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

RELATED REPORTS & OPTIONS

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

18.0
119.0
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. 75249 119.0 50.0 (+69.0)#135 48.0 (+71.0)#2,543
2. 75212 94.0 50.0 (+44.0)#227 48.0 (+46.0)#3,891
3. 75210 90.0 50.0 (+40.0)#251 48.0 (+42.0)#4,233
4. 75237 88.0 50.0 (+38.0)#260 48.0 (+40.0)#4,407
5. 75218 85.0 50.0 (+35.0)#273 48.0 (+37.0)#4,705
6. 75254 80.0 50.0 (+30.0)#302 48.0 (+32.0)#5,253
7. 75229 76.0 50.0 (+26.0)#337 48.0 (+28.0)#5,763
8. 75240 76.0 50.0 (+26.0)#339 48.0 (+28.0)#5,773
9. 75220 75.0 50.0 (+25.0)#344 48.0 (+27.0)#5,886
10. 75246 72.0 50.0 (+22.0)#377 48.0 (+24.0)#6,443
11. 75216 68.0 50.0 (+18.0)#408 48.0 (+20.0)#7,025
12. 75234 68.0 50.0 (+18.0)#412 48.0 (+20.0)#7,051
13. 75215 68.0 50.0 (+18.0)#415 48.0 (+20.0)#7,093
14. 75209 64.0 50.0 (+14.0)#459 48.0 (+16.0)#7,896
15. 75238 57.0 50.0 (+7.00)#565 48.0 (+9.00)#9,440
16. 75211 56.0 50.0 (+6.00)#578 48.0 (+8.00)#9,615
17. 75230 56.0 50.0 (+6.00)#584 48.0 (+8.00)#9,687
18. 75244 56.0 50.0 (+6.00)#587 48.0 (+8.00)#9,744
19. 75232 55.0 50.0 (+5.00)#598 48.0 (+7.00)#9,963
20. 75235 54.0 50.0 (+4.00)#618 48.0 (+6.00)#10,291
21. 75217 51.0 50.0 (+1.000)#656 48.0 (+3.00)#11,020
22. 75243 51.0 50.0 (+1.000)#657 48.0 (+3.00)#11,026
23. 75223 50.0 50.0 (=0.000)#685 48.0 (+2.00)#11,460
24. 75224 48.0 50.0 (-2.00)#719 48.0 (=0.000)#11,953
25. 75205 47.0 50.0 (-3.00)#743 48.0 (-1.000)#12,297
26. 75225 47.0 50.0 (-3.00)#744 48.0 (-1.000)#12,312
27. 75214 46.0 50.0 (-4.00)#763 48.0 (-2.00)#12,572
28. 75253 41.0 50.0 (-9.00)#848 48.0 (-7.00)#14,236
29. 75227 40.0 50.0 (-10.00)#860 48.0 (-8.00)#14,463
30. 75241 40.0 50.0 (-10.00)#869 48.0 (-8.00)#14,522
31. 75231 39.0 50.0 (-11.0)#887 48.0 (-9.00)#14,858
32. 75228 36.0 50.0 (-14.0)#944 48.0 (-12.0)#15,798
33. 75287 35.0 50.0 (-15.0)#965 48.0 (-13.0)#16,110
34. 75206 35.0 50.0 (-15.0)#969 48.0 (-13.0)#16,137
35. 75248 31.0 50.0 (-19.0)#1,051 48.0 (-17.0)#17,396
36. 75208 29.0 50.0 (-21.0)#1,081 48.0 (-19.0)#17,986
37. 75236 27.0 50.0 (-23.0)#1,128 48.0 (-21.0)#18,619
38. 75202 26.0 50.0 (-24.0)#1,149 48.0 (-22.0)#19,035
39. 75252 25.0 50.0 (-25.0)#1,156 48.0 (-23.0)#19,166
40. 75204 24.0 50.0 (-26.0)#1,173 48.0 (-24.0)#19,435
41. 75203 23.0 50.0 (-27.0)#1,193 48.0 (-25.0)#19,765
42. 75201 21.0 50.0 (-29.0)#1,218 48.0 (-27.0)#20,264
43. 75233 20.0 50.0 (-30.0)#1,237 48.0 (-28.0)#20,529
44. 75219 18.0 50.0 (-32.0)#1,267 48.0 (-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.