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

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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
Oklahoma
Compare Zip Codes
Comparison Subject

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

0.0
600.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Oklahoma Map

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

Zip Code Births / 1,000 Women vs State vs National
1.73043536.059.0(+477)#153.0(+483)#152
2.73749442.059.0(+383)#253.0(+389)#222
3.73440389.059.0(+330)#353.0(+336)#274
4.74722286.059.0(+227)#453.0(+233)#504
5.73491277.059.0(+218)#553.0(+224)#540
6.73764250.059.0(+191)#653.0(+197)#654
7.74459250.059.0(+191)#753.0(+197)#667
8.73436241.059.0(+182)#853.0(+188)#711
9.73556240.059.0(+181)#953.0(+187)#719
10.73539222.059.0(+163)#1053.0(+169)#824
11.74430205.059.0(+146)#1153.0(+152)#924
12.73760205.059.0(+146)#1253.0(+152)#929
13.74368200.059.0(+141)#1353.0(+147)#989
14.74829189.059.0(+130)#1453.0(+136)#1,108
15.73622186.059.0(+127)#1553.0(+133)#1,156
16.73554184.059.0(+125)#1653.0(+131)#1,172
17.73755184.059.0(+125)#1753.0(+131)#1,174
18.73117183.059.0(+124)#1853.0(+130)#1,181
19.73758179.059.0(+120)#1953.0(+126)#1,235
20.74963178.059.0(+119)#2053.0(+125)#1,246
21.73503175.059.0(+116)#2153.0(+122)#1,277
22.74428174.059.0(+115)#2253.0(+121)#1,305
23.73673167.059.0(+108)#2353.0(+114)#1,435
24.73442167.059.0(+108)#2453.0(+114)#1,443
25.74534167.059.0(+108)#2553.0(+114)#1,451
26.73843165.059.0(+106)#2653.0(+112)#1,475
27.73771163.059.0(+104)#2753.0(+110)#1,507
28.73033158.059.0(+99.0)#2853.0(+105)#1,604
29.73061156.059.0(+97.0)#2953.0(+103)#1,630
30.73547153.059.0(+94.0)#3053.0(+100.0)#1,685
31.73841151.059.0(+92.0)#3153.0(+98.0)#1,732
32.74871150.059.0(+91.0)#3253.0(+97.0)#1,745
33.73718150.059.0(+91.0)#3353.0(+97.0)#1,757
34.73744150.059.0(+91.0)#3453.0(+97.0)#1,761
35.74760150.059.0(+91.0)#3553.0(+97.0)#1,762
36.74733148.059.0(+89.0)#3653.0(+95.0)#1,786
37.74042146.059.0(+87.0)#3753.0(+93.0)#1,847
38.74460143.059.0(+84.0)#3853.0(+90.0)#1,927
39.74451142.059.0(+83.0)#3953.0(+89.0)#1,945
40.74342142.059.0(+83.0)#4053.0(+89.0)#1,950
41.73724141.059.0(+82.0)#4153.0(+88.0)#1,975
42.73073137.059.0(+78.0)#4253.0(+84.0)#2,100
43.74632135.059.0(+76.0)#4353.0(+82.0)#2,173
44.74825134.059.0(+75.0)#4453.0(+81.0)#2,198
45.74947133.059.0(+74.0)#4553.0(+80.0)#2,249
46.73644132.059.0(+73.0)#4653.0(+79.0)#2,252
47.74051129.059.0(+70.0)#4753.0(+76.0)#2,367
48.73054128.059.0(+69.0)#4853.0(+75.0)#2,397
49.73179126.059.0(+67.0)#4953.0(+73.0)#2,478
50.73667125.059.0(+66.0)#5053.0(+72.0)#2,536
51.74724125.059.0(+66.0)#5153.0(+72.0)#2,553
