Zip Codes with the Highest Percentage of Population Employed in Information 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 Employed in Information in Baltimore

0.0%
8.0%
Zip Codes with the Highest Percentage of Population Employed in Information in Baltimore Map

Zip Codes with the Highest Percentage of Population Employed in Information in Baltimore, MD

Zip Code % Employed vs State vs National
1.212516.2%1.8%(+4.47)#141.9%(+4.35)#848
2.212112.8%1.8%(+1.03)#641.9%(+0.914)#3,979
3.212242.7%1.8%(+0.919)#691.9%(+0.804)#4,301
4.212122.6%1.8%(+0.837)#751.9%(+0.722)#4,562
5.212142.6%1.8%(+0.816)#811.9%(+0.701)#4,632
6.212302.4%1.8%(+0.598)#901.9%(+0.483)#5,383
7.212312.1%1.8%(+0.366)#1211.9%(+0.250)#6,389
8.212022.1%1.8%(+0.284)#1291.9%(+0.169)#6,793
9.212292.0%1.8%(+0.197)#1371.9%(+0.082)#7,220
10.212092.0%1.8%(+0.184)#1401.9%(+0.069)#7,286
11.212011.8%1.8%(+0.031)#1511.9%(-0.085)#8,230
12.212131.7%1.8%(-0.047)#1651.9%(-0.162)#8,729
13.212181.7%1.8%(-0.094)#1751.9%(-0.210)#9,048
14.212101.5%1.8%(-0.317)#2091.9%(-0.433)#10,657
15.212061.4%1.8%(-0.369)#2121.9%(-0.485)#11,084
16.212391.2%1.8%(-0.546)#2401.9%(-0.662)#12,572
17.212171.2%1.8%(-0.609)#2471.9%(-0.725)#13,148
18.212151.1%1.8%(-0.697)#2591.9%(-0.813)#13,951
19.212230.84%1.8%(-0.938)#2851.9%(-1.05)#16,153
20.212160.83%1.8%(-0.957)#2891.9%(-1.07)#16,319
21.212050.65%1.8%(-1.14)#3071.9%(-1.25)#17,957
22.212500.60%1.8%(-1.19)#3111.9%(-1.30)#18,430

Common Questions

What are the Top 10 Zip Codes with the Highest Percentage of Population Employed in Information in Baltimore, MD?
Top 10 Zip Codes with the Highest Percentage of Population Employed in Information in Baltimore, MD are:
#1
6.2%
#2
2.8%
#3
2.7%
#4
2.6%
#5
2.6%
#6
2.4%
#7
2.1%
#8
2.1%
#9
2.0%
#10
2.0%
What zip code has the Highest Percentage of Population Employed in Information in Baltimore, MD?
21251 has the Highest Percentage of Population Employed in Information in Baltimore, MD with 6.2%.
What is the Percentage of Population Employed in Information in Baltimore, MD?
Percentage of Population Employed in Information in Baltimore is 1.7%.
What is the Percentage of Population Employed in Information in Maryland?
Percentage of Population Employed in Information in Maryland is 1.8%.
What is the Percentage of Population Employed in Information in the United States?
Percentage of Population Employed in Information in the United States is 1.9%.