Sectors in Lakeshore, Lakeland, Florida (Neighborhood)

Workers by Sector#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Lakeland and Lakeshore
Lakeshore
Lakeland
0%20%40%60%80%CountPrivateLocal GovernmentNon-ProfitSole Proprietor1Federal GovernmentUnpaid FamilySelf-Employed2State Government81.389387%71.940313%81.389387%81.4%3253267.341180%8.149364%7.341180%7.3%294.828563%7.232989%4.828563%4.8%192.446641%5.378188%2.446641%2.4%9101.672262%0.860020%1.672262%1.7%671.354601%0.073506%1.354601%1.4%50.913434%3.844363%0.913434%0.9%340.053932%2.521255%0.053932%0.1%0

Relative Workers by Sector#2

Percentage more or less common in Lakeshore than in Lakeland, among the civilian employed population aged 16 and older.
Scope: population of Lakeland and Lakeshore
Less Common
More Common
0k%1k%%ref.Unpaid FamilyFederal GovernmentPrivateLocal GovernmentNon-ProfitSole Proprietor1Self-Employed2State Government1,742.843804%1,742.843804%1.7k%1.355%1.35%0.074%0.07%94.444543%94.444543%0.1k%1.672%1.67%0.860%0.86%13.134602%13.134602%0.0k%81.389%81.4%71.940%71.9%-9.917139%-9.917139%0.0k%7.341%7.34%8.149%8.15%-33.242504%-33.242504%0.0k%4.829%4.83%7.233%7.23%-54.508086%-54.508086%0.1k%2.447%2.45%5.378%5.38%-76.239650%-76.239650%0.1k%0.913%0.91%3.844%3.84%-97.860891%-97.860891%0.1k%0.054%0.05%2.521%2.52%

Part Timers by Sector#3

Part time and seasonal workers as a percentage of total workforce within a sector.
Scope: population of Lakeland and Lakeshore
Lakeshore
Lakeland
0%50%100%PartFullFederal GovernmentUnpaid FamilySole Proprietor1Non-ProfitState GovernmentAll SectorsPrivateLocal GovernmentSelf-Employed2100.000000%30.484330%100.000000%100.0%670100.000000%100.000000%100.000000%100.0%5097.501742%45.876993%97.501742%97.5%910066.497262%35.196477%66.497262%66.5%1213653.333333%21.768707%53.333333%53.3%0048.789893%28.917257%48.789893%48.8%19520420546.109440%28.875038%46.109440%46.1%15017535.230375%16.776909%35.230375%35.2%10192.558555%22.880816%2.558555%2.6%034

Median Income by Sector#4

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Lakeland and Lakeshore
Lakeshore
Lakeland
$0k$20k$40k%CountNon-ProfitLocal GovernmentSole Proprietor1All SectorsPrivateSelf-Employed2$35,927.000000$42,663.000000$35,927.000000$35.9k4.829%4.83%19$34,404.274969$40,068.000000$34,404.274969$34.4k7.341%7.34%29$34,000.000000$36,290.000000$34,000.000000$34.0k2.447%2.45%910$32,930.525910$37,160.000000$32,930.525910$32.9k100.000%100%399400$30,561.244351$35,157.000000$30,561.244351$30.6k81.389%81.4%325326$4,943.000000$51,897.000000$4,943.000000$4.9k0.913%0.91%34

Map of Sectors by Tract in Lakeshore

Private Sectors by Tract#5

Percentage of the population aged 16 and older employed in sector: private (%):
76.8%77.7%78.7%79.6%80.6%81.6%

Self-Employed Sectors by Tract#6

Percentage of the population aged 16 and older employed in sector: self-employed (owns corporation) (%):
0.83%1.31%1.78%2.26%2.73%3.20%

Non-Profit Sectors by Tract#7

Percentage of the population aged 16 and older employed in sector: non-profit (%):
4.75%5.22%5.69%6.15%6.62%7.09%

Local Government Sectors by Tract#8

Percentage of the population aged 16 and older employed in sector: local government (%):
5.14%5.60%6.05%6.50%6.96%7.42%

State Government Sectors by Tract#9

Percentage of the population aged 16 and older employed in sector: state government (%):
0.00%0.34%0.69%1.03%1.37%1.72%

Federal Government Sectors by Tract#10

Percentage of the population aged 16 and older employed in sector: federal government (%):
1.485%1.524%1.563%1.601%1.640%1.679%

Sole Proprietor Sectors by Tract#11

Percentage of the population aged 16 and older employed in sector: sole proprietor (and other unincorporated businesses) (%):
2.37%2.82%3.26%3.69%4.13%4.58%

Unpaid Family Sectors by Tract#12

Percentage of the population aged 16 and older employed in sector: unpaid family (%):
0.00%0.28%0.56%0.84%1.12%1.40%
Road Data ©OpenStreetMap

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Sectors by Neighborhood in Lakeland

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

Private Sector by Neighborhood#13

Percentage of the civilian employed population aged 16 and older.
Scope: population of Lakeshore, selected other neighborhoods in Lakeland, and entities that contain Lakeshore
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 BonnetZIP Code 33805ZIP 33805Crystal 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 AtlanticDowntown 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%1223075.270817%75.270817%75.3%6,87974.897963%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%19,134,68219.1M65.023804%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#21

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of Lakeshore, selected other neighborhoods in Lakeland, and entities that contain Lakeshore
$0k$20k$40k%Count#Lake Hollingsworth NeighborhoodLk HollingsworthLake Watkins NeighborhoodLake WatkinsSouth Lake Morton NeighborhoodS Lk MortonUnited States of AmericaUnited StatesDowntown NeighborhoodDowntownSouth AtlanticSouthImperial NeighborhoodImperialFloridaLake 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 NeighborhoodWatsonZIP Code 33805ZIP 33805Dixieland 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$36,558.000000$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$29,842.000000$29,842.000000$29.8k75.271%75.3%6,879$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

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.

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