Occupations in Crystal Lake, Lakeland, Florida (Neighborhood)

Occupations#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Lakeland and Crystal Lake
Crystal Lake
Lakeland
0%5%10%CountAdministrativeSales and RelatedProductionFood ServiceMaterial MovingConstruction1Healthcare SupportManagementEducation2FacilitiesTransportationBusiness3Personal CareEntertainment4Engineering5Social ServiceRepair6Health TechniciansHealthcare7Fire FightingFarming8LegalLaw EnforcementComputers & MathScience14.104231%14.877613%14.104231%14.1%30630713.675473%13.162473%13.675473%13.7%2977.474377%4.444662%7.474377%7.5%1627.286935%5.596256%7.286935%7.3%1587.068026%4.398108%7.068026%7.1%1531546.816432%4.986156%6.816432%6.8%1485.798492%3.175459%5.798492%5.8%1265.333722%8.602651%5.333722%5.3%1151165.234591%7.056575%5.234591%5.2%1131144.410837%4.349104%4.410837%4.4%95964.166739%4.302551%4.166739%4.2%90914.004816%4.523069%4.004816%4.0%872.840200%2.197829%2.840200%2.8%61621.959136%1.891554%1.959136%2.0%42431.838409%1.264303%1.838409%1.8%39401.450452%1.962610%1.450452%1.5%31321.371535%1.928307%1.371535%1.4%29301.230993%1.808247%1.230993%1.2%26271.044246%3.775758%1.044246%1.0%22230.753909%1.261853%0.753909%0.8%160.677427%0.389582%0.677427%0.7%14150.631743%0.864920%0.631743%0.6%13140.418975%0.641952%0.418975%0.4%90.408307%2.026315%0.408307%0.4%890.000000%0.000000%0.0%0.512092%0

Relative Occupations#2

Percentage more or less common in Crystal Lake than in Lakeland, among the civilian employed population aged 16 and older.
Scope: population of Lakeland and Crystal Lake
Less Common
More Common
100%50%0%50%%ref.Healthcare SupportFarming1ProductionMaterial MovingEngineering2Construction3Food ServicePersonal CareSales and RelatedEntertainment4FacilitiesTransportationAdministrativeBusiness5Education6Social ServiceLegalRepair7Health TechniciansLaw EnforcementManagementFire FightingHealthcare8Computers & MathScience82.603271%82.603271%82.6%5.798%5.80%3.175%3.18%73.885608%73.885608%73.9%0.677%0.68%0.390%0.39%68.165238%68.165238%68.2%7.474%7.47%4.445%4.44%60.706046%60.706046%60.7%7.068%7.07%4.398%4.40%45.408902%45.408902%45.4%1.838%1.84%1.264%1.26%36.707149%36.707149%36.7%6.816%6.82%4.986%4.99%30.210887%30.210887%30.2%7.287%7.29%5.596%5.60%29.227498%29.227498%29.2%2.840%2.84%2.198%2.20%3.897442%3.897442%3.9%13.675%13.7%13.162%13.2%3.572809%3.572809%3.6%1.959%1.96%1.892%1.89%1.419427%1.419427%1.4%4.411%4.41%4.349%4.35%-3.156543%-3.156543%3.2%4.167%4.17%4.303%4.30%-5.198292%-5.198292%5.2%14.104%14.1%14.878%14.9%-11.457990%-11.457990%11.5%4.005%4.00%4.523%4.52%-25.819663%-25.819663%25.8%5.235%5.23%7.057%7.06%-26.095773%-26.095773%26.1%1.450%1.45%1.963%1.96%-26.959443%-26.959443%27.0%0.632%0.63%0.865%0.86%-28.873600%-28.873600%28.9%1.372%1.37%1.928%1.93%-31.923436%-31.923436%31.9%1.231%1.23%1.808%1.81%-34.734300%-34.734300%34.7%0.419%0.42%0.642%0.64%-37.999086%-37.999086%38.0%5.334%5.33%8.603%8.60%-40.253846%-40.253846%40.3%0.754%0.75%1.262%1.26%-72.343399%-72.343399%72.3%1.044%1.04%3.776%3.78%-79.849786%-79.849786%79.8%0.408%0.41%2.026%2.03%-100.000000%-100.000000%100.0%0.000%0%0.512%0.51%

