Occupations in North Lake Mendota, Madison, Wisconsin (Neighborhood)

Occupations#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Madison and North Lake Mendota
North Lake Mendota
Madison
0%5%10%15%CountManagementAdministrativeSales and RelatedBusiness1Healthcare2ProductionEntertainment3Health TechniciansComputers & MathHealthcare SupportScienceEngineering4Personal CareConstruction5Food ServiceMaterial MovingFire FightingFacilitiesLaw EnforcementSocial ServiceEducation6Farming7TransportationRepair8Legal16.849817%10.142086%16.849817%16.8%5515.018315%12.111463%15.018315%15.0%4912.820513%7.755384%12.820513%12.8%426.837607%5.304479%6.837607%6.8%226.837607%5.141178%6.837607%6.8%225.616606%4.134158%5.616606%5.6%184.761905%3.188549%4.761905%4.8%15163.540904%1.801192%3.540904%3.5%11122.930403%7.137075%2.930403%2.9%9102.808303%2.536743%2.808303%2.8%92.564103%3.745446%2.564103%2.6%82.564103%2.533253%2.564103%2.6%82.564103%2.979190%2.564103%2.6%82.564103%1.609977%2.564103%2.6%82.075702%7.349226%2.075702%2.1%671.831502%1.587645%1.831502%1.8%61.343101%0.710428%1.343101%1.3%41.343101%2.702137%1.343101%1.3%41.221001%0.399877%1.221001%1.2%40.976801%2.078943%0.976801%1.0%30.854701%10.438679%0.854701%0.9%230.732601%0.212849%0.732601%0.7%20.732601%1.596019%0.732601%0.7%20.610501%1.497620%0.610501%0.6%20.000000%0.000000%0.0%1.306405%0

Relative Occupations#2

Percentage more or less common in North Lake Mendota than in Madison, among the civilian employed population aged 16 and older.
Scope: population of Madison and North Lake Mendota
Less Common
More Common
100%0%100%200%%ref.Farming1Law EnforcementHealth TechniciansFire FightingManagementSales and RelatedConstruction2Entertainment3ProductionHealthcare4Business5AdministrativeMaterial MovingHealthcare SupportEngineering6Personal CareScienceFacilitiesSocial ServiceTransportationComputers & MathRepair7Food ServiceEducation8Legal244.187834%244.187834%244.2%0.733%0.73%0.213%0.21%205.344065%205.344065%205.3%1.221%1.22%0.400%0.40%96.586684%96.586684%96.6%3.541%3.54%1.801%1.80%89.055367%89.055367%89.1%1.343%1.34%0.710%0.71%66.137594%66.137594%66.1%16.850%16.8%10.142%10.1%65.311128%65.311128%65.3%12.821%12.8%7.755%7.76%59.263335%59.263335%59.3%2.564%2.56%1.610%1.61%49.343922%49.343922%49.3%4.762%4.76%3.189%3.19%35.858522%35.858522%35.9%5.617%5.62%4.134%4.13%32.996883%32.996883%33.0%6.838%6.84%5.141%5.14%28.902517%28.902517%28.9%6.838%6.84%5.304%5.30%24.000832%24.000832%24.0%15.018%15.0%12.111%12.1%15.359659%15.359659%15.4%1.832%1.83%1.588%1.59%10.705074%10.705074%10.7%2.808%2.81%2.537%2.54%1.217772%1.217772%1.2%2.564%2.56%2.533%2.53%-13.932885%-13.932885%13.9%2.564%2.56%2.979%2.98%-31.540803%-31.540803%31.5%2.564%2.56%3.745%3.75%-50.294844%-50.294844%50.3%1.343%1.34%2.702%2.70%-53.014529%-53.014529%53.0%0.977%0.98%2.079%2.08%-54.098256%-54.098256%54.1%0.733%0.73%1.596%1.60%-58.941121%-58.941121%58.9%2.930%2.93%7.137%7.14%-59.235287%-59.235287%59.2%0.611%0.61%1.498%1.50%-71.756181%-71.756181%71.8%2.076%2.08%7.349%7.35%-91.812174%-91.812174%91.8%0.855%0.85%10.439%10.4%-100.000000%-100.000000%100.0%0.000%0%1.306%1.31%

