Employment Status in Silver Lake, Kenosha County, Wisconsin (Village)

Employment Status#1

Percentage of population aged 25 to 64 years old.
Scope: population of Kenosha County and Silver Lake
Silver Lake
Kenosha County
0%20%40%60%CountArmed ForcesEmployed1UnemployedOther20.373732%0.246451%0.373732%0.4%775.066738%61.153026%75.066738%75.1%1,4065.659370%5.791590%5.659370%5.7%10618.900160%32.808933%18.900160%18.9%354
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 Kenosha County and Silver Lake
Silver Lake
Kenosha County
50%0%50%FMArmed ForcesEmployed1UnemployedOther2-0.000000%-0.000000%0.000000%0.0%0.000000%0.704225%0.000000%0.704225%0.704225%0.7%07-73.239437%-3.893669%-73.239437%-3.893669%-77.133106%77.1%73.239437%73.239437%73.239437%73.2%678728-5.533199%-0.268849%-5.533199%-0.268849%-5.802048%5.8%5.533199%5.533199%5.533199%5.5%5155-17.064846%-17.064846%-17.064846%17.1%17.064846%3.458292%17.064846%3.458292%20.523139%20.5%150204
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 Silver Lake
Armed Forces
Employed
Unemployed
Not in Labor Force
75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-190.000000%4.807692%0.000000%95.192308%95%50.000000%19.565217%20%0.000000%80.434783%80%90.000000%37.333333%37%0.000000%62.666667%63%280.000000%32.857143%33%8.571429%9%58.571429%59%230.000000%42.500000%43%17.500000%18%40.000000%40%170.000000%91.743119%92%0.000000%8.256881%8%2000.000000%90.502793%91%0.000000%9.497207%9%3242.389078%86.006826%86%4.436860%7.167235%7%2590.000000%98.084291%98%0.000000%1.915709%2560.000000%83.146067%83%10.112360%10%6.741573%7%1480.000000%80.281690%80%9.859155%10%9.859155%10%570.000000%76.923077%77%23.076923%23%0.000000%500.000000%39.361702%39%42.553191%43%18.085106%18%370%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 Silver Lake
Female
Male
0%20%40%60%80%100%FM75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-1912.500%12.5%0.000%0%69.231%69.2%0.000%0%44.444%44.4%30.769%30.8%42.857%42.9%26.190%26.2%37.037%37.0%53.846%53.8%92.857%92.9%91.045%91.0%86.339%86.3%94.857%94.9%89.423%89.4%87.831%87.8%97.110%97.1%100.000%100%72.973%73.0%100.000%100%66.667%66.7%86.000%86.0%100.000%100%68.085%68.1%39.024%39.0%39.623%39.6%
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 Kenosha County and Silver Lake
More Females More Males
Kenosha County
Silver Lake
1,000%500%0%M:FFM75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-19-1,000.000000%-2.366864%-1,000.000000%> 1000%0.000050-1,000.000000%-1,000.000000%> 1000%0.233645%0.000090-33.333333%-33.333333%33.3%6.317044%0.7500.751612-9.090909%-9.090909%9.1%6.493506%0.9170.921211-42.857143%-42.857143%42.9%16.319734%0.7000.7010756.410256%4.552632%56.410256%56.4%1.5641.56781225.063291%10.267763%5.063291%5.1%1.0511.0515816678.494624%10.287814%78.494624%78.5%1.7851.7893166-90.909091%-90.909091%90.9%10.136646%0.5240.5216888-20.895522%-20.895522%20.9%11.165676%0.8270.838167207.142857%11.889401%207.142857%207.1%3.0713.071443-12.222222%77.777778%77.777778%77.8%1.7781.781832-0.215285%31.250000%31.250000%31.3%1.3131.311621
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 county subdivisions in Kenosha County.
Scope: population of Kenosha County, Silver Lake, and selected other county subdivisions in Kenosha Counties
Silver Lake
Kenosha County
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%0.000%0%30.769%30.8%26.190%26.2%53.846%53.8%91.045%91.0%94.857%94.9%87.831%87.8%100.000%100%100.000%100%86.000%86.0%68.085%68.1%39.623%39.6%
% employed percentage of male population in Silver Lake

