Employment Status in John Cox, Lakeland, Florida (Neighborhood)

Employment Status#1

Percentage of population aged 25 to 64 years old.
Scope: population of Lakeland and John Cox
John Cox
Lakeland
0%10%20%30%40%50%CountArmed ForcesEmployed1UnemployedOther20.000000%0.000000%0.0%0.074349%052.000000%48.941732%52.000000%52.0%21221310.181818%5.163627%10.181818%10.2%414237.818182%45.820292%37.818182%37.8%154155
Count population with given employment status
1excluding armed forces 2not in the labor force

Employment Status By Sex#2

Percentage of male and female population aged 25 to 64 years old.
Scope: population of Lakeland and John Cox
John Cox
Lakeland
40%20%0%20%40%FMArmed ForcesEmployed1UnemployedOther2-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.000000%0.0%00-51.916933%-0.152493%-51.916933%-0.152493%-52.069426%52.1%51.916933%51.916933%51.916933%51.9%1151169697-7.476636%-7.476636%-7.476636%7.5%7.476636%5.941895%7.476636%5.941895%13.418530%13.4%16172425-34.664537%-5.789402%-34.664537%-5.789402%-40.453939%40.5%34.664537%34.664537%34.664537%34.7%906465
F females with given employment status
M males with given employment status
1excluding armed forces 2not in the labor force

Employment Status by Age#3

Employment status composition of the given age cohorts.
Scope: population of John Cox
Armed Forces
Employed
Unemployed
Not in Labor Force
75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-190.000000%8.227848%8%0.000000%91.772152%92%340.000000%51.470588%51%2.941176%45.588235%46%100.000000%26.190476%26%15.476190%15%58.333333%58%670.000000%40.384615%40%0.000000%59.615385%60%120.000000%85.714286%86%0.000000%14.285714%14%10110.000000%61.111111%61%2.380952%36.507937%37%22230.000000%57.971014%58%32.367150%32%9.661836%10%35360.000000%47.668394%48%3.108808%49.222798%49%270.000000%80.000000%80%0.000000%20.000000%20%140.000000%86.451613%86%13.548387%14%0.000000%39400.000000%61.616162%62%28.282828%28%10.101010%10%180.000000%92.592593%93%0.000000%7.407407%7%70.000000%19.230769%19%0.000000%80.769231%81%230%20%40%60%80%100%Count
Count number of people in age cohort

Employment by Sex and Age#4

Percentage of population employed by sex and age cohort.
Scope: population of John Cox
Female
Male
0%20%40%60%80%100%FM75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-1917.333%17.3%0.000%0%15.385%15.4%100.000%100%30.986%31.0%0.000%0%24.138%24.1%46.667%46.7%82.353%82.4%100.000%100%68.889%68.9%56.790%56.8%51.064%51.1%63.717%63.7%50.388%50.4%42.188%42.2%100.000%100%47.826%47.8%81.250%81.3%100.000%100%100.000%100%58.696%58.7%100.000%100%0.000%0%19.231%19.2%0.000%0%
F employed females as percentage of age cohort
M employed males as percentage of age cohort

Employment Sex Ratio by Age#5

Percentage more males or females employed by age cohort.
Scope: population of Lakeland and John Cox
More Females More Males
Lakeland
John Cox
1,000%500%0%500%M:FFM75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-19-1,000.000000%-10.810811%-1,000.000000%> 1000%0.0000340383.333333%69.611307%383.333333%383.3%4.8334.831289-1,000.000000%-1,000.000000%> 1000%36.052202%0.0000670400.000000%38.862559%400.000000%400.0%5.0005.00210-250.000000%-56.457565%-250.000000%250.0%0.2860.298248.387097%11.117936%48.387097%48.4%1.4841.489131450.000000%34.534019%50.000000%50.0%1.5001.501421-140.740741%-0.091387%-140.740741%140.7%0.4150.42198-236.363636%-0.215517%-236.363636%236.4%0.2970.30113-111.627907%-4.034942%-111.627907%111.6%0.4730.47271213-18.211382%671.428571%671.428571%671.4%7.7147.71216-1,000.000000%-20.028209%-1,000.000000%> 1000%0.000070-1,000.000000%-1,000.000000%> 1000%6.367041%0.0000230
M:F ratio of males to females in the age cohort
F employed females in the age cohort
M employed males in the age cohort

