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

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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
Tennessee
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Tennessee

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

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

Zip Code Births / 1,000 Women vs State vs National
1.382261,000.053.0(+947)#153.0(+947)#18
2.38569375.053.0(+322)#253.0(+322)#290
3.37059373.053.0(+320)#353.0(+320)#300
4.37318298.053.0(+245)#453.0(+245)#461
5.38471286.053.0(+233)#553.0(+233)#503
6.37691275.053.0(+222)#653.0(+222)#545
7.37729268.053.0(+215)#753.0(+215)#569
8.37028250.053.0(+197)#853.0(+197)#649
9.38459243.053.0(+190)#953.0(+190)#700
10.37175239.053.0(+186)#1053.0(+186)#721
11.38573231.053.0(+178)#1153.0(+178)#762
12.38368228.053.0(+175)#1253.0(+175)#784
13.37680225.053.0(+172)#1353.0(+172)#805
14.38328221.053.0(+168)#1453.0(+168)#835
15.38050203.053.0(+150)#1553.0(+150)#951
16.38374195.053.0(+142)#1653.0(+142)#1,037
17.37369192.053.0(+139)#1753.0(+139)#1,076
18.37762186.053.0(+133)#1853.0(+133)#1,145
19.38541176.053.0(+123)#1953.0(+123)#1,265
20.38352172.053.0(+119)#2053.0(+119)#1,334
21.38362171.053.0(+118)#2153.0(+118)#1,352
22.37331170.053.0(+117)#2253.0(+117)#1,361
23.38380167.053.0(+114)#2353.0(+114)#1,437
24.37032165.053.0(+112)#2453.0(+112)#1,467
25.38579153.053.0(+100.0)#2553.0(+100.0)#1,687
26.38375145.053.0(+92.0)#2653.0(+92.0)#1,851
27.38565143.053.0(+90.0)#2753.0(+90.0)#1,920
28.37101139.053.0(+86.0)#2853.0(+86.0)#2,016
29.37879136.053.0(+83.0)#2953.0(+83.0)#2,110
30.38108134.053.0(+81.0)#3053.0(+81.0)#2,186
31.38425134.053.0(+81.0)#3153.0(+81.0)#2,193
32.37380133.053.0(+80.0)#3253.0(+80.0)#2,218
33.37657133.053.0(+80.0)#3353.0(+80.0)#2,237
34.37080130.053.0(+77.0)#3453.0(+77.0)#2,308
35.38390129.053.0(+76.0)#3553.0(+76.0)#2,371
36.37337129.053.0(+76.0)#3653.0(+76.0)#2,380
37.38580128.053.0(+75.0)#3753.0(+75.0)#2,408
38.38568127.053.0(+74.0)#3853.0(+74.0)#2,448
39.37365124.053.0(+71.0)#3953.0(+71.0)#2,576
40.37872122.053.0(+69.0)#4053.0(+69.0)#2,667
41.37376122.053.0(+69.0)#4153.0(+69.0)#2,686
42.38040121.053.0(+68.0)#4253.0(+68.0)#2,695
43.38052121.053.0(+68.0)#4353.0(+68.0)#2,699
44.37012118.053.0(+65.0)#4453.0(+65.0)#2,829
45.38558117.053.0(+64.0)#4553.0(+64.0)#2,876
46.37030116.053.0(+63.0)#4653.0(+63.0)#2,918
47.37220116.053.0(+63.0)#4753.0(+63.0)#2,921
48.38382114.053.0(+61.0)#4853.0(+61.0)#3,026
49.37709113.053.0(+60.0)#4953.0(+60.0)#3,084
50.38379113.053.0(+60.0)#5053.0(+60.0)#3,096
51.38075112.053.0(+59.0)#5153.0(+59.0)#3,130
52.37179110.053.0(+57.0)#5253.0(+57.0)#3,248
53.37118110.053.0(+57.0)#5353.0(+57.0)#3,292
