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

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Highest 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 Most Births per 1,000 Women Below Poverty Level in Dallas

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

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

Zip Code Births / 1,000 Women vs State vs National
1.75210165.057.0(+108)#8753.0(+112)#1,466
2.75249138.057.0(+81.0)#11253.0(+85.0)#2,045
3.75220109.057.0(+52.0)#19353.0(+56.0)#3,308
4.75246101.057.0(+44.0)#23953.0(+48.0)#3,893
5.7524095.057.0(+38.0)#27053.0(+42.0)#4,377
6.7525394.057.0(+37.0)#28353.0(+41.0)#4,485
7.7523794.057.0(+37.0)#28453.0(+41.0)#4,489
8.7525491.057.0(+34.0)#29553.0(+38.0)#4,756
9.7521888.057.0(+31.0)#31653.0(+35.0)#5,069
10.7521281.057.0(+24.0)#36653.0(+28.0)#5,998
11.7524376.057.0(+19.0)#41353.0(+23.0)#6,779
12.7523074.057.0(+17.0)#44153.0(+21.0)#7,160
13.7521573.057.0(+16.0)#45753.0(+20.0)#7,390
14.7521171.057.0(+14.0)#47753.0(+18.0)#7,752
15.7521669.057.0(+12.0)#50053.0(+16.0)#8,175
16.7523269.057.0(+12.0)#50553.0(+16.0)#8,213
17.7520965.057.0(+8.00)#55953.0(+12.0)#9,238
18.7522964.057.0(+7.00)#57553.0(+11.0)#9,428
19.7524162.057.0(+5.00)#62253.0(+9.00)#10,015
20.7523862.057.0(+5.00)#62353.0(+9.00)#10,018
21.7521759.057.0(+2.00)#67953.0(+6.00)#10,796
22.7522759.057.0(+2.00)#68253.0(+6.00)#10,809
23.7523459.057.0(+2.00)#68953.0(+6.00)#10,861
24.7522559.057.0(+2.00)#69253.0(+6.00)#10,900
25.7520357.057.0(=0.000)#75353.0(+4.00)#11,546
26.7522357.057.0(=0.000)#75453.0(+4.00)#11,563
27.7520653.057.0(-4.00)#82753.0(=0.000)#12,686
28.7523553.057.0(-4.00)#83553.0(=0.000)#12,775
29.7520550.057.0(-7.00)#89053.0(-3.00)#13,767
30.7522449.057.0(-8.00)#90653.0(-4.00)#14,041
31.7521449.057.0(-8.00)#90753.0(-4.00)#14,044
32.7523148.057.0(-9.00)#92353.0(-5.00)#14,397
33.7525248.057.0(-9.00)#92553.0(-5.00)#14,437
34.7524446.057.0(-11.0)#97653.0(-7.00)#15,224
35.7522845.057.0(-12.0)#98453.0(-8.00)#15,398
36.7524843.057.0(-14.0)#1,03553.0(-10.00)#16,193
37.7525142.057.0(-15.0)#1,06953.0(-11.0)#16,749
38.7520838.057.0(-19.0)#1,14653.0(-15.0)#17,939
39.7528736.057.0(-21.0)#1,17453.0(-17.0)#18,552
40.7523632.057.0(-25.0)#1,25853.0(-21.0)#19,942
41.7523331.057.0(-26.0)#1,26753.0(-22.0)#20,245
42.7520425.057.0(-32.0)#1,34653.0(-28.0)#21,794
43.7520121.057.0(-36.0)#1,38753.0(-32.0)#22,829
44.7520221.057.0(-36.0)#1,39453.0(-32.0)#22,942
45.7521919.057.0(-38.0)#1,41053.0(-34.0)#23,270

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Dallas, TX?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Dallas, TX are:
#1
165.0
#2
138.0
#3
109.0
#4
101.0
#5
95.0
#6
94.0
#7
94.0
#8
91.0
#9
88.0
#10
81.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in Dallas, TX?
75210 has the Most Births per 1,000 Women Below Poverty Level in Dallas, TX with 165.0.
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.