Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Dallas, TX

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Lowest Birth Rate | Below Poverty
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 Fewest Births per 1,000 Women Below Poverty Level in Dallas

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Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Dallas Map

Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Dallas, TX

Zip Code Births / 1,000 Women vs State vs National
1.7521919.057.0(-38.0)#9953.0(-34.0)#2,015
2.7520121.057.0(-36.0)#11653.0(-32.0)#2,464
3.7520221.057.0(-36.0)#12353.0(-32.0)#2,577
4.7520425.057.0(-32.0)#15653.0(-28.0)#3,410
5.7523331.057.0(-26.0)#24553.0(-22.0)#5,121
6.7523632.057.0(-25.0)#25653.0(-21.0)#5,403
7.7528736.057.0(-21.0)#31453.0(-17.0)#6,548
8.7520838.057.0(-19.0)#36653.0(-15.0)#7,284
9.7525142.057.0(-15.0)#45353.0(-11.0)#8,864
10.7524843.057.0(-14.0)#46853.0(-10.00)#9,016
11.7522845.057.0(-12.0)#51353.0(-8.00)#9,722
12.7524446.057.0(-11.0)#54253.0(-7.00)#10,252
13.7523148.057.0(-9.00)#57853.0(-5.00)#10,810
14.7525248.057.0(-9.00)#58053.0(-5.00)#10,850
15.7522449.057.0(-8.00)#60253.0(-4.00)#11,155
16.7521449.057.0(-8.00)#60353.0(-4.00)#11,158
17.7520550.057.0(-7.00)#62553.0(-3.00)#11,589
18.7520653.057.0(-4.00)#68053.0(=0.000)#12,520
19.7523553.057.0(-4.00)#68853.0(=0.000)#12,609
20.7520357.057.0(=0.000)#77053.0(+4.00)#13,889
21.7522357.057.0(=0.000)#77153.0(+4.00)#13,906
22.7521759.057.0(+2.00)#80953.0(+6.00)#14,355
23.7522759.057.0(+2.00)#81253.0(+6.00)#14,368
24.7523459.057.0(+2.00)#81953.0(+6.00)#14,420
25.7522559.057.0(+2.00)#82253.0(+6.00)#14,459
26.7524162.057.0(+5.00)#88953.0(+9.00)#15,304
27.7523862.057.0(+5.00)#89053.0(+9.00)#15,307
28.7522964.057.0(+7.00)#93253.0(+11.0)#15,850
29.7520965.057.0(+8.00)#94953.0(+12.0)#16,174
30.7521669.057.0(+12.0)#1,00553.0(+16.0)#17,057
31.7523269.057.0(+12.0)#1,01053.0(+16.0)#17,095
32.7521171.057.0(+14.0)#1,02653.0(+18.0)#17,470
33.7521573.057.0(+16.0)#1,05553.0(+20.0)#17,960
34.7523074.057.0(+17.0)#1,06753.0(+21.0)#18,146
35.7524376.057.0(+19.0)#1,08853.0(+23.0)#18,492
36.7521281.057.0(+24.0)#1,14753.0(+28.0)#19,344
37.7521888.057.0(+31.0)#1,19353.0(+35.0)#20,283
38.7525491.057.0(+34.0)#1,21353.0(+38.0)#20,609
39.7525394.057.0(+37.0)#1,23253.0(+41.0)#20,894
40.7523794.057.0(+37.0)#1,23353.0(+41.0)#20,898
41.7524095.057.0(+38.0)#1,23453.0(+42.0)#20,977
42.75246101.057.0(+44.0)#1,27553.0(+48.0)#21,565
43.75220109.057.0(+52.0)#1,31853.0(+56.0)#22,088
44.75249138.057.0(+81.0)#1,39853.0(+85.0)#23,364
45.75210165.057.0(+108)#1,42653.0(+112)#23,967

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Dallas, TX?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Dallas, TX are:
#1
0.0
#2
19.0
#3
21.0
#4
21.0
#5
25.0
#6
31.0
#7
32.0
#8
36.0
#9
38.0
#10
42.0
What zip code has the Fewest Births per 1,000 Women Below Poverty Level in Dallas, TX?
75219 has the Fewest Births per 1,000 Women Below Poverty Level in Dallas, TX with 19.0.
What is the Number of Births per 1,000 Women Below Poverty Level in Dallas, TX?
Number of Births per 1,000 Women Below Poverty Level in Dallas is 60.0.
What is the Number of Births per 1,000 Women Below Poverty Level in Texas?
Number of Births per 1,000 Women Below Poverty Level in Texas is 57.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the United States?
Number of Births per 1,000 Women Below Poverty Level in the United States is 53.0.