Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Georgia

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Lowest Birth Rate | Below Poverty
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 Fewest Births per 1,000 Women Below Poverty Level in Georgia

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Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Georgia Map

Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Georgia

Zip Code Births / 1,000 Women vs State vs National
1.301822.052.0(-50.0)#153.0(-51.0)#27
2.318052.052.0(-50.0)#253.0(-51.0)#39
3.300133.052.0(-49.0)#353.0(-50.0)#41
4.303033.052.0(-49.0)#453.0(-50.0)#52
5.317783.052.0(-49.0)#553.0(-50.0)#71
6.310653.052.0(-49.0)#653.0(-50.0)#81
7.310274.052.0(-48.0)#753.0(-49.0)#86
8.306694.052.0(-48.0)#853.0(-49.0)#113
9.306425.052.0(-47.0)#953.0(-48.0)#142
10.305675.052.0(-47.0)#1053.0(-48.0)#157
11.317165.052.0(-47.0)#1153.0(-48.0)#170
12.315605.052.0(-47.0)#1253.0(-48.0)#173
13.315495.052.0(-47.0)#1353.0(-48.0)#186
14.316316.052.0(-46.0)#1453.0(-47.0)#278
15.398407.052.0(-45.0)#1553.0(-46.0)#298
16.310447.052.0(-45.0)#1653.0(-46.0)#318
17.305757.052.0(-45.0)#1753.0(-46.0)#325
18.310977.052.0(-45.0)#1853.0(-46.0)#336
19.310717.052.0(-45.0)#1953.0(-46.0)#337
20.307388.052.0(-44.0)#2053.0(-45.0)#393
21.308238.052.0(-44.0)#2153.0(-45.0)#418
22.300559.052.0(-43.0)#2253.0(-44.0)#503
23.308169.052.0(-43.0)#2353.0(-44.0)#527
24.310609.052.0(-43.0)#2453.0(-44.0)#532
25.310909.052.0(-43.0)#2553.0(-44.0)#542
26.3030810.052.0(-42.0)#2653.0(-43.0)#588
27.3053110.052.0(-42.0)#2753.0(-43.0)#599
28.3032610.052.0(-42.0)#2853.0(-43.0)#602
29.3005610.052.0(-42.0)#2953.0(-43.0)#642
30.3981310.052.0(-42.0)#3053.0(-43.0)#649
31.3171110.052.0(-42.0)#3153.0(-43.0)#681
32.3017812.052.0(-40.0)#3253.0(-41.0)#900
33.3073012.052.0(-40.0)#3353.0(-41.0)#932
34.3101913.052.0(-39.0)#3453.0(-40.0)#1,057
35.3101813.052.0(-39.0)#3553.0(-40.0)#1,062
36.3045715.052.0(-37.0)#3653.0(-38.0)#1,350
37.3130515.052.0(-37.0)#3753.0(-38.0)#1,355
38.3010616.052.0(-36.0)#3853.0(-37.0)#1,485
39.3043916.052.0(-36.0)#3953.0(-37.0)#1,506
40.3173816.052.0(-36.0)#4053.0(-37.0)#1,572
41.3153917.052.0(-35.0)#4153.0(-36.0)#1,676
42.3080217.052.0(-35.0)#4253.0(-36.0)#1,708
43.3056317.052.0(-35.0)#4353.0(-36.0)#1,711
44.3180617.052.0(-35.0)#4453.0(-36.0)#1,725
45.3080817.052.0(-35.0)#4553.0(-36.0)#1,726
46.3018318.052.0(-34.0)#4653.0(-35.0)#1,880
47.3190118.052.0(-34.0)#4753.0(-35.0)#1,887
48.3042118.052.0(-34.0)#4853.0(-35.0)#1,921
49.3017118.052.0(-34.0)#4953.0(-35.0)#1,928
50.3073619.052.0(-33.0)#5053.0(-34.0)#2,003
51.3154619.052.0(-33.0)#5153.0(-34.0)#2,063
52.3072519.052.0(-33.0)#5253.0(-34.0)#2,092
53.3179019.052.0(-33.0)#5353.0(-34.0)#2,128
