Occupations in Columbus, Kenosha, Wisconsin (Neighborhood)

Occupations#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Kenosha and Columbus
Columbus
Kenosha
0%5%10%CountFood ServiceAdministrativeMaterial MovingProductionSales and RelatedPersonal CareTransportationFacilitiesHealthcare SupportRepair1Construction2Health TechniciansManagementEducation3Healthcare4Farming5Social ServiceComputers & MathBusiness6Engineering7Entertainment8LegalLaw EnforcementScienceFire Fighting12.699396%7.162643%12.699396%12.7%20211.784703%14.728784%11.784703%11.8%18718811.721721%5.014286%11.721721%11.7%18618710.296012%8.235730%10.296012%10.3%1649.153086%9.129970%9.153086%9.2%1451466.893815%3.677288%6.893815%6.9%1091105.907530%3.585683%5.907530%5.9%944.859829%3.862680%4.859829%4.9%774.772982%3.376300%4.772982%4.8%764.342967%3.537700%4.342967%4.3%692.937394%3.795066%2.937394%2.9%46472.832432%2.233418%2.832432%2.8%452.777252%6.844206%2.777252%2.8%442.456752%6.394905%2.456752%2.5%392.020921%3.511527%2.020921%2.0%320.967258%0.447120%0.967258%1.0%150.893356%1.703418%0.893356%0.9%140.709300%2.462431%0.709300%0.7%110.545305%3.936836%0.545305%0.5%890.510764%1.520208%0.510764%0.5%80.408611%1.727410%0.408611%0.4%670.216146%0.458025%0.216146%0.2%30.170745%0.948767%0.170745%0.2%230.121724%0.774281%0.121724%0.1%120.000000%0.000000%0.0%0.931318%0

Relative Occupations#2

Percentage more or less common in Columbus than in Kenosha, among the civilian employed population aged 16 and older.
Scope: population of Kenosha and Columbus
Less Common
More Common
100%0%100%%ref.Material MovingFarming1Personal CareFood ServiceTransportationHealthcare SupportHealth TechniciansFacilitiesProductionRepair2Sales and RelatedAdministrativeConstruction3Healthcare4Social ServiceLegalManagementEducation5Engineering6Computers & MathEntertainment7Law EnforcementScienceBusiness8Fire Fighting133.766502%133.766502%133.8%11.722%11.7%5.014%5.01%116.330891%116.330891%116.3%0.967%0.97%0.447%0.45%87.470072%87.470072%87.5%6.894%6.89%3.677%3.68%77.300423%77.300423%77.3%12.699%12.7%7.163%7.16%64.753250%64.753250%64.8%5.908%5.91%3.586%3.59%41.367205%41.367205%41.4%4.773%4.77%3.376%3.38%26.820487%26.820487%26.8%2.832%2.83%2.233%2.23%25.814971%25.814971%25.8%4.860%4.86%3.863%3.86%25.016380%25.016380%25.0%10.296%10.3%8.236%8.24%22.762455%22.762455%22.8%4.343%4.34%3.538%3.54%0.253191%0.253191%0.3%9.153%9.15%9.130%9.13%-19.988618%-19.988618%20.0%11.785%11.8%14.729%14.7%-22.599674%-22.599674%22.6%2.937%2.94%3.795%3.80%-42.448944%-42.448944%42.4%2.021%2.02%3.512%3.51%-47.555093%-47.555093%47.6%0.893%0.89%1.703%1.70%-52.809158%-52.809158%52.8%0.216%0.22%0.458%0.46%-59.421846%-59.421846%59.4%2.777%2.78%6.844%6.84%-61.582668%-61.582668%61.6%2.457%2.46%6.395%6.39%-66.401726%-66.401726%66.4%0.511%0.51%1.520%1.52%-71.195144%-71.195144%71.2%0.709%0.71%2.462%2.46%-76.345458%-76.345458%76.3%0.409%0.41%1.727%1.73%-82.003501%-82.003501%82.0%0.171%0.17%0.949%0.95%-84.279145%-84.279145%84.3%0.122%0.12%0.774%0.77%-86.148657%-86.148657%86.1%0.545%0.55%3.937%3.94%-100.000000%-100.000000%100.0%0.000%0%0.931%0.93%