54.37023109.053.0(+56.0)#5453.0(+56.0)#3,330
55.38321107.053.0(+54.0)#5553.0(+54.0)#3,452
56.38587107.053.0(+54.0)#5653.0(+54.0)#3,482
57.37035106.053.0(+53.0)#5753.0(+53.0)#3,531
58.38327105.053.0(+52.0)#5853.0(+52.0)#3,625
59.37322104.053.0(+51.0)#5953.0(+51.0)#3,649
60.38310104.053.0(+51.0)#6053.0(+51.0)#3,654
61.37410103.053.0(+50.0)#6153.0(+50.0)#3,738
62.37694103.053.0(+50.0)#6253.0(+50.0)#3,749
63.38220103.053.0(+50.0)#6353.0(+50.0)#3,751
64.37191101.053.0(+48.0)#6453.0(+48.0)#3,885
65.38482101.053.0(+48.0)#6553.0(+48.0)#3,897
66.38019100.053.0(+47.0)#6653.0(+47.0)#3,927
67.37047100.053.0(+47.0)#6753.0(+47.0)#3,963
68.3785499.053.0(+46.0)#6853.0(+46.0)#4,033
69.3836999.053.0(+46.0)#6953.0(+46.0)#4,074
70.3735398.053.0(+45.0)#7053.0(+45.0)#4,129
71.3801197.053.0(+44.0)#7153.0(+44.0)#4,204
72.3709597.053.0(+44.0)#7253.0(+44.0)#4,242
73.3766096.053.0(+43.0)#7353.0(+43.0)#4,282
74.3807996.053.0(+43.0)#7453.0(+43.0)#4,324
75.3805795.053.0(+42.0)#7553.0(+42.0)#4,422
76.3823395.053.0(+42.0)#7653.0(+42.0)#4,431
77.3776094.053.0(+41.0)#7753.0(+41.0)#4,493
78.3808093.053.0(+40.0)#7853.0(+40.0)#4,607
79.3708691.053.0(+38.0)#7953.0(+38.0)#4,744
80.3788291.053.0(+38.0)#8053.0(+38.0)#4,808
81.3712790.053.0(+37.0)#8153.0(+37.0)#4,872
82.3736690.053.0(+37.0)#8253.0(+37.0)#4,942
83.3775289.053.0(+36.0)#8353.0(+36.0)#4,993
84.3825389.053.0(+36.0)#8453.0(+36.0)#5,036
85.3721488.053.0(+35.0)#8553.0(+35.0)#5,059
86.3823788.053.0(+35.0)#8653.0(+35.0)#5,080
87.3770588.053.0(+35.0)#8753.0(+35.0)#5,100
88.3709788.053.0(+35.0)#8853.0(+35.0)#5,132
89.3705088.053.0(+35.0)#8953.0(+35.0)#5,135
90.3774886.053.0(+33.0)#9053.0(+33.0)#5,327
91.3822286.053.0(+33.0)#9153.0(+33.0)#5,378
92.3741185.053.0(+32.0)#9253.0(+32.0)#5,442
93.3792485.053.0(+32.0)#9353.0(+32.0)#5,453
94.3740485.053.0(+32.0)#9453.0(+32.0)#5,454
95.3854985.053.0(+32.0)#9553.0(+32.0)#5,490
96.3702685.053.0(+32.0)#9653.0(+32.0)#5,519
97.3834083.053.0(+30.0)#9753.0(+30.0)#5,719
98.3775783.053.0(+30.0)#9853.0(+30.0)#5,723
99.3846983.053.0(+30.0)#9953.0(+30.0)#5,748
100.3718083.053.0(+30.0)#10053.0(+30.0)#5,749

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Tennessee?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Tennessee are:
#1
1,000.0
#2
375.0
#3
373.0
#4
298.0
#5
286.0
#6
275.0
#7
268.0
#8
250.0
#9
243.0
#10
239.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in Tennessee?
38226 has the Most Births per 1,000 Women Below Poverty Level in Tennessee with 1,000.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of Tennessee?
Number of Births per 1,000 Women Below Poverty Level in Tennessee is 53.0.
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.