Zip Codes with the Highest Percentage of Population Employed in Cleaning & Maintenance in the United States

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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 AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest 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
United States
Compare Zip Codes
Comparison Subject

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

0.0%
100.0%
Zip Codes with the Highest Percentage of Population Employed in Cleaning & Maintenance in the United States Map

Zip Codes with the Highest Percentage of Population Employed in Cleaning & Maintenance in the United States

Zip Code % Employed vs State vs National
1.30454, Georgia100.0%3.4%(+96.6)#13.5%(+96.5)#1
2.37396, Tennessee100.0%3.4%(+96.6)#13.5%(+96.5)#2
3.85328, Arizona100.0%3.9%(+96.1)#13.5%(+96.5)#3
4.22432, Virginia100.0%3.1%(+96.9)#13.5%(+96.5)#4
5.40350, Kentucky100.0%3.3%(+96.7)#13.5%(+96.5)#5
6.18223, Pennsylvania100.0%3.1%(+96.9)#13.5%(+96.5)#6
7.93429, California100.0%3.7%(+96.3)#13.5%(+96.5)#7
8.24316, Virginia100.0%3.1%(+96.9)#23.5%(+96.5)#8
9.40058, Kentucky100.0%3.3%(+96.7)#23.5%(+96.5)#9
10.39595, Mississippi100.0%3.6%(+96.4)#13.5%(+96.5)#10
11.12864, New York100.0%3.6%(+96.4)#13.5%(+96.5)#11
12.73746, Oklahoma100.0%3.6%(+96.4)#13.5%(+96.5)#12
13.41607, Kentucky91.5%3.3%(+88.2)#33.5%(+88.1)#13
14.70082, Louisiana84.3%3.7%(+80.6)#13.5%(+80.8)#14
15.33855, Florida82.6%4.4%(+78.2)#13.5%(+79.1)#15
16.26266, West Virginia80.4%3.7%(+76.7)#13.5%(+76.9)#16
17.56720, Minnesota77.8%3.0%(+74.8)#13.5%(+74.3)#17
18.24884, West Virginia77.3%3.7%(+73.5)#23.5%(+73.8)#18
19.81138, Colorado76.2%2.9%(+73.3)#13.5%(+72.7)#19
20.45428, Ohio75.0%3.2%(+71.8)#13.5%(+71.5)#20
21.59035, Montana73.5%3.8%(+69.7)#13.5%(+70.0)#21
22.92369, California71.4%3.7%(+67.7)#23.5%(+67.9)#22
23.49942, Michigan71.4%3.4%(+68.0)#13.5%(+67.9)#23
24.95429, California69.2%3.7%(+65.5)#33.5%(+65.7)#24
25.57794, South Dakota64.1%3.4%(+60.7)#13.5%(+60.6)#25
26.79834, Texas62.0%3.6%(+58.4)#13.5%(+58.5)#26
27.38623, Mississippi60.8%3.6%(+57.2)#23.5%(+57.3)#27
28.78352, Texas59.7%3.6%(+56.1)#23.5%(+56.2)#28
29.92389, California59.1%3.7%(+55.4)#43.5%(+55.6)#29
30.28708, North Carolina58.5%3.5%(+55.0)#13.5%(+55.1)#30
31.69331, Nebraska58.3%3.0%(+55.3)#13.5%(+54.9)#31
32.87530, New Mexico58.0%3.9%(+54.2)#13.5%(+54.5)#32
33.40840, Kentucky57.6%3.3%(+54.3)#43.5%(+54.2)#33
34.18454, Pennsylvania57.1%3.1%(+54.0)#23.5%(+53.7)#34
35.78142, Texas57.1%3.6%(+53.6)#33.5%(+53.7)#35
36.18340, Pennsylvania55.6%3.1%(+52.4)#33.5%(+52.1)#36
37.41397, Kentucky55.1%3.3%(+51.7)#53.5%(+51.6)#37
38.59856, Montana54.2%3.8%(+50.4)#23.5%(+50.7)#38
39.83446, Idaho53.8%3.5%(+50.3)#13.5%(+50.4)#39
40.34141, Florida53.3%4.4%(+48.9)#23.5%(+49.9)#40
41.62843, Illinois52.6%3.2%(+49.4)#13.5%(+49.1)#41
42.12998, New York51.9%3.6%(+48.3)#23.5%(+48.4)#42
43.75903, Texas51.5%3.6%(+47.9)#43.5%(+48.0)#43
44.31333, Georgia51.2%3.4%(+47.9)#23.5%(+47.7)#44
45.14166, New York50.0%3.6%(+46.4)#33.5%(+46.5)#45
46.93260, California50.0%3.7%(+46.3)#53.5%(+46.5)#46
47.28424, North Carolina50.0%3.5%(+46.5)#23.5%(+46.5)#47
48.99745, Alaska50.0%3.7%(+46.3)#13.5%(+46.5)#48
49.21715, Maryland50.0%3.2%(+46.8)#13.5%(+46.5)#49