Male Employment by Age#6

Percentage of male population employed by age cohort. Gray areas represent percentile bands from the neighborhoods in Lakeland.
Scope: population of Lakeland, John Cox, and selected other neighborhoods in Lakeland
John Cox
Lakeland
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0%20%40%60%80%100%%75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-190.000%0%100.000%100%0.000%0%46.667%46.7%100.000%100%56.790%56.8%63.717%63.7%42.188%42.2%47.826%47.8%100.000%100%58.696%58.7%0.000%0%0.000%0%
% employed percentage of male population in John Cox

Female Employment by Age#7

Percentage of female population employed by age cohort. Gray areas represent percentile bands from the neighborhoods in Lakeland.
Scope: population of Lakeland, John Cox, and selected other neighborhoods in Lakeland
John Cox
Lakeland
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0%20%40%60%80%100%%75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-1917.333%17.3%15.385%15.4%30.986%31.0%24.138%24.1%82.353%82.4%68.889%68.9%51.064%51.1%50.388%50.4%100.000%100%81.250%81.3%100.000%100%100.000%100%19.231%19.2%
% employed percentage of female population in John Cox

Employment among the Married#8

Selected family employment structures as a percentage of all married couple households.
Scope: households in Lakeland and John Cox
John Cox
Lakeland
0%10%20%30%CountBoth Parents Work1Stay at Home Moms1Stay at Home Dads1Neither Parent WorksNeither Parent Wo…1Both Work, No Kids2Ladies Who Lunch2Gents Who Lunch2Neither Works, No KidsNeither Works, No …220.707071%19.420784%20.707071%20.7%1212.121212%9.243485%12.121212%12.1%70.000000%0.000000%0.0%1.148337%00.000000%0.000000%0.0%0.826551%034.848485%22.089722%34.848485%34.8%202112.626263%12.366711%12.626263%12.6%79.595960%6.309546%9.595960%9.6%5610.101010%28.594864%10.101010%10.1%56
1children under 18 present in the house 2no children under 18 present in the house

Employment among the Married With Children#9

Selected employment arrangements as a percentage of married couples with children under 18 present in the house.
Scope: households in Lakeland and John Cox
John Cox
Lakeland
0%20%40%60%CountBoth WorkStay at Home MomsStay at Home DadsNeither Work63.076923%63.385502%63.076923%63.1%1236.923077%30.168863%36.923077%36.9%70.000000%0.000000%0.0%3.747941%00.000000%0.000000%0.0%2.697694%0

Employment among the Married Without Children#10

Selected employment arrangements as a percentage of married couples without children under 18 present in the house.
Scope: households in Lakeland and John Cox
John Cox
Lakeland
0%10%20%30%40%50%CountBoth WorkLadies Who LunchGents Who LunchNeither Work51.879699%31.847539%51.879699%51.9%202118.796992%17.829528%18.796992%18.8%714.285714%9.096698%14.285714%14.3%5615.037594%41.226235%15.037594%15.0%56

Employment by Educational Attainment#11

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 John Cox
John Cox
Lakeland
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma384.931507%80.400151%84.931507%84.9%1861.181435%66.984582%61.181435%61.2%4366.532258%62.897397%66.532258%66.5%9814.814815%52.047371%14.814815%14.8%34
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

The Non-Working by Race#12

Percentage of each ethno-racial group's population 16 to 64 years of age that is either unemployed or not in the labor force.
Scope: population of Lakeland and John Cox
Female Male
Lakeland
John Cox
Shaded bar tips show excess over facing bar.
40%20%0%20%40%%AsianBlackWhiteHispanic1OtherMixed-37.500000%-28.110599%-4.614120%-37.500000%37.5%37.500000%19.642857%28.110599%57.142857%57.1%50.000%50.0%-35.424354%-39.484979%-6.584921%-35.424354%35.4%35.424354%10.852242%39.484979%46.276596%46.3%39.869%39.9%-38.976378%-1.716263%-30.944814%-11.346801%-40.692641%40.7%38.976378%30.944814%38.976378%39.0%39.794%39.8%-6.896552%-48.985801%-27.022822%-16.465611%-55.882353%55.9%6.896552%27.022822%6.896552%6.9%33.333%33.3%-0.000000%-41.777778%-17.381886%0.000000%0.0%0.000000%50.000000%41.777778%50.000000%50.0%7.143%7.14%-0.000000%-25.531915%-25.216215%0.000000%0.0%0.000000%0.000000%25.531915%0.000000%0.0%0.000%0%
% percentage of both sexes combined
1white Hispanic

