Zip Codes with the Most Births per 1,000 Women in Labor Force in Tulsa, OK

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Highest Birth Rate | In Labor Force
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfghanAfricanAleutAmericanApacheArabArapahoArgentineanArmenianAustralianAustrianBahamianBangladeshiBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBulgarianBurmeseCajunCanadianCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChippewaChoctawColombianComancheCosta RicanCreekCroatianCubanCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMalaysianMexicanMexican American IndianMoroccanNative HawaiianNavajoNicaraguanNigerianNorthern EuropeanNorwegianOsageOttawaPakistaniPalestinianPanamanianPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSiouxSlavicSlovakSloveneSouth AmericanSouth American IndianSpaniardSpanishSpanish AmericanSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTlingit-HaidaTrinidadian and TobagonianTurkishUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYugoslavian
Ancestry (Percentage)
AfghanAfricanAleutAmericanApacheArabArapahoArgentineanArmenianAustralianAustrianBahamianBangladeshiBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBulgarianBurmeseCajunCanadianCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChippewaChoctawColombianComancheCosta RicanCreekCroatianCubanCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMalaysianMexicanMexican American IndianMoroccanNative HawaiianNavajoNicaraguanNigerianNorthern EuropeanNorwegianOsageOttawaPakistaniPalestinianPanamanianPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSiouxSlavicSlovakSloveneSouth AmericanSouth American IndianSpaniardSpanishSpanish AmericanSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTlingit-HaidaTrinidadian and TobagonianTurkishUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYugoslavian
Immigrant Origin (Total)
AfghanistanAfricaArgentinaAsiaAustraliaAustriaBahamasBangladeshBelgiumBelizeBoliviaBrazilBurma / MyanmarCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCosta RicaCubaDenmarkDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaHaitiHondurasHong KongIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaMalaysiaMexicoMicronesiaMiddle AfricaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSwedenSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaArgentinaAsiaAustraliaAustriaBahamasBangladeshBelgiumBelizeBoliviaBrazilBurma / MyanmarCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCosta RicaCubaDenmarkDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaHaitiHondurasHong KongIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaMalaysiaMexicoMicronesiaMiddle AfricaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSwedenSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeZaireZimbabwe
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
Tulsa
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Most Births per 1,000 Women in Labor Force in Tulsa

0.0
100.0
Zip Codes with the Most Births per 1,000 Women in Labor Force in Tulsa Map

Zip Codes with the Most Births per 1,000 Women in Labor Force in Tulsa, OK

Zip Code Births / 1,000 Women vs State vs National
1.74132100.051.0(+49.0)#7348.0(+52.0)#3,494
2.7413094.051.0(+43.0)#9148.0(+46.0)#3,931
3.7410573.051.0(+22.0)#14548.0(+25.0)#6,186
4.7411567.051.0(+16.0)#16348.0(+19.0)#7,268
5.7410666.051.0(+15.0)#16948.0(+18.0)#7,478
6.7413361.051.0(+10.00)#19048.0(+13.0)#8,498
7.7410861.051.0(+10.00)#19348.0(+13.0)#8,604
8.7413657.051.0(+6.00)#21248.0(+9.00)#9,441
9.7413453.051.0(+2.00)#23548.0(+5.00)#10,570
10.7411050.051.0(-1.000)#25648.0(+2.00)#11,450
11.7413745.051.0(-6.00)#27748.0(-3.00)#12,882
12.7411243.051.0(-8.00)#28648.0(-5.00)#13,568
13.7410743.051.0(-8.00)#28748.0(-5.00)#13,580
14.7412041.051.0(-10.00)#30548.0(-7.00)#14,365
15.7414540.051.0(-11.0)#31248.0(-8.00)#14,601
16.7413539.051.0(-12.0)#31648.0(-9.00)#14,940
17.7414638.051.0(-13.0)#33448.0(-10.00)#15,253
18.7412837.051.0(-14.0)#34148.0(-11.0)#15,633
19.7412636.051.0(-15.0)#34648.0(-12.0)#15,959
20.7413132.051.0(-19.0)#36948.0(-16.0)#17,285
21.7412930.051.0(-21.0)#37748.0(-18.0)#17,773
22.7410430.051.0(-21.0)#37848.0(-18.0)#17,801
23.7411428.051.0(-23.0)#38648.0(-20.0)#18,344
24.7412728.051.0(-23.0)#38748.0(-20.0)#18,349
25.7411623.051.0(-28.0)#41648.0(-25.0)#19,868
26.7411912.051.0(-39.0)#45948.0(-36.0)#22,203

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Tulsa, OK?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Tulsa, OK are:
#1
100.0
#2
94.0
#3
73.0
#4
67.0
#5
66.0
#6
61.0
#7
61.0
#8
57.0
#9
53.0
#10
50.0
What zip code has the Most Births per 1,000 Women in Labor Force in Tulsa, OK?
74132 has the Most Births per 1,000 Women in Labor Force in Tulsa, OK with 100.0.
What is the Number of Births per 1,000 Women in Labor Force in Tulsa, OK?
Number of Births per 1,000 Women in Labor Force in Tulsa is 50.0.
What is the Number of Births per 1,000 Women in Labor Force in Oklahoma?
Number of Births per 1,000 Women in Labor Force in Oklahoma is 51.0.
What is the Number of Births per 1,000 Women in Labor Force in the United States?
Number of Births per 1,000 Women in Labor Force in the United States is 48.0.