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
1.595301,000.050.0(+950)#148.0(+952)#29
2.59456667.050.0(+617)#248.0(+619)#85
3.59830645.050.0(+595)#348.0(+597)#102
4.59855526.050.0(+476)#448.0(+478)#145
5.59848429.050.0(+379)#548.0(+381)#243
6.59012400.050.0(+350)#648.0(+352)#263
7.59332333.050.0(+283)#748.0(+285)#387
8.59846287.050.0(+237)#848.0(+239)#508
9.59749277.050.0(+227)#948.0(+229)#545
10.59713273.050.0(+223)#1048.0(+225)#567
11.59522261.050.0(+211)#1148.0(+213)#609
12.59480250.050.0(+200)#1248.0(+202)#658
13.59547231.050.0(+181)#1348.0(+183)#765
14.59868225.050.0(+175)#1448.0(+177)#797
15.59638222.050.0(+172)#1548.0(+174)#816
16.59643220.050.0(+170)#1648.0(+172)#834
17.59441216.050.0(+166)#1748.0(+168)#868
18.59443206.050.0(+156)#1848.0(+158)#943
19.59244200.050.0(+150)#1948.0(+152)#1,016
20.59847187.050.0(+137)#2048.0(+139)#1,124
21.59032173.050.0(+123)#2148.0(+125)#1,292
22.59748172.050.0(+122)#2248.0(+124)#1,309
23.59540170.050.0(+120)#2348.0(+122)#1,339
24.59001169.050.0(+119)#2448.0(+121)#1,350
25.59327168.050.0(+118)#2548.0(+120)#1,360
26.59447159.050.0(+109)#2648.0(+111)#1,524
27.59016158.050.0(+108)#2748.0(+110)#1,537
28.59853154.050.0(+104)#2848.0(+106)#1,610
29.59736154.050.0(+104)#2948.0(+106)#1,619
30.59635153.050.0(+103)#3048.0(+105)#1,620
31.59826143.050.0(+93.0)#3148.0(+95.0)#1,833
32.59931143.050.0(+93.0)#3248.0(+95.0)#1,842
33.59041142.050.0(+92.0)#3348.0(+94.0)#1,870
34.59274140.050.0(+90.0)#3448.0(+92.0)#1,916
35.59870138.050.0(+88.0)#3548.0(+90.0)#1,951
36.59353130.050.0(+80.0)#3648.0(+82.0)#2,187
37.59087130.050.0(+80.0)#3748.0(+82.0)#2,200
38.59464129.050.0(+79.0)#3848.0(+81.0)#2,233
39.59936127.050.0(+77.0)#3948.0(+79.0)#2,298
40.59632124.050.0(+74.0)#4048.0(+76.0)#2,396
41.59732121.050.0(+71.0)#4148.0(+73.0)#2,502
42.59405115.050.0(+65.0)#4248.0(+67.0)#2,707
43.59486110.050.0(+60.0)#4348.0(+62.0)#2,981
44.59263109.050.0(+59.0)#4448.0(+61.0)#3,026
45.59219103.050.0(+53.0)#4548.0(+55.0)#3,367
46.59248102.050.0(+52.0)#4648.0(+54.0)#3,419
47.59422101.050.0(+51.0)#4748.0(+53.0)#3,463
48.59462100.050.0(+50.0)#4848.0(+52.0)#3,545
49.5982896.050.0(+46.0)#4948.0(+48.0)#3,783
50.5940495.050.0(+45.0)#5048.0(+47.0)#3,827
51.5905094.050.0(+44.0)#5148.0(+46.0)#3,937
52.5933092.050.0(+42.0)#5248.0(+44.0)#4,057
53.5900891.050.0(+41.0)#5348.0(+43.0)#4,186
54.5910589.050.0(+39.0)#5448.0(+41.0)#4,293
55.5907288.050.0(+38.0)#5548.0(+40.0)#4,434
56.5921384.050.0(+34.0)#5648.0(+36.0)#4,878
57.5907783.050.0(+33.0)#5748.0(+35.0)#5,009
58.5954282.050.0(+32.0)#5848.0(+34.0)#5,122
59.5952781.050.0(+31.0)#5948.0(+33.0)#5,218
60.5904380.050.0(+30.0)#6048.0(+32.0)#5,312
61.5993778.050.0(+28.0)#6148.0(+30.0)#5,512
62.5942578.050.0(+28.0)#6248.0(+30.0)#5,550
63.5975978.050.0(+28.0)#6348.0(+30.0)#5,551
64.5924377.050.0(+27.0)#6448.0(+29.0)#5,728
65.5986575.050.0(+25.0)#6548.0(+27.0)#5,949
66.5952674.050.0(+24.0)#6648.0(+26.0)#6,108
67.5904472.050.0(+22.0)#6748.0(+24.0)#6,383
68.5973072.050.0(+22.0)#6848.0(+24.0)#6,437
69.5952372.050.0(+22.0)#6948.0(+24.0)#6,444
70.5925471.050.0(+21.0)#7048.0(+23.0)#6,608
71.5945769.050.0(+19.0)#7148.0(+21.0)#6,917
72.5987569.050.0(+19.0)#7248.0(+21.0)#6,944
73.5931369.050.0(+19.0)#7348.0(+21.0)#6,972
74.5984168.050.0(+18.0)#7448.0(+20.0)#7,196
75.5987366.050.0(+16.0)#7548.0(+18.0)#7,548
76.5984065.050.0(+15.0)#7648.0(+17.0)#7,691
77.5927065.050.0(+15.0)#7748.0(+17.0)#7,717
78.5982064.050.0(+14.0)#7848.0(+16.0)#7,970
79.5982163.050.0(+13.0)#7948.0(+15.0)#8,169
80.5908861.050.0(+11.0)#8048.0(+13.0)#8,670
81.5910260.050.0(+10.00)#8148.0(+12.0)#8,709
82.5905460.050.0(+10.00)#8248.0(+12.0)#8,891
83.5924159.050.0(+9.00)#8348.0(+11.0)#9,129
84.5992358.050.0(+8.00)#8448.0(+10.00)#9,275
85.5901958.050.0(+8.00)#8548.0(+10.00)#9,310
86.5934458.050.0(+8.00)#8648.0(+10.00)#9,370
87.5960257.050.0(+7.00)#8748.0(+9.00)#9,448
88.5983457.050.0(+7.00)#8848.0(+9.00)#9,577
89.5922157.050.0(+7.00)#8948.0(+9.00)#9,579
90.5972157.050.0(+7.00)#9048.0(+9.00)#9,606
91.5910156.050.0(+6.00)#9148.0(+8.00)#9,640
92.5991256.050.0(+6.00)#9248.0(+8.00)#9,726
93.5941053.050.0(+3.00)#9348.0(+5.00)#10,718
94.5980351.050.0(+1.000)#9448.0(+3.00)#11,153
95.5910650.050.0(=0.000)#9548.0(+2.00)#11,426
96.5950149.050.0(-1.000)#9648.0(+1.000)#11,781
97.5920149.050.0(-1.000)#9748.0(+1.000)#11,818
98.5921549.050.0(-1.000)#9848.0(+1.000)#11,885
99.5934749.050.0(-1.000)#9948.0(+1.000)#11,893
100.5980448.050.0(-2.00)#10048.0(=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.