Educational Attainment in Lake Bonny, Lakeland, Florida (Neighborhood)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Lakeland and Lake Bonny
Lake Bonny
Lakeland
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma221.709531%34.819975%21.709531%21.7%15062.027231%53.373497%62.027231%62.0%42943016.263238%11.806527%16.263238%16.3%112113
Count number of people in category
1Post-Secondary Degree 2H.S. = High School

Relative Educational Attainment#2

Highest level of education among people aged 25 years and older, as percentage more or less than Lakeland at large.
Scope: population of Lakeland and Lake Bonny
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-37.652078%-37.652078%-37.7%21.710%21.7%34.820%34.8%16.213541%16.213541%+16.2%62.027%62.0%53.373%53.4%37.747852%37.747852%+37.7%16.263%16.3%11.807%11.8%
% percentage with given level in Lake Bonny
ref. percentage with given level in Lakeland
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment#3

Highest level of education among people aged 25 years and older.
Scope: population of Lakeland and Lake Bonny
Lake Bonny
Lakeland
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.886560%00.189107%1.329127%0.189107%0.2%13.555219%7.266653%3.555219%3.6%24259.039334%16.366388%9.039334%9.0%62638.925870%8.971247%8.925870%8.9%616222.314675%19.582846%22.314675%22.3%15415539.712557%33.790652%39.712557%39.7%27511.762481%7.565029%11.762481%11.8%81823.328290%2.962339%3.328290%3.3%231.172466%1.279159%1.172466%1.2%8
Count number of people in category
1Degree 2Diploma or equivialent 3H.S. = High School

Detailed Relative Educational Attainment#4

Highest level of education among people aged 25 years and older, as percentage more or less than Lakeland at large.
Scope: population of Lakeland and Lake Bonny
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-100.000000%-100.000000%-100.0%0.000%0%0.887%0.89%-85.772054%-85.772054%-85.8%0.189%0.19%1.329%1.33%-51.074873%-51.074873%-51.1%3.555%3.56%7.267%7.27%-44.768910%-44.768910%-44.8%9.039%9.04%16.366%16.4%-0.505811%-0.505811%-0.5%8.926%8.93%8.971%8.97%13.950113%13.950113%+14.0%22.315%22.3%19.583%19.6%17.525276%17.525276%+17.5%39.713%39.7%33.791%33.8%55.484950%55.484950%+55.5%11.762%11.8%7.565%7.57%12.353462%12.353462%+12.4%3.328%3.33%2.962%2.96%-8.340903%-8.340903%-8.3%1.172%1.17%1.279%1.28%
% percentage with given level in Lake Bonny
ref. percentage with given level in Lakeland
1Degree 2Diploma or equivialent 3H.S. = High School

Educational Attainment Sex Ratio#5

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Lakeland and Lake Bonny
More Females More Males
Lakeland
Lake Bonny
20%0%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-1.449369%-3.276324%-1.449369%1%21.849%21.8%21.537%21.5%-2.671586%7.019177%7.019177%7%60.137%60.1%64.358%64.4%-27.713887%-27.713887%28%23.756813%18.014%18.0%14.105%14.1%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment Sex Ratio#6

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Lakeland and Lake Bonny
More Females More Males
Lakeland
Lake Bonny
0%500%1,000%FMProfessional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1,000.000000%56.624547%1,000.000000%> 1000%0.000%0%0.422%0.42%-17.007213%138.914696%138.914696%139%2.192%2.19%5.236%5.24%-16.678781%-16.678781%17%10.287799%9.658%9.66%8.277%8.28%-31.555556%-35.165530%-31.555556%32%10.000%10.0%7.601%7.60%-11.833849%-4.642301%-11.833849%12%23.425%23.4%20.946%20.9%-1.548001%18.249546%18.249546%18%36.712%36.7%43.412%43.4%-54.612726%-54.612726%55%18.810899%13.973%14.0%9.037%9.04%12.588132%29.035707%12.588132%13%3.151%3.15%3.547%3.55%70.738046%43.107389%70.738046%71%0.890%0.89%1.520%1.52%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Degree 2Diploma or equivialent 3H.S. = High School

Bachelor's Degrees By Age#7

Percentage of age cohort whose highest degree is a Bachelor's.
Scope: population of Lakeland and Lake Bonny
Lake Bonny
Lakeland
0%5%10%15%B.X.Total65+45-6435-4425-3410.906040%12.534224%10.906040%10.9%171566.063433%16.649388%6.063433%6.1%1728028119.021739%19.264643%19.021739%19.0%18966.414474%19.665800%6.414474%6.4%10159
B.X. number of people with a Bachelor's degree
Total number of people in age cohort

