Occupations in Webster Park North, Lakeland, Florida (Neighborhood)

Occupations#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Lakeland and Webster Park North
Webster Park North
Lakeland
0%5%10%15%20%CountAdministrativeSales and RelatedMaterial MovingFacilitiesFood ServiceTransportationProductionHealthcare SupportEducation1Fire FightingPersonal CareHealth TechniciansEngineering2ManagementConstruction3Social ServiceHealthcare4Business5Computers & MathScienceLegalEntertainment6Law EnforcementFarming7Repair822.412826%14.877613%22.412826%22.4%18218316.162727%13.162473%16.162727%16.2%1311329.473818%4.398108%9.473818%9.5%778.549192%4.349104%8.549192%8.5%69707.877821%5.596256%7.877821%7.9%646.430858%4.302551%6.430858%6.4%526.252839%4.444662%6.252839%6.3%50515.768463%3.175459%5.768463%5.8%474.002053%7.056575%4.002053%4.0%32333.519047%1.261853%3.519047%3.5%28292.139028%2.197829%2.139028%2.1%171.471768%1.808247%1.471768%1.5%11121.449019%1.264303%1.449019%1.4%11121.391735%8.602651%1.391735%1.4%111.391050%4.986156%1.391050%1.4%110.759695%1.962610%0.759695%0.8%60.592024%3.775758%0.592024%0.6%450.207688%4.523069%0.207688%0.2%120.148349%2.026315%0.148349%0.1%10.000000%0.000000%0.0%0.512092%00.000000%0.000000%0.0%0.864920%00.000000%0.000000%0.0%1.891554%00.000000%0.000000%0.0%0.641952%00.000000%0.000000%0.0%0.389582%00.000000%0.000000%0.0%1.928307%0

Relative Occupations#2

Percentage more or less common in Webster Park North than in Lakeland, among the civilian employed population aged 16 and older.
Scope: population of Lakeland and Webster Park North
Less Common
More Common
100%0%100%%ref.Fire FightingMaterial MovingFacilitiesHealthcare SupportAdministrativeTransportationFood ServiceProductionSales and RelatedEngineering1Personal CareHealth TechniciansEducation2Social ServiceConstruction3ManagementHealthcare4Computers & MathBusiness5ScienceLegalEntertainment6Law EnforcementFarming7Repair8178.879315%178.879315%178.9%3.519%3.52%1.262%1.26%115.406659%115.406659%115.4%9.474%9.47%4.398%4.40%96.573629%96.573629%96.6%8.549%8.55%4.349%4.35%81.657610%81.657610%81.7%5.768%5.77%3.175%3.18%50.647999%50.647999%50.6%22.413%22.4%14.878%14.9%49.466167%49.466167%49.5%6.431%6.43%4.303%4.30%40.769490%40.769490%40.8%7.878%7.88%5.596%5.60%40.681991%40.681991%40.7%6.253%6.25%4.445%4.44%22.794002%22.794002%22.8%16.163%16.2%13.162%13.2%14.610115%14.610115%14.6%1.449%1.45%1.264%1.26%-2.675405%-2.675405%2.7%2.139%2.14%2.198%2.20%-18.608031%-18.608031%18.6%1.472%1.47%1.808%1.81%-43.286185%-43.286185%43.3%4.002%4.00%7.057%7.06%-61.291584%-61.291584%61.3%0.760%0.76%1.963%1.96%-72.101755%-72.101755%72.1%1.391%1.39%4.986%4.99%-83.822018%-83.822018%83.8%1.392%1.39%8.603%8.60%-84.320400%-84.320400%84.3%0.592%0.59%3.776%3.78%-92.678902%-92.678902%92.7%0.148%0.15%2.026%2.03%-95.408252%-95.408252%95.4%0.208%0.21%4.523%4.52%-100.000000%-100.000000%100.0%0.000%0%0.512%0.51%-100.000000%-100.000000%100.0%0.000%0%0.865%0.86%-100.000000%-100.000000%100.0%0.000%0%1.892%1.89%-100.000000%-100.000000%100.0%0.000%0%0.642%0.64%-100.000000%-100.000000%100.0%0.000%0%0.390%0.39%-100.000000%-100.000000%100.0%0.000%0%1.928%1.93%

Sex Ratio by Occupation#3

Sex ratio by occupation among the civilian employed population aged 16 and older.
Scope: population of Lakeland and Webster Park North
Female Male
Lakeland
Webster Park North
2x1x0x1x2xFMFood ServiceManagementSales and RelatedPersonal CareAll OccupationsProductionFacilities-1.000000x-1.000000x-1.000000x2.803143x1.083942x2.803143x2.80x161747-1.000000x-1.000000x-1.000000x2.350545x1.157959x2.350545x2.35x378-1.000000x-1.146225x-1.000000x1.749301x1.000000x1.749301x1.75x47488384-1.214286x-3.133641x-1.214286x1.21x1.000000x1.000000x1.000000x91078-1.307886x-1.000000x-1.307886x1.31x1.000000x1.061783x1.000000x461462353-1.987820x-1.000000x-1.987820x1.99x1.000000x2.182456x1.000000x333417-1.998558x-1.000000x-1.998558x2.00x1.000000x1.804107x1.000000x4623

