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
1.305391,000.047.0(+953)#148.0(+952)#28
2.31743500.047.0(+453)#248.0(+452)#162
3.31568484.047.0(+437)#348.0(+436)#181
4.31519398.047.0(+351)#448.0(+350)#265
5.31733360.047.0(+313)#548.0(+312)#326
6.30667348.047.0(+301)#648.0(+300)#348
7.31041312.047.0(+265)#748.0(+264)#441
8.30545306.047.0(+259)#848.0(+258)#452
9.31512294.047.0(+247)#948.0(+246)#485
10.30520266.047.0(+219)#1048.0(+218)#587
11.30285243.047.0(+196)#1148.0(+195)#697
12.30216203.047.0(+156)#1248.0(+155)#968
13.30629192.047.0(+145)#1348.0(+144)#1,083
14.30516186.047.0(+139)#1448.0(+138)#1,133
15.31562171.047.0(+124)#1548.0(+123)#1,319
16.30711162.047.0(+115)#1648.0(+114)#1,459
17.30288160.047.0(+113)#1748.0(+112)#1,486
18.30541157.047.0(+110)#1848.0(+109)#1,553
19.31816155.047.0(+108)#1948.0(+107)#1,588
20.39841148.047.0(+101)#2048.0(+100.0)#1,722
21.30733146.047.0(+99.0)#2148.0(+98.0)#1,765
22.30557145.047.0(+98.0)#2248.0(+97.0)#1,780
23.30628143.047.0(+96.0)#2348.0(+95.0)#1,809
24.30147142.047.0(+95.0)#2448.0(+94.0)#1,861
25.31827140.047.0(+93.0)#2548.0(+92.0)#1,901
26.30668139.047.0(+92.0)#2648.0(+91.0)#1,936
27.30731138.047.0(+91.0)#2748.0(+90.0)#1,961
28.31096136.047.0(+89.0)#2848.0(+88.0)#2,009
29.30205136.047.0(+89.0)#2948.0(+88.0)#2,018
30.31563134.047.0(+87.0)#3048.0(+86.0)#2,078
31.30401133.047.0(+86.0)#3148.0(+85.0)#2,090
32.31315130.047.0(+83.0)#3248.0(+82.0)#2,172
33.31320129.047.0(+82.0)#3348.0(+81.0)#2,206
34.31501124.047.0(+77.0)#3448.0(+76.0)#2,380
35.31822123.047.0(+76.0)#3548.0(+75.0)#2,418
36.31622122.047.0(+75.0)#3648.0(+74.0)#2,452
37.30185121.047.0(+74.0)#3748.0(+73.0)#2,483
38.31825121.047.0(+74.0)#3848.0(+73.0)#2,486
39.39886121.047.0(+74.0)#3948.0(+73.0)#2,495
40.30660121.047.0(+74.0)#4048.0(+73.0)#2,496
41.30428120.047.0(+73.0)#4148.0(+72.0)#2,519
42.31779119.047.0(+72.0)#4248.0(+71.0)#2,545
43.30646119.047.0(+72.0)#4348.0(+71.0)#2,548
44.31303119.047.0(+72.0)#4448.0(+71.0)#2,564
45.31323118.047.0(+71.0)#4548.0(+70.0)#2,604
46.30650116.047.0(+69.0)#4648.0(+68.0)#2,665
47.30564115.047.0(+68.0)#4748.0(+67.0)#2,720
48.30420114.047.0(+67.0)#4848.0(+66.0)#2,773
49.30103113.047.0(+66.0)#4948.0(+65.0)#2,794
50.30512112.047.0(+65.0)#5048.0(+64.0)#2,828
51.30108112.047.0(+65.0)#5148.0(+64.0)#2,837
52.31569112.047.0(+65.0)#5248.0(+64.0)#2,839
53.30175109.047.0(+62.0)#5348.0(+61.0)#3,002
54.31554107.047.0(+60.0)#5448.0(+59.0)#3,103
55.30663107.047.0(+60.0)#5548.0(+59.0)#3,114
56.31903106.047.0(+59.0)#5648.0(+58.0)#3,140
57.30901105.047.0(+58.0)#5748.0(+57.0)#3,184
58.30295105.047.0(+58.0)#5848.0(+57.0)#3,206
59.39870104.047.0(+57.0)#5948.0(+56.0)#3,283
60.31002102.047.0(+55.0)#6048.0(+54.0)#3,403
61.39842101.047.0(+54.0)#6148.0(+53.0)#3,445
62.30222101.047.0(+54.0)#6248.0(+53.0)#3,454
63.30540100.047.0(+53.0)#6348.0(+52.0)#3,487
64.30571100.047.0(+53.0)#6448.0(+52.0)#3,510
65.30547100.047.0(+53.0)#6548.0(+52.0)#3,511
66.3104798.047.0(+51.0)#6648.0(+50.0)#3,623
67.3101498.047.0(+51.0)#6748.0(+50.0)#3,631
68.3170196.047.0(+49.0)#6848.0(+48.0)#3,766
69.3983496.047.0(+49.0)#6948.0(+48.0)#3,800
70.3003595.047.0(+48.0)#7048.0(+47.0)#3,832
71.3029093.047.0(+46.0)#7148.0(+45.0)#3,978
72.3180393.047.0(+46.0)#7248.0(+45.0)#3,988
73.3131392.047.0(+45.0)#7348.0(+44.0)#4,030
74.3055992.047.0(+45.0)#7448.0(+44.0)#4,063
75.3053391.047.0(+44.0)#7548.0(+43.0)#4,108
76.3160591.047.0(+44.0)#7648.0(+43.0)#4,110
77.3108991.047.0(+44.0)#7748.0(+43.0)#4,142
78.3057789.047.0(+42.0)#7848.0(+41.0)#4,301
79.3152088.047.0(+41.0)#7948.0(+40.0)#4,404
80.3102288.047.0(+41.0)#8048.0(+40.0)#4,457
81.3024886.047.0(+39.0)#8148.0(+38.0)#4,589
82.3022486.047.0(+39.0)#8248.0(+38.0)#4,591
83.3152386.047.0(+39.0)#8348.0(+38.0)#4,607
84.3131285.047.0(+38.0)#8448.0(+37.0)#4,703
85.3056685.047.0(+38.0)#8548.0(+37.0)#4,732
86.3177385.047.0(+38.0)#8648.0(+37.0)#4,747
87.3045685.047.0(+38.0)#8748.0(+37.0)#4,762
88.3102585.047.0(+38.0)#8848.0(+37.0)#4,773
89.3004484.047.0(+37.0)#8948.0(+36.0)#4,787
90.3163484.047.0(+37.0)#9048.0(+36.0)#4,840
91.3120483.047.0(+36.0)#9148.0(+35.0)#4,891
92.3172083.047.0(+36.0)#9248.0(+35.0)#5,000
93.3046182.047.0(+35.0)#9348.0(+34.0)#5,024
94.3046782.047.0(+35.0)#9448.0(+34.0)#5,041
95.3156682.047.0(+35.0)#9548.0(+34.0)#5,072
96.3101282.047.0(+35.0)#9648.0(+34.0)#5,092
97.3170981.047.0(+34.0)#9748.0(+33.0)#5,162
98.3053881.047.0(+34.0)#9848.0(+33.0)#5,191
99.3107581.047.0(+34.0)#9948.0(+33.0)#5,196
100.3029780.047.0(+33.0)#10048.0(+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.