Relative Bachelor's Degrees By Age#8

Percentage of population whose highest degree is a Bachelor's, as a percentage more or less than Lakeland at large.
Scope: population of Lakeland and Lake Bonny
60%50%40%30%20%10%0%%ref.65+45-6435-4425-34-12.989907%-12.989907%13.0%10.906%10.9%12.534%12.5%-63.581648%-63.581648%63.6%6.063%6.06%16.649%16.6%-1.260879%-1.260879%1.3%19.022%19.0%19.265%19.3%-67.382594%-67.382594%67.4%6.414%6.41%19.666%19.7%
% percentage in Lake Bonny with a Bachelor's degree
ref percentage in Lakeland with a Bachelor's degree

Bachelor's Degrees Sex Ratio By Age#9

Percentage more likely men or women are to have their highest degree be a Bachelor's.
Scope: population of Lakeland and Lake Bonny
More Females More Males
Lakeland
Lake Bonny
60%40%20%0%20%40%60%FM65+45-6435-4425-346.896552%33.059212%6.896552%6.9%10.484%10.5%11.207%11.2%-61.715341%-61.715341%61.7%16.512877%7.100%7.10%4.390%4.39%-68.274674%-68.274674%68.3%16.683438%22.176%22.2%13.178%13.2%-32.254855%67.542088%67.542088%67.5%4.823%4.82%8.081%8.08%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of Lakeland and Lake Bonny
Lake Bonny
Lakeland
$0k$20k$40kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$34,726.000000$50,052.000000$34,726.000000$34.7k25263.744%3.74%$41,071.000000$42,498.000000$41,071.000000$41.1k62639.039%9.04%$23,953.000000$30,779.000000$23,953.000000$24.0k21631.241%31.2%$20,196.000000$25,069.000000$20,196.000000$20.2k27539.713%39.7%$23,263.000000$31,560.000000$23,263.000000$23.3k692693100.000%100%
Count number of people with given highest level of educational attainment
% percentage of people with given highest level of educational attainment
1or professional degree 2H.S. = High School

Median Earnings by Educational Attainment#11

By sex among population 25 years old and over with earnings.
Scope: population of Lakeland and Lake Bonny
Female Male
Lakeland
Lake Bonny
Shaded bar tips show excess over facing bar.
$20k$0k$20k$40kFMBachelor's DegreeSome CollegeH.S. Diploma2Total$-38,750.000000$-37,442.000000$-38,750.000000$38.8k$38,750.000000$12,625.000000$37,442.000000$14,063.000000$51,375.000000$51.4k36372526$-21,080.000000$-27,566.000000$-21,080.000000$21.1k$21,080.000000$4,802.000000$27,566.000000$6,653.000000$25,882.000000$25.9k1271288889$-16,823.000000$-23,579.000000$-16,823.000000$16.8k$16,823.000000$6,220.000000$23,579.000000$3,438.000000$23,043.000000$23.0k140134135$-21,495.000000$-28,161.000000$-21,495.000000$21.5k$21,495.000000$3,205.000000$28,161.000000$7,601.000000$24,700.000000$24.7k382383310
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Employment by Educational Attainment#12

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Lakeland and Lake Bonny
Lake Bonny
Lakeland
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma387.644788%80.400151%87.644788%87.6%5964.389535%66.984582%64.389535%64.4%11661.188369%62.897397%61.188369%61.2%12612747.741935%52.047371%47.741935%47.7%3839
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#13

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Lakeland and Lake Bonny
Female Male
Lakeland
Lake Bonny
Shaded bar tips show excess over facing bar.
0%50%100%MFWhite1BlackAsianHispanic2Other1-8.375635%-4.475337%-8.225913%-12.850972%12.9%8.375635%8.225913%1.068902%8.375635%8.4%1731-9.389671%-13.971147%-9.389671%9.4%9.389671%6.519420%13.971147%2.653244%15.909091%15.9%95-46.875000%-7.360000%-14.750553%-46.875000%46.9%46.875000%53.125000%7.360000%100.000000%100.0%231112-30.102041%-18.356511%-30.102041%30.1%30.102041%9.897959%18.356511%10.027227%40.000000%40.0%141515-21.212121%-12.121212%-20.379147%-33.333333%33.3%21.212121%20.379147%5.784154%21.212121%21.2%125
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Lakeland and Lake Bonny
Female Male
Lakeland
Lake Bonny
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-14.038877%-27.081640%-14.038877%14.0%14.038877%5.250463%27.081640%4.813210%19.289340%19.3%394034-0.000000%-9.389671%-10.204878%-6.606056%-9.389671%9.4%0.000000%10.204878%0.000000%0.0%05-0.000000%-42.211055%0.000000%0.0%0.000000%0.000000%42.211055%3.068945%0.000000%0.0%00-9.285714%-2.448980%-15.765989%-3.374340%-11.734694%11.7%9.285714%15.765989%9.285714%9.3%36-0.000000%-13.333333%-21.949078%-11.415851%-13.333333%13.3%0.000000%21.949078%0.000000%0.0%02
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Educational Attainment by Neighborhood in Lakeland

