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

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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
North Carolina
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Births / 1,000 Women vs State vs National
1.278392.046.0(-44.0)#148.0(-46.0)#30
2.278303.046.0(-43.0)#248.0(-45.0)#76
3.287154.046.0(-42.0)#348.0(-44.0)#91
4.283834.046.0(-42.0)#448.0(-44.0)#117
5.283914.046.0(-42.0)#548.0(-44.0)#122
6.270135.046.0(-41.0)#648.0(-43.0)#192
7.287015.046.0(-41.0)#748.0(-43.0)#196
8.287265.046.0(-41.0)#848.0(-43.0)#208
9.275146.046.0(-40.0)#948.0(-42.0)#235
10.286056.046.0(-40.0)#1048.0(-42.0)#273
11.272296.046.0(-40.0)#1148.0(-42.0)#276
12.274126.046.0(-40.0)#1248.0(-42.0)#279
13.278526.046.0(-40.0)#1348.0(-42.0)#287
14.286907.046.0(-39.0)#1448.0(-41.0)#338
15.286947.046.0(-39.0)#1548.0(-41.0)#346
16.279227.046.0(-39.0)#1648.0(-41.0)#403
17.282078.046.0(-38.0)#1748.0(-40.0)#439
18.279498.046.0(-38.0)#1848.0(-40.0)#445
19.270188.046.0(-38.0)#1948.0(-40.0)#447
20.278378.046.0(-38.0)#2048.0(-40.0)#460
21.273418.046.0(-38.0)#2148.0(-40.0)#484
22.278718.046.0(-38.0)#2248.0(-40.0)#490
23.286768.046.0(-38.0)#2348.0(-40.0)#503
24.275729.046.0(-37.0)#2448.0(-39.0)#591
25.285559.046.0(-37.0)#2548.0(-39.0)#600
26.2795410.046.0(-36.0)#2648.0(-38.0)#740
27.2872311.046.0(-35.0)#2748.0(-37.0)#864
28.2705211.046.0(-35.0)#2848.0(-37.0)#866
29.2820411.046.0(-35.0)#2948.0(-37.0)#871
30.2800911.046.0(-35.0)#3048.0(-37.0)#974
31.2780312.046.0(-34.0)#3148.0(-36.0)#1,014
32.2737712.046.0(-34.0)#3248.0(-36.0)#1,042
33.2833712.046.0(-34.0)#3348.0(-36.0)#1,049
34.2812412.046.0(-34.0)#3448.0(-36.0)#1,073
35.2760512.046.0(-34.0)#3548.0(-36.0)#1,075
36.2735512.046.0(-34.0)#3648.0(-36.0)#1,112
37.2820313.046.0(-33.0)#3748.0(-35.0)#1,191
38.2879113.046.0(-33.0)#3848.0(-35.0)#1,201
39.2728213.046.0(-33.0)#3948.0(-35.0)#1,202
40.2865013.046.0(-33.0)#4048.0(-35.0)#1,211
41.2834013.046.0(-33.0)#4148.0(-35.0)#1,222
42.2751714.046.0(-32.0)#4248.0(-34.0)#1,358
43.2750114.046.0(-32.0)#4348.0(-34.0)#1,366
44.2836914.046.0(-32.0)#4448.0(-34.0)#1,482
45.2770415.046.0(-31.0)#4548.0(-33.0)#1,536
46.2840315.046.0(-31.0)#4648.0(-33.0)#1,539
47.2771215.046.0(-31.0)#4748.0(-33.0)#1,552
48.2847215.046.0(-31.0)#4848.0(-33.0)#1,563
49.2851615.046.0(-31.0)#4948.0(-33.0)#1,590
50.2878515.046.0(-31.0)#5048.0(-33.0)#1,606
51.2756315.046.0(-31.0)#5148.0(-33.0)#1,627
52.2845315.046.0(-31.0)#5248.0(-33.0)#1,645
53.2803215.046.0(-31.0)#5348.0(-33.0)#1,654
54.2794416.046.0(-30.0)#5448.0(-32.0)#1,787
55.2737616.046.0(-30.0)#5548.0(-32.0)#1,798
