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

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Lowest 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 Lowest Births per 1,000 Women in Labor Force in Dallas

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

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

Zip Code Births / 1,000 Women vs State vs National
1.7521918.050.0(-32.0)#11748.0(-30.0)#2,144
2.7523320.050.0(-30.0)#14948.0(-28.0)#2,616
3.7520121.050.0(-29.0)#16448.0(-27.0)#2,867
4.7520323.050.0(-27.0)#19948.0(-25.0)#3,392
5.7520424.050.0(-26.0)#20648.0(-24.0)#3,610
6.7525225.050.0(-25.0)#22548.0(-23.0)#3,912
7.7520226.050.0(-24.0)#25148.0(-22.0)#4,366
8.7523627.050.0(-23.0)#26348.0(-21.0)#4,539
9.7520829.050.0(-21.0)#29648.0(-19.0)#5,068
10.7524831.050.0(-19.0)#33048.0(-17.0)#5,639
11.7528735.050.0(-15.0)#41148.0(-13.0)#6,886
12.7520635.050.0(-15.0)#41548.0(-13.0)#6,913
13.7522836.050.0(-14.0)#42948.0(-12.0)#7,168
14.7523139.050.0(-11.0)#48948.0(-9.00)#8,204
15.7522740.050.0(-10.00)#50848.0(-8.00)#8,470
16.7524140.050.0(-10.00)#51748.0(-8.00)#8,529
17.7525341.050.0(-9.00)#53548.0(-7.00)#8,921
18.7521446.050.0(-4.00)#62348.0(-2.00)#10,528
19.7520547.050.0(-3.00)#64248.0(-1.000)#10,854
20.7522547.050.0(-3.00)#64348.0(-1.000)#10,869
21.7522448.050.0(-2.00)#65948.0(=0.000)#11,115
22.7522350.050.0(=0.000)#70648.0(+2.00)#11,806
23.7521751.050.0(+1.000)#71448.0(+3.00)#11,952
24.7524351.050.0(+1.000)#71548.0(+3.00)#11,958
25.7523554.050.0(+4.00)#77848.0(+6.00)#12,918
26.7523255.050.0(+5.00)#78548.0(+7.00)#13,163
27.7521156.050.0(+6.00)#79448.0(+8.00)#13,378
28.7523056.050.0(+6.00)#80048.0(+8.00)#13,450
29.7524456.050.0(+6.00)#80348.0(+8.00)#13,507
30.7523857.050.0(+7.00)#81948.0(+9.00)#13,705
31.7520964.050.0(+14.0)#93448.0(+16.0)#15,338
32.7521668.050.0(+18.0)#97148.0(+20.0)#16,049
33.7523468.050.0(+18.0)#97548.0(+20.0)#16,075
34.7521568.050.0(+18.0)#97848.0(+20.0)#16,117
35.7524672.050.0(+22.0)#1,01848.0(+24.0)#16,909
36.7522075.050.0(+25.0)#1,04048.0(+27.0)#17,261
37.7522976.050.0(+26.0)#1,05248.0(+28.0)#17,401
38.7524076.050.0(+26.0)#1,05448.0(+28.0)#17,411
39.7525480.050.0(+30.0)#1,08648.0(+32.0)#17,912
40.7521885.050.0(+35.0)#1,11548.0(+37.0)#18,485
41.7523788.050.0(+38.0)#1,12848.0(+40.0)#18,787
42.7521090.050.0(+40.0)#1,14148.0(+42.0)#18,998
43.7521294.050.0(+44.0)#1,15948.0(+46.0)#19,302
44.75249119.050.0(+69.0)#1,25248.0(+71.0)#20,680

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Dallas, TX?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Dallas, TX are:
#1
0.0
#2
0.0
#3
18.0
#4
20.0
#5
21.0
#6
23.0
#7
24.0
#8
25.0
#9
26.0
#10
27.0
What zip code has the Lowest Births per 1,000 Women in Labor Force in Dallas, TX?
75219 has the Lowest Births per 1,000 Women in Labor Force in Dallas, TX with 18.0.
What is the Number Births per 1,000 Women in Labor Force in Dallas, TX?
Number Births per 1,000 Women in Labor Force in Dallas is 47.0.
What is the Number Births per 1,000 Women in Labor Force in Texas?
Number Births per 1,000 Women in Labor Force in Texas is 50.0.
What is the Number Births per 1,000 Women in Labor Force in the United States?
Number Births per 1,000 Women in Labor Force in the United States is 48.0.