Zip Codes with the Highest Female Poverty Level in Montana

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Highest Poverty | 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 Female Poverty Level in Montana

0.0%
100.0%
Zip Codes with the Highest Female Poverty Level in Montana Map

Zip Codes with the Highest Female Poverty Level in Montana

Zip Code Female Poverty vs State vs National
1. 59812 100.0% 13.1% (+86.9)#1 13.7% (+86.3)#14
2. 59083 100.0% 13.1% (+86.9)#2 13.7% (+86.3)#106
3. 59933 78.6% 13.1% (+65.5)#3 13.7% (+64.9)#172
4. 59756 77.8% 13.1% (+64.7)#4 13.7% (+64.1)#176
5. 59053 75.0% 13.1% (+61.9)#5 13.7% (+61.3)#197
6. 59745 72.2% 13.1% (+59.1)#6 13.7% (+58.5)#217
7. 59855 67.5% 13.1% (+54.4)#7 13.7% (+53.8)#266
8. 59312 60.0% 13.1% (+46.9)#8 13.7% (+46.3)#385
9. 59343 53.6% 13.1% (+40.5)#9 13.7% (+39.9)#540
10. 59842 51.8% 13.1% (+38.7)#10 13.7% (+38.1)#594
11. 59022 50.2% 13.1% (+37.1)#11 13.7% (+36.5)#648
12. 59244 48.4% 13.1% (+35.3)#12 13.7% (+34.7)#729
13. 59043 47.9% 13.1% (+34.8)#13 13.7% (+34.2)#750
14. 59213 46.1% 13.1% (+33.0)#14 13.7% (+32.4)#829
15. 59830 44.3% 13.1% (+31.2)#15 13.7% (+30.6)#944
16. 59255 42.0% 13.1% (+28.9)#16 13.7% (+28.3)#1,095
17. 59058 40.0% 13.1% (+26.9)#17 13.7% (+26.3)#1,244
18. 59039 38.5% 13.1% (+25.4)#18 13.7% (+24.8)#1,388
19. 59915 38.2% 13.1% (+25.2)#19 13.7% (+24.5)#1,411
20. 59448 37.5% 13.1% (+24.5)#20 13.7% (+23.8)#1,474
21. 59035 37.3% 13.1% (+24.3)#21 13.7% (+23.7)#1,501
22. 59527 37.0% 13.1% (+23.9)#22 13.7% (+23.3)#1,536
23. 59479 36.8% 13.1% (+23.7)#23 13.7% (+23.1)#1,562
24. 59085 36.8% 13.1% (+23.7)#24 13.7% (+23.1)#1,570
25. 59417 36.7% 13.1% (+23.6)#25 13.7% (+23.0)#1,580
26. 59465 36.4% 13.1% (+23.3)#26 13.7% (+22.7)#1,616
27. 59410 35.6% 13.1% (+22.5)#27 13.7% (+21.9)#1,727
28. 59486 35.1% 13.1% (+22.0)#28 13.7% (+21.4)#1,810
29. 59537 34.9% 13.1% (+21.8)#29 13.7% (+21.2)#1,840
30. 59414 34.6% 13.1% (+21.5)#30 13.7% (+20.9)#1,899
31. 59936 34.1% 13.1% (+21.0)#31 13.7% (+20.4)#1,974
32. 59201 32.8% 13.1% (+19.7)#32 13.7% (+19.1)#2,204
33. 59002 32.7% 13.1% (+19.7)#33 13.7% (+19.0)#2,214
34. 59522 32.6% 13.1% (+19.5)#34 13.7% (+18.9)#2,243
35. 59844 32.4% 13.1% (+19.3)#35 13.7% (+18.7)#2,270
36. 59831 32.2% 13.1% (+19.1)#36 13.7% (+18.5)#2,328
37. 59326 31.4% 13.1% (+18.3)#37 13.7% (+17.7)#2,477
38. 59418 31.4% 13.1% (+18.3)#38 13.7% (+17.7)#2,479
39. 59471 31.4% 13.1% (+18.3)#39 13.7% (+17.7)#2,485
40. 59851 31.2% 13.1% (+18.2)#40 13.7% (+17.6)#2,517
41. 59456 31.1% 13.1% (+18.0)#41 13.7% (+17.4)#2,550
42. 59743 31.0% 13.1% (+18.0)#42 13.7% (+17.3)#2,563
43. 59542 30.9% 13.1% (+17.9)#43 13.7% (+17.2)#2,588
44. 59214 30.4% 13.1% (+17.4)#44 13.7% (+16.7)#2,698
45. 59444 30.3% 13.1% (+17.2)#45 13.7% (+16.6)#2,736
46. 59633 30.1% 13.1% (+17.1)#46 13.7% (+16.4)#2,785
47. 59427 29.4% 13.1% (+16.3)#47 13.7% (+15.7)#2,977
48. 59066 29.2% 13.1% (+16.1)#48 13.7% (+15.5)#3,043
49. 59074 28.8% 13.1% (+15.7)#49 13.7% (+15.1)#3,144
50. 59261 28.3% 13.1% (+15.2)#50 13.7% (+14.6)#3,292
51. 59007 28.3% 13.1% (+15.2)#51 13.7% (+14.6)#3,295
52. 59351 28.1% 13.1% (+15.1)#52 13.7% (+14.4)#3,330
53. 59225 27.8% 13.1% (+14.8)#53 13.7% (+14.1)#3,420
