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

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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. 59844 100.0% 14.7% (+85.3)#1 17.0% (+83.0)#67
2. 59231 100.0% 14.7% (+85.3)#2 17.0% (+83.0)#143
3. 59855 100.0% 14.7% (+85.3)#3 17.0% (+83.0)#161
4. 59053 100.0% 14.7% (+85.3)#4 17.0% (+83.0)#267
5. 59035 100.0% 14.7% (+85.3)#5 17.0% (+83.0)#285
6. 59258 100.0% 14.7% (+85.3)#6 17.0% (+83.0)#290
7. 59745 100.0% 14.7% (+85.3)#7 17.0% (+83.0)#308
8. 59530 100.0% 14.7% (+85.3)#8 17.0% (+83.0)#323
9. 59012 100.0% 14.7% (+85.3)#9 17.0% (+83.0)#373
10. 59214 100.0% 14.7% (+85.3)#10 17.0% (+83.0)#375
11. 59933 100.0% 14.7% (+85.3)#11 17.0% (+83.0)#398
12. 59410 75.8% 14.7% (+61.1)#12 17.0% (+58.8)#682
13. 59213 69.5% 14.7% (+54.8)#13 17.0% (+52.5)#861
14. 59086 68.8% 14.7% (+54.1)#14 17.0% (+51.8)#890
15. 59471 68.8% 14.7% (+54.1)#15 17.0% (+51.8)#891
16. 59479 66.7% 14.7% (+52.0)#16 17.0% (+49.7)#953
17. 59261 66.7% 14.7% (+52.0)#17 17.0% (+49.7)#961
18. 59831 61.3% 14.7% (+46.6)#18 17.0% (+44.3)#1,195
19. 59043 60.4% 14.7% (+45.7)#19 17.0% (+43.4)#1,246
20. 59022 60.1% 14.7% (+45.4)#20 17.0% (+43.2)#1,254
21. 59225 56.7% 14.7% (+42.0)#21 17.0% (+39.7)#1,505
22. 59739 55.0% 14.7% (+40.3)#22 17.0% (+38.0)#1,619
23. 59456 54.2% 14.7% (+39.5)#23 17.0% (+37.2)#1,689
24. 59448 51.2% 14.7% (+36.5)#24 17.0% (+34.2)#1,954
25. 59088 50.0% 14.7% (+35.3)#25 17.0% (+33.0)#2,045
26. 59007 50.0% 14.7% (+35.3)#26 17.0% (+33.0)#2,096
27. 59487 48.5% 14.7% (+33.9)#27 17.0% (+31.6)#2,227
28. 59440 48.1% 14.7% (+33.5)#28 17.0% (+31.2)#2,269
29. 59472 47.4% 14.7% (+32.7)#29 17.0% (+30.4)#2,345
30. 59430 47.2% 14.7% (+32.5)#30 17.0% (+30.2)#2,367
31. 59639 45.6% 14.7% (+30.9)#31 17.0% (+28.6)#2,535
32. 59422 45.1% 14.7% (+30.4)#32 17.0% (+28.1)#2,600
33. 59201 44.4% 14.7% (+29.7)#33 17.0% (+27.4)#2,688
34. 59731 43.8% 14.7% (+29.1)#34 17.0% (+26.8)#2,775
35. 59066 43.4% 14.7% (+28.7)#35 17.0% (+26.4)#2,833
36. 59935 42.0% 14.7% (+27.4)#36 17.0% (+25.1)#3,032
37. 59925 41.5% 14.7% (+26.8)#37 17.0% (+24.5)#3,110
38. 59444 41.4% 14.7% (+26.7)#38 17.0% (+24.4)#3,127
39. 59418 40.0% 14.7% (+25.3)#39 17.0% (+23.0)#3,387
40. 59006 39.7% 14.7% (+25.1)#40 17.0% (+22.8)#3,421
41. 59427 39.1% 14.7% (+24.4)#41 17.0% (+22.1)#3,528
42. 59417 38.9% 14.7% (+24.2)#42 17.0% (+21.9)#3,557
43. 59353 38.0% 14.7% (+23.3)#43 17.0% (+21.0)#3,732
44. 59853 37.2% 14.7% (+22.5)#44 17.0% (+20.2)#3,905
45. 59521 37.2% 14.7% (+22.5)#45 17.0% (+20.2)#3,906
46. 59255 35.2% 14.7% (+20.5)#46 17.0% (+18.2)#4,346
47. 59866 35.1% 14.7% (+20.4)#47 17.0% (+18.1)#4,367
48. 59015 35.0% 14.7% (+20.3)#48 17.0% (+18.0)#4,381
49. 59526 34.8% 14.7% (+20.2)#49 17.0% (+17.9)#4,409