Sex Ratio by Occupation#3

Sex ratio by occupation among the civilian employed population aged 16 and older.
Scope: population of Madison and North Lake Mendota
Female Male
Madison
North Lake Mendota
2x1x0x1x2xFMComputers & MathManagementEntertainment1Fire FightingAll OccupationsScienceFacilitiesSales and RelatedBusiness2AdministrativeHealthcare Support-1.000000x-1.000000x-1.000000x2.000000x2.993362x2.000000x2.00x36-1.000000x-1.000000x-1.000000x1.603774x1.359253x1.603774x1.60x2134-1.000000x-1.000000x-1.000000x1.437500x1.087254x1.437500x1.44x69-1.000000x-1.000000x-1.000000x1.200000x1.827778x1.200000x1.20x22-1.000000x-1.000000x-1.000000x1.110825x1.041283x1.110825x1.11x155156172173-1.100000x-1.000000x-1.100000x1.10x1.000000x1.182595x1.000000x44-1.200000x-1.000000x-1.200000x1.20x1.000000x1.779612x1.000000x22-1.234043x-1.000000x-1.234043x1.23x1.000000x1.096397x1.000000x231819-1.333333x-1.134513x-1.333333x1.33x1.000000x1.000000x1.000000x1213910-1.460000x-1.941027x-1.460000x1.46x1.000000x1.000000x1.000000x2920-2.833333x-4.490937x-2.833333x2.83x1.000000x1.000000x1.000000x672

Part Timers by Occupation#4

Part time and seasonal workers as a percentage of total workforce within an occupation.
Scope: population of Madison and North Lake Mendota
North Lake Mendota
Madison
0%50%100%PartFullEducation1Food ServiceFacilitiesRepair2Healthcare3Engineering4Personal CareHealth TechniciansHealthcare SupportFire FightingAdministrativeSales and RelatedAll OccupationsScienceComputers & MathEntertainment5Business6ManagementProductionSocial ServiceLaw EnforcementFarming7Construction8TransportationMaterial Moving100.000000%48.001070%100.000000%100.0%230100.000000%70.192764%100.000000%100.0%670100.000000%58.316116%100.000000%100.0%40100.000000%16.821994%100.000000%100.0%2080.357143%38.333107%80.357143%80.4%18452.380952%25.289256%52.380952%52.4%4452.380952%69.219958%52.380952%52.4%4448.275862%40.255715%48.275862%48.3%56647.826087%47.537827%47.826087%47.8%44545.454545%53.634578%45.454545%45.5%2242.276423%43.197926%42.276423%42.3%20212840.952381%44.002520%40.952381%41.0%17242532.356532%39.274499%32.356532%32.4%10622223.809524%37.376560%23.809524%23.8%2620.833333%21.814804%20.833333%20.8%27820.512821%46.268330%20.512821%20.5%3128.928571%21.852388%8.928571%8.9%2205.797101%16.961398%5.797101%5.8%3524.347826%27.329507%4.347826%4.3%0117180.000000%0.000000%0.0%34.709634%030.000000%0.000000%0.0%5.933682%040.000000%0.000000%0.0%32.459016%020.000000%0.000000%0.0%32.509753%080.000000%0.000000%0.0%53.738522%020.000000%0.000000%0.0%46.417582%06

Median Income by Occupation#5

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Madison and North Lake Mendota
North Lake Mendota
Madison
$0k$50k$100k%CountEntertainment1ManagementAll OccupationsConstruction2Business3AdministrativeComputers & MathProductionSales and Related$102,721.000000$50,110.000000$102,721.000000$102.7k4.762%4.76%1516$86,136.000000$68,816.000000$86,136.000000$86.1k16.850%16.8%55$56,625.000000$47,764.000000$56,625.000000$56.6k100.000%100%328329$55,536.000000$45,175.000000$55,536.000000$55.5k2.564%2.56%8$51,563.000000$52,060.000000$51,563.000000$51.6k6.838%6.84%22$45,313.000000$35,167.000000$45,313.000000$45.3k15.018%15.0%49$43,438.000000$73,010.000000$43,438.000000$43.4k2.930%2.93%910$40,781.000000$31,887.000000$40,781.000000$40.8k5.617%5.62%18$36,786.000000$45,581.000000$36,786.000000$36.8k12.821%12.8%42

Occupations by Neighborhood in Madison

There are 119 neighborhoods in Madison. This section compares North Lake Mendota to all of the neighborhoods in Madison and to those entities that contain or substantially overlap with North Lake Mendota.

