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

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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
Minnesota
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Poverty Level Among Seniors Over the Age of 75 in Minnesota

20.0%
100.0%
Zip Codes with the Highest Poverty Level Among Seniors Over the Age of 75 in Minnesota Map

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

Zip Code Senior Poverty vs State vs National
1. 56720 100.0% 9.5% (+90.5)#1 11.1% (+88.9)#246
2. 56668 66.7% 9.5% (+57.2)#2 11.1% (+55.6)#450
3. 55979 64.4% 9.5% (+54.9)#3 11.1% (+53.3)#484
4. 55756 57.1% 9.5% (+47.7)#4 11.1% (+46.1)#613
5. 56280 56.8% 9.5% (+47.3)#5 11.1% (+45.7)#620
6. 55764 55.6% 9.5% (+46.1)#6 11.1% (+44.5)#652
7. 56321 55.3% 9.5% (+45.8)#7 11.1% (+44.2)#662
8. 56734 53.1% 9.5% (+43.6)#8 11.1% (+42.0)#718
9. 56236 50.0% 9.5% (+40.5)#9 11.1% (+38.9)#810
10. 56181 48.7% 9.5% (+39.2)#10 11.1% (+37.7)#882
11. 56670 48.4% 9.5% (+38.9)#11 11.1% (+37.3)#890
12. 56118 48.3% 9.5% (+38.8)#12 11.1% (+37.2)#896
13. 56355 46.2% 9.5% (+36.7)#13 11.1% (+35.1)#962
14. 56376 45.8% 9.5% (+36.3)#14 11.1% (+34.8)#979
15. 56371 44.4% 9.5% (+35.0)#15 11.1% (+33.4)#1,039
16. 56591 40.0% 9.5% (+30.5)#16 11.1% (+28.9)#1,314
17. 56149 39.1% 9.5% (+29.6)#17 11.1% (+28.1)#1,397
18. 56644 39.1% 9.5% (+29.6)#18 11.1% (+28.1)#1,398
19. 56660 37.8% 9.5% (+28.3)#19 11.1% (+26.7)#1,502
20. 55454 37.6% 9.5% (+28.1)#20 11.1% (+26.5)#1,520
21. 56141 37.5% 9.5% (+28.0)#21 11.1% (+26.4)#1,535
22. 56520 35.8% 9.5% (+26.3)#22 11.1% (+24.7)#1,687
23. 55950 34.8% 9.5% (+25.3)#23 11.1% (+23.7)#1,796
24. 55404 34.1% 9.5% (+24.6)#24 11.1% (+23.1)#1,848
25. 56159 33.3% 9.5% (+23.8)#25 11.1% (+22.3)#1,909
26. 56715 33.3% 9.5% (+23.8)#26 11.1% (+22.3)#1,946
27. 55807 32.6% 9.5% (+23.1)#27 11.1% (+21.5)#2,040
28. 56311 32.5% 9.5% (+23.0)#28 11.1% (+21.5)#2,046
29. 55328 31.8% 9.5% (+22.3)#29 11.1% (+20.7)#2,136
30. 55742 31.2% 9.5% (+21.8)#30 11.1% (+20.2)#2,204
31. 56685 30.0% 9.5% (+20.5)#31 11.1% (+18.9)#2,380
32. 55121 29.6% 9.5% (+20.1)#32 11.1% (+18.5)#2,440
33. 56160 29.2% 9.5% (+19.7)#33 11.1% (+18.1)#2,503
34. 55408 29.0% 9.5% (+19.5)#34 11.1% (+17.9)#2,529
35. 56553 28.6% 9.5% (+19.1)#35 11.1% (+17.5)#2,604
36. 56726 28.3% 9.5% (+18.8)#36 11.1% (+17.3)#2,642
37. 56657 28.3% 9.5% (+18.8)#37 11.1% (+17.2)#2,659
38. 56552 27.9% 9.5% (+18.4)#38 11.1% (+16.9)#2,719
39. 56357 27.8% 9.5% (+18.3)#39 11.1% (+16.7)#2,750
40. 55615 27.8% 9.5% (+18.3)#40 11.1% (+16.7)#2,759
41. 55601 27.8% 9.5% (+18.3)#41 11.1% (+16.7)#2,765
42. 56029 27.6% 9.5% (+18.1)#42 11.1% (+16.5)#2,795
43. 56051 27.3% 9.5% (+17.8)#43 11.1% (+16.2)#2,865
44. 56374 26.7% 9.5% (+17.2)#44 11.1% (+15.6)#2,993
45. 56138 26.4% 9.5% (+16.9)#45 11.1% (+15.3)#3,050
46. 55401 26.4% 9.5% (+16.9)#46 11.1% (+15.3)#3,052
47. 56727 26.0% 9.5% (+16.5)#47 11.1% (+14.9)#3,131
48. 55130 25.7% 9.5% (+16.2)#48 11.1% (+14.6)#3,196
49. 56667 25.6% 9.5% (+16.1)#49 11.1% (+14.5)#3,219
50. 56045 25.5% 9.5% (+16.0)#50 11.1% (+14.5)#3,235
51. 56646 25.0% 9.5% (+15.5)#51 11.1% (+13.9)#3,403
52. 56274 25.0% 9.5% (+15.5)#52 11.1% (+13.9)#3,409