54. 59521 27.4% 13.1% (+14.3)#54 13.7% (+13.7)#3,547
55. 59231 27.2% 13.1% (+14.1)#55 13.7% (+13.5)#3,630
56. 59089 26.6% 13.1% (+13.5)#56 13.7% (+12.9)#3,852
57. 59322 26.3% 13.1% (+13.2)#57 13.7% (+12.6)#3,964
58. 59062 26.3% 13.1% (+13.2)#58 13.7% (+12.6)#3,968
59. 59935 26.2% 13.1% (+13.2)#59 13.7% (+12.5)#3,991
60. 59032 26.2% 13.1% (+13.1)#60 13.7% (+12.5)#4,010
61. 59422 25.3% 13.1% (+12.2)#61 13.7% (+11.6)#4,341
62. 59530 25.0% 13.1% (+11.9)#62 13.7% (+11.3)#4,477
63. 59487 24.8% 13.1% (+11.7)#63 13.7% (+11.1)#4,568
64. 59919 24.5% 13.1% (+11.5)#64 13.7% (+10.8)#4,664
65. 59526 24.4% 13.1% (+11.4)#65 13.7% (+10.7)#4,714
66. 59420 24.1% 13.1% (+11.0)#66 13.7% (+10.4)#4,873
67. 59821 24.0% 13.1% (+10.9)#67 13.7% (+10.3)#4,928
68. 59003 23.9% 13.1% (+10.9)#68 13.7% (+10.2)#4,937
69. 59864 23.3% 13.1% (+10.3)#69 13.7% (+9.63)#5,243
70. 59914 23.2% 13.1% (+10.2)#70 13.7% (+9.53)#5,296
71. 59472 23.2% 13.1% (+10.1)#71 13.7% (+9.50)#5,306
72. 59027 23.1% 13.1% (+10.0)#72 13.7% (+9.40)#5,367
73. 59845 22.6% 13.1% (+9.55)#73 13.7% (+8.92)#5,590
74. 59015 22.6% 13.1% (+9.55)#74 13.7% (+8.92)#5,592
75. 59434 22.1% 13.1% (+9.05)#75 13.7% (+8.42)#5,880
76. 59324 22.1% 13.1% (+9.04)#76 13.7% (+8.41)#5,885
77. 59353 22.1% 13.1% (+9.01)#77 13.7% (+8.39)#5,902
78. 59036 22.1% 13.1% (+8.98)#78 13.7% (+8.36)#5,921
79. 59338 21.9% 13.1% (+8.80)#79 13.7% (+8.18)#6,034
80. 59050 21.6% 13.1% (+8.52)#80 13.7% (+7.89)#6,210
81. 59034 21.3% 13.1% (+8.24)#81 13.7% (+7.61)#6,386
82. 59006 21.2% 13.1% (+8.15)#82 13.7% (+7.52)#6,441
83. 59643 21.1% 13.1% (+8.05)#83 13.7% (+7.42)#6,512
84. 59736 20.5% 13.1% (+7.48)#84 13.7% (+6.85)#6,892
85. 59762 20.2% 13.1% (+7.11)#85 13.7% (+6.48)#7,147
86. 59925 19.9% 13.1% (+6.87)#86 13.7% (+6.24)#7,303
87. 59464 19.9% 13.1% (+6.85)#87 13.7% (+6.23)#7,317
88. 59247 19.5% 13.1% (+6.44)#88 13.7% (+5.81)#7,604
89. 59401 19.3% 13.1% (+6.27)#89 13.7% (+5.64)#7,738
90. 59217 19.2% 13.1% (+6.12)#90 13.7% (+5.49)#7,847
91. 59425 19.1% 13.1% (+6.03)#91 13.7% (+5.41)#7,929
92. 59853 19.1% 13.1% (+6.03)#92 13.7% (+5.40)#7,932
93. 59731 19.1% 13.1% (+6.03)#93 13.7% (+5.40)#7,935
94. 59711 19.0% 13.1% (+5.97)#94 13.7% (+5.34)#7,984
95. 59013 18.8% 13.1% (+5.68)#95 13.7% (+5.05)#8,226
96. 59739 18.4% 13.1% (+5.33)#96 13.7% (+4.70)#8,510
97. 59865 18.2% 13.1% (+5.17)#97 13.7% (+4.55)#8,636
98. 59024 18.1% 13.1% (+5.00)#98 13.7% (+4.37)#8,780
99. 59086 18.0% 13.1% (+4.93)#99 13.7% (+4.31)#8,839
100. 59801 17.8% 13.1% (+4.75)#100 13.7% (+4.12)#8,999

Common Questions

What are the Top 10 Zip Codes with the Highest Female Poverty Level in Montana?
Top 10 Zip Codes with the Highest Female Poverty Level in Montana are:
#1
100.0%
#2
100.0%
#3
78.6%
#4
77.8%
#5
75.0%
#6
72.2%
#7
67.5%
#8
60.0%
#9
53.6%
#10
51.8%
What zip code has the Highest Female Poverty Level in Montana?
59812 has the Highest Female Poverty Level in Montana with 100.0%.
What is the Poverty Level Among Females in the State of Montana?
Poverty Level Among Females in Montana is 13.1%.
What is the Poverty Level Among Females in the United States?
Poverty Level Among Females in the United States is 13.7%.