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

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Lowest 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 Fewest Births per 1,000 Women Below Poverty Level in Montana

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

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

Zip Code Births / 1,000 Women vs State vs National
1. 59859 3.0 56.0 (-53.0)#1 53.0 (-50.0)#59
2. 59520 4.0 56.0 (-52.0)#2 53.0 (-49.0)#131
3. 59754 5.0 56.0 (-51.0)#3 53.0 (-48.0)#196
4. 59057 7.0 56.0 (-49.0)#4 53.0 (-46.0)#345
5. 59485 8.0 56.0 (-48.0)#5 53.0 (-45.0)#445
6. 59218 9.0 56.0 (-47.0)#6 53.0 (-44.0)#550
7. 59430 9.0 56.0 (-47.0)#7 53.0 (-44.0)#575
8. 59450 9.0 56.0 (-47.0)#8 53.0 (-44.0)#578
9. 59030 10.0 56.0 (-46.0)#9 53.0 (-43.0)#672
10. 59089 10.0 56.0 (-46.0)#10 53.0 (-43.0)#691
11. 59935 12.0 56.0 (-44.0)#11 53.0 (-41.0)#901
12. 59858 13.0 56.0 (-43.0)#12 53.0 (-40.0)#1,078
13. 59448 13.0 56.0 (-43.0)#13 53.0 (-40.0)#1,111
14. 59417 14.0 56.0 (-42.0)#14 53.0 (-39.0)#1,163
15. 59038 14.0 56.0 (-42.0)#15 53.0 (-39.0)#1,268
16. 59451 14.0 56.0 (-42.0)#16 53.0 (-39.0)#1,281
17. 59911 18.0 56.0 (-38.0)#17 53.0 (-35.0)#1,863
18. 59844 18.0 56.0 (-38.0)#18 53.0 (-35.0)#1,978
19. 59046 18.0 56.0 (-38.0)#19 53.0 (-35.0)#1,993
20. 59452 19.0 56.0 (-37.0)#20 53.0 (-34.0)#2,184
21. 59634 20.0 56.0 (-36.0)#21 53.0 (-33.0)#2,282
22. 59725 21.0 56.0 (-35.0)#22 53.0 (-32.0)#2,504
23. 59014 21.0 56.0 (-35.0)#23 53.0 (-32.0)#2,601
24. 59823 22.0 56.0 (-34.0)#24 53.0 (-31.0)#2,812
25. 59036 22.0 56.0 (-34.0)#25 53.0 (-31.0)#2,823
26. 59259 22.0 56.0 (-34.0)#26 53.0 (-31.0)#2,894
27. 59442 24.0 56.0 (-32.0)#27 53.0 (-29.0)#3,331
28. 59925 24.0 56.0 (-32.0)#28 53.0 (-29.0)#3,337
29. 59524 25.0 56.0 (-31.0)#29 53.0 (-28.0)#3,645
30. 59728 25.0 56.0 (-31.0)#30 53.0 (-28.0)#3,666
31. 59015 25.0 56.0 (-31.0)#31 53.0 (-28.0)#3,667
32. 59715 26.0 56.0 (-30.0)#32 53.0 (-27.0)#3,677
33. 59750 26.0 56.0 (-30.0)#33 53.0 (-27.0)#3,911
34. 59489 26.0 56.0 (-30.0)#34 53.0 (-27.0)#3,916
35. 59701 27.0 56.0 (-29.0)#35 53.0 (-26.0)#3,943
36. 59722 27.0 56.0 (-29.0)#36 53.0 (-26.0)#4,047
37. 59538 27.0 56.0 (-29.0)#37 53.0 (-26.0)#4,089
38. 59255 27.0 56.0 (-29.0)#38 53.0 (-26.0)#4,090
39. 59011 29.0 56.0 (-27.0)#39 53.0 (-24.0)#4,622
40. 59645 30.0 56.0 (-26.0)#40 53.0 (-23.0)#4,953
41. 59225 30.0 56.0 (-26.0)#41 53.0 (-23.0)#4,995
42. 59801 31.0 56.0 (-25.0)#42 53.0 (-22.0)#5,052
43. 59471 32.0 56.0 (-24.0)#43 53.0 (-21.0)#5,585
44. 59802 33.0 56.0 (-23.0)#44 53.0 (-20.0)#5,699
45. 59917 33.0 56.0 (-23.0)#45 53.0 (-20.0)#5,813
46. 59070 33.0 56.0 (-23.0)#46 53.0 (-20.0)#5,870
47. 59808 34.0 56.0 (-22.0)#47 53.0 (-19.0)#5,995
48. 59401 36.0 56.0 (-20.0)#48 53.0 (-17.0)#6,692
49. 59860 36.0 56.0 (-20.0)#49 53.0 (-17.0)#6,708
50. 59201 36.0 56.0 (-20.0)#50 53.0 (-17.0)#6,771
51. 59487 36.0 56.0 (-20.0)#51 53.0 (-17.0)#6,860
