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

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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)
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 in Labor Force in Oklahoma

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women in Labor Force in Oklahoma Map

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

Zip Code Births / 1,000 Women vs State vs National
1.737581,000.051.0(+949)#148.0(+952)#17
2.73491519.051.0(+468)#248.0(+471)#150
3.73749514.051.0(+463)#348.0(+466)#156
4.73764464.051.0(+413)#448.0(+416)#200
5.73440389.051.0(+338)#548.0(+341)#276
6.74459333.051.0(+282)#648.0(+285)#396
7.74722308.051.0(+257)#748.0(+260)#447
8.73755272.051.0(+221)#848.0(+224)#571
9.73724247.051.0(+196)#948.0(+199)#677
10.73554234.051.0(+183)#1048.0(+186)#740
11.73539231.051.0(+180)#1148.0(+183)#763
12.74829222.051.0(+171)#1248.0(+174)#812
13.73487222.051.0(+171)#1348.0(+174)#821
14.74428221.051.0(+170)#1448.0(+173)#830
15.74760200.051.0(+149)#1548.0(+152)#1,011
16.73627196.051.0(+145)#1648.0(+148)#1,054
17.73841188.051.0(+137)#1748.0(+140)#1,116
18.73718184.051.0(+133)#1848.0(+136)#1,168
19.73061173.051.0(+122)#1948.0(+125)#1,285
20.73017172.051.0(+121)#2048.0(+124)#1,302
21.74577167.051.0(+116)#2148.0(+119)#1,402
22.73436167.051.0(+116)#2248.0(+119)#1,406
23.73073161.051.0(+110)#2348.0(+113)#1,481
24.73033161.051.0(+110)#2448.0(+113)#1,483
25.73131160.051.0(+109)#2548.0(+112)#1,489
26.73179158.051.0(+107)#2648.0(+110)#1,530
27.73032150.051.0(+99.0)#2748.0(+102)#1,689
28.74343149.051.0(+98.0)#2848.0(+101)#1,698
29.74446149.051.0(+98.0)#2948.0(+101)#1,708
30.74825147.051.0(+96.0)#3048.0(+99.0)#1,743
31.73762143.051.0(+92.0)#3148.0(+95.0)#1,818
32.74939143.051.0(+92.0)#3248.0(+95.0)#1,826
33.73530143.051.0(+92.0)#3348.0(+95.0)#1,837
34.73556143.051.0(+92.0)#3448.0(+95.0)#1,848
35.73932142.051.0(+91.0)#3548.0(+94.0)#1,871
36.74333139.051.0(+88.0)#3648.0(+91.0)#1,944
37.74632138.051.0(+87.0)#3748.0(+90.0)#1,973
38.74042138.051.0(+87.0)#3848.0(+90.0)#1,978
39.74562136.051.0(+85.0)#3948.0(+88.0)#2,027
40.74460135.051.0(+84.0)#4048.0(+87.0)#2,060
41.74558132.051.0(+81.0)#4148.0(+84.0)#2,144
42.73531130.051.0(+79.0)#4248.0(+82.0)#2,201
43.74455128.051.0(+77.0)#4348.0(+80.0)#2,248
44.74871127.051.0(+76.0)#4448.0(+79.0)#2,281
45.73939127.051.0(+76.0)#4548.0(+79.0)#2,285
46.74472127.051.0(+76.0)#4648.0(+79.0)#2,295
47.74084127.051.0(+76.0)#4748.0(+79.0)#2,300
48.73766126.051.0(+75.0)#4848.0(+78.0)#2,334
49.74051125.051.0(+74.0)#4948.0(+77.0)#2,349
50.74561123.051.0(+72.0)#5048.0(+75.0)#2,427
51.73644122.051.0(+71.0)#5148.0(+74.0)#2,440
52.73858122.051.0(+71.0)#5248.0(+74.0)#2,453
