Zip Codes with the Lowest Births per 1,000 Women in Labor Force in North Carolina [ 501 - 600 ]

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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

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
501. 27207 80.0 46.0 (+34.0)#501 48.0 (+32.0)#17,966
502. 28511 80.0 46.0 (+34.0)#502 48.0 (+32.0)#18,005
503. 28540 81.0 46.0 (+35.0)#503 48.0 (+33.0)#18,016
504. 28021 81.0 46.0 (+35.0)#504 48.0 (+33.0)#18,060
505. 28547 82.0 46.0 (+36.0)#505 48.0 (+34.0)#18,139
506. 27301 82.0 46.0 (+36.0)#506 48.0 (+34.0)#18,168
507. 28538 82.0 46.0 (+36.0)#507 48.0 (+34.0)#18,211
508. 28732 85.0 46.0 (+39.0)#508 48.0 (+37.0)#18,488
509. 28164 85.0 46.0 (+39.0)#509 48.0 (+37.0)#18,494
510. 27581 85.0 46.0 (+39.0)#510 48.0 (+37.0)#18,529
511. 28429 86.0 46.0 (+40.0)#511 48.0 (+38.0)#18,604
512. 27921 86.0 46.0 (+40.0)#512 48.0 (+38.0)#18,618
513. 27886 87.0 46.0 (+41.0)#513 48.0 (+39.0)#18,693
514. 28783 87.0 46.0 (+41.0)#514 48.0 (+39.0)#18,753
515. 28086 88.0 46.0 (+42.0)#515 48.0 (+40.0)#18,778
516. 28012 88.0 46.0 (+42.0)#516 48.0 (+40.0)#18,781
517. 28753 88.0 46.0 (+42.0)#517 48.0 (+40.0)#18,799
518. 28518 88.0 46.0 (+42.0)#518 48.0 (+40.0)#18,802
519. 28742 88.0 46.0 (+42.0)#519 48.0 (+40.0)#18,826
520. 28612 89.0 46.0 (+43.0)#520 48.0 (+41.0)#18,896
521. 28642 89.0 46.0 (+43.0)#521 48.0 (+41.0)#18,916
522. 28167 90.0 46.0 (+44.0)#522 48.0 (+42.0)#19,027
523. 27849 90.0 46.0 (+44.0)#523 48.0 (+42.0)#19,042
524. 27344 91.0 46.0 (+45.0)#524 48.0 (+43.0)#19,063
525. 28458 91.0 46.0 (+45.0)#525 48.0 (+43.0)#19,082
526. 27502 93.0 46.0 (+47.0)#526 48.0 (+45.0)#19,231
527. 28147 93.0 46.0 (+47.0)#527 48.0 (+45.0)#19,237
528. 28432 93.0 46.0 (+47.0)#528 48.0 (+45.0)#19,283
529. 27923 95.0 46.0 (+49.0)#529 48.0 (+47.0)#19,419
530. 28166 97.0 46.0 (+51.0)#530 48.0 (+49.0)#19,514
531. 28463 98.0 46.0 (+52.0)#531 48.0 (+50.0)#19,599
532. 27976 98.0 46.0 (+52.0)#532 48.0 (+50.0)#19,607
533. 28658 99.0 46.0 (+53.0)#533 48.0 (+51.0)#19,649
534. 28345 99.0 46.0 (+53.0)#534 48.0 (+51.0)#19,654
535. 28513 99.0 46.0 (+53.0)#535 48.0 (+51.0)#19,656
536. 28323 99.0 46.0 (+53.0)#536 48.0 (+51.0)#19,670
537. 28901 100.0 46.0 (+54.0)#537 48.0 (+52.0)#19,725
538. 27910 101.0 46.0 (+55.0)#538 48.0 (+53.0)#19,785
539. 27589 104.0 46.0 (+58.0)#539 48.0 (+56.0)#19,975
540. 28465 105.0 46.0 (+59.0)#540 48.0 (+57.0)#20,030
541. 28382 110.0 46.0 (+64.0)#541 48.0 (+62.0)#20,280
542. 27544 110.0 46.0 (+64.0)#542 48.0 (+62.0)#20,283
543. 28396 111.0 46.0 (+65.0)#543 48.0 (+63.0)#20,346
544. 27818 113.0 46.0 (+67.0)#544 48.0 (+65.0)#20,456
545. 28420 114.0 46.0 (+68.0)#545 48.0 (+66.0)#20,484
546. 27551 114.0 46.0 (+68.0)#546 48.0 (+66.0)#20,489
