Sectors in Cleveland Heights, Lakeland, Florida (Neighborhood)

Workers by Sector#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Lakeland and Cleveland Heights
Cleveland Heights
Lakeland
0%20%40%60%CountPrivateNon-ProfitLocal GovernmentSole Proprietor1Self-Employed2State GovernmentFederal GovernmentUnpaid Family62.284123%71.940313%62.284123%62.3%47647713.314763%7.232989%13.314763%13.3%10110210.584958%8.149364%10.584958%10.6%816.406685%5.378188%6.406685%6.4%493.788301%3.844363%3.788301%3.8%292.451253%2.521255%2.451253%2.5%18191.169916%0.860020%1.169916%1.2%890.000000%0.000000%0.0%0.073506%0
Count number of people employed in given sector
1and other unincorporated businesses 2owns corporation

Relative Workers by Sector#2

Percentage more or less common in Cleveland Heights than in Lakeland, among the civilian employed population aged 16 and older.
Scope: population of Lakeland and Cleveland Heights
Less Common
More Common
100%50%0%50%%ref.Non-ProfitFederal GovernmentLocal GovernmentSole Proprietor1Self-Employed2State GovernmentPrivateUnpaid Family84.083818%84.083818%84.1%13.315%13.3%7.233%7.23%36.033617%36.033617%36.0%1.170%1.17%0.860%0.86%29.886921%29.886921%29.9%10.585%10.6%8.149%8.15%19.123483%19.123483%19.1%6.407%6.41%5.378%5.38%-1.458303%-1.458303%1.5%3.788%3.79%3.844%3.84%-2.776474%-2.776474%2.8%2.451%2.45%2.521%2.52%-13.422503%-13.422503%13.4%62.284%62.3%71.940%71.9%-100.000000%-100.000000%100.0%0.000%0%0.074%0.07%
% percentage of sector in Cleveland Heights
ref. percentage of sector in Lakeland
1and other unincorporated businesses 2owns corporation

Part Timers by Sector#3

Part time and seasonal workers as a percentage of total workforce within a sector.
Scope: population of Lakeland and Cleveland Heights
Cleveland Heights
Lakeland
0%10%20%30%40%PartFullState GovernmentNon-ProfitPrivateSole Proprietor1All SectorsSelf-Employed2Local GovernmentFederal Government40.909091%21.768707%40.909091%40.9%781130.962343%35.196477%30.962343%31.0%31327030.769231%28.875038%30.769231%30.8%14614733029.565217%45.876993%29.565217%29.6%1415343527.075209%28.917257%27.075209%27.1%20755813.235294%22.880816%13.235294%13.2%34253.684211%16.776909%3.684211%3.7%23780.000000%0.000000%0.0%30.484330%089
Part number of part time workers employed in given sector
Full number of full time workers employed in given sector
1and other unincorporated businesses 2owns corporation

Median Income by Sector#4

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Lakeland and Cleveland Heights
Cleveland Heights
Lakeland
$0k$20k$40k$60k%CountSole Proprietor1State GovernmentSelf-Employed2All SectorsLocal GovernmentPrivateNon-Profit$72,386.000000$36,290.000000$72,386.000000$72.4k6.407%6.41%49$71,364.000000$40,384.000000$71,364.000000$71.4k2.451%2.45%1819$41,307.000000$51,897.000000$41,307.000000$41.3k3.788%3.79%29$38,491.000000$37,160.000000$38,491.000000$38.5k100.000%100%765766$37,734.000000$40,068.000000$37,734.000000$37.7k10.585%10.6%81$32,155.000000$35,157.000000$32,155.000000$32.2k62.284%62.3%476477$31,845.000000$42,663.000000$31,845.000000$31.8k13.315%13.3%101102
% percent of the workforce employed in given sector
Count number of people employed in given sector
1and other unincorporated businesses 2owns corporation

