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. 59106 0.53% 14.7% (-14.2)#1 17.0% (-16.4)#87
2. 59330 1.6% 14.7% (-13.1)#2 17.0% (-15.4)#756
3. 59327 1.7% 14.7% (-13.0)#3 17.0% (-15.3)#836
4. 59433 1.8% 14.7% (-12.9)#4 17.0% (-15.2)#927
5. 59079 2.2% 14.7% (-12.4)#5 17.0% (-14.7)#1,270
6. 59317 2.4% 14.7% (-12.3)#6 17.0% (-14.6)#1,423
7. 59749 2.5% 14.7% (-12.1)#7 17.0% (-14.4)#1,534
8. 59803 2.8% 14.7% (-11.9)#8 17.0% (-14.2)#1,693
9. 59270 2.8% 14.7% (-11.9)#9 17.0% (-14.2)#1,715
10. 59804 3.0% 14.7% (-11.6)#10 17.0% (-13.9)#1,948
11. 59760 3.4% 14.7% (-11.2)#11 17.0% (-13.5)#2,304
12. 59911 3.6% 14.7% (-11.1)#12 17.0% (-13.3)#2,457
13. 59450 3.6% 14.7% (-11.0)#13 17.0% (-13.3)#2,468
14. 59262 3.9% 14.7% (-10.7)#14 17.0% (-13.0)#2,735
15. 59485 4.2% 14.7% (-10.5)#15 17.0% (-12.8)#2,945
16. 59442 4.2% 14.7% (-10.4)#16 17.0% (-12.7)#3,010
17. 59523 4.3% 14.7% (-10.4)#17 17.0% (-12.7)#3,018
18. 59212 4.3% 14.7% (-10.3)#18 17.0% (-12.6)#3,101
19. 59741 4.4% 14.7% (-10.2)#19 17.0% (-12.5)#3,187
20. 59722 4.5% 14.7% (-10.2)#20 17.0% (-12.5)#3,210
21. 59752 4.6% 14.7% (-10.1)#21 17.0% (-12.4)#3,320
22. 59728 4.8% 14.7% (-9.92)#22 17.0% (-12.2)#3,481
23. 59019 5.5% 14.7% (-9.21)#23 17.0% (-11.5)#4,120
24. 59715 5.6% 14.7% (-9.07)#24 17.0% (-11.4)#4,238
25. 59732 5.7% 14.7% (-8.96)#25 17.0% (-11.3)#4,327
26. 59275 5.8% 14.7% (-8.91)#26 17.0% (-11.2)#4,380
27. 59824 6.1% 14.7% (-8.62)#27 17.0% (-10.9)#4,620
28. 59029 6.1% 14.7% (-8.56)#28 17.0% (-10.9)#4,682
29. 59828 6.1% 14.7% (-8.54)#29 17.0% (-10.8)#4,696
30. 59718 6.4% 14.7% (-8.25)#30 17.0% (-10.5)#4,929
31. 59602 6.9% 14.7% (-7.73)#31 17.0% (-10.0)#5,350
32. 59014 7.0% 14.7% (-7.64)#32 17.0% (-9.93)#5,429
33. 59634 7.3% 14.7% (-7.43)#33 17.0% (-9.72)#5,599
34. 59301 7.3% 14.7% (-7.42)#34 17.0% (-9.72)#5,608
35. 59912 7.3% 14.7% (-7.34)#35 17.0% (-9.63)#5,677
36. 59808 7.6% 14.7% (-7.12)#36 17.0% (-9.41)#5,894
37. 59482 7.6% 14.7% (-7.10)#37 17.0% (-9.39)#5,914
38. 59802 7.7% 14.7% (-6.97)#38 17.0% (-9.27)#6,054
39. 59489 8.0% 14.7% (-6.68)#39 17.0% (-8.98)#6,286
40. 59313 8.0% 14.7% (-6.65)#40 17.0% (-8.94)#6,305
41. 59254 8.5% 14.7% (-6.22)#41 17.0% (-8.51)#6,642
42. 59105 8.6% 14.7% (-6.07)#42 17.0% (-8.37)#6,753
43. 59248 8.7% 14.7% (-6.03)#43 17.0% (-8.32)#6,779
44. 59344 8.8% 14.7% (-5.86)#44 17.0% (-8.15)#6,920
45. 59601 8.8% 14.7% (-5.84)#45 17.0% (-8.14)#6,942
46. 59847 9.1% 14.7% (-5.53)#46 17.0% (-7.83)#7,183
47. 59263 9.4% 14.7% (-5.27)#47 17.0% (-7.56)#7,385
48. 59873 9.7% 14.7% (-4.94)#48 17.0% (-7.24)#7,655
49. 59074 10.0% 14.7% (-4.68)#49 17.0% (-6.98)#7,881
50. 59326 10.2% 14.7% (-4.49)#50 17.0% (-6.79)#8,002
51. 59412 10.3% 14.7% (-4.37)#51 17.0% (-6.67)#8,099
