Zip Codes with the Highest Percentage of Population Employed in Cleaning & Maintenance in Los Angeles, CA

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Cleaning & Maintenance
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAlsatianAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHopiHungarianIcelanderIndian (Asian)IndonesianIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsagePaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTurkishU.S. Virgin IslanderUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYaquiYugoslavianYumanZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAlsatianAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHopiHungarianIcelanderIndian (Asian)IndonesianIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsagePaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTurkishU.S. Virgin IslanderUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYaquiYugoslavianYumanZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeZaireZimbabwe
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
Los Angeles
States
California Cities
AlamedaAlhambraAnaheimAntiochApple ValleyArcadiaAuburnBakersfieldBerkeleyBeverly HillsBreaBuena ParkBurbankCamarilloCanoga ParkCanyon CountryCarlsbadCarsonCastro ValleyChicoChinoChula VistaCitrus HeightsClovisComptonConcordCoronaCosta MesaCovinaCulver CityDaly CityDanvilleDavisDesert Hot SpringsDowneyDuarteEl CajonEl MonteElk GroveEncinoEscondidoEurekaFairfieldFontanaFremontFresnoFullertonGarden GroveGardenaGlendaleGlendoraGrass ValleyHaywardHemetHesperiaHuntington BeachIndioInglewoodIrvineLa JollaLa MesaLa PuenteLake ElsinoreLakewoodLancasterLivermoreLodiLong BeachLos AltosLos AngelesLos GatosMaderaMantecaMenifeeMercedMission ViejoModestoMonterey ParkMoreno ValleyMountain ViewMurrietaNapaNewport BeachNorth HollywoodNorthridgeNovatoOaklandOceansideOntarioOrangeOrovilleOxnardPalm DesertPalm SpringsPalmdalePalo AltoPasadenaPerrisPetalumaPleasantonPomonaPortervilleRancho CordovaRancho CucamongaReddingRedlandsRedondo BeachRedwood CityRialtoRichmondRiversideRocklinRosevilleSacramentoSalinasSan BernardinoSan ClementeSan DiegoSan FranciscoSan GabrielSan JacintoSan JoseSan LeandroSan Luis ObispoSan MarcosSan MateoSan PedroSan RafaelSan RamonSanta AnaSanta BarbaraSanta ClaraSanta ClaritaSanta CruzSanta MariaSanta MonicaSanta RosaSherman OaksSimi ValleySpring ValleyStocktonSunnyvaleTemeculaThousand OaksTorranceTrabuco CanyonTracyTurlockTustinTwentynine PalmsUplandVacavilleValenciaVallejoVan NuysVenturaVictorvilleVisaliaVistaWalnut CreekWest CovinaWest SacramentoWhittierWoodlandWoodland HillsYorba LindaYuba City
Compare Zip Codes
Comparison Subject

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

0.0%
15.0%
Zip Codes with the Highest Percentage of Population Employed in Cleaning & Maintenance in Los Angeles Map

Zip Codes with the Highest Percentage of Population Employed in Cleaning & Maintenance in Los Angeles, CA