Management Occupations by Neighborhood#6

Percentage of the civilian employed population aged 16 and older.
Scope: population of North Lake Mendota, selected other neighborhoods in Madison, and entities that contain North Lake Mendota
0%5%10%15%Count#Oakwood Village NeighborhoodOakwood VlgMcClellan Park NeighborhoodMcClellan PkReston Heights NeighborhoodReston HtsRichmond Hill NeighborhoodRichmond HillStonefield Woods-Ridge NeighborhoodStonefield Wds-RdgWoodlands Condominum NeighborhoodWdlnds Condomin…Woodland Hills NeighborhoodWdlnd HlsHighlands Community NeighborhoodHighlands CommWexford Crossing Condominum NeighborhoodWexford Crossing …Skyview Terrace NeighborhoodSkyview TerWexford Village NeighborhoodWexford VlgSkyview Meadows NeighborhoodSkyview MdwsWesthaven Trails NeighborhoodWesthaven Trls002302Tract 002302North Lake Mendota NeighborhoodN Lk MendotaStone Meadows NeighborhoodStone MeadowsAppalachian Ridge NeighborhoodAppalachian RdgCherokee Park NeighborhoodCherokee ParkHawk's Landing NeighborhoodHawk's LndgNakoma League NeighborhoodNakoma LeagueSummit Woods NeighborhoodSummit WoodsGlen Oak Hills NeighborhoodGln Oak HlsWisconsin Co-op Housing NeighborhoodWisconsin Co-op …Spring Harbor NeighborhoodSpring HarborFaircrest NeighborhoodFaircrestWestmorland NeighborhoodWestmorlandMarbella Condominum NeighborhoodMarbella Condomi…Parkwood Village NeighborhoodParkwood VlgWyndemere Condominum NeighborhoodWyndemere Cond…Parkwood Hills NeighborhoodParkwood HlsParkwood West Condominum NeighborhoodParkwood W Cond…Marquette NeighborhoodMarquetteGlacier Ridge NeighborhoodGlacier RidgeMidvale Heights Community NeighborhoodMidvale Hts CommDane CountyDaneMadison Metro AreaMadison AreaSchenk-Atwood NeighborhoodSchenk-AtwoodHigh Point Estates NeighborhoodHigh Pt EstsMadisonWexford Ridge NeighborhoodWexford RidgeUnited States of AmericaUnited StatesHeritage Heights Community NeighborhoodHeritage Hts CommMidwestZIP Code 53704ZIP 53704WisconsinEast North CentralBurke Heights NeighborhoodBurke HeightsCapitol NeighborhoodCapitolBluff Acres NeighborhoodBluff AcresRegent NeighborhoodRegentSherman Village NeighborhoodSherman VlgEast Bluff NeighborhoodEast BluffMoorland-Rimrock NeighborhoodMoorland-RimrockSouth Campus NeighborhoodSouth CampusUniversity Apartments NeighborhoodUniv ApartmentsBram's Addition NeighborhoodBram's AddnBurr Oaks NeighborhoodBurr OaksCapitol View Heights NeighborhoodCapitol Vw Hts18.150685%18.150685%18.2%40117.905182%17.905182%17.9%247248217.905182%17.905182%17.9%214215317.905182%17.905182%17.9%3637417.800454%17.800454%17.8%29717.800454%17.800454%17.8%4917.800454%17.800454%17.8%68517.800454%17.800454%17.8%3334617.800454%17.800454%17.8%4817.800454%17.800454%17.8%231017.637238%17.637238%17.6%2461117.094998%17.094998%17.1%42431317.094998%17.094998%17.1%2462471216.849817%16.849817%16.8%13816.849817%16.849817%16.8%551416.291115%16.291115%16.3%3231516.105598%16.105598%16.1%46471615.626235%15.626235%15.6%50511715.380313%15.380313%15.4%1281814.745011%14.745011%14.7%1531541914.745011%14.745011%14.7%602014.035088%14.035088%14.0%722114.035088%14.035088%14.0%40412213.759690%13.759690%13.8%1871882313.623590%13.623590%13.6%87882413.376137%13.376137%13.4%1531542513.337054%13.337054%13.3%342613.337054%13.337054%13.3%232713.337054%13.337054%13.3%232913.337054%13.337054%13.3%1051062813.337054%13.337054%13.3%013012.751822%12.751822%12.8%4273112.593497%12.593497%12.6%873411.581923%11.581923%11.6%2114211.257793%11.257793%11.3%32,90032.9k11.174659%11.174659%11.2%39,58539.6k11.013818%11.013818%11.0%3174510.555680%10.555680%10.6%44455110.142086%10.142086%10.1%14,53314.5k10.103534%10.103534%10.1%385910.035605%10.035605%10.0%14,852,82814.9M10.026485%10.026485%10.0%121679.823005%9.823005%9.8%3,193,2973.19M9.728463%9.728463%9.7%2,5339.621594%9.621594%9.6%280,021280k9.526275%9.526275%9.5%2,096,2572.10M9.201336%9.201336%9.2%32768.971644%8.971644%9.0%1,3541,355788.328706%8.328706%8.3%183184848.205094%8.205094%8.2%317877.648635%7.648635%7.6%125126926.340956%6.340956%6.3%101014.171586%4.171586%4.2%70711093.286102%3.286102%3.3%83841142.583799%2.583799%2.6%361152.307275%2.307275%2.3%251162.307275%2.307275%2.3%341172.307275%2.307275%2.3%45118

