Zip Codes with the Highest Poverty Level Among Females Between Ages 18 and 24 in Montana

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Highest Poverty | Female 18-24
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 Females Between Ages 18 and 24 in Montana

0.0%
100.0%
Zip Codes with the Highest Poverty Level Among Females Between Ages 18 and 24 in Montana Map

Zip Codes with the Highest Poverty Level Among Females Between Ages 18 and 24 in Montana

Zip Code Female Poverty vs State vs National
1.59873100.0%26.7%(+73.3)#121.6%(+78.4)#31
2.59812100.0%26.7%(+73.3)#221.6%(+78.4)#107
3.59844100.0%26.7%(+73.3)#321.6%(+78.4)#228
4.59212100.0%26.7%(+73.3)#421.6%(+78.4)#407
5.59087100.0%26.7%(+73.3)#521.6%(+78.4)#419
6.59420100.0%26.7%(+73.3)#621.6%(+78.4)#484
7.59745100.0%26.7%(+73.3)#721.6%(+78.4)#569
8.59736100.0%26.7%(+73.3)#821.6%(+78.4)#581
9.59830100.0%26.7%(+73.3)#921.6%(+78.4)#584
10.59311100.0%26.7%(+73.3)#1021.6%(+78.4)#587
11.59343100.0%26.7%(+73.3)#1121.6%(+78.4)#650
12.59273100.0%26.7%(+73.3)#1221.6%(+78.4)#669
13.5921393.1%26.7%(+66.5)#1321.6%(+71.5)#705
14.5987488.9%26.7%(+62.2)#1421.6%(+67.3)#748
15.5971686.4%26.7%(+59.7)#1521.6%(+64.8)#798
16.5976285.7%26.7%(+59.1)#1621.6%(+64.1)#808
17.5952284.4%26.7%(+57.7)#1721.6%(+62.8)#825
18.5948684.0%26.7%(+57.3)#1821.6%(+62.4)#827
19.5993682.1%26.7%(+55.4)#1921.6%(+60.5)#870
20.5946473.7%26.7%(+47.0)#2021.6%(+52.1)#1,084
21.5986573.2%26.7%(+46.6)#2121.6%(+51.6)#1,101
22.5975866.7%26.7%(+40.0)#2221.6%(+45.1)#1,330
23.5993463.6%26.7%(+37.0)#2321.6%(+42.0)#1,522
24.5902262.9%26.7%(+36.3)#2421.6%(+41.3)#1,570
25.5926162.5%26.7%(+35.8)#2521.6%(+40.9)#1,600
26.5901857.1%26.7%(+30.5)#2621.6%(+35.5)#1,936
27.5901656.5%26.7%(+29.9)#2721.6%(+34.9)#1,983
28.5986455.5%26.7%(+28.9)#2821.6%(+33.9)#2,055
29.5971553.9%26.7%(+27.2)#2921.6%(+32.3)#2,177
30.5945753.4%26.7%(+26.8)#3021.6%(+31.8)#2,232
31.5944252.3%26.7%(+25.7)#3121.6%(+30.7)#2,320
32.5944851.2%26.7%(+24.5)#3221.6%(+29.6)#2,411
33.5903451.0%26.7%(+24.3)#3321.6%(+29.4)#2,435
34.5906650.0%26.7%(+23.3)#3421.6%(+28.4)#2,562
35.5923150.0%26.7%(+23.3)#3521.6%(+28.4)#2,585
36.5974850.0%26.7%(+23.3)#3621.6%(+28.4)#2,595
37.5941749.9%26.7%(+23.2)#3721.6%(+28.3)#2,621
38.5933748.8%26.7%(+22.1)#3821.6%(+27.2)#2,711
39.5903747.1%26.7%(+20.4)#3921.6%(+25.5)#2,903
40.5971146.7%26.7%(+20.0)#4021.6%(+25.1)#2,960
41.5993544.4%26.7%(+17.8)#4121.6%(+22.8)#3,234
42.5925944.4%26.7%(+17.8)#4221.6%(+22.8)#3,259
43.5943643.4%26.7%(+16.8)#4321.6%(+21.8)#3,393
44.5942543.4%26.7%(+16.7)#4421.6%(+21.8)#3,399
45.5935342.9%26.7%(+16.2)#4521.6%(+21.3)#3,479
46.5920142.2%26.7%(+15.5)#4621.6%(+20.6)#3,578
47.5980141.9%26.7%(+15.2)#4721.6%(+20.3)#3,644
48.5942741.5%26.7%(+14.8)#4821.6%(+19.9)#3,704
49.5904341.1%26.7%(+14.5)#4921.6%(+19.5)#3,765
50.5982841.1%26.7%(+14.5)#5021.6%(+19.5)#3,767
51.5943440.9%26.7%(+14.3)#5121.6%(+19.3)#3,796
52.5904138.6%26.7%(+11.9)#5221.6%(+17.0)#4,199