Part Timers by Occupation#4

Part time and seasonal workers as a percentage of total workforce within an occupation.
Scope: population of Lakeland and Webster Park North
Webster Park North
Lakeland
0%50%100%PartFullEngineering1Fire FightingTransportationAdministrativeManagementSales and RelatedEducation2FacilitiesAll OccupationsMaterial MovingProductionHealthcare SupportFood ServiceSocial ServiceBusiness3Computers & MathHealthcare4Health TechniciansPersonal CareConstruction5100.000000%18.023256%100.000000%100.0%1112092.156863%35.728155%92.156863%92.2%26276.995695%32.630979%76.995695%77.0%401261.772646%31.851120%61.772646%61.8%112113697059.494858%15.152378%59.494858%59.5%674550.533536%35.629188%50.533536%50.5%66676548.275862%27.916667%48.275862%48.3%1516161746.473026%37.859155%46.473026%46.5%323746.032448%28.917257%46.032448%46.0%37543944034.450062%30.139276%34.450062%34.5%2627505122.390252%19.680265%22.390252%22.4%11394022.057373%38.271605%22.057373%22.1%10363720.162826%49.649737%20.162826%20.2%12135115.621898%19.350811%15.621898%15.6%0150.000000%0.000000%0.0%11.700975%0120.000000%0.000000%0.0%12.575574%010.000000%0.000000%0.0%26.086957%0450.000000%0.000000%0.0%20.325203%011120.000000%0.000000%0.0%44.035674%0170.000000%0.000000%0.0%29.582310%011

Median Income by Occupation#5

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Lakeland and Webster Park North
Webster Park North
Lakeland
$0k$10k$20k$30k$40k%CountEducation1AdministrativeHealth TechniciansMaterial MovingAll OccupationsHealthcare SupportFood ServiceSales and RelatedProduction$40,526.000000$40,548.000000$40,526.000000$40.5k4.002%4.00%3233$34,833.941085$32,349.000000$34,833.941085$34.8k22.413%22.4%182183$31,696.000000$36,403.000000$31,696.000000$31.7k1.472%1.47%1112$28,750.000000$30,097.000000$28,750.000000$28.8k9.474%9.47%77$21,886.636713$37,160.000000$21,886.636713$21.9k100.000%100%815$20,962.000000$22,093.000000$20,962.000000$21.0k5.768%5.77%47$20,788.000000$21,992.000000$20,788.000000$20.8k7.878%7.88%64$11,630.000000$36,759.000000$11,630.000000$11.6k16.163%16.2%131132$10,163.000000$30,509.000000$10,163.000000$10.2k6.253%6.25%5051

Occupations by Neighborhood in Lakeland

There are 48 neighborhoods in Lakeland. This section compares Webster Park North to all of the neighborhoods in Lakeland and to those entities that contain or substantially overlap with Webster Park North.