Management Income by Neighborhood#31

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of North Lake Mendota, selected other neighborhoods in Madison, and entities that contain North Lake Mendota
$0k$50k$100k%Count#Woodland Hills NeighborhoodWdlnd HlsHighlands Community NeighborhoodHighlands CommStonefield Woods-Ridge NeighborhoodStonefield Wds-RdgWexford Crossing Condominum NeighborhoodWexford Crossing …Woodlands Condominum NeighborhoodWdlnds Condomin…Skyview Terrace NeighborhoodSkyview TerWexford Village NeighborhoodWexford VlgAppalachian Ridge NeighborhoodAppalachian RdgRegent NeighborhoodRegentRidgewood NeighborhoodRidgewoodBurke Heights NeighborhoodBurke HeightsWyndemere Condominum NeighborhoodWyndemere Cond…Parkwood Hills NeighborhoodParkwood HlsMarbella Condominum NeighborhoodMarbella Condomi…Parkwood Village NeighborhoodParkwood VlgParkwood West Condominum NeighborhoodParkwood W Cond…Radio Park NeighborhoodRadio ParkVanChaMasShe NeighborhoodVanChaMasSheSunset Village NeighborhoodSunset VlgDudgeon-Monroe NeighborhoodDudgeon-MonroeOrchard Ridge Community NeighborhoodOrch Rdg CommBlackhawk NeighborhoodBlackhawkJunction Ridge NeighborhoodJct RdgGreystone NeighborhoodGreystoneGlacier Ridge NeighborhoodGlacier RidgeCountry Grove NeighborhoodCountry GroveCherokee Park NeighborhoodCherokee Park002302Tract 002302North Lake Mendota NeighborhoodN Lk MendotaNakoma League NeighborhoodNakoma LeagueSummit Woods NeighborhoodSummit WoodsFaircrest NeighborhoodFaircrestWexford Village Condominium NeighborhoodWexford Vlg Cond…Dane CountyDaneHigh Crossing NeighborhoodHigh CrossingUnited States of AmericaUnited StatesEast North CentralMadison Metro AreaMadison AreaStone Meadows NeighborhoodStone MeadowsMadisonMidwestWisconsinWorthington Park NeighborhoodWorthington PkZIP Code 53704ZIP 53704Schenk-Atwood NeighborhoodSchenk-AtwoodLerdahl Park NeighborhoodLerdahl ParkNorman Acres NeighborhoodNorman AcresMarquette NeighborhoodMarquetteGreentree NeighborhoodGreentreeCapitol NeighborhoodCapitolWaunona NeighborhoodWaunonaNobel Park NeighborhoodNobel ParkOakwood Village NeighborhoodOakwood VlgSouth Campus NeighborhoodSouth CampusBurr Oaks NeighborhoodBurr OaksBram's Addition NeighborhoodBram's AddnCapitol View Heights NeighborhoodCapitol Vw