Female Employment by Age#7

Percentage of female population employed by age cohort. Gray areas represent percentile bands from the county subdivisions in Kenosha County.
Scope: population of Kenosha County, Silver Lake, and selected other county subdivisions in Kenosha Counties
Silver Lake
Kenosha County
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0%20%40%60%80%100%%75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-1912.500%12.5%69.231%69.2%44.444%44.4%42.857%42.9%37.037%37.0%92.857%92.9%86.339%86.3%89.423%89.4%97.110%97.1%72.973%73.0%66.667%66.7%100.000%100%39.024%39.0%
% employed percentage of female population in Silver Lake

Employment among the Married#8

Selected family employment structures as a percentage of all married couple households.
Scope: households in Kenosha County and Silver Lake
Silver Lake
Kenosha County
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 …234.437086%29.657019%34.437086%34.4%1565.960265%9.687134%5.960265%6.0%273.090508%1.211310%3.090508%3.1%140.000000%0.000000%0.0%0.414924%036.644592%28.345324%36.644592%36.6%1667.726269%8.439016%7.726269%7.7%352.869757%6.210473%2.869757%2.9%139.271523%16.034800%9.271523%9.3%42
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 Kenosha County and Silver Lake
Silver Lake
Kenosha County
0%20%40%60%CountBoth WorkStay at Home MomsStay at Home DadsNeither Work79.187817%72.386475%79.187817%79.2%15613.705584%23.644234%13.705584%13.7%277.106599%2.956550%7.106599%7.1%140.000000%0.000000%0.0%1.012741%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 Kenosha County and Silver Lake
Silver Lake
Kenosha County
0%20%40%60%CountBoth WorkLadies Who LunchGents Who LunchNeither Work64.843750%48.018820%64.843750%64.8%16613.671875%14.296242%13.671875%13.7%355.078125%10.520946%5.078125%5.1%1316.406250%27.163993%16.406250%16.4%42

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 Kenosha County and Silver Lake
Silver Lake
Kenosha County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma394.602273%83.748627%94.602273%94.6%33383.548983%74.678712%83.548983%83.5%45285.175879%70.646840%85.175879%85.2%33981.102362%53.291909%81.102362%81.1%103
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 Kenosha County and Silver Lake
Female Male
Kenosha County
Silver Lake
Shaded bar tips show excess over facing bar.
40%20%0%20%40%%WhiteHispanic1BlackAsianMixedOther-17.509728%-1.757572%-25.369993%-4.583701%-19.267300%19.3%17.509728%25.369993%17.509728%17.5%18.369%18.4%-0.000000%-25.230269%-9.848782%0.000000%0.0%0.000000%0.000000%25.230269%0.000000%0.0%0.000%0%-0.000000%-47.590361%-3.190507%0.000000%0.0%0.000000%0.000000%47.590361%0.000000%0.0%0.000%0%-0.000000%-21.914008%-15.572792%0.000000%0.0%0.000000%0.000000%21.914008%0.000000%0.0%0.000%0%-0.000000%-37.828571%-10.193508%0.000000%0.0%0.000000%0.000000%37.828571%0.000000%0.0%0.000%0%-0.000000%-24.618149%-2.904787%0.000000%0.0%0.000000%0.000000%24.618149%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 Kenosha County and Silver Lake
