Sectors in Lake Davis-Greenwood, Orlando, Florida (Neighborhood)

Workers by Sector#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Orlando and Lake Davis-Greenwood
Lake Davis-Greenwood
Orlando
0%20%40%60%CountPrivateNon-ProfitLocal GovernmentSelf-Employed1Sole Proprietor2State GovernmentFederal GovernmentUnpaid Family72.998889%77.226151%72.998889%73.0%5407.670581%6.136022%7.670581%7.7%56576.304524%5.104213%6.304524%6.3%46476.033769%3.858068%6.033769%6.0%44454.082525%4.299559%4.082525%4.1%301.866516%2.201050%1.866516%1.9%13141.043195%1.091624%1.043195%1.0%780.000000%0.000000%0.0%0.083314%0

Relative Workers by Sector#2

Percentage more or less common in Lake Davis-Greenwood than in Orlando, among the civilian employed population aged 16 and older.
Scope: population of Orlando and Lake Davis-Greenwood
Less Common
More Common
100%50%0%50%%ref.Self-Employed1Non-ProfitLocal GovernmentFederal GovernmentSole Proprietor2PrivateState GovernmentUnpaid Family56.393563%56.393563%56.4%6.034%6.03%3.858%3.86%25.009015%25.009015%25.0%7.671%7.67%6.136%6.14%23.516079%23.516079%23.5%6.305%6.30%5.104%5.10%-4.436370%-4.436370%4.4%1.043%1.04%1.092%1.09%-5.047827%-5.047827%5.0%4.083%4.08%4.300%4.30%-5.473873%-5.473873%5.5%72.999%73.0%77.226%77.2%-15.198818%-15.198818%15.2%1.867%1.87%2.201%2.20%-100.000000%-100.000000%100.0%0.000%0%0.083%0.08%

Part Timers by Sector#3

Part time and seasonal workers as a percentage of total workforce within a sector.
Scope: population of Orlando and Lake Davis-Greenwood
Lake Davis-Greenwood
Orlando
0%20%40%60%PartFullSole Proprietor1Local GovernmentState GovernmentAll SectorsPrivateNon-ProfitSelf-Employed2Federal Government63.699488%50.960583%63.699488%63.7%19101163.179173%30.845424%63.179173%63.2%291739.043250%25.978648%39.043250%39.0%5825.023711%30.083385%25.023711%25.0%18555455520.949509%29.897373%20.949509%20.9%11342642718.384670%22.861785%18.384670%18.4%104615.312112%28.368402%15.312112%15.3%6737388.076324%11.024136%8.076324%8.1%017

Median Income by Sector#4

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Orlando and Lake Davis-Greenwood
Lake Davis-Greenwood
Orlando
$0k$20k$40k$60k$80k%CountSelf-Employed1State GovernmentNon-ProfitPrivateAll SectorsLocal Government$86,619.416924$47,134.000000$86,619.416924$86.6k6.034%6.03%4445$60,917.000000$49,931.000000$60,917.000000$60.9k1.867%1.87%1314$60,270.498784$42,152.000000$60,270.498784$60.3k7.671%7.67%5657$52,955.260768$36,383.000000$52,955.260768$53.0k72.999%73.0%540$52,746.463638$37,901.000000$52,746.463638$52.7k100.000%100%739740$47,343.705529$41,836.000000$47,343.705529$47.3k6.305%6.30%4647

Sex Ratio by Sector#5

Sex ratio by sector among the civilian employed population aged 16 and older.
Scope: population of Orlando and Lake Davis-Greenwood
Female Male
Orlando
Lake Davis-Greenwood
10x5x0x5x10xFMSelf-Employed1PrivateAll SectorsNon-ProfitSole Proprietor2State GovernmentLocal GovernmentFederal Government-1.000000x-1.000000x-1.000000x11.328122x2.081911x11.328122x11.33x3441-1.000000x-1.000000x-1.000000x1.149054x1.060279x1.149054x1.15x251288289-1.000000x-1.003324x-1.000000x1.072909x1.000000x1.072909x1.07x356357382383-1.494419x-1.951027x-1.494419x1.49x1.000000x1.000000x1.000000x342223-1.504862x-1.000000x-1.504862x1.50x1.000000x1.022781x1.000000x1812-2.109158x-1.807448x-2.109158x2.11x1.000000x1.000000x1.000000x94-2.514653x-1.855777x-2.514653x2.51x1.000000x1.000000x1.000000x3313-11.381870x-1.000000x-11.381870x11.38x1.000000x1.722913x1.000000x701

Sectors by Neighborhood in Orlando

There are 120 neighborhoods in Orlando. This section compares Lake Davis-Greenwood to all of the neighborhoods in Orlando and to those entities that contain or substantially overlap with Lake Davis-Greenwood.