Hts$107,629.000000$107,629.000000$107.6k17.800%17.8%681$107,629.000000$107,629.000000$107.6k17.800%17.8%33342$107,629.000000$107,629.000000$107.6k17.800%17.8%293$107,629.000000$107,629.000000$107.6k17.800%17.8%44$107,629.000000$107,629.000000$107.6k17.800%17.8%45$107,629.000000$107,629.000000$107.6k17.800%17.8%236$106,952.485235$106,952.485235$107.0k17.637%17.6%2467$104,134.221510$104,134.221510$104.1k16.106%16.1%46478$103,475.590987$103,475.590987$103.5k8.205%8.21%3179$100,406.000000$100,406.000000$100.4k9.201%9.20%22510$100,406.000000$100,406.000000$100.4k9.201%9.20%3211$100,268.000000$100,268.000000$100.3k13.337%13.3%2312$100,268.000000$100,268.000000$100.3k13.337%13.3%10510613$100,268.000000$100,268.000000$100.3k13.337%13.3%3414$100,268.000000$100,268.000000$100.3k13.337%13.3%2315$100,268.000000$100,268.000000$100.3k13.337%13.3%0116$97,538.000000$97,538.000000$97.5k10.935%10.9%131417$97,538.000000$97,538.000000$97.5k10.935%10.9%6718$95,626.333344$95,626.333344$95.6k10.706%10.7%11819$93,592.572085$93,592.572085$93.6k11.139%11.1%22022120$92,529.475203$92,529.475203$92.5k9.747%9.75%11912021$89,766.000000$89,766.000000$89.8k12.327%12.3%15722$89,766.000000$89,766.000000$89.8k12.327%12.3%11611723$89,766.000000$89,766.000000$89.8k12.327%12.3%181924$89,559.000000$89,559.000000$89.6k12.593%12.6%8725$89,559.000000$89,559.000000$89.6k12.593%12.6%636426$89,236.000000$89,236.000000$89.2k15.626%15.6%505127$86,136.000000$86,136.000000$86.1k16.850%16.8%138$86,136.000000$86,136.000000$86.1k16.850%16.8%5528$85,938.000000$85,938.000000$85.9k14.745%14.7%15315429$85,938.000000$85,938.000000$85.9k14.745%14.7%6030$82,681.749062$82,681.749062$82.7k13.624%13.6%878834$79,875.000000$79,875.000000$79.9k10.104%10.1%232442$74,385.000000$74,385.000000$74.4k11.258%11.3%32,90032.9k$73,603.000000$73,603.000000$73.6k11.986%12.0%686950$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$70,743.000000$70,743.000000$70.7k11.175%11.2%39,58539.6k$69,087.730256$69,087.730256$69.1k16.291%16.3%32359$68,816.000000$68,816.000000$68.8k10.142%10.1%14,53314.5k$68,390.000000$68,390.000000$68.4k9.823%9.82%3,193,2973.19M$65,783.000000$65,783.000000$65.8k9.622%9.62%280,021280k$62,734.000000$62,734.000000$62.7k10.152%10.2%777867$60,583.000000$60,583.000000$60.6k9.728%9.73%2,533$59,681.681248$59,681.681248$59.7k11.014%11.0%31774$59,235.485812$59,235.485812$59.2k8.394%8.39%3575$54,821.000000$54,821.000000$54.8k8.329%8.33%8983$51,761.000000$51,761.000000$51.8k12.752%12.8%42789$51,058.000000$51,058.000000$51.1k8.610%8.61%747592$50,596.843646$50,596.843646$50.6k8.972%8.97%1,3541,35594$43,000.000000$43,000.000000$43.0k10.461%10.5%110111100$37,026.000000$37,026.000000$37.0k3.787%3.79%56108$31,607.000000$31,607.000000$31.6k18.151%18.2%40113$25,938.000000$25,938.000000$25.9k3.286%3.29%8384114$22,308.000000$22,308.000000$22.3k2.307%2.31%34115$22,308.000000$22,308.000000$22.3k2.307%2.31%25116$22,308.000000$22,308.000000$22.3k2.307%2.31%45117

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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