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

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Highest 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 Most Births per 1,000 Women Below Poverty Level in Georgia

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Georgia Map

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

Zip Code Births / 1,000 Women vs State vs National
1.305391,000.052.0(+948)#153.0(+947)#30
2.307511,000.052.0(+948)#253.0(+947)#40
3.31568484.052.0(+432)#353.0(+431)#189
4.31630447.052.0(+395)#453.0(+394)#218
5.31041323.052.0(+271)#553.0(+270)#399
6.31512290.052.0(+238)#653.0(+237)#485
7.31733286.052.0(+234)#753.0(+233)#496
8.30516258.052.0(+206)#853.0(+205)#618
9.31519248.052.0(+196)#953.0(+195)#674
10.31058230.052.0(+178)#1053.0(+177)#772
11.31743230.052.0(+178)#1153.0(+177)#774
12.31830224.052.0(+172)#1253.0(+171)#807
13.31094219.052.0(+167)#1353.0(+166)#844
14.39836213.052.0(+161)#1453.0(+160)#866
15.30629195.052.0(+143)#1553.0(+142)#1,036
16.30628193.052.0(+141)#1653.0(+140)#1,063
17.30018192.052.0(+140)#1753.0(+139)#1,082
18.30545190.052.0(+138)#1853.0(+137)#1,095
19.30520189.052.0(+137)#1953.0(+136)#1,106
20.31622184.052.0(+132)#2053.0(+131)#1,173
21.30833179.052.0(+127)#2153.0(+126)#1,225
22.31315173.052.0(+121)#2253.0(+120)#1,312
23.30285173.052.0(+121)#2353.0(+120)#1,319
24.30731171.052.0(+119)#2453.0(+118)#1,349
25.30216161.052.0(+109)#2553.0(+108)#1,534
26.30541157.052.0(+105)#2653.0(+104)#1,617
27.31563156.052.0(+104)#2753.0(+103)#1,631
28.31303154.052.0(+102)#2853.0(+101)#1,661
29.31648152.052.0(+100.0)#2953.0(+99.0)#1,711
30.30560151.052.0(+99.0)#3053.0(+98.0)#1,724
31.30564148.052.0(+96.0)#3153.0(+95.0)#1,783
32.30667148.052.0(+96.0)#3253.0(+95.0)#1,796
33.31566146.052.0(+94.0)#3353.0(+93.0)#1,831
34.30205144.052.0(+92.0)#3453.0(+91.0)#1,884
35.31054142.052.0(+90.0)#3553.0(+89.0)#1,955
36.30757140.052.0(+88.0)#3653.0(+87.0)#1,992
37.30273139.052.0(+87.0)#3753.0(+86.0)#2,013
38.30471139.052.0(+87.0)#3853.0(+86.0)#2,021
39.39841139.052.0(+87.0)#3953.0(+86.0)#2,040
40.30108137.052.0(+85.0)#4053.0(+84.0)#2,083
41.30401133.052.0(+81.0)#4153.0(+80.0)#2,212
42.31302133.052.0(+81.0)#4253.0(+80.0)#2,215
43.31905132.052.0(+80.0)#4353.0(+79.0)#2,251
44.31014130.052.0(+78.0)#4453.0(+77.0)#2,307
45.30905129.052.0(+77.0)#4553.0(+76.0)#2,357
46.30288126.052.0(+74.0)#4653.0(+73.0)#2,477
47.31532123.052.0(+71.0)#4753.0(+70.0)#2,637
48.31523122.052.0(+70.0)#4853.0(+69.0)#2,646
49.31822122.052.0(+70.0)#4953.0(+69.0)#2,655
50.30512121.052.0(+69.0)#5053.0(+68.0)#2,689
51.31320121.052.0(+69.0)#5153.0(+68.0)#2,691
