Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Montana

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Lowest Birth Rate | In Labor Force
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 Births per 1,000 Women in Labor Force in Montana

80.0
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Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Montana Map

Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Montana

Zip Code Births / 1,000 Women vs State vs National
1. 59864 3.0 50.0 (-47.0)#1 48.0 (-45.0)#60
2. 59070 8.0 50.0 (-42.0)#2 48.0 (-40.0)#526
3. 59754 8.0 50.0 (-42.0)#3 48.0 (-40.0)#534
4. 59485 9.0 50.0 (-41.0)#4 48.0 (-39.0)#668
5. 59417 10.0 50.0 (-40.0)#5 48.0 (-38.0)#737
6. 59030 10.0 50.0 (-40.0)#6 48.0 (-38.0)#807
7. 59068 11.0 50.0 (-39.0)#7 48.0 (-37.0)#929
8. 59715 12.0 50.0 (-38.0)#8 48.0 (-36.0)#997
9. 59427 12.0 50.0 (-38.0)#9 48.0 (-36.0)#1,083
10. 59911 13.0 50.0 (-37.0)#10 48.0 (-35.0)#1,225
11. 59482 13.0 50.0 (-37.0)#11 48.0 (-35.0)#1,326
12. 59858 15.0 50.0 (-35.0)#12 48.0 (-33.0)#1,686
13. 59089 15.0 50.0 (-35.0)#13 48.0 (-33.0)#1,716
14. 59057 16.0 50.0 (-34.0)#14 48.0 (-32.0)#1,903
15. 59225 16.0 50.0 (-34.0)#15 48.0 (-32.0)#1,916
16. 59725 17.0 50.0 (-33.0)#16 48.0 (-31.0)#1,992
17. 59317 17.0 50.0 (-33.0)#17 48.0 (-31.0)#2,092
18. 59935 18.0 50.0 (-32.0)#18 48.0 (-30.0)#2,240
19. 59430 19.0 50.0 (-31.0)#19 48.0 (-29.0)#2,527
20. 59433 19.0 50.0 (-31.0)#20 48.0 (-29.0)#2,531
21. 59722 21.0 50.0 (-29.0)#21 48.0 (-27.0)#2,947
22. 59521 22.0 50.0 (-28.0)#22 48.0 (-26.0)#3,222
23. 59823 22.0 50.0 (-28.0)#23 48.0 (-26.0)#3,255
24. 59448 22.0 50.0 (-28.0)#24 48.0 (-26.0)#3,296
25. 59644 23.0 50.0 (-27.0)#25 48.0 (-25.0)#3,475
26. 59034 24.0 50.0 (-26.0)#26 48.0 (-24.0)#3,747
27. 59038 25.0 50.0 (-25.0)#27 48.0 (-23.0)#4,128
28. 59401 26.0 50.0 (-24.0)#28 48.0 (-22.0)#4,250
29. 59634 26.0 50.0 (-24.0)#29 48.0 (-22.0)#4,311
30. 59479 26.0 50.0 (-24.0)#30 48.0 (-22.0)#4,422
31. 59451 26.0 50.0 (-24.0)#31 48.0 (-22.0)#4,444
32. 59752 27.0 50.0 (-23.0)#32 48.0 (-21.0)#4,639
33. 59750 27.0 50.0 (-23.0)#33 48.0 (-21.0)#4,728
34. 59901 28.0 50.0 (-22.0)#34 48.0 (-20.0)#4,734
35. 59701 28.0 50.0 (-22.0)#35 48.0 (-20.0)#4,774
36. 59255 28.0 50.0 (-22.0)#36 48.0 (-20.0)#4,951
37. 59003 28.0 50.0 (-22.0)#37 48.0 (-20.0)#4,996
38. 59452 28.0 50.0 (-22.0)#38 48.0 (-20.0)#5,017
39. 59436 29.0 50.0 (-21.0)#39 48.0 (-19.0)#5,245
40. 59069 29.0 50.0 (-21.0)#40 48.0 (-19.0)#5,307
41. 59801 30.0 50.0 (-20.0)#41 48.0 (-18.0)#5,372
42. 59824 30.0 50.0 (-20.0)#42 48.0 (-18.0)#5,569
43. 59714 31.0 50.0 (-19.0)#43 48.0 (-17.0)#5,695
44. 59922 31.0 50.0 (-19.0)#44 48.0 (-17.0)#5,844
45. 59022 31.0 50.0 (-19.0)#45 48.0 (-17.0)#5,850
46. 59925 31.0 50.0 (-19.0)#46 48.0 (-17.0)#5,859
47. 59468 31.0 50.0 (-19.0)#47 48.0 (-17.0)#5,888
48. 59259 31.0 50.0 (-19.0)#48 48.0 (-17.0)#5,896
49. 59047 32.0 50.0 (-18.0)#49 48.0 (-16.0)#6,039
50. 59831 32.0 50.0 (-18.0)#50 48.0 (-16.0)#6,223
51. 59046 32.0 50.0 (-18.0)#51 48.0 (-16.0)#6,226
52. 59833 33.0 50.0 (-17.0)#52 48.0 (-15.0)#6,439
53. 59645 33.0 50.0 (-17.0)#53 48.0 (-15.0)#6,506