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

No H.S. Diploma by Neighborhood#15

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Lake Bonny, selected other neighborhoods in Lakeland, and entities that contain Lake Bonny
0%10%20%30%Count#Jewel Avenue NeighborhoodJewel AvenueWebster Park South NeighborhoodWebster Pk SLake Bonnet NeighborhoodLake BonnetN Martha NeighborhoodN MarthaSwannanoa NeighborhoodSwannanoaTigertown NeighborhoodTigertownLake Parker Park NeighborhoodLk Parker PkNorth Lake Wire NeighborhoodN Lk WireKathleen NeighborhoodKathleenParker Street NeighborhoodParker StreetPaul A. Diggs NeighborhoodPaul A. DiggsZIP Code 33801ZIP 33801Crystal Lake NeighborhoodCrystal Lake010300Tract 010300Lake Bonny NeighborhoodLake BonnyShore Acres NeighborhoodShore AcresLake Bonny Park NeighborhoodLk Bonny PkEdgewater Beach NeighborhoodEdgewater BchLime Street NeighborhoodLime StreetLakeland and Winter Haven Metro AreaLakeland AreaPolk CountyPolkPolk County School DistrictPolk CountyWebster Park North NeighborhoodWebster Pk NCentral Avenue NeighborhoodCntrl AveWestgate NeighborhoodWestgateEast Lake Morton NeighborhoodE Lk MortonSouthPinehurst NeighborhoodPinehurstOrangewood NeighborhoodOrangewoodValencia Heights NeighborhoodValencia HtsHarmony Hills NeighborhoodHarmony HillsLakeshore NeighborhoodLakeshoreJohn Cox NeighborhoodJohn CoxWatson NeighborhoodWatsonUnited States of AmericaUnited StatesSouth AtlanticFloridaLake Beulah NeighborhoodLake BeulahLake Hunter Terrace NeighborhoodLk Hunter TerDixieland NeighborhoodDixielandLakelandDowntown NeighborhoodDowntownLake Somerset NeighborhoodLake SomersetCleveland Heights Golf Course NeighborhoodCleveland Hts Golf …Raintree NeighborhoodRaintreeSouth Lake Morton NeighborhoodS Lk MortonFlorida Southern College NeighborhoodFlorida S CollegeFrancis Blvd NeighborhoodFrancis BlvdLake Horney NeighborhoodLake HorneyJefferson Ave NeighborhoodJefferson AveCamphor NeighborhoodCamphorBeacon Hill NeighborhoodBeacon HillSouthwest NeighborhoodSouthwestImperial NeighborhoodImperialLake Hollingsworth NeighborhoodLk HollingsworthLake Watkins NeighborhoodLake WatkinsEdgewood NeighborhoodEdgewoodCleveland Heights NeighborhoodCleveland Hts31.933226%31.933226%31.9%193194129.508197%29.508197%29.5%196197226.552567%26.552567%26.6%119120326.158843%26.158843%26.2%3637626.158843%26.158843%26.2%94426.158843%26.158843%26.2%89526.158843%26.158843%26.2%910725.499577%25.499577%25.5%196823.649147%23.649147%23.6%247922.973471%22.973471%23.0%2501022.639611%22.639611%22.6%2832841121.612948%21.612948%21.6%4,71419.423201%19.423201%19.4%6091216.263238%16.263238%16.3%43016.263238%16.263238%16.3%1121131316.263238%16.263238%16.3%711416.263238%16.263238%16.3%271616.263238%16.263238%16.3%281516.263238%16.263238%16.3%451716.008618%16.008618%16.0%69,99470.0k16.008618%16.008618%16.0%69,99470.0k16.008618%16.008618%16.0%69,99470.0k14.807854%14.807854%14.8%2021814.465623%14.465623%14.5%94952014.465623%14.465623%14.5%1001011914.404208%14.404208%14.4%69702114.392758%14.392758%14.4%11,511,24211.5M14.098201%14.098201%14.1%262214.098201%14.098201%14.1%14152314.098201%14.098201%14.1%342414.098201%14.098201%14.1%342513.990775%13.990775%14.0%942613.533835%13.533835%13.5%482713.533835%13.533835%13.5%672813.020590%13.020590%13.0%27,818,38027.8M12.827640%12.827640%12.8%5,478,9325.48M12.824082%12.824082%12.8%1,807,3861.81M12.387651%12.387651%12.4%51523012.387651%12.387651%12.4%47482912.028195%12.028195%12.0%1981993111.806527%11.806527%11.8%8,27011.371520%11.371520%11.4%5354329.764992%9.764992%9.8%162163349.764992%9.764992%9.8%1011359.764992%9.764992%9.8%39338.605059%8.605059%8.6%139368.514577%8.514577%8.5%4546378.514577%8.514577%8.5%89388.514577%8.514577%8.5%4041398.514577%8.514577%8.5%1213408.410220%8.410220%8.4%67418.410220%8.410220%8.4%23428.336806%8.336806%8.3%156438.217220%8.217220%8.2%7374448.083434%8.083434%8.1%192193457.163805%7.163805%7.2%117118466.973836%6.973836%7.0%50476.936202%6.936202%6.9%798048
Count number of people in category
