Occupations in Grant, Kenosha, Wisconsin (Neighborhood)

Occupations#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Kenosha and Grant
Grant
Kenosha
0%5%10%CountAdministrativeBusiness1Repair2ProductionManagementSales and RelatedMaterial MovingEducation3Food ServiceConstruction4Healthcare5FacilitiesComputers & MathHealthcare SupportEntertainment6Health TechniciansPersonal CareLaw EnforcementTransportationEngineering7LegalFire FightingSocial ServiceScienceFarming814.529899%14.728784%14.529899%14.5%2292308.644404%3.936836%8.644404%8.6%1361378.008503%3.537700%8.008503%8.0%1261277.982863%8.235730%7.982863%8.0%1267.354870%6.844206%7.354870%7.4%1166.894659%9.129970%6.894659%6.9%1081095.798428%5.014286%5.798428%5.8%91924.468716%6.394905%4.468716%4.5%70714.317350%7.162643%4.317350%4.3%684.163747%3.795066%4.163747%4.2%65664.122050%3.511527%4.122050%4.1%653.500208%3.862680%3.500208%3.5%553.187689%2.462431%3.187689%3.2%503.039398%3.376300%3.039398%3.0%482.599515%1.727410%2.599515%2.6%412.366155%2.233418%2.366155%2.4%372.337799%3.677288%2.337799%2.3%36371.704614%0.948767%1.704614%1.7%26271.212732%3.585683%1.212732%1.2%191.158496%1.520208%1.158496%1.2%181.062563%0.458025%1.062563%1.1%16170.812548%0.931318%0.812548%0.8%12130.732791%1.703418%0.732791%0.7%11120.000000%0.000000%0.0%0.774281%00.000000%0.000000%0.0%0.447120%0

Relative Occupations#2

Percentage more or less common in Grant than in Kenosha, among the civilian employed population aged 16 and older.
Scope: population of Kenosha and Grant
Less Common
More Common
100%0%100%%ref.LegalRepair1Business2Law EnforcementEntertainment3Computers & MathHealthcare4Material MovingConstruction5ManagementHealth TechniciansAdministrativeProductionFacilitiesHealthcare SupportFire FightingEngineering6Sales and RelatedEducation7Personal CareFood ServiceSocial ServiceTransportationScienceFarming8131.987880%131.987880%132.0%1.063%1.06%0.458%0.46%126.375994%126.375994%126.4%8.009%8.01%3.538%3.54%119.577444%119.577444%119.6%8.644%8.64%3.937%3.94%79.666318%79.666318%79.7%1.705%1.70%0.949%0.95%50.486343%50.486343%50.5%2.600%2.60%1.727%1.73%29.452936%29.452936%29.5%3.188%3.19%2.462%2.46%17.386262%17.386262%17.4%4.122%4.12%3.512%3.51%15.638149%15.638149%15.6%5.798%5.80%5.014%5.01%9.714736%9.714736%9.7%4.164%4.16%3.795%3.80%7.461265%7.461265%7.5%7.355%7.35%6.844%6.84%5.943221%5.943221%5.9%2.366%2.37%2.233%2.23%-1.350314%-1.350314%1.4%14.530%14.5%14.729%14.7%-3.070372%-3.070372%3.1%7.983%7.98%8.236%8.24%-9.383948%-9.383948%9.4%3.500%3.50%3.863%3.86%-9.978440%-9.978440%10.0%3.039%3.04%3.376%3.38%-12.752870%-12.752870%12.8%0.813%0.81%0.931%0.93%-23.793564%-23.793564%23.8%1.158%1.16%1.520%1.52%-24.483222%-24.483222%24.5%6.895%6.89%9.130%9.13%-30.120680%-30.120680%30.1%4.469%4.47%6.395%6.39%-36.426010%-36.426010%36.4%2.338%2.34%3.677%3.68%-39.724059%-39.724059%39.7%4.317%4.32%7.163%7.16%-56.981113%-56.981113%57.0%0.733%0.73%1.703%1.70%-66.178492%-66.178492%66.2%1.213%1.21%3.586%3.59%-100.000000%-100.000000%100.0%0.000%0%0.774%0.77%-100.000000%-100.000000%100.0%0.000%0%0.447%0.45%

