Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Maine

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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
Maine
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Maine

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Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Maine Map

Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Maine

Zip Code Births / 1,000 Women vs State vs National
1.044624.052.0(-48.0)#153.0(-49.0)#103
2.044635.052.0(-47.0)#253.0(-48.0)#172
3.043637.052.0(-45.0)#353.0(-46.0)#319
4.046767.052.0(-45.0)#453.0(-46.0)#339
5.049208.052.0(-44.0)#553.0(-45.0)#416
6.047479.052.0(-43.0)#653.0(-44.0)#538
7.0498810.052.0(-42.0)#753.0(-43.0)#650
8.0493711.052.0(-41.0)#853.0(-42.0)#746
9.0443411.052.0(-41.0)#953.0(-42.0)#803
10.0455512.052.0(-40.0)#1053.0(-41.0)#938
11.0442212.052.0(-40.0)#1153.0(-41.0)#947
12.0496314.052.0(-38.0)#1253.0(-39.0)#1,164
13.0401514.052.0(-38.0)#1353.0(-39.0)#1,194
14.0390514.052.0(-38.0)#1453.0(-39.0)#1,218
15.0441414.052.0(-38.0)#1553.0(-39.0)#1,229
16.0410115.052.0(-37.0)#1653.0(-38.0)#1,306
17.0404215.052.0(-37.0)#1753.0(-38.0)#1,357
18.0434415.052.0(-37.0)#1853.0(-38.0)#1,381
19.0422415.052.0(-37.0)#1953.0(-38.0)#1,386
20.0478615.052.0(-37.0)#2053.0(-38.0)#1,420
21.0402716.052.0(-36.0)#2153.0(-37.0)#1,527
22.0491116.052.0(-36.0)#2253.0(-37.0)#1,591
23.0445016.052.0(-36.0)#2353.0(-37.0)#1,607
24.0408417.052.0(-35.0)#2453.0(-36.0)#1,704
25.0491217.052.0(-35.0)#2553.0(-36.0)#1,800
26.0428218.052.0(-34.0)#2653.0(-35.0)#1,886
27.0446018.052.0(-34.0)#2753.0(-35.0)#1,969
28.0434719.052.0(-33.0)#2853.0(-34.0)#2,123
29.0444919.052.0(-33.0)#2953.0(-34.0)#2,163
30.0478119.052.0(-33.0)#3053.0(-34.0)#2,185
31.0406420.052.0(-32.0)#3153.0(-33.0)#2,258
32.0409320.052.0(-32.0)#3253.0(-33.0)#2,259
33.0422020.052.0(-32.0)#3353.0(-33.0)#2,312
34.0447220.052.0(-32.0)#3453.0(-33.0)#2,350
35.0408621.052.0(-31.0)#3553.0(-32.0)#2,494
36.0426821.052.0(-31.0)#3653.0(-32.0)#2,534
37.0442921.052.0(-31.0)#3753.0(-32.0)#2,537
38.0486421.052.0(-31.0)#3853.0(-32.0)#2,539
39.0476021.052.0(-31.0)#3953.0(-32.0)#2,639
40.0467421.052.0(-31.0)#4053.0(-32.0)#2,653
41.0460922.052.0(-30.0)#4153.0(-31.0)#2,762
42.0454722.052.0(-30.0)#4253.0(-31.0)#2,848
43.0447323.052.0(-29.0)#4353.0(-30.0)#2,999
44.0435423.052.0(-29.0)#4453.0(-30.0)#3,096
45.0421623.052.0(-29.0)#4553.0(-30.0)#3,124
46.0425424.052.0(-28.0)#4653.0(-29.0)#3,296
47.0484724.052.0(-28.0)#4753.0(-29.0)#3,334
48.0455624.052.0(-28.0)#4853.0(-29.0)#3,347
49.0407425.052.0(-27.0)#4953.0(-28.0)#3,447
50.0447625.052.0(-27.0)#5053.0(-28.0)#3,634
51.0467125.052.0(-27.0)#5153.0(-28.0)#3,650
52.0447125.052.0(-27.0)#5253.0(-28.0)#3,651