Sectors by Neighborhood in Lakeland

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

Private Sector by Neighborhood#5

Percentage of the civilian employed population aged 16 and older.
Scope: population of Cleveland Heights, selected other neighborhoods in Lakeland, and entities that contain Cleveland Heights
0%20%40%60%80%Count#Jewel Avenue NeighborhoodJewel AvenueParker Street NeighborhoodParker StreetPinehurst NeighborhoodPinehurstHarmony Hills NeighborhoodHarmony HillsOrangewood NeighborhoodOrangewoodValencia Heights NeighborhoodValencia HtsLake Bonny NeighborhoodLake BonnyShore Acres NeighborhoodShore AcresEdgewater Beach NeighborhoodEdgewater BchLake Bonny Park NeighborhoodLk Bonny PkLime Street NeighborhoodLime StreetWebster Park North NeighborhoodWebster Pk NLake Hunter Terrace NeighborhoodLk Hunter TerLake Beulah NeighborhoodLake BeulahDixieland NeighborhoodDixielandJohn Cox NeighborhoodJohn CoxWatson NeighborhoodWatsonLakeshore NeighborhoodLakeshoreKathleen NeighborhoodKathleenCamphor NeighborhoodCamphorBeacon Hill NeighborhoodBeacon HillWestgate NeighborhoodWestgateCentral Avenue NeighborhoodCntrl AveNorth Lake Wire NeighborhoodN Lk WirePaul A. Diggs NeighborhoodPaul A. DiggsTigertown NeighborhoodTigertownN Martha NeighborhoodN MarthaSwannanoa NeighborhoodSwannanoaLake Parker Park NeighborhoodLk Parker PkLake Bonnet NeighborhoodLake BonnetCrystal Lake NeighborhoodCrystal LakeEast Lake Morton NeighborhoodE Lk MortonWebster Park South NeighborhoodWebster Pk SSouthwest NeighborhoodSouthwestLakeland and Winter Haven Metro AreaLakeland AreaPolk CountyPolkPolk County School DistrictPolk CountyLakelandFlorida Southern College NeighborhoodFlorida S CollegeLake Horney NeighborhoodLake HorneyJefferson Ave NeighborhoodJefferson AveFrancis Blvd NeighborhoodFrancis BlvdFloridaSouthLake Somerset NeighborhoodLake SomersetRaintree NeighborhoodRaintreeCleveland Heights Golf Course NeighborhoodCleveland Hts Golf …United States of AmericaUnited StatesSouth AtlanticZIP Code 33803ZIP 33803Downtown NeighborhoodDowntownEdgewood NeighborhoodEdgewoodCleveland Heights NeighborhoodCleveland HtsImperial NeighborhoodImperialSouth Lake Morton NeighborhoodS Lk MortonLake Watkins NeighborhoodLake WatkinsLake Hollingsworth NeighborhoodLk Hollingsworth88.201604%88.201604%88.2%251252183.011697%83.011697%83.0%446447282.957198%82.957198%83.0%96382.957198%82.957198%83.0%13682.957198%82.957198%83.0%5354482.957198%82.957198%83.0%13582.819117%82.819117%82.8%358359782.819117%82.819117%82.8%226882.819117%82.819117%82.8%8990982.819117%82.819117%82.8%861082.819117%82.819117%82.8%151182.277866%82.277866%82.3%6706711281.773743%81.773743%81.8%1751761381.773743%81.773743%81.8%1901911481.698179%81.698179%81.7%7601581.538462%81.538462%81.5%1731681.538462%81.538462%81.5%24251781.389387%81.389387%81.4%3253261881.275526%81.275526%81.3%3861980.980861%80.980861%81.0%3852080.980861%80.980861%81.0%1311322179.271357%79.271357%79.3%2982992279.271357%79.271357%79.3%2812379.113890%79.113890%79.1%2432478.400833%78.400833%78.4%5132576.800000%76.800000%76.8%1352776.800000%76.800000%76.8%552876.800000%76.800000%76.8%1421432676.800000%76.800000%76.8%14152976.308540%76.308540%76.3%1223074.897963%74.897963%74.9%1,6271,6283174.595743%74.595743%74.6%2452463273.193473%73.193473%73.2%2142153373.152531%73.152531%73.2%8353472.902269%72.902269%72.9%184,286184k72.902269%72.902269%72.9%184,286184k72.902269%72.902269%72.9%184,286184k71.940313%71.940313%71.9%29,36129.4k71.917040%71.917040%71.9%3203571.917040%71.917040%71.9%2833671.917040%71.917040%71.9%87883771.917040%71.917040%71.9%59603869.750830%69.750830%69.8%6,106,9836.11M68.525307%68.525307%68.5%36,946,44136.9M68.521463%68.521463%68.5%8738743968.521463%68.521463%68.5%2094068.521463%68.521463%68.5%57584168.253043%68.253043%68.3%101,015,409101M67.342861%67.342861%67.3%19,134,68219.1M66.608182%66.608182%66.6%8,35265.023804%65.023804%65.0%1774262.379228%62.379228%62.4%3003014362.284123%62.284123%62.3%4764774461.288515%61.288515%61.3%3503514561.057156%61.057156%61.1%5835844660.537783%60.537783%60.5%6084760.325271%60.325271%60.3%86348

