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. 38226 1,000.0 53.0 (+947)#1 53.0 (+947)#18
2. 38569 375.0 53.0 (+322)#2 53.0 (+322)#290
3. 37059 373.0 53.0 (+320)#3 53.0 (+320)#300
4. 37318 298.0 53.0 (+245)#4 53.0 (+245)#461
5. 38471 286.0 53.0 (+233)#5 53.0 (+233)#503
6. 37691 275.0 53.0 (+222)#6 53.0 (+222)#545
7. 37729 268.0 53.0 (+215)#7 53.0 (+215)#569
8. 37028 250.0 53.0 (+197)#8 53.0 (+197)#649
9. 38459 243.0 53.0 (+190)#9 53.0 (+190)#700
10. 37175 239.0 53.0 (+186)#10 53.0 (+186)#721
11. 38573 231.0 53.0 (+178)#11 53.0 (+178)#762
12. 38368 228.0 53.0 (+175)#12 53.0 (+175)#784
13. 37680 225.0 53.0 (+172)#13 53.0 (+172)#805
14. 38328 221.0 53.0 (+168)#14 53.0 (+168)#835
15. 38050 203.0 53.0 (+150)#15 53.0 (+150)#951
16. 38374 195.0 53.0 (+142)#16 53.0 (+142)#1,037
17. 37369 192.0 53.0 (+139)#17 53.0 (+139)#1,076
18. 37762 186.0 53.0 (+133)#18 53.0 (+133)#1,145
19. 38541 176.0 53.0 (+123)#19 53.0 (+123)#1,265
20. 38352 172.0 53.0 (+119)#20 53.0 (+119)#1,334
21. 38362 171.0 53.0 (+118)#21 53.0 (+118)#1,352
22. 37331 170.0 53.0 (+117)#22 53.0 (+117)#1,361
23. 38380 167.0 53.0 (+114)#23 53.0 (+114)#1,437
24. 37032 165.0 53.0 (+112)#24 53.0 (+112)#1,467
25. 38579 153.0 53.0 (+100.0)#25 53.0 (+100.0)#1,687
26. 38375 145.0 53.0 (+92.0)#26 53.0 (+92.0)#1,851
27. 38565 143.0 53.0 (+90.0)#27 53.0 (+90.0)#1,920
28. 37101 139.0 53.0 (+86.0)#28 53.0 (+86.0)#2,016
29. 37879 136.0 53.0 (+83.0)#29 53.0 (+83.0)#2,110
30. 38108 134.0 53.0 (+81.0)#30 53.0 (+81.0)#2,186
31. 38425 134.0 53.0 (+81.0)#31 53.0 (+81.0)#2,193
32. 37380 133.0 53.0 (+80.0)#32 53.0 (+80.0)#2,218
33. 37657 133.0 53.0 (+80.0)#33 53.0 (+80.0)#2,237
34. 37080 130.0 53.0 (+77.0)#34 53.0 (+77.0)#2,308
35. 38390 129.0 53.0 (+76.0)#35 53.0 (+76.0)#2,371
36. 37337 129.0 53.0 (+76.0)#36 53.0 (+76.0)#2,380
37. 38580 128.0 53.0 (+75.0)#37 53.0 (+75.0)#2,408
38. 38568 127.0 53.0 (+74.0)#38 53.0 (+74.0)#2,448
39. 37365 124.0 53.0 (+71.0)#39 53.0 (+71.0)#2,576
40. 37872 122.0 53.0 (+69.0)#40 53.0 (+69.0)#2,667
41. 37376 122.0 53.0 (+69.0)#41 53.0 (+69.0)#2,686
42. 38040 121.0 53.0 (+68.0)#42 53.0 (+68.0)#2,695
43. 38052 121.0 53.0 (+68.0)#43 53.0 (+68.0)#2,699
44. 37012 118.0 53.0 (+65.0)#44 53.0 (+65.0)#2,829
45. 38558 117.0 53.0 (+64.0)#45 53.0 (+64.0)#2,876
46. 37030 116.0 53.0 (+63.0)#46 53.0 (+63.0)#2,918
47. 37220 116.0 53.0 (+63.0)#47 53.0 (+63.0)#2,921
48. 38382 114.0 53.0 (+61.0)#48 53.0 (+61.0)#3,026
49. 37709 113.0 53.0 (+60.0)#49 53.0 (+60.0)#3,084
50. 38379 113.0 53.0 (+60.0)#50 53.0 (+60.0)#3,096
51. 38075 112.0 53.0 (+59.0)#51 53.0 (+59.0)#3,130
