Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Montana

RELATED REPORTS & OPTIONS

Highest Poverty | Girls 0-16
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 Child Poverty Level Among Girls Under the Age of 16 in Montana

0.0%
100.0%
Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Montana Map

Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Montana

Zip Code Child Poverty (Girls) vs State vs National
1.59844100.0%14.7%(+85.3)#117.0%(+83.0)#67
2.59231100.0%14.7%(+85.3)#217.0%(+83.0)#143
3.59855100.0%14.7%(+85.3)#317.0%(+83.0)#161
4.59053100.0%14.7%(+85.3)#417.0%(+83.0)#267
5.59035100.0%14.7%(+85.3)#517.0%(+83.0)#285
6.59258100.0%14.7%(+85.3)#617.0%(+83.0)#290
7.59745100.0%14.7%(+85.3)#717.0%(+83.0)#308
8.59530100.0%14.7%(+85.3)#817.0%(+83.0)#323
9.59012100.0%14.7%(+85.3)#917.0%(+83.0)#373
10.59214100.0%14.7%(+85.3)#1017.0%(+83.0)#375
11.59933100.0%14.7%(+85.3)#1117.0%(+83.0)#398
12.5941075.8%14.7%(+61.1)#1217.0%(+58.8)#682
13.5921369.5%14.7%(+54.8)#1317.0%(+52.5)#861
14.5908668.8%14.7%(+54.1)#1417.0%(+51.8)#890
15.5947168.8%14.7%(+54.1)#1517.0%(+51.8)#891
16.5947966.7%14.7%(+52.0)#1617.0%(+49.7)#953
17.5926166.7%14.7%(+52.0)#1717.0%(+49.7)#961
18.5983161.3%14.7%(+46.6)#1817.0%(+44.3)#1,195
19.5904360.4%14.7%(+45.7)#1917.0%(+43.4)#1,246
20.5902260.1%14.7%(+45.4)#2017.0%(+43.2)#1,254
21.5922556.7%14.7%(+42.0)#2117.0%(+39.7)#1,505
22.5973955.0%14.7%(+40.3)#2217.0%(+38.0)#1,619
23.5945654.2%14.7%(+39.5)#2317.0%(+37.2)#1,689
24.5944851.2%14.7%(+36.5)#2417.0%(+34.2)#1,954
25.5908850.0%14.7%(+35.3)#2517.0%(+33.0)#2,045
26.5900750.0%14.7%(+35.3)#2617.0%(+33.0)#2,096
27.5948748.5%14.7%(+33.9)#2717.0%(+31.6)#2,227
28.5944048.1%14.7%(+33.5)#2817.0%(+31.2)#2,269
29.5947247.4%14.7%(+32.7)#2917.0%(+30.4)#2,345
30.5943047.2%14.7%(+32.5)#3017.0%(+30.2)#2,367
31.5963945.6%14.7%(+30.9)#3117.0%(+28.6)#2,535
32.5942245.1%14.7%(+30.4)#3217.0%(+28.1)#2,600
33.5920144.4%14.7%(+29.7)#3317.0%(+27.4)#2,688
34.5973143.8%14.7%(+29.1)#3417.0%(+26.8)#2,775
35.5906643.4%14.7%(+28.7)#3517.0%(+26.4)#2,833
36.5993542.0%14.7%(+27.4)#3617.0%(+25.1)#3,032
37.5992541.5%14.7%(+26.8)#3717.0%(+24.5)#3,110
38.5944441.4%14.7%(+26.7)#3817.0%(+24.4)#3,127
39.5941840.0%14.7%(+25.3)#3917.0%(+23.0)#3,387
40.5900639.7%14.7%(+25.1)#4017.0%(+22.8)#3,421
41.5942739.1%14.7%(+24.4)#4117.0%(+22.1)#3,528
42.5941738.9%14.7%(+24.2)#4217.0%(+21.9)#3,557
43.5935338.0%14.7%(+23.3)#4317.0%(+21.0)#3,732
44.5985337.2%14.7%(+22.5)#4417.0%(+20.2)#3,905
45.5952137.2%14.7%(+22.5)#4517.0%(+20.2)#3,906
46.5925535.2%14.7%(+20.5)#4617.0%(+18.2)#4,346
47.5986635.1%14.7%(+20.4)#4717.0%(+18.1)#4,367
48.5901535.0%14.7%(+20.3)#4817.0%(+18.0)#4,381
49.5952634.8%14.7%(+20.2)#4917.0%(+17.9)#4,409
50.5992733.3%14.7%(+18.7)#5017.0%(+16.4)#4,810
51.5933933.3%14.7%(+18.7)#5117.0%(+16.4)#4,824
52.5952231.7%14.7%(+17.1)#5217.0%(+14.8)#5,251
53.5948631.6%14.7%(+16.9)#5317.0%(+14.6)#5,291
