Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Montana

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Highest Birth Rate | Below Poverty
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 Most Births per 1,000 Women Below Poverty Level in Montana

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Montana Map

Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Montana

Zip Code Births / 1,000 Women vs State vs National
1. 59530 1,000.0 56.0 (+944)#1 53.0 (+947)#31
2. 59456 667.0 56.0 (+611)#2 53.0 (+614)#100
3. 59242 615.0 56.0 (+559)#3 53.0 (+562)#124
4. 59525 500.0 56.0 (+444)#4 53.0 (+447)#170
5. 59746 500.0 56.0 (+444)#5 53.0 (+447)#175
6. 59332 467.0 56.0 (+411)#6 53.0 (+414)#199
7. 59420 412.0 56.0 (+356)#7 53.0 (+359)#248
8. 59830 400.0 56.0 (+344)#8 53.0 (+347)#260
9. 59322 308.0 56.0 (+252)#9 53.0 (+255)#436
10. 59522 261.0 56.0 (+205)#10 53.0 (+208)#601
11. 59480 250.0 56.0 (+194)#11 53.0 (+197)#652
12. 59419 250.0 56.0 (+194)#12 53.0 (+197)#669
13. 59433 231.0 56.0 (+175)#13 53.0 (+178)#765
14. 59848 231.0 56.0 (+175)#14 53.0 (+178)#769
15. 59547 231.0 56.0 (+175)#15 53.0 (+178)#771
16. 59749 223.0 56.0 (+167)#16 53.0 (+170)#817
17. 59855 222.0 56.0 (+166)#17 53.0 (+169)#821
18. 59012 222.0 56.0 (+166)#18 53.0 (+169)#828
19. 59441 205.0 56.0 (+149)#19 53.0 (+152)#931
20. 59244 200.0 56.0 (+144)#20 53.0 (+147)#991
21. 59446 196.0 56.0 (+140)#21 53.0 (+143)#1,031
22. 59035 190.0 56.0 (+134)#22 53.0 (+137)#1,105
23. 59008 188.0 56.0 (+132)#23 53.0 (+135)#1,121
24. 59638 176.0 56.0 (+120)#24 53.0 (+123)#1,270
25. 59748 172.0 56.0 (+116)#25 53.0 (+119)#1,341
26. 59443 167.0 56.0 (+111)#26 53.0 (+114)#1,433
27. 59405 162.0 56.0 (+106)#27 53.0 (+109)#1,508
28. 59847 162.0 56.0 (+106)#28 53.0 (+109)#1,512
29. 59032 161.0 56.0 (+105)#29 53.0 (+108)#1,543
30. 59016 160.0 56.0 (+104)#30 53.0 (+107)#1,558
31. 59643 155.0 56.0 (+99.0)#31 53.0 (+102)#1,653
32. 59846 154.0 56.0 (+98.0)#32 53.0 (+101)#1,662
33. 59739 150.0 56.0 (+94.0)#33 53.0 (+97.0)#1,760
34. 59353 145.0 56.0 (+89.0)#34 53.0 (+92.0)#1,865
35. 59914 143.0 56.0 (+87.0)#35 53.0 (+90.0)#1,928
36. 59037 142.0 56.0 (+86.0)#36 53.0 (+89.0)#1,951
37. 59069 139.0 56.0 (+83.0)#37 53.0 (+86.0)#2,042
38. 59041 135.0 56.0 (+79.0)#38 53.0 (+82.0)#2,152
39. 59217 129.0 56.0 (+73.0)#39 53.0 (+76.0)#2,384
40. 59826 125.0 56.0 (+69.0)#40 53.0 (+72.0)#2,531
41. 59736 125.0 56.0 (+69.0)#41 53.0 (+72.0)#2,549
42. 59215 122.0 56.0 (+66.0)#42 53.0 (+69.0)#2,675
43. 59001 120.0 56.0 (+64.0)#43 53.0 (+67.0)#2,749
44. 59540 120.0 56.0 (+64.0)#44 53.0 (+67.0)#2,757
45. 59087 120.0 56.0 (+64.0)#45 53.0 (+67.0)#2,763
46. 59931 118.0 56.0 (+62.0)#46 53.0 (+65.0)#2,859
47. 59853 117.0 56.0 (+61.0)#47 53.0 (+64.0)#2,902
48. 59870 116.0 56.0 (+60.0)#48 53.0 (+63.0)#2,915
49. 59635 114.0 56.0 (+58.0)#49 53.0 (+61.0)#3,028
50. 59464 114.0 56.0 (+58.0)#50 53.0 (+61.0)#3,056
51. 59274 111.0 56.0 (+55.0)#51 53.0 (+58.0)#3,232
52. 59327 107.0 56.0 (+51.0)#52 53.0 (+54.0)#3,460
53. 59868 106.0 56.0 (+50.0)#53 53.0 (+53.0)#3,542
