Zip Codes with the Highest Percentage of Population Employed in Cleaning & Maintenance in Baltimore, MD

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Cleaning & Maintenance
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 Cleaning & Maintenance in Baltimore

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Zip Codes with the Highest Percentage of Population Employed in Cleaning & Maintenance in Baltimore Map

Zip Codes with the Highest Percentage of Population Employed in Cleaning & Maintenance in Baltimore, MD

Zip Code % Employed vs State vs National
1.212239.6%3.2%(+6.41)#283.5%(+6.12)#1,999
2.212058.2%3.2%(+5.04)#373.5%(+4.75)#2,838
3.212176.0%3.2%(+2.85)#643.5%(+2.56)#5,568
4.212136.0%3.2%(+2.81)#663.5%(+2.53)#5,630
5.212165.6%3.2%(+2.43)#763.5%(+2.14)#6,429
6.212155.3%3.2%(+2.08)#893.5%(+1.79)#7,213
7.212515.2%3.2%(+2.01)#903.5%(+1.73)#7,362
8.212294.1%3.2%(+0.902)#1233.5%(+0.615)#10,954
9.212183.5%3.2%(+0.297)#1493.5%(+0.009)#13,464
10.212063.3%3.2%(+0.138)#1613.5%(-0.149)#14,178
11.212012.9%3.2%(-0.279)#1903.5%(-0.567)#16,328
12.212142.9%3.2%(-0.294)#1913.5%(-0.581)#16,396
13.212242.8%3.2%(-0.379)#1963.5%(-0.666)#16,858
14.212392.6%3.2%(-0.578)#2093.5%(-0.866)#17,885
15.212302.1%3.2%(-1.09)#2483.5%(-1.38)#20,571
16.212122.0%3.2%(-1.18)#2553.5%(-1.46)#20,972
17.212021.7%3.2%(-1.48)#2783.5%(-1.76)#22,432
18.212311.6%3.2%(-1.56)#2863.5%(-1.84)#22,840
19.212111.2%3.2%(-2.03)#3233.5%(-2.32)#24,919
20.212091.0%3.2%(-2.15)#3323.5%(-2.44)#25,347
21.212100.78%3.2%(-2.41)#3473.5%(-2.70)#26,217
22.212500.67%3.2%(-2.52)#3513.5%(-2.81)#26,540

Common Questions

What are the Top 10 Zip Codes with the Highest Percentage of Population Employed in Cleaning & Maintenance in Baltimore, MD?
Top 10 Zip Codes with the Highest Percentage of Population Employed in Cleaning & Maintenance in Baltimore, MD are:
#1
9.6%
#2
8.2%
#3
6.0%
#4
6.0%
#5
5.6%
#6
5.3%
#7
5.2%
#8
4.1%
#9
3.5%
#10
3.3%
What zip code has the Highest Percentage of Population Employed in Cleaning & Maintenance in Baltimore, MD?
21223 has the Highest Percentage of Population Employed in Cleaning & Maintenance in Baltimore, MD with 9.6%.
What is the Percentage of Population Employed in Cleaning & Maintenance in Baltimore, MD?
Percentage of Population Employed in Cleaning & Maintenance in Baltimore is 3.7%.
What is the Percentage of Population Employed in Cleaning & Maintenance in Maryland?
Percentage of Population Employed in Cleaning & Maintenance in Maryland is 3.2%.
What is the Percentage of Population Employed in Cleaning & Maintenance in the United States?
Percentage of Population Employed in Cleaning & Maintenance in the United States is 3.5%.