Private Sector by Neighborhood#6

Percentage of the civilian employed population aged 16 and older.
Scope: population of Lake Davis-Greenwood, selected other neighborhoods in Orlando, and entities that contain Lake Davis-Greenwood
0%20%40%60%80%Count#Rock Lake NeighborhoodRock LakeWestfield NeighborhoodWestfieldHaralson Estates NeighborhoodHaralson EstsLorna Doone NeighborhoodLorna Doone33rd St. Industrial Neighborhood33rd St. IndMillenia NeighborhoodMilleniaFlorida Center North NeighborhoodFlorida Ctr NPark Central NeighborhoodPark CentralKirkman South NeighborhoodKirkman SouthLake Frendrica NeighborhoodLk FrendricaLake Richmond NeighborhoodLake RichmondSouth Division NeighborhoodS DivisionKirkman North NeighborhoodKirkman NorthWindhover NeighborhoodWindhoverCrescent Park NeighborhoodCrescent ParkEagles Nest NeighborhoodEagles NestEngelwood Park NeighborhoodEngelwood PkBoggy Creek NeighborhoodBoggy CreekHolden Heights NeighborhoodHolden HtsCountryside NeighborhoodCountrysideAzalea Park NeighborhoodAzalea ParkBryn Mawr NeighborhoodBryn MawrAirport North NeighborhoodAirport NorthSouth Semoran NeighborhoodSouth SemoranTaft NeighborhoodTaftHibiscus NeighborhoodHibiscusCallahan NeighborhoodCallahanLake Dot NeighborhoodLake DotCarver Shores NeighborhoodCarver ShoresRio Grande Park NeighborhoodRio Grande PkMetro West NeighborhoodMetro WestThe Willows NeighborhoodThe WillowsVentura NeighborhoodVenturaOrlandoPineloch NeighborhoodPinelochOrange CountyOrangeOrange County School DistrictOrange CountySouthern Oaks NeighborhoodSouthern OaksVista East NeighborhoodVista EastOrlando, Kissimmee, and Sanford Metro AreaOrlando AreaRichmond Heights NeighborhoodRichmond HtsLake Davis-Greenwood NeighborhoodLk Davis-Greenw…Lake Mann Estates NeighborhoodLk Mann EstsLake Formosa NeighborhoodLake FormosaLake Nona Estates NeighborhoodLk Nona EstsFloridaLake Copeland NeighborhoodLake CopelandSouthUnited States of AmericaUnited StatesLaVina NeighborhoodLaVinaSouth AtlanticRowena Gardens NeighborhoodRowena GdnsCollege Park NeighborhoodCollege ParkLake Fairview NeighborhoodLake FairviewLake Shore Village NeighborhoodLk Shr VlgPalomar NeighborhoodPalomar89.128631%89.128631%89.1%483484189.128631%89.128631%89.1%4344389.128631%89.128631%89.1%140289.090120%89.090120%89.1%183184486.360513%86.360513%86.4%806585.890108%85.890108%85.9%3,5173,518685.374560%85.374560%85.4%4,767784.387483%84.387483%84.4%1,273883.610871%83.610871%83.6%1,7691,770983.551398%83.551398%83.6%2,5511083.388315%83.388315%83.4%2711182.827670%82.827670%82.8%21282.651253%82.651253%82.7%3,0713,0721382.611465%82.611465%82.6%1,1481,1491481.993392%81.993392%82.0%2541581.946456%81.946456%81.9%3611681.832613%81.832613%81.8%3,0301781.420578%81.420578%81.4%5915921881.118808%81.118808%81.1%1,5341980.969031%80.969031%81.0%3193202080.778612%80.778612%80.8%4,5924,5932180.704178%80.704178%80.7%1,1221,1232280.521324%80.521324%80.5%3,0623,0632380.472360%80.472360%80.5%3,0303,0312480.184050%80.184050%80.2%9432580.125422%80.125422%80.1%1192680.097461%80.097461%80.1%7882780.097461%80.097461%80.1%3433442880.096238%80.096238%80.1%5922979.126731%79.126731%79.1%3873883078.917097%78.917097%78.9%9,0903378.841310%78.841310%78.8%2402413477.631354%77.631354%77.6%9984277.226151%77.226151%77.2%108,451108k76.138683%76.138683%76.1%6345175.552633%75.552633%75.6%468,792469k75.552633%75.552633%75.6%468,792469k75.230083%75.230083%75.2%2765973.931674%73.931674%73.9%3,5446373.751158%73.751158%73.8%810,745811k73.428993%73.428993%73.4%8718726772.998889%72.998889%73.0%5407372.665006%72.665006%72.7%2852867671.127331%71.127331%71.1%2182198470.404527%70.404527%70.4%889269.750830%69.750830%69.8%6,106,9836.11M69.537893%69.537893%69.5%16210168.525307%68.525307%68.5%36,946,44136.9M68.253043%68.253043%68.3%101,015,409101M68.201356%68.201356%68.2%47247310967.342861%67.342861%67.3%19,134,68219.1M65.575448%65.575448%65.6%11811464.130488%64.130488%64.1%4,13011561.943213%61.943213%61.9%4511661.722080%61.722080%61.7%10410511761.703536%61.703536%61.7%389118

