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. 04462 4.0 52.0 (-48.0)#1 53.0 (-49.0)#103
2. 04463 5.0 52.0 (-47.0)#2 53.0 (-48.0)#172
3. 04363 7.0 52.0 (-45.0)#3 53.0 (-46.0)#319
4. 04676 7.0 52.0 (-45.0)#4 53.0 (-46.0)#339
5. 04920 8.0 52.0 (-44.0)#5 53.0 (-45.0)#416
6. 04747 9.0 52.0 (-43.0)#6 53.0 (-44.0)#538
7. 04988 10.0 52.0 (-42.0)#7 53.0 (-43.0)#650
8. 04937 11.0 52.0 (-41.0)#8 53.0 (-42.0)#746
9. 04434 11.0 52.0 (-41.0)#9 53.0 (-42.0)#803
10. 04555 12.0 52.0 (-40.0)#10 53.0 (-41.0)#938
11. 04422 12.0 52.0 (-40.0)#11 53.0 (-41.0)#947
12. 04963 14.0 52.0 (-38.0)#12 53.0 (-39.0)#1,164
13. 04015 14.0 52.0 (-38.0)#13 53.0 (-39.0)#1,194
14. 03905 14.0 52.0 (-38.0)#14 53.0 (-39.0)#1,218
15. 04414 14.0 52.0 (-38.0)#15 53.0 (-39.0)#1,229
16. 04101 15.0 52.0 (-37.0)#16 53.0 (-38.0)#1,306
17. 04042 15.0 52.0 (-37.0)#17 53.0 (-38.0)#1,357
18. 04344 15.0 52.0 (-37.0)#18 53.0 (-38.0)#1,381
19. 04224 15.0 52.0 (-37.0)#19 53.0 (-38.0)#1,386
20. 04786 15.0 52.0 (-37.0)#20 53.0 (-38.0)#1,420
21. 04027 16.0 52.0 (-36.0)#21 53.0 (-37.0)#1,527
22. 04911 16.0 52.0 (-36.0)#22 53.0 (-37.0)#1,591
23. 04450 16.0 52.0 (-36.0)#23 53.0 (-37.0)#1,607
24. 04084 17.0 52.0 (-35.0)#24 53.0 (-36.0)#1,704
25. 04912 17.0 52.0 (-35.0)#25 53.0 (-36.0)#1,800
26. 04282 18.0 52.0 (-34.0)#26 53.0 (-35.0)#1,886
27. 04460 18.0 52.0 (-34.0)#27 53.0 (-35.0)#1,969
28. 04347 19.0 52.0 (-33.0)#28 53.0 (-34.0)#2,123
29. 04449 19.0 52.0 (-33.0)#29 53.0 (-34.0)#2,163
30. 04781 19.0 52.0 (-33.0)#30 53.0 (-34.0)#2,185
31. 04064 20.0 52.0 (-32.0)#31 53.0 (-33.0)#2,258
32. 04093 20.0 52.0 (-32.0)#32 53.0 (-33.0)#2,259
33. 04220 20.0 52.0 (-32.0)#33 53.0 (-33.0)#2,312
34. 04472 20.0 52.0 (-32.0)#34 53.0 (-33.0)#2,350
35. 04086 21.0 52.0 (-31.0)#35 53.0 (-32.0)#2,494
36. 04268 21.0 52.0 (-31.0)#36 53.0 (-32.0)#2,534
37. 04429 21.0 52.0 (-31.0)#37 53.0 (-32.0)#2,537
38. 04864 21.0 52.0 (-31.0)#38 53.0 (-32.0)#2,539
39. 04760 21.0 52.0 (-31.0)#39 53.0 (-32.0)#2,639
40. 04674 21.0 52.0 (-31.0)#40 53.0 (-32.0)#2,653
41. 04609 22.0 52.0 (-30.0)#41 53.0 (-31.0)#2,762
42. 04547 22.0 52.0 (-30.0)#42 53.0 (-31.0)#2,848
43. 04473 23.0 52.0 (-29.0)#43 53.0 (-30.0)#2,999
44. 04354 23.0 52.0 (-29.0)#44 53.0 (-30.0)#3,096
45. 04216 23.0 52.0 (-29.0)#45 53.0 (-30.0)#3,124
46. 04254 24.0 52.0 (-28.0)#46 53.0 (-29.0)#3,296
47. 04847 24.0 52.0 (-28.0)#47 53.0 (-29.0)#3,334
48. 04556 24.0 52.0 (-28.0)#48 53.0 (-29.0)#3,347
49. 04074 25.0 52.0 (-27.0)#49 53.0 (-28.0)#3,447
50. 04476 25.0 52.0 (-27.0)#50 53.0 (-28.0)#3,634