Sex Ratio by Occupation#3

Sex ratio by occupation among the civilian employed population aged 16 and older.
Scope: population of Kenosha and Columbus
Female Male
Kenosha
Columbus
3x2x1x0x1x2x3xFMFacilitiesMaterial MovingProductionFood ServiceManagementAll OccupationsLegalSocial ServiceSales and RelatedEntertainment1-1.000000x-1.000000x-1.000000x1.925759x1.432692x1.925759x1.93x265051-1.000000x-1.000000x-1.000000x1.877177x4.409412x1.877177x1.88x6465121122-1.000000x-1.000000x-1.000000x1.643076x2.420290x1.643076x1.64x62102-1.000000x-1.204027x-1.000000x1.615082x1.000000x1.615082x1.62x77125-1.000000x-1.000000x-1.000000x1.571343x1.174636x1.571343x1.57x1727-1.048236x-1.000000x-1.048236x1.05x1.000000x1.014986x1.000000x815816778-1.367616x-1.470588x-1.367616x1.37x1.000000x1.000000x1.000000x121-2.453750x-2.174797x-2.453750x2.45x1.000000x1.000000x1.000000x104-2.529561x-1.182482x-2.529561x2.53x1.000000x1.000000x1.000000x10410541-3.000000x-1.828571x-3.000000x3.00x1.000000x1.000000x1.000000x4512

Part Timers by Occupation#4

Part time and seasonal workers as a percentage of total workforce within an occupation.
Scope: population of Kenosha and Columbus
Columbus
Kenosha
0%50%100%PartFullScienceEntertainment1Personal CareHealthcare SupportSales and RelatedConstruction2Food ServiceEngineering3Material MovingLaw EnforcementAll OccupationsProductionFacilitiesEducation4AdministrativeRepair5TransportationSocial ServiceHealthcare6Health TechniciansFarming7ManagementBusiness8Computers & MathLegal100.000000%17.746479%100.000000%100.0%12075.000000%37.752525%75.000000%75.0%451270.075164%55.338078%70.075164%70.1%77323367.655813%45.865633%67.655813%67.7%51242564.342903%41.591018%64.342903%64.3%93945258.165160%52.126437%58.165160%58.2%27192052.952046%66.169306%52.952046%53.0%1079551.111111%27.259684%51.111111%51.1%43449.346328%31.361462%49.346328%49.3%92949546.532671%8.045977%46.532671%46.5%1144.404957%33.309342%44.404957%44.4%70770888639.561413%22.590042%39.561413%39.6%64659938.091541%42.348955%38.091541%38.1%2930474837.543373%41.575716%37.543373%37.5%14152434.782630%29.646083%34.782630%34.8%6512212334.612407%16.584464%34.612407%34.6%23244529.989438%26.399027%29.989438%30.0%28656627.250857%19.206146%27.250857%27.3%341025.598486%24.223602%25.598486%25.6%8232413.624694%47.265625%13.624694%13.6%63910.561056%31.219512%10.561056%10.6%1213140.000000%0.000000%0.0%12.205226%0440.000000%0.000000%0.0%13.296399%0890.000000%0.000000%0.0%10.186005%0110.000000%0.000000%0.0%16.190476%03