52.73763123.059.0(+64.0)#5253.0(+70.0)#2,617
53.74446123.059.0(+64.0)#5353.0(+70.0)#2,639
54.73858120.059.0(+61.0)#5453.0(+67.0)#2,748
55.73651118.059.0(+59.0)#5553.0(+65.0)#2,816
56.73016118.059.0(+59.0)#5653.0(+65.0)#2,825
57.74438118.059.0(+59.0)#5753.0(+65.0)#2,856
58.74343116.059.0(+57.0)#5853.0(+63.0)#2,926
59.74842115.059.0(+56.0)#5953.0(+62.0)#3,015
60.73550113.059.0(+54.0)#6053.0(+60.0)#3,090
61.74425113.059.0(+54.0)#6153.0(+60.0)#3,102
62.73531113.059.0(+54.0)#6253.0(+60.0)#3,111
63.73762112.059.0(+53.0)#6353.0(+59.0)#3,149
64.74060112.059.0(+53.0)#6453.0(+59.0)#3,179
65.73662111.059.0(+52.0)#6553.0(+58.0)#3,190
66.74084111.059.0(+52.0)#6653.0(+58.0)#3,224
67.73145110.059.0(+51.0)#6753.0(+57.0)#3,275
68.73566110.059.0(+51.0)#6853.0(+57.0)#3,290
69.74472109.059.0(+50.0)#6953.0(+56.0)#3,345
70.73115108.059.0(+49.0)#7053.0(+55.0)#3,362
71.73080108.059.0(+49.0)#7153.0(+55.0)#3,376
72.73857108.059.0(+49.0)#7253.0(+55.0)#3,414
73.74048107.059.0(+48.0)#7353.0(+54.0)#3,442
74.74538107.059.0(+48.0)#7453.0(+54.0)#3,448
75.73627107.059.0(+48.0)#7553.0(+54.0)#3,494
76.73573106.059.0(+47.0)#7653.0(+53.0)#3,538
77.74735106.059.0(+47.0)#7753.0(+53.0)#3,541
78.73939106.059.0(+47.0)#7853.0(+53.0)#3,547
79.74951106.059.0(+47.0)#7953.0(+53.0)#3,548
80.73932105.059.0(+46.0)#8053.0(+52.0)#3,607
81.73057104.059.0(+45.0)#8153.0(+51.0)#3,675
82.74562103.059.0(+44.0)#8253.0(+50.0)#3,774
83.73734101.059.0(+42.0)#8353.0(+48.0)#3,913
84.74547100.059.0(+41.0)#8453.0(+47.0)#3,959
85.73728100.059.0(+41.0)#8553.0(+47.0)#3,974
86.74561100.059.0(+41.0)#8653.0(+47.0)#3,975
87.73487100.059.0(+41.0)#8753.0(+47.0)#4,016
88.7402299.059.0(+40.0)#8853.0(+46.0)#4,071
89.7383499.059.0(+40.0)#8953.0(+46.0)#4,075
90.7465298.059.0(+39.0)#9053.0(+45.0)#4,161
91.7356098.059.0(+39.0)#9153.0(+45.0)#4,163
92.7344697.059.0(+38.0)#9253.0(+44.0)#4,209
93.7354296.059.0(+37.0)#9353.0(+43.0)#4,329
94.7313196.059.0(+37.0)#9453.0(+43.0)#4,334
95.7433095.059.0(+36.0)#9553.0(+42.0)#4,432
96.7445095.059.0(+36.0)#9653.0(+42.0)#4,446
97.7457795.059.0(+36.0)#9753.0(+42.0)#4,471
98.7436493.059.0(+34.0)#9853.0(+40.0)#4,614
99.7380192.059.0(+33.0)#9953.0(+39.0)#4,663
100.7400392.059.0(+33.0)#10053.0(+39.0)#4,665

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Oklahoma?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Oklahoma are:
#1
536.0
#2
442.0
#3
389.0
#4
286.0
#5
277.0
#6
250.0
#7
250.0
#8
241.0
#9
240.0
#10
222.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in Oklahoma?
73043 has the Most Births per 1,000 Women Below Poverty Level in Oklahoma with 536.0.
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.