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

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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
Maine
Compare Zip Codes
Comparison Subject

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

0.0
600.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Maine Map

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

Zip Code Births / 1,000 Women vs State vs National
1.04733550.052.0(+498)#153.0(+497)#146
2.04554407.052.0(+355)#253.0(+354)#255
3.04691308.052.0(+256)#353.0(+255)#430
4.04571300.052.0(+248)#453.0(+247)#453
5.04777289.052.0(+237)#553.0(+236)#489
6.04979263.052.0(+211)#653.0(+210)#592
7.04984240.052.0(+188)#753.0(+187)#714
8.04537220.052.0(+168)#853.0(+167)#840
9.04024200.052.0(+148)#953.0(+147)#980
10.04489197.052.0(+145)#1053.0(+144)#1,026
11.04657197.052.0(+145)#1153.0(+144)#1,027
12.04612196.052.0(+144)#1253.0(+143)#1,032
13.04443190.052.0(+138)#1353.0(+137)#1,091
14.04464187.052.0(+135)#1453.0(+134)#1,139
15.04468174.052.0(+122)#1553.0(+121)#1,289
16.04785174.052.0(+122)#1653.0(+121)#1,296
17.04427173.052.0(+121)#1753.0(+120)#1,315
18.04083169.052.0(+117)#1853.0(+116)#1,377
19.04289169.052.0(+117)#1953.0(+116)#1,382
20.04564169.052.0(+117)#2053.0(+116)#1,390
21.04949167.052.0(+115)#2153.0(+114)#1,425
22.04475167.052.0(+115)#2253.0(+114)#1,432
23.04735164.052.0(+112)#2353.0(+111)#1,488
24.04950158.052.0(+106)#2453.0(+105)#1,591
25.04648149.052.0(+97.0)#2553.0(+96.0)#1,778
26.04474148.052.0(+96.0)#2653.0(+95.0)#1,785
27.04955146.052.0(+94.0)#2753.0(+93.0)#1,837
28.04625143.052.0(+91.0)#2853.0(+90.0)#1,939
29.04281141.052.0(+89.0)#2953.0(+88.0)#1,965
30.04050140.052.0(+88.0)#3053.0(+87.0)#2,006
31.04055138.052.0(+86.0)#3153.0(+85.0)#2,051
32.04953138.052.0(+86.0)#3253.0(+85.0)#2,054
33.04947138.052.0(+86.0)#3353.0(+85.0)#2,062
34.04294136.052.0(+84.0)#3453.0(+83.0)#2,117
35.04971136.052.0(+84.0)#3553.0(+83.0)#2,125
36.04406135.052.0(+83.0)#3653.0(+82.0)#2,171
37.04047133.052.0(+81.0)#3753.0(+80.0)#2,232
38.04360130.052.0(+78.0)#3853.0(+77.0)#2,341
39.04364125.052.0(+73.0)#3953.0(+72.0)#2,512
40.04986125.052.0(+73.0)#4053.0(+72.0)#2,527
41.04686125.052.0(+73.0)#4153.0(+72.0)#2,547
42.04061124.052.0(+72.0)#4253.0(+71.0)#2,572
43.04630124.052.0(+72.0)#4353.0(+71.0)#2,583
44.04961124.052.0(+72.0)#4453.0(+71.0)#2,596
45.04958121.052.0(+69.0)#4553.0(+68.0)#2,712
46.04739121.052.0(+69.0)#4653.0(+68.0)#2,722
47.04742120.052.0(+68.0)#4753.0(+67.0)#2,741
48.04490120.052.0(+68.0)#4853.0(+67.0)#2,766
49.04623115.052.0(+63.0)#4953.0(+62.0)#2,996
50.04966114.052.0(+62.0)#5053.0(+61.0)#3,044