Private Income by Neighborhood#14

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of Lake Davis-Greenwood, selected other neighborhoods in Orlando, and entities that contain Lake Davis-Greenwood
$0k$20k$40k%Count#Lake Eola Heights NeighborhoodLk Eola HtsSouth Eola NeighborhoodSouth EolaRose Isle NeighborhoodRose IsleRowena Gardens NeighborhoodRowena GdnsFlorida Center NeighborhoodFlorida CtrCollege Park NeighborhoodCollege ParkThornton Park NeighborhoodThornton ParkOrwin Manor NeighborhoodOrwin ManorCallahan NeighborhoodCallahanLake Dot NeighborhoodLake DotLake Underhill NeighborhoodLk UnderhillDover Shores West NeighborhoodDover Shrs WPalomar NeighborhoodPalomarLake Shore Village NeighborhoodLk Shr VlgLake Fairview NeighborhoodLake FairviewLake Cherokee NeighborhoodLake CherokeeCentral Business District NeighborhoodCntrl Business DistLake Davis-Greenwood NeighborhoodLk Davis-Greenw…East Park NeighborhoodEast ParkLaVina NeighborhoodLaVinaRandal Park NeighborhoodRandal ParkBal Bay NeighborhoodBal BayLake Formosa NeighborhoodLake FormosaPark Lake-Highland NeighborhoodPk Lk-HighlandLawsona-Fern Creek NeighborhoodLawsona-Fern CrkEast Central Park NeighborhoodE Cntrl PkLake Como NeighborhoodLake ComoColonialtown South NeighborhoodColonialtown SAzalea Park NeighborhoodAzalea ParkOrlando Executive Airport NeighborhoodOrlando Executive …Lake Nona Central NeighborhoodLk Nona CntrlLancaster Park NeighborhoodLancaster PkColonial Town Center NeighborhoodColonial Town CtrUnited States of AmericaUnited StatesSouth AtlanticSouthVista East NeighborhoodVista EastOrlando, Kissimmee, and Sanford Metro AreaOrlando AreaFloridaOrlandoOrange CountyOrangeOrange County School DistrictOrange CountyMetro West NeighborhoodMetro WestKirkman South NeighborhoodKirkman SouthThe Willows NeighborhoodThe WillowsAzalea Park NeighborhoodAzalea ParkEngelwood Park NeighborhoodEngelwood Pk33rd St. Industrial Neighborhood33rd St. IndHibiscus NeighborhoodHibiscusWedgewood Groves NeighborhoodWedgewood GrvsRio Grande Park NeighborhoodRio Grande PkCatalina NeighborhoodCatalinaMalibu Groves NeighborhoodMalibu GrovesTimberleaf NeighborhoodTimberleafNew Malibu NeighborhoodNew Malibu$56,168.000000$56,168.000000$56.2k71.128%71.1%1,1601,1611$56,168.000000$56,168.000000$56.2k71.128%71.1%1,0801,0812$55,556.000000$55,556.000000$55.6k65.575%65.6%1263$55,556.000000$55,556.000000$55.6k65.575%65.6%1184$54,784.006670$54,784.006670$54.8k73.862%73.9%4305$54,773.027120$54,773.027120$54.8k64.130%64.1%4,1306$54,759.824305$54,759.824305$54.8k71.444%71.4%3327$54,697.714759$54,697.714759$54.7k66.817%66