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

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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
1.598643.050.0(-47.0)#148.0(-45.0)#60
2.590708.050.0(-42.0)#248.0(-40.0)#526
3.597548.050.0(-42.0)#348.0(-40.0)#534
4.594859.050.0(-41.0)#448.0(-39.0)#668
5.5941710.050.0(-40.0)#548.0(-38.0)#737
6.5903010.050.0(-40.0)#648.0(-38.0)#807
7.5906811.050.0(-39.0)#748.0(-37.0)#929
8.5971512.050.0(-38.0)#848.0(-36.0)#997
9.5942712.050.0(-38.0)#948.0(-36.0)#1,083
10.5991113.050.0(-37.0)#1048.0(-35.0)#1,225
11.5948213.050.0(-37.0)#1148.0(-35.0)#1,326
12.5985815.050.0(-35.0)#1248.0(-33.0)#1,686
13.5908915.050.0(-35.0)#1348.0(-33.0)#1,716
14.5905716.050.0(-34.0)#1448.0(-32.0)#1,903
15.5922516.050.0(-34.0)#1548.0(-32.0)#1,916
16.5972517.050.0(-33.0)#1648.0(-31.0)#1,992
17.5931717.050.0(-33.0)#1748.0(-31.0)#2,092
18.5993518.050.0(-32.0)#1848.0(-30.0)#2,240
19.5943019.050.0(-31.0)#1948.0(-29.0)#2,527
20.5943319.050.0(-31.0)#2048.0(-29.0)#2,531
21.5972221.050.0(-29.0)#2148.0(-27.0)#2,947
22.5952122.050.0(-28.0)#2248.0(-26.0)#3,222
23.5982322.050.0(-28.0)#2348.0(-26.0)#3,255
24.5944822.050.0(-28.0)#2448.0(-26.0)#3,296
25.5964423.050.0(-27.0)#2548.0(-25.0)#3,475
26.5903424.050.0(-26.0)#2648.0(-24.0)#3,747
27.5903825.050.0(-25.0)#2748.0(-23.0)#4,128
28.5940126.050.0(-24.0)#2848.0(-22.0)#4,250
29.5963426.050.0(-24.0)#2948.0(-22.0)#4,311
30.5947926.050.0(-24.0)#3048.0(-22.0)#4,422
31.5945126.050.0(-24.0)#3148.0(-22.0)#4,444
32.5975227.050.0(-23.0)#3248.0(-21.0)#4,639
33.5975027.050.0(-23.0)#3348.0(-21.0)#4,728
34.5990128.050.0(-22.0)#3448.0(-20.0)#4,734
35.5970128.050.0(-22.0)#3548.0(-20.0)#4,774
36.5925528.050.0(-22.0)#3648.0(-20.0)#4,951
37.5900328.050.0(-22.0)#3748.0(-20.0)#4,996
38.5945228.050.0(-22.0)#3848.0(-20.0)#5,017
39.5943629.050.0(-21.0)#3948.0(-19.0)#5,245
40.5906929.050.0(-21.0)#4048.0(-19.0)#5,307
41.5980130.050.0(-20.0)#4148.0(-18.0)#5,372
42.5982430.050.0(-20.0)#4248.0(-18.0)#5,569
43.5971431.050.0(-19.0)#4348.0(-17.0)#5,695
44.5992231.050.0(-19.0)#4448.0(-17.0)#5,844
45.5902231.050.0(-19.0)#4548.0(-17.0)#5,850
46.5992531.050.0(-19.0)#4648.0(-17.0)#5,859
47.5946831.050.0(-19.0)#4748.0(-17.0)#5,888
48.5925931.050.0(-19.0)#4848.0(-17.0)#5,896
49.5904732.050.0(-18.0)#4948.0(-16.0)#6,039
50.5983132.050.0(-18.0)#5048.0(-16.0)#6,223
51.5904632.050.0(-18.0)#5148.0(-16.0)#6,226
52.5983333.050.0(-17.0)#5248.0(-15.0)#6,439
53.5964533.050.0(-17.0)#5348.0(-15.0)#6,506
54.5972833.050.0(-17.0)#5448.0(-15.0)#6,554
55.5980834.050.0(-16.0)#5548.0(-14.0)#6,660
56.5980234.050.0(-16.0)#5648.0(-14.0)#6,682
57.5901134.050.0(-16.0)#5748.0(-14.0)#6,787
58.5901434.050.0(-16.0)#5848.0(-14.0)#6,823
59.5901534.050.0(-16.0)#5948.0(-14.0)#6,865
60.5948737.050.0(-13.0)#6048.0(-11.0)#7,773
61.5923038.050.0(-12.0)#6148.0(-10.00)#8,034
62.5953838.050.0(-12.0)#6248.0(-10.00)#8,055
63.5984538.050.0(-12.0)#6348.0(-10.00)#8,102
64.5930139.050.0(-11.0)#6448.0(-9.00)#8,337
65.5974142.050.0(-8.00)#6548.0(-6.00)#9,368
66.5944642.050.0(-8.00)#6648.0(-6.00)#9,477
67.5960143.050.0(-7.00)#6748.0(-5.00)#9,567
68.5942143.050.0(-7.00)#6848.0(-5.00)#9,765
69.5932443.050.0(-7.00)#6948.0(-5.00)#9,801
70.5906643.050.0(-7.00)#7048.0(-5.00)#9,802
71.5947143.050.0(-7.00)#7148.0(-5.00)#9,811
72.5971144.050.0(-6.00)#7248.0(-4.00)#10,001
73.5986045.050.0(-5.00)#7348.0(-3.00)#10,297
74.5971846.050.0(-4.00)#7448.0(-2.00)#10,502
75.5987246.050.0(-4.00)#7548.0(-2.00)#10,704
76.5980448.050.0(-2.00)#7648.0(=0.000)#11,240
77.5906348.050.0(-2.00)#7748.0(=0.000)#11,300
78.5950149.050.0(-1.000)#7848.0(+1.000)#11,534
79.5920149.050.0(-1.000)#7948.0(+1.000)#11,571
80.5921549.050.0(-1.000)#8048.0(+1.000)#11,638
81.5934749.050.0(-1.000)#8148.0(+1.000)#11,646
82.5910650.050.0(=0.000)#8248.0(+2.00)#11,772
83.5980351.050.0(+1.000)#8348.0(+3.00)#12,085
84.5941053.050.0(+3.00)#8448.0(+5.00)#12,791
85.5910156.050.0(+6.00)#8548.0(+8.00)#13,403
86.5991256.050.0(+6.00)#8648.0(+8.00)#13,489
87.5960257.050.0(+7.00)#8748.0(+9.00)#13,713
88.5983457.050.0(+7.00)#8848.0(+9.00)#13,842
89.5922157.050.0(+7.00)#8948.0(+9.00)#13,844
90.5972157.050.0(+7.00)#9048.0(+9.00)#13,871
91.5992358.050.0(+8.00)#9148.0(+10.00)#14,016
92.5901958.050.0(+8.00)#9248.0(+10.00)#14,051
93.5934458.050.0(+8.00)#9348.0(+10.00)#14,111
94.5924159.050.0(+9.00)#9448.0(+11.0)#14,356
95.5910260.050.0(+10.00)#9548.0(+12.0)#14,381
96.5905460.050.0(+10.00)#9648.0(+12.0)#14,563
97.5908861.050.0(+11.0)#9748.0(+13.0)#14,751
98.5982163.050.0(+13.0)#9848.0(+15.0)#15,169
99.5982064.050.0(+14.0)#9948.0(+16.0)#15,412
100.5984065.050.0(+15.0)#10048.0(+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.