52. 59044 10.8% 14.7% (-3.89)#52 17.0% (-6.19)#8,442
53. 59468 11.1% 14.7% (-3.57)#53 17.0% (-5.86)#8,693
54. 59520 11.2% 14.7% (-3.48)#54 17.0% (-5.78)#8,764
55. 59729 11.3% 14.7% (-3.40)#55 17.0% (-5.69)#8,830
56. 59901 11.3% 14.7% (-3.34)#56 17.0% (-5.63)#8,871
57. 59404 11.7% 14.7% (-3.01)#57 17.0% (-5.31)#9,086
58. 59750 11.8% 14.7% (-2.91)#58 17.0% (-5.21)#9,166
59. 59002 11.8% 14.7% (-2.91)#59 17.0% (-5.21)#9,168
60. 59714 12.0% 14.7% (-2.65)#60 17.0% (-4.94)#9,340
61. 59001 12.1% 14.7% (-2.56)#61 17.0% (-4.85)#9,394
62. 59464 12.2% 14.7% (-2.43)#62 17.0% (-4.73)#9,499
63. 59034 12.4% 14.7% (-2.28)#63 17.0% (-4.58)#9,592
64. 59937 12.4% 14.7% (-2.27)#64 17.0% (-4.56)#9,601
65. 59834 12.7% 14.7% (-1.93)#65 17.0% (-4.23)#9,823
66. 59018 12.8% 14.7% (-1.86)#66 17.0% (-4.16)#9,878
67. 59221 12.9% 14.7% (-1.78)#67 17.0% (-4.07)#9,935
68. 59711 13.1% 14.7% (-1.60)#68 17.0% (-3.89)#10,063
69. 59825 13.1% 14.7% (-1.58)#69 17.0% (-3.87)#10,077
70. 59047 14.7% 14.7% (-0.001)#70 17.0% (-2.30)#11,136
71. 59840 14.9% 14.7% (+0.240)#71 17.0% (-2.06)#11,286
72. 59758 15.0% 14.7% (+0.274)#72 17.0% (-2.02)#11,315
73. 59323 15.2% 14.7% (+0.538)#73 17.0% (-1.76)#11,488
74. 59446 15.3% 14.7% (+0.575)#74 17.0% (-1.72)#11,522
75. 59823 16.0% 14.7% (+1.29)#75 17.0% (-1.01)#11,969
76. 59038 16.1% 14.7% (+1.45)#76 17.0% (-0.847)#12,072
77. 59801 16.3% 14.7% (+1.57)#77 17.0% (-0.723)#12,140
78. 59405 16.4% 14.7% (+1.69)#78 17.0% (-0.611)#12,215
79. 59068 16.5% 14.7% (+1.82)#79 17.0% (-0.476)#12,281
80. 59845 16.7% 14.7% (+1.99)#80 17.0% (-0.309)#12,370
81. 59218 16.7% 14.7% (+1.99)#81 17.0% (-0.309)#12,375
82. 59524 16.8% 14.7% (+2.11)#82 17.0% (-0.188)#12,470
83. 59725 17.2% 14.7% (+2.52)#83 17.0% (+0.219)#12,705
84. 59252 17.6% 14.7% (+2.97)#84 17.0% (+0.671)#13,003
85. 59436 17.8% 14.7% (+3.17)#85 17.0% (+0.869)#13,099
86. 59920 18.5% 14.7% (+3.82)#86 17.0% (+1.53)#13,460
87. 59457 18.6% 14.7% (+3.88)#87 17.0% (+1.58)#13,497
88. 59875 18.6% 14.7% (+3.94)#88 17.0% (+1.65)#13,533
89. 59864 18.7% 14.7% (+3.98)#89 17.0% (+1.68)#13,554
90. 59841 18.7% 14.7% (+3.98)#90 17.0% (+1.68)#13,556
91. 59730 19.1% 14.7% (+4.44)#91 17.0% (+2.15)#13,805
92. 59101 19.4% 14.7% (+4.75)#92 17.0% (+2.45)#13,963
93. 59759 19.8% 14.7% (+5.14)#93 17.0% (+2.84)#14,144
94. 59420 20.0% 14.7% (+5.32)#94 17.0% (+3.02)#14,264
95. 59743 20.0% 14.7% (+5.32)#95 17.0% (+3.02)#14,270
96. 59501 20.1% 14.7% (+5.47)#96 17.0% (+3.17)#14,328
97. 59645 20.2% 14.7% (+5.50)#97 17.0% (+3.20)#14,345
98. 59102 20.3% 14.7% (+5.57)#98 17.0% (+3.28)#14,395
99. 59872 20.3% 14.7% (+5.62)#99 17.0% (+3.32)#14,414
100. 59821 20.6% 14.7% (+5.93)#100 17.0% (+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%.