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

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Highest Poverty | Child 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 Poverty Level Among Children Under the Age of 16 in Montana

20.0%
100.0%
Zip Codes with the Highest Poverty Level Among Children Under the Age of 16 in Montana Map

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

Zip Code Child Poverty vs State vs National
1. 59231 100.0% 15.0% (+85.0)#1 16.9% (+83.1)#63
2. 59053 100.0% 15.0% (+85.0)#2 16.9% (+83.1)#147
3. 59035 100.0% 15.0% (+85.0)#3 16.9% (+83.1)#165
4. 59745 100.0% 15.0% (+85.0)#4 16.9% (+83.1)#181
5. 59830 100.0% 15.0% (+85.0)#5 16.9% (+83.1)#189
6. 59530 100.0% 15.0% (+85.0)#6 16.9% (+83.1)#194
7. 59842 100.0% 15.0% (+85.0)#7 16.9% (+83.1)#200
8. 59012 100.0% 15.0% (+85.0)#8 16.9% (+83.1)#252
9. 59214 100.0% 15.0% (+85.0)#9 16.9% (+83.1)#254
10. 59465 100.0% 15.0% (+85.0)#10 16.9% (+83.1)#266
11. 59933 100.0% 15.0% (+85.0)#11 16.9% (+83.1)#284
12. 59739 79.5% 15.0% (+64.5)#12 16.9% (+62.6)#498
13. 59844 75.4% 15.0% (+60.4)#13 16.9% (+58.5)#581
14. 59855 75.0% 15.0% (+60.0)#14 16.9% (+58.1)#582
15. 59414 74.3% 15.0% (+59.3)#15 16.9% (+57.4)#595
16. 59086 72.5% 15.0% (+57.4)#16 16.9% (+55.5)#639
17. 59479 64.9% 15.0% (+49.9)#17 16.9% (+48.0)#894
18. 59213 62.7% 15.0% (+47.6)#18 16.9% (+45.7)#976
19. 59456 62.5% 15.0% (+47.5)#19 16.9% (+45.6)#985
20. 59927 60.0% 15.0% (+45.0)#20 16.9% (+43.1)#1,088
21. 59410 59.2% 15.0% (+44.1)#21 16.9% (+42.2)#1,135
22. 59043 58.0% 15.0% (+42.9)#22 16.9% (+41.0)#1,207
23. 59856 57.1% 15.0% (+42.1)#23 16.9% (+40.2)#1,259
24. 59430 55.8% 15.0% (+40.8)#24 16.9% (+38.9)#1,343
25. 59007 55.6% 15.0% (+40.5)#25 16.9% (+38.6)#1,372
26. 59022 53.3% 15.0% (+38.3)#26 16.9% (+36.4)#1,536
27. 59531 51.5% 15.0% (+36.4)#27 16.9% (+34.5)#1,696
28. 59448 48.6% 15.0% (+33.5)#28 16.9% (+31.6)#1,970
29. 59059 48.5% 15.0% (+33.5)#29 16.9% (+31.5)#1,981
30. 59066 47.8% 15.0% (+32.8)#30 16.9% (+30.9)#2,056
31. 59917 46.0% 15.0% (+30.9)#31 16.9% (+29.0)#2,280
32. 59222 45.5% 15.0% (+30.4)#32 16.9% (+28.5)#2,349
33. 59332 45.0% 15.0% (+30.0)#33 16.9% (+28.1)#2,405
34. 59444 44.0% 15.0% (+29.0)#34 16.9% (+27.1)#2,543
35. 59935 43.8% 15.0% (+28.7)#35 16.9% (+26.8)#2,570
36. 59261 43.5% 15.0% (+28.4)#36 16.9% (+26.5)#2,623
37. 59487 43.2% 15.0% (+28.2)#37 16.9% (+26.3)#2,672
38. 59002 42.9% 15.0% (+27.8)#38 16.9% (+25.9)#2,732
39. 59339 42.9% 15.0% (+27.8)#39 16.9% (+25.9)#2,734
40. 59831 41.9% 15.0% (+26.9)#40 16.9% (+25.0)#2,854
41. 59471 41.2% 15.0% (+26.1)#41 16.9% (+24.2)#2,953
42. 59255 40.6% 15.0% (+25.6)#42 16.9% (+23.7)#3,050
43. 59910 40.0% 15.0% (+25.0)#43 16.9% (+23.1)#3,156
44. 59743 40.0% 15.0% (+25.0)#44 16.9% (+23.1)#3,167
45. 59006 39.8% 15.0% (+24.7)#45 16.9% (+22.8)#3,211
46. 59417 38.6% 15.0% (+23.6)#46 16.9% (+21.7)#3,408
47. 59225 38.0% 15.0% (+23.0)#47 16.9% (+21.1)#3,538
48. 59440 37.5% 15.0% (+22.5)#48 16.9% (+20.6)#3,637
49. 59074 37.1% 15.0% (+22.1)#49 16.9% (+20.2)#3,720
50. 59521 36.6% 15.0% (+21.6)#50 16.9% (+19.7)#3,825
51. 59422 36.6% 15.0% (+21.6)#51 16.9% (+19.7)#3,826
52. 59526 36.4% 15.0% (+21.4)#52 16.9% (+19.4)#3,877
53. 59201 36.0% 15.0% (+21.0)#53 16.9% (+19.1)#3,964