547. 28580 118.0 46.0 (+72.0)#547 48.0 (+70.0)#20,635
548. 27932 120.0 46.0 (+74.0)#548 48.0 (+72.0)#20,722
549. 27874 120.0 46.0 (+74.0)#549 48.0 (+72.0)#20,731
550. 28464 121.0 46.0 (+75.0)#550 48.0 (+73.0)#20,769
551. 27962 124.0 46.0 (+78.0)#551 48.0 (+76.0)#20,856
552. 27051 126.0 46.0 (+80.0)#552 48.0 (+78.0)#20,925
553. 27882 127.0 46.0 (+81.0)#553 48.0 (+79.0)#20,956
554. 28043 133.0 46.0 (+87.0)#554 48.0 (+85.0)#21,133
555. 28103 133.0 46.0 (+87.0)#555 48.0 (+85.0)#21,138
556. 27958 135.0 46.0 (+89.0)#556 48.0 (+87.0)#21,195
557. 27316 135.0 46.0 (+89.0)#557 48.0 (+87.0)#21,199
558. 27007 137.0 46.0 (+91.0)#558 48.0 (+89.0)#21,262
559. 28643 142.0 46.0 (+96.0)#559 48.0 (+94.0)#21,388
560. 27555 143.0 46.0 (+97.0)#560 48.0 (+95.0)#21,430
561. 28091 146.0 46.0 (+100.0)#561 48.0 (+98.0)#21,486
562. 28685 147.0 46.0 (+101)#562 48.0 (+99.0)#21,511
563. 27252 148.0 46.0 (+102)#563 48.0 (+100.0)#21,535
564. 28634 149.0 46.0 (+103)#564 48.0 (+101)#21,548
565. 27974 150.0 46.0 (+104)#565 48.0 (+102)#21,578
566. 28905 155.0 46.0 (+109)#566 48.0 (+107)#21,657
567. 28649 156.0 46.0 (+110)#567 48.0 (+108)#21,681
568. 27825 156.0 46.0 (+110)#568 48.0 (+108)#21,694
569. 28756 158.0 46.0 (+112)#569 48.0 (+110)#21,711
570. 27325 160.0 46.0 (+114)#570 48.0 (+112)#21,751
571. 28501 162.0 46.0 (+116)#571 48.0 (+114)#21,784
572. 28020 163.0 46.0 (+117)#572 48.0 (+115)#21,804
573. 27983 165.0 46.0 (+119)#573 48.0 (+117)#21,831
574. 28119 171.0 46.0 (+125)#574 48.0 (+123)#21,936
575. 28627 183.0 46.0 (+137)#575 48.0 (+135)#22,081
576. 28683 196.0 46.0 (+150)#576 48.0 (+148)#22,206
577. 28439 202.0 46.0 (+156)#577 48.0 (+154)#22,282
578. 28430 209.0 46.0 (+163)#578 48.0 (+161)#22,334
579. 28469 217.0 46.0 (+171)#579 48.0 (+169)#22,393
580. 28617 220.0 46.0 (+174)#580 48.0 (+172)#22,419
581. 28542 222.0 46.0 (+176)#581 48.0 (+174)#22,428
582. 28169 222.0 46.0 (+176)#582 48.0 (+174)#22,441
583. 27553 241.0 46.0 (+195)#583 48.0 (+193)#22,549
584. 28606 243.0 46.0 (+197)#584 48.0 (+195)#22,558
585. 28392 246.0 46.0 (+200)#585 48.0 (+198)#22,574
586. 27846 257.0 46.0 (+211)#586 48.0 (+209)#22,629
587. 28434 276.0 46.0 (+230)#587 48.0 (+228)#22,706
588. 27890 280.0 46.0 (+234)#588 48.0 (+232)#22,719
589. 27853 292.0 46.0 (+246)#589 48.0 (+244)#22,762
590. 28665 307.0 46.0 (+261)#590 48.0 (+259)#22,805
591. 28375 333.0 46.0 (+287)#591 48.0 (+285)#22,874
592. 28702 364.0 46.0 (+318)#592 48.0 (+316)#22,933
593. 27820 383.0 46.0 (+337)#593 48.0 (+335)#22,970
594. 27897 390.0 46.0 (+344)#594 48.0 (+342)#22,982
595. 27972 489.0 46.0 (+443)#595 48.0 (+441)#23,075
596. 28663 547.0 46.0 (+501)#596 48.0 (+499)#23,119
597. 28447 1,000.0 46.0 (+954)#597 48.0 (+952)#23,202
598. 27202 1,000.0 46.0 (+954)#598 48.0 (+952)#23,238