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

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Highest 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 Most Births per 1,000 Women in Labor Force in Montana

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women in Labor Force in Montana Map

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

Zip Code Births / 1,000 Women vs State vs National
1. 59530 1,000.0 50.0 (+950)#1 48.0 (+952)#29
2. 59456 667.0 50.0 (+617)#2 48.0 (+619)#85
3. 59830 645.0 50.0 (+595)#3 48.0 (+597)#102
4. 59855 526.0 50.0 (+476)#4 48.0 (+478)#145
5. 59848 429.0 50.0 (+379)#5 48.0 (+381)#243
6. 59012 400.0 50.0 (+350)#6 48.0 (+352)#263
7. 59332 333.0 50.0 (+283)#7 48.0 (+285)#387
8. 59846 287.0 50.0 (+237)#8 48.0 (+239)#508
9. 59749 277.0 50.0 (+227)#9 48.0 (+229)#545
10. 59713 273.0 50.0 (+223)#10 48.0 (+225)#567
11. 59522 261.0 50.0 (+211)#11 48.0 (+213)#609
12. 59480 250.0 50.0 (+200)#12 48.0 (+202)#658
13. 59547 231.0 50.0 (+181)#13 48.0 (+183)#765
14. 59868 225.0 50.0 (+175)#14 48.0 (+177)#797
15. 59638 222.0 50.0 (+172)#15 48.0 (+174)#816
16. 59643 220.0 50.0 (+170)#16 48.0 (+172)#834
17. 59441 216.0 50.0 (+166)#17 48.0 (+168)#868
18. 59443 206.0 50.0 (+156)#18 48.0 (+158)#943
19. 59244 200.0 50.0 (+150)#19 48.0 (+152)#1,016
20. 59847 187.0 50.0 (+137)#20 48.0 (+139)#1,124
21. 59032 173.0 50.0 (+123)#21 48.0 (+125)#1,292
22. 59748 172.0 50.0 (+122)#22 48.0 (+124)#1,309
23. 59540 170.0 50.0 (+120)#23 48.0 (+122)#1,339
24. 59001 169.0 50.0 (+119)#24 48.0 (+121)#1,350
25. 59327 168.0 50.0 (+118)#25 48.0 (+120)#1,360
26. 59447 159.0 50.0 (+109)#26 48.0 (+111)#1,524
27. 59016 158.0 50.0 (+108)#27 48.0 (+110)#1,537
28. 59853 154.0 50.0 (+104)#28 48.0 (+106)#1,610
29. 59736 154.0 50.0 (+104)#29 48.0 (+106)#1,619
30. 59635 153.0 50.0 (+103)#30 48.0 (+105)#1,620
31. 59826 143.0 50.0 (+93.0)#31 48.0 (+95.0)#1,833
32. 59931 143.0 50.0 (+93.0)#32 48.0 (+95.0)#1,842
33. 59041 142.0 50.0 (+92.0)#33 48.0 (+94.0)#1,870
34. 59274 140.0 50.0 (+90.0)#34 48.0 (+92.0)#1,916
35. 59870 138.0 50.0 (+88.0)#35 48.0 (+90.0)#1,951
36. 59353 130.0 50.0 (+80.0)#36 48.0 (+82.0)#2,187
37. 59087 130.0 50.0 (+80.0)#37 48.0 (+82.0)#2,200
38. 59464 129.0 50.0 (+79.0)#38 48.0 (+81.0)#2,233
39. 59936 127.0 50.0 (+77.0)#39 48.0 (+79.0)#2,298
40. 59632 124.0 50.0 (+74.0)#40 48.0 (+76.0)#2,396
41. 59732 121.0 50.0 (+71.0)#41 48.0 (+73.0)#2,502
42. 59405 115.0 50.0 (+65.0)#42 48.0 (+67.0)#2,707
43. 59486 110.0 50.0 (+60.0)#43 48.0 (+62.0)#2,981
44. 59263 109.0 50.0 (+59.0)#44 48.0 (+61.0)#3,026
45. 59219 103.0 50.0 (+53.0)#45 48.0 (+55.0)#3,367
46. 59248 102.0 50.0 (+52.0)#46 48.0 (+54.0)#3,419
47. 59422 101.0 50.0 (+51.0)#47 48.0 (+53.0)#3,463
48. 59462 100.0 50.0 (+50.0)#48 48.0 (+52.0)#3,545
49. 59828 96.0 50.0 (+46.0)#49 48.0 (+48.0)#3,783
50. 59404 95.0 50.0 (+45.0)#50 48.0 (+47.0)#3,827
51. 59050 94.0 50.0 (+44.0)#51 48.0 (+46.0)#3,937
52. 59330 92.0 50.0 (+42.0)#52 48.0 (+44.0)#4,057
53. 59008 91.0 50.0 (+41.0)#53 48.0 (+43.0)#4,186
54. 59105 89.0 50.0 (+39.0)#54 48.0 (+41.0)#4,293