54.3034220.052.0(-32.0)#5453.0(-33.0)#2,204
55.3030920.052.0(-32.0)#5553.0(-33.0)#2,208
56.3060720.052.0(-32.0)#5653.0(-33.0)#2,250
57.3130820.052.0(-32.0)#5753.0(-33.0)#2,257
58.3107820.052.0(-32.0)#5853.0(-33.0)#2,321
59.3025620.052.0(-32.0)#5953.0(-33.0)#2,326
60.3081020.052.0(-32.0)#6053.0(-33.0)#2,340
61.3029320.052.0(-32.0)#6153.0(-33.0)#2,349
62.3178320.052.0(-32.0)#6253.0(-33.0)#2,362
63.3053720.052.0(-32.0)#6353.0(-33.0)#2,374
64.3044221.052.0(-31.0)#6453.0(-32.0)#2,503
65.3107621.052.0(-31.0)#6553.0(-32.0)#2,572
66.3042722.052.0(-30.0)#6653.0(-31.0)#2,717
67.3164322.052.0(-30.0)#6753.0(-31.0)#2,727
68.3130122.052.0(-30.0)#6853.0(-31.0)#2,775
69.3047322.052.0(-30.0)#6953.0(-31.0)#2,792
70.3107022.052.0(-30.0)#7053.0(-31.0)#2,862
71.3025223.052.0(-29.0)#7153.0(-30.0)#2,905
72.3031223.052.0(-29.0)#7253.0(-30.0)#2,932
73.3141123.052.0(-29.0)#7353.0(-30.0)#2,988
74.3173023.052.0(-29.0)#7453.0(-30.0)#2,997
75.3163523.052.0(-29.0)#7553.0(-30.0)#3,008
76.3057623.052.0(-29.0)#7653.0(-30.0)#3,058
77.3055824.052.0(-28.0)#7753.0(-29.0)#3,266
78.3160624.052.0(-28.0)#7853.0(-29.0)#3,280
79.3045024.052.0(-28.0)#7953.0(-29.0)#3,314
80.3178024.052.0(-28.0)#8053.0(-29.0)#3,330
81.3100724.052.0(-28.0)#8153.0(-29.0)#3,364
82.3026525.052.0(-27.0)#8253.0(-28.0)#3,403
83.3009225.052.0(-27.0)#8353.0(-28.0)#3,406
84.3032425.052.0(-27.0)#8453.0(-28.0)#3,417
85.3032725.052.0(-27.0)#8553.0(-28.0)#3,445
86.3075225.052.0(-27.0)#8653.0(-28.0)#3,508
87.3053025.052.0(-27.0)#8753.0(-28.0)#3,517
88.3985925.052.0(-27.0)#8853.0(-28.0)#3,640
89.3152226.052.0(-26.0)#8953.0(-27.0)#3,729
90.3035426.052.0(-26.0)#9053.0(-27.0)#3,735
91.3108226.052.0(-26.0)#9153.0(-27.0)#3,758
92.3011326.052.0(-26.0)#9253.0(-27.0)#3,780
93.3025826.052.0(-26.0)#9353.0(-27.0)#3,824
94.3982526.052.0(-26.0)#9453.0(-27.0)#3,844
95.3009727.052.0(-25.0)#9553.0(-26.0)#3,929
96.3033927.052.0(-25.0)#9653.0(-26.0)#3,941
97.3132227.052.0(-25.0)#9753.0(-26.0)#3,956
98.3028627.052.0(-25.0)#9853.0(-26.0)#3,966
99.3017927.052.0(-25.0)#9953.0(-26.0)#3,986
100.3107927.052.0(-25.0)#10053.0(-26.0)#4,097

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Georgia?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Georgia are:
#1
2.0
#2
2.0
#3
3.0
#4
3.0
#5
3.0
#6
3.0
#7
4.0
#8
4.0
#9
5.0
#10
5.0
What zip code has the Fewest Births per 1,000 Women Below Poverty Level in Georgia?
30182 has the Fewest Births per 1,000 Women Below Poverty Level in Georgia with 2.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of Georgia?
Number of Births per 1,000 Women Below Poverty Level in Georgia is 52.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the United States?
Number of Births per 1,000 Women Below Poverty Level in the United States is 53.0.