53.74346121.051.0(+70.0)#5348.0(+73.0)#2,477
54.73662120.051.0(+69.0)#5448.0(+72.0)#2,510
55.74342120.051.0(+69.0)#5548.0(+72.0)#2,522
56.73857120.051.0(+69.0)#5648.0(+72.0)#2,529
57.73169119.051.0(+68.0)#5748.0(+71.0)#2,555
58.73151119.051.0(+68.0)#5848.0(+71.0)#2,563
59.74060119.051.0(+68.0)#5948.0(+71.0)#2,580
60.73734115.051.0(+64.0)#6048.0(+67.0)#2,743
61.74332114.051.0(+63.0)#6148.0(+66.0)#2,772
62.74652114.051.0(+63.0)#6248.0(+66.0)#2,781
63.73573111.051.0(+60.0)#6348.0(+63.0)#2,897
64.73049107.051.0(+56.0)#6448.0(+59.0)#3,105
65.74039107.051.0(+56.0)#6548.0(+59.0)#3,111
66.73121105.051.0(+54.0)#6648.0(+57.0)#3,211
67.74022105.051.0(+54.0)#6748.0(+57.0)#3,226
68.73737104.051.0(+53.0)#6848.0(+56.0)#3,274
69.73566104.051.0(+53.0)#6948.0(+56.0)#3,285
70.74840103.051.0(+52.0)#7048.0(+55.0)#3,343
71.74425103.051.0(+52.0)#7148.0(+55.0)#3,352
72.73080101.051.0(+50.0)#7248.0(+53.0)#3,442
73.74132100.051.0(+49.0)#7348.0(+52.0)#3,494
74.74560100.051.0(+49.0)#7448.0(+52.0)#3,536
75.7404899.051.0(+48.0)#7548.0(+51.0)#3,575
76.7346399.051.0(+48.0)#7648.0(+51.0)#3,583
77.7300699.051.0(+48.0)#7748.0(+51.0)#3,592
78.7344998.051.0(+47.0)#7848.0(+50.0)#3,654
79.7372898.051.0(+47.0)#7948.0(+50.0)#3,660
80.7300298.051.0(+47.0)#8048.0(+50.0)#3,667
81.7305997.051.0(+46.0)#8148.0(+49.0)#3,729
82.7445097.051.0(+46.0)#8248.0(+49.0)#3,737
83.7365497.051.0(+46.0)#8348.0(+49.0)#3,752
84.7346197.051.0(+46.0)#8448.0(+49.0)#3,754
85.7393196.051.0(+45.0)#8548.0(+48.0)#3,822
86.7437095.051.0(+44.0)#8648.0(+47.0)#3,854
87.7301695.051.0(+44.0)#8748.0(+47.0)#3,859
88.7366995.051.0(+44.0)#8848.0(+47.0)#3,862
89.7344295.051.0(+44.0)#8948.0(+47.0)#3,883
90.7443794.051.0(+43.0)#9048.0(+46.0)#3,903
91.7413094.051.0(+43.0)#9148.0(+46.0)#3,931
92.7303894.051.0(+43.0)#9248.0(+46.0)#3,938
93.7344693.051.0(+42.0)#9348.0(+45.0)#3,979
94.7365093.051.0(+42.0)#9448.0(+45.0)#4,018
95.7317091.051.0(+40.0)#9548.0(+43.0)#4,104
96.7380191.051.0(+40.0)#9648.0(+43.0)#4,119
97.7356091.051.0(+40.0)#9748.0(+43.0)#4,179
98.7407390.051.0(+39.0)#9848.0(+42.0)#4,241
99.7383489.051.0(+38.0)#9948.0(+41.0)#4,368
100.7445188.051.0(+37.0)#10048.0(+40.0)#4,439

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Oklahoma?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Oklahoma are:
#1
1,000.0
#2
519.0
#3
514.0
#4
464.0
#5
389.0
#6
333.0
#7
308.0
#8
272.0
#9
247.0
#10
234.0
What zip code has the Most Births per 1,000 Women in Labor Force in Oklahoma?
73758 has the Most Births per 1,000 Women in Labor Force in Oklahoma with 1,000.0.
What is the Number of Births per 1,000 Women in Labor Force in the State of 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.