Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Maine

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Lowest Birth Rate | In Labor Force
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 Lowest Births per 1,000 Women in Labor Force in Maine

40.0
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Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Maine Map

Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Maine

Zip Code Births / 1,000 Women vs State vs National
1. 04457 2.0 47.0 (-45.0)#1 48.0 (-46.0)#25
2. 04426 4.0 47.0 (-43.0)#2 48.0 (-44.0)#129
3. 04280 5.0 47.0 (-42.0)#3 48.0 (-43.0)#190
4. 04462 5.0 47.0 (-42.0)#4 48.0 (-43.0)#203
5. 04254 5.0 47.0 (-42.0)#5 48.0 (-43.0)#210
6. 04668 6.0 47.0 (-41.0)#6 48.0 (-42.0)#295
7. 04092 7.0 47.0 (-40.0)#7 48.0 (-41.0)#320
8. 04363 9.0 47.0 (-38.0)#8 48.0 (-39.0)#626
9. 04911 9.0 47.0 (-38.0)#9 48.0 (-39.0)#638
10. 04983 9.0 47.0 (-38.0)#10 48.0 (-39.0)#645
11. 04941 10.0 47.0 (-37.0)#11 48.0 (-38.0)#794
12. 04747 12.0 47.0 (-35.0)#12 48.0 (-36.0)#1,135
13. 04422 12.0 47.0 (-35.0)#13 48.0 (-36.0)#1,141
14. 04270 13.0 47.0 (-34.0)#14 48.0 (-35.0)#1,246
15. 04920 13.0 47.0 (-34.0)#15 48.0 (-35.0)#1,310
16. 04572 14.0 47.0 (-33.0)#16 48.0 (-34.0)#1,437
17. 03905 14.0 47.0 (-33.0)#17 48.0 (-34.0)#1,484
18. 04435 14.0 47.0 (-33.0)#18 48.0 (-34.0)#1,509
19. 04101 15.0 47.0 (-32.0)#19 48.0 (-33.0)#1,564
20. 04937 15.0 47.0 (-32.0)#20 48.0 (-33.0)#1,624
21. 04555 15.0 47.0 (-32.0)#21 48.0 (-33.0)#1,690
22. 04556 15.0 47.0 (-32.0)#22 48.0 (-33.0)#1,700
23. 04084 16.0 47.0 (-31.0)#23 48.0 (-32.0)#1,810
24. 04038 18.0 47.0 (-29.0)#24 48.0 (-30.0)#2,162
25. 04015 18.0 47.0 (-29.0)#25 48.0 (-30.0)#2,239
26. 04220 18.0 47.0 (-29.0)#26 48.0 (-30.0)#2,243
27. 04042 19.0 47.0 (-28.0)#27 48.0 (-29.0)#2,453
28. 04574 19.0 47.0 (-28.0)#28 48.0 (-29.0)#2,507
29. 04414 20.0 47.0 (-27.0)#29 48.0 (-28.0)#2,750
30. 04943 20.0 47.0 (-27.0)#30 48.0 (-28.0)#2,753
31. 04011 21.0 47.0 (-26.0)#31 48.0 (-27.0)#2,855
32. 04096 21.0 47.0 (-26.0)#32 48.0 (-27.0)#2,917
33. 04963 21.0 47.0 (-26.0)#33 48.0 (-27.0)#2,931
34. 04224 21.0 47.0 (-26.0)#34 48.0 (-27.0)#2,988
35. 04347 22.0 47.0 (-25.0)#35 48.0 (-26.0)#3,239
36. 04970 22.0 47.0 (-25.0)#36 48.0 (-26.0)#3,260
37. 04450 22.0 47.0 (-25.0)#37 48.0 (-26.0)#3,267
38. 04005 23.0 47.0 (-24.0)#38 48.0 (-25.0)#3,361
39. 04087 23.0 47.0 (-24.0)#39 48.0 (-25.0)#3,506
40. 04786 23.0 47.0 (-24.0)#40 48.0 (-25.0)#3,528
41. 04680 23.0 47.0 (-24.0)#41 48.0 (-25.0)#3,538
42. 04093 24.0 47.0 (-23.0)#42 48.0 (-24.0)#3,716
43. 04282 24.0 47.0 (-23.0)#43 48.0 (-24.0)#3,736
44. 04609 24.0 47.0 (-23.0)#44 48.0 (-24.0)#3,749
45. 04981 24.0 47.0 (-23.0)#45 48.0 (-24.0)#3,787
46. 04488 24.0 47.0 (-23.0)#46 48.0 (-24.0)#3,826
47. 04086 25.0 47.0 (-22.0)#47 48.0 (-23.0)#4,006
48. 04064 25.0 47.0 (-22.0)#48 48.0 (-23.0)#4,015
49. 04864 25.0 47.0 (-22.0)#49 48.0 (-23.0)#4,045
50. 04496 25.0 47.0 (-22.0)#50 48.0 (-23.0)#4,054
51. 04781 25.0 47.0 (-22.0)#51 48.0 (-23.0)#4,131
52. 04429 26.0 47.0 (-21.0)#52 48.0 (-22.0)#4,320