54. 59447 104.0 56.0 (+48.0)#54 53.0 (+51.0)#3,700
55. 59219 103.0 56.0 (+47.0)#55 53.0 (+50.0)#3,788
56. 59644 102.0 56.0 (+46.0)#56 53.0 (+49.0)#3,811
57. 59404 101.0 56.0 (+45.0)#57 53.0 (+48.0)#3,864
58. 59241 100.0 56.0 (+44.0)#58 53.0 (+47.0)#4,002
59. 59542 100.0 56.0 (+44.0)#59 53.0 (+47.0)#4,009
60. 59043 97.0 56.0 (+41.0)#60 53.0 (+44.0)#4,235
61. 59841 97.0 56.0 (+41.0)#61 53.0 (+44.0)#4,262
62. 59072 96.0 56.0 (+40.0)#62 53.0 (+43.0)#4,325
63. 59436 96.0 56.0 (+40.0)#63 53.0 (+43.0)#4,345
64. 59425 95.0 56.0 (+39.0)#64 53.0 (+42.0)#4,420
65. 59422 95.0 56.0 (+39.0)#65 53.0 (+42.0)#4,429
66. 59213 94.0 56.0 (+38.0)#66 53.0 (+41.0)#4,547
67. 59330 93.0 56.0 (+37.0)#67 53.0 (+40.0)#4,585
68. 59521 91.0 56.0 (+35.0)#68 53.0 (+38.0)#4,797
69. 59351 91.0 56.0 (+35.0)#69 53.0 (+38.0)#4,844
70. 59713 91.0 56.0 (+35.0)#70 53.0 (+38.0)#4,845
71. 59824 89.0 56.0 (+33.0)#71 53.0 (+36.0)#5,028
72. 59468 87.0 56.0 (+31.0)#72 53.0 (+34.0)#5,298
73. 59732 87.0 56.0 (+31.0)#73 53.0 (+34.0)#5,303
74. 59730 86.0 56.0 (+30.0)#74 53.0 (+33.0)#5,377
75. 59068 85.0 56.0 (+29.0)#75 53.0 (+32.0)#5,503
76. 59344 85.0 56.0 (+29.0)#76 53.0 (+32.0)#5,542
77. 59865 83.0 56.0 (+27.0)#77 53.0 (+30.0)#5,754
78. 59462 83.0 56.0 (+27.0)#78 53.0 (+30.0)#5,817
79. 59105 82.0 56.0 (+26.0)#79 53.0 (+29.0)#5,828
80. 59044 82.0 56.0 (+26.0)#80 53.0 (+29.0)#5,864
81. 59721 82.0 56.0 (+26.0)#81 53.0 (+29.0)#5,952
82. 59828 80.0 56.0 (+24.0)#82 53.0 (+27.0)#6,210
83. 59028 79.0 56.0 (+23.0)#83 53.0 (+26.0)#6,440
84. 59632 78.0 56.0 (+22.0)#84 53.0 (+25.0)#6,558
85. 59022 78.0 56.0 (+22.0)#85 53.0 (+25.0)#6,566
86. 59937 77.0 56.0 (+21.0)#86 53.0 (+24.0)#6,651
87. 59254 77.0 56.0 (+21.0)#87 53.0 (+24.0)#6,727
88. 59066 77.0 56.0 (+21.0)#88 53.0 (+24.0)#6,756
89. 59261 77.0 56.0 (+21.0)#89 53.0 (+24.0)#6,763
90. 59875 76.0 56.0 (+20.0)#90 53.0 (+23.0)#6,888
91. 59523 76.0 56.0 (+20.0)#91 53.0 (+23.0)#6,919
92. 59486 75.0 56.0 (+19.0)#92 53.0 (+22.0)#7,101
93. 59922 74.0 56.0 (+18.0)#93 53.0 (+21.0)#7,271
94. 59050 73.0 56.0 (+17.0)#94 53.0 (+20.0)#7,510
95. 59248 72.0 56.0 (+16.0)#95 53.0 (+19.0)#7,736
96. 59474 71.0 56.0 (+15.0)#96 53.0 (+18.0)#7,902
97. 59831 70.0 56.0 (+14.0)#97 53.0 (+17.0)#8,155
98. 59102 67.0 56.0 (+11.0)#98 53.0 (+14.0)#8,614
99. 59263 67.0 56.0 (+11.0)#99 53.0 (+14.0)#8,806
100. 59874 66.0 56.0 (+10.00)#100 53.0 (+13.0)#9,075

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Montana?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Montana are:
#1
1,000.0
#2
667.0
#3
615.0
#4
500.0
#5
500.0
#6
467.0
#7
412.0
#8
400.0
#9
308.0
#10
261.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in Montana?
59530 has the Most Births per 1,000 Women Below Poverty Level in Montana with 1,000.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of Montana?
Number of Births per 1,000 Women Below Poverty Level in Montana is 56.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the United States?
Number of Births per 1,000 Women Below Poverty Level in the United States is 53.0.