Industries in Lake Bonnet, Lakeland, Florida (Neighborhood)

Industry#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Lakeland and Lake Bonnet
Lake Bonnet
Lakeland
0%5%10%15%CountHospitalityRetailHealthcare1Administrative2Real estateAgriculture3ConstructionUtilitiesEducationTransportationEntertainment4Government5WholesalersManufacturingOther ServicesFinance & InsuranceOil & Gas, and MiningOil & Gas, and Mi…InformationProfessional6Management716.528926%7.968049%16.528926%16.5%262715.289256%15.960601%15.289256%15.3%242511.294766%13.353588%11.294766%11.3%189.228650%6.174503%9.228650%9.2%14157.851240%2.109622%7.851240%7.9%12137.162534%0.987430%7.162534%7.2%116.060606%5.841276%6.060606%6.1%9105.647383%0.541494%5.647383%5.6%95.234160%10.116875%5.234160%5.2%83.994490%3.895818%3.994490%4.0%63.168044%2.428148%3.168044%3.2%52.754821%3.351873%2.754821%2.8%42.341598%3.496435%2.341598%2.3%341.515152%6.196555%1.515152%1.5%20.964187%4.819543%0.964187%1.0%120.964187%5.184623%0.964187%1.0%120.000000%0.000000%0.0%0.196016%00.000000%0.000000%0.0%1.631833%00.000000%0.000000%0.0%5.701615%00.000000%0.000000%0.0%0.044104%0
Count number of people employed in given industry
1Healthcare and social assistance 2Administrative, support, and waste management services 3Agriculture, forestry, fishing, and hunting 4Entertainment, arts, and recreation 5Government not otherwise classified 6Professional, scientific, and technical services 7Management of companies

Relative Industry#2

Percentage more or less common in Lake Bonnet than in Lakeland, among the civilian employed population aged 16 and older.
Scope: population of Lakeland and Lake Bonnet
Less Common
More Common
0%500%%ref.UtilitiesAgriculture1Real estateHospitalityAdministrative2Entertainment3ConstructionTransportationRetailHealthcare4Government5WholesalersEducationManufacturingOther ServicesFinance & InsuranceOil & Gas, and MiningOil & Gas, and Mi…InformationProfessional6Management7942.925969%942.925969%942.9%5.647%5.65%0.541%0.54%625.371012%625.371012%625.4%7.163%7.16%0.987%0.99%272.163350%272.163350%272.2%7.851%7.85%2.110%2.11%107.440050%107.440050%107.4%16.529%16.5%7.968%7.97%49.463848%49.463848%49.5%9.229%9.23%6.175%6.17%30.471628%30.471628%30.5%3.168%3.17%2.428%2.43%3.754830%3.754830%3.8%6.061%6.06%5.841%5.84%2.532789%2.532789%2.5%3.994%3.99%3.896%3.90%-4.206261%-4.206261%4.2%15.289%15.3%15.961%16.0%-15.417747%-15.417747%15.4%11.295%11.3%13.354%13.4%-17.812495%-17.812495%17.8%2.755%2.75%3.352%3.35%-33.028990%-33.028990%33.0%2.342%2.34%3.496%3.50%-48.263075%-48.263075%48.3%5.234%5.23%10.117%10.1%-75.548486%-75.548486%75.5%1.515%1.52%6.197%6.20%-79.994216%-79.994216%80.0%0.964%0.96%4.820%4.82%-81.402941%-81.402941%81.4%0.964%0.96%5.185%5.18%-100.000000%-100.000000%100.0%0.000%0%0.196%0.20%-100.000000%-100.000000%100.0%0.000%0%1.632%1.63%-100.000000%-100.000000%100.0%0.000%0%5.702%5.70%-100.000000%-100.000000%100.0%0.000%0%0.044%0.04%
% percentage of industry in Lake Bonnet
ref. percentage of industry in Lakeland
1Agriculture, forestry, fishing, and hunting 2Administrative, support, and waste management services 3Entertainment, arts, and recreation 4Healthcare and social assistance 5Government not otherwise classified 6Professional, scientific, and technical services 7Management of companies

