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

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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
Georgia
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Births / 1,000 Women vs State vs National
1.300132.047.0(-45.0)#148.0(-46.0)#13
2.310632.047.0(-45.0)#248.0(-46.0)#26
3.301833.047.0(-44.0)#348.0(-45.0)#61
4.303033.047.0(-44.0)#448.0(-45.0)#65
5.317753.047.0(-44.0)#548.0(-45.0)#79
6.318053.047.0(-44.0)#648.0(-45.0)#86
7.315464.047.0(-43.0)#748.0(-44.0)#108
8.317785.047.0(-42.0)#848.0(-43.0)#214
9.310656.047.0(-41.0)#948.0(-42.0)#298
10.303097.047.0(-40.0)#1048.0(-41.0)#313
11.310277.047.0(-40.0)#1148.0(-41.0)#332
12.319017.047.0(-40.0)#1248.0(-41.0)#352
13.300128.047.0(-39.0)#1348.0(-40.0)#411
14.306428.047.0(-39.0)#1448.0(-40.0)#427
15.305258.047.0(-39.0)#1548.0(-40.0)#452
16.305678.047.0(-39.0)#1648.0(-40.0)#477
17.308088.047.0(-39.0)#1748.0(-40.0)#485
18.300558.047.0(-39.0)#1848.0(-40.0)#491
19.305759.047.0(-38.0)#1948.0(-39.0)#639
20.310979.047.0(-38.0)#2048.0(-39.0)#653
21.310719.047.0(-38.0)#2148.0(-39.0)#654
22.3030810.047.0(-37.0)#2248.0(-38.0)#683
23.3981910.047.0(-37.0)#2348.0(-38.0)#708
24.3164510.047.0(-37.0)#2448.0(-38.0)#758
25.3107910.047.0(-37.0)#2548.0(-38.0)#777
26.3156010.047.0(-37.0)#2648.0(-38.0)#780
27.3001711.047.0(-36.0)#2748.0(-37.0)#837
28.3180111.047.0(-36.0)#2848.0(-37.0)#941
29.3106011.047.0(-36.0)#2948.0(-37.0)#956
30.3154911.047.0(-36.0)#3048.0(-37.0)#962
31.3073612.047.0(-35.0)#3148.0(-36.0)#996
32.3982312.047.0(-35.0)#3248.0(-36.0)#1,051
33.3080212.047.0(-35.0)#3348.0(-36.0)#1,069
34.3058212.047.0(-35.0)#3448.0(-36.0)#1,082
35.3073812.047.0(-35.0)#3548.0(-36.0)#1,096
36.3165012.047.0(-35.0)#3648.0(-36.0)#1,098
37.3027713.047.0(-34.0)#3748.0(-35.0)#1,177
38.3081413.047.0(-34.0)#3848.0(-35.0)#1,220
39.3053513.047.0(-34.0)#3948.0(-35.0)#1,228
40.3055813.047.0(-34.0)#4048.0(-35.0)#1,257
41.3154313.047.0(-34.0)#4148.0(-35.0)#1,266
42.3005613.047.0(-34.0)#4248.0(-35.0)#1,301
43.3074114.047.0(-33.0)#4348.0(-34.0)#1,357
44.3072514.047.0(-33.0)#4448.0(-34.0)#1,439
45.3163114.047.0(-33.0)#4548.0(-34.0)#1,528
46.3009215.047.0(-32.0)#4648.0(-33.0)#1,542
47.3053115.047.0(-32.0)#4748.0(-33.0)#1,585
48.3180415.047.0(-32.0)#4848.0(-33.0)#1,623
49.3081615.047.0(-32.0)#4948.0(-33.0)#1,680
50.3000516.047.0(-31.0)#5048.0(-32.0)#1,734
51.3017916.047.0(-31.0)#5148.0(-32.0)#1,771
52.3101916.047.0(-31.0)#5248.0(-32.0)#1,864
53.3026517.047.0(-30.0)#5348.0(-31.0)#1,934
54.3028617.047.0(-30.0)#5448.0(-31.0)#1,952
55.3053017.047.0(-30.0)#5548.0(-31.0)#2,000
