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

RELATED REPORTS & OPTIONS

Lowest Birth Rate | Below Poverty
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAlsatianAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChippewaChoctawColombianComancheCosta RicanCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsagePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuebloPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTrinidadian and TobagonianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYaquiYugoslavian
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAlsatianAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChippewaChoctawColombianComancheCosta RicanCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsagePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuebloPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTrinidadian and TobagonianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYaquiYugoslavian
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaMalaysiaMexicoMicronesiaMiddle AfricaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaMalaysiaMexicoMicronesiaMiddle AfricaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad 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
Houston
Compare Zip Codes
Comparison Subject

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

150.0
0.0
Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Houston Map

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

Zip Code Births / 1,000 Women vs State vs National
1.770025.057.0(-52.0)#1153.0(-48.0)#138
2.770987.057.0(-50.0)#1953.0(-46.0)#284
3.7702717.057.0(-40.0)#7953.0(-36.0)#1,662
4.7705817.057.0(-40.0)#8053.0(-36.0)#1,663
5.7701920.057.0(-37.0)#10553.0(-33.0)#2,217
6.7705421.057.0(-36.0)#11453.0(-32.0)#2,443
7.7700627.057.0(-30.0)#18553.0(-26.0)#3,967
8.7702628.057.0(-29.0)#20453.0(-25.0)#4,260
9.7704530.057.0(-27.0)#23153.0(-23.0)#4,753
10.7702432.057.0(-25.0)#25553.0(-21.0)#5,345
11.7704135.057.0(-22.0)#29453.0(-18.0)#6,299
12.7706536.057.0(-21.0)#31753.0(-17.0)#6,577
13.7702536.057.0(-21.0)#32253.0(-17.0)#6,607
14.7708938.057.0(-19.0)#35853.0(-15.0)#7,222
15.7701639.057.0(-18.0)#38353.0(-14.0)#7,655
16.7709439.057.0(-18.0)#39253.0(-14.0)#7,761
17.7700440.057.0(-17.0)#40353.0(-13.0)#7,992
18.7705141.057.0(-16.0)#41953.0(-12.0)#8,393
19.7701141.057.0(-16.0)#42053.0(-12.0)#8,396
20.7706841.057.0(-16.0)#42453.0(-12.0)#8,425
21.7708342.057.0(-15.0)#43853.0(-11.0)#8,605
22.7705942.057.0(-15.0)#44253.0(-11.0)#8,746
23.7707443.057.0(-14.0)#46653.0(-10.00)#9,011
24.7707143.057.0(-14.0)#47053.0(-10.00)#9,059
25.7705643.057.0(-14.0)#47353.0(-10.00)#9,087
26.7703043.057.0(-14.0)#47653.0(-10.00)#9,127
27.7702344.057.0(-13.0)#49653.0(-9.00)#9,433
28.7706645.057.0(-12.0)#51553.0(-8.00)#9,767
29.7705045.057.0(-12.0)#52353.0(-8.00)#9,927
30.7708647.057.0(-10.00)#55653.0(-6.00)#10,505
31.7702948.057.0(-9.00)#58353.0(-5.00)#10,914
32.7707249.057.0(-8.00)#59453.0(-4.00)#11,113
33.7702149.057.0(-8.00)#60753.0(-4.00)#11,208
34.7705750.057.0(-7.00)#62153.0(-3.00)#11,508
35.7703651.057.0(-6.00)#63653.0(-2.00)#11,815
36.7704951.057.0(-6.00)#64053.0(-2.00)#11,855
37.7708751.057.0(-6.00)#64153.0(-2.00)#11,872
38.7709552.057.0(-5.00)#65553.0(-1.000)#12,167