50. 59927 33.3% 14.7% (+18.7)#50 17.0% (+16.4)#4,810
51. 59339 33.3% 14.7% (+18.7)#51 17.0% (+16.4)#4,824
52. 59522 31.7% 14.7% (+17.1)#52 17.0% (+14.8)#5,251
53. 59486 31.6% 14.7% (+16.9)#53 17.0% (+14.6)#5,291
54. 59322 31.2% 14.7% (+16.6)#54 17.0% (+14.3)#5,394
55. 59421 30.5% 14.7% (+15.8)#55 17.0% (+13.5)#5,600
56. 59425 30.3% 14.7% (+15.7)#56 17.0% (+13.4)#5,640
57. 59036 30.0% 14.7% (+15.3)#57 17.0% (+13.0)#5,741
58. 59710 29.4% 14.7% (+14.7)#58 17.0% (+12.4)#5,929
59. 59923 29.2% 14.7% (+14.6)#59 17.0% (+12.3)#5,979
60. 59531 28.7% 14.7% (+14.1)#60 17.0% (+11.8)#6,137
61. 59059 28.6% 14.7% (+13.9)#61 17.0% (+11.6)#6,198
62. 59860 28.0% 14.7% (+13.3)#62 17.0% (+11.0)#6,416
63. 59050 27.9% 14.7% (+13.2)#63 17.0% (+10.9)#6,441
64. 59865 27.4% 14.7% (+12.8)#64 17.0% (+10.5)#6,590
65. 59401 27.1% 14.7% (+12.4)#65 17.0% (+10.1)#6,714
66. 59914 25.9% 14.7% (+11.2)#66 17.0% (+8.95)#7,152
67. 59917 25.8% 14.7% (+11.1)#67 17.0% (+8.78)#7,225
68. 59754 25.6% 14.7% (+11.0)#68 17.0% (+8.66)#7,277
69. 59635 25.1% 14.7% (+10.4)#69 17.0% (+8.15)#7,472
70. 59451 25.0% 14.7% (+10.3)#70 17.0% (+8.02)#7,575
71. 59829 24.2% 14.7% (+9.53)#71 17.0% (+7.23)#7,875
72. 59859 24.1% 14.7% (+9.45)#72 17.0% (+7.15)#7,899
73. 59644 23.6% 14.7% (+8.94)#73 17.0% (+6.65)#8,104
74. 59922 23.1% 14.7% (+8.47)#74 17.0% (+6.17)#8,298
75. 59701 22.9% 14.7% (+8.20)#75 17.0% (+5.91)#8,436
76. 59072 22.8% 14.7% (+8.09)#76 17.0% (+5.79)#8,485
77. 59527 22.2% 14.7% (+7.54)#77 17.0% (+5.25)#8,740
78. 59870 22.1% 14.7% (+7.40)#78 17.0% (+5.11)#8,821
79. 59041 21.7% 14.7% (+7.04)#79 17.0% (+4.74)#9,005
80. 59016 21.4% 14.7% (+6.75)#80 17.0% (+4.45)#9,150
81. 59230 21.3% 14.7% (+6.62)#81 17.0% (+4.33)#9,222
82. 59089 21.1% 14.7% (+6.45)#82 17.0% (+4.15)#9,302
83. 59332 21.1% 14.7% (+6.37)#83 17.0% (+4.08)#9,338
84. 59820 21.0% 14.7% (+6.30)#84 17.0% (+4.00)#9,362
85. 59031 20.7% 14.7% (+5.97)#85 17.0% (+3.68)#9,541
86. 59821 20.6% 14.7% (+5.93)#86 17.0% (+3.64)#9,552
87. 59872 20.3% 14.7% (+5.62)#87 17.0% (+3.32)#9,693
88. 59102 20.3% 14.7% (+5.57)#88 17.0% (+3.28)#9,714
89. 59645 20.2% 14.7% (+5.50)#89 17.0% (+3.20)#9,766
90. 59501 20.1% 14.7% (+5.47)#90 17.0% (+3.17)#9,781
91. 59420 20.0% 14.7% (+5.32)#91 17.0% (+3.02)#9,887
92. 59743 20.0% 14.7% (+5.32)#92 17.0% (+3.02)#9,894
93. 59759 19.8% 14.7% (+5.14)#93 17.0% (+2.84)#9,965
94. 59101 19.4% 14.7% (+4.75)#94 17.0% (+2.45)#10,146
95. 59730 19.1% 14.7% (+4.44)#95 17.0% (+2.15)#10,304
96. 59841 18.7% 14.7% (+3.98)#96 17.0% (+1.68)#10,553
97. 59864 18.7% 14.7% (+3.98)#97 17.0% (+1.68)#10,555
98. 59875 18.6% 14.7% (+3.94)#98 17.0% (+1.65)#10,576
99. 59457 18.6% 14.7% (+3.88)#99 17.0% (+1.58)#10,612
100. 59920 18.5% 14.7% (+3.82)#100 17.0% (+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%.