Zip Codes with the Highest Percentage of Population Employed in Construction & Extraction in Minnesota

RELATED REPORTS & OPTIONS

Construction & Extraction
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 Construction & Extraction in Minnesota

10.0%
40.0%
Zip Codes with the Highest Percentage of Population Employed in Construction & Extraction in Minnesota Map

Zip Codes with the Highest Percentage of Population Employed in Construction & Extraction in Minnesota

Zip Code % Employed vs State vs National
1. 56313 30.4% 4.4% (+26.1)#1 5.0% (+25.4)#389
2. 56146 30.3% 4.4% (+25.9)#2 5.0% (+25.3)#393
3. 56030 28.6% 4.4% (+24.2)#3 5.0% (+23.6)#442
4. 55742 24.4% 4.4% (+20.0)#4 5.0% (+19.4)#625
5. 56287 23.3% 4.4% (+18.9)#5 5.0% (+18.3)#703
6. 56371 22.6% 4.4% (+18.3)#6 5.0% (+17.6)#742
7. 55029 22.2% 4.4% (+17.8)#7 5.0% (+17.2)#777
8. 55725 20.0% 4.4% (+15.6)#8 5.0% (+15.0)#1,002
9. 55765 18.7% 4.4% (+14.4)#9 5.0% (+13.7)#1,175
10. 56541 18.5% 4.4% (+14.1)#10 5.0% (+13.5)#1,213
11. 55710 18.3% 4.4% (+14.0)#11 5.0% (+13.3)#1,243
12. 55026 18.0% 4.4% (+13.6)#12 5.0% (+13.0)#1,303
13. 55922 17.9% 4.4% (+13.6)#13 5.0% (+12.9)#1,308
14. 56255 17.1% 4.4% (+12.7)#14 5.0% (+12.1)#1,450
15. 56434 16.9% 4.4% (+12.5)#15 5.0% (+11.9)#1,501
16. 55370 16.7% 4.4% (+12.3)#16 5.0% (+11.7)#1,527
17. 56338 16.7% 4.4% (+12.3)#17 5.0% (+11.7)#1,532
18. 56744 16.7% 4.4% (+12.3)#18 5.0% (+11.7)#1,541
19. 55785 16.7% 4.4% (+12.3)#19 5.0% (+11.7)#1,545
20. 56294 16.4% 4.4% (+12.0)#20 5.0% (+11.4)#1,625
21. 56358 16.0% 4.4% (+11.6)#21 5.0% (+11.0)#1,726
22. 56139 15.7% 4.4% (+11.4)#22 5.0% (+10.8)#1,783
23. 55782 15.7% 4.4% (+11.3)#23 5.0% (+10.7)#1,796
24. 55706 15.6% 4.4% (+11.2)#24 5.0% (+10.6)#1,828
25. 56724 15.6% 4.4% (+11.2)#25 5.0% (+10.6)#1,836
26. 55601 15.5% 4.4% (+11.1)#26 5.0% (+10.5)#1,856
27. 55036 15.4% 4.4% (+11.0)#27 5.0% (+10.4)#1,887
28. 56022 15.2% 4.4% (+10.8)#28 5.0% (+10.2)#1,946
29. 56592 15.2% 4.4% (+10.8)#29 5.0% (+10.2)#1,968
30. 55389 15.1% 4.4% (+10.7)#30 5.0% (+10.1)#1,978
31. 56458 14.9% 4.4% (+10.5)#31 5.0% (+9.90)#2,067
32. 55711 14.9% 4.4% (+10.5)#32 5.0% (+9.89)#2,072
33. 56736 14.6% 4.4% (+10.2)#33 5.0% (+9.57)#2,214
34. 56125 14.3% 4.4% (+9.90)#34 5.0% (+9.29)#2,336
35. 56035 14.2% 4.4% (+9.84)#35 5.0% (+9.22)#2,358
36. 55030 14.2% 4.4% (+9.80)#36 5.0% (+9.19)#2,370
37. 56646 14.1% 4.4% (+9.71)#37 5.0% (+9.10)#2,413
38. 55732 13.7% 4.4% (+9.34)#38 5.0% (+8.73)#2,578
39. 56153 13.7% 4.4% (+9.34)#39 5.0% (+8.73)#2,583
40. 56628 13.7% 4.4% (+9.28)#40 5.0% (+8.66)#2,626
41. 55726 13.6% 4.4% (+9.25)#41 5.0% (+8.63)#2,643
42. 56545 13.5% 4.4% (+9.12)#42 5.0% (+8.51)#2,707
43. 56375 13.3% 4.4% (+8.91)#43 5.0% (+8.30)#2,800
44. 56528 13.1% 4.4% (+8.76)#44 5.0% (+8.15)#2,865
45. 55708 13.1% 4.4% (+8.71)#45 5.0% (+8.10)#2,881
46. 55011 13.0% 4.4% (+8.60)#46 5.0% (+7.98)#2,948
47. 56113 12.9% 4.4% (+8.52)#47 5.0% (+7.91)#2,991
48. 55974 12.9% 4.4% (+8.48)#48 5.0% (+7.87)#3,012
49. 55085 12.8% 4.4% (+8.46)#49 5.0% (+7.85)#3,021
50. 56350 12.8% 4.4% (+8.44)#50 5.0% (+7.83)#3,034
51. 55368 12.8% 4.4% (+8.42)#51 5.0% (+7.81)#3,048
52. 55703 12.8% 4.4% (+8.42)#52 5.0% (+7.80)#3,050
53. 56737 12.7% 4.4% (+8.36)#53 5.0% (+7.75)#3,084
54. 55321 12.7% 4.4% (+8.32)#54 5.0% (+7.70)#3,119
55. 55702 12.6% 4.4% (+8.18)#55 5.0% (+7.57)#3,210