54. 59418 35.9% 15.0% (+20.9)#54 16.9% (+19.0)#3,986
55. 59258 35.7% 15.0% (+20.7)#55 16.9% (+18.8)#4,031
56. 59036 35.0% 15.0% (+20.0)#56 16.9% (+18.1)#4,197
57. 59018 34.5% 15.0% (+19.5)#57 16.9% (+17.5)#4,331
58. 59864 34.3% 15.0% (+19.3)#58 16.9% (+17.4)#4,384
59. 59016 33.9% 15.0% (+18.9)#59 16.9% (+17.0)#4,493
60. 59050 33.5% 15.0% (+18.5)#60 16.9% (+16.6)#4,581
61. 59401 33.4% 15.0% (+18.4)#61 16.9% (+16.4)#4,626
62. 59324 33.3% 15.0% (+18.3)#62 16.9% (+16.4)#4,649
63. 59088 32.9% 15.0% (+17.8)#63 16.9% (+15.9)#4,766
64. 59353 32.8% 15.0% (+17.8)#64 16.9% (+15.9)#4,769
65. 59472 31.9% 15.0% (+16.9)#65 16.9% (+14.9)#5,034
66. 59443 31.8% 15.0% (+16.7)#66 16.9% (+14.8)#5,075
67. 59635 31.5% 15.0% (+16.5)#67 16.9% (+14.6)#5,139
68. 59322 31.5% 15.0% (+16.5)#68 16.9% (+14.5)#5,158
69. 59527 31.4% 15.0% (+16.3)#69 16.9% (+14.4)#5,200
70. 59922 30.8% 15.0% (+15.8)#70 16.9% (+13.9)#5,353
71. 59425 30.5% 15.0% (+15.5)#71 16.9% (+13.6)#5,423
72. 59486 29.1% 15.0% (+14.1)#72 16.9% (+12.2)#5,872
73. 59860 28.3% 15.0% (+13.2)#73 16.9% (+11.3)#6,198
74. 59219 28.2% 15.0% (+13.2)#74 16.9% (+11.3)#6,219
75. 59427 27.9% 15.0% (+12.9)#75 16.9% (+11.0)#6,321
76. 59711 27.8% 15.0% (+12.8)#76 16.9% (+10.9)#6,368
77. 59462 27.3% 15.0% (+12.2)#77 16.9% (+10.3)#6,581
78. 59853 26.9% 15.0% (+11.9)#78 16.9% (+9.94)#6,745
79. 59923 26.7% 15.0% (+11.7)#79 16.9% (+9.79)#6,822
80. 59710 26.7% 15.0% (+11.6)#80 16.9% (+9.73)#6,856
81. 59003 26.6% 15.0% (+11.6)#81 16.9% (+9.65)#6,890
82. 59067 26.3% 15.0% (+11.3)#82 16.9% (+9.38)#7,016
83. 59451 26.2% 15.0% (+11.2)#83 16.9% (+9.29)#7,047
84. 59457 25.9% 15.0% (+10.8)#84 16.9% (+8.93)#7,198
85. 59915 25.6% 15.0% (+10.6)#85 16.9% (+8.64)#7,322
86. 59914 25.5% 15.0% (+10.5)#86 16.9% (+8.55)#7,366
87. 59865 24.5% 15.0% (+9.52)#87 16.9% (+7.61)#7,796
88. 59639 24.2% 15.0% (+9.17)#88 16.9% (+7.26)#7,954
89. 59522 23.7% 15.0% (+8.69)#89 16.9% (+6.78)#8,173
90. 59925 23.6% 15.0% (+8.54)#90 16.9% (+6.63)#8,239
91. 59089 22.9% 15.0% (+7.91)#91 16.9% (+6.00)#8,511
92. 59446 22.4% 15.0% (+7.36)#92 16.9% (+5.45)#8,795
93. 59821 22.1% 15.0% (+7.12)#93 16.9% (+5.21)#8,939
94. 59845 22.1% 15.0% (+7.08)#94 16.9% (+5.17)#8,961
95. 59645 22.1% 15.0% (+7.06)#95 16.9% (+5.15)#8,976
96. 59872 22.1% 15.0% (+7.03)#96 16.9% (+5.12)#8,989
97. 59501 21.7% 15.0% (+6.68)#97 16.9% (+4.77)#9,139
98. 59015 21.4% 15.0% (+6.40)#98 16.9% (+4.49)#9,292
99. 59524 21.3% 15.0% (+6.28)#99 16.9% (+4.37)#9,368
100. 59101 21.3% 15.0% (+6.23)#100 16.9% (+4.32)#9,398

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Children Under the Age of 16 in Montana?
Top 10 Zip Codes with the Highest Poverty Level Among Children 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 Poverty Level Among Children Under the Age of 16 in Montana?
59231 has the Highest Poverty Level Among Children Under the Age of 16 in Montana with 100.0%.
What is the Poverty Level Among Children Under the Age of 16 in the State of Montana?
Poverty Level Among Children Under the Age of 16 in Montana is 15.0%.
What is the Poverty Level Among Children Under the Age of 16 in the United States?
Poverty Level Among Children Under the Age of 16 in the United States is 16.9%.