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

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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
Georgia
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Births / 1,000 Women vs State vs National
1. 30539 1,000.0 47.0 (+953)#1 48.0 (+952)#28
2. 31743 500.0 47.0 (+453)#2 48.0 (+452)#162
3. 31568 484.0 47.0 (+437)#3 48.0 (+436)#181
4. 31519 398.0 47.0 (+351)#4 48.0 (+350)#265
5. 31733 360.0 47.0 (+313)#5 48.0 (+312)#326
6. 30667 348.0 47.0 (+301)#6 48.0 (+300)#348
7. 31041 312.0 47.0 (+265)#7 48.0 (+264)#441
8. 30545 306.0 47.0 (+259)#8 48.0 (+258)#452
9. 31512 294.0 47.0 (+247)#9 48.0 (+246)#485
10. 30520 266.0 47.0 (+219)#10 48.0 (+218)#587
11. 30285 243.0 47.0 (+196)#11 48.0 (+195)#697
12. 30216 203.0 47.0 (+156)#12 48.0 (+155)#968
13. 30629 192.0 47.0 (+145)#13 48.0 (+144)#1,083
14. 30516 186.0 47.0 (+139)#14 48.0 (+138)#1,133
15. 31562 171.0 47.0 (+124)#15 48.0 (+123)#1,319
16. 30711 162.0 47.0 (+115)#16 48.0 (+114)#1,459
17. 30288 160.0 47.0 (+113)#17 48.0 (+112)#1,486
18. 30541 157.0 47.0 (+110)#18 48.0 (+109)#1,553
19. 31816 155.0 47.0 (+108)#19 48.0 (+107)#1,588
20. 39841 148.0 47.0 (+101)#20 48.0 (+100.0)#1,722
21. 30733 146.0 47.0 (+99.0)#21 48.0 (+98.0)#1,765
22. 30557 145.0 47.0 (+98.0)#22 48.0 (+97.0)#1,780
23. 30628 143.0 47.0 (+96.0)#23 48.0 (+95.0)#1,809
24. 30147 142.0 47.0 (+95.0)#24 48.0 (+94.0)#1,861
25. 31827 140.0 47.0 (+93.0)#25 48.0 (+92.0)#1,901
26. 30668 139.0 47.0 (+92.0)#26 48.0 (+91.0)#1,936
27. 30731 138.0 47.0 (+91.0)#27 48.0 (+90.0)#1,961
28. 31096 136.0 47.0 (+89.0)#28 48.0 (+88.0)#2,009
29. 30205 136.0 47.0 (+89.0)#29 48.0 (+88.0)#2,018
30. 31563 134.0 47.0 (+87.0)#30 48.0 (+86.0)#2,078
31. 30401 133.0 47.0 (+86.0)#31 48.0 (+85.0)#2,090
32. 31315 130.0 47.0 (+83.0)#32 48.0 (+82.0)#2,172
33. 31320 129.0 47.0 (+82.0)#33 48.0 (+81.0)#2,206
34. 31501 124.0 47.0 (+77.0)#34 48.0 (+76.0)#2,380
35. 31822 123.0 47.0 (+76.0)#35 48.0 (+75.0)#2,418
36. 31622 122.0 47.0 (+75.0)#36 48.0 (+74.0)#2,452
37. 30185 121.0 47.0 (+74.0)#37 48.0 (+73.0)#2,483
38. 31825 121.0 47.0 (+74.0)#38 48.0 (+73.0)#2,486
39. 39886 121.0 47.0 (+74.0)#39 48.0 (+73.0)#2,495
40. 30660 121.0 47.0 (+74.0)#40 48.0 (+73.0)#2,496
41. 30428 120.0 47.0 (+73.0)#41 48.0 (+72.0)#2,519
42. 31779 119.0 47.0 (+72.0)#42 48.0 (+71.0)#2,545
43. 30646 119.0 47.0 (+72.0)#43 48.0 (+71.0)#2,548
44. 31303 119.0 47.0 (+72.0)#44 48.0 (+71.0)#2,564
45. 31323 118.0 47.0 (+71.0)#45 48.0 (+70.0)#2,604
46. 30650 116.0 47.0 (+69.0)#46 48.0 (+68.0)#2,665
47. 30564 115.0 47.0 (+68.0)#47 48.0 (+67.0)#2,720
48. 30420 114.0 47.0 (+67.0)#48 48.0 (+66.0)#2,773
49. 30103 113.0 47.0 (+66.0)#49 48.0 (+65.0)#2,794
50. 30512 112.0 47.0 (+65.0)#50 48.0 (+64.0)#2,828
51. 30108 112.0 47.0 (+65.0)#51 48.0 (+64.0)#2,837
52. 31569 112.0 47.0 (+65.0)#52 48.0 (+64.0)#2,839
53. 30175 109.0 47.0 (+62.0)#53 48.0 (+61.0)#3,002
54. 31554 107.0 47.0 (+60.0)#54 48.0 (+59.0)#3,103
