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

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Lowest 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 Lowest Child Poverty Level Among Girls Under the Age of 16 in Montana

25.0%
0.0%
Zip Codes with the Lowest Child Poverty Level Among Girls Under the Age of 16 in Montana Map

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

Zip Code Child Poverty (Girls) vs State vs National
1.591060.53%14.7%(-14.2)#117.0%(-16.4)#87
2.593301.6%14.7%(-13.1)#217.0%(-15.4)#756
3.593271.7%14.7%(-13.0)#317.0%(-15.3)#836
4.594331.8%14.7%(-12.9)#417.0%(-15.2)#927
5.590792.2%14.7%(-12.4)#517.0%(-14.7)#1,270
6.593172.4%14.7%(-12.3)#617.0%(-14.6)#1,423
7.597492.5%14.7%(-12.1)#717.0%(-14.4)#1,534
8.598032.8%14.7%(-11.9)#817.0%(-14.2)#1,693
9.592702.8%14.7%(-11.9)#917.0%(-14.2)#1,715
10.598043.0%14.7%(-11.6)#1017.0%(-13.9)#1,948
11.597603.4%14.7%(-11.2)#1117.0%(-13.5)#2,304
12.599113.6%14.7%(-11.1)#1217.0%(-13.3)#2,457
13.594503.6%14.7%(-11.0)#1317.0%(-13.3)#2,468
14.592623.9%14.7%(-10.7)#1417.0%(-13.0)#2,735
15.594854.2%14.7%(-10.5)#1517.0%(-12.8)#2,945
16.594424.2%14.7%(-10.4)#1617.0%(-12.7)#3,010
17.595234.3%14.7%(-10.4)#1717.0%(-12.7)#3,018
18.592124.3%14.7%(-10.3)#1817.0%(-12.6)#3,101
19.597414.4%14.7%(-10.2)#1917.0%(-12.5)#3,187
20.597224.5%14.7%(-10.2)#2017.0%(-12.5)#3,210
21.597524.6%14.7%(-10.1)#2117.0%(-12.4)#3,320
22.597284.8%14.7%(-9.92)#2217.0%(-12.2)#3,481
23.590195.5%14.7%(-9.21)#2317.0%(-11.5)#4,120
24.597155.6%14.7%(-9.07)#2417.0%(-11.4)#4,238
25.597325.7%14.7%(-8.96)#2517.0%(-11.3)#4,327
26.592755.8%14.7%(-8.91)#2617.0%(-11.2)#4,380
27.598246.1%14.7%(-8.62)#2717.0%(-10.9)#4,620
28.590296.1%14.7%(-8.56)#2817.0%(-10.9)#4,682
29.598286.1%14.7%(-8.54)#2917.0%(-10.8)#4,696
30.597186.4%14.7%(-8.25)#3017.0%(-10.5)#4,929
31.596026.9%14.7%(-7.73)#3117.0%(-10.0)#5,350
32.590147.0%14.7%(-7.64)#3217.0%(-9.93)#5,429
33.596347.3%14.7%(-7.43)#3317.0%(-9.72)#5,599
34.593017.3%14.7%(-7.42)#3417.0%(-9.72)#5,608
35.599127.3%14.7%(-7.34)#3517.0%(-9.63)#5,677
36.598087.6%14.7%(-7.12)#3617.0%(-9.41)#5,894
37.594827.6%14.7%(-7.10)#3717.0%(-9.39)#5,914
38.598027.7%14.7%(-6.97)#3817.0%(-9.27)#6,054
39.594898.0%14.7%(-6.68)#3917.0%(-8.98)#6,286
40.593138.0%14.7%(-6.65)#4017.0%(-8.94)#6,305
41.592548.5%14.7%(-6.22)#4117.0%(-8.51)#6,642
42.591058.6%14.7%(-6.07)#4217.0%(-8.37)#6,753
43.592488.7%14.7%(-6.03)#4317.0%(-8.32)#6,779
44.593448.8%14.7%(-5.86)#4417.0%(-8.15)#6,920
45.596018.8%14.7%(-5.84)#4517.0%(-8.14)#6,942
46.598479.1%14.7%(-5.53)#4617.0%(-7.83)#7,183
47.592639.4%14.7%(-5.27)#4717.0%(-7.56)#7,385
48.598739.7%14.7%(-4.94)#4817.0%(-7.24)#7,655
49.5907410.0%14.7%(-4.68)#4917.0%(-6.98)#7,881
50.5932610.2%14.7%(-4.49)#5017.0%(-6.79)#8,002
51.5941210.3%14.7%(-4.37)#5117.0%(-6.67)#8,099
52.5904410.8%14.7%(-3.89)#5217.0%(-6.19)#8,442