55. 59072 88.0 50.0 (+38.0)#55 48.0 (+40.0)#4,434
56. 59213 84.0 50.0 (+34.0)#56 48.0 (+36.0)#4,878
57. 59077 83.0 50.0 (+33.0)#57 48.0 (+35.0)#5,009
58. 59542 82.0 50.0 (+32.0)#58 48.0 (+34.0)#5,122
59. 59527 81.0 50.0 (+31.0)#59 48.0 (+33.0)#5,218
60. 59043 80.0 50.0 (+30.0)#60 48.0 (+32.0)#5,312
61. 59937 78.0 50.0 (+28.0)#61 48.0 (+30.0)#5,512
62. 59425 78.0 50.0 (+28.0)#62 48.0 (+30.0)#5,550
63. 59759 78.0 50.0 (+28.0)#63 48.0 (+30.0)#5,551
64. 59243 77.0 50.0 (+27.0)#64 48.0 (+29.0)#5,728
65. 59865 75.0 50.0 (+25.0)#65 48.0 (+27.0)#5,949
66. 59526 74.0 50.0 (+24.0)#66 48.0 (+26.0)#6,108
67. 59044 72.0 50.0 (+22.0)#67 48.0 (+24.0)#6,383
68. 59730 72.0 50.0 (+22.0)#68 48.0 (+24.0)#6,437
69. 59523 72.0 50.0 (+22.0)#69 48.0 (+24.0)#6,444
70. 59254 71.0 50.0 (+21.0)#70 48.0 (+23.0)#6,608
71. 59457 69.0 50.0 (+19.0)#71 48.0 (+21.0)#6,917
72. 59875 69.0 50.0 (+19.0)#72 48.0 (+21.0)#6,944
73. 59313 69.0 50.0 (+19.0)#73 48.0 (+21.0)#6,972
74. 59841 68.0 50.0 (+18.0)#74 48.0 (+20.0)#7,196
75. 59873 66.0 50.0 (+16.0)#75 48.0 (+18.0)#7,548
76. 59840 65.0 50.0 (+15.0)#76 48.0 (+17.0)#7,691
77. 59270 65.0 50.0 (+15.0)#77 48.0 (+17.0)#7,717
78. 59820 64.0 50.0 (+14.0)#78 48.0 (+16.0)#7,970
79. 59821 63.0 50.0 (+13.0)#79 48.0 (+15.0)#8,169
80. 59088 61.0 50.0 (+11.0)#80 48.0 (+13.0)#8,670
81. 59102 60.0 50.0 (+10.00)#81 48.0 (+12.0)#8,709
82. 59054 60.0 50.0 (+10.00)#82 48.0 (+12.0)#8,891
83. 59241 59.0 50.0 (+9.00)#83 48.0 (+11.0)#9,129
84. 59923 58.0 50.0 (+8.00)#84 48.0 (+10.00)#9,275
85. 59019 58.0 50.0 (+8.00)#85 48.0 (+10.00)#9,310
86. 59344 58.0 50.0 (+8.00)#86 48.0 (+10.00)#9,370
87. 59602 57.0 50.0 (+7.00)#87 48.0 (+9.00)#9,448
88. 59834 57.0 50.0 (+7.00)#88 48.0 (+9.00)#9,577
89. 59221 57.0 50.0 (+7.00)#89 48.0 (+9.00)#9,579
90. 59721 57.0 50.0 (+7.00)#90 48.0 (+9.00)#9,606
91. 59101 56.0 50.0 (+6.00)#91 48.0 (+8.00)#9,640
92. 59912 56.0 50.0 (+6.00)#92 48.0 (+8.00)#9,726
93. 59410 53.0 50.0 (+3.00)#93 48.0 (+5.00)#10,718
94. 59803 51.0 50.0 (+1.000)#94 48.0 (+3.00)#11,153
95. 59106 50.0 50.0 (=0.000)#95 48.0 (+2.00)#11,426
96. 59501 49.0 50.0 (-1.000)#96 48.0 (+1.000)#11,781
97. 59201 49.0 50.0 (-1.000)#97 48.0 (+1.000)#11,818
98. 59215 49.0 50.0 (-1.000)#98 48.0 (+1.000)#11,885
99. 59347 49.0 50.0 (-1.000)#99 48.0 (+1.000)#11,893
100. 59804 48.0 50.0 (-2.00)#100 48.0 (=0.000)#12,078

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Montana?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Montana are:
#1
1,000.0
#2
667.0
#3
645.0
#4
526.0
#5
429.0
#6
400.0
#7
333.0
#8
287.0
#9
277.0
#10
273.0
What zip code has the Most Births per 1,000 Women in Labor Force in Montana?
59530 has the Most Births per 1,000 Women in Labor Force in Montana with 1,000.0.
What is the Number of Births per 1,000 Women in Labor Force in the State of Montana?
Number of Births per 1,000 Women in Labor Force in Montana is 50.0.
What is the Number of Births per 1,000 Women in Labor Force in the United States?
Number of Births per 1,000 Women in Labor Force in the United States is 48.0.