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

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Shortest 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 Shortest Median Commute Time to Work for Females in Ohio

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

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

Zip Code Commute Time vs State vs National
1.4461000:02:3200:21:56(-19.4)#100:24:50(-22.3)#6
2.4466000:07:0600:21:56(-14.8)#200:24:50(-17.7)#226
3.4470200:08:2600:21:56(-13.5)#300:24:50(-16.4)#332
4.4455500:08:3200:21:56(-13.4)#400:24:50(-16.3)#342
5.4343800:08:3600:21:56(-13.3)#500:24:50(-16.2)#347
6.4465900:09:4200:21:56(-12.2)#600:24:50(-15.1)#482
7.4355300:10:0800:21:56(-11.8)#700:24:50(-14.7)#556
8.4450600:10:3000:21:56(-11.4)#800:24:50(-14.3)#616
9.4344600:10:3300:21:56(-11.4)#900:24:50(-14.3)#630
10.4584800:11:2500:21:56(-10.5)#1000:24:50(-13.4)#833
11.4340300:11:3400:21:56(-10.4)#1100:24:50(-13.3)#882
12.4350600:11:4200:21:56(-10.2)#1200:24:50(-13.1)#917
13.4321000:11:5700:21:56(-9.99)#1300:24:50(-12.9)#1,004
14.4505100:12:1900:21:56(-9.63)#1400:24:50(-12.5)#1,108
15.4546900:12:5400:21:56(-9.03)#1500:24:50(-11.9)#1,310
16.4451000:12:5500:21:56(-9.01)#1600:24:50(-11.9)#1,317
17.4381100:13:0000:21:56(-8.93)#1700:24:50(-11.8)#1,346
18.4465200:13:3700:21:56(-8.32)#1800:24:50(-11.2)#1,566
19.4301000:13:3800:21:56(-8.31)#1900:24:50(-11.2)#1,574
20.4355400:13:3900:21:56(-8.28)#2000:24:50(-11.2)#1,589
21.4315800:13:4300:21:56(-8.21)#2100:24:50(-11.1)#1,624
22.4503400:13:4400:21:56(-8.21)#2200:24:50(-11.1)#1,626
23.4372300:13:4800:21:56(-8.15)#2300:24:50(-11.0)#1,660
24.4531400:13:5300:21:56(-8.05)#2400:24:50(-11.0)#1,704
25.4533300:13:5400:21:56(-8.03)#2500:24:50(-10.9)#1,719
26.4303700:14:0000:21:56(-7.95)#2600:24:50(-10.8)#1,758
27.4480400:14:0700:21:56(-7.81)#2700:24:50(-10.7)#1,822
28.4570100:14:0900:21:56(-7.79)#2800:24:50(-10.7)#1,837
29.4391000:14:1400:21:56(-7.70)#2900:24:50(-10.6)#1,888
30.4485600:14:3000:21:56(-7.45)#3000:24:50(-10.3)#2,018
31.4586900:14:4100:21:56(-7.25)#3100:24:50(-10.1)#2,149
32.4345600:14:4700:21:56(-7.15)#3200:24:50(-10.0)#2,202
33.4543300:14:4800:21:56(-7.13)#3300:24:50(-10.0)#2,218
34.4585500:15:0000:21:56(-6.95)#3400:24:50(-9.84)#2,329
35.4341000:15:0300:21:56(-6.90)#3500:24:50(-9.79)#2,355
36.4430800:15:0600:21:56(-6.84)#3600:24:50(-9.73)#2,388
37.4584000:15:0800:21:56(-6.81)#3700:24:50(-9.71)#2,405
38.4580400:15:0800:21:56(-6.81)#3800:24:50(-9.71)#2,406
39.4360800:15:0900:21:56(-6.79)#3900:24:50(-9.69)#2,416
40.4540900:15:1100:21:56(-6.76)#4000:24:50(-9.65)#2,434
41.4580500:15:1900:21:56(-6.63)#4100:24:50(-9.52)#2,516
42.4424300:15:2300:21:56(-6.55)#4200:24:50(-9.44)#2,569
43.4490600:15:2500:21:56(-6.53)#4300:24:50(-9.42)#2,587
44.4490200:15:3300:21:56(-6.38)#4400:24:50(-9.28)#2,690
45.4355500:15:3800:21:56(-6.30)#4500:24:50(-9.20)#2,738
46.4432500:15:3800:21:56(-6.30)#4600:24:50(-9.19)#2,741
47.4468900:15:4500:21:56(-6.18)#4700:24:50(-9.08)#2,831
48.4360400:15:4700:21:56(-6.16)#4800:24:50(-9.06)#2,848
49.4488300:15:4700:21:56(-6.16)#4900:24:50(-9.05)#2,853
50.4302200:15:4900:21:56(-6.12)#5000:24:50(-9.02)#2,884
51.4482500:15:4900:21:56(-6.11)#5100:24:50(-9.01)#2,891
52.4487000:15:5200:21:56(-6.08)#5200:24:50(-8.97)#2,915