Private Income by Neighborhood#13

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of Cleveland Heights, selected other neighborhoods in Lakeland, and entities that contain Cleveland Heights
$0k$20k$40k%Count#Lake Hollingsworth NeighborhoodLk HollingsworthLake Watkins NeighborhoodLake WatkinsSouth Lake Morton NeighborhoodS Lk MortonUnited States of AmericaUnited StatesDowntown NeighborhoodDowntownSouth AtlanticSouthImperial NeighborhoodImperialZIP Code 33803ZIP 33803FloridaLake Somerset NeighborhoodLake SomersetRaintree NeighborhoodRaintreeCleveland Heights Golf Course NeighborhoodCleveland Hts Golf …Swannanoa NeighborhoodSwannanoaTigertown NeighborhoodTigertownN Martha NeighborhoodN MarthaLake Parker Park NeighborhoodLk Parker PkLakelandLakeland and Winter Haven Metro AreaLakeland AreaPolk CountyPolkPolk County School DistrictPolk CountySouthwest NeighborhoodSouthwestEdgewood NeighborhoodEdgewoodCleveland Heights NeighborhoodCleveland HtsShore Acres NeighborhoodShore AcresLake Bonny NeighborhoodLake BonnyEdgewater Beach NeighborhoodEdgewater BchLake Bonny Park NeighborhoodLk Bonny PkLime Street NeighborhoodLime StreetCamphor NeighborhoodCamphorBeacon Hill NeighborhoodBeacon HillLakeshore NeighborhoodLakeshoreJohn Cox NeighborhoodJohn CoxWatson NeighborhoodWatsonDixieland NeighborhoodDixielandFlorida Southern College NeighborhoodFlorida S CollegeLake Horney NeighborhoodLake HorneyJefferson Ave NeighborhoodJefferson AveFrancis Blvd NeighborhoodFrancis BlvdCrystal Lake NeighborhoodCrystal LakeLake Beulah NeighborhoodLake BeulahLake Hunter Terrace NeighborhoodLk Hunter TerEast Lake Morton NeighborhoodE Lk MortonWebster Park South NeighborhoodWebster Pk SWestgate NeighborhoodWestgateCentral Avenue NeighborhoodCntrl AveJewel Avenue NeighborhoodJewel AvenueLake Bonnet NeighborhoodLake BonnetNorth Lake Wire NeighborhoodN Lk WirePaul A. Diggs NeighborhoodPaul A. DiggsKathleen NeighborhoodKathleenParker Street NeighborhoodParker StreetWebster Park North NeighborhoodWebster Pk NPinehurst NeighborhoodPinehurstOrangewood NeighborhoodOrangewoodValencia Heights NeighborhoodValencia HtsHarmony Hills NeighborhoodHarmony Hills$48,552.223822$48,552.223822$48.6k60.325%60.3%8631$47,734.148193$47,734.148193$47.7k60.538%60.5%6082$44,797.169149$44,797.169149$44.8k61.057%61.1%5835843$42,182.000000$42,182.000000$42.2k68.253%68.3%101,015,409101M$40,668.353347$40,668.353347$40.7k65.024%65.0%1774$40,425.000000$40,425.000000$40.4k67.343%67.3%19,134,68219.1M$40,071.000000$40,071.000000$40.1k68.525%68.5%36,946,44136.9M$40,070.000000$40,070.000000$40.1k61.289%61.3%3503515$36,909.000000$36,909.000000$36.9k66.608%66.6%8,352$36,558.000000$36,558.000000$36.6k69.751%69.8%6,106,9836.11M$35,673.000000$35,673.000000$35.7k68.521%68.5%8738746$35,673.000000$35,673.000000$35.7k68.521%68.5%2097$35,673.000000$35,673.000000$35.7k68.521%68.5%57588$35,176.000000$35,176.000000$35.2k76.800%76.8%1421439$35,176.000000$35,176.000000$35.2k76.800%76.8%13510$35,176.000000$35,176.000000$35.2k76.800%76.8%5511$35,176.000000$35,176.000000$35.2k76.800%76.8%141512$35,157.000000$35,157.000000$35.2k71.940%71.9%29,36129.4k$34,400.000000$34,400.000000$34.4k72.902%72.9%184,286184k$34,400.000000$34,400.000000$34.4k72.902%72.9%184,286184k$34,400.000000$34,400.000000$34.4k72.902%72.9%184,286184k$34,236.495608$34,236.495608$34.2k73.153%73.2%83513$32,206.064154$32,206.064154$32.2k62.379%62.4%30030114$32,155.000000$32,155.000000$32.2k62.284%62.3%47647715$30,695.000000$30,695.000000$30.7k82.819%82.8%22616$30,695.000000$30,695.000000$30.7k82.819%82.8%35835917$30,695.000000$30,695.000000$30.7k82.819%82.8%899018$30,695.000000$30,695.000000$30.7k82.819%82.8%8619$30,695.000000$30,695.000000$30.7k82.819%82.8%1520$30,631.000000$30,631.000000$30.6k80.981%81.0%38521$30,631.000000$30,631.000000$30.6k80.981%81.0%13113222$30,561.244351$30,561.244351$30.6k81.389%81.4%32532623$30,500.000000$30,500.000000$30.5k81.538%81.5%17324$30,500.000000$30,500.000000$30.5k81.538%81.5%242525$29,397.305888$29,397.305888$29.4k81.698%81.7%76026$29,375.000000$29,375.000000$29.4k71.917%71.9%32027$29,375.000000$29,375.000000$29.4k71.917%71.9%28328$29,375.000000$29,375.000000$29.4k71.917%71.9%878829$29,375.000000$29,375.000000$29.4k71.917%71.9%596030$29,367.298608$29,367.298608$29.4k74.898%74.9%1,6271,62831$29,286.000000$29,286.000000$29.3k81.774%81.8%19019132$29,286.000000$29,286.000000$29.3k81.774%81.8%17517633$27,509.646535$27,509.646535$27.5k74.596%74.6%24524634$27,159.000000$27,159.000000$27.2k73.193%73.2%21421535$26,346.000000$26,346.000000$26.3k79.271%79.3%29829936$26,346.000000$26,346.000000$26.3k79.271%79.3%28137$26,266.000000$26,266.000000$26.3k88.202%88.2%25125238$26,165.000000$26,165.000000$26.2k76.309%76.3%12239$25,079.602460$25,079.602460$25.1k79.114%79.1%24340$24,978.037056$24,978.037056$25.0k78.401%78.4%51341$24,702.065792$24,702.065792$24.7k81.276%81.3%38642$23,792.597061$23,792.597061$23.8k83.012%83.0%44644743$20,769.681834$20,769.681834$20.8k82.278%82.3%67067144$19,262.000000$19,262.000000$19.3k82.957%83.0%9645$19,262.000000$19,262.000000$19.3k82.957%83.0%535446$19,262.000000$19,262.000000$19.3k82.957%83.0%1347$19,262.000000$19,262.000000$19.3k82.957%83.0%1348
% percent of the workforce employed in given sector
Count number of people employed in given sector
# rank of neighborhood out of 48 by income in given sector