Female Male
Kenosha County
Silver Lake
Shaded bar tips show excess over facing bar.
15%10%5%0%5%10%%WhiteHispanic1BlackAsianMixedOther-6.919946%-5.317115%-6.919946%6.9%6.919946%0.213647%5.317115%1.117453%7.133593%7.1%7.029%7.03%-0.000000%-7.193676%0.000000%0.0%0.000000%0.000000%7.193676%2.685320%0.000000%0.0%0.000%0%-0.000000%-13.645888%-2.679149%0.000000%0.0%0.000000%0.000000%13.645888%0.000000%0.0%0.000%0%-0.000000%-4.012672%0.000000%0.0%0.000000%0.000000%4.012672%0.009520%0.000000%0.0%0.000%0%-0.000000%-8.739650%0.000000%0.0%0.000000%0.000000%8.739650%1.660350%0.000000%0.0%0.000%0%-0.000000%-4.485219%0.000000%0.0%0.000000%0.000000%4.485219%2.433020%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 Kenosha County and Silver Lake
Female Male
Kenosha County
Silver Lake
Shaded bar tips show excess over facing bar.
0.0%0.5%1.0%%WhiteHispanic1BlackAsianMixedOther-0.000000%-0.103670%0.000000%0.00%0.000000%0.907912%0.103670%0.360680%0.907912%0.91%0.464%0.46%-0.000000%-0.000000%0.000000%0.00%0.000000%0.000000%0.000000%0.866895%0.000000%0.00%0.000%0%-0.000000%-0.000000%0.000000%0.00%0.000000%0.000000%0.000000%0.445259%0.000000%0.00%0.000%0%-0.000000%-0.000000%0.000000%0.00%0.000000%0.000000%0.000000%0.000000%0.000000%0.00%0.000%0%-0.000000%-0.000000%0.000000%0.00%0.000000%0.000000%0.000000%1.485714%0.000000%0.00%0.000%0%-0.000000%-0.000000%0.000000%0.00%0.000000%0.000000%0.000000%0.000000%0.000000%0.00%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 Kenosha County and Silver Lake
Female Male
Kenosha County
Silver Lake
Shaded bar tips show excess over facing bar.
100%50%0%50%100%%AsianOtherWhiteHispanic1BlackMixed-100.000000%-62.513200%-100.000000%100.0%100.000000%0.000000%62.513200%15.572792%100.000000%100.0%100.000%100%-100.000000%-72.477064%-100.000000%100.0%100.000000%0.000000%72.477064%2.904787%100.000000%100.0%100.000%100%-80.732700%-70.046306%-80.732700%80.7%80.732700%1.757572%70.046306%4.583701%82.490272%82.5%81.631%81.6%-0.000000%-64.920949%0.000000%0.0%0.000000%100.000000%64.920949%9.848782%100.000000%100.0%100.000%100%-0.000000%-49.219131%0.000000%0.0%0.000000%100.000000%49.219131%3.190507%100.000000%100.0%100.000%100%-0.000000%-100.000000%-51.977921%-100.000000%100.0%0.000000%51.977921%10.193508%0.000000%0.0%100.000%100%
% percentage of both sexes combined
1white Hispanic