50.27877, North Carolina50.0%3.5%(+46.5)#33.5%(+46.5)#50
51.26376, West Virginia49.3%3.7%(+45.6)#33.5%(+45.8)#51
52.49074, Michigan49.1%3.4%(+45.7)#23.5%(+45.6)#52
53.92332, California48.9%3.7%(+45.2)#63.5%(+45.4)#53
54.84024, Utah48.7%3.2%(+45.5)#13.5%(+45.2)#54
55.48816, Michigan48.4%3.4%(+45.0)#33.5%(+44.9)#55
56.36473, Alabama48.2%3.5%(+44.7)#13.5%(+44.7)#56
57.13784, New York47.9%3.6%(+44.3)#43.5%(+44.4)#57
58.19316, Pennsylvania47.9%3.1%(+44.8)#43.5%(+44.4)#58
59.12489, New York47.6%3.6%(+44.0)#53.5%(+44.1)#59
60.82638, Wyoming47.1%3.7%(+43.4)#13.5%(+43.6)#60
61.85633, Arizona47.1%3.9%(+43.1)#23.5%(+43.6)#61
62.28628, North Carolina47.1%3.5%(+43.6)#43.5%(+43.6)#62
63.61059, Illinois47.0%3.2%(+43.8)#23.5%(+43.5)#63
64.29934, South Carolina46.3%3.9%(+42.4)#13.5%(+42.8)#64
65.94964, California46.2%3.7%(+42.5)#73.5%(+42.8)#65
66.29378, South Carolina44.9%3.9%(+41.0)#23.5%(+41.4)#66
67.13861, New York44.6%3.6%(+41.0)#63.5%(+41.1)#67
68.26662, West Virginia44.5%3.7%(+40.8)#43.5%(+41.0)#68
69.84728, Utah44.2%3.2%(+41.0)#23.5%(+40.7)#69
70.22731, Virginia43.8%3.1%(+40.7)#33.5%(+40.3)#70
71.43111, Ohio43.5%3.2%(+40.3)#23.5%(+40.0)#71
72.56711, Minnesota43.1%3.0%(+40.1)#23.5%(+39.6)#72
73.02873, Rhode Island42.9%3.4%(+39.4)#13.5%(+39.4)#73
74.73571, Oklahoma42.9%3.6%(+39.2)#23.5%(+39.4)#74
75.25942, West Virginia42.3%3.7%(+38.6)#53.5%(+38.8)#75
76.77376, Texas42.0%3.6%(+38.5)#53.5%(+38.6)#76
77.19733, Delaware41.9%4.0%(+37.9)#13.5%(+38.4)#77
78.12724, New York41.9%3.6%(+38.2)#73.5%(+38.4)#78
79.65246, Missouri41.7%3.2%(+38.5)#13.5%(+38.2)#79
80.49335, Michigan41.3%3.4%(+37.9)#43.5%(+37.8)#80
81.59756, Montana40.9%3.8%(+37.1)#33.5%(+37.4)#81
82.72005, Arkansas40.9%3.7%(+37.2)#13.5%(+37.4)#82
83.41606, Kentucky40.7%3.3%(+37.4)#63.5%(+37.3)#83
84.79832, Texas40.7%3.6%(+37.2)#63.5%(+37.3)#84
85.97904, Oregon40.6%3.2%(+37.4)#13.5%(+37.1)#85
86.79220, Texas40.3%3.6%(+36.8)#73.5%(+36.9)#86
87.81612, Colorado40.2%2.9%(+37.3)#23.5%(+36.7)#87
88.51520, Iowa40.0%3.1%(+36.9)#13.5%(+36.5)#88
89.26327, West Virginia40.0%3.7%(+36.3)#63.5%(+36.5)#89
90.83812, Idaho40.0%3.5%(+36.5)#23.5%(+36.5)#90
91.72352, Arkansas40.0%3.7%(+36.3)#23.5%(+36.5)#91
92.13103, New York39.8%3.6%(+36.2)#83.5%(+36.3)#92
93.88134, New Mexico39.4%3.9%(+35.5)#23.5%(+35.9)#93
94.67627, Kansas39.3%3.3%(+36.1)#13.5%(+35.8)#94
95.59343, Montana39.3%3.8%(+35.5)#43.5%(+35.8)#95
96.28649, North Carolina39.0%3.5%(+35.5)#53.5%(+35.6)#96
97.71279, Louisiana39.0%3.7%(+35.3)#23.5%(+35.5)#97
98.91980, California38.9%3.7%(+35.2)#83.5%(+35.4)#98
99.45147, Ohio38.6%3.2%(+35.4)#33.5%(+35.2)#99
100.25036, West Virginia38.6%3.7%(+34.8)#73.5%(+35.1)#100

Common Questions

What are the Top 10 Zip Codes with the Highest Percentage of Population Employed in Cleaning & Maintenance in the United States?
Top 10 Zip Codes with the Highest Percentage of Population Employed in Cleaning & Maintenance in the United States are:
#1
100.0%
#2
100.0%
#3
100.0%
#4
100.0%
#5
100.0%
#6
100.0%
#7
100.0%
#8
100.0%
#9
100.0%
#10
100.0%
What zip code has the Highest Percentage of Population Employed in Cleaning & Maintenance in the United States?
30454 has the Highest Percentage of Population Employed in Cleaning & Maintenance in the United States with 100.0%.
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%.