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

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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

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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
1.2123949.6%39.4%(+10.2)#4138.2%(+11.4)#3,020
2.2120945.2%39.4%(+5.80)#8138.2%(+7.00)#5,698
3.2122343.4%39.4%(+4.00)#10138.2%(+5.20)#7,271
4.2121343.3%39.4%(+3.90)#10438.2%(+5.10)#7,354
5.2121241.3%39.4%(+1.90)#14038.2%(+3.10)#9,652
6.2121540.9%39.4%(+1.50)#14838.2%(+2.70)#10,114
7.2120540.2%39.4%(+0.800)#16838.2%(+2.00)#11,169
8.2121739.8%39.4%(+0.400)#17638.2%(+1.60)#11,668
9.2121039.4%39.4%(=0.000)#18538.2%(+1.20)#12,300
10.2120639.3%39.4%(-0.100)#18738.2%(+1.10)#12,386
11.2121839.3%39.4%(-0.100)#18838.2%(+1.10)#12,391
12.2121438.1%39.4%(-1.30)#21738.2%(-0.100)#14,160
13.2123036.4%39.4%(-3.00)#24538.2%(-1.80)#16,591
14.2121136.2%39.4%(-3.20)#25438.2%(-2.00)#16,906
15.2122936.0%39.4%(-3.40)#25638.2%(-2.20)#17,083
16.2120134.9%39.4%(-4.50)#27338.2%(-3.30)#18,580
17.2122434.7%39.4%(-4.70)#27638.2%(-3.50)#18,795
18.2121632.5%39.4%(-6.90)#29938.2%(-5.70)#21,004
19.2123132.3%39.4%(-7.10)#30338.2%(-5.90)#21,206
20.2120231.9%39.4%(-7.50)#30438.2%(-6.30)#21,461
21.2125019.8%39.4%(-19.6)#34838.2%(-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%.