Sex Ratio by Industry#3

Sex ratio by industry among the civilian employed population aged 16 and older.
Scope: population of Lakeland and Lake Bonnet
Female Male
Lakeland
Lake Bonnet
3x2x1x0x1x2x3xFMAgriculture1WholesalersAll IndustriesEntertainment2HospitalityReal estateUtilities-1.000000x-1.000000x-1.000000x3.000000x2.007463x3.000000x3.00x2389-1.000000x-1.000000x-1.000000x2.400000x2.506143x2.400000x2.40x123-1.000000x-1.000000x-1.000000x1.160714x1.061783x1.160714x1.16x7486-1.000000x-1.000000x-1.000000x1.090909x1.014228x1.090909x1.09x223-1.400000x-1.000000x-1.400000x1.40x1.000000x1.092664x1.000000x1511-2.000000x-1.000000x-2.000000x2.00x1.000000x1.327027x1.000000x84-2.416667x-1.000000x-2.416667x2.42x1.000000x6.129032x1.000000x623
F number of females employed in given industry
M number of males employed in given industry
1Agriculture, forestry, fishing, and hunting 2Entertainment, arts, and recreation

Part Timers by Industry#4

Part time and seasonal workers as a percentage of total workforce within an industry.
Scope: population of Lakeland and Lake Bonnet
Lake Bonnet
Lakeland
0%50%100%PartFullTransportationUtilitiesEntertainment1Agriculture2RetailReal estateAll IndustriesEducationOther ServicesAdministrative3Healthcare4HospitalityConstructionManufacturingWholesalersFinance & InsuranceGovernment5100.000000%25.597484%100.000000%100.0%6070.731707%4.524887%70.731707%70.7%62352.173913%29.566095%52.173913%52.2%23251.923077%8.933002%51.923077%51.9%565633.333333%34.924777%33.333333%33.3%81633.333333%38.211382%33.333333%33.3%4825.482094%28.917257%25.482094%25.5%404111912018.421053%28.772100%18.421053%18.4%126714.285714%35.892222%14.285714%14.3%0113.432836%41.706349%13.432836%13.4%12121313.414634%27.761468%13.414634%13.4%215163.333333%46.525215%3.333333%3.3%0125260.000000%0.000000%0.0%26.719799%09100.000000%0.000000%0.0%17.200474%020.000000%0.000000%0.0%19.551507%0340.000000%0.000000%0.0%11.531191%0120.000000%0.000000%0.0%5.190058%04
Part number of part time workers employed in given industry
Full number of full time workers employed in given industry
1Entertainment, arts, and recreation 2Agriculture, forestry, fishing, and hunting 3Administrative, support, and waste management services 4Healthcare and social assistance 5Government not otherwise classified 6Professional, scientific, and technical services 7Management of companies

Median Income by Industry#5

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Lakeland and Lake Bonnet
Lake Bonnet
Lakeland
$0k$10k$20k$30k$40k%CountRetailAll IndustriesHospitalityHealthcare1$42,778.000000$32,205.000000$42,778.000000$42.8k15.289%15.3%2425$26,903.000000$37,160.000000$26,903.000000$26.9k100.000%100%160$25,815.000000$24,720.000000$25,815.000000$25.8k16.529%16.5%2627$12,375.000000$38,890.000000$12,375.000000$12.4k11.295%11.3%18
% percent of the workforce employed in given industry
Count number of people employed in given industry
1Healthcare and social assistance 2Agriculture, forestry, fishing, and hunting 3Professional, scientific, and technical services 4Management of companies 5Administrative, support, and waste management services 6Entertainment, arts, and recreation 7Government not otherwise classified

