Employment Status in Ontario, Vernon County, Wisconsin (Village)

Employment Status#1

Percentage of population aged 25 to 64 years old.
Scope: population of Vernon County and Ontario
Ontario
Vernon County
0%10%20%30%40%50%CountArmed ForcesEmployed1UnemployedOther20.000000%0.000000%0.000000%0.0%051.129944%57.128823%51.129944%51.1%1810.282486%2.139928%0.282486%0.3%148.587571%40.731249%48.587571%48.6%172
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 Vernon County and Ontario
Ontario
Vernon County
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%00-47.979798%-47.979798%-47.979798%48.0%47.979798%7.148407%47.979798%7.148407%55.128205%55.1%9586-0.000000%-0.505051%-0.000000%-0.505051%-0.505051%0.5%0.000000%0.000000%0.000000%0.0%10-44.871795%-6.643357%-44.871795%-6.643357%-51.515152%51.5%44.871795%44.871795%44.871795%44.9%10270
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 Ontario
Armed Forces
Employed
Unemployed
Not in Labor Force
75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-190.000000%7.407407%7%0.000000%92.592593%93%20.000000%0.000000%0.000000%100.000000%100%00.000000%31.818182%32%0.000000%68.181818%68%70.000000%46.428571%46%0.000000%53.571429%54%130.000000%63.636364%64%0.000000%36.363636%36%70.000000%70.370370%70%0.000000%29.629630%30%190.000000%45.454545%45%1.818182%52.727273%53%250.000000%88.571429%89%0.000000%11.428571%11%620.000000%70.000000%70%0.000000%30.000000%30%210.000000%100.000000%100%0.000000%0.000000%130.000000%100.000000%100%0.000000%0.000000%50.000000%18.181818%18%0.000000%81.818182%82%20.000000%14.705882%15%0.000000%85.294118%85%50%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 Ontario
Female
Male
0%20%40%60%80%100%FM75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-1911.765%11.8%0.000%0%0.000%0%0.000%0%0.000%0%77.778%77.8%50.000%50.0%43.750%43.8%71.429%71.4%50.000%50.0%55.556%55.6%100.000%100%35.294%35.3%61.905%61.9%87.097%87.1%89.744%89.7%59.091%59.1%100.000%100%100.000%100%100.000%100%100.000%100%0.000%0%100.000%100%0.000%0%15.789%15.8%13.333%13.3%
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 Vernon County and Ontario
More Females More Males
Vernon County
Ontario
1,000%500%0%M:FFM75+62-6460-6155-5945-5435-4430-3425-2922-2420-2116-19-1,000.000000%-1,000.000000%> 1000%12.903226%0.000020-4.481793%16.666667%16.666667%16.7%1.1671.1767-150.000000%-150.000000%150.0%5.810398%0.4000.4052-11.111111%-11.111111%11.1%24.324324%0.9000.901098.333333%6.170483%8.333333%8.3%1.0831.08121329.629630%16.175156%29.629630%29.6%1.2961.302735-62.500000%-62.500000%62.5%19.922631%0.6150.62138-233.333333%-233.333333%233.3%15.221987%0.3000.30103-1,000.000000%-7.911392%-1,000.000000%> 1000%0.000050-1,000.000000%-1,000.000000%> 1000%21.022727%0.000020-50.000000%-50.000000%50.0%27.397260%0.6670.6732
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

Employment among the Married#6

Selected family employment structures as a percentage of all married couple households.
Scope: households in Vernon County and Ontario
Ontario
Vernon County
0%5%10%15%20%25%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 …222.727273%22.770960%22.727273%22.7%259.090909%8.354281%9.090909%9.1%100.000000%0.000000%0.0%2.070087%00.000000%0.000000%0.0%4.169747%017.272727%27.709596%17.272727%17.3%1917.272727%8.576076%17.272727%17.3%199.090909%7.526246%9.090909%9.1%1024.545455%18.823008%24.545455%24.5%27
1children under 18 present in the house 2no children under 18 present in the house

Employment among the Married With Children#7

Selected employment arrangements as a percentage of married couples with children under 18 present in the house.
Scope: households in Vernon County and Ontario
Ontario
Vernon County
0%20%40%60%CountBoth WorkStay at Home MomsStay at Home DadsNeither Work71.428571%60.941828%71.428571%71.4%2528.571429%22.358528%28.571429%28.6%100.000000%0.000000%0.0%5.540166%00.000000%0.000000%0.0%11.159478%0

Employment among the Married Without Children#8

Selected employment arrangements as a percentage of married couples without children under 18 present in the house.
Scope: households in Vernon County and Ontario
Ontario
Vernon County
0%10%20%30%40%CountBoth WorkLadies Who LunchGents Who LunchNeither Work25.333333%44.239849%25.333333%25.3%1925.333333%13.692162%25.333333%25.3%1913.333333%12.016053%13.333333%13.3%1036.000000%30.051936%36.000000%36.0%27

Employment by Educational Attainment#9

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Vernon County and Ontario
Ontario
Vernon County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma361.538462%82.736455%61.538462%61.5%1675.342466%79.889102%75.342466%75.3%5569.230769%73.676219%69.230769%69.2%6359.090909%34.080997%59.090909%59.1%26
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#10