53. 04605 27.0 47.0 (-20.0)#53 48.0 (-21.0)#4,562
54. 04757 27.0 47.0 (-20.0)#54 48.0 (-21.0)#4,667
55. 04921 27.0 47.0 (-20.0)#55 48.0 (-21.0)#4,694
56. 04354 27.0 47.0 (-20.0)#56 48.0 (-21.0)#4,699
57. 04471 28.0 47.0 (-19.0)#57 48.0 (-20.0)#5,015
58. 04106 29.0 47.0 (-18.0)#58 48.0 (-19.0)#5,082
59. 03901 29.0 47.0 (-18.0)#59 48.0 (-19.0)#5,160
60. 04037 29.0 47.0 (-18.0)#60 48.0 (-19.0)#5,208
61. 04654 29.0 47.0 (-18.0)#61 48.0 (-19.0)#5,214
62. 04460 29.0 47.0 (-18.0)#62 48.0 (-19.0)#5,277
63. 04776 29.0 47.0 (-18.0)#63 48.0 (-19.0)#5,287
64. 04643 29.0 47.0 (-18.0)#64 48.0 (-19.0)#5,289
65. 04062 30.0 47.0 (-17.0)#65 48.0 (-18.0)#5,432
66. 04473 30.0 47.0 (-17.0)#66 48.0 (-18.0)#5,487
67. 04040 30.0 47.0 (-17.0)#67 48.0 (-18.0)#5,545
68. 04010 30.0 47.0 (-17.0)#68 48.0 (-18.0)#5,565
69. 04074 31.0 47.0 (-16.0)#69 48.0 (-17.0)#5,703
70. 04047 31.0 47.0 (-16.0)#70 48.0 (-17.0)#5,856
71. 04216 31.0 47.0 (-16.0)#71 48.0 (-17.0)#5,890
72. 04268 32.0 47.0 (-15.0)#72 48.0 (-16.0)#6,104
73. 04351 32.0 47.0 (-15.0)#73 48.0 (-16.0)#6,157
74. 04740 32.0 47.0 (-15.0)#74 48.0 (-16.0)#6,191
75. 04787 32.0 47.0 (-15.0)#75 48.0 (-16.0)#6,227
76. 04072 33.0 47.0 (-14.0)#76 48.0 (-15.0)#6,352
77. 04345 33.0 47.0 (-14.0)#77 48.0 (-15.0)#6,395
78. 04847 33.0 47.0 (-14.0)#78 48.0 (-15.0)#6,502
79. 04947 33.0 47.0 (-14.0)#79 48.0 (-15.0)#6,510
80. 04762 33.0 47.0 (-14.0)#80 48.0 (-15.0)#6,545
81. 04073 34.0 47.0 (-13.0)#81 48.0 (-14.0)#6,691
82. 04578 34.0 47.0 (-13.0)#82 48.0 (-14.0)#6,773
83. 04547 34.0 47.0 (-13.0)#83 48.0 (-14.0)#6,836
84. 04938 35.0 47.0 (-12.0)#84 48.0 (-13.0)#7,022
85. 04730 35.0 47.0 (-12.0)#85 48.0 (-13.0)#7,023
86. 04039 35.0 47.0 (-12.0)#86 48.0 (-13.0)#7,038
87. 03906 35.0 47.0 (-12.0)#87 48.0 (-13.0)#7,069
88. 04579 35.0 47.0 (-12.0)#88 48.0 (-13.0)#7,101
89. 04352 35.0 47.0 (-12.0)#89 48.0 (-13.0)#7,134
90. 04843 36.0 47.0 (-11.0)#90 48.0 (-12.0)#7,367
91. 04002 37.0 47.0 (-10.00)#91 48.0 (-11.0)#7,692
92. 04841 38.0 47.0 (-9.00)#92 48.0 (-10.00)#7,998
93. 04259 38.0 47.0 (-9.00)#93 48.0 (-10.00)#8,047
94. 04623 38.0 47.0 (-9.00)#94 48.0 (-10.00)#8,111
95. 04102 39.0 47.0 (-8.00)#95 48.0 (-9.00)#8,299
96. 04765 39.0 47.0 (-8.00)#96 48.0 (-9.00)#8,441
97. 04424 39.0 47.0 (-8.00)#97 48.0 (-9.00)#8,443
98. 04626 39.0 47.0 (-8.00)#98 48.0 (-9.00)#8,455
99. 04210 40.0 47.0 (-7.00)#99 48.0 (-8.00)#8,568
100. 04258 40.0 47.0 (-7.00)#100 48.0 (-8.00)#8,733

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Maine?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Maine are:
#1
2.0
#2
4.0
#3
5.0
#4
5.0
#5
5.0
#6
6.0
#7
7.0
#8
9.0
#9
9.0
#10
9.0
What zip code has the Lowest Births per 1,000 Women in Labor Force in Maine?
04457 has the Lowest Births per 1,000 Women in Labor Force in Maine with 2.0.
What is the Number Births per 1,000 Women in Labor Force in the State of Maine?
Number Births per 1,000 Women in Labor Force in Maine is 47.0.
What is the Number Births per 1,000 Women in Labor Force in the United States?
Number Births per 1,000 Women in Labor Force in the United States is 48.0.