55. 30663 107.0 47.0 (+60.0)#55 48.0 (+59.0)#3,114
56. 31903 106.0 47.0 (+59.0)#56 48.0 (+58.0)#3,140
57. 30901 105.0 47.0 (+58.0)#57 48.0 (+57.0)#3,184
58. 30295 105.0 47.0 (+58.0)#58 48.0 (+57.0)#3,206
59. 39870 104.0 47.0 (+57.0)#59 48.0 (+56.0)#3,283
60. 31002 102.0 47.0 (+55.0)#60 48.0 (+54.0)#3,403
61. 39842 101.0 47.0 (+54.0)#61 48.0 (+53.0)#3,445
62. 30222 101.0 47.0 (+54.0)#62 48.0 (+53.0)#3,454
63. 30540 100.0 47.0 (+53.0)#63 48.0 (+52.0)#3,487
64. 30571 100.0 47.0 (+53.0)#64 48.0 (+52.0)#3,510
65. 30547 100.0 47.0 (+53.0)#65 48.0 (+52.0)#3,511
66. 31047 98.0 47.0 (+51.0)#66 48.0 (+50.0)#3,623
67. 31014 98.0 47.0 (+51.0)#67 48.0 (+50.0)#3,631
68. 31701 96.0 47.0 (+49.0)#68 48.0 (+48.0)#3,766
69. 39834 96.0 47.0 (+49.0)#69 48.0 (+48.0)#3,800
70. 30035 95.0 47.0 (+48.0)#70 48.0 (+47.0)#3,832
71. 30290 93.0 47.0 (+46.0)#71 48.0 (+45.0)#3,978
72. 31803 93.0 47.0 (+46.0)#72 48.0 (+45.0)#3,988
73. 31313 92.0 47.0 (+45.0)#73 48.0 (+44.0)#4,030
74. 30559 92.0 47.0 (+45.0)#74 48.0 (+44.0)#4,063
75. 30533 91.0 47.0 (+44.0)#75 48.0 (+43.0)#4,108
76. 31605 91.0 47.0 (+44.0)#76 48.0 (+43.0)#4,110
77. 31089 91.0 47.0 (+44.0)#77 48.0 (+43.0)#4,142
78. 30577 89.0 47.0 (+42.0)#78 48.0 (+41.0)#4,301
79. 31520 88.0 47.0 (+41.0)#79 48.0 (+40.0)#4,404
80. 31022 88.0 47.0 (+41.0)#80 48.0 (+40.0)#4,457
81. 30248 86.0 47.0 (+39.0)#81 48.0 (+38.0)#4,589
82. 30224 86.0 47.0 (+39.0)#82 48.0 (+38.0)#4,591
83. 31523 86.0 47.0 (+39.0)#83 48.0 (+38.0)#4,607
84. 31312 85.0 47.0 (+38.0)#84 48.0 (+37.0)#4,703
85. 30566 85.0 47.0 (+38.0)#85 48.0 (+37.0)#4,732
86. 31773 85.0 47.0 (+38.0)#86 48.0 (+37.0)#4,747
87. 30456 85.0 47.0 (+38.0)#87 48.0 (+37.0)#4,762
88. 31025 85.0 47.0 (+38.0)#88 48.0 (+37.0)#4,773
89. 30044 84.0 47.0 (+37.0)#89 48.0 (+36.0)#4,787
90. 31634 84.0 47.0 (+37.0)#90 48.0 (+36.0)#4,840
91. 31204 83.0 47.0 (+36.0)#91 48.0 (+35.0)#4,891
92. 31720 83.0 47.0 (+36.0)#92 48.0 (+35.0)#5,000
93. 30461 82.0 47.0 (+35.0)#93 48.0 (+34.0)#5,024
94. 30467 82.0 47.0 (+35.0)#94 48.0 (+34.0)#5,041
95. 31566 82.0 47.0 (+35.0)#95 48.0 (+34.0)#5,072
96. 31012 82.0 47.0 (+35.0)#96 48.0 (+34.0)#5,092
97. 31709 81.0 47.0 (+34.0)#97 48.0 (+33.0)#5,162
98. 30538 81.0 47.0 (+34.0)#98 48.0 (+33.0)#5,191
99. 31075 81.0 47.0 (+34.0)#99 48.0 (+33.0)#5,196
100. 30297 80.0 47.0 (+33.0)#100 48.0 (+32.0)#5,249

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Georgia?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Georgia are:
#1
1,000.0
#2
500.0
#3
484.0
#4
398.0
#5
360.0
#6
348.0
#7
312.0
#8
306.0
#9
294.0
#10
266.0
What zip code has the Most Births per 1,000 Women in Labor Force in Georgia?
30539 has the Most Births per 1,000 Women in Labor Force in Georgia with 1,000.0.
What is the Number of Births per 1,000 Women in Labor Force in the State of Georgia?
Number of Births per 1,000 Women in Labor Force in Georgia 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.