53. 56434 25.0% 9.5% (+15.5)#53 11.1% (+13.9)#3,411
54. 56276 25.0% 9.5% (+15.5)#54 11.1% (+13.9)#3,413
55. 56313 25.0% 9.5% (+15.5)#55 11.1% (+13.9)#3,432
56. 56266 24.8% 9.5% (+15.3)#56 11.1% (+13.8)#3,464
57. 55103 24.2% 9.5% (+14.7)#57 11.1% (+13.1)#3,580
58. 56732 24.2% 9.5% (+14.7)#58 11.1% (+13.1)#3,585
59. 56225 23.8% 9.5% (+14.3)#59 11.1% (+12.7)#3,702
60. 56239 23.8% 9.5% (+14.3)#60 11.1% (+12.7)#3,703
61. 55055 23.7% 9.5% (+14.2)#61 11.1% (+12.6)#3,750
62. 56361 23.7% 9.5% (+14.2)#62 11.1% (+12.6)#3,753
63. 55932 23.6% 9.5% (+14.1)#63 11.1% (+12.5)#3,770
64. 56127 23.5% 9.5% (+14.0)#64 11.1% (+12.5)#3,791
65. 56716 23.5% 9.5% (+14.0)#65 11.1% (+12.5)#3,800
66. 56309 23.1% 9.5% (+13.6)#66 11.1% (+12.1)#3,918
67. 56381 22.9% 9.5% (+13.4)#67 11.1% (+11.8)#3,994
68. 56516 22.7% 9.5% (+13.2)#68 11.1% (+11.7)#4,042
69. 56044 22.7% 9.5% (+13.2)#69 11.1% (+11.6)#4,050
70. 56324 22.6% 9.5% (+13.1)#70 11.1% (+11.6)#4,062
71. 56262 22.6% 9.5% (+13.1)#71 11.1% (+11.6)#4,063
72. 56387 22.6% 9.5% (+13.1)#72 11.1% (+11.6)#4,067
73. 55342 22.6% 9.5% (+13.1)#73 11.1% (+11.5)#4,083
74. 55314 22.4% 9.5% (+12.9)#74 11.1% (+11.3)#4,140
75. 55341 22.2% 9.5% (+12.7)#75 11.1% (+11.2)#4,173
76. 56437 22.2% 9.5% (+12.7)#76 11.1% (+11.2)#4,177
77. 56116 22.2% 9.5% (+12.7)#77 11.1% (+11.2)#4,184
78. 56263 22.2% 9.5% (+12.7)#78 11.1% (+11.2)#4,185
79. 56760 22.2% 9.5% (+12.7)#79 11.1% (+11.2)#4,188
80. 56626 22.2% 9.5% (+12.7)#80 11.1% (+11.2)#4,191
81. 56140 22.2% 9.5% (+12.7)#81 11.1% (+11.2)#4,212
82. 56314 21.9% 9.5% (+12.4)#82 11.1% (+10.8)#4,292
83. 56010 21.8% 9.5% (+12.3)#83 11.1% (+10.7)#4,334
84. 56521 21.7% 9.5% (+12.2)#84 11.1% (+10.7)#4,349
85. 55711 21.7% 9.5% (+12.2)#85 11.1% (+10.7)#4,356
86. 56373 21.6% 9.5% (+12.1)#86 11.1% (+10.5)#4,392
87. 56145 21.4% 9.5% (+11.9)#87 11.1% (+10.4)#4,455
88. 56534 21.3% 9.5% (+11.8)#88 11.1% (+10.3)#4,483
89. 55407 21.3% 9.5% (+11.8)#89 11.1% (+10.3)#4,487
90. 56364 21.2% 9.5% (+11.7)#90 11.1% (+10.2)#4,516
91. 56728 21.0% 9.5% (+11.5)#91 11.1% (+9.92)#4,613
92. 56110 20.9% 9.5% (+11.4)#92 11.1% (+9.84)#4,644
93. 56249 20.8% 9.5% (+11.3)#93 11.1% (+9.77)#4,670
94. 56329 20.8% 9.5% (+11.3)#94 11.1% (+9.74)#4,678
95. 56446 20.7% 9.5% (+11.2)#95 11.1% (+9.67)#4,705
96. 56585 20.7% 9.5% (+11.2)#96 11.1% (+9.62)#4,721
97. 55987 20.6% 9.5% (+11.1)#97 11.1% (+9.53)#4,748
98. 56312 20.5% 9.5% (+11.0)#98 11.1% (+9.39)#4,799
99. 55748 20.4% 9.5% (+10.9)#99 11.1% (+9.32)#4,825
100. 56304 20.3% 9.5% (+10.8)#100 11.1% (+9.27)#4,841

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Seniors Over the Age of 75 in Minnesota?
Top 10 Zip Codes with the Highest Poverty Level Among Seniors Over the Age of 75 in Minnesota are:
#1
100.0%
#2
66.7%
#3
64.4%
#4
57.1%
#5
56.8%
#6
55.6%
#7
55.3%
#8
53.1%
#9
50.0%
#10
48.7%
What zip code has the Highest Poverty Level Among Seniors Over the Age of 75 in Minnesota?
56720 has the Highest Poverty Level Among Seniors Over the Age of 75 in Minnesota with 100.0%.
What is the Poverty Level Among Seniors Over the Age of 75 in the State of Minnesota?
Poverty Level Among Seniors Over the Age of 75 in Minnesota is 9.5%.
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%.