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

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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
North Carolina
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Most Births per 1,000 Women in Labor Force in North Carolina

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women in Labor Force in North Carolina Map

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

Zip Code Births / 1,000 Women vs State vs National
1.284471,000.046.0(+954)#148.0(+952)#1
2.272021,000.046.0(+954)#248.0(+952)#37
3.28663547.046.0(+501)#348.0(+499)#136
4.27972489.046.0(+443)#448.0(+441)#180
5.27897390.046.0(+344)#548.0(+342)#273
6.27820383.046.0(+337)#648.0(+335)#286
7.28702364.046.0(+318)#748.0(+316)#319
8.28375333.046.0(+287)#848.0(+285)#386
9.28665307.046.0(+261)#948.0(+259)#449
10.27853292.046.0(+246)#1048.0(+244)#489
11.27890280.046.0(+234)#1148.0(+232)#534
12.28434276.046.0(+230)#1248.0(+228)#554
13.27846257.046.0(+211)#1348.0(+209)#625
14.28392246.046.0(+200)#1448.0(+198)#678
15.28606243.046.0(+197)#1548.0(+195)#696
16.27553241.046.0(+195)#1648.0(+193)#707
17.28542222.046.0(+176)#1748.0(+174)#811
18.28169222.046.0(+176)#1848.0(+174)#824
19.28617220.046.0(+174)#1948.0(+172)#831
20.28469217.046.0(+171)#2048.0(+169)#852
21.28430209.046.0(+163)#2148.0(+161)#917
22.28439202.046.0(+156)#2248.0(+154)#974
23.28683196.046.0(+150)#2348.0(+148)#1,048
24.28627183.046.0(+137)#2448.0(+135)#1,178
25.28119171.046.0(+125)#2548.0(+123)#1,321
26.27983165.046.0(+119)#2648.0(+117)#1,414
27.28020163.046.0(+117)#2748.0(+115)#1,442
28.28501162.046.0(+116)#2848.0(+114)#1,456
29.27325160.046.0(+114)#2948.0(+112)#1,487
30.28756158.046.0(+112)#3048.0(+110)#1,532
31.28649156.046.0(+110)#3148.0(+108)#1,572
32.27825156.046.0(+110)#3248.0(+108)#1,585
33.28905155.046.0(+109)#3348.0(+107)#1,591
34.27974150.046.0(+104)#3448.0(+102)#1,682
35.28634149.046.0(+103)#3548.0(+101)#1,693
36.27252148.046.0(+102)#3648.0(+100.0)#1,719
37.28685147.046.0(+101)#3748.0(+99.0)#1,742
38.28091146.046.0(+100.0)#3848.0(+98.0)#1,766
39.27555143.046.0(+97.0)#3948.0(+95.0)#1,836
40.28643142.046.0(+96.0)#4048.0(+94.0)#1,863
41.27007137.046.0(+91.0)#4148.0(+89.0)#1,993
42.27958135.046.0(+89.0)#4248.0(+87.0)#2,039
43.27316135.046.0(+89.0)#4348.0(+87.0)#2,043
44.28043133.046.0(+87.0)#4448.0(+85.0)#2,087
45.28103133.046.0(+87.0)#4548.0(+85.0)#2,092
46.27882127.046.0(+81.0)#4648.0(+79.0)#2,270
47.27051126.046.0(+80.0)#4748.0(+78.0)#2,314
48.27962124.046.0(+78.0)#4848.0(+76.0)#2,387
49.28464121.046.0(+75.0)#4948.0(+73.0)#2,489
50.27932120.046.0(+74.0)#5048.0(+72.0)#2,507
51.27874120.046.0(+74.0)#5148.0(+72.0)#2,516
52.28580118.046.0(+72.0)#5248.0(+70.0)#2,585
53.28420114.046.0(+68.0)#5348.0(+66.0)#2,765