# rank of neighborhood out of 48 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Neighborhood#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Lake Bonny, selected other neighborhoods in Lakeland, and entities that contain Lake Bonny
0%10%20%30%40%Count#Lake Hollingsworth NeighborhoodLk HollingsworthLake Watkins NeighborhoodLake WatkinsImperial NeighborhoodImperialSouth Lake Morton NeighborhoodS Lk MortonFlorida Southern College NeighborhoodFlorida S CollegeLake Horney NeighborhoodLake HorneyJefferson Ave NeighborhoodJefferson AveFrancis Blvd NeighborhoodFrancis BlvdLake Somerset NeighborhoodLake SomersetCleveland Heights Golf Course NeighborhoodCleveland Hts Golf …Raintree NeighborhoodRaintreeDowntown NeighborhoodDowntownSouth AtlanticUnited States of AmericaUnited StatesSouthwest NeighborhoodSouthwestSouthFloridaLakelandEast Lake Morton NeighborhoodE Lk MortonEdgewood NeighborhoodEdgewoodCleveland Heights NeighborhoodCleveland HtsCamphor NeighborhoodCamphorBeacon Hill NeighborhoodBeacon HillLakeland and Winter Haven Metro AreaLakeland AreaPolk CountyPolkPolk County School DistrictPolk CountyDixieland NeighborhoodDixielandLake Beulah NeighborhoodLake BeulahLake Hunter Terrace NeighborhoodLk Hunter TerCrystal Lake NeighborhoodCrystal LakeZIP Code 33801ZIP 33801Swannanoa NeighborhoodSwannanoaN Martha NeighborhoodN MarthaLake Parker Park NeighborhoodLk Parker PkTigertown NeighborhoodTigertown010300Tract 010300Lake Bonny NeighborhoodLake BonnyShore Acres NeighborhoodShore AcresLake Bonny Park NeighborhoodLk Bonny PkLime Street NeighborhoodLime StreetEdgewater Beach NeighborhoodEdgewater BchParker Street NeighborhoodParker StreetCentral Avenue NeighborhoodCntrl AveWestgate NeighborhoodWestgateWebster Park North NeighborhoodWebster Pk NNorth Lake Wire NeighborhoodN Lk WireKathleen NeighborhoodKathleenPinehurst NeighborhoodPinehurstOrangewood NeighborhoodOrangewoodValencia Heights NeighborhoodValencia HtsHarmony Hills NeighborhoodHarmony HillsPaul A. Diggs NeighborhoodPaul A. DiggsLakeshore NeighborhoodLakeshoreWebster Park South NeighborhoodWebster Pk SWatson NeighborhoodWatsonJohn Cox NeighborhoodJohn CoxLake Bonnet NeighborhoodLake BonnetJewel Avenue NeighborhoodJewel Avenue46.629599%46.629599%46.6%1,1111,112145.632682%45.632682%45.6%749242.086459%42.086459%42.1%377337.350333%37.350333%37.4%603604434.243406%34.243406%34.2%184185534.243406%34.243406%34.2%163634.243406%34.243406%34.2%5051734.243406%34.243406%34.2%34832.414911%32.414911%32.4%540541932.414911%32.414911%32.4%35361132.414911%32.414911%32.4%1291032.314751%32.314751%32.3%1521531230.457708%30.457708%30.5%13,009,07313.0M30.315023%30.315023%30.3%64,767,78764.8M28.344140%28.344140%28.3%5301328.191926%28.191926%28.2%22,547,73422.5M27.883378%27.883378%27.9%3,929,7963.93M25.848728%25.848728%25.8%18,10618.1k25.631670%25.631670%25.6%1241425.464632%25.464632%25.5%1831841525.370920%25.370920%25.4%2912921619.907736%19.907736%19.9%1591601719.907736%19.907736%19.9%54551819.460829%19.460829%19.5%85,08885.1k19.460829%19.460829%19.5%85,08885.1k19.460829%19.460829%19.5%85,08885.1k15.839872%15.839872%15.8%2621915.435717%15.435717%15.4%642015.435717%15.435717%15.4%592114.677995%14.677995%14.7%4604612214.492687%14.492687%14.5%3,16113.669914%13.669914%13.7%492313.669914%13.669914%13.7%192513.669914%13.669914%13.7%52613.669914%13.669914%13.7%46472412.783661%12.783661%12.8%33812.783661%12.783661%12.8%88892712.783661%12.783661%12.8%55562812.783661%12.783661%12.8%213012.783661%12.783661%12.8%343112.783661%12.783661%12.8%222912.026413%12.026413%12.0%131329.530293%9.530293%9.5%62349.530293%9.530293%9.5%66339.222391%9.222391%9.2%125126358.834817%8.834817%8.8%6768368.657723%8.657723%8.7%90378.556150%8.556150%8.6%1516388.556150%8.556150%8.6%89398.556150%8.556150%8.6%2408.556150%8.556150%8.6%2418.356927%8.356927%8.4%104105428.224537%8.224537%8.2%55438.196721%8.196721%8.2%5455448.020050%8.020050%8.0%4468.020050%8.020050%8.0%2829457.188264%7.188264%7.2%32471.400108%1.400108%1.4%8948
Count number of people in category
# rank of neighborhood out of 48 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Neighborhood#17