52.31642121.052.0(+69.0)#5253.0(+68.0)#2,697
53.30477118.052.0(+66.0)#5353.0(+65.0)#2,823
54.30470117.052.0(+65.0)#5453.0(+64.0)#2,897
55.31816116.052.0(+64.0)#5553.0(+63.0)#2,922
56.31629113.052.0(+61.0)#5653.0(+60.0)#3,101
57.30650110.052.0(+58.0)#5753.0(+57.0)#3,251
58.30538109.052.0(+57.0)#5853.0(+56.0)#3,322
59.30805109.052.0(+57.0)#5953.0(+56.0)#3,325
60.31605108.052.0(+56.0)#6053.0(+55.0)#3,360
61.30411108.052.0(+56.0)#6153.0(+55.0)#3,389
62.31033107.052.0(+55.0)#6253.0(+54.0)#3,457
63.31312106.052.0(+54.0)#6353.0(+53.0)#3,507
64.31749106.052.0(+54.0)#6453.0(+53.0)#3,536
65.31771105.052.0(+53.0)#6553.0(+52.0)#3,587
66.30147105.052.0(+53.0)#6653.0(+52.0)#3,595
67.30646104.052.0(+52.0)#6753.0(+51.0)#3,650
68.30711102.052.0(+50.0)#6853.0(+49.0)#3,816
69.30456102.052.0(+50.0)#6953.0(+49.0)#3,834
70.3074699.052.0(+47.0)#7053.0(+46.0)#4,078
71.3023898.052.0(+46.0)#7153.0(+45.0)#4,095
72.3121098.052.0(+46.0)#7253.0(+45.0)#4,099
73.3010398.052.0(+46.0)#7353.0(+45.0)#4,109
74.3017597.052.0(+45.0)#7453.0(+44.0)#4,215
75.3052197.052.0(+45.0)#7553.0(+44.0)#4,216
76.3109696.052.0(+44.0)#7653.0(+43.0)#4,314
77.3101296.052.0(+44.0)#7753.0(+43.0)#4,346
78.3182796.052.0(+44.0)#7853.0(+43.0)#4,347
79.3002195.052.0(+43.0)#7953.0(+42.0)#4,376
80.3108995.052.0(+43.0)#8053.0(+42.0)#4,418
81.3131393.052.0(+41.0)#8153.0(+40.0)#4,563
82.3153393.052.0(+41.0)#8253.0(+40.0)#4,576
83.3055793.052.0(+41.0)#8353.0(+40.0)#4,592
84.3074292.052.0(+40.0)#8453.0(+39.0)#4,676
85.3156992.052.0(+40.0)#8553.0(+39.0)#4,687
86.3018592.052.0(+40.0)#8653.0(+39.0)#4,691
87.3150191.052.0(+39.0)#8753.0(+38.0)#4,765
88.3178891.052.0(+39.0)#8853.0(+38.0)#4,774
89.3180391.052.0(+39.0)#8953.0(+38.0)#4,786
90.3074790.052.0(+38.0)#9053.0(+37.0)#4,881
91.3055989.052.0(+37.0)#9153.0(+36.0)#4,995
92.3054789.052.0(+37.0)#9253.0(+36.0)#5,009
93.3176888.052.0(+36.0)#9353.0(+35.0)#5,070
94.3054088.052.0(+36.0)#9453.0(+35.0)#5,071
95.3081488.052.0(+36.0)#9553.0(+35.0)#5,087
96.3052887.052.0(+35.0)#9653.0(+34.0)#5,195
97.3984286.052.0(+34.0)#9753.0(+33.0)#5,348
98.3027485.052.0(+33.0)#9853.0(+32.0)#5,427
99.3104785.052.0(+33.0)#9953.0(+32.0)#5,443
100.3090185.052.0(+33.0)#10053.0(+32.0)#5,448

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Georgia?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Georgia are:
#1
1,000.0
#2
1,000.0
#3
484.0
#4
447.0
#5
323.0
#6
290.0
#7
286.0
#8
258.0
#9
248.0
#10
230.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in Georgia?
30539 has the Most Births per 1,000 Women Below Poverty Level in Georgia with 1,000.0.
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.