56.3109817.047.0(-30.0)#5648.0(-31.0)#2,035
57.3108517.047.0(-30.0)#5748.0(-31.0)#2,085
58.3151618.047.0(-29.0)#5848.0(-30.0)#2,172
59.3102318.047.0(-29.0)#5948.0(-30.0)#2,177
60.3101818.047.0(-29.0)#6048.0(-30.0)#2,253
61.3045018.047.0(-29.0)#6148.0(-30.0)#2,268
62.3012219.047.0(-28.0)#6248.0(-29.0)#2,347
63.3179319.047.0(-28.0)#6348.0(-29.0)#2,413
64.3130819.047.0(-28.0)#6448.0(-29.0)#2,418
65.3066219.047.0(-28.0)#6548.0(-29.0)#2,421
66.3001120.047.0(-27.0)#6648.0(-28.0)#2,595
67.3130520.047.0(-27.0)#6748.0(-28.0)#2,692
68.3106820.047.0(-27.0)#6848.0(-28.0)#2,700
69.3034221.047.0(-26.0)#6948.0(-27.0)#2,822
70.3010621.047.0(-26.0)#7048.0(-27.0)#2,846
71.3190621.047.0(-26.0)#7148.0(-27.0)#2,863
72.3141121.047.0(-26.0)#7248.0(-27.0)#2,914
73.3176521.047.0(-26.0)#7348.0(-27.0)#2,993
74.3053721.047.0(-26.0)#7448.0(-27.0)#3,032
75.3033122.047.0(-25.0)#7548.0(-26.0)#3,061
76.3006722.047.0(-25.0)#7648.0(-26.0)#3,070
77.3014322.047.0(-25.0)#7748.0(-26.0)#3,101
78.3060722.047.0(-25.0)#7848.0(-26.0)#3,162
79.3014522.047.0(-25.0)#7948.0(-26.0)#3,167
80.3075322.047.0(-25.0)#8048.0(-26.0)#3,172
81.3055322.047.0(-25.0)#8148.0(-26.0)#3,173
82.3073422.047.0(-25.0)#8248.0(-26.0)#3,231
83.3031223.047.0(-24.0)#8348.0(-25.0)#3,353
84.3154523.047.0(-24.0)#8448.0(-25.0)#3,397
85.3177123.047.0(-24.0)#8548.0(-25.0)#3,439
86.3011323.047.0(-24.0)#8648.0(-25.0)#3,456
87.3007923.047.0(-24.0)#8748.0(-25.0)#3,474
88.3044623.047.0(-24.0)#8848.0(-25.0)#3,523
89.3034124.047.0(-23.0)#8948.0(-24.0)#3,607
90.3000924.047.0(-23.0)#9048.0(-24.0)#3,649
91.3042724.047.0(-23.0)#9148.0(-24.0)#3,690
92.3043924.047.0(-23.0)#9248.0(-24.0)#3,698
93.3173024.047.0(-23.0)#9348.0(-24.0)#3,717
94.3041524.047.0(-23.0)#9448.0(-24.0)#3,741
95.3109224.047.0(-23.0)#9548.0(-24.0)#3,754
96.3017124.047.0(-23.0)#9648.0(-24.0)#3,784
97.3183024.047.0(-23.0)#9748.0(-24.0)#3,791
98.3025225.047.0(-22.0)#9848.0(-23.0)#3,870
99.3009725.047.0(-22.0)#9948.0(-23.0)#3,872
100.3005425.047.0(-22.0)#10048.0(-23.0)#3,983

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Georgia?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force 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
5.0
#9
6.0
#10
7.0
What zip code has the Lowest Births per 1,000 Women in Labor Force in Georgia?
30013 has the Lowest Births per 1,000 Women in Labor Force in Georgia with 2.0.
What is the Number Births per 1,000 Women in Labor Force in the State of Georgia?
Number Births per 1,000 Women in Labor Force in Georgia is 47.0.
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.