51.04441113.052.0(+61.0)#5153.0(+60.0)#3,093
52.04346109.052.0(+57.0)#5253.0(+56.0)#3,332
53.04068109.052.0(+57.0)#5353.0(+56.0)#3,333
54.04750108.052.0(+56.0)#5453.0(+55.0)#3,403
55.04265105.052.0(+53.0)#5553.0(+52.0)#3,621
56.04252103.052.0(+51.0)#5653.0(+50.0)#3,726
57.04617103.052.0(+51.0)#5753.0(+50.0)#3,771
58.04430102.052.0(+50.0)#5853.0(+49.0)#3,837
59.04628101.052.0(+49.0)#5953.0(+48.0)#3,915
60.0444899.052.0(+47.0)#6053.0(+46.0)#4,077
61.0461998.052.0(+46.0)#6153.0(+45.0)#4,137
62.0445396.052.0(+44.0)#6253.0(+43.0)#4,362
63.0494394.052.0(+42.0)#6353.0(+41.0)#4,539
64.0498394.052.0(+42.0)#6453.0(+41.0)#4,540
65.0425093.052.0(+41.0)#6553.0(+40.0)#4,595
66.0473293.052.0(+41.0)#6653.0(+40.0)#4,616
67.0461492.052.0(+40.0)#6753.0(+39.0)#4,703
68.0407991.052.0(+39.0)#6853.0(+38.0)#4,789
69.0477691.052.0(+39.0)#6953.0(+38.0)#4,828
70.0457290.052.0(+38.0)#7053.0(+37.0)#4,907
71.0407190.052.0(+38.0)#7153.0(+37.0)#4,908
72.0435890.052.0(+38.0)#7253.0(+37.0)#4,912
73.0497490.052.0(+38.0)#7353.0(+37.0)#4,923
74.0390989.052.0(+37.0)#7453.0(+36.0)#4,979
75.0462788.052.0(+36.0)#7553.0(+35.0)#5,131
76.0475687.052.0(+35.0)#7653.0(+34.0)#5,253
77.0441187.052.0(+35.0)#7753.0(+34.0)#5,275
78.0444486.052.0(+34.0)#7853.0(+33.0)#5,344
79.0435386.052.0(+34.0)#7953.0(+33.0)#5,379
80.0497886.052.0(+34.0)#8053.0(+33.0)#5,395
81.0495686.052.0(+34.0)#8153.0(+33.0)#5,401
82.0441285.052.0(+33.0)#8253.0(+32.0)#5,469
83.0421785.052.0(+33.0)#8353.0(+32.0)#5,505
84.0447984.052.0(+32.0)#8453.0(+31.0)#5,673
85.0402183.052.0(+31.0)#8553.0(+30.0)#5,734
86.0423883.052.0(+31.0)#8653.0(+30.0)#5,793
87.0486282.052.0(+30.0)#8753.0(+29.0)#5,904
88.0425382.052.0(+30.0)#8853.0(+29.0)#5,929
89.0490181.052.0(+29.0)#8953.0(+28.0)#6,000
90.0466881.052.0(+29.0)#9053.0(+28.0)#6,097
91.0434880.052.0(+28.0)#9153.0(+27.0)#6,225
92.0421979.052.0(+27.0)#9253.0(+26.0)#6,419
93.0466078.052.0(+26.0)#9353.0(+25.0)#6,580
94.0477278.052.0(+26.0)#9453.0(+25.0)#6,587
95.0409777.052.0(+25.0)#9553.0(+24.0)#6,692
96.0402077.052.0(+25.0)#9653.0(+24.0)#6,729
97.0466477.052.0(+25.0)#9753.0(+24.0)#6,735
98.0485277.052.0(+25.0)#9853.0(+24.0)#6,776
99.0428776.052.0(+24.0)#9953.0(+23.0)#6,900
100.0495176.052.0(+24.0)#10053.0(+23.0)#6,942

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Maine?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Maine are:
#1
550.0
#2
407.0
#3
308.0
#4
300.0
#5
289.0
#6
263.0
#7
240.0
#8
220.0
#9
200.0
#10
197.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in Maine?
04733 has the Most Births per 1,000 Women Below Poverty Level in Maine with 550.0.
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.