Sex Ratio by Occupation#3

Sex ratio by occupation among the civilian employed population aged 16 and older.
Scope: population of Kenosha and Grant
Female Male
Kenosha
Grant
2x1x0x1x2xFMFood ServiceEngineering1Law EnforcementAll OccupationsComputers & MathSales and RelatedHealthcare2Business3ManagementSocial ServiceEducation4-1.000000x-1.204027x-1.000000x1.758357x1.000000x1.758357x1.76x242543-1.000000x-1.000000x-1.000000x1.316855x5.453704x1.316855x1.32x7810-1.000000x-1.000000x-1.000000x1.097862x7.700000x1.097862x1.10x121314-1.000000x-1.000000x-1.000000x1.025397x1.014986x1.025397x1.03x780799800-1.318182x-1.000000x-1.318182x1.32x1.000000x1.917313x1.000000x28292122-1.862268x-1.182482x-1.862268x1.86x1.000000x1.000000x1.000000x707138-2.004133x-5.544715x-2.004133x2.00x1.000000x1.000000x1.000000x432122-2.121518x-1.000000x-2.121518x2.12x1.000000x1.086705x1.000000x92934344-2.790991x-1.000000x-2.790991x2.79x1.000000x1.174636x1.000000x85863031-2.907988x-2.174797x-2.907988x2.91x1.000000x1.000000x1.000000x8923-2.913605x-2.066946x-2.913605x2.91x1.000000x1.000000x1.000000x525318

Part Timers by Occupation#4

Part time and seasonal workers as a percentage of total workforce within an occupation.
Scope: population of Kenosha and Grant
Grant
Kenosha
0%50%100%PartFullLegalTransportationFacilitiesEducation1Health TechniciansMaterial MovingHealthcare SupportPersonal CareHealthcare2Sales and RelatedFire FightingAll OccupationsAdministrativeEngineering3Construction4Food ServiceComputers & MathManagementProductionBusiness5Social ServiceRepair6Entertainment7Law Enforcement100.000000%16.190476%100.000000%100.0%1617087.607420%26.399027%87.607420%87.6%1617273.214286%42.348955%73.214286%73.2%40141567.134684%41.575716%67.134684%67.1%472360.756168%47.265625%60.756168%60.8%2223141556.786560%31.361462%56.786560%56.8%52394050.462543%45.865633%50.462543%50.5%24232448.721281%55.338078%48.721281%48.7%1718181943.973448%24.223602%43.973448%44.0%28293642.194955%41.591018%42.194955%42.2%4546626338.461538%26.463700%38.461538%38.5%457830.375331%33.309342%30.375331%30.4%4794801,10028.778445%29.646083%28.778445%28.8%6616316423.253044%27.259684%23.253044%23.3%41422.082627%52.126437%22.082627%22.1%14155122.024994%66.169306%22.024994%22.0%155313.725490%10.186005%13.725490%13.7%674312.747412%12.205226%12.747412%12.7%141510112.527578%22.590042%12.527578%12.5%151611011.568864%13.296399%11.568864%11.6%15161201218.513206%19.206146%8.513206%8.5%0110115.463268%16.584464%5.463268%5.5%671191201.418083%37.752525%1.418083%1.4%01400.998104%8.045977%0.998104%1.0%02627

Median Income by Occupation#5

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Kenosha and Grant
Grant
Kenosha
$0k$20k$40k$60k%CountConstruction1Healthcare2ManagementComputers & MathLaw EnforcementBusiness3TransportationAll OccupationsProductionAdministrativeRepair4Entertainment5Food ServiceSales and Related$67,500.000000$60,868.000000$67,500.000000$67.5k4.164%4.16%6566$67,398.573534$70,546.000000$67,398.573534$67.4k4.122%4.12%65$59,458.612753$69,116.000000$59,458.612753$59.5k7.355%7.35%116$57,500.000000$70,779.000000$57,500.000000$57.5k3.188%3.19%50$51,635.000000$55,673.000000$51,635.000000$51.6k1.705%1.70%2627$47,261.698149$51,832.000000$47,261.698149$47.3k8.644%8.64%136137$46,488.000000$42,030.000000$46,488.000000$46.5k1.213%1.21%19$41,923.441765$41,992.000000$41,923.441765$41.9k100.000%100%1,580$41,058.892172$38,387.000000$41,058.892172$41.1k7.983%7.98%126$40,690.564182$35,905.000000$40,690.564182$40.7k14.530%14.5%229230$39,727.022240$48,175.000000$39,727.022240$39.7k8.009%8.01%126127$19,471.000000$42,107.000000$19,471.000000$19.5k2.600%2.60%41$17,949.093413$20,277.000000$17,949.093413$17.9k4.317%4.32%68$13,623.075745$40,334.000000$13,623.075745$13.6k6.895%6.89%108109

Occupations by Neighborhood in Kenosha

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

Management Occupations by Neighborhood#6

Percentage of the civilian employed population aged 16 and older.
Scope: population of Grant, selected other neighborhoods in Kenosha, and entities that contain Grant
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 CapriZIP Code 53140ZIP 53140Roosevelt 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%76145.736458%5.736458%5.7%7544.983661%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#31

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of Grant, selected other neighborhoods in Kenosha, and entities that contain Grant
$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 NeighborhoodMcKinleyZIP Code 53140ZIP 53140Grant 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$60,921.000000$60,921.000000$60.9k5.736%5.74%754$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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