Median Income by Occupation#5

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Kenosha and Columbus
Columbus
Kenosha
$0k$20k$40k$60k%CountManagementConstruction1Sales and RelatedEducation2Healthcare3Computers & MathRepair4TransportationFacilitiesHealth TechniciansAdministrativeAll OccupationsProductionHealthcare SupportFood ServicePersonal CareMaterial Moving$68,198.126466$69,116.000000$68,198.126466$68.2k2.777%2.78%44$58,348.000000$60,868.000000$58,348.000000$58.3k2.937%2.94%4647$57,511.855012$40,334.000000$57,511.855012$57.5k9.153%9.15%145146$55,982.000000$50,471.000000$55,982.000000$56.0k2.457%2.46%39$48,344.000000$70,546.000000$48,344.000000$48.3k2.021%2.02%32$47,426.000000$70,779.000000$47,426.000000$47.4k0.709%0.71%11$45,027.896859$48,175.000000$45,027.896859$45.0k4.343%4.34%69$35,391.676252$42,030.000000$35,391.676252$35.4k5.908%5.91%94$32,945.478382$30,763.000000$32,945.478382$32.9k4.860%4.86%77$32,925.382557$43,049.000000$32,925.382557$32.9k2.832%2.83%45$29,204.709640$35,905.000000$29,204.709640$29.2k11.785%11.8%187188$28,697.898965$41,992.000000$28,697.898965$28.7k100.000%100%1,594$26,130.983858$38,387.000000$26,130.983858$26.1k10.296%10.3%164$23,947.000000$26,772.000000$23,947.000000$23.9k4.773%4.77%76$23,018.078655$20,277.000000$23,018.078655$23.0k12.699%12.7%202$19,348.395959$18,165.000000$19,348.395959$19.3k6.894%6.89%109110$17,161.411819$25,216.000000$17,161.411819$17.2k11.722%11.7%186187

Map of Occupations by Tract in Columbus

Management Occupations by Tract#6

Percentage of the population aged 16 and older employed with occupation: management (%):
2.5%4.5%6.5%8.4%10.4%12.4%

Business Occupations by Tract#7

Percentage of the population aged 16 and older employed with occupation: business (business and finance) (%):
0.0%0.7%1.5%2.2%2.9%3.7%

Computers & Math Occupations by Tract#8

Percentage of the population aged 16 and older employed with occupation: computers & math (%):
0.00%0.39%0.78%1.17%1.56%1.95%

Engineering Occupations by Tract#9

Percentage of the population aged 16 and older employed with occupation: engineering (engineering and architecture) (%):
0.0%0.5%1.1%1.6%2.1%2.7%

Science Occupations by Tract#10

Percentage of the population aged 16 and older employed with occupation: science (%):
0.00%0.09%0.19%0.28%0.38%0.48%

Social Service Occupations by Tract#11

Percentage of the population aged 16 and older employed with occupation: social service (%):
0.0%0.6%1.2%1.8%2.5%3.1%

Legal Occupations by Tract#12

Percentage of the population aged 16 and older employed with occupation: legal (%):
0.00%0.14%0.28%0.42%0.57%0.71%

Education Occupations by Tract#13

Percentage of the population aged 16 and older employed with occupation: education (education, training, and library) (%):
1.5%2.4%3.1%3.9%4.7%5.5%

Entertainment Occupations by Tract#14

Percentage of the population aged 16 and older employed with occupation: entertainment (arts, design, entertainment, sports, and media) (%):
0.0%0.6%1.1%1.7%2.3%2.9%

Healthcare Occupations by Tract#15

Percentage of the population aged 16 and older employed with occupation: healthcare (health diagnosing and treating practitioners) (%):
0.97%1.47%1.96%2.45%2.94%3.43%

Health Technicians Occupations by Tract#16

Percentage of the population aged 16 and older employed with occupation: health technicians (%):
0.0%1.0%2.0%3.0%4.0%5.0%

Healthcare Support Occupations by Tract#17

Percentage of the population aged 16 and older employed with occupation: healthcare support (%):
2.4%3.3%4.2%5.0%5.8%6.7%

Fire Fighting Occupations by Tract#18

Percentage of the population aged 16 and older employed with occupation: fire fighting (%):
0.00%0.25%0.50%0.74%0.99%1.24%

