Zip Codes with the Highest Percentage of Population Employed in Food Preparation & Serving in Ohio

RELATED REPORTS & OPTIONS

Food Preparation & Serving
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
Ohio
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Percentage of Population Employed in Food Preparation & Serving in Ohio

0.0%
60.0%
Zip Codes with the Highest Percentage of Population Employed in Food Preparation & Serving in Ohio Map

Zip Codes with the Highest Percentage of Population Employed in Food Preparation & Serving in Ohio

Zip Code % Employed vs State vs National
1. 45435 55.2% 5.6% (+49.6)#1 5.3% (+49.9)#41
2. 43433 46.5% 5.6% (+40.9)#2 5.3% (+41.2)#69
3. 44828 40.9% 5.6% (+35.3)#3 5.3% (+35.6)#98
4. 45727 36.2% 5.6% (+30.6)#4 5.3% (+30.9)#135
5. 44687 35.3% 5.6% (+29.7)#5 5.3% (+30.0)#147
6. 44850 34.3% 5.6% (+28.7)#6 5.3% (+29.0)#157
7. 43434 32.8% 5.6% (+27.2)#7 5.3% (+27.5)#177
8. 44243 29.2% 5.6% (+23.6)#8 5.3% (+24.0)#228
9. 43547 29.1% 5.6% (+23.4)#9 5.3% (+23.8)#230
10. 45115 28.7% 5.6% (+23.1)#10 5.3% (+23.4)#236
11. 43005 28.4% 5.6% (+22.8)#11 5.3% (+23.1)#241
12. 45636 26.7% 5.6% (+21.1)#12 5.3% (+21.4)#269
13. 44325 26.3% 5.6% (+20.7)#13 5.3% (+21.0)#276
14. 44690 25.7% 5.6% (+20.1)#14 5.3% (+20.4)#295
15. 43717 25.0% 5.6% (+19.4)#15 5.3% (+19.7)#316
16. 45112 25.0% 5.6% (+19.4)#16 5.3% (+19.7)#318
17. 43346 23.7% 5.6% (+18.1)#17 5.3% (+18.4)#355
18. 43740 23.6% 5.6% (+18.0)#18 5.3% (+18.3)#358
19. 43158 23.1% 5.6% (+17.5)#19 5.3% (+17.8)#381
20. 43967 22.1% 5.6% (+16.5)#20 5.3% (+16.9)#415
21. 44304 21.9% 5.6% (+16.3)#21 5.3% (+16.7)#423
22. 45384 21.1% 5.6% (+15.5)#22 5.3% (+15.8)#456
23. 43210 20.0% 5.6% (+14.4)#23 5.3% (+14.8)#499
24. 43940 20.0% 5.6% (+14.4)#24 5.3% (+14.7)#501
25. 43531 19.5% 5.6% (+13.9)#25 5.3% (+14.2)#530
26. 44610 18.9% 5.6% (+13.3)#26 5.3% (+13.7)#570
27. 44506 18.0% 5.6% (+12.4)#27 5.3% (+12.7)#657
28. 45219 18.0% 5.6% (+12.4)#28 5.3% (+12.7)#660
29. 43157 17.6% 5.6% (+11.9)#29 5.3% (+12.3)#702
30. 45352 17.2% 5.6% (+11.6)#30 5.3% (+11.9)#728
31. 45740 17.0% 5.6% (+11.4)#31 5.3% (+11.7)#750
32. 45034 17.0% 5.6% (+11.4)#32 5.3% (+11.7)#752
33. 43403 16.9% 5.6% (+11.3)#33 5.3% (+11.6)#759
34. 43322 16.7% 5.6% (+11.1)#34 5.3% (+11.5)#769
35. 43565 16.4% 5.6% (+10.8)#35 5.3% (+11.1)#804
36. 45055 15.7% 5.6% (+10.1)#36 5.3% (+10.4)#890
37. 44703 15.1% 5.6% (+9.52)#37 5.3% (+9.84)#965
38. 45370 15.0% 5.6% (+9.37)#38 5.3% (+9.69)#984
39. 43759 15.0% 5.6% (+9.35)#39 5.3% (+9.67)#988
40. 45652 14.9% 5.6% (+9.27)#40 5.3% (+9.59)#1,002
41. 45695 14.8% 5.6% (+9.17)#41 5.3% (+9.49)#1,012
42. 43948 14.7% 5.6% (+9.13)#42 5.3% (+9.44)#1,024
43. 45789 14.7% 5.6% (+9.10)#43 5.3% (+9.42)#1,029
44. 45216 14.6% 5.6% (+8.95)#44 5.3% (+9.27)#1,047
45. 45646 14.5% 5.6% (+8.88)#45 5.3% (+9.19)#1,062
46. 45333 14.5% 5.6% (+8.85)#46 5.3% (+9.17)#1,071
47. 45225 14.4% 5.6% (+8.76)#47 5.3% (+9.08)#1,085
48. 45645 14.3% 5.6% (+8.68)#48 5.3% (+9.00)#1,094
49. 45155 14.2% 5.6% (+8.61)#49 5.3% (+8.93)#1,118
50. 45056 14.2% 5.6% (+8.59)#50 5.3% (+8.91)#1,123
51. 43467 13.8% 5.6% (+8.24)#51 5.3% (+8.56)#1,195
52. 45070 13.6% 5.6% (+7.95)#52 5.3% (+8.27)#1,262
53. 44652 13.5% 5.6% (+7.94)#53 5.3% (+8.26)#1,265
54. 45746 13.5% 5.6% (+7.91)#54 5.3% (+8.23)#1,270