Industries by Neighborhood in Lakeland

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

Agriculture1 Industry by Neighborhood#6

Percentage of the civilian employed population aged 16 and older.
Scope: population of Lake Bonnet, selected other neighborhoods in Lakeland, and entities that contain Lake Bonnet
0%2%4%6%Count#011000Tract 011000Lake Bonnet NeighborhoodLake BonnetNorth Lake Wire NeighborhoodN Lk WireCamphor NeighborhoodCamphorBeacon Hill NeighborhoodBeacon HillSouthwest NeighborhoodSouthwestParker Street NeighborhoodParker StreetJewel Avenue NeighborhoodJewel AvenueImperial NeighborhoodImperialZIP Code 33815ZIP 33815Cleveland Heights NeighborhoodCleveland HtsEdgewood NeighborhoodEdgewoodLakeland and Winter Haven Metro AreaLakeland AreaPolk CountyPolkPolk County School DistrictPolk CountyTigertown NeighborhoodTigertownN Martha NeighborhoodN MarthaLake Parker Park NeighborhoodLk Parker PkSwannanoa NeighborhoodSwannanoaUnited States of AmericaUnited StatesKathleen NeighborhoodKathleenEast Lake Morton NeighborhoodE Lk MortonLake Hollingsworth NeighborhoodLk HollingsworthSouthLakelandFloridaSouth AtlanticLake Watkins NeighborhoodLake WatkinsCrystal Lake NeighborhoodCrystal LakeDowntown NeighborhoodDowntownDixieland NeighborhoodDixielandLake Bonny NeighborhoodLake BonnyShore Acres NeighborhoodShore AcresEdgewater Beach NeighborhoodEdgewater BchLake Bonny Park NeighborhoodLk Bonny PkLime Street NeighborhoodLime StreetLakeshore NeighborhoodLakeshoreWebster Park North NeighborhoodWebster Pk NLake Somerset NeighborhoodLake SomersetSouth Lake Morton NeighborhoodS Lk MortonPaul A. Diggs NeighborhoodPaul A. DiggsFlorida Southern College NeighborhoodFlorida S CollegeWestgate NeighborhoodWestgateCentral Avenue NeighborhoodCntrl AveLake Horney NeighborhoodLake HorneyWebster Park South NeighborhoodWebster Pk SLake Beulah NeighborhoodLake BeulahJohn Cox NeighborhoodJohn CoxLake Hunter Terrace NeighborhoodLk Hunter TerRaintree NeighborhoodRaintreePinehurst NeighborhoodPinehurstJefferson Ave NeighborhoodJefferson AveFrancis Blvd NeighborhoodFrancis BlvdOrangewood NeighborhoodOrangewoodCleveland Heights Golf Course NeighborhoodCleveland Hts Golf …Watson NeighborhoodWatsonValencia Heights NeighborhoodValencia HtsHarmony Hills NeighborhoodHarmony Hills7.162534%7.162534%7.2%527.162534%7.162534%7.2%1115.903336%5.903336%5.9%1825.861244%5.861244%5.9%272835.861244%5.861244%5.9%91044.511124%4.511124%4.5%515253.793551%3.793551%3.8%2063.321879%3.321879%3.3%972.464986%2.464986%2.5%1482.232925%2.232925%2.2%1022.228412%2.228412%2.2%1792.194434%2.194434%2.2%1011101.992998%1.992998%2.0%5,0381.992998%1.992998%2.0%5,0381.992998%1.992998%2.0%5,0381.828571%1.828571%1.8%3111.828571%1.828571%1.8%1121.828571%1.828571%1.8%0131.828571%1.828571%1.8%3141.326306%1.326306%1.3%1,962,9511.96M1.274622%1.274622%1.3%6151.157043%1.157043%1.2%34161.140115%1.140115%1.1%16171.020426%1.020426%1.0%550,178550k0.987430%0.987430%1.0%4030.978079%0.978079%1.0%85,63585.6k0.923262%0.923262%0.9%262,334262k0.889052%0.889052%0.9%89180.677427%0.677427%0.7%1415190.632729%0.632729%0.6%12200.558595%0.558595%0.6%5210.302480%0.302480%0.3%1220.302480%0.302480%0.3%01230.302480%0.302480%0.3%0240.302480%0.302480%0.3%0250.302480%0.302480%0.3%0260.057528%0.057528%0.1%0270.000000%0.000000%0.0%0280.000000%0.000000%0.0%0290.000000%0.000000%0.0%0300.000000%0.000000%0.0%0310.000000%0.000000%0.0%0320.000000%0.000000%0.0%0330.000000%0.000000%0.0%0340.000000%0.000000%0.0%0350.000000%0.000000%0.0%0360.000000%0.000000%0.0%0370.000000%0.000000%0.0%0380.000000%0.000000%0.0%0390.000000%0.000000%0.0%0400.000000%0.000000%0.0%0410.000000%0.000000%0.0%0420.000000%0.000000%0.0%0430.000000%0.000000%0.0%0440.000000%0.000000%0.0%0450.000000%0.000000%0.0%0460.000000%0.000000%0.0%0470.000000%0.000000%0.0%048
1Agriculture, forestry, fishing, and hunting

