Zip Codes with the Highest Poverty Level Among Single Females in Montana

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Highest Poverty | Single Female
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 Single Females in Montana

20.0%
100.0%
Zip Codes with the Highest Poverty Level Among Single Females in Montana Map

Zip Codes with the Highest Poverty Level Among Single Females in Montana

Zip Code Single Female Poverty vs State vs National
1. 59645 100.0% 25.0% (+75.0)#1 24.1% (+75.9)#31
2. 59858 100.0% 25.0% (+75.0)#2 24.1% (+75.9)#35
3. 59853 100.0% 25.0% (+75.0)#3 24.1% (+75.9)#129
4. 59411 100.0% 25.0% (+75.0)#4 24.1% (+75.9)#142
5. 59410 100.0% 25.0% (+75.0)#5 24.1% (+75.9)#235
6. 59074 100.0% 25.0% (+75.0)#6 24.1% (+75.9)#342
7. 59326 100.0% 25.0% (+75.0)#7 24.1% (+75.9)#343
8. 59750 100.0% 25.0% (+75.0)#8 24.1% (+75.9)#363
9. 59915 100.0% 25.0% (+75.0)#9 24.1% (+75.9)#393
10. 59914 100.0% 25.0% (+75.0)#10 24.1% (+75.9)#404
11. 59222 100.0% 25.0% (+75.0)#11 24.1% (+75.9)#534
12. 59053 100.0% 25.0% (+75.0)#12 24.1% (+75.9)#541
13. 59731 100.0% 25.0% (+75.0)#13 24.1% (+75.9)#548
14. 59743 100.0% 25.0% (+75.0)#14 24.1% (+75.9)#559
15. 59258 100.0% 25.0% (+75.0)#15 24.1% (+75.9)#567
16. 59745 100.0% 25.0% (+75.0)#16 24.1% (+75.9)#588
17. 59830 100.0% 25.0% (+75.0)#17 24.1% (+75.9)#595
18. 59007 100.0% 25.0% (+75.0)#18 24.1% (+75.9)#607
19. 59012 100.0% 25.0% (+75.0)#19 24.1% (+75.9)#672
20. 59244 100.0% 25.0% (+75.0)#20 24.1% (+75.9)#678
21. 59866 92.3% 25.0% (+67.3)#21 24.1% (+68.2)#737
22. 59479 85.7% 25.0% (+60.7)#22 24.1% (+61.6)#840
23. 59443 84.2% 25.0% (+59.2)#23 24.1% (+60.1)#883
24. 59486 83.3% 25.0% (+58.3)#24 24.1% (+59.3)#893
25. 59472 81.8% 25.0% (+56.8)#25 24.1% (+57.7)#940
26. 59353 78.9% 25.0% (+54.0)#26 24.1% (+54.9)#1,029
27. 59935 77.4% 25.0% (+52.4)#27 24.1% (+53.3)#1,075
28. 59736 71.4% 25.0% (+46.4)#28 24.1% (+47.4)#1,328
29. 59015 66.7% 25.0% (+41.7)#29 24.1% (+42.6)#1,605
30. 59739 66.7% 25.0% (+41.7)#30 24.1% (+42.6)#1,621
31. 59079 66.0% 25.0% (+41.0)#31 24.1% (+41.9)#1,667
32. 59088 64.4% 25.0% (+39.4)#32 24.1% (+40.3)#1,768
33. 59018 64.3% 25.0% (+39.3)#33 24.1% (+40.2)#1,779
34. 59213 63.0% 25.0% (+38.0)#34 24.1% (+39.0)#1,881
35. 59485 60.0% 25.0% (+35.0)#35 24.1% (+35.9)#2,147
36. 59845 58.3% 25.0% (+33.3)#36 24.1% (+34.3)#2,312
37. 59427 57.3% 25.0% (+32.3)#37 24.1% (+33.3)#2,415
38. 59522 56.0% 25.0% (+31.0)#38 24.1% (+31.9)#2,578
39. 59038 52.9% 25.0% (+27.9)#39 24.1% (+28.9)#2,965
40. 59855 52.4% 25.0% (+27.4)#40 24.1% (+28.3)#3,057
41. 59457 52.2% 25.0% (+27.2)#41 24.1% (+28.1)#3,073
42. 59425 51.5% 25.0% (+26.5)#42 24.1% (+27.4)#3,158
43. 59043 50.8% 25.0% (+25.8)#43 24.1% (+26.7)#3,252
44. 59029 50.0% 25.0% (+25.0)#44 24.1% (+25.9)#3,414
45. 59447 50.0% 25.0% (+25.0)#45 24.1% (+25.9)#3,504
46. 59644 48.7% 25.0% (+23.7)#46 24.1% (+24.7)#3,705
47. 59225 47.4% 25.0% (+22.4)#47 24.1% (+23.3)#3,962
48. 59041 47.3% 25.0% (+22.3)#48 24.1% (+23.2)#3,976
49. 59050 47.2% 25.0% (+22.2)#49 24.1% (+23.1)#3,984
50. 59448 46.5% 25.0% (+21.5)#50 24.1% (+22.4)#4,114
51. 59711 46.1% 25.0% (+21.1)#51 24.1% (+22.1)#4,209
52. 59864 46.1% 25.0% (+21.1)#52 24.1% (+22.0)#4,211
