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

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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
Pennsylvania
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code % Employed vs State vs National
1. 18223 100.0% 3.1% (+96.9)#1 3.5% (+96.5)#6
2. 18454 57.1% 3.1% (+54.0)#2 3.5% (+53.7)#34
3. 18340 55.6% 3.1% (+52.4)#3 3.5% (+52.1)#36
4. 19316 47.9% 3.1% (+44.8)#4 3.5% (+44.4)#58
5. 17946 38.2% 3.1% (+35.1)#5 3.5% (+34.8)#103
6. 17507 36.7% 3.1% (+33.6)#6 3.5% (+33.2)#116
7. 16855 36.1% 3.1% (+33.0)#7 3.5% (+32.6)#119
8. 18455 34.1% 3.1% (+31.0)#8 3.5% (+30.6)#134
9. 17887 30.2% 3.1% (+27.1)#9 3.5% (+26.7)#170
10. 16048 29.3% 3.1% (+26.2)#10 3.5% (+25.8)#181
11. 15776 27.3% 3.1% (+24.2)#11 3.5% (+23.8)#208
12. 15760 26.3% 3.1% (+23.2)#12 3.5% (+22.8)#226
13. 15716 25.4% 3.1% (+22.2)#13 3.5% (+21.9)#248
14. 15422 25.0% 3.1% (+21.9)#14 3.5% (+21.5)#252
15. 15053 24.4% 3.1% (+21.3)#15 3.5% (+21.0)#262
16. 15421 22.9% 3.1% (+19.8)#16 3.5% (+19.4)#296
17. 15638 22.6% 3.1% (+19.5)#17 3.5% (+19.1)#305
18. 15929 22.4% 3.1% (+19.3)#18 3.5% (+19.0)#309
19. 16876 22.0% 3.1% (+18.9)#19 3.5% (+18.6)#325
20. 15007 21.5% 3.1% (+18.4)#20 3.5% (+18.0)#347
21. 15448 20.2% 3.1% (+17.0)#21 3.5% (+16.7)#397
22. 15620 19.4% 3.1% (+16.3)#22 3.5% (+16.0)#425
23. 18230 19.1% 3.1% (+16.0)#23 3.5% (+15.6)#441
24. 17075 19.0% 3.1% (+15.9)#24 3.5% (+15.6)#444
25. 16332 17.9% 3.1% (+14.8)#25 3.5% (+14.4)#509
26. 15693 17.5% 3.1% (+14.4)#26 3.5% (+14.0)#526
27. 18086 17.4% 3.1% (+14.3)#27 3.5% (+13.9)#533
28. 15087 17.2% 3.1% (+14.1)#28 3.5% (+13.8)#545
29. 17235 17.2% 3.1% (+14.1)#29 3.5% (+13.7)#555
30. 17508 17.1% 3.1% (+14.0)#30 3.5% (+13.6)#558
31. 18950 17.1% 3.1% (+14.0)#31 3.5% (+13.6)#564
32. 16732 16.5% 3.1% (+13.4)#32 3.5% (+13.0)#618
33. 17014 16.3% 3.1% (+13.2)#33 3.5% (+12.8)#635
34. 15624 16.2% 3.1% (+13.1)#34 3.5% (+12.7)#641
35. 17311 16.0% 3.1% (+12.9)#35 3.5% (+12.5)#654
36. 16864 15.8% 3.1% (+12.7)#36 3.5% (+12.3)#673
37. 15315 15.7% 3.1% (+12.6)#37 3.5% (+12.2)#679
38. 15484 15.6% 3.1% (+12.5)#38 3.5% (+12.1)#688
39. 16420 15.5% 3.1% (+12.4)#39 3.5% (+12.1)#694
40. 17750 15.5% 3.1% (+12.4)#40 3.5% (+12.0)#697
41. 18343 15.1% 3.1% (+12.0)#41 3.5% (+11.7)#736
42. 18625 15.1% 3.1% (+12.0)#42 3.5% (+11.6)#743
43. 17982 14.6% 3.1% (+11.5)#43 3.5% (+11.1)#792
44. 16852 14.5% 3.1% (+11.4)#44 3.5% (+11.1)#798
45. 17041 14.5% 3.1% (+11.4)#45 3.5% (+11.0)#801
46. 18030 14.4% 3.1% (+11.3)#46 3.5% (+10.9)#810
47. 16834 14.1% 3.1% (+11.0)#47 3.5% (+10.6)#853
48. 17850 14.0% 3.1% (+10.9)#48 3.5% (+10.6)#864
49. 16939 14.0% 3.1% (+10.9)#49 3.5% (+10.6)#865
50. 17246 14.0% 3.1% (+10.9)#50 3.5% (+10.5)#872
51. 18321 13.7% 3.1% (+10.6)#51 3.5% (+10.2)#913
52. 18334 13.6% 3.1% (+10.5)#52 3.5% (+10.2)#921
53. 15937 13.6% 3.1% (+10.5)#53 3.5% (+10.1)#926
54. 18354 13.2% 3.1% (+10.1)#54 3.5% (+9.69)#985
55. 15781 13.0% 3.1% (+9.94)#55 3.5% (+9.56)#1,012
56. 18420 13.0% 3.1% (+9.86)#56 3.5% (+9.48)#1,020
57. 16211 12.9% 3.1% (+9.80)#57 3.5% (+9.42)#1,030
