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

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
Minnesota
Compare Zip Codes
Comparison Subject

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

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30.0%
Zip Codes with the Highest Percentage of Population Employed in Food Preparation & Serving in Minnesota Map

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

Zip Code % Employed vs State vs National
1. 56030 28.6% 4.7% (+23.8)#1 5.3% (+23.3)#239
2. 55758 28.0% 4.7% (+23.3)#2 5.3% (+22.7)#247
3. 55036 23.1% 4.7% (+18.3)#3 5.3% (+17.8)#384
4. 55455 20.3% 4.7% (+15.6)#4 5.3% (+15.0)#486
5. 56321 19.7% 4.7% (+14.9)#5 5.3% (+14.4)#524
6. 56563 16.4% 4.7% (+11.6)#6 5.3% (+11.1)#811
7. 55384 16.1% 4.7% (+11.4)#7 5.3% (+10.8)#851
8. 56591 15.6% 4.7% (+10.9)#8 5.3% (+10.3)#900
9. 56363 15.4% 4.7% (+10.7)#9 5.3% (+10.2)#924
10. 55603 14.1% 4.7% (+9.38)#10 5.3% (+8.82)#1,142
11. 55796 13.6% 4.7% (+8.83)#11 5.3% (+8.27)#1,263
12. 55780 13.5% 4.7% (+8.75)#12 5.3% (+8.20)#1,283
13. 55333 13.0% 4.7% (+8.23)#13 5.3% (+7.67)#1,401
14. 55748 12.9% 4.7% (+8.17)#14 5.3% (+7.61)#1,420
15. 56161 12.6% 4.7% (+7.84)#15 5.3% (+7.29)#1,503
16. 56686 12.5% 4.7% (+7.74)#16 5.3% (+7.19)#1,526
17. 56759 12.4% 4.7% (+7.70)#17 5.3% (+7.14)#1,536
18. 56389 12.2% 4.7% (+7.46)#18 5.3% (+6.91)#1,599
19. 56484 11.7% 4.7% (+6.98)#19 5.3% (+6.42)#1,771
20. 55785 11.7% 4.7% (+6.94)#20 5.3% (+6.38)#1,787
21. 56023 11.7% 4.7% (+6.93)#21 5.3% (+6.37)#1,789
22. 56663 11.4% 4.7% (+6.63)#22 5.3% (+6.08)#1,892
23. 55806 11.3% 4.7% (+6.62)#23 5.3% (+6.06)#1,900
24. 55404 11.1% 4.7% (+6.40)#24 5.3% (+5.84)#1,989
25. 56724 11.1% 4.7% (+6.38)#25 5.3% (+5.83)#2,005
26. 55812 11.0% 4.7% (+6.23)#26 5.3% (+5.67)#2,076
27. 56270 10.9% 4.7% (+6.18)#27 5.3% (+5.63)#2,095
28. 56160 10.8% 4.7% (+6.05)#28 5.3% (+5.50)#2,164
29. 56386 10.5% 4.7% (+5.79)#29 5.3% (+5.24)#2,314
30. 55403 10.5% 4.7% (+5.79)#30 5.3% (+5.23)#2,321
31. 55742 10.5% 4.7% (+5.73)#31 5.3% (+5.18)#2,343
32. 55805 10.5% 4.7% (+5.73)#32 5.3% (+5.17)#2,347
33. 55366 10.4% 4.7% (+5.63)#33 5.3% (+5.07)#2,396
34. 55952 10.3% 4.7% (+5.59)#34 5.3% (+5.04)#2,408
35. 55716 10.3% 4.7% (+5.58)#35 5.3% (+5.02)#2,423
36. 56301 10.1% 4.7% (+5.34)#36 5.3% (+4.79)#2,577
37. 56441 10.0% 4.7% (+5.30)#37 5.3% (+4.74)#2,609
38. 55072 10.0% 4.7% (+5.28)#38 5.3% (+4.72)#2,623
39. 55749 9.9% 4.7% (+5.16)#39 5.3% (+4.61)#2,710
40. 55723 9.8% 4.7% (+5.12)#40 5.3% (+4.56)#2,753
41. 55792 9.8% 4.7% (+5.11)#41 5.3% (+4.55)#2,762
42. 56639 9.8% 4.7% (+5.07)#42 5.3% (+4.52)#2,800
43. 56734 9.8% 4.7% (+5.04)#43 5.3% (+4.49)#2,820
44. 56267 9.8% 4.7% (+5.02)#44 5.3% (+4.47)#2,841
45. 55712 9.6% 4.7% (+4.89)#45 5.3% (+4.34)#2,949
46. 56137 9.6% 4.7% (+4.85)#46 5.3% (+4.30)#2,990
47. 56141 9.4% 4.7% (+4.67)#47 5.3% (+4.12)#3,137
48. 56164 9.4% 4.7% (+4.64)#48 5.3% (+4.08)#3,168
49. 56239 9.3% 4.7% (+4.58)#49 5.3% (+4.02)#3,229
50. 56546 9.2% 4.7% (+4.44)#50 5.3% (+3.88)#3,356
51. 56240 9.2% 4.7% (+4.43)#51 5.3% (+3.88)#3,360
52. 56032 9.1% 4.7% (+4.36)#52 5.3% (+3.80)#3,430
53. 56627 9.1% 4.7% (+4.36)#53 5.3% (+3.80)#3,433
