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

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Highest 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 Most Births per 1,000 Women in Labor Force in Maine

0.0
400.0
Zip Codes with the Most Births per 1,000 Women in Labor Force in Maine Map

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

Zip Code Births / 1,000 Women vs State vs National
1.04979346.047.0(+299)#148.0(+298)#351
2.04024314.047.0(+267)#248.0(+266)#429
3.04777291.047.0(+244)#348.0(+243)#495
4.04657286.047.0(+239)#448.0(+238)#516
5.04612284.047.0(+237)#548.0(+236)#522
6.04427276.047.0(+229)#648.0(+228)#548
7.04281215.047.0(+168)#748.0(+167)#869
8.04083211.047.0(+164)#848.0(+163)#905
9.04785203.047.0(+156)#948.0(+155)#967
10.04443200.047.0(+153)#1048.0(+152)#979
11.04490200.047.0(+153)#1148.0(+152)#1,002
12.04464197.047.0(+150)#1248.0(+149)#1,041
13.04468196.047.0(+149)#1348.0(+148)#1,042
14.04971194.047.0(+147)#1448.0(+146)#1,071
15.04922189.047.0(+142)#1548.0(+141)#1,104
16.04961182.047.0(+135)#1648.0(+134)#1,185
17.04691176.047.0(+129)#1748.0(+128)#1,246
18.04474175.047.0(+128)#1848.0(+127)#1,255
19.04346174.047.0(+127)#1948.0(+126)#1,271
20.04564171.047.0(+124)#2048.0(+123)#1,328
21.04953169.047.0(+122)#2148.0(+121)#1,345
22.04430167.047.0(+120)#2248.0(+119)#1,378
23.04406164.047.0(+117)#2348.0(+116)#1,436
24.04958161.047.0(+114)#2448.0(+113)#1,478
25.04265160.047.0(+113)#2548.0(+112)#1,501
26.04742159.047.0(+112)#2648.0(+111)#1,512
27.04475156.047.0(+109)#2748.0(+108)#1,581
28.04050154.047.0(+107)#2848.0(+106)#1,614
29.04617151.047.0(+104)#2948.0(+103)#1,666
30.04289143.047.0(+96.0)#3048.0(+95.0)#1,821
31.04949141.047.0(+94.0)#3148.0(+93.0)#1,887
32.04986138.047.0(+91.0)#3248.0(+90.0)#1,962
33.04364133.047.0(+86.0)#3348.0(+85.0)#2,095
34.04252132.047.0(+85.0)#3448.0(+84.0)#2,126
35.04956128.047.0(+81.0)#3548.0(+80.0)#2,256
36.04448127.047.0(+80.0)#3648.0(+79.0)#2,286
37.04955126.047.0(+79.0)#3748.0(+78.0)#2,333
38.04219125.047.0(+78.0)#3848.0(+77.0)#2,354
39.04479122.047.0(+75.0)#3948.0(+74.0)#2,459
40.04441119.047.0(+72.0)#4048.0(+71.0)#2,566
41.04739118.047.0(+71.0)#4148.0(+70.0)#2,610
42.04735118.047.0(+71.0)#4248.0(+70.0)#2,615
43.04253116.047.0(+69.0)#4348.0(+68.0)#2,688
44.04664116.047.0(+69.0)#4448.0(+68.0)#2,692
45.04292115.047.0(+68.0)#4548.0(+67.0)#2,736
46.04055114.047.0(+67.0)#4648.0(+66.0)#2,757
47.04071113.047.0(+66.0)#4748.0(+65.0)#2,804
48.04079112.047.0(+65.0)#4848.0(+64.0)#2,845
49.04732110.047.0(+63.0)#4948.0(+62.0)#2,974
50.04666110.047.0(+63.0)#5048.0(+62.0)#2,980
51.04358108.047.0(+61.0)#5148.0(+60.0)#3,061
52.04348108.047.0(+61.0)#5248.0(+60.0)#3,063
53.04619108.047.0(+61.0)#5348.0(+60.0)#3,066