54.27551114.046.0(+68.0)#5448.0(+66.0)#2,770
55.27818113.046.0(+67.0)#5548.0(+65.0)#2,816
56.28396111.046.0(+65.0)#5648.0(+63.0)#2,899
57.28382110.046.0(+64.0)#5748.0(+62.0)#2,953
58.27544110.046.0(+64.0)#5848.0(+62.0)#2,956
59.28465105.046.0(+59.0)#5948.0(+57.0)#3,197
60.27589104.046.0(+58.0)#6048.0(+56.0)#3,262
61.27910101.046.0(+55.0)#6148.0(+53.0)#3,440
62.28901100.046.0(+54.0)#6248.0(+52.0)#3,502
63.2865899.046.0(+53.0)#6348.0(+51.0)#3,556
64.2834599.046.0(+53.0)#6448.0(+51.0)#3,561
65.2851399.046.0(+53.0)#6548.0(+51.0)#3,563
66.2832399.046.0(+53.0)#6648.0(+51.0)#3,577
67.2846398.046.0(+52.0)#6748.0(+50.0)#3,639
68.2797698.046.0(+52.0)#6848.0(+50.0)#3,647
69.2816697.046.0(+51.0)#6948.0(+49.0)#3,699
70.2792395.046.0(+49.0)#7048.0(+47.0)#3,876
71.2750293.046.0(+47.0)#7148.0(+45.0)#3,959
72.2814793.046.0(+47.0)#7248.0(+45.0)#3,965
73.2843293.046.0(+47.0)#7348.0(+45.0)#4,011
74.2734491.046.0(+45.0)#7448.0(+43.0)#4,115
75.2845891.046.0(+45.0)#7548.0(+43.0)#4,134
76.2816790.046.0(+44.0)#7648.0(+42.0)#4,262
77.2784990.046.0(+44.0)#7748.0(+42.0)#4,277
78.2861289.046.0(+43.0)#7848.0(+41.0)#4,317
79.2864289.046.0(+43.0)#7948.0(+41.0)#4,337
80.2808688.046.0(+42.0)#8048.0(+40.0)#4,398
81.2801288.046.0(+42.0)#8148.0(+40.0)#4,401
82.2875388.046.0(+42.0)#8248.0(+40.0)#4,419
83.2851888.046.0(+42.0)#8348.0(+40.0)#4,422
84.2874288.046.0(+42.0)#8448.0(+40.0)#4,446
85.2788687.046.0(+41.0)#8548.0(+39.0)#4,508
86.2878387.046.0(+41.0)#8648.0(+39.0)#4,568
87.2842986.046.0(+40.0)#8748.0(+38.0)#4,622
88.2792186.046.0(+40.0)#8848.0(+38.0)#4,636
89.2873285.046.0(+39.0)#8948.0(+37.0)#4,708
90.2816485.046.0(+39.0)#9048.0(+37.0)#4,714
91.2758185.046.0(+39.0)#9148.0(+37.0)#4,749
92.2854782.046.0(+36.0)#9248.0(+34.0)#5,019
93.2730182.046.0(+36.0)#9348.0(+34.0)#5,048
94.2853882.046.0(+36.0)#9448.0(+34.0)#5,091
95.2854081.046.0(+35.0)#9548.0(+33.0)#5,127
96.2802181.046.0(+35.0)#9648.0(+33.0)#5,171
97.2757780.046.0(+34.0)#9748.0(+32.0)#5,251
98.2813480.046.0(+34.0)#9848.0(+32.0)#5,274
99.2760880.046.0(+34.0)#9948.0(+32.0)#5,276
100.2845780.046.0(+34.0)#10048.0(+32.0)#5,277

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in North Carolina?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in North Carolina are:
#1
1,000.0
#2
1,000.0
#3
547.0
#4
489.0
#5
390.0
#6
383.0
#7
364.0
#8
333.0
#9
307.0
#10
292.0
What zip code has the Most Births per 1,000 Women in Labor Force in North Carolina?
28447 has the Most Births per 1,000 Women in Labor Force in North Carolina with 1,000.0.
What is the Number of Births per 1,000 Women in Labor Force in the State of North Carolina?
Number of Births per 1,000 Women in Labor Force in North Carolina is 46.0.
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.