Employment Status by County Subdivision in the Chicago Area

There are 226 county subdivisions in the Chicago Area. This section compares Silver Lake to the 50 most populous county subdivisions in the Chicago Area and to those entities that contain or substantially overlap with Silver Lake. The least populous of the compared county subdivisions has a population of 54,390.

Employed Working-Age Men by County Subdivision#20

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of Silver Lake, selected other county subdivisions in the Chicago Area, and entities that contain Silver Lake
0%20%40%60%80%Count#Frankfort TownshipFrankfortWheatland TownshipWheatlandNaperville TownshipNapervilleNew Trier TownshipNew TrierOswego TownshipOswegoPlainfield TownshipPlainfieldNorthfield TownshipNorthfieldSilver Lake Joint No. 1 School DistrictSilver Lk Joint No. 1Vernon TownshipVernonAlgonquin TownshipAlgonquinWilmot Union High School DistrictWilmotWheeling TownshipWheelingDu Page TownshipDu PageYork TownshipEvanston TownshipEvanstonSchaumburg TownshipSchaumburgMilton TownshipMiltonBloomingdale TownshipBloomingdalePalatine TownshipPalatineWayne TownshipWayneLisle TownshipLisleSt. John TownshipSt. JohnDowners Grove TownshipDowners GrvWarren TownshipWarrenDundee TownshipDundeeAurora TownshipAuroraElk Grove TownshipElk GrvElgin TownshipElginHanover TownshipHanoverOrland TownshipOrlandAddison TownshipAddisonMaine TownshipMaineSilver LakeSilver LakeAvon TownshipLyons TownshipLyonsLeyden TownshipLeydenWorth TownshipWorthChicago, Naperville, and Elgin Metro AreaChicago AreaWisconsinProviso TownshipProvisoCicero TownshipCiceroWaukegan TownshipWaukeganPalos TownshipPalosMidwestUnited States of AmericaUnited StatesKenosha CountyKenoshaChicagoEast North CentralBremen TownshipBremenJoliet TownshipJolietNiles TownshipNilesKenoshaBerwyn TownshipBerwynNorth TownshipNRich TownshipBloom TownshipBloomLockport TownshipLockportThornton TownshipThorntonCalumet TownshipCalumet95.971014%95.971014%96.0%3,311194.601227%94.601227%94.6%6,168293.965408%93.965408%94.0%7,443393.737075%93.737075%93.7%3,173493.252132%93.252132%93.3%3,828593.239341%93.239341%93.2%5,489692.817434%92.817434%92.8%4,174792.580645%92.580645%92.6%28792.371617%92.371617%92.4%4,335892.167188%92.167188%92.2%5,601991.781768%91.781768%91.8%1,32991.560055%91.560055%91.6%9,9481091.382646%91.382646%91.4%6,1401191.077773%91.077773%91.1%6,9211290.865585%90.865585%90.9%4,3671390.865545%90.865545%90.9%8,1571490.672074%90.672074%90.7%6,2601590.604575%90.604575%90.6%6,6541690.562660%90.562660%90.6%7,0821790.456527%90.456527%90.5%3,9431890.366782%90.366782%90.4%6,5291990.153423%90.153423%90.2%3,9372090.080764%90.080764%90.1%7,9192190.069395%90.069395%90.1%3,7642289.949958%89.949958%89.9%4,3142389.640761%89.640761%89.6%10,08110.1k2489.543269%89.543269%89.5%5,9602589.394358%89.394358%89.4%6,4652689.323290%89.323290%89.3%7,4712789.268391%89.268391%89.3%4,4172888.874842%88.874842%88.9%5,6242988.477574%88.477574%88.5%7,0033087.830688%87.830688%87.8%16687.830688%87.830688%87.8%16687.217903%87.217903%87.2%4,5993186.711334%86.711334%86.7%6,2123286.661721%86.661721%86.7%5,8413386.546302%86.546302%86.5%7,4303486.387347%86.387347%86.4%549,154549k86.186197%86.186197%86.2%301,656302k86.115652%86.115652%86.1%8,4293585.370106%85.370106%85.4%5,3863685.277444%85.277444%85.3%4,9643785.241075%85.241075%85.2%2,3163884.507990%84.507990%84.5%3,510,6363.51M83.826751%83.826751%83.8%16,918,49516.9M83.580843%83.580843%83.6%9,00583.502988%83.502988%83.5%160,537161k3983.320331%83.320331%83.3%2,401,9262.40M82.704040%82.704040%82.7%5,0164082.397761%82.397761%82.4%5,2994181.981544%81.981544%82.0%5,0644281.179690%81.179690%81.2%5,3404381.032864%81.032864%81.0%3,4524481.018469%81.018469%81.0%7,5894577.601187%77.601187%77.6%3,6624674.505263%74.505263%74.5%3,5394772.673527%72.673527%72.7%3,3194869.122876%69.122876%69.1%6,9984964.871194%64.871194%64.9%3,32450
Count number of employed 35 to 44 year old men
# rank of county subdivision out of 50 by percentage employed 35 to 44 year old men

Employment Status by County Subdivision in Wisconsin

There are 1,927 county subdivisions in Wisconsin. This section compares Silver Lake to the 50 most populous county subdivisions in Wisconsin and to those entities that contain or substantially overlap with Silver Lake. The least populous of the compared county subdivisions has a population of 16,289.