53.4589100:15:5700:21:56(-5.99)#5300:24:50(-8.88)#2,981
54.4513200:15:5700:21:56(-5.98)#5400:24:50(-8.88)#2,984
55.4582600:16:0000:21:56(-5.95)#5500:24:50(-8.84)#3,021
56.4538400:16:0100:21:56(-5.93)#5600:24:50(-8.83)#3,037
57.4586300:16:0100:21:56(-5.92)#5700:24:50(-8.81)#3,047
58.4484600:16:0200:21:56(-5.91)#5800:24:50(-8.80)#3,056
59.4355700:16:0500:21:56(-5.85)#5900:24:50(-8.75)#3,101
60.4360600:16:1000:21:56(-5.78)#6000:24:50(-8.67)#3,158
61.4312700:16:1100:21:56(-5.76)#6100:24:50(-8.66)#3,178
62.4460600:16:1100:21:56(-5.76)#6200:24:50(-8.66)#3,179
63.4381200:16:1400:21:56(-5.70)#6300:24:50(-8.60)#3,218
64.4395200:16:1600:21:56(-5.68)#6400:24:50(-8.58)#3,241
65.4447300:16:2000:21:56(-5.61)#6500:24:50(-8.51)#3,297
66.4580100:16:2000:21:56(-5.61)#6600:24:50(-8.51)#3,299
67.4589000:16:2200:21:56(-5.58)#6700:24:50(-8.47)#3,326
68.4571900:16:2400:21:56(-5.55)#6800:24:50(-8.44)#3,347
69.4520600:16:2400:21:56(-5.54)#6900:24:50(-8.44)#3,356
70.4588900:16:2400:21:56(-5.54)#7000:24:50(-8.43)#3,358
71.4362000:16:2500:21:56(-5.52)#7100:24:50(-8.42)#3,376
72.4469700:16:2600:21:56(-5.50)#7200:24:50(-8.40)#3,400
73.4585800:16:2600:21:56(-5.50)#7300:24:50(-8.39)#3,406
74.4520200:16:2700:21:56(-5.49)#7400:24:50(-8.39)#3,416
75.4340200:16:2800:21:56(-5.48)#7500:24:50(-8.37)#3,438
76.4469100:16:2900:21:56(-5.45)#7600:24:50(-8.35)#3,460
77.4425100:16:3100:21:56(-5.42)#7700:24:50(-8.32)#3,495
78.4520700:16:3500:21:56(-5.35)#7800:24:50(-8.25)#3,553
79.4411400:16:3500:21:56(-5.35)#7900:24:50(-8.25)#3,560
80.4578300:16:3600:21:56(-5.34)#8000:24:50(-8.24)#3,575
81.4376800:16:3600:21:56(-5.34)#8100:24:50(-8.23)#3,578
82.4471000:16:3600:21:56(-5.33)#8200:24:50(-8.23)#3,582
83.4550400:16:3700:21:56(-5.33)#8300:24:50(-8.22)#3,587
84.4428500:16:3900:21:56(-5.28)#8400:24:50(-8.18)#3,634
85.4466700:16:4000:21:56(-5.28)#8500:24:50(-8.17)#3,635
86.4333000:16:4700:21:56(-5.16)#8600:24:50(-8.06)#3,737
87.4486600:16:4700:21:56(-5.16)#8700:24:50(-8.06)#3,738
88.4470300:16:4900:21:56(-5.12)#8800:24:50(-8.01)#3,788
89.4483800:16:5100:21:56(-5.09)#8900:24:50(-7.98)#3,812
90.4470900:16:5100:21:56(-5.09)#9000:24:50(-7.98)#3,814
91.4371300:16:5200:21:56(-5.06)#9100:24:50(-7.96)#3,830
92.4450400:16:5300:21:56(-5.06)#9200:24:50(-7.95)#3,837
93.4538000:16:5300:21:56(-5.06)#9300:24:50(-7.95)#3,838
94.4334500:16:5300:21:56(-5.06)#9400:24:50(-7.95)#3,841
95.4425000:16:5300:21:56(-5.05)#9500:24:50(-7.95)#3,843
96.4581700:16:5300:21:56(-5.05)#9600:24:50(-7.95)#3,851
97.4361000:16:5500:21:56(-5.02)#9700:24:50(-7.91)#3,888
98.4450200:16:5700:21:56(-4.98)#9800:24:50(-7.88)#3,920
99.4467700:17:0100:21:56(-4.92)#9900:24:50(-7.82)#3,968
100.4400300:17:0100:21:56(-4.92)#10000:24:50(-7.81)#3,975

Common Questions

What are the Top 10 Zip Codes with the Shortest Median Commute Time to Work for Females in Ohio?
Top 10 Zip Codes with the Shortest Median Commute Time to Work for Females in Ohio are:
#1
00:02:32
#2
00:07:06
#3
00:08:26
#4
00:08:32
#5
00:08:36
#6
00:09:42
#7
00:10:08
#8
00:10:30
#9
00:10:33
#10
00:11:25
What zip code has the Shortest Median Commute Time to Work for Females in Ohio?
44610 has the Shortest Median Commute Time to Work for Females in Ohio with 00:02:32.
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.