Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Montana

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Highest 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 Most Births per 1,000 Women Below Poverty Level in Montana

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Montana Map

Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Montana

Zip Code Births / 1,000 Women vs State vs National
1.595301,000.056.0(+944)#153.0(+947)#31
2.59456667.056.0(+611)#253.0(+614)#100
3.59242615.056.0(+559)#353.0(+562)#124
4.59525500.056.0(+444)#453.0(+447)#170
5.59746500.056.0(+444)#553.0(+447)#175
6.59332467.056.0(+411)#653.0(+414)#199
7.59420412.056.0(+356)#753.0(+359)#248
8.59830400.056.0(+344)#853.0(+347)#260
9.59322308.056.0(+252)#953.0(+255)#436
10.59522261.056.0(+205)#1053.0(+208)#601
11.59480250.056.0(+194)#1153.0(+197)#652
12.59419250.056.0(+194)#1253.0(+197)#669
13.59433231.056.0(+175)#1353.0(+178)#765
14.59848231.056.0(+175)#1453.0(+178)#769
15.59547231.056.0(+175)#1553.0(+178)#771
16.59749223.056.0(+167)#1653.0(+170)#817
17.59855222.056.0(+166)#1753.0(+169)#821
18.59012222.056.0(+166)#1853.0(+169)#828
19.59441205.056.0(+149)#1953.0(+152)#931
20.59244200.056.0(+144)#2053.0(+147)#991
21.59446196.056.0(+140)#2153.0(+143)#1,031
22.59035190.056.0(+134)#2253.0(+137)#1,105
23.59008188.056.0(+132)#2353.0(+135)#1,121
24.59638176.056.0(+120)#2453.0(+123)#1,270
25.59748172.056.0(+116)#2553.0(+119)#1,341
26.59443167.056.0(+111)#2653.0(+114)#1,433
27.59405162.056.0(+106)#2753.0(+109)#1,508
28.59847162.056.0(+106)#2853.0(+109)#1,512
29.59032161.056.0(+105)#2953.0(+108)#1,543
30.59016160.056.0(+104)#3053.0(+107)#1,558
31.59643155.056.0(+99.0)#3153.0(+102)#1,653
32.59846154.056.0(+98.0)#3253.0(+101)#1,662
33.59739150.056.0(+94.0)#3353.0(+97.0)#1,760
34.59353145.056.0(+89.0)#3453.0(+92.0)#1,865
35.59914143.056.0(+87.0)#3553.0(+90.0)#1,928
36.59037142.056.0(+86.0)#3653.0(+89.0)#1,951
37.59069139.056.0(+83.0)#3753.0(+86.0)#2,042
38.59041135.056.0(+79.0)#3853.0(+82.0)#2,152
39.59217129.056.0(+73.0)#3953.0(+76.0)#2,384
40.59826125.056.0(+69.0)#4053.0(+72.0)#2,531
41.59736125.056.0(+69.0)#4153.0(+72.0)#2,549
42.59215122.056.0(+66.0)#4253.0(+69.0)#2,675
43.59001120.056.0(+64.0)#4353.0(+67.0)#2,749
44.59540120.056.0(+64.0)#4453.0(+67.0)#2,757
45.59087120.056.0(+64.0)#4553.0(+67.0)#2,763
46.59931118.056.0(+62.0)#4653.0(+65.0)#2,859
47.59853117.056.0(+61.0)#4753.0(+64.0)#2,902
48.59870116.056.0(+60.0)#4853.0(+63.0)#2,915
49.59635114.056.0(+58.0)#4953.0(+61.0)#3,028
50.59464114.056.0(+58.0)#5053.0(+61.0)#3,056
51.59274111.056.0(+55.0)#5153.0(+58.0)#3,232