Employed Working-Age Men by County Subdivision#25

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of Silver Lake, selected other county subdivisions in Wisconsin, and entities that contain Silver Lake
0%20%40%60%80%Count#MuskegoMequonGermantownNew BerlinOak CreekWest BendMenomonee FallsTown of Grand ChuteGrand ChuteStevens PointHowardDe PereOconomowocSilver Lake Joint No. 1 School DistrictSilver Lk Joint No. 1BrookfieldWilmot Union High School DistrictWilmotWauwatosaNeenahMount PleasantMt PleasantCaledoniaSun PrairieManitowocMadisonAppletonBeaver DamMarshfieldSilver LakeSilver LakeWaukeshaMiddletonSouth MilwaukeeS MilwaukeeWisconsin RapidsOnalaskaEau ClaireChicago, Naperville, and Elgin Metro AreaChicago AreaSheboyganWisconsinWest AllisGreenfieldJanesvilleMidwestUnited States of AmericaUnited StatesKenosha CountyKenoshaMenomonieEast North CentralTown of MenashaMenashaFond du LacWausauPleasant PrairieKenoshaLa CrosseGreen BayCudahyMilwaukeeAshwaubenonBeloitFitchburgRacineSuperiorFranklinOshkosh98.058902%98.058902%98.1%1,465196.724138%96.724138%96.7%1,122296.606156%96.606156%96.6%1,224395.799458%95.799458%95.8%2,121494.341801%94.341801%94.3%2,451593.692565%93.692565%93.7%2,243693.540670%93.540670%93.5%1,955793.492209%93.492209%93.5%1,020893.407534%93.407534%93.4%1,091993.065998%93.065998%93.1%1,1141092.941999%92.941999%92.9%1,3301192.846154%92.846154%92.8%1,2071292.580645%92.580645%92.6%28792.424942%92.424942%92.4%2,0011391.781768%91.781768%91.8%1,32991.573927%91.573927%91.6%2,8801491.207349%91.207349%91.2%1,3901590.369800%90.369800%90.4%1,1731690.359712%90.359712%90.4%1,2561790.322581%90.322581%90.3%2,0441888.790723%88.790723%88.8%1,6081988.756525%88.756525%88.8%13,26213.3k2088.514327%88.514327%88.5%3,6762188.347458%88.347458%88.3%8342287.915743%87.915743%87.9%7932387.830688%87.830688%87.8%16687.830688%87.830688%87.8%16687.752248%87.752248%87.8%4,3922487.537388%87.537388%87.5%8782587.068966%87.068966%87.1%1,1112687.001024%87.001024%87.0%8502786.996904%86.996904%87.0%8432886.411830%86.411830%86.4%3,0972986.387347%86.387347%86.4%549,154549k86.371047%86.371047%86.4%2,6493086.186197%86.186197%86.2%301,656302k85.839844%85.839844%85.8%3,5163184.992643%84.992643%85.0%1,7333284.875740%84.875740%84.9%3,5863384.507990%84.507990%84.5%3,510,6363.51M83.826751%83.826751%83.8%16,918,49516.9M83.580843%83.580843%83.6%9,00583.472454%83.472454%83.5%5003483.320331%83.320331%83.3%2,401,9262.40M83.119109%83.119109%83.1%9703582.684755%82.684755%82.7%2,3163682.453077%82.453077%82.5%1,8893782.231699%82.231699%82.2%1,1573881.179690%81.179690%81.2%5,3403980.587748%80.587748%80.6%1,9474079.275686%79.275686%79.3%4,9694178.614200%78.614200%78.6%9194278.119364%78.119364%78.1%27,72327.7k4377.018634%77.018634%77.0%7444476.950355%76.950355%77.0%1,5194576.824911%76.824911%76.8%1,5054676.630435%76.630435%76.6%3,9484774.801061%74.801061%74.8%1,1284872.924458%72.924458%72.9%1,9504970.366448%70.366448%70.4%3,32250
Count number of employed 35 to 44 year old men
# rank of county subdivision out of 50 by percentage employed 35 to 44 year old men

Employment Status by County Subdivision in the Midwest

There are 19,478 county subdivisions in the Midwest. This section compares Silver Lake to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with Silver Lake. The least populous of the compared county subdivisions has a population of 112,821.