52. 59482 36.0 56.0 (-20.0)#52 53.0 (-17.0)#6,878
53. 59804 38.0 56.0 (-18.0)#53 53.0 (-15.0)#7,400
54. 59063 38.0 56.0 (-18.0)#54 53.0 (-15.0)#7,492
55. 59324 39.0 56.0 (-17.0)#55 53.0 (-14.0)#7,908
56. 59741 40.0 56.0 (-16.0)#56 53.0 (-13.0)#8,147
57. 59323 40.0 56.0 (-16.0)#57 53.0 (-13.0)#8,202
58. 59527 40.0 56.0 (-16.0)#58 53.0 (-13.0)#8,236
59. 59803 41.0 56.0 (-15.0)#59 53.0 (-12.0)#8,391
60. 59034 41.0 56.0 (-15.0)#60 53.0 (-12.0)#8,472
61. 59718 42.0 56.0 (-14.0)#61 53.0 (-11.0)#8,638
62. 59733 42.0 56.0 (-14.0)#62 53.0 (-11.0)#8,961
63. 59901 44.0 56.0 (-12.0)#63 53.0 (-9.00)#9,319
64. 59864 44.0 56.0 (-12.0)#64 53.0 (-9.00)#9,564
65. 59221 44.0 56.0 (-12.0)#65 53.0 (-9.00)#9,654
66. 59639 44.0 56.0 (-12.0)#66 53.0 (-9.00)#9,681
67. 59347 44.0 56.0 (-12.0)#67 53.0 (-9.00)#9,711
68. 59872 45.0 56.0 (-11.0)#68 53.0 (-8.00)#9,985
69. 59421 45.0 56.0 (-11.0)#69 53.0 (-8.00)#9,992
70. 59088 45.0 56.0 (-11.0)#70 53.0 (-8.00)#10,020
71. 59479 45.0 56.0 (-11.0)#71 53.0 (-8.00)#10,026
72. 59054 45.0 56.0 (-11.0)#72 53.0 (-8.00)#10,049
73. 59301 46.0 56.0 (-10.00)#73 53.0 (-7.00)#10,266
74. 59752 47.0 56.0 (-9.00)#74 53.0 (-6.00)#10,662
75. 59019 47.0 56.0 (-9.00)#75 53.0 (-6.00)#10,670
76. 59873 47.0 56.0 (-9.00)#76 53.0 (-6.00)#10,699
77. 59912 48.0 56.0 (-8.00)#77 53.0 (-5.00)#10,921
78. 59840 48.0 56.0 (-8.00)#78 53.0 (-5.00)#10,927
79. 59457 48.0 56.0 (-8.00)#79 53.0 (-5.00)#10,970
80. 59834 48.0 56.0 (-8.00)#80 53.0 (-5.00)#11,035
81. 59313 49.0 56.0 (-7.00)#81 53.0 (-4.00)#11,385
82. 59412 49.0 56.0 (-7.00)#82 53.0 (-4.00)#11,411
83. 59106 50.0 56.0 (-6.00)#83 53.0 (-3.00)#11,613
84. 59077 50.0 56.0 (-6.00)#84 53.0 (-3.00)#11,808
85. 59410 51.0 56.0 (-5.00)#85 53.0 (-2.00)#12,148
86. 59317 52.0 56.0 (-4.00)#86 53.0 (-1.000)#12,452
87. 59601 53.0 56.0 (-3.00)#87 53.0 (=0.000)#12,541
88. 59427 53.0 56.0 (-3.00)#88 53.0 (=0.000)#12,707
89. 59821 53.0 56.0 (-3.00)#89 53.0 (=0.000)#12,738
90. 59923 54.0 56.0 (-2.00)#90 53.0 (+1.000)#12,994
91. 59230 54.0 56.0 (-2.00)#91 53.0 (+1.000)#13,033
92. 59820 54.0 56.0 (-2.00)#92 53.0 (+1.000)#13,071
93. 59501 55.0 56.0 (-1.000)#93 53.0 (+2.00)#13,272
94. 59759 55.0 56.0 (-1.000)#94 53.0 (+2.00)#13,343
95. 59714 57.0 56.0 (+1.000)#95 53.0 (+4.00)#13,851
96. 59711 59.0 56.0 (+3.00)#96 53.0 (+6.00)#14,520
97. 59101 60.0 56.0 (+4.00)#97 53.0 (+7.00)#14,688
98. 59602 60.0 56.0 (+4.00)#98 53.0 (+7.00)#14,728
99. 59243 60.0 56.0 (+4.00)#99 53.0 (+7.00)#14,942
100. 59270 62.0 56.0 (+6.00)#100 53.0 (+9.00)#15,399

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Montana?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Montana are:
#1
3.0
#2
4.0
#3
5.0
#4
7.0
#5
8.0
#6
9.0
#7
9.0
#8
9.0
#9
10.0
#10
10.0
What zip code has the Fewest Births per 1,000 Women Below Poverty Level in Montana?
59859 has the Fewest Births per 1,000 Women Below Poverty Level in Montana with 3.0.
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.