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Lake Bonny, selected other neighborhoods in Lakeland, and entities that contain Lake Bonny
0%2%4%6%8%Count#Lake Hollingsworth NeighborhoodLk HollingsworthLake Watkins NeighborhoodLake WatkinsImperial NeighborhoodImperialSouth AtlanticUnited States of AmericaUnited StatesFloridaSouthSouthwest NeighborhoodSouthwestSouth Lake Morton NeighborhoodS Lk MortonCleveland Heights NeighborhoodCleveland HtsEdgewood NeighborhoodEdgewoodDowntown NeighborhoodDowntownLakelandCleveland Heights Golf Course NeighborhoodCleveland Hts Golf …Raintree NeighborhoodRaintreeLake Somerset NeighborhoodLake SomersetCamphor NeighborhoodCamphorBeacon Hill NeighborhoodBeacon HillLakeland and Winter Haven Metro AreaLakeland AreaPolk CountyPolkPolk County School DistrictPolk CountyParker Street NeighborhoodParker StreetDixieland NeighborhoodDixielandLake Beulah NeighborhoodLake BeulahLake Hunter Terrace NeighborhoodLk Hunter TerCrystal Lake NeighborhoodCrystal LakeEast Lake Morton NeighborhoodE Lk MortonFlorida Southern College NeighborhoodFlorida S CollegeLake Horney NeighborhoodLake HorneyJefferson Ave NeighborhoodJefferson AveFrancis Blvd NeighborhoodFrancis BlvdZIP Code 33801ZIP 33801North Lake Wire NeighborhoodN Lk WireJohn Cox NeighborhoodJohn CoxWatson NeighborhoodWatsonLakeshore NeighborhoodLakeshorePinehurst NeighborhoodPinehurstOrangewood NeighborhoodOrangewoodValencia Heights NeighborhoodValencia HtsHarmony Hills NeighborhoodHarmony HillsWebster Park North NeighborhoodWebster Pk N010300Tract 010300Lake Bonny NeighborhoodLake BonnyShore Acres NeighborhoodShore AcresLime Street NeighborhoodLime StreetLake Bonny Park NeighborhoodLk Bonny PkEdgewater Beach NeighborhoodEdgewater BchPaul A. Diggs NeighborhoodPaul A. DiggsKathleen NeighborhoodKathleenJewel Avenue NeighborhoodJewel AvenueWestgate NeighborhoodWestgateCentral Avenue NeighborhoodCntrl AveWebster Park South NeighborhoodWebster Pk SLake Bonnet NeighborhoodLake BonnetSwannanoa NeighborhoodSwannanoaTigertown NeighborhoodTigertownN Martha NeighborhoodN MarthaLake Parker Park NeighborhoodLk Parker Pk8.025764%8.025764%8.0%19117.837582%7.837582%7.8%12812923.822794%3.822794%3.8%3433.501306%3.501306%3.5%1,495,4751.50M3.336158%3.336158%3.3%7,127,6737.13M3.143038%3.143038%3.1%442,970443k3.064699%3.064699%3.1%2,451,1282.45M2.641468%2.641468%2.6%4942.558465%2.558465%2.6%4152.448071%2.448071%2.4%2862.443533%2.443533%2.4%171872.307843%2.307843%2.3%101182.215687%2.215687%2.2%1,5522.106969%2.106969%2.1%2112.106969%2.106969%2.1%892.106969%2.106969%2.1%35101.916253%1.916253%1.9%15121.916253%1.916253%1.9%5131.584760%1.584760%1.6%6,9291.584760%1.584760%1.6%6,9291.584760%1.584760%1.6%6,9291.408742%1.408742%1.4%15141.275110%1.275110%1.3%21151.211411%1.211411%1.2%5161.211411%1.211411%1.2%45171.209117%1.209117%1.2%3738181.121871%1.121871%1.1%5190.740398%0.740398%0.7%34200.740398%0.740398%0.7%34210.740398%0.740398%0.7%1220.740398%0.740398%0.7%01230.550181%0.550181%0.6%1200.518087%0.518087%0.5%34240.501253%0.501253%0.5%12250.501253%0.501253%0.5%0260.483111%0.483111%0.5%3270.340301%0.340301%0.3%01280.340301%0.340301%0.3%0290.340301%0.340301%0.3%0300.340301%0.340301%0.3%0310.288549%0.288549%0.3%34320.189107%0.189107%0.2%50.189107%0.189107%0.2%1330.189107%0.189107%0.2%01340.189107%0.189107%0.2%0360.189107%0.189107%0.2%0370.189107%0.189107%0.2%0350.151680%0.151680%0.2%12380.000000%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
Count number of people in category
# rank of neighborhood out of 48 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by Neighborhood#18