Employed Working-Age Men by County Subdivision#30

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of Silver Lake, selected other county subdivisions in the Midwest, and entities that contain Silver Lake
0%20%40%60%80%Count#Overland ParkOlatheSilver Lake Joint No. 1 School DistrictSilver Lk Joint No. 1Wilmot Union High School DistrictWilmotWheeling TownshipWheelingYork TownshipSchaumburg TownshipSchaumburgMilton TownshipMiltonBloomingdale TownshipBloomingdalePalatine TownshipPalatineLisle TownshipLisleDowners Grove TownshipDowners GrvAurora TownshipAuroraAnn ArborMadisonWashington TownshipWashingtonSioux FallsMaine TownshipMaineSterling HeightsSterling HtsSilver LakeSilver LakeLincolnFargoWorth TownshipWorthChicago, Naperville, and Elgin Metro AreaChicago AreaCedar RapidsMinneapolisWisconsinProviso TownshipProvisoOmahaLawrence TownshipLawrenceWichitaMidwestKansas CityBlue TownshipWayne TownshipWayneSt. PaulUnited States of AmericaUnited StatesKenosha CountyKenoshaChicagoEast North CentralColumbusCapital TownshipCapitalWarrenKaw TownshipNorth TownshipNTopekaMilwaukeeGrand RapidsSt. LouisRockford TownshipRockfordCincinnatiSpringfield TownshipSpringfieldToledoAkronThornton TownshipThorntonCenter TownshipCtrDaytonClevelandDetroit93.627366%93.627366%93.6%10,78410.8k193.479924%93.479924%93.5%9,778292.580645%92.580645%92.6%28791.781768%91.781768%91.8%1,32991.560055%91.560055%91.6%9,948391.077773%91.077773%91.1%6,921490.865545%90.865545%90.9%8,157590.672074%90.672074%90.7%6,260690.604575%90.604575%90.6%6,654790.562660%90.562660%90.6%7,082890.366782%90.366782%90.4%6,529990.080764%90.080764%90.1%7,9191089.640761%89.640761%89.6%10,08110.1k1189.300338%89.300338%89.3%5,0161288.756525%88.756525%88.8%13,26213.3k1388.717454%88.717454%88.7%7,3601488.706564%88.706564%88.7%8,2711588.477574%88.477574%88.5%7,0031687.982401%87.982401%88.0%6,9991787.830688%87.830688%87.8%16687.830688%87.830688%87.8%16687.795961%87.795961%87.8%15,12915.1k1887.656994%87.656994%87.7%6,0721986.546302%86.546302%86.5%7,4302086.387347%86.387347%86.4%549,154549k86.368701%86.368701%86.4%6,9762186.339842%86.339842%86.3%24,41024.4k2286.186197%86.186197%86.2%301,656302k86.115652%86.115652%86.1%8,4292386.096143%86.096143%86.1%24,28624.3k2485.843794%85.843794%85.8%6,1552585.168183%85.168183%85.2%19,85119.9k2684.507990%84.507990%84.5%3,510,6363.51M84.492648%84.492648%84.5%8,1022784.271268%84.271268%84.3%7,6672884.155952%84.155952%84.2%8,1162983.979482%83.979482%84.0%15,55315.6k3083.826751%83.826751%83.8%16,918,49516.9M83.580843%83.580843%83.6%9,00583.502988%83.502988%83.5%160,537161k3183.320331%83.320331%83.3%2,401,9262.40M83.115810%83.115810%83.1%45,27945.3k3282.023792%82.023792%82.0%5,5853381.783681%81.783681%81.8%6,4653481.379310%81.379310%81.4%9,2043581.018469%81.018469%81.0%7,5893680.647875%80.647875%80.6%5,7513778.119364%78.119364%78.1%27,72327.7k3877.964562%77.964562%78.0%8,5803977.165002%77.165002%77.2%15,53115.5k4075.508970%75.508970%75.5%7,4924175.413111%75.413111%75.4%12,45912.5k4274.964516%74.964516%75.0%6,8664373.599363%73.599363%73.6%12,00712.0k4471.832579%71.832579%71.8%8,2554569.122876%69.122876%69.1%6,9984666.098861%66.098861%66.1%6,3254764.663494%64.663494%64.7%4,7564864.097134%64.097134%64.1%13,62013.6k4958.323492%58.323492%58.3%22,22322.2k50
Count number of employed 35 to 44 year old men
# rank of county subdivision out of 50 by percentage employed 35 to 44 year old men

Employment Status by County Subdivision in the United States

There are 35,600 county subdivisions in the United States. This section compares Silver Lake to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Silver Lake. The least populous of the compared county subdivisions has a population of 547,300.