Law Enforcement Occupations by Tract#19

Percentage of the population aged 16 and older employed with occupation: law enforcement (%):
0.00%0.08%0.17%0.25%0.33%0.42%

Food Service Occupations by Tract#20

Percentage of the population aged 16 and older employed with occupation: food service (%):
5.7%8.2%10.7%13.2%15.7%18.2%

Facilities Occupations by Tract#21

Percentage of the population aged 16 and older employed with occupation: facilities (%):
2.5%3.6%4.8%5.9%7.0%8.1%

Personal Care Occupations by Tract#22

Percentage of the population aged 16 and older employed with occupation: personal care (%):
2.9%4.3%5.6%6.9%8.2%9.6%

Sales and Related Occupations by Tract#23

Percentage of the population aged 16 and older employed with occupation: sales and related (%):
6.6%8.1%9.6%11.0%12.4%13.9%

Administrative Occupations by Tract#24

Percentage of the population aged 16 and older employed with occupation: administrative (%):
9.1%11.1%13.0%15.0%17.0%19.0%

Farming Occupations by Tract#25

Percentage of the population aged 16 and older employed with occupation: farming (farming, fishing, and forestry) (%):
0.00%0.27%0.55%0.82%1.09%1.37%

Construction Occupations by Tract#26

Percentage of the population aged 16 and older employed with occupation: construction (construction and extraction) (%):
0.0%1.0%2.1%3.1%4.1%5.2%

Repair Occupations by Tract#27

Percentage of the population aged 16 and older employed with occupation: repair (installation, maintenance, and repair) (%):
2.38%2.89%3.38%3.88%4.38%4.88%

Production Occupations by Tract#28

Percentage of the population aged 16 and older employed with occupation: production (%):
7.0%8.7%10.4%12.1%13.8%15.6%

Transportation Occupations by Tract#29

Percentage of the population aged 16 and older employed with occupation: transportation (%):
2.4%3.7%4.9%6.2%7.4%8.7%

Material Moving Occupations by Tract#30

Percentage of the population aged 16 and older employed with occupation: material moving (%):
4.3%6.0%7.7%9.4%11.0%12.8%
Road Data ©OpenStreetMap

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Occupations by Neighborhood in Kenosha

There are 26 neighborhoods in Kenosha. This section compares Columbus to all of the neighborhoods in Kenosha and to those entities that contain or substantially overlap with Columbus.

Management Occupations by Neighborhood#31

Percentage of the civilian employed population aged 16 and older.
Scope: population of Columbus, selected other neighborhoods in Kenosha, and entities that contain Columbus
0%5%10%Count#Central Business District NeighborhoodCntrl Business DistRiver Crossing NeighborhoodRiv CrossingWhite Caps NeighborhoodWhite CapsAllendale NeighborhoodAllendaleLance NeighborhoodLanceStocker NeighborhoodStockerChicago, Naperville, and Elgin Metro AreaChicago AreaSouthport NeighborhoodSouthportUnited States of AmericaUnited StatesMidwestWisconsinForest Park NeighborhoodForest ParkEast North CentralIsetts NeighborhoodIsettsKenosha CountyKenoshaKenosha School DistrictKenoshaBain Park NeighborhoodBain ParkGrant NeighborhoodGrantParkside NeighborhoodParksideKenoshaPoerio NeighborhoodPoerioVilla Capri NeighborhoodVilla CapriRoosevelt NeighborhoodRooseveltSunnywside NeighborhoodSunnywsideSt. Joe's NeighborhoodSt. Joe'sWilson NeighborhoodWilsonHarbor Side NeighborhoodHarbor SideCarthage NeighborhoodCarthageAlford Park NeighborhoodAlford ParkRed Arrow NeighborhoodRed ArrowMcKinley NeighborhoodMcKinleyLincoln Park NeighborhoodLincoln ParkColumbus NeighborhoodColumbusUptown NeighborhoodUptown12.240292%12.240292%12.2%126111.813214%11.813214%11.8%122211.809154%11.809154%11.8%280311.533541%11.533541%11.5%126410.735069%10.735069%10.7%172510.614525%10.614525%10.6%158610.576444%10.576444%10.6%487,505488k10.519498%10.519498%10.5%4243710.035605%10.035605%10.0%14,852,82814.9M9.823005%9.823005%9.8%3,193,2973.19M9.621594%9.621594%9.6%280,021280k9.609400%9.609400%9.6%24789.526275%9.526275%9.5%2,096,2572.10M9.188876%9.188876%9.2%12212398.803095%8.803095%8.8%7,1218.071786%8.071786%8.1%4,8717.942235%7.942235%7.9%4344107.354870%7.354870%7.4%116117.035626%7.035626%7.0%149150126.844206%6.844206%6.8%3,1386.574662%6.574662%6.6%77135.851630%5.851630%5.9%76144.983661%4.983661%5.0%84154.781266%4.781266%4.8%135164.720261%4.720261%4.7%5051174.575158%4.575158%4.6%66184.547564%4.547564%4.5%64194.547564%4.547564%4.5%2829204.547564%4.547564%4.5%23213.996759%3.996759%4.0%8081223.616330%3.616330%3.6%7475233.267377%3.267377%3.3%36242.777252%2.777252%2.8%44251.577006%1.577006%1.6%626