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Lake Bonny, selected other neighborhoods in Lakeland, and entities that contain Lake Bonny
Female
Male
0x2x4x6xFM#Lake SomersetRaintreeCleveland Hts Golf CrseCleveland Hts Golf …CamphorBeacon HillHarmony HillsPinehurstOrangewoodValencia HtsSouthwestWebster Pk NSwannanoaN MarthaTigertownLk Parker PkEdgewoodCleveland HtsImperialZIP 33801Lake WatkinsDixielandLakelandLakeland AreaPolkPolk CountyCntrl AveWestgateLake BeulahLk Hunter TerCrystal LakeSouth AtlanticLk HollingsworthSouthFloridaUnited StatesDowntownKathleenLakeshoreParker StreetJohn CoxWatsonPaul A. DiggsS Lk MortonN Lk WireE Lk MortonJewel AvenueLake BonnetLime StreetShore AcresEdgewater BchTract 010300Lake BonnyLk Bonny PkWebster Pk SFlorida S CollegeFrancis BlvdLake HorneyJefferson Ave-1.000000x-1.000000x6.485626x6.485626x6.49x2.671%2.67%17.322%17.3%1-1.000000x-1.000000x6.485626x6.485626x6.49x2.671%2.67%17.322%17.3%2-1.000000x-1.000000x6.485626x6.485626x6.49x2.671%2.67%17.322%17.3%3-1.000000x-1.000000x2.750116x2.750116x2.75x4.549%4.55%12.509%12.5%5-1.000000x-1.000000x2.750116x2.750116x2.75x4.549%4.55%12.509%12.5%4-1.000000x-1.000000x2.303338x2.303338x2.30x9.037%9.04%20.814%20.8%8-1.000000x-1.000000x2.303338x2.303338x2.30x9.037%9.04%20.814%20.8%9-1.000000x-1.000000x2.303338x2.303338x2.30x9.037%9.04%20.814%20.8%6-1.000000x-1.000000x2.303338x2.303338x2.30x9.037%9.04%20.814%20.8%7-1.000000x-1.000000x2.049104x2.049104x2.05x5.639%5.64%11.556%11.6%10-1.000000x-1.000000x2.048683x2.048683x2.05x10.218%10.2%20.933%20.9%11-1.000000x-1.000000x1.527897x1.527897x1.53x21.058%21.1%32.175%32.2%12-1.000000x-1.000000x1.527897x1.527897x1.53x21.058%21.1%32.175%32.2%13-1.000000x-1.000000x1.527897x1.527897x1.53x21.058%21.1%32.175%32.2%14-1.000000x-1.000000x1.527897x1.527897x1.53x21.058%21.1%32.175%32.2%15-1.000000x-1.000000x1.465216x1.465216x1.47x5.742%5.74%8.413%8.41%16-1.000000x-1.000000x1.433351x1.433351x1.43x5.781%5.78%8.286%8.29%17-1.000000x-1.000000x1.351419x1.351419x1.35x7.186%7.19%9.711%9.71%18-1.000000x-1.000000x1.299614x1.299614x1.30x18.900%18.9%24.562%24.6%-1.000000x-1.000000x1.265677x1.265677x1.27x6.307%6.31%7.982%7.98%19-1.000000x-1.000000x1.257575x1.257575x1.26x10.824%10.8%13.612%13.6%20-1.000000x-1.000000x1.237568x1.237568x1.24x10.636%10.6%13.163%13.2%-1.000000x-1.000000x1.212648x1.212648x1.21x14.525%14.5%17.614%17.6%-1.000000x-1.000000x1.212648x1.212648x1.21x14.525%14.5%17.614%17.