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

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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
Oklahoma
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Births / 1,000 Women vs State vs National
1. 73128 4.0 59.0 (-55.0)#1 53.0 (-49.0)#94
2. 73950 6.0 59.0 (-53.0)#2 53.0 (-47.0)#258
3. 73568 6.0 59.0 (-53.0)#3 53.0 (-47.0)#260
4. 74734 6.0 59.0 (-53.0)#4 53.0 (-47.0)#268
5. 73562 6.0 59.0 (-53.0)#5 53.0 (-47.0)#273
6. 74633 6.0 59.0 (-53.0)#6 53.0 (-47.0)#275
7. 74032 7.0 59.0 (-52.0)#7 53.0 (-46.0)#326
8. 73074 7.0 59.0 (-52.0)#8 53.0 (-46.0)#338
9. 74422 8.0 59.0 (-51.0)#9 53.0 (-45.0)#430
10. 74839 8.0 59.0 (-51.0)#10 53.0 (-45.0)#443
11. 73078 9.0 59.0 (-50.0)#11 53.0 (-44.0)#468
12. 74119 9.0 59.0 (-50.0)#12 53.0 (-44.0)#505
13. 74574 9.0 59.0 (-50.0)#13 53.0 (-44.0)#545
14. 74054 10.0 59.0 (-49.0)#14 53.0 (-43.0)#684
15. 74569 10.0 59.0 (-49.0)#15 53.0 (-43.0)#688
16. 73011 10.0 59.0 (-49.0)#16 53.0 (-43.0)#690
17. 73949 11.0 59.0 (-48.0)#17 53.0 (-42.0)#794
18. 73759 11.0 59.0 (-48.0)#18 53.0 (-42.0)#799
19. 74833 12.0 59.0 (-47.0)#19 53.0 (-41.0)#963
20. 73150 13.0 59.0 (-46.0)#20 53.0 (-40.0)#1,025
21. 73093 13.0 59.0 (-46.0)#21 53.0 (-40.0)#1,047
22. 73543 13.0 59.0 (-46.0)#22 53.0 (-40.0)#1,075
23. 74083 13.0 59.0 (-46.0)#23 53.0 (-40.0)#1,104
24. 73842 13.0 59.0 (-46.0)#24 53.0 (-40.0)#1,120
25. 74930 14.0 59.0 (-45.0)#25 53.0 (-39.0)#1,230
26. 74061 15.0 59.0 (-44.0)#26 53.0 (-38.0)#1,395
27. 73141 16.0 59.0 (-43.0)#27 53.0 (-37.0)#1,574
28. 74366 16.0 59.0 (-43.0)#28 53.0 (-37.0)#1,603
29. 73933 16.0 59.0 (-43.0)#29 53.0 (-37.0)#1,606
30. 73056 16.0 59.0 (-43.0)#30 53.0 (-37.0)#1,632
31. 73944 16.0 59.0 (-43.0)#31 53.0 (-37.0)#1,640
32. 74030 17.0 59.0 (-42.0)#32 53.0 (-36.0)#1,745
33. 73663 17.0 59.0 (-42.0)#33 53.0 (-36.0)#1,780
34. 73009 17.0 59.0 (-42.0)#34 53.0 (-36.0)#1,798
35. 73945 18.0 59.0 (-41.0)#35 53.0 (-35.0)#1,936
36. 73852 18.0 59.0 (-41.0)#36 53.0 (-35.0)#1,944
37. 74726 18.0 59.0 (-41.0)#37 53.0 (-35.0)#1,950
38. 73134 19.0 59.0 (-40.0)#38 53.0 (-34.0)#2,076
39. 74454 19.0 59.0 (-40.0)#39 53.0 (-34.0)#2,111
40. 74470 19.0 59.0 (-40.0)#40 53.0 (-34.0)#2,151
41. 74572 19.0 59.0 (-40.0)#41 53.0 (-34.0)#2,173
42. 73053 19.0 59.0 (-40.0)#42 53.0 (-34.0)#2,183
43. 73772 20.0 59.0 (-39.0)#43 53.0 (-33.0)#2,307
44. 73102 20.0 59.0 (-39.0)#44 53.0 (-33.0)#2,311
45. 73572 20.0 59.0 (-39.0)#45 53.0 (-33.0)#2,319
46. 73552 20.0 59.0 (-39.0)#46 53.0 (-33.0)#2,371
47. 73105 21.0 59.0 (-38.0)#47 53.0 (-32.0)#2,525
48. 74736 21.0 59.0 (-38.0)#48 53.0 (-32.0)#2,630
49. 74468 21.0 59.0 (-38.0)#49 53.0 (-32.0)#2,652
50. 74848 22.0 59.0 (-37.0)#50 53.0 (-31.0)#2,737
51. 74463 22.0 59.0 (-37.0)#51 53.0 (-31.0)#2,802
52. 74826 22.0 59.0 (-37.0)#52 53.0 (-31.0)#2,839
53. 74931 22.0 59.0 (-37.0)#53 53.0 (-31.0)#2,846
54. 74116 23.0 59.0 (-36.0)#54 53.0 (-30.0)#3,052