Management Occupations by Neighborhood#6

Percentage of the civilian employed population aged 16 and older.
Scope: population of Webster Park North, selected other neighborhoods in Lakeland, and entities that contain Webster Park North
0%5%10%Count#Cleveland Heights NeighborhoodCleveland HtsEdgewood NeighborhoodEdgewoodLake Watkins NeighborhoodLake WatkinsCentral Avenue NeighborhoodCntrl AveWestgate NeighborhoodWestgateLake Hollingsworth NeighborhoodLk HollingsworthSouth AtlanticSouth Lake Morton NeighborhoodS Lk MortonUnited States of AmericaUnited StatesFloridaSouthDowntown NeighborhoodDowntownRaintree NeighborhoodRaintreeCleveland Heights Golf Course NeighborhoodCleveland Hts Golf …Lake Somerset NeighborhoodLake SomersetImperial NeighborhoodImperialLakelandLakeland and Winter Haven Metro AreaLakeland AreaPolk CountyPolkPolk County School DistrictPolk CountyParker Street NeighborhoodParker StreetZIP Code 33805ZIP 33805Southwest NeighborhoodSouthwestTigertown NeighborhoodTigertownSwannanoa NeighborhoodSwannanoaN Martha NeighborhoodN MarthaLake Parker Park NeighborhoodLk Parker PkShore Acres NeighborhoodShore AcresEdgewater Beach NeighborhoodEdgewater BchLake Bonny Park NeighborhoodLk Bonny PkLake Bonny NeighborhoodLake BonnyLime Street NeighborhoodLime StreetLake Beulah NeighborhoodLake BeulahLake Hunter Terrace NeighborhoodLk Hunter TerDixieland NeighborhoodDixielandNorth Lake Wire NeighborhoodN Lk WireCrystal Lake NeighborhoodCrystal LakeBeacon Hill NeighborhoodBeacon HillCamphor NeighborhoodCamphorKathleen NeighborhoodKathleenLake Bonnet NeighborhoodLake BonnetEast Lake Morton NeighborhoodE Lk MortonJewel Avenue NeighborhoodJewel AvenueLakeshore NeighborhoodLakeshoreWatson NeighborhoodWatsonJohn Cox NeighborhoodJohn CoxFlorida Southern College NeighborhoodFlorida S CollegeLake Horney NeighborhoodLake HorneyJefferson Ave NeighborhoodJefferson AveFrancis Blvd NeighborhoodFrancis BlvdWebster Park North NeighborhoodWebster Pk NPinehurst NeighborhoodPinehurstHarmony Hills NeighborhoodHarmony HillsOrangewood NeighborhoodOrangewoodValencia Heights NeighborhoodValencia HtsPaul A. Diggs NeighborhoodPaul A. DiggsWebster Park South NeighborhoodWebster Pk S11.587744%11.587744%11.6%8889111.554888%11.554888%11.6%5556211.553846%11.553846%11.6%116311.306533%11.306533%11.3%40411.306533%11.306533%11.3%4243511.235614%11.235614%11.2%160161610.390478%10.390478%10.4%2,952,3322.95M10.358478%10.358478%10.4%99710.035605%10.035605%10.0%14,852,82814.9M9.906416%9.906416%9.9%867,349867k9.891059%9.891059%9.9%5,332,9125.33M9.552526%9.552526%9.6%2689.432962%9.432962%9.4%282999.432962%9.432962%9.4%78109.432962%9.432962%9.4%120118.795518%8.795518%8.8%50128.602651%8.602651%8.6%3,5117.878236%7.878236%7.9%19,91519.9k7.878236%7.878236%7.9%19,91519.9k7.878236%7.878236%7.9%19,91519.9k7.020499%7.020499%7.0%3738136.707517%6.707517%6.7%6136.523252%6.523252%6.5%74146.514286%6.514286%6.5%11156.514286%6.514286%6.5%12166.514286%6.514286%6.5%45176.514286%6.514286%6.5%1185.989111%5.989111%6.0%16205.989111%5.989111%6.0%67215.989111%5.989111%6.0%6225.989111%5.989111%6.0%2526195.989111%5.989111%6.0%1235.935754%5.935754%5.9%1314245.935754%5.935754%5.9%1213255.848854%5.848854%5.8%54265.461118%5.461118%5.5%1617275.333722%5.333722%5.3%115116285.023923%5.023923%5.0%8305.023923%5.023923%5.0%2324294.296010%4.296010%4.3%20314.269972%4.269972%4.3%67323.462918%3.462918%3.5%11333.207331%3.207331%3.2%9342.914144%2.914144%2.9%1112352.797203%2.797203%2.8%01362.797203%2.797203%2.8%56371.569507%1.569507%1.6%67381.569507%1.569507%1.6%6391.569507%1.569507%1.6%12401.569507%1.569507%1.6%1411.391735%1.391735%1.4%11420.933852%0.933852%0.9%1430.933852%0.933852%0.9%0440.933852%0.933852%0.9%01450.933852%0.933852%0.9%0460.498058%0.498058%0.5%3470.000000%0.000000%0.0%048

