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

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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
Tennessee
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Comparison Subject

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

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

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

Zip Code Births / 1,000 Women vs State vs National
1. 37737 1.0 53.0 (-52.0)#1 53.0 (-52.0)#4
2. 37738 1.0 53.0 (-52.0)#2 53.0 (-52.0)#5
3. 38355 3.0 53.0 (-50.0)#3 53.0 (-50.0)#49
4. 37756 4.0 53.0 (-49.0)#4 53.0 (-49.0)#111
5. 38559 4.0 53.0 (-49.0)#5 53.0 (-49.0)#128
6. 37031 5.0 53.0 (-48.0)#6 53.0 (-48.0)#160
7. 37051 5.0 53.0 (-48.0)#7 53.0 (-48.0)#163
8. 38232 6.0 53.0 (-47.0)#8 53.0 (-47.0)#249
9. 37178 6.0 53.0 (-47.0)#9 53.0 (-47.0)#252
10. 38367 7.0 53.0 (-46.0)#10 53.0 (-46.0)#316
11. 37769 9.0 53.0 (-44.0)#11 53.0 (-44.0)#487
12. 37853 9.0 53.0 (-44.0)#12 53.0 (-44.0)#506
13. 37829 9.0 53.0 (-44.0)#13 53.0 (-44.0)#530
14. 38329 10.0 53.0 (-43.0)#14 53.0 (-43.0)#631
15. 38370 10.0 53.0 (-43.0)#15 53.0 (-43.0)#677
16. 38049 11.0 53.0 (-42.0)#16 53.0 (-42.0)#756
17. 37360 11.0 53.0 (-42.0)#17 53.0 (-42.0)#784
18. 38259 11.0 53.0 (-42.0)#18 53.0 (-42.0)#820
19. 37208 12.0 53.0 (-41.0)#19 53.0 (-41.0)#840
20. 37711 12.0 53.0 (-41.0)#20 53.0 (-41.0)#887
21. 37938 13.0 53.0 (-40.0)#21 53.0 (-40.0)#984
22. 37419 13.0 53.0 (-40.0)#22 53.0 (-40.0)#1,020
23. 37412 14.0 53.0 (-39.0)#23 53.0 (-39.0)#1,134
24. 37184 14.0 53.0 (-39.0)#24 53.0 (-39.0)#1,167
25. 38251 14.0 53.0 (-39.0)#25 53.0 (-39.0)#1,197
26. 37373 14.0 53.0 (-39.0)#26 53.0 (-39.0)#1,199
27. 37212 15.0 53.0 (-38.0)#27 53.0 (-38.0)#1,299
28. 37722 15.0 53.0 (-38.0)#28 53.0 (-38.0)#1,328
29. 37409 15.0 53.0 (-38.0)#29 53.0 (-38.0)#1,368
30. 37770 15.0 53.0 (-38.0)#30 53.0 (-38.0)#1,388
31. 37724 15.0 53.0 (-38.0)#31 53.0 (-38.0)#1,391
32. 37771 16.0 53.0 (-37.0)#32 53.0 (-37.0)#1,492
33. 37650 16.0 53.0 (-37.0)#33 53.0 (-37.0)#1,500
34. 38474 16.0 53.0 (-37.0)#34 53.0 (-37.0)#1,514
35. 37375 16.0 53.0 (-37.0)#35 53.0 (-37.0)#1,552
36. 38034 16.0 53.0 (-37.0)#36 53.0 (-37.0)#1,562
37. 38560 16.0 53.0 (-37.0)#37 53.0 (-37.0)#1,599
38. 37181 16.0 53.0 (-37.0)#38 53.0 (-37.0)#1,602
39. 37617 17.0 53.0 (-36.0)#39 53.0 (-36.0)#1,675
40. 37887 17.0 53.0 (-36.0)#40 53.0 (-36.0)#1,707
41. 37742 17.0 53.0 (-36.0)#41 53.0 (-36.0)#1,709
42. 37891 17.0 53.0 (-36.0)#42 53.0 (-36.0)#1,733
43. 37865 18.0 53.0 (-35.0)#43 53.0 (-35.0)#1,823
44. 37189 18.0 53.0 (-35.0)#44 53.0 (-35.0)#1,900
45. 38221 18.0 53.0 (-35.0)#45 53.0 (-35.0)#1,917
46. 37806 18.0 53.0 (-35.0)#46 53.0 (-35.0)#1,920
47. 38472 18.0 53.0 (-35.0)#47 53.0 (-35.0)#1,931
48. 37313 18.0 53.0 (-35.0)#48 53.0 (-35.0)#1,963
49. 37743 19.0 53.0 (-34.0)#49 53.0 (-34.0)#2,016
50. 37821 19.0 53.0 (-34.0)#50 53.0 (-34.0)#2,021