53.5946811.1%14.7%(-3.57)#5317.0%(-5.86)#8,693
54.5952011.2%14.7%(-3.48)#5417.0%(-5.78)#8,764
55.5972911.3%14.7%(-3.40)#5517.0%(-5.69)#8,830
56.5990111.3%14.7%(-3.34)#5617.0%(-5.63)#8,871
57.5940411.7%14.7%(-3.01)#5717.0%(-5.31)#9,086
58.5975011.8%14.7%(-2.91)#5817.0%(-5.21)#9,166
59.5900211.8%14.7%(-2.91)#5917.0%(-5.21)#9,168
60.5971412.0%14.7%(-2.65)#6017.0%(-4.94)#9,340
61.5900112.1%14.7%(-2.56)#6117.0%(-4.85)#9,394
62.5946412.2%14.7%(-2.43)#6217.0%(-4.73)#9,499
63.5903412.4%14.7%(-2.28)#6317.0%(-4.58)#9,592
64.5993712.4%14.7%(-2.27)#6417.0%(-4.56)#9,601
65.5983412.7%14.7%(-1.93)#6517.0%(-4.23)#9,823
66.5901812.8%14.7%(-1.86)#6617.0%(-4.16)#9,878
67.5922112.9%14.7%(-1.78)#6717.0%(-4.07)#9,935
68.5971113.1%14.7%(-1.60)#6817.0%(-3.89)#10,063
69.5982513.1%14.7%(-1.58)#6917.0%(-3.87)#10,077
70.5904714.7%14.7%(-0.001)#7017.0%(-2.30)#11,136
71.5984014.9%14.7%(+0.240)#7117.0%(-2.06)#11,286
72.5975815.0%14.7%(+0.274)#7217.0%(-2.02)#11,315
73.5932315.2%14.7%(+0.538)#7317.0%(-1.76)#11,488
74.5944615.3%14.7%(+0.575)#7417.0%(-1.72)#11,522
75.5982316.0%14.7%(+1.29)#7517.0%(-1.01)#11,969
76.5903816.1%14.7%(+1.45)#7617.0%(-0.847)#12,072
77.5980116.3%14.7%(+1.57)#7717.0%(-0.723)#12,140
78.5940516.4%14.7%(+1.69)#7817.0%(-0.611)#12,215
79.5906816.5%14.7%(+1.82)#7917.0%(-0.476)#12,281
80.5984516.7%14.7%(+1.99)#8017.0%(-0.309)#12,370
81.5921816.7%14.7%(+1.99)#8117.0%(-0.309)#12,375
82.5952416.8%14.7%(+2.11)#8217.0%(-0.188)#12,470
83.5972517.2%14.7%(+2.52)#8317.0%(+0.219)#12,705
84.5925217.6%14.7%(+2.97)#8417.0%(+0.671)#13,003
85.5943617.8%14.7%(+3.17)#8517.0%(+0.869)#13,099
86.5992018.5%14.7%(+3.82)#8617.0%(+1.53)#13,460
87.5945718.6%14.7%(+3.88)#8717.0%(+1.58)#13,497
88.5987518.6%14.7%(+3.94)#8817.0%(+1.65)#13,533
89.5986418.7%14.7%(+3.98)#8917.0%(+1.68)#13,554
90.5984118.7%14.7%(+3.98)#9017.0%(+1.68)#13,556
91.5973019.1%14.7%(+4.44)#9117.0%(+2.15)#13,805
92.5910119.4%14.7%(+4.75)#9217.0%(+2.45)#13,963
93.5975919.8%14.7%(+5.14)#9317.0%(+2.84)#14,144
94.5942020.0%14.7%(+5.32)#9417.0%(+3.02)#14,264
95.5974320.0%14.7%(+5.32)#9517.0%(+3.02)#14,270
96.5950120.1%14.7%(+5.47)#9617.0%(+3.17)#14,328
97.5964520.2%14.7%(+5.50)#9717.0%(+3.20)#14,345
98.5910220.3%14.7%(+5.57)#9817.0%(+3.28)#14,395
99.5987220.3%14.7%(+5.62)#9917.0%(+3.32)#14,414
100.5982120.6%14.7%(+5.93)#10017.0%(+3.64)#14,557

Common Questions

What are the Top 10 Zip Codes with the Lowest Child Poverty Level Among Girls Under the Age of 16 in Montana?
Top 10 Zip Codes with the Lowest Child Poverty Level Among Girls Under the Age of 16 in Montana are:
#1
0.53%
#2
1.6%
#3
1.7%
#4
1.8%
#5
2.2%
#6
2.4%
#7
2.5%
#8
2.8%
#9
2.8%
#10
3.0%
What zip code has the Lowest Child Poverty Level Among Girls Under the Age of 16 in Montana?
59106 has the Lowest Child Poverty Level Among Girls Under the Age of 16 in Montana with 0.53%.
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%.