Zip Codes with the Highest Poverty Level Among Single Females in Texas

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Highest Poverty | Single Female
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth 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)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth 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
Texas
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Poverty Level Among Single Females in Texas

60.0%
100.0%
Zip Codes with the Highest Poverty Level Among Single Females in Texas Map

Zip Codes with the Highest Poverty Level Among Single Females in Texas

Zip Code Single Female Poverty vs State vs National
1. 79845 100.0% 27.2% (+72.8)#1 24.1% (+75.9)#4
2. 79843 100.0% 27.2% (+72.8)#2 24.1% (+75.9)#9
3. 76687 100.0% 27.2% (+72.8)#3 24.1% (+75.9)#29
4. 79851 100.0% 27.2% (+72.8)#4 24.1% (+75.9)#66
5. 77456 100.0% 27.2% (+72.8)#5 24.1% (+75.9)#70
6. 77873 100.0% 27.2% (+72.8)#6 24.1% (+75.9)#73
7. 75669 100.0% 27.2% (+72.8)#7 24.1% (+75.9)#110
8. 78946 100.0% 27.2% (+72.8)#8 24.1% (+75.9)#125
9. 78161 100.0% 27.2% (+72.8)#9 24.1% (+75.9)#284
10. 78044 100.0% 27.2% (+72.8)#10 24.1% (+75.9)#360
11. 77374 100.0% 27.2% (+72.8)#11 24.1% (+75.9)#377
12. 78008 100.0% 27.2% (+72.8)#12 24.1% (+75.9)#388
13. 79062 100.0% 27.2% (+72.8)#13 24.1% (+75.9)#414
14. 78339 100.0% 27.2% (+72.8)#14 24.1% (+75.9)#421
15. 78943 100.0% 27.2% (+72.8)#15 24.1% (+75.9)#435
16. 76852 100.0% 27.2% (+72.8)#16 24.1% (+75.9)#454
17. 78376 100.0% 27.2% (+72.8)#17 24.1% (+75.9)#480
18. 77326 100.0% 27.2% (+72.8)#18 24.1% (+75.9)#503
19. 76845 100.0% 27.2% (+72.8)#19 24.1% (+75.9)#508
20. 78116 100.0% 27.2% (+72.8)#20 24.1% (+75.9)#520
21. 79503 100.0% 27.2% (+72.8)#21 24.1% (+75.9)#594
22. 78564 100.0% 27.2% (+72.8)#22 24.1% (+75.9)#685
23. 79002 100.0% 27.2% (+72.8)#23 24.1% (+75.9)#697
24. 78125 100.0% 27.2% (+72.8)#24 24.1% (+75.9)#703
25. 75565 96.6% 27.2% (+69.4)#25 24.1% (+72.5)#712
26. 77994 94.9% 27.2% (+67.7)#26 24.1% (+70.8)#717
27. 78944 91.7% 27.2% (+64.5)#27 24.1% (+67.6)#745
28. 78349 91.2% 27.2% (+64.0)#28 24.1% (+67.1)#752
29. 76225 87.8% 27.2% (+60.6)#29 24.1% (+63.7)#798
30. 78873 87.5% 27.2% (+60.3)#30 24.1% (+63.4)#803
31. 76834 87.2% 27.2% (+60.1)#31 24.1% (+63.1)#813
32. 78834 87.2% 27.2% (+60.1)#32 24.1% (+63.1)#814
33. 79778 84.8% 27.2% (+57.7)#33 24.1% (+60.8)#863
34. 79079 83.8% 27.2% (+56.6)#34 24.1% (+59.7)#885
35. 77830 83.3% 27.2% (+56.2)#35 24.1% (+59.3)#889
36. 78877 82.5% 27.2% (+55.3)#36 24.1% (+58.4)#922
37. 78579 82.4% 27.2% (+55.2)#37 24.1% (+58.3)#923
38. 75493 81.0% 27.2% (+53.8)#38 24.1% (+56.9)#966
39. 78576 80.4% 27.2% (+53.2)#39 24.1% (+56.3)#980
40. 78372 80.3% 27.2% (+53.1)#40 24.1% (+56.2)#985
41. 75928 80.0% 27.2% (+52.8)#41 24.1% (+55.9)#993
42. 76872 80.0% 27.2% (+52.8)#42 24.1% (+55.9)#995
43. 76630 79.2% 27.2% (+52.0)#43 24.1% (+55.1)#1,020
44. 78072 78.9% 27.2% (+51.8)#44 24.1% (+54.9)#1,030
45. 76538 77.8% 27.2% (+50.6)#45 24.1% (+53.7)#1,063
46. 79227 76.6% 27.2% (+49.4)#46 24.1% (+52.5)#1,107
47. 75790 75.2% 27.2% (+48.0)#47 24.1% (+51.1)#1,139
48. 79350 75.0% 27.2% (+47.8)#48 24.1% (+50.9)#1,162
49. 76666 75.0% 27.2% (+47.8)#49 24.1% (+50.9)#1,175
50. 76640 74.7% 27.2% (+47.6)#50 24.1% (+50.6)#1,181
51. 75497 74.5% 27.2% (+47.3)#51 24.1% (+50.4)#1,188