54.5932231.2%14.7%(+16.6)#5417.0%(+14.3)#5,394
55.5942130.5%14.7%(+15.8)#5517.0%(+13.5)#5,600
56.5942530.3%14.7%(+15.7)#5617.0%(+13.4)#5,640
57.5903630.0%14.7%(+15.3)#5717.0%(+13.0)#5,741
58.5971029.4%14.7%(+14.7)#5817.0%(+12.4)#5,929
59.5992329.2%14.7%(+14.6)#5917.0%(+12.3)#5,979
60.5953128.7%14.7%(+14.1)#6017.0%(+11.8)#6,137
61.5905928.6%14.7%(+13.9)#6117.0%(+11.6)#6,198
62.5986028.0%14.7%(+13.3)#6217.0%(+11.0)#6,416
63.5905027.9%14.7%(+13.2)#6317.0%(+10.9)#6,441
64.5986527.4%14.7%(+12.8)#6417.0%(+10.5)#6,590
65.5940127.1%14.7%(+12.4)#6517.0%(+10.1)#6,714
66.5991425.9%14.7%(+11.2)#6617.0%(+8.95)#7,152
67.5991725.8%14.7%(+11.1)#6717.0%(+8.78)#7,225
68.5975425.6%14.7%(+11.0)#6817.0%(+8.66)#7,277
69.5963525.1%14.7%(+10.4)#6917.0%(+8.15)#7,472
70.5945125.0%14.7%(+10.3)#7017.0%(+8.02)#7,575
71.5982924.2%14.7%(+9.53)#7117.0%(+7.23)#7,875
72.5985924.1%14.7%(+9.45)#7217.0%(+7.15)#7,899
73.5964423.6%14.7%(+8.94)#7317.0%(+6.65)#8,104
74.5992223.1%14.7%(+8.47)#7417.0%(+6.17)#8,298
75.5970122.9%14.7%(+8.20)#7517.0%(+5.91)#8,436
76.5907222.8%14.7%(+8.09)#7617.0%(+5.79)#8,485
77.5952722.2%14.7%(+7.54)#7717.0%(+5.25)#8,740
78.5987022.1%14.7%(+7.40)#7817.0%(+5.11)#8,821
79.5904121.7%14.7%(+7.04)#7917.0%(+4.74)#9,005
80.5901621.4%14.7%(+6.75)#8017.0%(+4.45)#9,150
81.5923021.3%14.7%(+6.62)#8117.0%(+4.33)#9,222
82.5908921.1%14.7%(+6.45)#8217.0%(+4.15)#9,302
83.5933221.1%14.7%(+6.37)#8317.0%(+4.08)#9,338
84.5982021.0%14.7%(+6.30)#8417.0%(+4.00)#9,362
85.5903120.7%14.7%(+5.97)#8517.0%(+3.68)#9,541
86.5982120.6%14.7%(+5.93)#8617.0%(+3.64)#9,552
87.5987220.3%14.7%(+5.62)#8717.0%(+3.32)#9,693
88.5910220.3%14.7%(+5.57)#8817.0%(+3.28)#9,714
89.5964520.2%14.7%(+5.50)#8917.0%(+3.20)#9,766
90.5950120.1%14.7%(+5.47)#9017.0%(+3.17)#9,781
91.5942020.0%14.7%(+5.32)#9117.0%(+3.02)#9,887
92.5974320.0%14.7%(+5.32)#9217.0%(+3.02)#9,894
93.5975919.8%14.7%(+5.14)#9317.0%(+2.84)#9,965
94.5910119.4%14.7%(+4.75)#9417.0%(+2.45)#10,146
95.5973019.1%14.7%(+4.44)#9517.0%(+2.15)#10,304
96.5984118.7%14.7%(+3.98)#9617.0%(+1.68)#10,553
97.5986418.7%14.7%(+3.98)#9717.0%(+1.68)#10,555
98.5987518.6%14.7%(+3.94)#9817.0%(+1.65)#10,576
99.5945718.6%14.7%(+3.88)#9917.0%(+1.58)#10,612
100.5992018.5%14.7%(+3.82)#10017.0%(+1.53)#10,650

Common Questions

What are the Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Montana?
Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 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 Child Poverty Level Among Girls Under the Age of 16 in Montana?
59844 has the Highest Child Poverty Level Among Girls Under the Age of 16 in Montana with 100.0%.
What is the Poverty Level Among Girls Under the Age of 16 in the State of Montana?
Poverty Level Among Girls Under the Age of 16 in Montana is 14.7%.
What is the Poverty Level Among Girls Under the Age of 16 in the United States?
Poverty Level Among Girls Under the Age of 16 in the United States is 17.0%.