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

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
Michigan
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code % Employed vs State vs National
1. 49075 51.5% 5.7% (+45.8)#1 5.3% (+46.2)#52
2. 49884 25.1% 5.7% (+19.5)#2 5.3% (+19.9)#312
3. 49768 24.6% 5.7% (+18.9)#3 5.3% (+19.3)#323
4. 48440 24.4% 5.7% (+18.7)#4 5.3% (+19.1)#329
5. 48859 24.2% 5.7% (+18.5)#5 5.3% (+18.9)#334
6. 49748 22.5% 5.7% (+16.8)#6 5.3% (+17.2)#401
7. 49808 21.6% 5.7% (+15.9)#7 5.3% (+16.3)#433
8. 49642 21.3% 5.7% (+15.6)#8 5.3% (+16.0)#448
9. 49701 21.2% 5.7% (+15.5)#9 5.3% (+15.9)#450
10. 49119 20.2% 5.7% (+14.6)#10 5.3% (+14.9)#491
11. 49007 19.8% 5.7% (+14.2)#11 5.3% (+14.5)#517
12. 49757 19.0% 5.7% (+13.4)#12 5.3% (+13.7)#562
13. 49458 18.3% 5.7% (+12.7)#13 5.3% (+13.0)#623
14. 49871 18.1% 5.7% (+12.5)#14 5.3% (+12.9)#644
15. 49261 17.6% 5.7% (+11.9)#15 5.3% (+12.3)#698
16. 48190 17.6% 5.7% (+11.9)#16 5.3% (+12.3)#701
17. 49917 16.7% 5.7% (+11.0)#17 5.3% (+11.4)#781
18. 49929 16.3% 5.7% (+10.6)#18 5.3% (+11.0)#821
19. 48651 16.2% 5.7% (+10.5)#19 5.3% (+10.9)#841
20. 48825 16.1% 5.7% (+10.5)#20 5.3% (+10.8)#843
21. 49781 15.4% 5.7% (+9.69)#21 5.3% (+10.1)#936
22. 49304 14.9% 5.7% (+9.22)#22 5.3% (+9.60)#996
23. 49450 14.8% 5.7% (+9.11)#23 5.3% (+9.50)#1,009
24. 49440 14.8% 5.7% (+9.10)#24 5.3% (+9.48)#1,013
25. 49406 14.6% 5.7% (+8.97)#25 5.3% (+9.36)#1,038
26. 49006 14.4% 5.7% (+8.73)#26 5.3% (+9.11)#1,078
27. 49913 14.3% 5.7% (+8.65)#27 5.3% (+9.03)#1,092
28. 49644 13.9% 5.7% (+8.25)#28 5.3% (+8.64)#1,178
29. 48647 13.9% 5.7% (+8.22)#29 5.3% (+8.61)#1,184
30. 49891 13.9% 5.7% (+8.19)#30 5.3% (+8.58)#1,191
31. 49745 13.8% 5.7% (+8.13)#31 5.3% (+8.52)#1,207
32. 49908 13.6% 5.7% (+7.95)#32 5.3% (+8.34)#1,252
33. 48858 12.9% 5.7% (+7.21)#33 5.3% (+7.60)#1,421
34. 48109 12.9% 5.7% (+7.19)#34 5.3% (+7.57)#1,426
35. 49805 12.8% 5.7% (+7.17)#35 5.3% (+7.56)#1,433
36. 49401 12.6% 5.7% (+6.91)#36 5.3% (+7.30)#1,497
37. 49827 12.3% 5.7% (+6.62)#37 5.3% (+7.01)#1,567
38. 49855 12.1% 5.7% (+6.39)#38 5.3% (+6.77)#1,642
39. 49061 11.9% 5.7% (+6.26)#39 5.3% (+6.65)#1,692
40. 49879 11.8% 5.7% (+6.15)#40 5.3% (+6.54)#1,727
41. 48502 11.7% 5.7% (+6.04)#41 5.3% (+6.42)#1,772
42. 49820 11.6% 5.7% (+5.96)#42 5.3% (+6.34)#1,807
43. 49268 11.6% 5.7% (+5.92)#43 5.3% (+6.31)#1,819
44. 48915 11.4% 5.7% (+5.73)#44 5.3% (+6.12)#1,875
45. 49303 11.4% 5.7% (+5.71)#45 5.3% (+6.10)#1,882
46. 49102 11.2% 5.7% (+5.48)#46 5.3% (+5.87)#1,981
47. 48750 11.1% 5.7% (+5.41)#47 5.3% (+5.80)#2,020
48. 48730 11.0% 5.7% (+5.37)#48 5.3% (+5.76)#2,037
49. 49683 11.0% 5.7% (+5.31)#49 5.3% (+5.70)#2,062
50. 49128 11.0% 5.7% (+5.31)#50 5.3% (+5.70)#2,063
51. 49630 11.0% 5.7% (+5.28)#51 5.3% (+5.67)#2,077
52. 49724 10.9% 5.7% (+5.25)#52 5.3% (+5.63)#2,091
53. 49271 10.9% 5.7% (+5.23)#53 5.3% (+5.62)#2,104
54. 49925 10.9% 5.7% (+5.20)#54 5.3% (+5.58)#2,124
55. 48091 10.7% 5.7% (+5.05)#55 5.3% (+5.44)#2,193
56. 49640 10.6% 5.7% (+4.97)#56 5.3% (+5.36)#2,234