52. 76524 73.7% 27.2% (+46.5)#52 24.1% (+49.6)#1,213
53. 77665 73.1% 27.2% (+46.0)#53 24.1% (+49.1)#1,240
54. 75437 72.5% 27.2% (+45.4)#54 24.1% (+48.5)#1,270
55. 75426 72.1% 27.2% (+45.0)#55 24.1% (+48.0)#1,280
56. 79379 72.0% 27.2% (+44.8)#56 24.1% (+47.9)#1,288
57. 76704 71.9% 27.2% (+44.8)#57 24.1% (+47.9)#1,291
58. 79342 71.4% 27.2% (+44.3)#58 24.1% (+47.4)#1,323
59. 79229 71.4% 27.2% (+44.3)#59 24.1% (+47.4)#1,324
60. 76858 71.4% 27.2% (+44.3)#60 24.1% (+47.4)#1,325
61. 76660 71.0% 27.2% (+43.8)#61 24.1% (+46.9)#1,345
62. 79734 70.6% 27.2% (+43.4)#62 24.1% (+46.5)#1,359
63. 76228 70.0% 27.2% (+42.8)#63 24.1% (+45.9)#1,380
64. 79088 69.3% 27.2% (+42.2)#64 24.1% (+45.3)#1,417
65. 75486 69.2% 27.2% (+42.1)#65 24.1% (+45.2)#1,420
66. 76255 69.0% 27.2% (+41.8)#66 24.1% (+44.9)#1,436
67. 75163 68.2% 27.2% (+41.0)#67 24.1% (+44.1)#1,482
68. 75759 68.2% 27.2% (+41.0)#68 24.1% (+44.1)#1,485
69. 78022 68.1% 27.2% (+41.0)#69 24.1% (+44.0)#1,486
70. 78014 67.7% 27.2% (+40.5)#70 24.1% (+43.6)#1,499
71. 75155 67.7% 27.2% (+40.5)#71 24.1% (+43.6)#1,500
72. 76431 67.7% 27.2% (+40.5)#72 24.1% (+43.6)#1,501
73. 78160 67.1% 27.2% (+40.0)#73 24.1% (+43.1)#1,530
74. 76374 67.0% 27.2% (+39.8)#74 24.1% (+42.9)#1,538
75. 75447 66.7% 27.2% (+39.5)#75 24.1% (+42.6)#1,564
76. 79046 66.7% 27.2% (+39.5)#76 24.1% (+42.6)#1,584
77. 79749 66.7% 27.2% (+39.5)#77 24.1% (+42.6)#1,585
78. 76357 66.7% 27.2% (+39.5)#78 24.1% (+42.6)#1,591
79. 75492 66.7% 27.2% (+39.5)#79 24.1% (+42.6)#1,609
80. 76701 66.3% 27.2% (+39.1)#80 24.1% (+42.2)#1,650
81. 77360 66.1% 27.2% (+38.9)#81 24.1% (+42.0)#1,662
82. 77362 65.9% 27.2% (+38.8)#82 24.1% (+41.9)#1,669
83. 79718 65.5% 27.2% (+38.4)#83 24.1% (+41.4)#1,688
84. 75944 65.2% 27.2% (+38.1)#84 24.1% (+41.1)#1,707
85. 78369 65.2% 27.2% (+38.1)#85 24.1% (+41.1)#1,710
86. 79312 65.0% 27.2% (+37.8)#86 24.1% (+40.9)#1,720
87. 77951 65.0% 27.2% (+37.8)#87 24.1% (+40.9)#1,727
88. 76351 64.6% 27.2% (+37.4)#88 24.1% (+40.5)#1,748
89. 75413 64.3% 27.2% (+37.1)#89 24.1% (+40.2)#1,785
90. 76366 64.2% 27.2% (+37.0)#90 24.1% (+40.1)#1,790
91. 78159 64.1% 27.2% (+36.9)#91 24.1% (+40.0)#1,796
92. 75852 63.8% 27.2% (+36.7)#92 24.1% (+39.8)#1,810
93. 76544 63.7% 27.2% (+36.6)#93 24.1% (+39.7)#1,814
94. 76518 63.3% 27.2% (+36.1)#94 24.1% (+39.2)#1,858
95. 75792 62.9% 27.2% (+35.7)#95 24.1% (+38.8)#1,890
96. 77419 62.8% 27.2% (+35.6)#96 24.1% (+38.7)#1,900
97. 77514 62.7% 27.2% (+35.6)#97 24.1% (+38.7)#1,903
98. 77327 62.6% 27.2% (+35.4)#98 24.1% (+38.5)#1,913
99. 79529 62.5% 27.2% (+35.3)#99 24.1% (+38.4)#1,931
100. 75961 62.4% 27.2% (+35.2)#100 24.1% (+38.3)#1,948

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Single Females in Texas?
Top 10 Zip Codes with the Highest Poverty Level Among Single Females in Texas are:
#1
100.0%
#2
100.0%
#3
100.0%
#4
100.0%
#5
100.0%
#6
100.0%
#7
100.0%
#8
100.0%
#9
100.0%
#10
100.0%
What zip code has the Highest Poverty Level Among Single Females in Texas?
79845 has the Highest Poverty Level Among Single Females in Texas with 100.0%.
What is the Poverty Level Among Single Females in the State of Texas?
Poverty Level Among Single Females in Texas is 27.2%.
What is the Poverty Level Among Single Females in the United States?
Poverty Level Among Single Females in the United States is 24.1%.