52. 37179 110.0 53.0 (+57.0)#52 53.0 (+57.0)#3,248
53. 37118 110.0 53.0 (+57.0)#53 53.0 (+57.0)#3,292
54. 37023 109.0 53.0 (+56.0)#54 53.0 (+56.0)#3,330
55. 38321 107.0 53.0 (+54.0)#55 53.0 (+54.0)#3,452
56. 38587 107.0 53.0 (+54.0)#56 53.0 (+54.0)#3,482
57. 37035 106.0 53.0 (+53.0)#57 53.0 (+53.0)#3,531
58. 38327 105.0 53.0 (+52.0)#58 53.0 (+52.0)#3,625
59. 37322 104.0 53.0 (+51.0)#59 53.0 (+51.0)#3,649
60. 38310 104.0 53.0 (+51.0)#60 53.0 (+51.0)#3,654
61. 37410 103.0 53.0 (+50.0)#61 53.0 (+50.0)#3,738
62. 37694 103.0 53.0 (+50.0)#62 53.0 (+50.0)#3,749
63. 38220 103.0 53.0 (+50.0)#63 53.0 (+50.0)#3,751
64. 37191 101.0 53.0 (+48.0)#64 53.0 (+48.0)#3,885
65. 38482 101.0 53.0 (+48.0)#65 53.0 (+48.0)#3,897
66. 38019 100.0 53.0 (+47.0)#66 53.0 (+47.0)#3,927
67. 37047 100.0 53.0 (+47.0)#67 53.0 (+47.0)#3,963
68. 37854 99.0 53.0 (+46.0)#68 53.0 (+46.0)#4,033
69. 38369 99.0 53.0 (+46.0)#69 53.0 (+46.0)#4,074
70. 37353 98.0 53.0 (+45.0)#70 53.0 (+45.0)#4,129
71. 38011 97.0 53.0 (+44.0)#71 53.0 (+44.0)#4,204
72. 37095 97.0 53.0 (+44.0)#72 53.0 (+44.0)#4,242
73. 37660 96.0 53.0 (+43.0)#73 53.0 (+43.0)#4,282
74. 38079 96.0 53.0 (+43.0)#74 53.0 (+43.0)#4,324
75. 38057 95.0 53.0 (+42.0)#75 53.0 (+42.0)#4,422
76. 38233 95.0 53.0 (+42.0)#76 53.0 (+42.0)#4,431
77. 37760 94.0 53.0 (+41.0)#77 53.0 (+41.0)#4,493
78. 38080 93.0 53.0 (+40.0)#78 53.0 (+40.0)#4,607
79. 37086 91.0 53.0 (+38.0)#79 53.0 (+38.0)#4,744
80. 37882 91.0 53.0 (+38.0)#80 53.0 (+38.0)#4,808
81. 37127 90.0 53.0 (+37.0)#81 53.0 (+37.0)#4,872
82. 37366 90.0 53.0 (+37.0)#82 53.0 (+37.0)#4,942
83. 37752 89.0 53.0 (+36.0)#83 53.0 (+36.0)#4,993
84. 38253 89.0 53.0 (+36.0)#84 53.0 (+36.0)#5,036
85. 37214 88.0 53.0 (+35.0)#85 53.0 (+35.0)#5,059
86. 38237 88.0 53.0 (+35.0)#86 53.0 (+35.0)#5,080
87. 37705 88.0 53.0 (+35.0)#87 53.0 (+35.0)#5,100
88. 37097 88.0 53.0 (+35.0)#88 53.0 (+35.0)#5,132
89. 37050 88.0 53.0 (+35.0)#89 53.0 (+35.0)#5,135
90. 37748 86.0 53.0 (+33.0)#90 53.0 (+33.0)#5,327
91. 38222 86.0 53.0 (+33.0)#91 53.0 (+33.0)#5,378
92. 37411 85.0 53.0 (+32.0)#92 53.0 (+32.0)#5,442
93. 37924 85.0 53.0 (+32.0)#93 53.0 (+32.0)#5,453
94. 37404 85.0 53.0 (+32.0)#94 53.0 (+32.0)#5,454
95. 38549 85.0 53.0 (+32.0)#95 53.0 (+32.0)#5,490
96. 37026 85.0 53.0 (+32.0)#96 53.0 (+32.0)#5,519
97. 38340 83.0 53.0 (+30.0)#97 53.0 (+30.0)#5,719
98. 37757 83.0 53.0 (+30.0)#98 53.0 (+30.0)#5,723
99. 38469 83.0 53.0 (+30.0)#99 53.0 (+30.0)#5,748
100. 37180 83.0 53.0 (+30.0)#100 53.0 (+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.