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

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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
1.044572.047.0(-45.0)#148.0(-46.0)#25
2.044264.047.0(-43.0)#248.0(-44.0)#129
3.042805.047.0(-42.0)#348.0(-43.0)#190
4.044625.047.0(-42.0)#448.0(-43.0)#203
5.042545.047.0(-42.0)#548.0(-43.0)#210
6.046686.047.0(-41.0)#648.0(-42.0)#295
7.040927.047.0(-40.0)#748.0(-41.0)#320
8.043639.047.0(-38.0)#848.0(-39.0)#626
9.049119.047.0(-38.0)#948.0(-39.0)#638
10.049839.047.0(-38.0)#1048.0(-39.0)#645
11.0494110.047.0(-37.0)#1148.0(-38.0)#794
12.0474712.047.0(-35.0)#1248.0(-36.0)#1,135
13.0442212.047.0(-35.0)#1348.0(-36.0)#1,141
14.0427013.047.0(-34.0)#1448.0(-35.0)#1,246
15.0492013.047.0(-34.0)#1548.0(-35.0)#1,310
16.0457214.047.0(-33.0)#1648.0(-34.0)#1,437
17.0390514.047.0(-33.0)#1748.0(-34.0)#1,484
18.0443514.047.0(-33.0)#1848.0(-34.0)#1,509
19.0410115.047.0(-32.0)#1948.0(-33.0)#1,564
20.0493715.047.0(-32.0)#2048.0(-33.0)#1,624
21.0455515.047.0(-32.0)#2148.0(-33.0)#1,690
22.0455615.047.0(-32.0)#2248.0(-33.0)#1,700
23.0408416.047.0(-31.0)#2348.0(-32.0)#1,810
24.0403818.047.0(-29.0)#2448.0(-30.0)#2,162
25.0401518.047.0(-29.0)#2548.0(-30.0)#2,239
26.0422018.047.0(-29.0)#2648.0(-30.0)#2,243
27.0404219.047.0(-28.0)#2748.0(-29.0)#2,453
28.0457419.047.0(-28.0)#2848.0(-29.0)#2,507
29.0441420.047.0(-27.0)#2948.0(-28.0)#2,750
30.0494320.047.0(-27.0)#3048.0(-28.0)#2,753
31.0401121.047.0(-26.0)#3148.0(-27.0)#2,855
32.0409621.047.0(-26.0)#3248.0(-27.0)#2,917
33.0496321.047.0(-26.0)#3348.0(-27.0)#2,931
34.0422421.047.0(-26.0)#3448.0(-27.0)#2,988
35.0434722.047.0(-25.0)#3548.0(-26.0)#3,239
36.0497022.047.0(-25.0)#3648.0(-26.0)#3,260
37.0445022.047.0(-25.0)#3748.0(-26.0)#3,267
38.0400523.047.0(-24.0)#3848.0(-25.0)#3,361
39.0408723.047.0(-24.0)#3948.0(-25.0)#3,506
40.0478623.047.0(-24.0)#4048.0(-25.0)#3,528
41.0468023.047.0(-24.0)#4148.0(-25.0)#3,538
42.0409324.047.0(-23.0)#4248.0(-24.0)#3,716
43.0428224.047.0(-23.0)#4348.0(-24.0)#3,736
44.0460924.047.0(-23.0)#4448.0(-24.0)#3,749
45.0498124.047.0(-23.0)#4548.0(-24.0)#3,787
46.0448824.047.0(-23.0)#4648.0(-24.0)#3,826
47.0408625.047.0(-22.0)#4748.0(-23.0)#4,006
48.0406425.047.0(-22.0)#4848.0(-23.0)#4,015
49.0486425.047.0(-22.0)#4948.0(-23.0)#4,045
50.0449625.047.0(-22.0)#5048.0(-23.0)#4,054
51.0478125.047.0(-22.0)#5148.0(-23.0)#4,131
52.0442926.047.0(-21.0)#5248.0(-22.0)#4,320
53.0460527.047.0(-20.0)#5348.0(-21.0)#4,562
54.0475727.047.0(-20.0)#5448.0(-21.0)#4,667
55.0492127.047.0(-20.0)#5548.0(-21.0)#4,694
56.0435427.047.0(-20.0)#5648.0(-21.0)#4,699
57.0447128.047.0(-19.0)#5748.0(-20.0)#5,015
58.0410629.047.0(-18.0)#5848.0(-19.0)#5,082
59.0390129.047.0(-18.0)#5948.0(-19.0)#5,160
60.0403729.047.0(-18.0)#6048.0(-19.0)#5,208
61.0465429.047.0(-18.0)#6148.0(-19.0)#5,214
62.0446029.047.0(-18.0)#6248.0(-19.0)#5,277
63.0477629.047.0(-18.0)#6348.0(-19.0)#5,287
64.0464329.047.0(-18.0)#6448.0(-19.0)#5,289
65.0406230.047.0(-17.0)#6548.0(-18.0)#5,432
66.0447330.047.0(-17.0)#6648.0(-18.0)#5,487
67.0404030.047.0(-17.0)#6748.0(-18.0)#5,545
68.0401030.047.0(-17.0)#6848.0(-18.0)#5,565
69.0407431.047.0(-16.0)#6948.0(-17.0)#5,703
70.0404731.047.0(-16.0)#7048.0(-17.0)#5,856
71.0421631.047.0(-16.0)#7148.0(-17.0)#5,890
72.0426832.047.0(-15.0)#7248.0(-16.0)#6,104
73.0435132.047.0(-15.0)#7348.0(-16.0)#6,157
74.0474032.047.0(-15.0)#7448.0(-16.0)#6,191
75.0478732.047.0(-15.0)#7548.0(-16.0)#6,227
76.0407233.047.0(-14.0)#7648.0(-15.0)#6,352
77.0434533.047.0(-14.0)#7748.0(-15.0)#6,395
78.0484733.047.0(-14.0)#7848.0(-15.0)#6,502
79.0494733.047.0(-14.0)#7948.0(-15.0)#6,510
80.0476233.047.0(-14.0)#8048.0(-15.0)#6,545
81.0407334.047.0(-13.0)#8148.0(-14.0)#6,691
82.0457834.047.0(-13.0)#8248.0(-14.0)#6,773
83.0454734.047.0(-13.0)#8348.0(-14.0)#6,836
84.0493835.047.0(-12.0)#8448.0(-13.0)#7,022
85.0473035.047.0(-12.0)#8548.0(-13.0)#7,023
86.0403935.047.0(-12.0)#8648.0(-13.0)#7,038
87.0390635.047.0(-12.0)#8748.0(-13.0)#7,069
88.0457935.047.0(-12.0)#8848.0(-13.0)#7,101
89.0435235.047.0(-12.0)#8948.0(-13.0)#7,134
90.0484336.047.0(-11.0)#9048.0(-12.0)#7,367
91.0400237.047.0(-10.00)#9148.0(-11.0)#7,692
92.0484138.047.0(-9.00)#9248.0(-10.00)#7,998
93.0425938.047.0(-9.00)#9348.0(-10.00)#8,047
94.0462338.047.0(-9.00)#9448.0(-10.00)#8,111
95.0410239.047.0(-8.00)#9548.0(-9.00)#8,299
96.0476539.047.0(-8.00)#9648.0(-9.00)#8,441
97.0442439.047.0(-8.00)#9748.0(-9.00)#8,443
98.0462639.047.0(-8.00)#9848.0(-9.00)#8,455
99.0421040.047.0(-7.00)#9948.0(-8.00)#8,568
100.0425840.047.0(-7.00)#10048.0(-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.