Management Income by Neighborhood#56

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of Columbus, selected other neighborhoods in Kenosha, and entities that contain Columbus
$0k$50k%Count#White Caps NeighborhoodWhite CapsRiver Crossing NeighborhoodRiv CrossingIsetts NeighborhoodIsettsLance NeighborhoodLanceSunnywside NeighborhoodSunnywsideChicago, Naperville, and Elgin Metro AreaChicago AreaCentral Business District NeighborhoodCntrl Business DistParkside NeighborhoodParksideAllendale NeighborhoodAllendaleVilla Capri NeighborhoodVilla CapriUptown NeighborhoodUptownKenosha School DistrictKenoshaKenosha CountyKenoshaUnited States of AmericaUnited StatesEast North CentralHarbor Side NeighborhoodHarbor SideCarthage NeighborhoodCarthageAlford Park NeighborhoodAlford ParkSouthport NeighborhoodSouthportKenoshaMidwestColumbus NeighborhoodColumbusWisconsinStocker NeighborhoodStockerMcKinley NeighborhoodMcKinleyGrant NeighborhoodGrantForest Park NeighborhoodForest ParkPoerio NeighborhoodPoerioLincoln Park NeighborhoodLincoln ParkSt. Joe's NeighborhoodSt. Joe'sBain Park NeighborhoodBain ParkRoosevelt NeighborhoodRooseveltWilson NeighborhoodWilsonRed Arrow NeighborhoodRed Arrow$91,346.000000$91,346.000000$91.3k11.809%11.8%2801$91,331.931183$91,331.931183$91.3k11.813%11.8%1222$87,327.848576$87,327.848576$87.3k9.189%9.19%1221233$85,450.895256$85,450.895256$85.5k10.735%10.7%1724$85,321.927646$85,321.927646$85.3k4.781%4.78%1355$83,272.000000$83,272.000000$83.3k10.576%10.6%487,505488k$78,216.506222$78,216.506222$78.2k12.240%12.2%1266$76,587.202935$76,587.202935$76.6k7.036%7.04%1491507$76,408.039600$76,408.039600$76.4k11.534%11.5%1268$75,076.378432$75,076.378432$75.1k5.852%5.85%769$74,500.000000$74,500.000000$74.5k1.577%1.58%610$73,809.000000$73,809.000000$73.8k8.072%8.07%4,871$73,736.000000$73,736.000000$73.7k8.803%8.80%7,121$72,586.000000$72,586.000000$72.6k10.036%10.0%14,852,82814.9M$70,789.000000$70,789.000000$70.8k9.526%9.53%2,096,2572.10M$70,119.000000$70,119.000000$70.1k4.548%4.55%6411$70,119.000000$70,119.000000$70.1k4.548%4.55%282912$70,119.000000$70,119.000000$70.1k4.548%4.55%2313$70,104.880470$70,104.880470$70.1k10.519%10.5%424314$69,116.000000$69,116.000000$69.1k6.844%6.84%3,138$68,390.000000$68,390.000000$68.4k9.823%9.82%3,193,2973.19M$68,198.126466$68,198.126466$68.2k2.777%2.78%4415$65,783.000000$65,783.000000$65.8k9.622%9.62%280,021280k$62,125.000000$62,125.000000$62.1k10.615%10.6%15816$61,435.626370$61,435.626370$61.4k3.616%3.62%747517$59,458.612753$59,458.612753$59.5k7.355%7.35%11618$58,316.576521$58,316.576521$58.3k9.609%9.61%24719$57,924.998889$57,924.998889$57.9k6.575%6.57%7720$57,708.000000$57,708.000000$57.7k3.267%3.27%3621$57,708.000000$57,708.000000$57.7k4.720%4.72%505122$53,918.953908$53,918.953908$53.9k7.942%7.94%434423$48,885.513643$48,885.513643$48.9k4.984%4.98%8424$45,691.751682$45,691.751682$45.7k4.575%4.58%6625$25,794.550490$25,794.550490$25.8k3.997%4.00%808126