Education1 Income by Neighborhood#31

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of Webster Park North, selected other neighborhoods in Lakeland, and entities that contain Webster Park North
$0k$20k$40k$60k%Count#Lake Somerset NeighborhoodLake SomersetRaintree NeighborhoodRaintreeCleveland Heights Golf Course NeighborhoodCleveland Hts Golf …South Lake Morton NeighborhoodS Lk MortonDowntown NeighborhoodDowntownUnited States of AmericaUnited StatesLake Beulah NeighborhoodLake BeulahLake Hunter Terrace NeighborhoodLk Hunter TerDixieland NeighborhoodDixielandSouthSouth AtlanticEdgewood NeighborhoodEdgewoodCleveland Heights NeighborhoodCleveland HtsFloridaCamphor NeighborhoodCamphorBeacon Hill NeighborhoodBeacon HillLakelandSouthwest NeighborhoodSouthwestWebster Park North NeighborhoodWebster Pk NPinehurst NeighborhoodPinehurstOrangewood NeighborhoodOrangewoodValencia Heights NeighborhoodValencia HtsHarmony Hills NeighborhoodHarmony HillsLakeland and Winter Haven Metro AreaLakeland AreaPolk CountyPolkPolk County School DistrictPolk CountyLake Hollingsworth NeighborhoodLk HollingsworthPaul A. Diggs NeighborhoodPaul A. DiggsImperial NeighborhoodImperialEast Lake Morton NeighborhoodE Lk MortonWebster Park South NeighborhoodWebster Pk SFlorida Southern College NeighborhoodFlorida S CollegeLake Horney NeighborhoodLake HorneyJefferson Ave NeighborhoodJefferson AveFrancis Blvd NeighborhoodFrancis BlvdZIP Code 33805ZIP 33805Parker Street NeighborhoodParker StreetLake Bonny NeighborhoodLake BonnyShore Acres NeighborhoodShore AcresEdgewater Beach NeighborhoodEdgewater BchLake Bonny Park NeighborhoodLk Bonny PkLime Street NeighborhoodLime StreetLake Watkins NeighborhoodLake WatkinsLakeshore NeighborhoodLakeshoreSwannanoa NeighborhoodSwannanoaTigertown NeighborhoodTigertownN Martha NeighborhoodN MarthaLake Parker Park NeighborhoodLk Parker PkCrystal Lake NeighborhoodCrystal Lake$66,500.000000$66,500.000000$66.5k4.716%4.72%601$66,500.000000$66,500.000000$66.5k4.716%4.72%142$66,500.000000$66,500.000000$66.5k4.716%4.72%343$50,039.089137$50,039.089137$50.0k14.067%14.1%1341354$49,791.323496$49,791.323496$49.8k12.068%12.1%32335$49,084.000000$49,084.000000$49.1k6.053%6.05%8,959,1228.96M$47,938.000000$47,938.000000$47.9k10.335%10.3%246$47,938.000000$47,938.000000$47.9k10.335%10.3%227$47,447.509296$47,447.509296$47.4k9.658%9.66%89908$45,314.000000$45,314.000000$45.3k6.067%6.07%3,271,1433.27M$45,009.000000$45,009.000000$45.0k5.974%5.97%1,697,3011.70M$44,491.165933$44,491.165933$44.5k5.229%5.23%259$44,167.000000$44,167.000000$44.2k5.237%5.24%4010$42,029.000000$42,029.000000$42.0k5.229%5.23%457,834458k$42,011.000000$42,011.000000$42.0k3.230%3.23%1511$42,011.000000$42,011.000000$42.0k3.230%3.23%512$40,548.000000$40,548.000000$40.5k7.057%7.06%2,880$40,546.494209$40,546.494209$40.5k6.066%6.07%6913$40,526.000000$40,526.000000$40.5k4.002%4.00%323314$40,526.000000$40,526.000000$40.5k4.514%4.51%515$40,526.000000$40,526.000000$40.5k4.514%4.51%2316$40,526.000000$40,526.000000$40.5k4.514%4.51%0117$40,526.000000$40,526.000000$40.5k4.514%4.51%0118$40,327.000000$40,327.000000$40.3k5.430%5.43%13,72613.7k$40,327.000000$40,327.000000$40.3k5.430%5.43%13,72613.7k$40,327.000000$40,327.000000$40.3k5.430%5.43%13,72613.7k$38,453.667029$38,453.667029$38.5k7.073%7.07%10119$38,405.196078$38,405.196078$38.4k8.281%8.28%5420$38,177.000000$38,177.000000$38.2k10.364%10.4%5921$38,068.860455$38,068.860455$38.1k10.043%10.0%3322$37,596.000000$37,596.000000$37.6k12.587%12.6%363723$36,713.000000$36,713.000000$36.7k13.341%13.3%5924$36,713.000000$36,713.000000$36.7k13.341%13.3%525325$36,713.000000$36,713.000000$36.7k13.341%13.3%1626$36,713.000000$36,713.000000$36.7k13.341%13.3%1127$36,517.000000$36,517.000000$36.5k6.335%6.34%579$35,714.000000$35,714.000000$35.7k1.787%1.79%91028$35,714.000000$35,714.000000$35.7k5.384%5.38%2329$35,714.000000$35,714.000000$35.7k5.384%5.38%141530$35,714.000000$35,714.000000$35.7k5.384%5.38%5631$35,714.000000$35,714.000000$35.7k5.384%5.38%5632$35,714.000000$35,714.000000$35.7k5.384%5.38%0133$32,525.148960$32,525.148960$32.5k7.010%7.01%7034$28,173.000000$28,173.000000$28.2k4.637%4.64%181935$28,173.000000$28,173.000000$28.2k5.314%5.31%91036$28,173.000000$28,173.000000$28.2k5.314%5.31%937$28,173.000000$28,173.000000$28.2k5.314%5.31%3438$28,173.000000$28,173.000000$28.2k5.314%5.31%139$25,641.935654$25,641.935654$25.6k5.235%5.23%11311440

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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