53.5980238.3%26.7%(+11.7)#5321.6%(+16.7)#4,254
54.5973937.5%26.7%(+10.8)#5421.6%(+15.9)#4,442
55.5984036.4%26.7%(+9.71)#5521.6%(+14.8)#4,642
56.5925536.3%26.7%(+9.65)#5621.6%(+14.7)#4,678
57.5940136.2%26.7%(+9.59)#5721.6%(+14.6)#4,694
58.5952735.9%26.7%(+9.25)#5821.6%(+14.3)#4,762
59.5983435.1%26.7%(+8.48)#5921.6%(+13.5)#4,942
60.5971834.9%26.7%(+8.23)#6021.6%(+13.3)#5,007
61.5933033.5%26.7%(+6.83)#6121.6%(+11.9)#5,294
62.5972533.3%26.7%(+6.68)#6221.6%(+11.7)#5,314
63.5906933.3%26.7%(+6.68)#6321.6%(+11.7)#5,402
64.5942232.8%26.7%(+6.14)#6421.6%(+11.2)#5,519
65.5901532.3%26.7%(+5.61)#6521.6%(+10.7)#5,649
66.5982331.3%26.7%(+4.66)#6621.6%(+9.72)#5,876
67.5985330.8%26.7%(+4.12)#6721.6%(+9.17)#6,018
68.5950130.8%26.7%(+4.11)#6821.6%(+9.16)#6,024
69.5934729.4%26.7%(+2.76)#6921.6%(+7.81)#6,451
70.5910527.9%26.7%(+1.26)#7021.6%(+6.31)#6,956
71.5963527.8%26.7%(+1.20)#7121.6%(+6.25)#6,975
72.5970127.1%26.7%(+0.419)#7221.6%(+5.47)#7,232
73.5960126.5%26.7%(-0.156)#7321.6%(+4.90)#7,441
74.5910626.4%26.7%(-0.240)#7421.6%(+4.81)#7,477
75.5952626.3%26.7%(-0.335)#7521.6%(+4.72)#7,517
76.5987225.8%26.7%(-0.844)#7621.6%(+4.21)#7,692
77.5926225.8%26.7%(-0.893)#7721.6%(+4.16)#7,713
78.5948725.0%26.7%(-1.65)#7821.6%(+3.40)#7,983
79.5986024.9%26.7%(-1.75)#7921.6%(+3.31)#8,074
80.5931324.5%26.7%(-2.15)#8021.6%(+2.91)#8,195
81.5904724.4%26.7%(-2.25)#8121.6%(+2.80)#8,230
82.5980824.3%26.7%(-2.31)#8221.6%(+2.75)#8,256
83.5964424.0%26.7%(-2.65)#8321.6%(+2.40)#8,383
84.5940424.0%26.7%(-2.67)#8421.6%(+2.38)#8,397
85.5974923.7%26.7%(-2.90)#8521.6%(+2.15)#8,488
86.5940522.5%26.7%(-4.18)#8621.6%(+0.872)#9,018
87.5927020.9%26.7%(-5.74)#8721.6%(-0.692)#9,750
88.5952120.8%26.7%(-5.87)#8821.6%(-0.818)#9,822
89.5942120.7%26.7%(-5.96)#8921.6%(-0.908)#9,858
90.5983120.7%26.7%(-5.96)#9021.6%(-0.908)#9,864
91.5984520.4%26.7%(-6.28)#9121.6%(-1.23)#10,003
92.5910120.3%26.7%(-6.32)#9221.6%(-1.27)#10,021
93.5960220.3%26.7%(-6.35)#9321.6%(-1.29)#10,030
94.5922520.0%26.7%(-6.65)#9421.6%(-1.60)#10,206
95.5983319.9%26.7%(-6.76)#9521.6%(-1.70)#10,259
96.5924319.4%26.7%(-7.30)#9621.6%(-2.24)#10,518
97.5985819.2%26.7%(-7.47)#9721.6%(-2.42)#10,600
98.5987018.3%26.7%(-8.37)#9821.6%(-3.32)#11,064
99.5983218.2%26.7%(-8.47)#9921.6%(-3.42)#11,138
100.5908917.6%26.7%(-9.00)#10021.6%(-3.95)#11,426

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 18 and 24 in Montana?
Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 18 and 24 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 Females Between Ages 18 and 24 in Montana?
59873 has the Highest Poverty Level Among Females Between Ages 18 and 24 in Montana with 100.0%.
What is the Poverty Level Among Females Between Ages 18 and 24 in the State of Montana?
Poverty Level Among Females Between Ages 18 and 24 in Montana is 26.7%.
What is the Poverty Level Among Females Between Ages 18 and 24 in the United States?
Poverty Level Among Females Between Ages 18 and 24 in the United States is 21.6%.