51. 37166 19.0 53.0 (-34.0)#51 53.0 (-34.0)#2,044
52. 37885 19.0 53.0 (-34.0)#52 53.0 (-34.0)#2,082
53. 38225 19.0 53.0 (-34.0)#53 53.0 (-34.0)#2,084
54. 37870 19.0 53.0 (-34.0)#54 53.0 (-34.0)#2,106
55. 37141 19.0 53.0 (-34.0)#55 53.0 (-34.0)#2,143
56. 37082 20.0 53.0 (-33.0)#56 53.0 (-33.0)#2,278
57. 38257 20.0 53.0 (-33.0)#57 53.0 (-33.0)#2,296
58. 37143 20.0 53.0 (-33.0)#58 53.0 (-33.0)#2,301
59. 38343 21.0 53.0 (-32.0)#59 53.0 (-32.0)#2,471
60. 37385 21.0 53.0 (-32.0)#60 53.0 (-32.0)#2,501
61. 37307 21.0 53.0 (-32.0)#61 53.0 (-32.0)#2,536
62. 38230 21.0 53.0 (-32.0)#62 53.0 (-32.0)#2,552
63. 38356 21.0 53.0 (-32.0)#63 53.0 (-32.0)#2,568
64. 37764 22.0 53.0 (-31.0)#64 53.0 (-31.0)#2,721
65. 37801 23.0 53.0 (-30.0)#65 53.0 (-30.0)#2,930
66. 37069 23.0 53.0 (-30.0)#66 53.0 (-30.0)#2,947
67. 38004 23.0 53.0 (-30.0)#67 53.0 (-30.0)#2,976
68. 38485 23.0 53.0 (-30.0)#68 53.0 (-30.0)#3,016
69. 37869 23.0 53.0 (-30.0)#69 53.0 (-30.0)#3,028
70. 37144 23.0 53.0 (-30.0)#70 53.0 (-30.0)#3,057
71. 37355 24.0 53.0 (-29.0)#71 53.0 (-29.0)#3,166
72. 37098 24.0 53.0 (-29.0)#72 53.0 (-29.0)#3,255
73. 37324 24.0 53.0 (-29.0)#73 53.0 (-29.0)#3,270
74. 37203 25.0 53.0 (-28.0)#74 53.0 (-28.0)#3,461
75. 38478 25.0 53.0 (-28.0)#75 53.0 (-28.0)#3,462
76. 38483 25.0 53.0 (-28.0)#76 53.0 (-28.0)#3,527
77. 37302 25.0 53.0 (-28.0)#77 53.0 (-28.0)#3,547
78. 37338 25.0 53.0 (-28.0)#78 53.0 (-28.0)#3,575
79. 38477 25.0 53.0 (-28.0)#79 53.0 (-28.0)#3,578
80. 38366 25.0 53.0 (-28.0)#80 53.0 (-28.0)#3,589
81. 38235 25.0 53.0 (-28.0)#81 53.0 (-28.0)#3,669
82. 37641 26.0 53.0 (-27.0)#82 53.0 (-27.0)#3,764
83. 38551 26.0 53.0 (-27.0)#83 53.0 (-27.0)#3,804
84. 37308 26.0 53.0 (-27.0)#84 53.0 (-27.0)#3,832
85. 38229 26.0 53.0 (-27.0)#85 53.0 (-27.0)#3,838
86. 37347 27.0 53.0 (-26.0)#86 53.0 (-26.0)#4,025
87. 37779 27.0 53.0 (-26.0)#87 53.0 (-26.0)#4,081
88. 38449 27.0 53.0 (-26.0)#88 53.0 (-26.0)#4,084
89. 37018 27.0 53.0 (-26.0)#89 53.0 (-26.0)#4,099
90. 38141 28.0 53.0 (-25.0)#90 53.0 (-25.0)#4,255
91. 37725 28.0 53.0 (-25.0)#91 53.0 (-25.0)#4,272
92. 37714 28.0 53.0 (-25.0)#92 53.0 (-25.0)#4,341
93. 37402 28.0 53.0 (-25.0)#93 53.0 (-25.0)#4,342
94. 38256 28.0 53.0 (-25.0)#94 53.0 (-25.0)#4,357
95. 38017 29.0 53.0 (-24.0)#95 53.0 (-24.0)#4,441
96. 38016 29.0 53.0 (-24.0)#96 53.0 (-24.0)#4,451
97. 38242 29.0 53.0 (-24.0)#97 53.0 (-24.0)#4,516
98. 38468 29.0 53.0 (-24.0)#98 53.0 (-24.0)#4,592
99. 37357 29.0 53.0 (-24.0)#99 53.0 (-24.0)#4,595
100. 37027 30.0 53.0 (-23.0)#100 53.0 (-23.0)#4,717

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Tennessee?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Tennessee are:
#1
1.0
#2
1.0
#3
3.0
#4
4.0
#5
4.0
#6
5.0
#7
5.0
#8
6.0
#9
6.0
#10
7.0
What zip code has the Fewest Births per 1,000 Women Below Poverty Level in Tennessee?
37737 has the Fewest Births per 1,000 Women Below Poverty Level in Tennessee with 1.0.
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.