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

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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
Montana
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Poverty Level Among Seniors Over the Age of 65 in Montana

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

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

Zip Code Senior Poverty vs State vs National
1. 59083 100.0% 9.8% (+90.2)#1 10.0% (+90.0)#122
2. 59756 96.7% 9.8% (+87.0)#2 10.0% (+86.8)#125
3. 59217 86.4% 9.8% (+76.6)#3 10.0% (+76.4)#136
4. 59058 75.0% 9.8% (+65.2)#4 10.0% (+65.0)#183
5. 59633 72.2% 9.8% (+62.4)#5 10.0% (+62.3)#195
6. 59085 68.8% 9.8% (+59.0)#6 10.0% (+58.8)#222
7. 59326 66.7% 9.8% (+56.9)#7 10.0% (+56.7)#236
8. 59013 65.4% 9.8% (+55.6)#8 10.0% (+55.4)#250
9. 59312 50.0% 9.8% (+40.2)#9 10.0% (+40.0)#467
10. 59053 46.7% 9.8% (+36.9)#10 10.0% (+36.7)#547
11. 59417 38.2% 9.8% (+28.4)#11 10.0% (+28.3)#901
12. 59026 38.1% 9.8% (+28.3)#12 10.0% (+28.1)#909
13. 59532 37.5% 9.8% (+27.7)#13 10.0% (+27.5)#949
14. 59022 35.7% 9.8% (+25.9)#14 10.0% (+25.8)#1,042
15. 59243 35.3% 9.8% (+25.5)#15 10.0% (+25.3)#1,062
16. 59351 34.8% 9.8% (+25.1)#16 10.0% (+24.9)#1,089
17. 59643 33.7% 9.8% (+23.9)#17 10.0% (+23.7)#1,187
18. 59039 33.3% 9.8% (+23.6)#18 10.0% (+23.4)#1,247
19. 59003 32.7% 9.8% (+22.9)#19 10.0% (+22.7)#1,289
20. 59915 32.6% 9.8% (+22.8)#20 10.0% (+22.6)#1,301
21. 59062 30.8% 9.8% (+21.0)#21 10.0% (+20.8)#1,458
22. 59462 30.6% 9.8% (+20.8)#22 10.0% (+20.7)#1,473
23. 59745 30.4% 9.8% (+20.7)#23 10.0% (+20.5)#1,491
24. 59079 29.5% 9.8% (+19.7)#24 10.0% (+19.6)#1,565
25. 59936 29.4% 9.8% (+19.7)#25 10.0% (+19.5)#1,574
26. 59349 29.3% 9.8% (+19.5)#26 10.0% (+19.3)#1,600
27. 59074 28.8% 9.8% (+19.0)#27 10.0% (+18.8)#1,672
28. 59527 28.6% 9.8% (+18.8)#28 10.0% (+18.6)#1,692
29. 59032 28.2% 9.8% (+18.4)#29 10.0% (+18.3)#1,739
30. 59231 27.8% 9.8% (+18.0)#30 10.0% (+17.8)#1,793
31. 59855 27.7% 9.8% (+17.9)#31 10.0% (+17.8)#1,806
32. 59324 27.5% 9.8% (+17.7)#32 10.0% (+17.5)#1,847
33. 59832 26.1% 9.8% (+16.3)#33 10.0% (+16.1)#2,083
34. 59464 25.8% 9.8% (+16.0)#34 10.0% (+15.8)#2,139
35. 59323 25.6% 9.8% (+15.8)#35 10.0% (+15.6)#2,179
36. 59479 25.3% 9.8% (+15.6)#36 10.0% (+15.4)#2,213
37. 59453 25.0% 9.8% (+15.2)#37 10.0% (+15.0)#2,283
38. 59521 24.9% 9.8% (+15.1)#38 10.0% (+15.0)#2,319
39. 59925 24.6% 9.8% (+14.9)#39 10.0% (+14.7)#2,384
40. 59313 24.6% 9.8% (+14.8)#40 10.0% (+14.7)#2,390
41. 59841 23.9% 9.8% (+14.1)#41 10.0% (+14.0)#2,559
42. 59466 23.8% 9.8% (+14.0)#42 10.0% (+13.9)#2,587
43. 59078 23.5% 9.8% (+13.7)#43 10.0% (+13.6)#2,642
44. 59213 23.1% 9.8% (+13.4)#44 10.0% (+13.2)#2,730
45. 59027 23.1% 9.8% (+13.3)#45 10.0% (+13.2)#2,740
46. 59077 23.1% 9.8% (+13.3)#46 10.0% (+13.1)#2,759
47. 59751 23.0% 9.8% (+13.2)#47 10.0% (+13.0)#2,793
48. 59020 22.7% 9.8% (+12.9)#48 10.0% (+12.8)#2,854
49. 59831 21.7% 9.8% (+12.0)#49 10.0% (+11.8)#3,132
50. 59318 21.4% 9.8% (+11.6)#50 10.0% (+11.5)#3,231
51. 59029 21.3% 9.8% (+11.6)#51 10.0% (+11.4)#3,249
52. 59427 20.8% 9.8% (+11.1)#52 10.0% (+10.9)#3,403
53. 59069 20.8% 9.8% (+11.0)#53 10.0% (+10.8)#3,428
