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
1.59812100.0%13.1%(+86.9)#113.7%(+86.3)#14
2.59083100.0%13.1%(+86.9)#213.7%(+86.3)#106
3.5993378.6%13.1%(+65.5)#313.7%(+64.9)#172
4.5975677.8%13.1%(+64.7)#413.7%(+64.1)#176
5.5905375.0%13.1%(+61.9)#513.7%(+61.3)#197
6.5974572.2%13.1%(+59.1)#613.7%(+58.5)#217
7.5985567.5%13.1%(+54.4)#713.7%(+53.8)#266
8.5931260.0%13.1%(+46.9)#813.7%(+46.3)#385
9.5934353.6%13.1%(+40.5)#913.7%(+39.9)#540
10.5984251.8%13.1%(+38.7)#1013.7%(+38.1)#594
11.5902250.2%13.1%(+37.1)#1113.7%(+36.5)#648
12.5924448.4%13.1%(+35.3)#1213.7%(+34.7)#729
13.5904347.9%13.1%(+34.8)#1313.7%(+34.2)#750
14.5921346.1%13.1%(+33.0)#1413.7%(+32.4)#829
15.5983044.3%13.1%(+31.2)#1513.7%(+30.6)#944
16.5925542.0%13.1%(+28.9)#1613.7%(+28.3)#1,095
17.5905840.0%13.1%(+26.9)#1713.7%(+26.3)#1,244
18.5903938.5%13.1%(+25.4)#1813.7%(+24.8)#1,388
19.5991538.2%13.1%(+25.2)#1913.7%(+24.5)#1,411
20.5944837.5%13.1%(+24.5)#2013.7%(+23.8)#1,474
21.5903537.3%13.1%(+24.3)#2113.7%(+23.7)#1,501
22.5952737.0%13.1%(+23.9)#2213.7%(+23.3)#1,536
23.5947936.8%13.1%(+23.7)#2313.7%(+23.1)#1,562
24.5908536.8%13.1%(+23.7)#2413.7%(+23.1)#1,570
25.5941736.7%13.1%(+23.6)#2513.7%(+23.0)#1,580
26.5946536.4%13.1%(+23.3)#2613.7%(+22.7)#1,616
27.5941035.6%13.1%(+22.5)#2713.7%(+21.9)#1,727
28.5948635.1%13.1%(+22.0)#2813.7%(+21.4)#1,810
29.5953734.9%13.1%(+21.8)#2913.7%(+21.2)#1,840
30.5941434.6%13.1%(+21.5)#3013.7%(+20.9)#1,899
31.5993634.1%13.1%(+21.0)#3113.7%(+20.4)#1,974
32.5920132.8%13.1%(+19.7)#3213.7%(+19.1)#2,204
33.5900232.7%13.1%(+19.7)#3313.7%(+19.0)#2,214
34.5952232.6%13.1%(+19.5)#3413.7%(+18.9)#2,243
35.5984432.4%13.1%(+19.3)#3513.7%(+18.7)#2,270
36.5983132.2%13.1%(+19.1)#3613.7%(+18.5)#2,328
37.5932631.4%13.1%(+18.3)#3713.7%(+17.7)#2,477
38.5941831.4%13.1%(+18.3)#3813.7%(+17.7)#2,479
39.5947131.4%13.1%(+18.3)#3913.7%(+17.7)#2,485
40.5985131.2%13.1%(+18.2)#4013.7%(+17.6)#2,517
41.5945631.1%13.1%(+18.0)#4113.7%(+17.4)#2,550
42.5974331.0%13.1%(+18.0)#4213.7%(+17.3)#2,563
43.5954230.9%13.1%(+17.9)#4313.7%(+17.2)#2,588
44.5921430.4%13.1%(+17.4)#4413.7%(+16.7)#2,698
45.5944430.3%13.1%(+17.2)#4513.7%(+16.6)#2,736
46.5963330.1%13.1%(+17.1)#4613.7%(+16.4)#2,785
47.5942729.4%13.1%(+16.3)#4713.7%(+15.7)#2,977
48.5906629.2%13.1%(+16.1)#4813.7%(+15.5)#3,043
49.5907428.8%13.1%(+15.7)#4913.7%(+15.1)#3,144
50.5926128.3%13.1%(+15.2)#5013.7%(+14.6)#3,292