51. 04671 25.0 52.0 (-27.0)#51 53.0 (-28.0)#3,650
52. 04471 25.0 52.0 (-27.0)#52 53.0 (-28.0)#3,651
53. 04762 25.0 52.0 (-27.0)#53 53.0 (-28.0)#3,658
54. 04062 26.0 52.0 (-26.0)#54 53.0 (-27.0)#3,724
55. 04457 26.0 52.0 (-26.0)#55 53.0 (-27.0)#3,782
56. 04841 27.0 52.0 (-25.0)#56 53.0 (-26.0)#4,037
57. 04740 27.0 52.0 (-25.0)#57 53.0 (-26.0)#4,135
58. 04435 27.0 52.0 (-25.0)#58 53.0 (-26.0)#4,141
59. 04551 27.0 52.0 (-25.0)#59 53.0 (-26.0)#4,158
60. 04989 28.0 52.0 (-24.0)#60 53.0 (-25.0)#4,335
61. 04970 28.0 52.0 (-24.0)#61 53.0 (-25.0)#4,392
62. 04787 28.0 52.0 (-24.0)#62 53.0 (-25.0)#4,427
63. 04285 28.0 52.0 (-24.0)#63 53.0 (-25.0)#4,428
64. 04051 29.0 52.0 (-23.0)#64 53.0 (-24.0)#4,659
65. 04424 29.0 52.0 (-23.0)#65 53.0 (-24.0)#4,675
66. 04005 30.0 52.0 (-22.0)#66 53.0 (-23.0)#4,775
67. 04096 30.0 52.0 (-22.0)#67 53.0 (-23.0)#4,848
68. 04039 30.0 52.0 (-22.0)#68 53.0 (-23.0)#4,854
69. 04910 30.0 52.0 (-22.0)#69 53.0 (-23.0)#4,933
70. 04563 30.0 52.0 (-22.0)#70 53.0 (-23.0)#4,962
71. 04745 30.0 52.0 (-22.0)#71 53.0 (-23.0)#4,985
72. 04921 31.0 52.0 (-21.0)#72 53.0 (-22.0)#5,257
73. 04481 31.0 52.0 (-21.0)#73 53.0 (-22.0)#5,301
74. 04106 32.0 52.0 (-20.0)#74 53.0 (-21.0)#5,369
75. 04578 32.0 52.0 (-20.0)#75 53.0 (-21.0)#5,486
76. 04496 32.0 52.0 (-20.0)#76 53.0 (-21.0)#5,498
77. 04927 32.0 52.0 (-20.0)#77 53.0 (-21.0)#5,503
78. 04611 32.0 52.0 (-20.0)#78 53.0 (-21.0)#5,582
79. 04092 33.0 52.0 (-19.0)#79 53.0 (-20.0)#5,697
80. 04345 33.0 52.0 (-19.0)#80 53.0 (-20.0)#5,744
81. 04351 33.0 52.0 (-19.0)#81 53.0 (-20.0)#5,847
82. 04693 33.0 52.0 (-19.0)#82 53.0 (-20.0)#5,905
83. 04605 34.0 52.0 (-18.0)#83 53.0 (-19.0)#6,037
84. 04043 34.0 52.0 (-18.0)#84 53.0 (-19.0)#6,056
85. 04667 34.0 52.0 (-18.0)#85 53.0 (-19.0)#6,191
86. 04349 34.0 52.0 (-18.0)#86 53.0 (-19.0)#6,192
87. 04655 34.0 52.0 (-18.0)#87 53.0 (-19.0)#6,204
88. 04495 34.0 52.0 (-18.0)#88 53.0 (-19.0)#6,233
89. 04938 35.0 52.0 (-17.0)#89 53.0 (-18.0)#6,391
90. 04002 35.0 52.0 (-17.0)#90 53.0 (-18.0)#6,406
91. 03903 35.0 52.0 (-17.0)#91 53.0 (-18.0)#6,416
92. 04258 35.0 52.0 (-17.0)#92 53.0 (-18.0)#6,468
93. 04493 35.0 52.0 (-17.0)#93 53.0 (-18.0)#6,488
94. 04280 36.0 52.0 (-16.0)#94 53.0 (-17.0)#6,756
95. 04652 36.0 52.0 (-16.0)#95 53.0 (-17.0)#6,859
96. 04210 37.0 52.0 (-15.0)#96 53.0 (-16.0)#6,985
97. 04073 37.0 52.0 (-15.0)#97 53.0 (-16.0)#7,022
98. 04085 37.0 52.0 (-15.0)#98 53.0 (-16.0)#7,124
99. 04680 37.0 52.0 (-15.0)#99 53.0 (-16.0)#7,174
100. 04017 37.0 52.0 (-15.0)#100 53.0 (-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.