54. 55411 9.0% 4.7% (+4.31)#54 5.3% (+3.76)#3,481
55. 55713 9.0% 4.7% (+4.31)#55 5.3% (+3.75)#3,483
56. 55055 8.9% 4.7% (+4.22)#56 5.3% (+3.66)#3,575
57. 55782 8.9% 4.7% (+4.17)#57 5.3% (+3.61)#3,618
58. 55308 8.9% 4.7% (+4.13)#58 5.3% (+3.57)#3,659
59. 56562 8.8% 4.7% (+4.09)#59 5.3% (+3.54)#3,700
60. 56170 8.8% 4.7% (+4.06)#60 5.3% (+3.50)#3,740
61. 56001 8.8% 4.7% (+4.05)#61 5.3% (+3.50)#3,743
62. 56435 8.7% 4.7% (+4.00)#62 5.3% (+3.44)#3,809
63. 55607 8.6% 4.7% (+3.84)#63 5.3% (+3.29)#4,004
64. 56331 8.6% 4.7% (+3.83)#64 5.3% (+3.28)#4,013
65. 56672 8.3% 4.7% (+3.58)#65 5.3% (+3.02)#4,310
66. 55724 8.3% 4.7% (+3.58)#66 5.3% (+3.02)#4,311
67. 56156 8.3% 4.7% (+3.53)#67 5.3% (+2.97)#4,361
68. 55090 8.2% 4.7% (+3.51)#68 5.3% (+2.96)#4,386
69. 56651 8.2% 4.7% (+3.48)#69 5.3% (+2.93)#4,419
70. 56566 8.2% 4.7% (+3.46)#70 5.3% (+2.90)#4,454
71. 55922 8.1% 4.7% (+3.36)#71 5.3% (+2.81)#4,576
72. 56082 8.0% 4.7% (+3.31)#72 5.3% (+2.76)#4,668
73. 56339 8.0% 4.7% (+3.29)#73 5.3% (+2.74)#4,697
74. 55744 7.9% 4.7% (+3.21)#74 5.3% (+2.66)#4,817
75. 55414 7.9% 4.7% (+3.18)#75 5.3% (+2.62)#4,877
76. 56359 7.9% 4.7% (+3.14)#76 5.3% (+2.59)#4,929
77. 56621 7.9% 4.7% (+3.13)#77 5.3% (+2.58)#4,938
78. 55722 7.9% 4.7% (+3.13)#78 5.3% (+2.58)#4,939
79. 56543 7.8% 4.7% (+3.09)#79 5.3% (+2.54)#5,002
80. 56450 7.8% 4.7% (+3.06)#80 5.3% (+2.51)#5,064
81. 56228 7.8% 4.7% (+3.06)#81 5.3% (+2.51)#5,070
82. 56288 7.8% 4.7% (+3.05)#82 5.3% (+2.49)#5,090
83. 56681 7.8% 4.7% (+3.04)#83 5.3% (+2.48)#5,109
84. 56071 7.7% 4.7% (+3.00)#84 5.3% (+2.44)#5,174
85. 55756 7.7% 4.7% (+2.96)#85 5.3% (+2.41)#5,223
86. 55128 7.7% 4.7% (+2.92)#86 5.3% (+2.37)#5,292
87. 55746 7.6% 4.7% (+2.91)#87 5.3% (+2.35)#5,312
88. 56325 7.6% 4.7% (+2.89)#88 5.3% (+2.33)#5,348
89. 55103 7.6% 4.7% (+2.84)#89 5.3% (+2.29)#5,426
90. 56369 7.6% 4.7% (+2.84)#90 5.3% (+2.28)#5,433
91. 56710 7.5% 4.7% (+2.81)#91 5.3% (+2.25)#5,489
92. 55961 7.5% 4.7% (+2.80)#92 5.3% (+2.24)#5,503
93. 55808 7.5% 4.7% (+2.77)#93 5.3% (+2.22)#5,554
94. 56442 7.5% 4.7% (+2.75)#94 5.3% (+2.20)#5,585
95. 56144 7.4% 4.7% (+2.65)#95 5.3% (+2.09)#5,783
96. 56732 7.4% 4.7% (+2.65)#96 5.3% (+2.09)#5,784
97. 55057 7.4% 4.7% (+2.64)#97 5.3% (+2.08)#5,803
98. 56181 7.4% 4.7% (+2.62)#98 5.3% (+2.07)#5,837
99. 56565 7.4% 4.7% (+2.62)#99 5.3% (+2.07)#5,841
100. 55107 7.3% 4.7% (+2.60)#100 5.3% (+2.04)#5,882

Common Questions

What are the Top 10 Zip Codes with the Highest Percentage of Population Employed in Food Preparation & Serving in Minnesota?
Top 10 Zip Codes with the Highest Percentage of Population Employed in Food Preparation & Serving in Minnesota are:
#1
28.6%
#2
28.0%
#3
23.1%
#4
20.3%
#5
19.7%
#6
16.4%
#7
16.1%
#8
15.6%
#9
15.4%
#10
14.1%
What zip code has the Highest Percentage of Population Employed in Food Preparation & Serving in Minnesota?
56030 has the Highest Percentage of Population Employed in Food Preparation & Serving in Minnesota with 28.6%.
What is the Percentage of Population Employed in Food Preparation & Serving in the State of Minnesota?
Percentage of Population Employed in Food Preparation & Serving in Minnesota is 4.7%.
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%.