55. 44607 13.5% 5.6% (+7.91)#55 5.3% (+8.23)#1,274
56. 45701 13.2% 5.6% (+7.63)#56 5.3% (+7.95)#1,332
57. 45214 13.2% 5.6% (+7.56)#57 5.3% (+7.88)#1,349
58. 44665 13.2% 5.6% (+7.55)#58 5.3% (+7.87)#1,356
59. 45361 13.0% 5.6% (+7.44)#59 5.3% (+7.76)#1,382
60. 45671 13.0% 5.6% (+7.41)#60 5.3% (+7.73)#1,391
61. 44634 12.9% 5.6% (+7.33)#61 5.3% (+7.65)#1,408
62. 45404 12.8% 5.6% (+7.23)#62 5.3% (+7.55)#1,434
63. 45816 12.8% 5.6% (+7.18)#63 5.3% (+7.50)#1,445
64. 44450 12.7% 5.6% (+7.14)#64 5.3% (+7.46)#1,454
65. 45033 12.7% 5.6% (+7.08)#65 5.3% (+7.40)#1,469
66. 43908 12.6% 5.6% (+6.95)#66 5.3% (+7.27)#1,505
67. 43541 12.5% 5.6% (+6.89)#67 5.3% (+7.21)#1,520
68. 45659 12.4% 5.6% (+6.82)#68 5.3% (+7.14)#1,537
69. 43845 12.4% 5.6% (+6.76)#69 5.3% (+7.08)#1,551
70. 44509 12.4% 5.6% (+6.76)#70 5.3% (+7.08)#1,552
71. 43985 12.4% 5.6% (+6.75)#71 5.3% (+7.07)#1,554
72. 44301 12.2% 5.6% (+6.62)#72 5.3% (+6.94)#1,588
73. 44311 12.1% 5.6% (+6.54)#73 5.3% (+6.86)#1,615
74. 45207 12.1% 5.6% (+6.48)#74 5.3% (+6.80)#1,631
75. 43211 12.0% 5.6% (+6.42)#75 5.3% (+6.74)#1,655
76. 43505 12.0% 5.6% (+6.39)#76 5.3% (+6.71)#1,668
77. 45680 11.9% 5.6% (+6.29)#77 5.3% (+6.61)#1,706
78. 45678 11.8% 5.6% (+6.24)#78 5.3% (+6.56)#1,720
79. 43968 11.7% 5.6% (+6.11)#79 5.3% (+6.43)#1,766
80. 45316 11.7% 5.6% (+6.04)#80 5.3% (+6.36)#1,794
81. 44856 11.6% 5.6% (+6.02)#81 5.3% (+6.34)#1,808
82. 45111 11.6% 5.6% (+6.00)#82 5.3% (+6.32)#1,817
83. 45101 11.5% 5.6% (+5.94)#83 5.3% (+6.26)#1,831
84. 45205 11.5% 5.6% (+5.89)#84 5.3% (+6.21)#1,844
85. 43501 11.4% 5.6% (+5.77)#85 5.3% (+6.09)#1,885
86. 43061 11.3% 5.6% (+5.74)#86 5.3% (+6.06)#1,899
87. 43435 11.3% 5.6% (+5.73)#87 5.3% (+6.05)#1,901
88. 44429 11.2% 5.6% (+5.62)#88 5.3% (+5.94)#1,945
89. 45812 11.2% 5.6% (+5.61)#89 5.3% (+5.93)#1,954
90. 45131 11.2% 5.6% (+5.60)#90 5.3% (+5.92)#1,955
91. 44902 11.2% 5.6% (+5.57)#91 5.3% (+5.89)#1,971
92. 45314 11.2% 5.6% (+5.56)#92 5.3% (+5.88)#1,974
93. 43022 11.2% 5.6% (+5.56)#93 5.3% (+5.88)#1,979
94. 44683 11.1% 5.6% (+5.50)#94 5.3% (+5.82)#2,014
95. 44710 11.1% 5.6% (+5.47)#95 5.3% (+5.79)#2,023
96. 44310 11.1% 5.6% (+5.45)#96 5.3% (+5.77)#2,031
97. 45719 11.0% 5.6% (+5.42)#97 5.3% (+5.74)#2,047
98. 44625 10.9% 5.6% (+5.31)#98 5.3% (+5.63)#2,093
99. 44504 10.9% 5.6% (+5.28)#99 5.3% (+5.60)#2,115
100. 43609 10.8% 5.6% (+5.22)#100 5.3% (+5.54)#2,143

Common Questions

What are the Top 10 Zip Codes with the Highest Percentage of Population Employed in Food Preparation & Serving in Ohio?
Top 10 Zip Codes with the Highest Percentage of Population Employed in Food Preparation & Serving in Ohio are:
#1
55.2%
#2
46.5%
#3
40.9%
#4
36.2%
#5
35.3%
#6
34.3%
#7
32.8%
#8
29.2%
#9
29.1%
#10
28.7%
What zip code has the Highest Percentage of Population Employed in Food Preparation & Serving in Ohio?
45435 has the Highest Percentage of Population Employed in Food Preparation & Serving in Ohio with 55.2%.
What is the Percentage of Population Employed in Food Preparation & Serving in the State of Ohio?
Percentage of Population Employed in Food Preparation & Serving in Ohio is 5.6%.
What is the Percentage of Population Employed in Food Preparation & Serving in the United States?
Percentage of Population Employed in Food Preparation & Serving in the United States is 5.3%.