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
1.598593.056.0(-53.0)#153.0(-50.0)#59
2.595204.056.0(-52.0)#253.0(-49.0)#131
3.597545.056.0(-51.0)#353.0(-48.0)#196
4.590577.056.0(-49.0)#453.0(-46.0)#345
5.594858.056.0(-48.0)#553.0(-45.0)#445
6.592189.056.0(-47.0)#653.0(-44.0)#550
7.594309.056.0(-47.0)#753.0(-44.0)#575
8.594509.056.0(-47.0)#853.0(-44.0)#578
9.5903010.056.0(-46.0)#953.0(-43.0)#672
10.5908910.056.0(-46.0)#1053.0(-43.0)#691
11.5993512.056.0(-44.0)#1153.0(-41.0)#901
12.5985813.056.0(-43.0)#1253.0(-40.0)#1,078
13.5944813.056.0(-43.0)#1353.0(-40.0)#1,111
14.5941714.056.0(-42.0)#1453.0(-39.0)#1,163
15.5903814.056.0(-42.0)#1553.0(-39.0)#1,268
16.5945114.056.0(-42.0)#1653.0(-39.0)#1,281
17.5991118.056.0(-38.0)#1753.0(-35.0)#1,863
18.5984418.056.0(-38.0)#1853.0(-35.0)#1,978
19.5904618.056.0(-38.0)#1953.0(-35.0)#1,993
20.5945219.056.0(-37.0)#2053.0(-34.0)#2,184
21.5963420.056.0(-36.0)#2153.0(-33.0)#2,282
22.5972521.056.0(-35.0)#2253.0(-32.0)#2,504
23.5901421.056.0(-35.0)#2353.0(-32.0)#2,601
24.5982322.056.0(-34.0)#2453.0(-31.0)#2,812
25.5903622.056.0(-34.0)#2553.0(-31.0)#2,823
26.5925922.056.0(-34.0)#2653.0(-31.0)#2,894
27.5944224.056.0(-32.0)#2753.0(-29.0)#3,331
28.5992524.056.0(-32.0)#2853.0(-29.0)#3,337
29.5952425.056.0(-31.0)#2953.0(-28.0)#3,645
30.5972825.056.0(-31.0)#3053.0(-28.0)#3,666
31.5901525.056.0(-31.0)#3153.0(-28.0)#3,667
32.5971526.056.0(-30.0)#3253.0(-27.0)#3,677
33.5975026.056.0(-30.0)#3353.0(-27.0)#3,911
34.5948926.056.0(-30.0)#3453.0(-27.0)#3,916
35.5970127.056.0(-29.0)#3553.0(-26.0)#3,943
36.5972227.056.0(-29.0)#3653.0(-26.0)#4,047
37.5953827.056.0(-29.0)#3753.0(-26.0)#4,089
38.5925527.056.0(-29.0)#3853.0(-26.0)#4,090
39.5901129.056.0(-27.0)#3953.0(-24.0)#4,622
40.5964530.056.0(-26.0)#4053.0(-23.0)#4,953
41.5922530.056.0(-26.0)#4153.0(-23.0)#4,995
42.5980131.056.0(-25.0)#4253.0(-22.0)#5,052
43.5947132.056.0(-24.0)#4353.0(-21.0)#5,585
44.5980233.056.0(-23.0)#4453.0(-20.0)#5,699
45.5991733.056.0(-23.0)#4553.0(-20.0)#5,813
46.5907033.056.0(-23.0)#4653.0(-20.0)#5,870
47.5980834.056.0(-22.0)#4753.0(-19.0)#5,995
48.5940136.056.0(-20.0)#4853.0(-17.0)#6,692
49.5986036.056.0(-20.0)#4953.0(-17.0)#6,708
50.5920136.056.0(-20.0)#5053.0(-17.0)#6,771
51.5948736.056.0(-20.0)#5153.0(-17.0)#6,860
52.5948236.056.0(-20.0)#5253.0(-17.0)#6,878
53.5980438.056.0(-18.0)#5353.0(-15.0)#7,400
54.5906338.056.0(-18.0)#5453.0(-15.0)#7,492
55.5932439.056.0(-17.0)#5553.0(-14.0)#7,908
56.5974140.056.0(-16.0)#5653.0(-13.0)#8,147
57.5932340.056.0(-16.0)#5753.0(-13.0)#8,202
58.5952740.056.0(-16.0)#5853.0(-13.0)#8,236
59.5980341.056.0(-15.0)#5953.0(-12.0)#8,391
60.5903441.056.0(-15.0)#6053.0(-12.0)#8,472
61.5971842.056.0(-14.0)#6153.0(-11.0)#8,638
62.5973342.056.0(-14.0)#6253.0(-11.0)#8,961
63.5990144.056.0(-12.0)#6353.0(-9.00)#9,319
64.5986444.056.0(-12.0)#6453.0(-9.00)#9,564
65.5922144.056.0(-12.0)#6553.0(-9.00)#9,654
66.5963944.056.0(-12.0)#6653.0(-9.00)#9,681
67.5934744.056.0(-12.0)#6753.0(-9.00)#9,711
68.5987245.056.0(-11.0)#6853.0(-8.00)#9,985
69.5942145.056.0(-11.0)#6953.0(-8.00)#9,992
70.5908845.056.0(-11.0)#7053.0(-8.00)#10,020
71.5947945.056.0(-11.0)#7153.0(-8.00)#10,026
72.5905445.056.0(-11.0)#7253.0(-8.00)#10,049
73.5930146.056.0(-10.00)#7353.0(-7.00)#10,266
74.5975247.056.0(-9.00)#7453.0(-6.00)#10,662
75.5901947.056.0(-9.00)#7553.0(-6.00)#10,670
76.5987347.056.0(-9.00)#7653.0(-6.00)#10,699
77.5991248.056.0(-8.00)#7753.0(-5.00)#10,921
78.5984048.056.0(-8.00)#7853.0(-5.00)#10,927
79.5945748.056.0(-8.00)#7953.0(-5.00)#10,970
80.5983448.056.0(-8.00)#8053.0(-5.00)#11,035
81.5931349.056.0(-7.00)#8153.0(-4.00)#11,385
82.5941249.056.0(-7.00)#8253.0(-4.00)#11,411
83.5910650.056.0(-6.00)#8353.0(-3.00)#11,613
84.5907750.056.0(-6.00)#8453.0(-3.00)#11,808
85.5941051.056.0(-5.00)#8553.0(-2.00)#12,148
86.5931752.056.0(-4.00)#8653.0(-1.000)#12,452
87.5960153.056.0(-3.00)#8753.0(=0.000)#12,541
88.5942753.056.0(-3.00)#8853.0(=0.000)#12,707
89.5982153.056.0(-3.00)#8953.0(=0.000)#12,738
90.5992354.056.0(-2.00)#9053.0(+1.000)#12,994
91.5923054.056.0(-2.00)#9153.0(+1.000)#13,033
92.5982054.056.0(-2.00)#9253.0(+1.000)#13,071
93.5950155.056.0(-1.000)#9353.0(+2.00)#13,272
94.5975955.056.0(-1.000)#9453.0(+2.00)#13,343
95.5971457.056.0(+1.000)#9553.0(+4.00)#13,851
96.5971159.056.0(+3.00)#9653.0(+6.00)#14,520
97.5910160.056.0(+4.00)#9753.0(+7.00)#14,688
98.5960260.056.0(+4.00)#9853.0(+7.00)#14,728
99.5924360.056.0(+4.00)#9953.0(+7.00)#14,942
100.5927062.056.0(+6.00)#10053.0(+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.