56. 55717 12.5% 4.4% (+8.12)#56 5.0% (+7.51)#3,262
57. 56680 12.5% 4.4% (+8.12)#57 5.0% (+7.51)#3,270
58. 56357 12.4% 4.4% (+8.05)#58 5.0% (+7.44)#3,319
59. 55338 12.4% 4.4% (+8.00)#59 5.0% (+7.39)#3,353
60. 56517 12.3% 4.4% (+7.95)#60 5.0% (+7.33)#3,386
61. 56046 12.3% 4.4% (+7.93)#61 5.0% (+7.31)#3,396
62. 55070 12.2% 4.4% (+7.82)#62 5.0% (+7.21)#3,456
63. 56060 12.2% 4.4% (+7.81)#63 5.0% (+7.20)#3,460
64. 56684 12.1% 4.4% (+7.76)#64 5.0% (+7.14)#3,503
65. 56676 12.1% 4.4% (+7.75)#65 5.0% (+7.14)#3,507
66. 56037 12.1% 4.4% (+7.70)#66 5.0% (+7.09)#3,540
67. 56667 12.1% 4.4% (+7.68)#67 5.0% (+7.06)#3,551
68. 56652 12.0% 4.4% (+7.65)#68 5.0% (+7.04)#3,568
69. 55069 12.0% 4.4% (+7.64)#69 5.0% (+7.02)#3,575
70. 55705 11.9% 4.4% (+7.51)#70 5.0% (+6.90)#3,653
71. 55945 11.9% 4.4% (+7.48)#71 5.0% (+6.87)#3,672
72. 56639 11.8% 4.4% (+7.38)#72 5.0% (+6.77)#3,742
73. 55919 11.7% 4.4% (+7.33)#73 5.0% (+6.72)#3,797
74. 56052 11.7% 4.4% (+7.32)#74 5.0% (+6.70)#3,811
75. 55063 11.7% 4.4% (+7.30)#75 5.0% (+6.68)#3,826
76. 56641 11.7% 4.4% (+7.29)#76 5.0% (+6.67)#3,840
77. 56681 11.7% 4.4% (+7.27)#77 5.0% (+6.66)#3,852
78. 55040 11.6% 4.4% (+7.26)#78 5.0% (+6.65)#3,858
79. 55007 11.6% 4.4% (+7.25)#79 5.0% (+6.63)#3,869
80. 55738 11.6% 4.4% (+7.18)#80 5.0% (+6.57)#3,914
81. 55790 11.6% 4.4% (+7.18)#81 5.0% (+6.57)#3,916
82. 55771 11.5% 4.4% (+7.14)#82 5.0% (+6.52)#3,945
83. 55977 11.5% 4.4% (+7.11)#83 5.0% (+6.50)#3,963
84. 55032 11.4% 4.4% (+7.05)#84 5.0% (+6.44)#4,012
85. 56651 11.4% 4.4% (+7.05)#85 5.0% (+6.43)#4,014
86. 55006 11.4% 4.4% (+7.01)#86 5.0% (+6.40)#4,038
87. 55724 11.4% 4.4% (+6.98)#87 5.0% (+6.36)#4,061
88. 56548 11.4% 4.4% (+6.98)#88 5.0% (+6.36)#4,062
89. 55793 11.3% 4.4% (+6.96)#89 5.0% (+6.34)#4,081
90. 56244 11.3% 4.4% (+6.94)#90 5.0% (+6.33)#4,090
91. 55734 11.3% 4.4% (+6.89)#91 5.0% (+6.28)#4,133
92. 55349 11.2% 4.4% (+6.86)#92 5.0% (+6.25)#4,158
93. 55074 11.2% 4.4% (+6.82)#93 5.0% (+6.20)#4,191
94. 56044 11.2% 4.4% (+6.79)#94 5.0% (+6.18)#4,223
95. 55615 11.1% 4.4% (+6.73)#95 5.0% (+6.12)#4,276
96. 55979 11.1% 4.4% (+6.71)#96 5.0% (+6.09)#4,301
97. 56340 11.1% 4.4% (+6.71)#97 5.0% (+6.09)#4,302
98. 56175 11.0% 4.4% (+6.65)#98 5.0% (+6.04)#4,338
99. 56587 11.0% 4.4% (+6.63)#99 5.0% (+6.02)#4,356
100. 56336 11.0% 4.4% (+6.60)#100 5.0% (+5.99)#4,382

Common Questions

What are the Top 10 Zip Codes with the Highest Percentage of Population Employed in Construction & Extraction in Minnesota?
Top 10 Zip Codes with the Highest Percentage of Population Employed in Construction & Extraction in Minnesota are:
#1
30.4%
#2
30.3%
#3
28.6%
#4
24.4%
#5
23.3%
#6
22.6%
#7
22.2%
#8
20.0%
#9
18.7%
#10
18.5%
What zip code has the Highest Percentage of Population Employed in Construction & Extraction in Minnesota?
56313 has the Highest Percentage of Population Employed in Construction & Extraction in Minnesota with 30.4%.
What is the Percentage of Population Employed in Construction & Extraction in the State of Minnesota?
Percentage of Population Employed in Construction & Extraction in Minnesota is 4.4%.
What is the Percentage of Population Employed in Construction & Extraction in the United States?
Percentage of Population Employed in Construction & Extraction in the United States is 5.0%.