Retail Income by Neighborhood#26

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of Lake Bonnet, selected other neighborhoods in Lakeland, and entities that contain Lake Bonnet
$0k$50k%Count#South Lake Morton NeighborhoodS Lk MortonDowntown NeighborhoodDowntownJohn Cox NeighborhoodJohn CoxWatson NeighborhoodWatsonLakeshore NeighborhoodLakeshoreTigertown NeighborhoodTigertownSwannanoa NeighborhoodSwannanoaN Martha NeighborhoodN MarthaLake Parker Park NeighborhoodLk Parker Pk011000Tract 011000Lake Bonnet NeighborhoodLake BonnetLake Watkins NeighborhoodLake WatkinsLake Hollingsworth NeighborhoodLk HollingsworthNorth Lake Wire NeighborhoodN Lk WireWestgate NeighborhoodWestgateCentral Avenue NeighborhoodCntrl AveUnited States of AmericaUnited StatesZIP Code 33815ZIP 33815LakelandLakeland and Winter Haven Metro AreaLakeland AreaPolk CountyPolkPolk County School DistrictPolk CountySouth AtlanticImperial NeighborhoodImperialLake Somerset NeighborhoodLake SomersetRaintree NeighborhoodRaintreeCleveland Heights Golf Course NeighborhoodCleveland Hts Golf …SouthFloridaShore Acres NeighborhoodShore AcresLime Street NeighborhoodLime StreetLake Bonny NeighborhoodLake BonnyEdgewater Beach NeighborhoodEdgewater BchLake Bonny Park NeighborhoodLk Bonny PkLake Hunter Terrace NeighborhoodLk Hunter TerLake Beulah NeighborhoodLake BeulahDixieland NeighborhoodDixielandEast Lake Morton NeighborhoodE Lk MortonParker Street NeighborhoodParker StreetSouthwest NeighborhoodSouthwestCrystal Lake NeighborhoodCrystal LakeEdgewood NeighborhoodEdgewoodCleveland Heights NeighborhoodCleveland HtsCamphor NeighborhoodCamphorBeacon Hill NeighborhoodBeacon HillKathleen NeighborhoodKathleenJewel Avenue NeighborhoodJewel AvenueWebster Park South NeighborhoodWebster Pk SPaul A. Diggs NeighborhoodPaul A. DiggsLake Horney NeighborhoodLake HorneyFlorida Southern College NeighborhoodFlorida S CollegeJefferson Ave NeighborhoodJefferson AveFrancis Blvd NeighborhoodFrancis BlvdWebster Park North NeighborhoodWebster Pk NPinehurst NeighborhoodPinehurstOrangewood NeighborhoodOrangewoodValencia Heights NeighborhoodValencia HtsHarmony Hills NeighborhoodHarmony Hills$76,394.365743$76,394.365743$76.4k15.306%15.3%1461$66,786.406139$66,786.406139$66.8k14.600%14.6%39402$55,500.000000$55,500.000000$55.5k18.182%18.2%38393$55,500.000000$55,500.000000$55.5k18.182%18.2%54$55,360.838059$55,360.838059$55.4k18.030%18.0%725$44,875.000000$44,875.000000$44.9k13.371%13.4%23246$44,875.000000$44,875.000000$44.9k13.371%13.4%24257$44,875.000000$44,875.000000$44.9k13.371%13.4%9108$44,875.000000$44,875.000000$44.9k13.371%13.4%239$42,778.000000$42,778.000000$42.8k15.289%15.3%111$42,778.000000$42,778.000000$42.8k15.289%15.3%242510$39,277.715561$39,277.715561$39.3k12.540%12.5%12512611$38,066.429587$38,066.429587$38.1k14.448%14.4%20620712$37,055.214303$37,055.214303$37.1k12.423%12.4%3813$33,586.000000$33,586.000000$33.6k18.719%18.7%707114$33,586.000000$33,586.000000$33.6k18.719%18.7%6615$33,154.000000$33,154.000000$33.2k11.505%11.5%17,027,85317.0M$32,417.000000$32,417.000000$32.4k19.418%19.4%887$32,205.000000$32,205.000000$32.2k15.961%16.0%6,514$32,062.000000$32,062.000000$32.1k15.108%15.1%38,19238.2k$32,062.000000$32,062.000000$32.1k15.108%15.1%38,19238.2k$32,062.000000$32,062.000000$32.1k15.108%15.1%38,19238.2k$31,715.000000$31,715.000000$31.7k11.912%11.9%3,384,7463.38M$31,518.000000$31,518.000000$31.5k8.739%8.74%495016$31,429.000000$31,429.000000$31.4k11.447%11.4%14514617$31,429.000000$31,429.000000$31.4k11.447%11.4%343518$31,429.000000$31,429.000000$31.4k11.447%11.4%91019$31,222.000000$31,222.000000$31.2k11.859%11.9%6,393,7086.39M$30,999.000000$30,999.000000$31.0k13.343%13.3%1,168,2701.17M$30,779.000000$30,779.000000$30.8k23.170%23.2%6320$30,779.000000$30,779.000000$30.8k23.170%23.2%421$30,779.000000$30,779.000000$30.8k23.170%23.2%10022$30,779.000000$30,779.000000$30.8k23.170%23.2%2523$30,779.000000$30,779.000000$30.8k23.170%23.2%2424$30,400.000000$30,400.000000$30.4k20.251%20.3%434425$30,400.000000$30,400.000000$30.4k20.251%20.3%4726$30,031.821640$30,031.821640$30.0k20.487%20.5%19019127$29,006.403873$29,006.403873$29.0k19.726%19.7%646528$28,657.755095$28,657.755095$28.7k9.769%9.77%525329$28,077.474632$28,077.474632$28.1k17.167%17.2%19630$27,350.520209$27,350.520209$27.4k18.113%18.1%39339431$26,390.215753$26,390.215753$26.4k18.279%18.3%8832$26,316.000000$26,316.000000$26.3k18.384%18.4%14014133$25,951.000000$25,951.000000$26.0k22.727%22.7%10834$25,951.000000$25,951.000000$26.0k22.727%22.7%3735$25,750.000000$25,750.000000$25.8k20.288%20.3%9636$25,750.000000$25,750.000000$25.8k26.804%26.8%767737$25,341.000000$25,341.000000$25.3k24.009%24.0%7038$24,460.550479$24,460.550479$24.5k17.638%17.6%11539$24,063.000000$24,063.000000$24.1k24.608%24.6%969740$24,063.000000$24,063.000000$24.1k24.608%24.6%10911041$24,063.000000$24,063.000000$24.1k24.608%24.6%3042$24,063.000000$24,063.000000$24.1k24.608%24.6%2043$22,153.000000$22,153.000000$22.2k12.535%12.5%10244$22,153.000000$22,153.000000$22.2k12.062%12.1%131445$22,153.000000$22,153.000000$22.2k12.062%12.1%7846$22,153.000000$22,153.000000$22.2k12.062%12.1%1247$22,153.000000$22,153.000000$22.2k12.062%12.1%1248
% percent of the workforce employed in given industry
Count number of people employed in given industry
# rank of neighborhood out of 48 by income in given industry

