Zip Codes with the Longest Median Commute Time to Work for Females in Houston, TX

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Longest Commute | Female
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 Longest Median Commute Time to Work for Females in Houston

00:13:33
00:33:00
Zip Codes with the Longest Median Commute Time to Work for Females in Houston Map

Zip Codes with the Longest Median Commute Time to Work for Females in Houston, TX

Zip Code Commute Time vs State vs National
1. 77044 00:33:00 00:24:13 (+8.79)#159 00:24:50 (+8.16)#3,460
2. 77078 00:32:36 00:24:13 (+8.40)#175 00:24:50 (+7.77)#3,721
3. 77095 00:32:10 00:24:13 (+7.96)#187 00:24:50 (+7.33)#4,041
4. 77047 00:31:39 00:24:13 (+7.44)#208 00:24:50 (+6.82)#4,440
5. 77083 00:31:18 00:24:13 (+7.09)#226 00:24:50 (+6.47)#4,739
6. 77066 00:31:05 00:24:13 (+6.87)#237 00:24:50 (+6.25)#4,933
7. 77071 00:30:50 00:24:13 (+6.62)#250 00:24:50 (+5.99)#5,164
8. 77067 00:30:41 00:24:13 (+6.48)#260 00:24:50 (+5.85)#5,286
9. 77094 00:30:40 00:24:13 (+6.46)#261 00:24:50 (+5.84)#5,301
10. 77028 00:30:25 00:24:13 (+6.21)#274 00:24:50 (+5.58)#5,522
11. 77068 00:30:20 00:24:13 (+6.13)#277 00:24:50 (+5.50)#5,602
12. 77069 00:30:10 00:24:13 (+5.96)#286 00:24:50 (+5.34)#5,767
13. 77038 00:29:52 00:24:13 (+5.65)#309 00:24:50 (+5.03)#6,096
14. 77077 00:29:34 00:24:13 (+5.36)#329 00:24:50 (+4.74)#6,429
15. 77053 00:29:32 00:24:13 (+5.33)#334 00:24:50 (+4.70)#6,466
16. 77084 00:29:32 00:24:13 (+5.32)#335 00:24:50 (+4.70)#6,470
17. 77048 00:29:23 00:24:13 (+5.17)#346 00:24:50 (+4.55)#6,648
18. 77014 00:29:18 00:24:13 (+5.08)#353 00:24:50 (+4.46)#6,750
19. 77032 00:29:06 00:24:13 (+4.89)#365 00:24:50 (+4.27)#6,982
20. 77090 00:28:53 00:24:13 (+4.68)#372 00:24:50 (+4.05)#7,239
21. 77016 00:28:45 00:24:13 (+4.54)#380 00:24:50 (+3.92)#7,405
22. 77082 00:28:20 00:24:13 (+4.12)#409 00:24:50 (+3.50)#7,952
23. 77041 00:28:19 00:24:13 (+4.10)#411 00:24:50 (+3.48)#7,985
24. 77051 00:28:12 00:24:13 (+3.99)#423 00:24:50 (+3.37)#8,122
25. 77070 00:28:11 00:24:13 (+3.97)#424 00:24:50 (+3.35)#8,151
26. 77059 00:28:10 00:24:13 (+3.96)#426 00:24:50 (+3.33)#8,171
27. 77086 00:28:03 00:24:13 (+3.84)#434 00:24:50 (+3.22)#8,333
28. 77073 00:28:02 00:24:13 (+3.82)#435 00:24:50 (+3.19)#8,363
29. 77037 00:27:58 00:24:13 (+3.76)#442 00:24:50 (+3.14)#8,455
30. 77040 00:27:53 00:24:13 (+3.68)#450 00:24:50 (+3.06)#8,564
31. 77061 00:27:44 00:24:13 (+3.52)#463 00:24:50 (+2.90)#8,774
32. 77072 00:27:15 00:24:13 (+3.05)#492 00:24:50 (+2.42)#9,509
33. 77026 00:27:13 00:24:13 (+3.01)#497 00:24:50 (+2.39)#9,560