55. 74085 23.0 59.0 (-36.0)#55 53.0 (-30.0)#3,070
56. 73859 23.0 59.0 (-36.0)#56 53.0 (-30.0)#3,093
57. 73029 23.0 59.0 (-36.0)#57 53.0 (-30.0)#3,097
58. 73546 23.0 59.0 (-36.0)#58 53.0 (-30.0)#3,104
59. 74856 23.0 59.0 (-36.0)#59 53.0 (-30.0)#3,116
60. 74756 23.0 59.0 (-36.0)#60 53.0 (-30.0)#3,122
61. 73660 23.0 59.0 (-36.0)#61 53.0 (-30.0)#3,132
62. 74827 23.0 59.0 (-36.0)#62 53.0 (-30.0)#3,134
63. 74082 24.0 59.0 (-35.0)#63 53.0 (-29.0)#3,388
64. 74830 24.0 59.0 (-35.0)#64 53.0 (-29.0)#3,390
65. 74965 25.0 59.0 (-34.0)#65 53.0 (-28.0)#3,551
66. 74079 25.0 59.0 (-34.0)#66 53.0 (-28.0)#3,557
67. 73455 25.0 59.0 (-34.0)#67 53.0 (-28.0)#3,653
68. 73010 26.0 59.0 (-33.0)#68 53.0 (-27.0)#3,718
69. 73443 26.0 59.0 (-33.0)#69 53.0 (-27.0)#3,816
70. 74347 26.0 59.0 (-33.0)#70 53.0 (-27.0)#3,830
71. 74431 26.0 59.0 (-33.0)#71 53.0 (-27.0)#3,882
72. 73729 26.0 59.0 (-33.0)#72 53.0 (-27.0)#3,902
73. 73658 26.0 59.0 (-33.0)#73 53.0 (-27.0)#3,921
74. 74127 27.0 59.0 (-32.0)#74 53.0 (-26.0)#3,993
75. 73750 27.0 59.0 (-32.0)#75 53.0 (-26.0)#4,036
76. 73045 28.0 59.0 (-31.0)#76 53.0 (-25.0)#4,293
77. 73026 28.0 59.0 (-31.0)#77 53.0 (-25.0)#4,294
78. 73632 28.0 59.0 (-31.0)#78 53.0 (-25.0)#4,358
79. 73848 28.0 59.0 (-31.0)#79 53.0 (-25.0)#4,387
80. 73004 28.0 59.0 (-31.0)#80 53.0 (-25.0)#4,414
81. 73507 29.0 59.0 (-30.0)#81 53.0 (-24.0)#4,507
82. 74554 29.0 59.0 (-30.0)#82 53.0 (-24.0)#4,647
83. 74824 29.0 59.0 (-30.0)#83 53.0 (-24.0)#4,658
84. 73639 29.0 59.0 (-30.0)#84 53.0 (-24.0)#4,681
85. 73030 30.0 59.0 (-29.0)#85 53.0 (-23.0)#4,890
86. 74740 30.0 59.0 (-29.0)#86 53.0 (-23.0)#4,943
87. 73432 30.0 59.0 (-29.0)#87 53.0 (-23.0)#4,982
88. 74432 31.0 59.0 (-28.0)#88 53.0 (-22.0)#5,147
89. 74860 31.0 59.0 (-28.0)#89 53.0 (-22.0)#5,256
90. 74875 31.0 59.0 (-28.0)#90 53.0 (-22.0)#5,283
91. 73096 32.0 59.0 (-27.0)#91 53.0 (-21.0)#5,416
92. 74857 32.0 59.0 (-27.0)#92 53.0 (-21.0)#5,437
93. 74331 32.0 59.0 (-27.0)#93 53.0 (-21.0)#5,458
94. 73052 32.0 59.0 (-27.0)#94 53.0 (-21.0)#5,465
95. 73103 32.0 59.0 (-27.0)#95 53.0 (-21.0)#5,477
96. 73062 32.0 59.0 (-27.0)#96 53.0 (-21.0)#5,554
97. 73447 32.0 59.0 (-27.0)#97 53.0 (-21.0)#5,557
98. 74844 32.0 59.0 (-27.0)#98 53.0 (-21.0)#5,586
99. 74074 33.0 59.0 (-26.0)#99 53.0 (-20.0)#5,653
100. 74075 33.0 59.0 (-26.0)#100 53.0 (-20.0)#5,675

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Oklahoma?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Oklahoma are:
#1
4.0
#2
6.0
#3
6.0
#4
6.0
#5
6.0
#6
6.0
#7
7.0
#8
7.0
#9
8.0
#10
8.0
What zip code has the Fewest Births per 1,000 Women Below Poverty Level in Oklahoma?
73128 has the Fewest Births per 1,000 Women Below Poverty Level in Oklahoma with 4.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of Oklahoma?
Number of Births per 1,000 Women Below Poverty Level in Oklahoma is 59.0.
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.