Unemployment by Race#13

Percentage unemployed of each ethno-racial group's population 16 to 64 years of age.
Scope: population of Lakeland and John Cox
Female Male
Lakeland
John Cox
Shaded bar tips show excess over facing bar.
15%10%5%0%5%10%15%20%%BlackAsianWhiteHispanic1MixedOther-15.867159%-12.391214%-15.867159%15.9%15.867159%5.941352%12.391214%2.063721%21.808511%21.8%18.301%18.3%-0.000000%-4.353933%0.000000%0.0%0.000000%21.428571%4.353933%8.549293%21.428571%21.4%13.636%13.6%-3.463203%-3.978847%-3.463203%3.5%3.463203%5.985615%3.978847%1.499339%9.448819%9.4%6.598%6.60%-0.000000%-8.823529%-3.812241%-0.164884%-8.823529%8.8%0.000000%3.812241%0.000000%0.0%4.762%4.76%-0.000000%-9.351621%0.000000%0.0%0.000000%0.000000%9.351621%1.995897%0.000000%0.0%0.000%0%-0.000000%-4.222222%-1.828198%0.000000%0.0%0.000000%0.000000%4.222222%0.000000%0.0%0.000%0%
% percentage of both sexes combined
1white Hispanic

Armed Forces by Race#14

Percentage of each ethno-racial group's population 16 to 64 years of age in the armed forces.
Scope: population of Lakeland and John Cox
Female Male
Lakeland
John Cox
Shaded bar tips show excess over facing bar.
0%1%2%3%4%5%6%%WhiteHispanic1BlackAsianMixedOther-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.069344%0.000000%0.0%0.000%0%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.000000%0.0%0.000%0%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.154506%0.000000%0.0%0.000%0%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%6.298003%0.000000%0.0%0.000%0%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.000000%0.0%0.000%0%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.000000%0.0%0.000%0%
% percentage of both sexes combined
1white Hispanic

Employment by Race#15

Percentage employed of each ethno-racial group's population 16 to 64 years of age.
Scope: population of Lakeland and John Cox
Female Male
Lakeland
John Cox
Shaded bar tips show excess over facing bar.
100%50%0%50%%OtherHispanic1WhiteBlackAsianMixed-50.000000%-50.000000%-40.840336%-100.000000%100.0%50.000000%40.840336%17.381886%50.000000%50.0%92.857%92.9%-44.117647%-56.511567%-44.117647%44.1%44.117647%48.985801%56.511567%16.465611%93.103448%93.1%66.667%66.7%-59.307359%-57.708386%-59.307359%59.3%59.307359%1.716263%57.708386%11.346801%61.023622%61.0%60.206%60.2%-53.723404%-10.852242%-53.930101%-64.575646%64.6%53.723404%53.930101%6.584921%53.723404%53.7%60.131%60.1%-42.857143%-19.642857%-67.275281%-62.500000%62.5%42.857143%67.275281%4.614120%42.857143%42.9%50.000%50.0%-0.000000%-49.251870%0.000000%0.0%0.000000%0.000000%49.251870%25.216215%0.000000%0.0%0.000%0%
% percentage of both sexes combined
1white Hispanic

