Zip Codes with the Longest Median Commute Time to Work for Females in Ohio

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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 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
Ohio
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Longest Median Commute Time to Work for Females in Ohio

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01:20:00
Zip Codes with the Longest Median Commute Time to Work for Females in Ohio Map

Zip Codes with the Longest Median Commute Time to Work for Females in Ohio

Zip Code Commute Time vs State vs National
1.4569501:00:5000:21:56(+38.9)#100:24:50(+36.0)#95
2.4332000:52:4500:21:56(+30.8)#200:24:50(+27.9)#202
3.4310900:51:1500:21:56(+29.3)#300:24:50(+26.4)#228
4.4565000:49:3000:21:56(+27.6)#400:24:50(+24.7)#290
5.4390500:48:3000:21:56(+26.6)#500:24:50(+23.7)#331
6.4372000:47:4400:21:56(+25.8)#600:24:50(+22.9)#358
7.4373800:47:3600:21:56(+25.7)#700:24:50(+22.8)#364
8.4384000:47:2500:21:56(+25.5)#800:24:50(+22.6)#378
9.4569800:45:4800:21:56(+23.9)#900:24:50(+21.0)#466
10.4571100:44:4900:21:56(+22.9)#1000:24:50(+20.0)#530
11.4334200:44:2200:21:56(+22.4)#1100:24:50(+19.5)#576
12.4469900:44:0800:21:56(+22.2)#1200:24:50(+19.3)#595
13.4573400:43:3100:21:56(+21.6)#1300:24:50(+18.7)#653
14.4561600:43:1300:21:56(+21.3)#1400:24:50(+18.4)#674
15.4567100:42:1100:21:56(+20.2)#1500:24:50(+17.3)#784
16.4374800:41:1500:21:56(+19.3)#1600:24:50(+16.4)#899
17.4565800:41:0000:21:56(+19.1)#1700:24:50(+16.2)#921
18.4515800:40:4500:21:56(+18.8)#1800:24:50(+15.9)#951
19.4464400:40:1900:21:56(+18.4)#1900:24:50(+15.5)#1,018
20.4567200:40:1100:21:56(+18.2)#2000:24:50(+15.4)#1,043
21.4482600:40:0700:21:56(+18.2)#2100:24:50(+15.3)#1,056
22.4315200:39:2200:21:56(+17.4)#2200:24:50(+14.5)#1,183
23.4514600:39:1300:21:56(+17.3)#2300:24:50(+14.4)#1,204
24.4511800:39:1000:21:56(+17.2)#2400:24:50(+14.3)#1,211
25.4515300:39:0800:21:56(+17.2)#2500:24:50(+14.3)#1,218
26.4378700:38:4200:21:56(+16.8)#2600:24:50(+13.9)#1,301
27.4445500:38:2200:21:56(+16.4)#2700:24:50(+13.5)#1,372
28.4444900:38:0400:21:56(+16.1)#2800:24:50(+13.2)#1,438
29.4563400:37:3400:21:56(+15.6)#2900:24:50(+12.7)#1,578
30.4316400:37:2000:21:56(+15.4)#3000:24:50(+12.5)#1,646
31.4377100:37:2000:21:56(+15.4)#3100:24:50(+12.5)#1,648
32.4576600:36:5700:21:56(+15.0)#3200:24:50(+12.1)#1,756
33.4313500:36:5700:21:56(+15.0)#3300:24:50(+12.1)#1,758
34.4517100:36:3300:21:56(+14.6)#3400:24:50(+11.7)#1,870
35.4569600:36:2400:21:56(+14.5)#3500:24:50(+11.6)#1,910
36.4505300:36:0800:21:56(+14.2)#3600:24:50(+11.3)#2,006
37.4507000:35:3500:21:56(+13.6)#3700:24:50(+10.7)#2,225
38.4574500:35:3000:21:56(+13.6)#3800:24:50(+10.7)#2,250
39.4378300:35:1600:21:56(+13.3)#3900:24:50(+10.4)#2,327
40.4372700:35:1200:21:56(+13.3)#4000:24:50(+10.4)#2,362
41.4409900:35:0100:21:56(+13.1)#4100:24:50(+10.2)#2,423
42.4412700:35:0000:21:56(+13.1)#4200:24:50(+10.2)#2,429
43.4308000:34:5700:21:56(+13.0)#4300:24:50(+10.1)#2,464
44.4464000:34:5300:21:56(+12.9)#4400:24:50(+10.0)#2,488
45.4487800:34:5200:21:56(+12.9)#4500:24:50(+10.0)#2,502
46.4487400:34:3600:21:56(+12.7)#4600:24:50(+9.77)#2,632
47.4462000:34:3400:21:56(+12.6)#4700:24:50(+9.73)#2,656
48.4577200:34:1700:21:56(+12.3)#4800:24:50(+9.44)#2,800
49.4515600:34:1700:21:56(+12.3)#4900:24:50(+9.44)#2,802
50.4569300:34:1500:21:56(+12.3)#5000:24:50(+9.42)#2,809
51.4465100:34:1500:21:56(+12.3)#5100:24:50(+9.41)#2,812