56.2872216.046.0(-30.0)#5648.0(-32.0)#1,818
57.2812916.046.0(-30.0)#5748.0(-32.0)#1,821
58.2839916.046.0(-30.0)#5848.0(-32.0)#1,878
59.2832717.046.0(-29.0)#5948.0(-31.0)#1,959
60.2877117.046.0(-29.0)#6048.0(-31.0)#1,997
61.2812817.046.0(-29.0)#6148.0(-31.0)#1,998
62.2702717.046.0(-29.0)#6248.0(-31.0)#2,026
63.2850418.046.0(-28.0)#6348.0(-30.0)#2,156
64.2801618.046.0(-28.0)#6448.0(-30.0)#2,180
65.2752118.046.0(-28.0)#6548.0(-30.0)#2,210
66.2701118.046.0(-28.0)#6648.0(-30.0)#2,222
67.2756218.046.0(-28.0)#6748.0(-30.0)#2,227
68.2875118.046.0(-28.0)#6848.0(-30.0)#2,231
69.2792518.046.0(-28.0)#6948.0(-30.0)#2,250
70.2786518.046.0(-28.0)#7048.0(-30.0)#2,260
71.2761619.046.0(-27.0)#7148.0(-29.0)#2,324
72.2726319.046.0(-27.0)#7248.0(-29.0)#2,360
73.2754619.046.0(-27.0)#7348.0(-29.0)#2,362
74.2780119.046.0(-27.0)#7448.0(-29.0)#2,370
75.2880119.046.0(-27.0)#7548.0(-29.0)#2,394
76.2756819.046.0(-27.0)#7648.0(-29.0)#2,511
77.2826220.046.0(-26.0)#7748.0(-28.0)#2,549
78.2710320.046.0(-26.0)#7848.0(-28.0)#2,560
79.2753720.046.0(-26.0)#7948.0(-28.0)#2,592
80.2863020.046.0(-26.0)#8048.0(-28.0)#2,597
81.2724420.046.0(-26.0)#8148.0(-28.0)#2,613
82.2720920.046.0(-26.0)#8248.0(-28.0)#2,703
83.2843620.046.0(-26.0)#8348.0(-28.0)#2,757
84.2859021.046.0(-25.0)#8448.0(-27.0)#2,837
85.2880421.046.0(-25.0)#8548.0(-27.0)#2,844
86.2789221.046.0(-25.0)#8648.0(-27.0)#2,890
87.2847021.046.0(-25.0)#8748.0(-27.0)#2,906
88.2810721.046.0(-25.0)#8848.0(-27.0)#2,915
89.2724821.046.0(-25.0)#8948.0(-27.0)#2,962
90.2857321.046.0(-25.0)#9048.0(-27.0)#3,011
91.2860722.046.0(-24.0)#9148.0(-26.0)#3,083
92.2754922.046.0(-24.0)#9248.0(-26.0)#3,100
93.2878622.046.0(-24.0)#9348.0(-26.0)#3,112
94.2840122.046.0(-24.0)#9448.0(-26.0)#3,113
95.2846022.046.0(-24.0)#9548.0(-26.0)#3,155
96.2854422.046.0(-24.0)#9648.0(-26.0)#3,203
97.2839422.046.0(-24.0)#9748.0(-26.0)#3,205
98.2728122.046.0(-24.0)#9848.0(-26.0)#3,228
99.2833222.046.0(-24.0)#9948.0(-26.0)#3,290
100.2770523.046.0(-23.0)#10048.0(-25.0)#3,321

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in North Carolina?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in North Carolina are:
#1
2.0
#2
3.0
#3
4.0
#4
4.0
#5
4.0
#6
5.0
#7
5.0
#8
5.0
#9
6.0
#10
6.0
What zip code has the Lowest Births per 1,000 Women in Labor Force in North Carolina?
27839 has the Lowest Births per 1,000 Women in Labor Force in North Carolina with 2.0.
What is the Number Births per 1,000 Women in Labor Force in the State of North Carolina?
Number Births per 1,000 Women in Labor Force in North Carolina is 46.0.
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.