34. 77042 00:27:06 00:24:13 (+2.89)#505 00:24:50 (+2.27)#9,742
35. 77035 00:27:06 00:24:13 (+2.89)#507 00:24:50 (+2.27)#9,747
36. 77075 00:27:04 00:24:13 (+2.86)#510 00:24:50 (+2.23)#9,803
37. 77033 00:27:02 00:24:13 (+2.82)#511 00:24:50 (+2.20)#9,850
38. 77029 00:27:00 00:24:13 (+2.79)#512 00:24:50 (+2.17)#9,891
39. 77064 00:27:00 00:24:13 (+2.79)#513 00:24:50 (+2.17)#9,896
40. 77065 00:26:54 00:24:13 (+2.69)#525 00:24:50 (+2.06)#10,075
41. 77085 00:26:45 00:24:13 (+2.54)#535 00:24:50 (+1.92)#10,305
42. 77088 00:26:42 00:24:13 (+2.49)#538 00:24:50 (+1.87)#10,379
43. 77089 00:26:40 00:24:13 (+2.46)#539 00:24:50 (+1.84)#10,415
44. 77063 00:26:40 00:24:13 (+2.45)#541 00:24:50 (+1.83)#10,442
45. 77045 00:26:39 00:24:13 (+2.45)#542 00:24:50 (+1.82)#10,458
46. 77050 00:26:26 00:24:13 (+2.22)#564 00:24:50 (+1.59)#10,796
47. 77031 00:26:22 00:24:13 (+2.16)#567 00:24:50 (+1.53)#10,886
48. 77011 00:26:14 00:24:13 (+2.02)#579 00:24:50 (+1.40)#11,121
49. 77076 00:26:12 00:24:13 (+1.99)#583 00:24:50 (+1.36)#11,184
50. 77049 00:26:02 00:24:13 (+1.82)#597 00:24:50 (+1.19)#11,478
51. 77058 00:25:55 00:24:13 (+1.71)#607 00:24:50 (+1.08)#11,662
52. 77081 00:25:50 00:24:13 (+1.63)#613 00:24:50 (+1.01)#11,785
53. 77036 00:25:50 00:24:13 (+1.62)#614 00:24:50 (+1.00)#11,801
54. 77093 00:25:42 00:24:13 (+1.48)#634 00:24:50 (+0.861)#12,037
55. 77021 00:25:40 00:24:13 (+1.45)#638 00:24:50 (+0.825)#12,103
56. 77079 00:25:34 00:24:13 (+1.36)#644 00:24:50 (+0.733)#12,244
57. 77039 00:25:29 00:24:13 (+1.28)#655 00:24:50 (+0.652)#12,396
58. 77060 00:25:27 00:24:13 (+1.24)#659 00:24:50 (+0.617)#12,471
59. 77008 00:25:22 00:24:13 (+1.15)#673 00:24:50 (+0.528)#12,672
60. 77012 00:25:18 00:24:13 (+1.09)#680 00:24:50 (+0.471)#12,772
61. 77092 00:25:07 00:24:13 (+0.913)#704 00:24:50 (+0.290)#13,085
62. 77018 00:25:04 00:24:13 (+0.852)#707 00:24:50 (+0.228)#13,203
63. 77099 00:25:03 00:24:13 (+0.840)#708 00:24:50 (+0.217)#13,220
64. 77074 00:25:01 00:24:13 (+0.809)#715 00:24:50 (+0.186)#13,285
65. 77022 00:24:52 00:24:13 (+0.651)#731 00:24:50 (+0.028)#13,577
66. 77091 00:24:40 00:24:13 (+0.464)#748 00:24:50 (-0.159)#13,935
67. 77007 00:24:25 00:24:13 (+0.200)#772 00:24:50 (-0.423)#14,426
68. 77009 00:24:25 00:24:13 (+0.199)#773 00:24:50 (-0.424)#14,428
69. 77015 00:24:20 00:24:13 (+0.124)#783 00:24:50 (-0.500)#14,582
70. 77096 00:23:54 00:24:13 (-0.305)#830 00:24:50 (-0.928)#15,431
71. 77087 00:23:43 00:24:13 (-0.495)#843 00:24:50 (-1.12)#15,758
72. 77080 00:23:42 00:24:13 (-0.509)#845 00:24:50 (-1.13)#15,783
