Zip Codes with the Highest Percentage of Population Carpooling to Work in Baltimore, MD

RELATED REPORTS & OPTIONS

Drive | Carpool
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfghanAfricanAlaska NativeAlbanianAmericanArabArgentineanArmenianAustralianAustrianBahamianBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCanadianCape VerdeanCentral AmericanCentral American IndianCherokeeChickasawChileanChineseChippewaChoctawColombianCosta RicanCreekCroatianCubanCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench CanadianGermanGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeMalaysianMalteseMexicanMexican American IndianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanPakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSouth AfricanSouth AmericanSouth American IndianSpaniardSpanishSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTrinidadian and TobagonianTurkishUgandanUkrainianVenezuelanVietnameseWelshWest IndianYugoslavianZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlbanianAmericanArabArgentineanArmenianAustralianAustrianBahamianBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCanadianCape VerdeanCentral AmericanCentral American IndianCherokeeChickasawChileanChineseChippewaChoctawColombianCosta RicanCreekCroatianCubanCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench CanadianGermanGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeMalaysianMalteseMexicanMexican American IndianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanPakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSouth AfricanSouth AmericanSouth American IndianSpaniardSpanishSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTrinidadian and TobagonianTurkishUgandanUkrainianVenezuelanVietnameseWelshWest IndianYugoslavianZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKenyaKoreaLaosLatin AmericaLatviaLebanonLiberiaMalaysiaMexicoMiddle AfricaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKenyaKoreaLaosLatin AmericaLatviaLebanonLiberiaMalaysiaMexicoMiddle AfricaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineVenezuelaVietnamWest 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
Baltimore
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Percentage of Population Carpooling to Work in Baltimore

19.8%
49.6%
Zip Codes with the Highest Percentage of Population Carpooling to Work in Baltimore Map

Zip Codes with the Highest Percentage of Population Carpooling to Work in Baltimore, MD

Zip Code % Carpool vs State vs National
1. 21239 49.6% 39.4% (+10.2)#41 38.2% (+11.4)#3,020
2. 21209 45.2% 39.4% (+5.80)#81 38.2% (+7.00)#5,698
3. 21223 43.4% 39.4% (+4.00)#101 38.2% (+5.20)#7,271
4. 21213 43.3% 39.4% (+3.90)#104 38.2% (+5.10)#7,354
5. 21212 41.3% 39.4% (+1.90)#140 38.2% (+3.10)#9,652
6. 21215 40.9% 39.4% (+1.50)#148 38.2% (+2.70)#10,114
7. 21205 40.2% 39.4% (+0.800)#168 38.2% (+2.00)#11,169
8. 21217 39.8% 39.4% (+0.400)#176 38.2% (+1.60)#11,668
9. 21210 39.4% 39.4% (=0.000)#185 38.2% (+1.20)#12,300
10. 21206 39.3% 39.4% (-0.100)#187 38.2% (+1.10)#12,386
11. 21218 39.3% 39.4% (-0.100)#188 38.2% (+1.10)#12,391
12. 21214 38.1% 39.4% (-1.30)#217 38.2% (-0.100)#14,160
13. 21230 36.4% 39.4% (-3.00)#245 38.2% (-1.80)#16,591
14. 21211 36.2% 39.4% (-3.20)#254 38.2% (-2.00)#16,906
15. 21229 36.0% 39.4% (-3.40)#256 38.2% (-2.20)#17,083
16. 21201 34.9% 39.4% (-4.50)#273 38.2% (-3.30)#18,580
17. 21224 34.7% 39.4% (-4.70)#276 38.2% (-3.50)#18,795
18. 21216 32.5% 39.4% (-6.90)#299 38.2% (-5.70)#21,004
19. 21231 32.3% 39.4% (-7.10)#303 38.2% (-5.90)#21,206
20. 21202 31.9% 39.4% (-7.50)#304 38.2% (-6.30)#21,461
21. 21250 19.8% 39.4% (-19.6)#348 38.2% (-18.4)#25,477

Common Questions

What are the Top 10 Zip Codes with the Highest Percentage of Population Carpooling to Work in Baltimore, MD?
Top 10 Zip Codes with the Highest Percentage of Population Carpooling to Work in Baltimore, MD are:
#1
49.6%
#2
45.2%
#3
43.4%
#4
43.3%
#5
41.3%
#6
40.9%
#7
40.2%
#8
39.8%
#9
39.4%
#10
39.3%
What zip code has the Highest Percentage of Population Carpooling to Work in Baltimore, MD?
21239 has the Highest Percentage of Population Carpooling to Work in Baltimore, MD with 49.6%.
What is the Percentage of Population Carpooling to Work in Baltimore, MD?
Percentage of Population Carpooling to Work in Baltimore is 38.2%.
What is the Percentage of Population Carpooling to Work in Maryland?
Percentage of Population Carpooling to Work in Maryland is 39.4%.
What is the Percentage of Population Carpooling to Work in the United States?
Percentage of Population Carpooling to Work in the United States is 38.2%.