51.5900728.3%13.1%(+15.2)#5113.7%(+14.6)#3,295
52.5935128.1%13.1%(+15.1)#5213.7%(+14.4)#3,330
53.5922527.8%13.1%(+14.8)#5313.7%(+14.1)#3,420
54.5952127.4%13.1%(+14.3)#5413.7%(+13.7)#3,547
55.5923127.2%13.1%(+14.1)#5513.7%(+13.5)#3,630
56.5908926.6%13.1%(+13.5)#5613.7%(+12.9)#3,852
57.5932226.3%13.1%(+13.2)#5713.7%(+12.6)#3,964
58.5906226.3%13.1%(+13.2)#5813.7%(+12.6)#3,968
59.5993526.2%13.1%(+13.2)#5913.7%(+12.5)#3,991
60.5903226.2%13.1%(+13.1)#6013.7%(+12.5)#4,010
61.5942225.3%13.1%(+12.2)#6113.7%(+11.6)#4,341
62.5953025.0%13.1%(+11.9)#6213.7%(+11.3)#4,477
63.5948724.8%13.1%(+11.7)#6313.7%(+11.1)#4,568
64.5991924.5%13.1%(+11.5)#6413.7%(+10.8)#4,664
65.5952624.4%13.1%(+11.4)#6513.7%(+10.7)#4,714
66.5942024.1%13.1%(+11.0)#6613.7%(+10.4)#4,873
67.5982124.0%13.1%(+10.9)#6713.7%(+10.3)#4,928
68.5900323.9%13.1%(+10.9)#6813.7%(+10.2)#4,937
69.5986423.3%13.1%(+10.3)#6913.7%(+9.63)#5,243
70.5991423.2%13.1%(+10.2)#7013.7%(+9.53)#5,296
71.5947223.2%13.1%(+10.1)#7113.7%(+9.50)#5,306
72.5902723.1%13.1%(+10.0)#7213.7%(+9.40)#5,367
73.5984522.6%13.1%(+9.55)#7313.7%(+8.92)#5,590
74.5901522.6%13.1%(+9.55)#7413.7%(+8.92)#5,592
75.5943422.1%13.1%(+9.05)#7513.7%(+8.42)#5,880
76.5932422.1%13.1%(+9.04)#7613.7%(+8.41)#5,885
77.5935322.1%13.1%(+9.01)#7713.7%(+8.39)#5,902
78.5903622.1%13.1%(+8.98)#7813.7%(+8.36)#5,921
79.5933821.9%13.1%(+8.80)#7913.7%(+8.18)#6,034
80.5905021.6%13.1%(+8.52)#8013.7%(+7.89)#6,210
81.5903421.3%13.1%(+8.24)#8113.7%(+7.61)#6,386
82.5900621.2%13.1%(+8.15)#8213.7%(+7.52)#6,441
83.5964321.1%13.1%(+8.05)#8313.7%(+7.42)#6,512
84.5973620.5%13.1%(+7.48)#8413.7%(+6.85)#6,892
85.5976220.2%13.1%(+7.11)#8513.7%(+6.48)#7,147
86.5992519.9%13.1%(+6.87)#8613.7%(+6.24)#7,303
87.5946419.9%13.1%(+6.85)#8713.7%(+6.23)#7,317
88.5924719.5%13.1%(+6.44)#8813.7%(+5.81)#7,604
89.5940119.3%13.1%(+6.27)#8913.7%(+5.64)#7,738
90.5921719.2%13.1%(+6.12)#9013.7%(+5.49)#7,847
91.5942519.1%13.1%(+6.03)#9113.7%(+5.41)#7,929
92.5985319.1%13.1%(+6.03)#9213.7%(+5.40)#7,932
93.5973119.1%13.1%(+6.03)#9313.7%(+5.40)#7,935
94.5971119.0%13.1%(+5.97)#9413.7%(+5.34)#7,984
95.5901318.8%13.1%(+5.68)#9513.7%(+5.05)#8,226
96.5973918.4%13.1%(+5.33)#9613.7%(+4.70)#8,510
97.5986518.2%13.1%(+5.17)#9713.7%(+4.55)#8,636
98.5902418.1%13.1%(+5.00)#9813.7%(+4.37)#8,780
99.5908618.0%13.1%(+4.93)#9913.7%(+4.31)#8,839
100.5980117.8%13.1%(+4.75)#10013.7%(+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%.