54. 59728 33.0 50.0 (-17.0)#54 48.0 (-15.0)#6,554
55. 59808 34.0 50.0 (-16.0)#55 48.0 (-14.0)#6,660
56. 59802 34.0 50.0 (-16.0)#56 48.0 (-14.0)#6,682
57. 59011 34.0 50.0 (-16.0)#57 48.0 (-14.0)#6,787
58. 59014 34.0 50.0 (-16.0)#58 48.0 (-14.0)#6,823
59. 59015 34.0 50.0 (-16.0)#59 48.0 (-14.0)#6,865
60. 59487 37.0 50.0 (-13.0)#60 48.0 (-11.0)#7,773
61. 59230 38.0 50.0 (-12.0)#61 48.0 (-10.00)#8,034
62. 59538 38.0 50.0 (-12.0)#62 48.0 (-10.00)#8,055
63. 59845 38.0 50.0 (-12.0)#63 48.0 (-10.00)#8,102
64. 59301 39.0 50.0 (-11.0)#64 48.0 (-9.00)#8,337
65. 59741 42.0 50.0 (-8.00)#65 48.0 (-6.00)#9,368
66. 59446 42.0 50.0 (-8.00)#66 48.0 (-6.00)#9,477
67. 59601 43.0 50.0 (-7.00)#67 48.0 (-5.00)#9,567
68. 59421 43.0 50.0 (-7.00)#68 48.0 (-5.00)#9,765
69. 59324 43.0 50.0 (-7.00)#69 48.0 (-5.00)#9,801
70. 59066 43.0 50.0 (-7.00)#70 48.0 (-5.00)#9,802
71. 59471 43.0 50.0 (-7.00)#71 48.0 (-5.00)#9,811
72. 59711 44.0 50.0 (-6.00)#72 48.0 (-4.00)#10,001
73. 59860 45.0 50.0 (-5.00)#73 48.0 (-3.00)#10,297
74. 59718 46.0 50.0 (-4.00)#74 48.0 (-2.00)#10,502
75. 59872 46.0 50.0 (-4.00)#75 48.0 (-2.00)#10,704
76. 59804 48.0 50.0 (-2.00)#76 48.0 (=0.000)#11,240
77. 59063 48.0 50.0 (-2.00)#77 48.0 (=0.000)#11,300
78. 59501 49.0 50.0 (-1.000)#78 48.0 (+1.000)#11,534
79. 59201 49.0 50.0 (-1.000)#79 48.0 (+1.000)#11,571
80. 59215 49.0 50.0 (-1.000)#80 48.0 (+1.000)#11,638
81. 59347 49.0 50.0 (-1.000)#81 48.0 (+1.000)#11,646
82. 59106 50.0 50.0 (=0.000)#82 48.0 (+2.00)#11,772
83. 59803 51.0 50.0 (+1.000)#83 48.0 (+3.00)#12,085
84. 59410 53.0 50.0 (+3.00)#84 48.0 (+5.00)#12,791
85. 59101 56.0 50.0 (+6.00)#85 48.0 (+8.00)#13,403
86. 59912 56.0 50.0 (+6.00)#86 48.0 (+8.00)#13,489
87. 59602 57.0 50.0 (+7.00)#87 48.0 (+9.00)#13,713
88. 59834 57.0 50.0 (+7.00)#88 48.0 (+9.00)#13,842
89. 59221 57.0 50.0 (+7.00)#89 48.0 (+9.00)#13,844
90. 59721 57.0 50.0 (+7.00)#90 48.0 (+9.00)#13,871
91. 59923 58.0 50.0 (+8.00)#91 48.0 (+10.00)#14,016
92. 59019 58.0 50.0 (+8.00)#92 48.0 (+10.00)#14,051
93. 59344 58.0 50.0 (+8.00)#93 48.0 (+10.00)#14,111
94. 59241 59.0 50.0 (+9.00)#94 48.0 (+11.0)#14,356
95. 59102 60.0 50.0 (+10.00)#95 48.0 (+12.0)#14,381
96. 59054 60.0 50.0 (+10.00)#96 48.0 (+12.0)#14,563
97. 59088 61.0 50.0 (+11.0)#97 48.0 (+13.0)#14,751
98. 59821 63.0 50.0 (+13.0)#98 48.0 (+15.0)#15,169
99. 59820 64.0 50.0 (+14.0)#99 48.0 (+16.0)#15,412
100. 59840 65.0 50.0 (+15.0)#100 48.0 (+17.0)#15,543

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Montana?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Montana are:
#1
3.0
#2
8.0
#3
8.0
#4
9.0
#5
10.0
#6
10.0
#7
11.0
#8
12.0
#9
12.0
#10
13.0
What zip code has the Lowest Births per 1,000 Women in Labor Force in Montana?
59864 has the Lowest Births per 1,000 Women in Labor Force in Montana with 3.0.
What is the Number Births per 1,000 Women in Labor Force in the State of Montana?
Number Births per 1,000 Women in Labor Force in Montana is 50.0.
What is the Number Births per 1,000 Women in Labor Force in the United States?
Number Births per 1,000 Women in Labor Force in the United States is 48.0.