Sex Ratio by Occupation#3

Sex ratio by occupation among the civilian employed population aged 16 and older.
Scope: population of Lakeland and Crystal Lake
Female Male
Lakeland
Crystal Lake
2x1x0x1x2xFMComputers & MathProductionFire FightingEntertainment1Business2All OccupationsFood ServiceManagementSocial ServiceAdministrativeSales and RelatedPersonal Care-1.000000x-1.000000x-1.000000x1.862912x3.014563x1.862912x1.86x356-1.000000x-1.000000x-1.000000x1.843803x2.182456x1.843803x1.84x57105-1.000000x-1.000000x-1.000000x1.682655x2.218750x1.682655x1.68x610-1.000000x-1.000000x-1.000000x1.210926x1.924242x1.210926x1.21x1923-1.000000x-1.413072x-1.000000x1.138576x1.000000x1.138576x1.14x404146-1.000000x-1.000000x-1.000000x1.083639x1.061783x1.083639x1.08x1,0431,130-1.386991x-1.000000x-1.386991x1.39x1.000000x1.083942x1.000000x9266-1.448625x-1.000000x-1.448625x1.45x1.000000x1.157959x1.000000x686947-1.474771x-1.124668x-1.474771x1.47x1.000000x1.000000x1.000000x18191213-1.680444x-2.380846x-1.680444x1.68x1.000000x1.000000x1.000000x192114-1.696326x-1.146225x-1.696326x1.70x1.000000x1.000000x1.000000x186187110-2.102254x-3.133641x-2.102254x2.10x1.000000x1.000000x1.000000x41421920

Part Timers by Occupation#4

Part time and seasonal workers as a percentage of total workforce within an occupation.
Scope: population of Lakeland and Crystal Lake
Crystal Lake
Lakeland
0%20%40%60%PartFullFood ServiceFire FightingProductionEducation1Repair2Entertainment3Sales and RelatedComputers & MathManagementAll OccupationsConstruction4TransportationBusiness5Personal CareAdministrativeFacilitiesMaterial MovingHealthcare SupportSocial ServiceHealth TechniciansEngineering6Farming7Healthcare8LegalLaw Enforcement73.658843%49.649737%73.658843%73.7%116117414260.432198%35.728155%60.432198%60.4%910657.402483%19.680265%57.402483%57.4%936952.256743%27.916667%52.256743%52.3%595449.640266%12.198221%49.640266%49.6%14151548.272446%36.398964%48.272446%48.3%20212242.104055%35.629188%42.104055%42.1%12517241.436518%12.575574%41.436518%41.4%34538.849441%15.152378%38.849441%38.8%45707137.727222%28.917257%37.727222%37.7%8198201,35334.233823%29.582310%34.233823%34.2%50519732.791372%32.630979%32.791372%32.8%2930606131.557265%11.700975%31.557265%31.6%27596030.932374%44.035674%30.932374%30.9%19424327.617799%31.851120%27.617799%27.6%848522122227.415909%37.859155%27.415909%27.4%26697026.659834%30.139276%26.659834%26.7%404111211324.254713%38.271605%24.254713%24.3%30319523.761097%19.350811%23.761097%23.8%72421.272196%20.325203%21.272196%21.3%562114.321569%18.023256%14.321569%14.3%56349.805027%27.672956%9.805027%9.8%1137.540964%26.086957%7.540964%7.5%1220210.000000%0.000000%0.0%18.980170%013140.000000%0.000000%0.0%3.053435%09