53.0476225.052.0(-27.0)#5353.0(-28.0)#3,658
54.0406226.052.0(-26.0)#5453.0(-27.0)#3,724
55.0445726.052.0(-26.0)#5553.0(-27.0)#3,782
56.0484127.052.0(-25.0)#5653.0(-26.0)#4,037
57.0474027.052.0(-25.0)#5753.0(-26.0)#4,135
58.0443527.052.0(-25.0)#5853.0(-26.0)#4,141
59.0455127.052.0(-25.0)#5953.0(-26.0)#4,158
60.0498928.052.0(-24.0)#6053.0(-25.0)#4,335
61.0497028.052.0(-24.0)#6153.0(-25.0)#4,392
62.0478728.052.0(-24.0)#6253.0(-25.0)#4,427
63.0428528.052.0(-24.0)#6353.0(-25.0)#4,428
64.0405129.052.0(-23.0)#6453.0(-24.0)#4,659
65.0442429.052.0(-23.0)#6553.0(-24.0)#4,675
66.0400530.052.0(-22.0)#6653.0(-23.0)#4,775
67.0409630.052.0(-22.0)#6753.0(-23.0)#4,848
68.0403930.052.0(-22.0)#6853.0(-23.0)#4,854
69.0491030.052.0(-22.0)#6953.0(-23.0)#4,933
70.0456330.052.0(-22.0)#7053.0(-23.0)#4,962
71.0474530.052.0(-22.0)#7153.0(-23.0)#4,985
72.0492131.052.0(-21.0)#7253.0(-22.0)#5,257
73.0448131.052.0(-21.0)#7353.0(-22.0)#5,301
74.0410632.052.0(-20.0)#7453.0(-21.0)#5,369
75.0457832.052.0(-20.0)#7553.0(-21.0)#5,486
76.0449632.052.0(-20.0)#7653.0(-21.0)#5,498
77.0492732.052.0(-20.0)#7753.0(-21.0)#5,503
78.0461132.052.0(-20.0)#7853.0(-21.0)#5,582
79.0409233.052.0(-19.0)#7953.0(-20.0)#5,697
80.0434533.052.0(-19.0)#8053.0(-20.0)#5,744
81.0435133.052.0(-19.0)#8153.0(-20.0)#5,847
82.0469333.052.0(-19.0)#8253.0(-20.0)#5,905
83.0460534.052.0(-18.0)#8353.0(-19.0)#6,037
84.0404334.052.0(-18.0)#8453.0(-19.0)#6,056
85.0466734.052.0(-18.0)#8553.0(-19.0)#6,191
86.0434934.052.0(-18.0)#8653.0(-19.0)#6,192
87.0465534.052.0(-18.0)#8753.0(-19.0)#6,204
88.0449534.052.0(-18.0)#8853.0(-19.0)#6,233
89.0493835.052.0(-17.0)#8953.0(-18.0)#6,391
90.0400235.052.0(-17.0)#9053.0(-18.0)#6,406
91.0390335.052.0(-17.0)#9153.0(-18.0)#6,416
92.0425835.052.0(-17.0)#9253.0(-18.0)#6,468
93.0449335.052.0(-17.0)#9353.0(-18.0)#6,488
94.0428036.052.0(-16.0)#9453.0(-17.0)#6,756
95.0465236.052.0(-16.0)#9553.0(-17.0)#6,859
96.0421037.052.0(-15.0)#9653.0(-16.0)#6,985
97.0407337.052.0(-15.0)#9753.0(-16.0)#7,022
98.0408537.052.0(-15.0)#9853.0(-16.0)#7,124
99.0468037.052.0(-15.0)#9953.0(-16.0)#7,174
100.0401737.052.0(-15.0)#10053.0(-16.0)#7,201

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Maine?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Maine are:
#1
4.0
#2
5.0
#3
7.0
#4
7.0
#5
8.0
#6
9.0
#7
10.0
#8
11.0
#9
11.0
#10
12.0
What zip code has the Fewest Births per 1,000 Women Below Poverty Level in Maine?
04462 has the Fewest Births per 1,000 Women Below Poverty Level in Maine with 4.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of Maine?
Number of Births per 1,000 Women Below Poverty Level in Maine is 52.0.
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.