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

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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 NativeAlbanianAlsatianAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChippewaChoctawColombianComancheCosta RicanCreekCroatianCubanCypriotCzechCzechoslovakianDanishDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench CanadianGermanGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMalaysianMalteseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsagePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuebloPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTohono O'OdhamTonganTrinidadian and TobagonianTurkishUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYaquiYugoslavianZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlbanianAlsatianAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChippewaChoctawColombianComancheCosta RicanCreekCroatianCubanCypriotCzechCzechoslovakianDanishDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench CanadianGermanGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMalaysianMalteseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsagePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuebloPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTohono O'OdhamTonganTrinidadian and TobagonianTurkishUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYaquiYugoslavianZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaMalaysiaMexicoMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaMalaysiaMexicoMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad 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
Dallas
Compare Zip Codes
Comparison Subject

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

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150.0
Zip Codes with the Most Births per 1,000 Women in Labor Force in Dallas Map

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

Zip Code Births / 1,000 Women vs State vs National
1.75249119.050.0(+69.0)#13548.0(+71.0)#2,543
2.7521294.050.0(+44.0)#22748.0(+46.0)#3,891
3.7521090.050.0(+40.0)#25148.0(+42.0)#4,233
4.7523788.050.0(+38.0)#26048.0(+40.0)#4,407
5.7521885.050.0(+35.0)#27348.0(+37.0)#4,705
6.7525480.050.0(+30.0)#30248.0(+32.0)#5,253
7.7522976.050.0(+26.0)#33748.0(+28.0)#5,763
8.7524076.050.0(+26.0)#33948.0(+28.0)#5,773
9.7522075.050.0(+25.0)#34448.0(+27.0)#5,886
10.7524672.050.0(+22.0)#37748.0(+24.0)#6,443
11.7521668.050.0(+18.0)#40848.0(+20.0)#7,025
12.7523468.050.0(+18.0)#41248.0(+20.0)#7,051
13.7521568.050.0(+18.0)#41548.0(+20.0)#7,093
14.7520964.050.0(+14.0)#45948.0(+16.0)#7,896
15.7523857.050.0(+7.00)#56548.0(+9.00)#9,440
16.7521156.050.0(+6.00)#57848.0(+8.00)#9,615
17.7523056.050.0(+6.00)#58448.0(+8.00)#9,687
18.7524456.050.0(+6.00)#58748.0(+8.00)#9,744
19.7523255.050.0(+5.00)#59848.0(+7.00)#9,963
20.7523554.050.0(+4.00)#61848.0(+6.00)#10,291
21.7521751.050.0(+1.000)#65648.0(+3.00)#11,020
22.7524351.050.0(+1.000)#65748.0(+3.00)#11,026
23.7522350.050.0(=0.000)#68548.0(+2.00)#11,460
24.7522448.050.0(-2.00)#71948.0(=0.000)#11,953
25.7520547.050.0(-3.00)#74348.0(-1.000)#12,297
26.7522547.050.0(-3.00)#74448.0(-1.000)#12,312
27.7521446.050.0(-4.00)#76348.0(-2.00)#12,572
28.7525341.050.0(-9.00)#84848.0(-7.00)#14,236
29.7522740.050.0(-10.00)#86048.0(-8.00)#14,463
30.7524140.050.0(-10.00)#86948.0(-8.00)#14,522
31.7523139.050.0(-11.0)#88748.0(-9.00)#14,858
32.7522836.050.0(-14.0)#94448.0(-12.0)#15,798
33.7528735.050.0(-15.0)#96548.0(-13.0)#16,110
34.7520635.050.0(-15.0)#96948.0(-13.0)#16,137
35.7524831.050.0(-19.0)#1,05148.0(-17.0)#17,396
36.7520829.050.0(-21.0)#1,08148.0(-19.0)#17,986
37.7523627.050.0(-23.0)#1,12848.0(-21.0)#18,619
38.7520226.050.0(-24.0)#1,14948.0(-22.0)#19,035
39.7525225.050.0(-25.0)#1,15648.0(-23.0)#19,166
40.7520424.050.0(-26.0)#1,17348.0(-24.0)#19,435
41.7520323.050.0(-27.0)#1,19348.0(-25.0)#19,765
42.7520121.050.0(-29.0)#1,21848.0(-27.0)#20,264
43.7523320.050.0(-30.0)#1,23748.0(-28.0)#20,529
44.7521918.050.0(-32.0)#1,26748.0(-30.0)#20,966

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Dallas, TX?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Dallas, TX are:
#1
119.0
#2
94.0
#3
90.0
#4
88.0
#5
85.0
#6
80.0
#7
76.0
#8
76.0
#9
75.0
#10
72.0
What zip code has the Most Births per 1,000 Women in Labor Force in Dallas, TX?
75249 has the Most Births per 1,000 Women in Labor Force in Dallas, TX with 119.0.
What is the Number of Births per 1,000 Women in Labor Force in Dallas, TX?
Number of Births per 1,000 Women in Labor Force in Dallas is 47.0.
What is the Number of Births per 1,000 Women in Labor Force in Texas?
Number of Births per 1,000 Women in Labor Force in Texas is 50.0.
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.