39.7708252.057.0(-5.00)#65753.0(-1.000)#12,182
40.7707552.057.0(-5.00)#66053.0(-1.000)#12,202
41.7703152.057.0(-5.00)#66753.0(-1.000)#12,309
42.7703453.057.0(-4.00)#68153.0(=0.000)#12,525
43.7708155.057.0(-2.00)#71653.0(+2.00)#13,132
44.7704256.057.0(-1.000)#73953.0(+3.00)#13,452
45.7703556.057.0(-1.000)#74153.0(+3.00)#13,473
46.7703356.057.0(-1.000)#74453.0(+3.00)#13,498
47.7708457.057.0(=0.000)#75353.0(+4.00)#13,740
48.7704457.057.0(=0.000)#76053.0(+4.00)#13,753
49.7700958.057.0(+1.000)#78353.0(+5.00)#14,104
50.7707658.057.0(+1.000)#78553.0(+5.00)#14,116
51.7702058.057.0(+1.000)#79153.0(+5.00)#14,159
52.7707759.057.0(+2.00)#81153.0(+6.00)#14,363
53.7707959.057.0(+2.00)#81853.0(+6.00)#14,419
54.7707859.057.0(+2.00)#82653.0(+6.00)#14,491
55.7700359.057.0(+2.00)#82853.0(+6.00)#14,517
56.7704060.057.0(+3.00)#83653.0(+7.00)#14,668
57.7705560.057.0(+3.00)#83953.0(+7.00)#14,681
58.7709260.057.0(+3.00)#84353.0(+7.00)#14,706
59.7700761.057.0(+4.00)#86353.0(+8.00)#14,987
60.7706262.057.0(+5.00)#89253.0(+9.00)#15,327
61.7705364.057.0(+7.00)#93353.0(+11.0)#15,856
62.7709366.057.0(+9.00)#96253.0(+13.0)#16,345
63.7709666.057.0(+9.00)#96353.0(+13.0)#16,371
64.7708067.057.0(+10.00)#97853.0(+14.0)#16,605
65.7707368.057.0(+11.0)#99253.0(+15.0)#16,859
66.7706469.057.0(+12.0)#1,00753.0(+16.0)#17,062
67.7704769.057.0(+12.0)#1,00953.0(+16.0)#17,093
68.7708569.057.0(+12.0)#1,01553.0(+16.0)#17,147
69.7700872.057.0(+15.0)#1,04053.0(+19.0)#17,718
70.7700572.057.0(+15.0)#1,04253.0(+19.0)#17,742
71.7707073.057.0(+16.0)#1,05153.0(+20.0)#17,900
72.7706173.057.0(+16.0)#1,05453.0(+20.0)#17,943
73.7708874.057.0(+17.0)#1,06353.0(+21.0)#18,123
74.7703774.057.0(+17.0)#1,06953.0(+21.0)#18,169
75.7706375.057.0(+18.0)#1,07953.0(+22.0)#18,323
76.7701581.057.0(+24.0)#1,14053.0(+28.0)#19,315
77.7709981.057.0(+24.0)#1,14153.0(+28.0)#19,320
78.7701781.057.0(+24.0)#1,14553.0(+28.0)#19,334
79.7702881.057.0(+24.0)#1,14953.0(+28.0)#19,359
80.7706782.057.0(+25.0)#1,15753.0(+29.0)#19,490
81.7706085.057.0(+28.0)#1,17253.0(+32.0)#19,893
82.7701386.057.0(+29.0)#1,17853.0(+33.0)#20,045
83.7702287.057.0(+30.0)#1,18553.0(+34.0)#20,156
84.7704890.057.0(+33.0)#1,20853.0(+37.0)#20,512
85.7703291.057.0(+34.0)#1,21653.0(+38.0)#20,617
86.7701896.057.0(+39.0)#1,24753.0(+43.0)#21,081
87.7703996.057.0(+39.0)#1,24853.0(+43.0)#21,082
88.7709099.057.0(+42.0)#1,26253.0(+46.0)#21,352
89.77043101.057.0(+44.0)#1,27453.0(+48.0)#21,537
90.77038104.057.0(+47.0)#1,28953.0(+51.0)#21,747
91.77069105.057.0(+48.0)#1,29453.0(+52.0)#21,816
92.77091106.057.0(+49.0)#1,30253.0(+53.0)#21,883
93.77014113.057.0(+56.0)#1,33753.0(+60.0)#22,331
94.77012127.057.0(+70.0)#1,37353.0(+74.0)#22,975

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Houston, TX?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Houston, TX are:
#1
5.0
#2
7.0
#3
17.0
#4
17.0
#5
20.0
#6
21.0
#7
27.0
#8
28.0
#9
30.0
#10
32.0
What zip code has the Fewest Births per 1,000 Women Below Poverty Level in Houston, TX?
77002 has the Fewest Births per 1,000 Women Below Poverty Level in Houston, TX with 5.0.
What is the Number of Births per 1,000 Women Below Poverty Level in Houston, TX?
Number of Births per 1,000 Women Below Poverty Level in Houston is 57.0.
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.