54.04020105.047.0(+58.0)#5448.0(+57.0)#3,224
55.04630101.047.0(+54.0)#5548.0(+53.0)#3,473
56.04097100.047.0(+53.0)#5648.0(+52.0)#3,507
57.0441299.047.0(+52.0)#5748.0(+51.0)#3,564
58.0428799.047.0(+52.0)#5848.0(+51.0)#3,586
59.0444497.047.0(+50.0)#5948.0(+49.0)#3,707
60.0473497.047.0(+50.0)#6048.0(+49.0)#3,751
61.0466096.047.0(+49.0)#6148.0(+48.0)#3,812
62.0498796.047.0(+49.0)#6248.0(+48.0)#3,815
63.0496995.047.0(+48.0)#6348.0(+47.0)#3,867
64.0449195.047.0(+48.0)#6448.0(+47.0)#3,886
65.0404894.047.0(+47.0)#6548.0(+46.0)#3,919
66.0441193.047.0(+46.0)#6648.0(+45.0)#4,009
67.0390990.047.0(+43.0)#6748.0(+42.0)#4,227
68.0495789.047.0(+42.0)#6848.0(+41.0)#4,343
69.0486288.047.0(+41.0)#6948.0(+40.0)#4,436
70.0407686.047.0(+39.0)#7048.0(+38.0)#4,649
71.0406886.047.0(+39.0)#7148.0(+38.0)#4,667
72.0409085.047.0(+38.0)#7248.0(+37.0)#4,724
73.0427485.047.0(+38.0)#7348.0(+37.0)#4,744
74.0496681.047.0(+34.0)#7448.0(+33.0)#5,209
75.0495179.047.0(+32.0)#7548.0(+31.0)#5,454
76.0492478.047.0(+31.0)#7648.0(+30.0)#5,568
77.0475878.047.0(+31.0)#7748.0(+30.0)#5,584
78.0423977.047.0(+30.0)#7848.0(+29.0)#5,678
79.0406976.047.0(+29.0)#7948.0(+28.0)#5,852
80.0473675.047.0(+28.0)#8048.0(+27.0)#5,933
81.0474375.047.0(+28.0)#8148.0(+27.0)#5,944
82.0460775.047.0(+28.0)#8248.0(+27.0)#5,977
83.0402174.047.0(+27.0)#8348.0(+26.0)#6,081
84.0491571.047.0(+24.0)#8448.0(+23.0)#6,564
85.0497871.047.0(+24.0)#8548.0(+23.0)#6,627
86.0490170.047.0(+23.0)#8648.0(+22.0)#6,690
87.0491770.047.0(+23.0)#8748.0(+22.0)#6,765
88.0408569.047.0(+22.0)#8848.0(+21.0)#6,956
89.0429468.047.0(+21.0)#8948.0(+20.0)#7,157
90.0493267.047.0(+20.0)#9048.0(+19.0)#7,386
91.0400966.047.0(+19.0)#9148.0(+18.0)#7,522
92.0455365.047.0(+18.0)#9248.0(+17.0)#7,786
93.0403263.047.0(+16.0)#9348.0(+15.0)#8,129
94.0425063.047.0(+16.0)#9448.0(+15.0)#8,155
95.0404963.047.0(+16.0)#9548.0(+15.0)#8,160
96.0486163.047.0(+16.0)#9648.0(+15.0)#8,170
97.0475063.047.0(+16.0)#9748.0(+15.0)#8,187
98.0404163.047.0(+16.0)#9848.0(+15.0)#8,192
99.0443863.047.0(+16.0)#9948.0(+15.0)#8,206
100.0453061.047.0(+14.0)#10048.0(+13.0)#8,588

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Maine?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Maine are:
#1
346.0
#2
314.0
#3
291.0
#4
286.0
#5
284.0
#6
276.0
#7
215.0
#8
211.0
#9
203.0
#10
200.0
What zip code has the Most Births per 1,000 Women in Labor Force in Maine?
04979 has the Most Births per 1,000 Women in Labor Force in Maine with 346.0.
What is the Number of Births per 1,000 Women in Labor Force in the State of Maine?
Number of Births per 1,000 Women in Labor Force in Maine is 47.0.
What is the Number of Births per 1,000 Women in Labor Force in the United States?
Number of Births per 1,000 Women in Labor Force in the United States is 48.0.