Zip Code % Employed vs State vs National
1.9007313.1%3.7%(+9.38)#573.5%(+9.61)#1,001
2.9000611.9%3.7%(+8.15)#713.5%(+8.39)#1,236
3.9003710.7%3.7%(+6.99)#963.5%(+7.23)#1,567
4.9005710.2%3.7%(+6.51)#1053.5%(+6.75)#1,723
5.900449.8%3.7%(+6.08)#1133.5%(+6.31)#1,909
6.900189.0%3.7%(+5.29)#1243.5%(+5.52)#2,295
7.900038.6%3.7%(+4.91)#1393.5%(+5.14)#2,517
8.900118.1%3.7%(+4.40)#1763.5%(+4.64)#2,930
9.900628.1%3.7%(+4.37)#1803.5%(+4.61)#2,964
10.900298.0%3.7%(+4.26)#1853.5%(+4.49)#3,067
11.900587.9%3.7%(+4.16)#1903.5%(+4.40)#3,147
12.900167.7%3.7%(+3.95)#2093.5%(+4.19)#3,356
13.900047.5%3.7%(+3.76)#2203.5%(+3.99)#3,571
14.900057.1%3.7%(+3.37)#2503.5%(+3.60)#3,971
15.900386.8%3.7%(+3.08)#2713.5%(+3.32)#4,338
16.900336.8%3.7%(+3.06)#2733.5%(+3.29)#4,369
17.900316.7%3.7%(+3.01)#2773.5%(+3.25)#4,446
18.900196.7%3.7%(+2.94)#2863.5%(+3.18)#4,546
19.900616.5%3.7%(+2.78)#3063.5%(+3.01)#4,776
20.900076.4%3.7%(+2.68)#3143.5%(+2.92)#4,940
21.900636.2%3.7%(+2.46)#3403.5%(+2.69)#5,322
22.900016.2%3.7%(+2.44)#3433.5%(+2.67)#5,352
23.900026.1%3.7%(+2.38)#3513.5%(+2.61)#5,473
24.900235.8%3.7%(+2.12)#3833.5%(+2.36)#5,972
25.900405.8%3.7%(+2.05)#3913.5%(+2.28)#6,127
26.900205.6%3.7%(+1.84)#4173.5%(+2.07)#6,562
27.900595.5%3.7%(+1.81)#4193.5%(+2.04)#6,651
28.900175.4%3.7%(+1.65)#4393.5%(+1.89)#7,011
29.900085.4%3.7%(+1.64)#4403.5%(+1.88)#7,025
30.900225.1%3.7%(+1.34)#4833.5%(+1.57)#7,815
31.900424.9%3.7%(+1.18)#5033.5%(+1.42)#8,229
32.900264.6%3.7%(+0.920)#5453.5%(+1.15)#9,019
33.900324.3%3.7%(+0.533)#6103.5%(+0.768)#10,351
34.900284.1%3.7%(+0.425)#6233.5%(+0.660)#10,769
35.900144.0%3.7%(+0.329)#6403.5%(+0.564)#11,157
36.900134.0%3.7%(+0.328)#6413.5%(+0.563)#11,163
37.900474.0%3.7%(+0.299)#6453.5%(+0.534)#11,276
38.900673.9%3.7%(+0.155)#6763.5%(+0.390)#11,829
39.900213.8%3.7%(+0.049)#7013.5%(+0.284)#12,300
40.900153.3%3.7%(-0.394)#7713.5%(-0.159)#14,240
41.900433.1%3.7%(-0.601)#8133.5%(-0.366)#15,282
42.900653.1%3.7%(-0.634)#8273.5%(-0.399)#15,445
43.900392.9%3.7%(-0.799)#8703.5%(-0.564)#16,312
44.900412.9%3.7%(-0.864)#8813.5%(-0.629)#16,665
45.900662.8%3.7%(-0.948)#9043.5%(-0.713)#17,085
46.900342.7%3.7%(-0.993)#9183.5%(-0.758)#17,319
47.900101.9%3.7%(-1.82)#1,1143.5%(-1.58)#21,555
48.900121.7%3.7%(-2.07)#1,1623.5%(-1.83)#22,774
49.900251.6%3.7%(-2.08)#1,1663.5%(-1.85)#22,868
50.900271.3%3.7%(-2.37)#1,2373.5%(-2.13)#24,172
51.900641.1%3.7%(-2.65)#1,3013.5%(-2.42)#25,266
52.900350.93%3.7%(-2.79)#1,3273.5%(-2.56)#25,743
53.900240.91%3.7%(-2.81)#1,3323.5%(-2.57)#25,803
54.900450.82%3.7%(-2.90)#1,3483.5%(-2.66)#26,108
55.900680.69%3.7%(-3.03)#1,3853.5%(-2.80)#26,496
56.900770.62%3.7%(-3.09)#1,3993.5%(-2.86)#26,663
57.900460.51%3.7%(-3.20)#1,4243.5%(-2.97)#26,958
58.900360.45%3.7%(-3.27)#1,4433.5%(-3.04)#27,108
59.900480.44%3.7%(-3.28)#1,4463.5%(-3.05)#27,130
60.900490.40%3.7%(-3.32)#1,4513.5%(-3.08)#27,201
61.900560.26%3.7%(-3.46)#1,4693.5%(-3.22)#27,416

Common Questions

What are the Top 10 Zip Codes with the Highest Percentage of Population Employed in Cleaning & Maintenance in Los Angeles, CA?
Top 10 Zip Codes with the Highest Percentage of Population Employed in Cleaning & Maintenance in Los Angeles, CA are:
#1
13.1%
#2
11.9%
#3
10.7%
#4
10.2%
#5
9.8%
#6
9.0%
#7
8.6%
#8
8.1%
#9
8.1%
#10
8.0%
What zip code has the Highest Percentage of Population Employed in Cleaning & Maintenance in Los Angeles, CA?
90073 has the Highest Percentage of Population Employed in Cleaning & Maintenance in Los Angeles, CA with 13.1%.
What is the Percentage of Population Employed in Cleaning & Maintenance in Los Angeles, CA?
Percentage of Population Employed in Cleaning & Maintenance in Los Angeles is 4.9%.
What is the Percentage of Population Employed in Cleaning & Maintenance in California?
Percentage of Population Employed in Cleaning & Maintenance in California is 3.7%.
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%.