52.59327107.056.0(+51.0)#5253.0(+54.0)#3,460
53.59868106.056.0(+50.0)#5353.0(+53.0)#3,542
54.59447104.056.0(+48.0)#5453.0(+51.0)#3,700
55.59219103.056.0(+47.0)#5553.0(+50.0)#3,788
56.59644102.056.0(+46.0)#5653.0(+49.0)#3,811
57.59404101.056.0(+45.0)#5753.0(+48.0)#3,864
58.59241100.056.0(+44.0)#5853.0(+47.0)#4,002
59.59542100.056.0(+44.0)#5953.0(+47.0)#4,009
60.5904397.056.0(+41.0)#6053.0(+44.0)#4,235
61.5984197.056.0(+41.0)#6153.0(+44.0)#4,262
62.5907296.056.0(+40.0)#6253.0(+43.0)#4,325
63.5943696.056.0(+40.0)#6353.0(+43.0)#4,345
64.5942595.056.0(+39.0)#6453.0(+42.0)#4,420
65.5942295.056.0(+39.0)#6553.0(+42.0)#4,429
66.5921394.056.0(+38.0)#6653.0(+41.0)#4,547
67.5933093.056.0(+37.0)#6753.0(+40.0)#4,585
68.5952191.056.0(+35.0)#6853.0(+38.0)#4,797
69.5935191.056.0(+35.0)#6953.0(+38.0)#4,844
70.5971391.056.0(+35.0)#7053.0(+38.0)#4,845
71.5982489.056.0(+33.0)#7153.0(+36.0)#5,028
72.5946887.056.0(+31.0)#7253.0(+34.0)#5,298
73.5973287.056.0(+31.0)#7353.0(+34.0)#5,303
74.5973086.056.0(+30.0)#7453.0(+33.0)#5,377
75.5906885.056.0(+29.0)#7553.0(+32.0)#5,503
76.5934485.056.0(+29.0)#7653.0(+32.0)#5,542
77.5986583.056.0(+27.0)#7753.0(+30.0)#5,754
78.5946283.056.0(+27.0)#7853.0(+30.0)#5,817
79.5910582.056.0(+26.0)#7953.0(+29.0)#5,828
80.5904482.056.0(+26.0)#8053.0(+29.0)#5,864
81.5972182.056.0(+26.0)#8153.0(+29.0)#5,952
82.5982880.056.0(+24.0)#8253.0(+27.0)#6,210
83.5902879.056.0(+23.0)#8353.0(+26.0)#6,440
84.5963278.056.0(+22.0)#8453.0(+25.0)#6,558
85.5902278.056.0(+22.0)#8553.0(+25.0)#6,566
86.5993777.056.0(+21.0)#8653.0(+24.0)#6,651
87.5925477.056.0(+21.0)#8753.0(+24.0)#6,727
88.5906677.056.0(+21.0)#8853.0(+24.0)#6,756
89.5926177.056.0(+21.0)#8953.0(+24.0)#6,763
90.5987576.056.0(+20.0)#9053.0(+23.0)#6,888
91.5952376.056.0(+20.0)#9153.0(+23.0)#6,919
92.5948675.056.0(+19.0)#9253.0(+22.0)#7,101
93.5992274.056.0(+18.0)#9353.0(+21.0)#7,271
94.5905073.056.0(+17.0)#9453.0(+20.0)#7,510
95.5924872.056.0(+16.0)#9553.0(+19.0)#7,736
96.5947471.056.0(+15.0)#9653.0(+18.0)#7,902
97.5983170.056.0(+14.0)#9753.0(+17.0)#8,155
98.5910267.056.0(+11.0)#9853.0(+14.0)#8,614
99.5926367.056.0(+11.0)#9953.0(+14.0)#8,806
100.5987466.056.0(+10.00)#10053.0(+13.0)#9,075

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Montana?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Montana are:
#1
1,000.0
#2
667.0
#3
615.0
#4
500.0
#5
500.0
#6
467.0
#7
412.0
#8
400.0
#9
308.0
#10
261.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in Montana?
59530 has the Most Births per 1,000 Women Below Poverty Level in Montana with 1,000.0.
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.