Definitions

An occupation describes the kind of work a person does on the job. On this page, all employed persons are categorized into one of the following occupations (bolded terms are used in the charts and maps on this page):

  • Management, business, science, and arts occupations:
    • Management, business, and financial occupations:
      • Management: Management occupations
      • Business: Business and financial operations occupations
    • Computer, engineering, and science occupations:
      • Computers & Math: Computer and mathematical occupations
      • Engineering: Architecture and engineering occupations
      • Science: Life, physical, and social science occupations
    • Education, legal, community service, arts, and media occupations:
      • Social Service: Community and social service occupations
      • Legal: Legal occupations
      • Education: Education, training, and library occupations
      • Entertainment: Arts, design, entertainment, sports, and media occupations
    • Healthcare practitioners and technical occupations:
      • Healthcare: Health diagnosing and treating practitioners and other technical occupations
      • Health Technicians: Health technologists and technicians
  • Service occupations:
    • Healthcare Support: Healthcare support occupations
    • Protective service occupations:
      • Fire Fighting: Fire fighting and prevention, and other protective service workers including supervisors
      • Law Enforcement: Law enforcement workers including supervisors
    • Food Service: Food preparation and serving related occupations
    • Facilities: Building and grounds cleaning and maintenance occupations
    • Personal Care: Personal care and service occupations
  • Sales and office occupations:
    • Sales and Related: Sales and related occupations
    • Administrative: Office and administrative support occupations
  • Natural resources, construction, and maintenance occupations:
    • Farming: Farming, fishing, and forestry occupations
    • Construction: Construction and extraction occupations
    • Repair: Installation, maintenance, and repair occupations
  • Production, transportation, and material moving occupations:
    • Production: Production occupations
    • Transportation: Transportation occupations
    • Material Moving: Material moving occupations

Unlike the other geographical entities detailed on this site, neighborhoods are not recognized by the U.S. Census Bureau. To overcome this we have computed reasonable estimates of the same statistics that are presented for other the entity types. Each statistic is computed as the weighted sum or average of the census tracts or block groups that overlap the neighborhood. A weighted sum is used for counts of people or households, and a weighted average is used for statistics that are themselves some form of average, such as median household income. Census block groups are preferred when the statistic in question is available on the block group level. The weight for a given tract (or block group) is computed as the population of the census tabulation blocks that occupy the intersection between the tract and the neighborhood as a fraction of the total population of the neighborhood.

For additional information about the data presented on this site, including our sources, please see the About Page.

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