
46. 58533 29.1% 11.9% (+17.2)#46 11.1% (+18.0)#2,510
47. 58495 29.0% 11.9% (+17.1)#47 11.1% (+17.9)#2,527
48. 58369 28.9% 11.9% (+17.0)#48 11.1% (+17.9)#2,536
49. 58370 28.1% 11.9% (+16.2)#49 11.1% (+17.1)#2,681
50. 58529 28.0% 11.9% (+16.1)#50 11.1% (+16.9)#2,709
51. 58380 27.8% 11.9% (+15.9)#51 11.1% (+16.7)#2,757
52. 58852 27.7% 11.9% (+15.8)#52 11.1% (+16.7)#2,768
53. 58622 27.7% 11.9% (+15.8)#53 11.1% (+16.6)#2,775
54. 58374 27.7% 11.9% (+15.7)#54 11.1% (+16.6)#2,783
55. 58249 27.3% 11.9% (+15.4)#55 11.1% (+16.2)#2,852
56. 58768 27.3% 11.9% (+15.4)#56 11.1% (+16.2)#2,867
57. 58646 26.8% 11.9% (+14.9)#57 11.1% (+15.7)#2,970
58. 58756 26.7% 11.9% (+14.8)#58 11.1% (+15.6)#3,006
59. 58229 26.7% 11.9% (+14.8)#59 11.1% (+15.6)#3,010
60. 58835 25.9% 11.9% (+14.0)#60 11.1% (+14.9)#3,146
61. 58773 25.0% 11.9% (+13.1)#61 11.1% (+13.9)#3,378
62. 58830 25.0% 11.9% (+13.1)#62 11.1% (+13.9)#3,417
63. 58488 25.0% 11.9% (+13.1)#63 11.1% (+13.9)#3,420
64. 58032 24.8% 11.9% (+12.9)#64 11.1% (+13.7)#3,472
65. 58621 24.6% 11.9% (+12.6)#65 11.1% (+13.5)#3,511
66. 58640 24.4% 11.9% (+12.5)#66 11.1% (+13.4)#3,533
67. 58276 24.2% 11.9% (+12.3)#67 11.1% (+13.2)#3,572
68. 58012 24.2% 11.9% (+12.3)#68 11.1% (+13.1)#3,584
69. 58718 24.1% 11.9% (+12.2)#69 11.1% (+13.0)#3,613
70. 58643 23.5% 11.9% (+11.6)#70 11.1% (+12.5)#3,799
71. 58401 22.3% 11.9% (+10.4)#71 11.1% (+11.2)#4,151
72. 58552 22.3% 11.9% (+10.4)#72 11.1% (+11.2)#4,158
73. 58535 22.2% 11.9% (+10.3)#73 11.1% (+11.2)#4,186
74. 58341 21.6% 11.9% (+9.70)#74 11.1% (+10.5)#4,390
75. 58075 21.1% 11.9% (+9.22)#75 11.1% (+10.1)#4,549
76. 58072 21.0% 11.9% (+9.11)#76 11.1% (+9.96)#4,600
77. 58228 20.9% 11.9% (+9.01)#77 11.1% (+9.86)#4,635
78. 58301 20.6% 11.9% (+8.67)#78 11.1% (+9.52)#4,763
79. 58482 20.4% 11.9% (+8.48)#79 11.1% (+9.33)#4,823
80. 58448 20.0% 11.9% (+8.08)#80 11.1% (+8.93)#5,010
81. 58454 20.0% 11.9% (+8.08)#81 11.1% (+8.93)#5,012
82. 58734 20.0% 11.9% (+8.08)#82 11.1% (+8.93)#5,022
83. 58475 20.0% 11.9% (+8.08)#83 11.1% (+8.93)#5,030
84. 58237 19.8% 11.9% (+7.89)#84 11.1% (+8.74)#5,111
85. 58230 19.8% 11.9% (+7.89)#85 11.1% (+8.74)#5,116
86. 58746 19.7% 11.9% (+7.76)#86 11.1% (+8.61)#5,164
87. 58487 19.0% 11.9% (+7.13)#87 11.1% (+7.98)#5,448
88. 58223 19.0% 11.9% (+7.13)#88 11.1% (+7.98)#5,454
89. 58838 18.9% 11.9% (+7.00)#89 11.1% (+7.85)#5,517
90. 58652 18.9% 11.9% (+6.95)#90 11.1% (+7.80)#5,528
91. 58069 18.8% 11.9% (+6.83)#91 11.1% (+7.68)#5,618
92. 58421 18.6% 11.9% (+6.72)#92 11.1% (+7.56)#5,660
93. 58220 18.5% 11.9% (+6.57)#93 11.1% (+7.42)#5,745
94. 58382 18.2% 11.9% (+6.27)#94 11.1% (+7.11)#5,927
95. 58235 17.9% 11.9% (+6.03)#95 11.1% (+6.88)#6,039
96. 58744 17.9% 11.9% (+5.94)#96 11.1% (+6.79)#6,087
97. 58467 17.8% 11.9% (+5.86)#97 11.1% (+6.71)#6,126
98. 58332 17.8% 11.9% (+5.86)#98 11.1% (+6.71)#6,130
99. 58413 17.7% 11.9% (+5.81)#99 11.1% (+6.65)#6,159
100. 58645 17.6% 11.9% (+5.73)#100 11.1% (+6.58)#6,206

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Seniors Over the Age of 75 in North Dakota?
Top 10 Zip Codes with the Highest Poverty Level Among Seniors Over the Age of 75 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
87.5%
What zip code has the Highest Poverty Level Among Seniors Over the Age of 75 in North Dakota?
58847 has the Highest Poverty Level Among Seniors Over the Age of 75 in North Dakota with 100.0%.
What is the Poverty Level Among Seniors Over the Age of 75 in the State of North Dakota?
Poverty Level Among Seniors Over the Age of 75 in North Dakota is 11.9%.
What is the Poverty Level Among Seniors Over the Age of 75 in the United States?
Poverty Level Among Seniors Over the Age of 75 in the United States is 11.1%.