73. 77062 00:23:33 00:24:13 (-0.657)#857 00:24:50 (-1.28)#16,080
74. 77055 00:23:23 00:24:13 (-0.824)#871 00:24:50 (-1.45)#16,427
75. 77057 00:23:22 00:24:13 (-0.837)#874 00:24:50 (-1.46)#16,452
76. 77010 00:23:21 00:24:13 (-0.858)#875 00:24:50 (-1.48)#16,486
77. 77017 00:23:18 00:24:13 (-0.917)#879 00:24:50 (-1.54)#16,599
78. 77043 00:23:17 00:24:13 (-0.923)#880 00:24:50 (-1.55)#16,613
79. 77034 00:23:12 00:24:13 (-1.01)#889 00:24:50 (-1.63)#16,789
80. 77003 00:23:02 00:24:13 (-1.18)#904 00:24:50 (-1.80)#17,081
81. 77020 00:22:49 00:24:13 (-1.39)#924 00:24:50 (-2.02)#17,490
82. 77023 00:22:43 00:24:13 (-1.49)#937 00:24:50 (-2.11)#17,665
83. 77004 00:22:41 00:24:13 (-1.54)#943 00:24:50 (-2.16)#17,756
84. 77019 00:22:27 00:24:13 (-1.77)#964 00:24:50 (-2.39)#18,193
85. 77054 00:22:26 00:24:13 (-1.79)#967 00:24:50 (-2.41)#18,229
86. 77025 00:22:13 00:24:13 (-2.00)#985 00:24:50 (-2.62)#18,623
87. 77013 00:21:15 00:24:13 (-2.96)#1,083 00:24:50 (-3.58)#20,426
88. 77024 00:21:12 00:24:13 (-3.01)#1,088 00:24:50 (-3.63)#20,518
89. 77002 00:21:10 00:24:13 (-3.05)#1,091 00:24:50 (-3.67)#20,590
90. 77056 00:20:17 00:24:13 (-3.93)#1,182 00:24:50 (-4.55)#22,079
91. 77030 00:20:13 00:24:13 (-4.00)#1,187 00:24:50 (-4.62)#22,194
92. 77006 00:20:08 00:24:13 (-4.08)#1,195 00:24:50 (-4.70)#22,332
93. 77098 00:19:43 00:24:13 (-4.49)#1,227 00:24:50 (-5.11)#22,954
94. 77027 00:19:42 00:24:13 (-4.52)#1,229 00:24:50 (-5.14)#23,003
95. 77005 00:19:02 00:24:13 (-5.17)#1,277 00:24:50 (-5.80)#24,025
96. 77046 00:13:42 00:24:13 (-10.5)#1,616 00:24:50 (-11.1)#28,821
97. 77204 00:13:33 00:24:13 (-10.7)#1,619 00:24:50 (-11.3)#28,889

Common Questions

What are the Top 10 Zip Codes with the Longest Median Commute Time to Work for Females in Houston, TX?
Top 10 Zip Codes with the Longest Median Commute Time to Work for Females in Houston, TX are:
#1
00:33:00
#2
00:32:36
#3
00:32:10
#4
00:31:39
#5
00:31:18
#6
00:31:05
#7
00:30:50
#8
00:30:41
#9
00:30:40
#10
00:30:25
What zip code has the Longest Median Commute Time to Work for Females in Houston, TX?
77044 has the Longest Median Commute Time to Work for Females in Houston, TX with 00:33:00.
What is the Median Commute Time to Work for Females in Houston, TX?
Median Commute Time to Work for Females in Houston is 00:25:33.
What is the Median Commute Time to Work for Females in Texas?
Median Commute Time to Work for Females in Texas is 00:24:13.
What is the Median Commute Time to Work for Females in the United States?
Median Commute Time to Work for Females in the United States is 00:24:50.