6%-1.000000x-1.000000x1.212648x1.212648x1.21x14.525%14.5%17.614%17.6%-1.000000x-1.000000x1.212459x1.212459x1.21x13.219%13.2%16.028%16.0%21-1.000000x-1.000000x1.212459x1.212459x1.21x13.219%13.2%16.028%16.0%22-1.000000x-1.000000x1.206653x1.206653x1.21x11.384%11.4%13.736%13.7%23-1.000000x-1.000000x1.206653x1.206653x1.21x11.384%11.4%13.736%13.7%24-1.000000x-1.000000x1.182964x1.182964x1.18x17.892%17.9%21.165%21.2%25-1.000000x-1.000000x1.178860x1.178860x1.18x11.819%11.8%13.933%13.9%-1.000000x-1.000000x1.160030x1.160030x1.16x7.479%7.48%8.676%8.68%26-1.000000x-1.000000x1.149925x1.149925x1.15x13.427%13.4%15.440%15.4%-1.000000x-1.000000x1.133869x1.133869x1.13x12.051%12.1%13.664%13.7%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.073348x1.073348x1.07x11.004%11.0%11.811%11.8%27-1.000000x-1.000000x1.071665x1.071665x1.07x22.947%22.9%24.592%24.6%28-1.000000x-1.000000x1.055379x1.055379x1.06x13.654%13.7%14.410%14.4%29-1.000000x-1.000000x1.048577x1.048577x1.05x22.390%22.4%23.477%23.5%30-1.000000x-1.000000x1.025281x1.025281x1.03x13.383%13.4%13.722%13.7%31-1.000000x-1.000000x1.025281x1.025281x1.03x13.383%13.4%13.722%13.7%32-1.001893x-1.001893x1.00x1.000000x1.000000x22.658%22.7%22.616%22.6%33-1.046561x-1.046561x1.05x1.000000x1.000000x8.775%8.77%8.384%8.38%34-1.105022x-1.105022x1.11x1.000000x1.000000x26.754%26.8%24.212%24.2%35-1.125148x-1.125148x1.13x1.000000x1.000000x15.261%15.3%13.563%13.6%36-1.148404x-1.148404x1.15x1.000000x1.000000x33.843%33.8%29.470%29.5%37-1.174490x-1.174490x1.17x1.000000x1.000000x28.532%28.5%24.293%24.3%38-1.277139x-1.277139x1.28x1.000000x1.000000x18.014%18.0%14.105%14.1%40-1.277139x-1.277139x1.28x1.000000x1.000000x18.014%18.0%14.105%14.1%42-1.277139x-1.277139x1.28x1.000000x1.000000x18.014%18.0%14.105%14.1%43-1.277139x-1.277139x1.28x1.000000x1.000000x18.014%18.0%14.105%14.1%-1.277139x-1.277139x1.28x1.000000x1.000000x18.014%18.0%14.105%14.1%41-1.277139x-1.277139x1.28x1.000000x1.000000x18.014%18.0%14.105%14.1%39-1.410823x-1.410823x1.41x1.000000x1.000000x33.886%33.9%24.018%24.0%44-1.976517x-1.976517x1.98x1.000000x1.000000x11.181%11.2%5.657%5.66%45-1.976517x-1.976517x1.98x1.000000x1.000000x11.181%11.2%5.657%5.66%46-1.976517x-1.976517x1.98x1.000000x1.000000x11.181%11.2%5.657%5.66%47-1.976517x-1.976517x1.98x1.000000x1.000000x11.181%11.2%5.657%5.66%48
F percentage of females in category
M percentage of males in category
# rank of neighborhood out of 48 by male-to-female sex ratio