Definitions

An industry describe the kind of business conducted by a person’s employing organization. On this page, all employed persons are categorized as working in one of the following industries (bolded terms are used in the charts and maps on this page):

  • Agriculture, forestry, fishing and hunting, and mining:
    • Agriculture: Agriculture, forestry, fishing and hunting
    • Oil & Gas, and Mining: Mining, quarrying, and oil and gas extraction
  • Construction: Construction
  • Manufacturing: Manufacturing
  • Wholesalers: Wholesale trade
  • Retail: Retail trade
  • Transportation and warehousing, and utilities:
    • Transportation: Transportation and warehousing
    • Utilities: Utilities
  • Information: Information
  • Finance and insurance, and real estate and rental and leasing:
    • Finance & Insurance: Finance and insurance
    • Real estate: Real estate and rental and leasing
  • Professional, scientific, and management, and administrative and waste management services:
    • Professional: Professional, scientific, and technical services
    • Management: Management of companies and enterprises
    • Administrative: Administrative and support and waste management services
  • Educational services, and health care and social assistance:
    • Education: Educational services
    • Healthcare: Health care and social assistance
  • Arts, entertainment, and recreation, and accommodation and food services:
    • Entertainment: Arts, entertainment, and recreation
    • Hospitality: Accommodation and food services
  • Other Services: Other services, except public administration
  • Government: Public administration

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:
33815
Unified School District:
Polk County
Congressional District:
FL-15
State Senate District:
FL-22
State House District:
FL-40
Neighboring Neighborhoods:
Downtown, Jewel Avenue, Kathleen, North Lake Wire, Webster Park South, Westgate
Nearby Neighborhoods:
Central Avenue, East Lake Morton, Harmony Hills, John Cox, Lake Beulah, Lake Hunter Terrace, Orangewood, Parker Street, Paul A. Diggs, Watson