Median Income by Occupation#5

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Lakeland and Crystal Lake
Crystal Lake
Lakeland
$0k$50k$100k%CountLegalManagementHealthcare SupportHealthcare1TransportationBusiness2Material MovingAll OccupationsSales and RelatedProductionFacilitiesConstruction3Education4AdministrativeEntertainment5Personal Care$102,500.000000$50,643.000000$102,500.000000$102.5k0.632%0.63%1314$63,880.169407$54,370.000000$63,880.169407$63.9k5.334%5.33%115116$57,142.935967$22,093.000000$57,142.935967$57.1k5.798%5.80%126$55,796.825228$57,813.000000$55,796.825228$55.8k1.044%1.04%2223$35,375.676508$39,866.000000$35,375.676508$35.4k4.167%4.17%9091$30,871.934263$44,613.000000$30,871.934263$30.9k4.005%4.00%87$30,626.937581$30,097.000000$30,626.937581$30.6k7.068%7.07%153154$29,897.769364$37,160.000000$29,897.769364$29.9k100.000%100%2,173$29,338.642311$36,759.000000$29,338.642311$29.3k13.675%13.7%297$28,612.907643$30,509.000000$28,612.907643$28.6k7.474%7.47%162$27,954.469318$22,133.000000$27,954.469318$28.0k4.411%4.41%9596$25,833.890318$32,053.000000$25,833.890318$25.8k6.816%6.82%148$25,641.935654$40,548.000000$25,641.935654$25.6k5.235%5.23%113114$24,886.823486$32,349.000000$24,886.823486$24.9k14.104%14.1%306307$22,321.000000$45,755.000000$22,321.000000$22.3k1.959%1.96%4243$19,350.000000$23,232.000000$19,350.000000$19.4k2.840%2.84%6162

Occupations by Neighborhood in Lakeland

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

Management Occupations by Neighborhood#6

Percentage of the civilian employed population aged 16 and older.
Scope: population of Crystal Lake, selected other neighborhoods in Lakeland, and entities that contain Crystal Lake
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 StreetSouthwest 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 NeighborhoodDixielandZIP Code 33801ZIP 33801North 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%3738136.523252%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%54265.647383%5.647383%5.6%7385.461118%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