53. 59255 45.7% 25.0% (+20.7)#53 24.1% (+21.7)#4,275
54. 59821 44.6% 25.0% (+19.6)#54 24.1% (+20.5)#4,519
55. 59464 44.4% 25.0% (+19.4)#55 24.1% (+20.4)#4,577
56. 59639 42.9% 25.0% (+17.9)#56 24.1% (+18.8)#4,957
57. 59521 41.9% 25.0% (+16.9)#57 24.1% (+17.8)#5,212
58. 59034 40.9% 25.0% (+15.9)#58 24.1% (+16.9)#5,478
59. 59022 40.9% 25.0% (+15.9)#59 24.1% (+16.8)#5,484
60. 59323 40.8% 25.0% (+15.8)#60 24.1% (+16.7)#5,515
61. 59436 39.7% 25.0% (+14.7)#61 24.1% (+15.6)#5,890
62. 59201 39.5% 25.0% (+14.5)#62 24.1% (+15.4)#5,937
63. 59221 39.4% 25.0% (+14.4)#63 24.1% (+15.3)#5,972
64. 59923 39.0% 25.0% (+14.0)#64 24.1% (+14.9)#6,089
65. 59019 38.8% 25.0% (+13.8)#65 24.1% (+14.7)#6,139
66. 59417 38.3% 25.0% (+13.3)#66 24.1% (+14.2)#6,281
67. 59542 37.5% 25.0% (+12.5)#67 24.1% (+13.4)#6,566
68. 59730 36.6% 25.0% (+11.6)#68 24.1% (+12.5)#6,850
69. 59482 36.4% 25.0% (+11.4)#69 24.1% (+12.3)#6,903
70. 59016 36.4% 25.0% (+11.4)#70 24.1% (+12.3)#6,905
71. 59089 36.1% 25.0% (+11.1)#71 24.1% (+12.0)#7,012
72. 59313 35.7% 25.0% (+10.7)#72 24.1% (+11.6)#7,134
73. 59008 35.7% 25.0% (+10.7)#73 24.1% (+11.6)#7,151
74. 59831 35.1% 25.0% (+10.1)#74 24.1% (+11.1)#7,367
75. 59501 34.8% 25.0% (+9.81)#75 24.1% (+10.7)#7,483
76. 59066 33.3% 25.0% (+8.34)#76 24.1% (+9.26)#8,086
77. 59261 33.3% 25.0% (+8.34)#77 24.1% (+9.26)#8,113
78. 59063 32.9% 25.0% (+7.88)#78 24.1% (+8.80)#8,310
79. 59840 31.4% 25.0% (+6.41)#79 24.1% (+7.32)#8,914
80. 59759 31.2% 25.0% (+6.26)#80 24.1% (+7.17)#8,963
81. 59527 31.2% 25.0% (+6.17)#81 24.1% (+7.09)#9,008
82. 59802 30.9% 25.0% (+5.95)#82 24.1% (+6.87)#9,106
83. 59870 30.7% 25.0% (+5.75)#83 24.1% (+6.67)#9,201
84. 59047 29.9% 25.0% (+4.94)#84 24.1% (+5.86)#9,571
85. 59714 29.3% 25.0% (+4.35)#85 24.1% (+5.26)#9,851
86. 59824 28.9% 25.0% (+3.95)#86 24.1% (+4.87)#10,056
87. 59248 28.6% 25.0% (+3.58)#87 24.1% (+4.49)#10,240
88. 59524 28.6% 25.0% (+3.58)#88 24.1% (+4.49)#10,248
89. 59927 28.6% 25.0% (+3.58)#89 24.1% (+4.49)#10,279
90. 59701 28.5% 25.0% (+3.52)#90 24.1% (+4.43)#10,300
91. 59101 27.8% 25.0% (+2.79)#91 24.1% (+3.71)#10,628
92. 59725 27.6% 25.0% (+2.64)#92 24.1% (+3.56)#10,731
93. 59414 27.3% 25.0% (+2.28)#93 24.1% (+3.20)#10,930
94. 59841 26.8% 25.0% (+1.83)#94 24.1% (+2.75)#11,132
95. 59405 26.2% 25.0% (+1.20)#95 24.1% (+2.12)#11,458
96. 59105 26.2% 25.0% (+1.16)#96 24.1% (+2.08)#11,481
97. 59401 26.1% 25.0% (+1.07)#97 24.1% (+1.99)#11,526
98. 59912 26.0% 25.0% (+1.03)#98 24.1% (+1.94)#11,551
99. 59404 26.0% 25.0% (+1.02)#99 24.1% (+1.94)#11,554
100. 59873 25.6% 25.0% (+0.615)#100 24.1% (+1.53)#11,789

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Single Females in Montana?
Top 10 Zip Codes with the Highest Poverty Level Among Single Females in Montana 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
100.0%
What zip code has the Highest Poverty Level Among Single Females in Montana?
59645 has the Highest Poverty Level Among Single Females in Montana with 100.0%.
What is the Poverty Level Among Single Females in the State of Montana?
Poverty Level Among Single Females in Montana is 25.0%.
What is the Poverty Level Among Single Females in the United States?
Poverty Level Among Single Females in the United States is 24.1%.