Over-Education Sex Ratio by Neighborhood#19

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Lake Bonny, selected other neighborhoods in Lakeland, and entities that contain Lake Bonny
Female
Male
0x5x10xFM#Tract 010300Webster Pk NLake SomersetPaul A. DiggsParker StreetLakeshoreN Lk WireLake BonnyShore AcresJohn CoxRaintreePinehurstEdgewater BchLk Bonny PkOrangewoodCleveland Hts Golf CrseCleveland Hts Golf …WatsonValencia HtsHarmony HillsLime StreetDowntownS Lk MortonE Lk MortonZIP 33801Lk Hunter TerLake BeulahDixielandLakeland AreaPolkPolk CountyFloridaLakelandSouthUnited StatesSouth AtlanticFlorida S CollegeLake HorneyJefferson AveFrancis BlvdEdgewoodCleveland HtsLake WatkinsCrystal LakeLk HollingsworthImperialSouthwestCamphorBeacon Hill-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.422%0.42%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.674%0.67%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.351%4.35%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.347%0.35%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.624%2.62%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.086%1.09%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.050%1.05%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.422%0.42%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.422%0.42%8-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.128%1.13%9-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.351%4.35%10-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.792%0.79%11-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.422%0.42%12-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.422%0.42%13-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.792%0.79%14-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.351%4.35%15-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.128%1.13%16-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.792%0.79%17-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.792%0.79%18-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.422%0.42%19-1.000000x-1.000000x5.415221x5.415221x5.42x0.767%0.77%4.153%4.15%20-1.000000x-1.000000x5.130484x5.130484x5.13x0.915%0.92%4.697%4.70%21-1.000000x-1.000000x4.382581x4.382581x4.38x0.414%0.41%1.817%1.82%22-1.000000x-1.000000x3.260932x3.260932x3.26x0.264%0.26%0.861%0.86%-1.000000x-1.000000x2.821154x2.821154x2.82x0.682%0.68%1.923%1.92%23-1.000000x-1.000000x2.821154x2.821154x2.82x0.682%0.68%1.923%1.92%24-1.000000x-1.000000x2.245314x2.245314x2.25x0.829%0.83%1.862%1.86%25-1.000000x-1.000000x1.731817x1.731817x1.73x1.173%1.17%2.031%2.03%-1.000000x-1.000000x1.731817x1.731817x1.73x1.173%1.17%2.031%2.03%-1.000000x-1.000000x1.731817x1.731817x1.73x1.173%1.17%2.031%2.03%-1.000000x-1.000000x1.673660x1.673660x1.67x2.376%2.38%3.977%3.98%-1.000000x-1.000000x1.613037x1.613037x1.61x1.726%1.73%2.784%2.78%-1.000000x-1.000000x1.555780x1.555780x1.56x2.420%2.42%3.764%3.76%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.520688x1.520688x1.52x2.804%2.80%4.265%4.26%-1.000000x-1.000000x1.378167x1.378167x1.38x0.626%0.63%0.863%0.86%26-1.000000x-1.000000x1.378167x1.378167x1.38x0.626%0.63%0.863%0.86%27-1.000000x-1.000000x1.378167x1.378167x1.38x0.626%0.63%0.863%0.86%28-1.000000x-1.000000x1.378167x1.378167x1.38x0.626%0.63%0.863%0.86%29-1.000000x-1.000000x1.268411x1.268411x1.27x2.174%2.17%2.758%2.76%30-1.000000x-1.000000x1.242005x1.242005x1.24x2.202%2.20%2.735%2.74%31-1.000000x-1.000000x1.089625x1.089625x1.09x7.494%7.49%8.166%8.17%32-1.000000x-1.000000x1.069271x1.069271x1.07x1.171%1.17%1.252%1.25%33-1.000000x-1.000000x1.035196x1.035196x1.04x7.886%7.89%8.163%8.16%34-1.253289x-1.253289x1.25x1.000000x1.000000x4.167%4.17%3.325%3.32%35-1.588458x-1.588458x1.59x1.000000x1.000000x3.178%3.18%2.001%2.00%36-1.884218x-1.884218x1.88x1.000000x1.000000x2.481%2.48%1.317%1.32%37-1.884218x-1.884218x1.88x1.000000x1.000000x2.481%2.48%1.317%1.32%38
F percentage of females in category
M percentage of males in category
# rank of neighborhood out of 38 by male-to-female sex ratio

Definitions

Educational attainment is reported in terms of the highest level of education obtained by persons aged 25 years and older. On this page, we report on both detailed and coarse categorizations of the levels of education in the population. The detailed levels of educational attainment are as follows:

  • None: no formal education at all
  • Less than High School: some education, but stopped short of high school
  • Some High School: some high school education, but no high school diploma (or equivalent)
  • Some College: high school diploma (or equivalent), and some college, but no post-secondary degree
  • Associate's Degree: highest post-secondary degree is an associate's degree (including occupational or academic degrees)
  • Bachelor's Degree: highest post-secondary degree is a bachelor's degree (e.g., BA, BS, AB)
  • Master's Degree: highest post-secondary degree is a master's degree (e.g., MA, MS, MENG, MSW)
  • Professional Degree: highest post-secondary degree is a professional degree (e.g., MD, DDC, JD)
  • Doctorate Degree: highest post-secondary degree is a doctorate degree (e.g., PhD, EdD)

The coarse levels of educational attainment are as follows:

  • No High School Diploma: does not have a high school diploma or equivalent
  • High School Diploma: has a high school diploma or equivalent and possibly some college, but no post-secondary degrees
  • Higher Degree: has some post-secondary degree (associate's, bachelor's, master's, professional, doctorate)

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

Income

Education

More Maps to Explore

State:
Florida
County:
Polk
Metro Area:
Lakeland Area
City:
Lakeland
Unincorporated Place:
Crystal Lake
ZIP Code:
33801
Unified School District:
Polk County
Congressional District:
FL-15
State Senate District:
FL-22
State House District:
FL-40
Neighboring Neighborhoods:
Crystal Lake, Lake Bonny Park, Shore Acres
Nearby Neighborhoods:
East End, Greater Pinellas Point, Greystone Country Estates, Marston, Rosebank, South East, South River, Southbridge, The Parkway, West Side