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
1.731284.059.0(-55.0)#153.0(-49.0)#94
2.739506.059.0(-53.0)#253.0(-47.0)#258
3.735686.059.0(-53.0)#353.0(-47.0)#260
4.747346.059.0(-53.0)#453.0(-47.0)#268
5.735626.059.0(-53.0)#553.0(-47.0)#273
6.746336.059.0(-53.0)#653.0(-47.0)#275
7.740327.059.0(-52.0)#753.0(-46.0)#326
8.730747.059.0(-52.0)#853.0(-46.0)#338
9.744228.059.0(-51.0)#953.0(-45.0)#430
10.748398.059.0(-51.0)#1053.0(-45.0)#443
11.730789.059.0(-50.0)#1153.0(-44.0)#468
12.741199.059.0(-50.0)#1253.0(-44.0)#505
13.745749.059.0(-50.0)#1353.0(-44.0)#545
14.7405410.059.0(-49.0)#1453.0(-43.0)#684
15.7456910.059.0(-49.0)#1553.0(-43.0)#688
16.7301110.059.0(-49.0)#1653.0(-43.0)#690
17.7394911.059.0(-48.0)#1753.0(-42.0)#794
18.7375911.059.0(-48.0)#1853.0(-42.0)#799
19.7483312.059.0(-47.0)#1953.0(-41.0)#963
20.7315013.059.0(-46.0)#2053.0(-40.0)#1,025
21.7309313.059.0(-46.0)#2153.0(-40.0)#1,047
22.7354313.059.0(-46.0)#2253.0(-40.0)#1,075
23.7408313.059.0(-46.0)#2353.0(-40.0)#1,104
24.7384213.059.0(-46.0)#2453.0(-40.0)#1,120
25.7493014.059.0(-45.0)#2553.0(-39.0)#1,230
26.7406115.059.0(-44.0)#2653.0(-38.0)#1,395
27.7314116.059.0(-43.0)#2753.0(-37.0)#1,574
28.7436616.059.0(-43.0)#2853.0(-37.0)#1,603
29.7393316.059.0(-43.0)#2953.0(-37.0)#1,606
30.7305616.059.0(-43.0)#3053.0(-37.0)#1,632
31.7394416.059.0(-43.0)#3153.0(-37.0)#1,640
32.7403017.059.0(-42.0)#3253.0(-36.0)#1,745
33.7366317.059.0(-42.0)#3353.0(-36.0)#1,780
34.7300917.059.0(-42.0)#3453.0(-36.0)#1,798
35.7394518.059.0(-41.0)#3553.0(-35.0)#1,936
36.7385218.059.0(-41.0)#3653.0(-35.0)#1,944
37.7472618.059.0(-41.0)#3753.0(-35.0)#1,950
38.7313419.059.0(-40.0)#3853.0(-34.0)#2,076
39.7445419.059.0(-40.0)#3953.0(-34.0)#2,111
40.7447019.059.0(-40.0)#4053.0(-34.0)#2,151
41.7457219.059.0(-40.0)#4153.0(-34.0)#2,173
42.7305319.059.0(-40.0)#4253.0(-34.0)#2,183
43.7377220.059.0(-39.0)#4353.0(-33.0)#2,307
44.7310220.059.0(-39.0)#4453.0(-33.0)#2,311
45.7357220.059.0(-39.0)#4553.0(-33.0)#2,319
46.7355220.059.0(-39.0)#4653.0(-33.0)#2,371
47.7310521.059.0(-38.0)#4753.0(-32.0)#2,525
48.7473621.059.0(-38.0)#4853.0(-32.0)#2,630
49.7446821.059.0(-38.0)#4953.0(-32.0)#2,652
50.7484822.059.0(-37.0)#5053.0(-31.0)#2,737
51.7446322.059.0(-37.0)#5153.0(-31.0)#2,802
52.7482622.059.0(-37.0)#5253.0(-31.0)#2,839
53.7493122.059.0(-37.0)#5353.0(-31.0)#2,846
54.7411623.059.0(-36.0)#5453.0(-30.0)#3,052
55.7408523.059.0(-36.0)#5553.0(-30.0)#3,070
56.7385923.059.0(-36.0)#5653.0(-30.0)#3,093
57.7302923.059.0(-36.0)#5753.0(-30.0)#3,097
58.7354623.059.0(-36.0)#5853.0(-30.0)#3,104
59.7485623.059.0(-36.0)#5953.0(-30.0)#3,116
60.7475623.059.0(-36.0)#6053.0(-30.0)#3,122
61.7366023.059.0(-36.0)#6153.0(-30.0)#3,132
62.7482723.059.0(-36.0)#6253.0(-30.0)#3,134
63.7408224.059.0(-35.0)#6353.0(-29.0)#3,388
64.7483024.059.0(-35.0)#6453.0(-29.0)#3,390
65.7496525.059.0(-34.0)#6553.0(-28.0)#3,551
66.7407925.059.0(-34.0)#6653.0(-28.0)#3,557
67.7345525.059.0(-34.0)#6753.0(-28.0)#3,653
68.7301026.059.0(-33.0)#6853.0(-27.0)#3,718
69.7344326.059.0(-33.0)#6953.0(-27.0)#3,816
70.7434726.059.0(-33.0)#7053.0(-27.0)#3,830
71.7443126.059.0(-33.0)#7153.0(-27.0)#3,882
72.7372926.059.0(-33.0)#7253.0(-27.0)#3,902
73.7365826.059.0(-33.0)#7353.0(-27.0)#3,921
74.7412727.059.0(-32.0)#7453.0(-26.0)#3,993
75.7375027.059.0(-32.0)#7553.0(-26.0)#4,036
76.7304528.059.0(-31.0)#7653.0(-25.0)#4,293
77.7302628.059.0(-31.0)#7753.0(-25.0)#4,294
78.7363228.059.0(-31.0)#7853.0(-25.0)#4,358
79.7384828.059.0(-31.0)#7953.0(-25.0)#4,387
80.7300428.059.0(-31.0)#8053.0(-25.0)#4,414
81.7350729.059.0(-30.0)#8153.0(-24.0)#4,507
82.7455429.059.0(-30.0)#8253.0(-24.0)#4,647
83.7482429.059.0(-30.0)#8353.0(-24.0)#4,658
84.7363929.059.0(-30.0)#8453.0(-24.0)#4,681
85.7303030.059.0(-29.0)#8553.0(-23.0)#4,890
86.7474030.059.0(-29.0)#8653.0(-23.0)#4,943
87.7343230.059.0(-29.0)#8753.0(-23.0)#4,982
88.7443231.059.0(-28.0)#8853.0(-22.0)#5,147
89.7486031.059.0(-28.0)#8953.0(-22.0)#5,256
90.7487531.059.0(-28.0)#9053.0(-22.0)#5,283
91.7309632.059.0(-27.0)#9153.0(-21.0)#5,416
92.7485732.059.0(-27.0)#9253.0(-21.0)#5,437
93.7433132.059.0(-27.0)#9353.0(-21.0)#5,458
94.7305232.059.0(-27.0)#9453.0(-21.0)#5,465
95.7310332.059.0(-27.0)#9553.0(-21.0)#5,477
96.7306232.059.0(-27.0)#9653.0(-21.0)#5,554
97.7344732.059.0(-27.0)#9753.0(-21.0)#5,557
98.7484432.059.0(-27.0)#9853.0(-21.0)#5,586
99.7407433.059.0(-26.0)#9953.0(-20.0)#5,653
100.7407533.059.0(-26.0)#10053.0(-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.