52.4568400:34:1300:21:56(+12.3)#5200:24:50(+9.38)#2,829
53.4302800:34:1000:21:56(+12.2)#5300:24:50(+9.34)#2,848
54.4536900:34:0800:21:56(+12.2)#5400:24:50(+9.30)#2,865
55.4531700:33:4600:21:56(+11.8)#5500:24:50(+8.93)#3,023
56.4314500:33:4200:21:56(+11.8)#5600:24:50(+8.87)#3,060
57.4371600:33:3600:21:56(+11.7)#5700:24:50(+8.76)#3,119
58.4303300:33:3500:21:56(+11.7)#5800:24:50(+8.76)#3,123
59.4565900:33:2700:21:56(+11.5)#5900:24:50(+8.61)#3,192
60.4301400:33:2300:21:56(+11.4)#6000:24:50(+8.55)#3,229
61.4566000:33:1800:21:56(+11.4)#6100:24:50(+8.46)#3,276
62.4376000:33:1300:21:56(+11.3)#6200:24:50(+8.39)#3,309
63.4335900:33:1200:21:56(+11.3)#6300:24:50(+8.37)#3,317
64.4572400:33:1200:21:56(+11.3)#6400:24:50(+8.37)#3,320
65.4573500:33:1000:21:56(+11.2)#6500:24:50(+8.34)#3,339
66.4516200:33:0200:21:56(+11.1)#6600:24:50(+8.20)#3,434
67.4393300:32:5200:21:56(+10.9)#6700:24:50(+8.03)#3,533
68.4464300:32:4800:21:56(+10.9)#6800:24:50(+7.97)#3,576
69.4408600:32:4400:21:56(+10.8)#6900:24:50(+7.90)#3,635
70.4310700:32:3900:21:56(+10.7)#7000:24:50(+7.82)#3,688
71.4312600:32:3700:21:56(+10.7)#7100:24:50(+7.79)#3,704
72.4315600:32:3700:21:56(+10.7)#7200:24:50(+7.78)#3,716
73.4393900:32:3600:21:56(+10.7)#7300:24:50(+7.76)#3,735
74.4406400:32:2800:21:56(+10.5)#7400:24:50(+7.63)#3,837
75.4567900:32:1900:21:56(+10.4)#7500:24:50(+7.49)#3,927
76.4513000:32:1800:21:56(+10.4)#7600:24:50(+7.47)#3,931
77.4314900:32:1600:21:56(+10.3)#7700:24:50(+7.43)#3,964
78.4315700:32:1500:21:56(+10.3)#7800:24:50(+7.42)#3,974
79.4335800:32:1200:21:56(+10.3)#7900:24:50(+7.37)#4,016
80.4408500:32:1000:21:56(+10.2)#8000:24:50(+7.33)#4,044
81.4374900:32:0900:21:56(+10.2)#8100:24:50(+7.32)#4,047
82.4383700:32:0900:21:56(+10.2)#8200:24:50(+7.32)#4,050
83.4345800:32:0800:21:56(+10.2)#8300:24:50(+7.29)#4,072
84.4375800:31:5900:21:56(+10.0)#8400:24:50(+7.15)#4,182
85.4512300:31:5800:21:56(+10.0)#8500:24:50(+7.13)#4,195
86.4565700:31:5700:21:56(+10.0)#8600:24:50(+7.12)#4,204
87.4440100:31:4100:21:56(+9.74)#8700:24:50(+6.85)#4,407
88.4536100:31:3500:21:56(+9.64)#8800:24:50(+6.75)#4,501
89.4423500:31:2900:21:56(+9.55)#8900:24:50(+6.65)#4,574
90.4572300:31:2800:21:56(+9.53)#9000:24:50(+6.64)#4,585
91.4335000:31:2700:21:56(+9.51)#9100:24:50(+6.61)#4,606
92.4306600:31:2700:21:56(+9.50)#9200:24:50(+6.61)#4,610
93.4310600:31:2400:21:56(+9.46)#9300:24:50(+6.57)#4,652
94.4506700:31:2200:21:56(+9.42)#9400:24:50(+6.53)#4,684
95.4515500:31:1700:21:56(+9.35)#9500:24:50(+6.46)#4,759
96.4510600:31:1700:21:56(+9.35)#9600:24:50(+6.46)#4,760
97.4310100:31:1600:21:56(+9.33)#9700:24:50(+6.44)#4,777
98.4398100:31:1000:21:56(+9.22)#9800:24:50(+6.33)#4,870
99.4340600:31:0800:21:56(+9.20)#9900:24:50(+6.30)#4,888
100.4353600:31:0700:21:56(+9.18)#10000:24:50(+6.29)#4,902

Common Questions

What are the Top 10 Zip Codes with the Longest Median Commute Time to Work for Females in Ohio?
Top 10 Zip Codes with the Longest Median Commute Time to Work for Females in Ohio are:
#1
01:00:50
#2
00:52:45
#3
00:51:15
#4
00:49:30
#5
00:48:30
#6
00:47:44
#7
00:47:36
#8
00:47:25
#9
00:45:48
#10
00:44:49
What zip code has the Longest Median Commute Time to Work for Females in Ohio?
45695 has the Longest Median Commute Time to Work for Females in Ohio with 01:00:50.
What is the Median Commute Time to Work for Females in the State of Ohio?
Median Commute Time to Work for Females in Ohio is 00:21:56.
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.