57. 49902 10.6% 5.7% (+4.97)#57 5.3% (+5.35)#2,237
58. 49870 10.6% 5.7% (+4.90)#58 5.3% (+5.29)#2,288
59. 48705 10.3% 5.7% (+4.65)#59 5.3% (+5.04)#2,411
60. 49728 10.3% 5.7% (+4.64)#60 5.3% (+5.02)#2,422
61. 48166 10.3% 5.7% (+4.62)#61 5.3% (+5.01)#2,429
62. 48341 10.3% 5.7% (+4.59)#62 5.3% (+4.98)#2,444
63. 49915 10.3% 5.7% (+4.58)#63 5.3% (+4.97)#2,453
64. 48208 10.2% 5.7% (+4.55)#64 5.3% (+4.94)#2,470
65. 49955 10.2% 5.7% (+4.50)#65 5.3% (+4.88)#2,503
66. 48891 10.1% 5.7% (+4.45)#66 5.3% (+4.84)#2,541
67. 48509 10.0% 5.7% (+4.37)#67 5.3% (+4.76)#2,596
68. 49623 10.0% 5.7% (+4.35)#68 5.3% (+4.74)#2,614
69. 48126 10.0% 5.7% (+4.31)#69 5.3% (+4.69)#2,650
70. 48851 9.9% 5.7% (+4.26)#70 5.3% (+4.65)#2,676
71. 49847 9.9% 5.7% (+4.26)#71 5.3% (+4.65)#2,681
72. 48874 9.9% 5.7% (+4.23)#72 5.3% (+4.61)#2,705
73. 49332 9.9% 5.7% (+4.22)#73 5.3% (+4.61)#2,707
74. 49706 9.9% 5.7% (+4.22)#74 5.3% (+4.61)#2,712
75. 48632 9.9% 5.7% (+4.22)#75 5.3% (+4.61)#2,714
76. 49612 9.8% 5.7% (+4.15)#76 5.3% (+4.54)#2,775
77. 48602 9.8% 5.7% (+4.10)#77 5.3% (+4.48)#2,823
78. 49799 9.7% 5.7% (+4.06)#78 5.3% (+4.44)#2,861
79. 49643 9.7% 5.7% (+4.02)#79 5.3% (+4.41)#2,886
80. 49037 9.7% 5.7% (+3.99)#80 5.3% (+4.37)#2,919
81. 49453 9.5% 5.7% (+3.86)#81 5.3% (+4.25)#3,026
82. 49962 9.5% 5.7% (+3.85)#82 5.3% (+4.24)#3,037
83. 48621 9.5% 5.7% (+3.81)#83 5.3% (+4.20)#3,071
84. 49648 9.5% 5.7% (+3.80)#84 5.3% (+4.19)#3,076
85. 48211 9.5% 5.7% (+3.80)#85 5.3% (+4.18)#3,082
86. 49117 9.4% 5.7% (+3.74)#86 5.3% (+4.13)#3,121
87. 49689 9.4% 5.7% (+3.74)#87 5.3% (+4.13)#3,124
88. 49287 9.4% 5.7% (+3.70)#88 5.3% (+4.09)#3,160
89. 49838 9.4% 5.7% (+3.70)#89 5.3% (+4.09)#3,162
90. 49507 9.4% 5.7% (+3.70)#90 5.3% (+4.08)#3,166
91. 48021 9.4% 5.7% (+3.70)#91 5.3% (+4.08)#3,169
92. 49614 9.4% 5.7% (+3.68)#92 5.3% (+4.07)#3,181
93. 49283 9.3% 5.7% (+3.65)#93 5.3% (+4.03)#3,222
94. 49817 9.2% 5.7% (+3.56)#94 5.3% (+3.94)#3,290
95. 49821 9.2% 5.7% (+3.54)#95 5.3% (+3.93)#3,304
96. 49839 9.2% 5.7% (+3.52)#96 5.3% (+3.91)#3,327
97. 48604 9.1% 5.7% (+3.41)#97 5.3% (+3.80)#3,443
98. 49735 9.1% 5.7% (+3.41)#98 5.3% (+3.79)#3,445
99. 49639 9.0% 5.7% (+3.35)#99 5.3% (+3.74)#3,501
100. 48450 9.0% 5.7% (+3.35)#100 5.3% (+3.74)#3,502

Common Questions

What are the Top 10 Zip Codes with the Highest Percentage of Population Employed in Food Preparation & Serving in Michigan?
Top 10 Zip Codes with the Highest Percentage of Population Employed in Food Preparation & Serving in Michigan are:
#1
51.5%
#2
25.1%
#3
24.6%
#4
24.4%
#5
24.2%
#6
22.5%
#7
21.6%
#8
21.3%
#9
21.2%
#10
20.2%
What zip code has the Highest Percentage of Population Employed in Food Preparation & Serving in Michigan?
49075 has the Highest Percentage of Population Employed in Food Preparation & Serving in Michigan with 51.5%.
What is the Percentage of Population Employed in Food Preparation & Serving in the State of Michigan?
Percentage of Population Employed in Food Preparation & Serving in Michigan is 5.7%.
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%.