58. 15734 12.6% 3.1% (+9.53)#58 3.5% (+9.15)#1,076
59. 18324 12.6% 3.1% (+9.51)#59 3.5% (+9.13)#1,078
60. 16430 12.5% 3.1% (+9.39)#60 3.5% (+9.02)#1,091
61. 17731 12.5% 3.1% (+9.39)#61 3.5% (+9.02)#1,092
62. 16035 12.5% 3.1% (+9.39)#62 3.5% (+9.02)#1,094
63. 18920 12.4% 3.1% (+9.29)#63 3.5% (+8.92)#1,119
64. 15433 12.2% 3.1% (+9.13)#64 3.5% (+8.75)#1,157
65. 15492 12.2% 3.1% (+9.09)#65 3.5% (+8.71)#1,165
66. 19549 12.2% 3.1% (+9.06)#66 3.5% (+8.68)#1,172
67. 16116 12.1% 3.1% (+8.95)#67 3.5% (+8.58)#1,192
68. 16860 11.8% 3.1% (+8.66)#68 3.5% (+8.28)#1,251
69. 16616 11.8% 3.1% (+8.66)#69 3.5% (+8.28)#1,256
70. 15741 11.8% 3.1% (+8.66)#70 3.5% (+8.28)#1,257
71. 18820 11.8% 3.1% (+8.66)#71 3.5% (+8.28)#1,258
72. 18332 11.7% 3.1% (+8.60)#72 3.5% (+8.22)#1,274
73. 18842 11.7% 3.1% (+8.56)#73 3.5% (+8.18)#1,290
74. 15710 11.5% 3.1% (+8.43)#74 3.5% (+8.06)#1,323
75. 15460 11.5% 3.1% (+8.43)#75 3.5% (+8.06)#1,324
76. 17504 11.4% 3.1% (+8.29)#76 3.5% (+7.91)#1,364
77. 15077 11.4% 3.1% (+8.28)#77 3.5% (+7.90)#1,369
78. 15472 11.4% 3.1% (+8.26)#78 3.5% (+7.88)#1,374
79. 15456 11.3% 3.1% (+8.22)#79 3.5% (+7.85)#1,390
80. 16640 11.3% 3.1% (+8.17)#80 3.5% (+7.79)#1,405
81. 16840 11.3% 3.1% (+8.16)#81 3.5% (+7.78)#1,410
82. 15045 11.2% 3.1% (+8.10)#82 3.5% (+7.72)#1,424
83. 18101 11.1% 3.1% (+7.96)#83 3.5% (+7.58)#1,468
84. 16881 11.0% 3.1% (+7.88)#84 3.5% (+7.50)#1,492
85. 17214 11.0% 3.1% (+7.87)#85 3.5% (+7.49)#1,494
86. 15459 11.0% 3.1% (+7.85)#86 3.5% (+7.47)#1,501
87. 17729 10.9% 3.1% (+7.80)#87 3.5% (+7.43)#1,510
88. 15477 10.8% 3.1% (+7.65)#88 3.5% (+7.28)#1,556
89. 17951 10.6% 3.1% (+7.46)#89 3.5% (+7.09)#1,602
90. 18370 10.4% 3.1% (+7.33)#90 3.5% (+6.96)#1,647
91. 17266 10.4% 3.1% (+7.33)#91 3.5% (+6.96)#1,649
92. 17885 10.4% 3.1% (+7.33)#92 3.5% (+6.95)#1,652
93. 17029 10.3% 3.1% (+7.24)#93 3.5% (+6.86)#1,685
94. 16353 10.2% 3.1% (+7.07)#94 3.5% (+6.69)#1,738
95. 15076 10.2% 3.1% (+7.06)#95 3.5% (+6.68)#1,742
96. 17581 10.1% 3.1% (+7.01)#96 3.5% (+6.63)#1,760
97. 15110 10.0% 3.1% (+6.93)#97 3.5% (+6.56)#1,794
98. 15331 9.9% 3.1% (+6.80)#98 3.5% (+6.42)#1,850
99. 17563 9.9% 3.1% (+6.78)#99 3.5% (+6.40)#1,859
100. 17506 9.8% 3.1% (+6.70)#100 3.5% (+6.32)#1,900

Common Questions

What are the Top 10 Zip Codes with the Highest Percentage of Population Employed in Cleaning & Maintenance in Pennsylvania?
Top 10 Zip Codes with the Highest Percentage of Population Employed in Cleaning & Maintenance in Pennsylvania are:
#1
100.0%
#2
57.1%
#3
55.6%
#4
47.9%
#5
38.2%
#6
36.7%
#7
36.1%
#8
34.1%
#9
30.2%
#10
29.3%
What zip code has the Highest Percentage of Population Employed in Cleaning & Maintenance in Pennsylvania?
18223 has the Highest Percentage of Population Employed in Cleaning & Maintenance in Pennsylvania with 100.0%.
What is the Percentage of Population Employed in Cleaning & Maintenance in the State of Pennsylvania?
Percentage of Population Employed in Cleaning & Maintenance in Pennsylvania is 3.1%.
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%.