Definitions

A sector describes the organizational category of a person’s employing organization. On this page, all employed persons are categorized as working in one of the following sectors (bolded terms are used in the charts and maps on this page):

  • Private for-profit wage and salary workers:
    • Private: Employee of private company workers
    • Self-Employed: Self-employed in own incorporated business workers
  • Non-Profit: Private not-for-profit wage and salary workers
  • Local Government: Local government workers
  • State Government: State government workers
  • Federal Government: Federal government workers
  • Sole Proprietor: Self-employed in own not incorporated business workers
  • Unpaid Family: Unpaid family workers

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.

More Topics to Explore

Demographics

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More Maps to Explore

State:
Florida
County:
Polk
Metro Area:
Lakeland Area
City:
Lakeland
ZIP Code:
33803
Unified School District:
Polk County
Congressional District:
FL-15
State Senate District:
FL-22
State House District:
FL-40
Neighboring Neighborhoods:
Cleveland Heights Golf Course, Edgewood, Imperial, Raintree, Southwest
Nearby Neighborhoods:
Beacon Hill, Camphor, Cleveland Heights Golf Course, Florida Southern College, Imperial, Jefferson Ave, Lake Hollingsworth, Lake Horney, Lake Hunter Terrace, Lake Somerset, Lake Watkins, Raintree, South Lake Morton, Southwest