.8%3028$54,568.000000$54,568.000000$54.6k80.097%80.1%7889$54,568.000000$54,568.000000$54.6k80.097%80.1%34334410$54,127.000000$54,127.000000$54.1k73.151%73.2%95695711$54,127.000000$54,127.000000$54.1k73.151%73.2%49449512$54,108.471310$54,108.471310$54.1k61.704%61.7%38913$53,906.000000$53,906.000000$53.9k61.722%61.7%10410514$53,784.222938$53,784.222938$53.8k61.943%61.9%4515$53,553.691269$53,553.691269$53.6k73.712%73.7%46446516$53,212.200057$53,212.200057$53.2k77.743%77.7%1,4901,49117$52,955.260768$52,955.260768$53.0k72.999%73.0%54018$52,354.000000$52,354.000000$52.4k68.201%68.2%60119$52,354.000000$52,354.000000$52.4k68.201%68.2%47247320$52,354.000000$52,354.000000$52.4k68.201%68.2%9921$52,354.000000$52,354.000000$52.4k68.201%68.2%0122$50,712.471358$50,712.471358$50.7k71.127%71.1%21821923$50,666.000000$50,666.000000$50.7k71.167%71.2%44044124$50,373.291161$50,373.291161$50.4k73.271%73.3%1,00525$50,000.000000$50,000.000000$50.0k73.541%73.5%62226$49,406.000000$49,406.000000$49.4k68.511%68.5%94494527$48,667.000000$48,667.000000$48.7k71.662%71.7%56256328$48,667.000000$48,667.000000$48.7k71.662%71.7%18919029$48,667.000000$48,667.000000$48.7k71.662%71.7%5030$48,413.000000$48,413.000000$48.4k70.405%70.4%37938034$47,596.000000$47,596.000000$47.6k69.538%69.5%17242$43,435.495303$43,435.495303$43.4k70.697%70.7%41841951$42,182.000000$42,182.000000$42.2k68.253%68.3%101,015,409101M$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$38,751.559035$38,751.559035$38.8k73.932%73.9%3,54457$36,590.000000$36,590.000000$36.6k73.751%73.8%810,745811k$36,558.000000$36,558.000000$36.6k69.751%69.8%6,106,9836.11M$36,383.000000$36,383.000000$36.4k77.226%77.2%108,451108k$36,261.000000$36,261.000000$36.3k75.553%75.6%468,792469k$36,261.000000$36,261.000000$36.3k75.553%75.6%468,792469k$35,662.962744$35,662.962744$35.7k78.917%78.9%9,09059$31,635.709086$31,635.709086$31.6k83.611%83.6%1,7691,77067$30,129.000000$30,129.000000$30.1k78.841%78.8%24024176$29,273.803097$29,273.803097$29.3k80.779%80.8%4,5924,59382$28,840.726127$28,840.726127$28.8k81.833%81.8%3,03084$27,130.530352$27,130.530352$27.1k86.361%86.4%80692$26,033.000000$26,033.000000$26.0k80.125%80.1%119101$24,384.214305$24,384.214305$24.4k78.813%78.8%286109$23,198.000000$23,198.000000$23.2k79.127%79.1%387388114$23,198.000000$23,198.000000$23.2k79.127%79.1%241115$22,009.492051$22,009.492051$22.0k76.651%76.7%399116$21,623.000000$21,623.000000$21.6k77.140%77.1%804805117$21,623.000000$21,623.000000$21.6k77.140%77.1%115116118

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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