Employment Status by Neighborhood in Lakeland

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

Employed Working-Age Men by Neighborhood#20

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of John Cox, selected other neighborhoods in Lakeland, and entities that contain John Cox
0%50%100%Count#Cleveland Heights NeighborhoodCleveland HtsEdgewood NeighborhoodEdgewoodLake Watkins NeighborhoodLake WatkinsLake Hollingsworth NeighborhoodLk HollingsworthLake Bonny NeighborhoodLake BonnyShore Acres NeighborhoodShore AcresLime Street NeighborhoodLime StreetEdgewater Beach NeighborhoodEdgewater BchLake Bonny Park NeighborhoodLk Bonny PkUnited States of AmericaUnited StatesSouth AtlanticImperial NeighborhoodImperialSouthFlorida Southern College NeighborhoodFlorida S CollegeLake Horney NeighborhoodLake HorneyJefferson Ave NeighborhoodJefferson AveFrancis Blvd NeighborhoodFrancis BlvdWestgate NeighborhoodWestgateCentral Avenue NeighborhoodCntrl AveFloridaLakelandLakeland and Winter Haven Metro AreaLakeland AreaPolk CountyPolkPolk County School DistrictPolk CountySouthwest NeighborhoodSouthwestEast Lake Morton NeighborhoodE Lk MortonSouth Lake Morton NeighborhoodS Lk MortonCrystal Lake NeighborhoodCrystal LakeCamphor NeighborhoodCamphorBeacon Hill NeighborhoodBeacon HillTigertown NeighborhoodTigertownN Martha NeighborhoodN MarthaLake Parker Park NeighborhoodLk Parker PkSwannanoa NeighborhoodSwannanoaDowntown NeighborhoodDowntownJewel Avenue NeighborhoodJewel AvenueLake Somerset NeighborhoodLake SomersetRaintree NeighborhoodRaintreeCleveland Heights Golf Course NeighborhoodCleveland Hts Golf …Parker Street NeighborhoodParker StreetDixieland NeighborhoodDixielandLake Beulah NeighborhoodLake BeulahLake Hunter Terrace NeighborhoodLk Hunter TerWebster Park South NeighborhoodWebster Pk SPaul A. Diggs NeighborhoodPaul A. DiggsKathleen NeighborhoodKathleenPinehurst NeighborhoodPinehurstOrangewood NeighborhoodOrangewoodValencia Heights NeighborhoodValencia HtsHarmony Hills NeighborhoodHarmony HillsWebster Park North NeighborhoodWebster Pk NNorth Lake Wire NeighborhoodN Lk WireLakeshore NeighborhoodLakeshoreJohn Cox NeighborhoodJohn CoxWatson NeighborhoodWatsonLake Bonnet NeighborhoodLake Bonnet100.000000%100.000000%100.0%57199.459504%99.459504%99.5%3536290.984059%90.984059%91.0%100101388.004270%88.004270%88.0%134485.271318%85.271318%85.3%2829585.271318%85.271318%85.3%18685.271318%85.271318%85.3%1785.271318%85.271318%85.3%7885.271318%85.271318%85.3%67983.826751%83.826751%83.8%16,918,49516.9M83.196825%83.196825%83.2%3,276,3853.28M83.091787%83.091787%83.1%551082.890666%82.890666%82.9%6,325,3956.33M82.303371%82.303371%82.3%731182.303371%82.303371%82.3%64651282.303371%82.303371%82.3%201382.303371%82.303371%82.3%13141482.105263%82.105263%82.1%36371582.105263%82.105263%82.1%34351681.914954%81.914954%81.9%988,530989k80.062191%80.062191%80.1%4,37779.450251%79.450251%79.5%29,56929.6k79.450251%79.450251%79.5%29,56929.6k79.450251%79.450251%79.5%29,56929.6k77.532367%77.532367%77.5%1271776.337467%76.337467%76.3%54551875.711212%75.711212%75.7%941975.129477%75.129477%75.1%1842074.907749%74.907749%74.9%57582174.907749%74.907749%74.9%19202274.411765%74.411765%74.4%252374.411765%74.411765%74.4%102474.411765%74.411765%74.4%232574.411765%74.411765%74.4%26272673.041403%73.041403%73.0%30312772.357724%72.357724%72.4%292867.320261%67.320261%67.3%69702967.320261%67.320261%67.3%16173067.320261%67.320261%67.3%453166.422183%66.422183%66.4%92933265.010184%65.010184%65.0%843363.775510%63.775510%63.8%203463.775510%63.775510%63.8%18193563.636364%63.636364%63.6%28293659.506535%59.506535%59.5%493755.750111%55.750111%55.8%40413854.135338%54.135338%54.1%63954.135338%54.135338%54.1%344054.135338%54.135338%54.1%014154.135338%54.135338%54.1%014252.906199%52.906199%52.9%47484346.967894%46.967894%47.0%424444.309820%44.309820%44.3%164542.187500%42.187500%42.2%84642.187500%42.187500%42.2%14734.684685%34.684685%34.7%1748
Count number of employed 35 to 44 year old men
# rank of neighborhood out of 48 by percentage employed 35 to 44 year old men

Definitions

  • Armed Forces: persons on active duty in the Armed Forces
  • Employed: persons who did any work for pay during the survey week, those who did at least 15 hours of unpaid work in a family-owned enterprise operated by someone in their household, and those who were temporarily absent from their regular jobs
  • Unemployed: persons are classified as unemployed if they do not have a job, have actively looked for work in the prior 4 weeks, and are currently available for work
  • Not in Labor Force: not in the labor force are those who are not classified as employed or unemployed during the survey reference week
  • Working-Age Men: males aged 35 to 44 years old, the national peak employment age

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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State:
Florida
County:
Polk
Metro Area:
Lakeland Area
City:
Lakeland
ZIP Codes:
33801, 33805
Unified School District:
Polk County
Congressional District:
FL-15
State Senate District:
FL-22
State House District:
FL-40
Neighboring Neighborhoods:
Lakeshore, Parker Street, Watson
Nearby Neighborhoods:
Downtown, East Lake Morton, Edgewater Beach, North Lake Wire, Paul A. Diggs, Pinehurst, Swannanoa, Tigertown, Valencia Heights, Webster Park South