Management Income by Neighborhood#31

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of Crystal Lake, selected other neighborhoods in Lakeland, and entities that contain Crystal Lake
$0k$50k$100k%Count#South Lake Morton NeighborhoodS Lk MortonDowntown NeighborhoodDowntownCamphor NeighborhoodCamphorBeacon Hill NeighborhoodBeacon HillSouthwest NeighborhoodSouthwestFlorida Southern College NeighborhoodFlorida S CollegeLake Horney NeighborhoodLake HorneyJefferson Ave NeighborhoodJefferson AveFrancis Blvd NeighborhoodFrancis BlvdLake Hollingsworth NeighborhoodLk HollingsworthLake Watkins NeighborhoodLake WatkinsUnited States of AmericaUnited StatesSouth AtlanticSouthEast Lake Morton NeighborhoodE Lk MortonCrystal Lake NeighborhoodCrystal LakeFloridaImperial NeighborhoodImperialLakelandLakeland and Winter Haven Metro AreaLakeland AreaPolk CountyPolkPolk County School DistrictPolk CountyLakeshore NeighborhoodLakeshoreSwannanoa NeighborhoodSwannanoaTigertown NeighborhoodTigertownN Martha NeighborhoodN MarthaLake Parker Park NeighborhoodLk Parker PkCleveland Heights Golf Course NeighborhoodCleveland Hts Golf …Lake Somerset NeighborhoodLake SomersetRaintree NeighborhoodRaintreeEdgewood NeighborhoodEdgewoodCleveland Heights NeighborhoodCleveland HtsDixieland NeighborhoodDixielandLake Beulah NeighborhoodLake BeulahLake Hunter Terrace NeighborhoodLk Hunter TerLake Bonny NeighborhoodLake BonnyShore Acres NeighborhoodShore AcresEdgewater Beach NeighborhoodEdgewater BchLake Bonny Park NeighborhoodLk Bonny PkLime Street NeighborhoodLime StreetZIP Code 33801ZIP 33801Parker Street NeighborhoodParker StreetNorth Lake Wire NeighborhoodN Lk WireWestgate NeighborhoodWestgateCentral Avenue NeighborhoodCntrl Ave$123,874.462188$123,874.462188$123.9k10.358%10.4%991$107,789.014759$107,789.014759$107.8k9.553%9.55%262$102,143.000000$102,143.000000$102.1k5.024%5.02%23243$102,143.000000$102,143.000000$102.1k5.024%5.02%84$84,527.676824$84,527.676824$84.5k6.523%6.52%745$83,958.000000$83,958.000000$84.0k1.570%1.57%676$83,958.000000$83,958.000000$84.0k1.570%1.57%67$83,958.000000$83,958.000000$84.0k1.570%1.57%128$83,958.000000$83,958.000000$84.0k1.570%1.57%19$76,642.370451$76,642.370451$76.6k11.236%11.2%16016110$75,324.921991$75,324.921991$75.3k11.554%11.6%11611$72,586.000000$72,586.000000$72.6k10.036%10.0%14,852,82814.9M$71,343.000000$71,343.000000$71.3k10.390%10.4%2,952,3322.95M$69,211.000000$69,211.000000$69.2k9.891%9.89%5,332,9125.33M$66,011.940801$66,011.940801$66.0k3.463%3.46%1112$63,880.169407$63,880.169407$63.9k5.334%5.33%11511613$62,806.000000$62,806.000000$62.8k9.906%9.91%867,349867k$56,027.000000$56,027.000000$56.0k8.796%8.80%5014$54,370.000000$54,370.000000$54.4k8.603%8.60%3,511$53,986.000000$53,986.000000$54.0k7.878%7.88%19,91519.9k$53,986.000000$53,986.000000$54.0k7.878%7.88%19,91519.9k$53,986.000000$53,986.000000$54.0k7.878%7.88%19,91519.9k$53,144.000000$53,144.000000$53.1k2.914%2.91%111215$53,144.000000$53,144.000000$53.1k6.514%6.51%1216$53,144.000000$53,144.000000$53.1k6.514%6.51%1117$53,144.000000$53,144.000000$53.1k6.514%6.51%4518$53,144.000000$53,144.000000$53.1k6.514%6.51%119$51,932.000000$51,932.000000$51.9k9.433%9.43%7820$51,932.000000$51,932.000000$51.9k9.433%9.43%12021$51,932.000000$51,932.000000$51.9k9.433%9.43%282922$51,313.115489$51,313.115489$51.3k11.555%11.6%555623$51,304.000000$51,304.000000$51.3k11.588%11.6%888924$46,497.433446$46,497.433446$46.5k5.849%5.85%5425$41,477.000000$41,477.000000$41.5k5.936%5.94%131426$41,477.000000$41,477.000000$41.5k5.936%5.94%121327$41,066.000000$41,066.000000$41.1k5.989%5.99%252628$41,066.000000$41,066.000000$41.1k5.989%5.99%1629$41,066.000000$41,066.000000$41.1k5.989%5.99%6730$41,066.000000$41,066.000000$41.1k5.989%5.99%631$41,066.000000$41,066.000000$41.1k5.989%5.99%132$40,755.000000$40,755.000000$40.8k5.647%5.65%738$40,156.758600$40,156.758600$40.2k7.020%7.02%373833$40,114.000000$40,114.000000$40.1k5.461%5.46%161734$32,383.000000$32,383.000000$32.4k11.307%11.3%424335$32,383.000000$32,383.000000$32.4k11.307%11.3%4036

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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