54. 59526 20.6% 9.8% (+10.9)#54 10.0% (+10.7)#3,474
55. 59247 20.6% 9.8% (+10.9)#55 10.0% (+10.7)#3,477
56. 59472 20.6% 9.8% (+10.8)#56 10.0% (+10.7)#3,478
57. 59461 20.0% 9.8% (+10.2)#57 10.0% (+10.0)#3,741
58. 59327 20.0% 9.8% (+10.2)#58 10.0% (+10.0)#3,745
59. 59043 19.8% 9.8% (+10.0)#59 10.0% (+9.87)#3,790
60. 59434 19.7% 9.8% (+9.96)#60 10.0% (+9.79)#3,826
61. 59910 19.6% 9.8% (+9.83)#61 10.0% (+9.66)#3,891
62. 59059 19.2% 9.8% (+9.45)#62 10.0% (+9.28)#4,053
63. 59311 19.0% 9.8% (+9.27)#63 10.0% (+9.10)#4,125
64. 59544 18.2% 9.8% (+8.40)#64 10.0% (+8.23)#4,511
65. 59864 17.6% 9.8% (+7.80)#65 10.0% (+7.63)#4,784
66. 59226 17.6% 9.8% (+7.80)#66 10.0% (+7.63)#4,787
67. 59474 17.5% 9.8% (+7.74)#67 10.0% (+7.57)#4,820
68. 59270 17.5% 9.8% (+7.69)#68 10.0% (+7.52)#4,872
69. 59447 17.3% 9.8% (+7.53)#69 10.0% (+7.36)#4,974
70. 59528 17.0% 9.8% (+7.24)#70 10.0% (+7.07)#5,151
71. 59008 16.9% 9.8% (+7.09)#71 10.0% (+6.92)#5,263
72. 59480 16.9% 9.8% (+7.07)#72 10.0% (+6.90)#5,274
73. 59221 16.8% 9.8% (+7.00)#73 10.0% (+6.83)#5,304
74. 59242 16.7% 9.8% (+6.89)#74 10.0% (+6.71)#5,414
75. 59345 16.7% 9.8% (+6.89)#75 10.0% (+6.71)#5,416
76. 59535 16.7% 9.8% (+6.89)#76 10.0% (+6.71)#5,417
77. 59066 16.4% 9.8% (+6.58)#77 10.0% (+6.41)#5,600
78. 59201 16.3% 9.8% (+6.55)#78 10.0% (+6.38)#5,617
79. 59919 16.3% 9.8% (+6.51)#79 10.0% (+6.34)#5,635
80. 59075 16.1% 9.8% (+6.29)#80 10.0% (+6.12)#5,793
81. 59070 15.8% 9.8% (+5.97)#81 10.0% (+5.80)#6,004
82. 59411 15.7% 9.8% (+5.95)#82 10.0% (+5.78)#6,018
83. 59010 15.7% 9.8% (+5.90)#83 10.0% (+5.73)#6,045
84. 59314 15.6% 9.8% (+5.84)#84 10.0% (+5.67)#6,102
85. 59725 15.0% 9.8% (+5.25)#85 10.0% (+5.08)#6,527
86. 59034 15.0% 9.8% (+5.24)#86 10.0% (+5.07)#6,537
87. 59914 14.9% 9.8% (+5.15)#87 10.0% (+4.98)#6,607
88. 59072 14.7% 9.8% (+4.93)#88 10.0% (+4.76)#6,794
89. 59401 14.7% 9.8% (+4.87)#89 10.0% (+4.70)#6,851
90. 59463 14.6% 9.8% (+4.85)#90 10.0% (+4.68)#6,864
91. 59820 14.6% 9.8% (+4.85)#91 10.0% (+4.68)#6,869
92. 59255 14.5% 9.8% (+4.72)#92 10.0% (+4.55)#6,973
93. 59741 14.5% 9.8% (+4.70)#93 10.0% (+4.52)#6,989
94. 59248 14.3% 9.8% (+4.56)#94 10.0% (+4.39)#7,106
95. 59420 14.3% 9.8% (+4.50)#95 10.0% (+4.33)#7,166
96. 59937 14.2% 9.8% (+4.45)#96 10.0% (+4.28)#7,218
97. 59218 13.7% 9.8% (+3.89)#97 10.0% (+3.72)#7,713
98. 59254 13.7% 9.8% (+3.88)#98 10.0% (+3.71)#7,719
99. 59412 13.6% 9.8% (+3.87)#99 10.0% (+3.70)#7,736
100. 59711 13.5% 9.8% (+3.70)#100 10.0% (+3.53)#7,889

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Seniors Over the Age of 65 in Montana?
Top 10 Zip Codes with the Highest Poverty Level Among Seniors Over the Age of 65 in Montana are:
#1
100.0%
#2
96.7%
#3
86.4%
#4
75.0%
#5
72.2%
#6
68.8%
#7
66.7%
#8
65.4%
#9
50.0%
#10
46.7%
What zip code has the Highest Poverty Level Among Seniors Over the Age of 65 in Montana?
59083 has the Highest Poverty Level Among Seniors Over the Age of 65 in Montana with 100.0%.
What is the Poverty Level Among Seniors Over the Age of 65 in the State of Montana?
Poverty Level Among Seniors Over the Age of 65 in Montana is 9.8%.
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%.