Employed Working-Age Men by County Subdivision#35

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of Silver Lake, selected other county subdivisions in the United States, and entities that contain Silver Lake
0%20%40%60%80%Count#PlanoSeattle EastNortheast TarrantNE TarrantSilver Lake Joint No. 1 School DistrictSilver Lk Joint No. 1Wilmot Union High School DistrictWilmotNorthwest HarrisNW HarrisSan JoseAustinSalt Lake CitySalt Lk CityTownship 1:Charlotte1, CharlotteNortheast DallasNE DallasDenverTown of HempsteadHempsteadSilver LakeSilver LakeQueensHoustonSan FranciscoSeattleAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…TulsaChicago, Naperville, and Elgin Metro AreaChicago AreaWisconsinFort WorthSan DiegoSan Fernando ValleySan Fernando VlyManhattanSouthwest DallasSW DallasEast San Gabriel ValleyE San Gabriel VlyLong Beach-LakewoodLong Bch-LakewoodLos AngelesPhoenixWashingtonTampaMidwestBrooklynOrlandoUnited States of AmericaUnited StatesKenosha CountyKenoshaChicagoEl PasoEast North CentralLas VegasColumbusOntarioOceanside-EscondidoOceanside-Escond…AlbuquerqueBostonMiamiTucsonAtlantaSan Antonio CentralSan Antonio CntrlSacramentoSan BernardinoMilwaukeeBronxFresnoBaltimorePhiladelphiaDetroit93.125861%93.125861%93.1%38,54238.5k192.929857%92.929857%92.9%43,27043.3k292.587844%92.587844%92.6%37,54937.5k392.580645%92.580645%92.6%28791.781768%91.781768%91.8%1,32991.358362%91.358362%91.4%50,22750.2k490.463389%90.463389%90.5%122,150122k590.234987%90.234987%90.2%62,20862.2k689.558063%89.558063%89.6%63,34863.3k788.885729%88.885729%88.9%53,13553.1k888.524499%88.524499%88.5%95,88095.9k988.135281%88.135281%88.1%47,89847.9k1087.849906%87.849906%87.8%40,92440.9k1187.830688%87.830688%87.8%16687.830688%87.830688%87.8%16687.683423%87.683423%87.7%143,173143k1287.620894%87.620894%87.6%208,826209k1387.587463%87.587463%87.6%63,96664.0k1487.270578%87.270578%87.3%70,13570.1k1586.940737%86.940737%86.9%99,86199.9k1686.642310%86.642310%86.6%32,49032.5k1786.387347%86.387347%86.4%549,154549k86.186197%86.186197%86.2%301,656302k86.152627%86.152627%86.2%47,84447.8k1886.039514%86.039514%86.0%138,398138k1985.753475%85.753475%85.8%111,910112k2085.725962%85.725962%85.7%102,788103k2185.460025%85.460025%85.5%57,28357.3k2285.286657%85.286657%85.3%50,77250.8k2385.186577%85.186577%85.2%34,01534.0k2485.164431%85.164431%85.2%166,723167k2585.138122%85.138122%85.1%176,814177k2684.835284%84.835284%84.8%39,14339.1k2784.549061%84.549061%84.5%36,87136.9k2884.507990%84.507990%84.5%3,510,6363.51M84.123947%84.123947%84.1%145,081145k2983.906583%83.906583%83.9%34,27534.3k3083.826751%83.826751%83.8%16,918,49516.9M83.580843%83.580843%83.6%9,00583.502988%83.502988%83.5%160,537161k3183.435482%83.435482%83.4%25,45725.5k3283.320331%83.320331%83.3%2,401,9262.40M83.264614%83.264614%83.3%110,463110k3383.115810%83.115810%83.1%45,27945.3k3483.010786%83.010786%83.0%37,01737.0k3582.905810%82.905810%82.9%36,84536.8k3682.351470%82.351470%82.4%32,93432.9k3782.260151%82.260151%82.3%33,06233.1k3881.570097%81.570097%81.6%57,48057.5k3980.378047%80.378047%80.4%40,09940.1k4079.983871%79.983871%80.0%33,72233.7k4179.851538%79.851538%79.9%34,63834.6k4279.525248%79.525248%79.5%56,35056.4k4379.087004%79.087004%79.1%41,61441.6k4478.119364%78.119364%78.1%27,72327.7k4577.746048%77.746048%77.7%65,61365.6k4675.839532%75.839532%75.8%31,09831.1k4774.017917%74.017917%74.0%26,60526.6k4873.120938%73.120938%73.1%66,83466.8k4958.323492%58.323492%58.3%22,22322.2k50
Count number of employed 35 to 44 year old men
# rank of county subdivision out of 50 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

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State:
Wisconsin
County:
Kenosha
Metro Area:
Chicago Area
Village:
Silver Lake
ZIP Codes:
53168, 53170
Elementary School District:
Silver Lake Joint No. 1
Secondary School District:
Wilmot
Congressional District:
WI-1
State Senate District:
WI-21
Assembly District:
WI-61
Neighboring Towns:
Salem
Nearby Towns:
Brighton, Burlington, Randall, Wheatland
Nearby Townships:
Antioch, Burton