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 Vernon County and Ontario
Female Male
Vernon County
Ontario
Shaded bar tips show excess over facing bar.
100%50%0%50%%OtherWhiteHispanic1BlackAsianMixed-47.368421%-20.073439%-32.812500%-21.315940%-67.441860%67.4%47.368421%32.812500%47.368421%47.4%61.290%61.3%-33.043478%-27.059095%-5.698716%-33.043478%33.0%33.043478%1.242236%27.059095%34.285714%34.3%33.636%33.6%-0.000000%-7.500000%-32.500000%0.000000%0.0%0.000000%0.000000%7.500000%0.000000%0.0%0.000%0%-0.000000%-56.989247%-43.010753%0.000000%0.0%0.000000%0.000000%56.989247%0.000000%0.0%0.000%0%-0.000000%-0.000000%-59.615385%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.0%0.000%0%-0.000000%-29.166667%0.000000%0.0%0.000000%0.000000%29.166667%19.166667%0.000000%0.0%0.000%0%
% percentage of both sexes combined
1white Hispanic

Unemployment by Race#11

Percentage unemployed of each ethno-racial group's population 16 to 64 years of age.
Scope: population of Vernon County and Ontario
Female Male
Vernon County
Ontario
Shaded bar tips show excess over facing bar.
6%4%2%0%2%4%%WhiteHispanic1BlackAsianMixedOther-0.000000%-0.869565%-2.290345%-0.869565%0.9%0.000000%2.290345%0.935090%0.000000%0.0%0.455%0.45%-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%2.150538%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%5.000000%0.000000%0.0%0.000%0%-0.000000%-0.000000%-7.339450%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.0%0.000%0%
% percentage of both sexes combined
1white Hispanic

Employment by Race#12

Percentage employed of each ethno-racial group's population 16 to 64 years of age.
Scope: population of Vernon County and Ontario
Female Male
Vernon County
Ontario
Shaded bar tips show excess over facing bar.
100%50%0%50%100%%WhiteAsianMixedOtherHispanic1Black-65.714286%-1.242236%-67.242189%-66.956522%67.0%65.714286%67.242189%5.698716%65.714286%65.7%66.364%66.4%-0.000000%-100.000000%-40.384615%-100.000000%100.0%0.000000%40.384615%59.615385%0.000000%0.0%100.000%100%-0.000000%-100.000000%-51.666667%-19.166667%-100.000000%100.0%0.000000%51.666667%0.000000%0.0%100.000%100%-32.558140%-45.871560%-32.558140%32.6%32.558140%20.073439%45.871560%21.315940%52.631579%52.6%38.710%38.7%-0.000000%-60.000000%0.000000%0.0%0.000000%0.000000%60.000000%32.500000%0.000000%0.0%0.000%0%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%43.010753%0.000000%0.0%0.000%0%
% percentage of both sexes combined
1white Hispanic

Employment Status by County Subdivision in Wisconsin

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

Employed Working-Age Men by County Subdivision#17

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of Ontario, selected other county subdivisions in Wisconsin, and entities that contain Ontario
0%20%40%60%80%Count#MuskegoMequonGermantownNew BerlinOak CreekWest BendMenomonee FallsTown of Grand ChuteGrand ChuteStevens PointHowardDe PereOconomowocBrookfieldWauwatosaNeenahMount PleasantMt PleasantCaledoniaSun PrairieOntarioOntarioManitowocMadisonAppletonBeaver DamMarshfieldWaukeshaMiddletonSouth MilwaukeeS MilwaukeeWisconsin RapidsOnalaskaEau ClaireSheboyganWisconsinWest AllisNorwalk-Ontario-Wilton School DistrictNorwalk-Ontario-W…ZIP Code 54651ZIP 54651GreenfieldJanesvilleMidwestUnited States of AmericaUnited StatesMenomonieEast North CentralTown of MenashaMenashaFond du LacWausauPleasant PrairieKenoshaLa CrosseGreen BayCudahyVernon CountyVernonMilwaukeeAshwaubenonBeloitFitchburgRacineSuperiorFranklinOshkosh960200Tract 960200960200-1B.G. 960200-198.058902%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%1,2071292.424942%92.424942%92.4%2,0011391.573927%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%2,0441889.743590%89.743590%89.7%3589.743590%89.743590%89.7%3588.790723%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%7932387.752248%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%3,0972986.371047%86.371047%86.4%2,6493086.186197%86.186197%86.2%301,656302k85.839844%85.839844%85.8%3,5163185.714286%85.714286%85.7%24085.227273%85.227273%85.2%7584.992643%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%16,918,49516.9M83.472454%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%9194278.597340%78.597340%78.6%1,30078.119364%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%3,3225058.295964%58.295964%58.3%1300.000000%0.000000%0.0%0
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 Ontario to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with Ontario. The least populous of the compared county subdivisions has a population of 112,821.

Employed Working-Age Men by County Subdivision#22

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of Ontario, selected other county subdivisions in the Midwest, and entities that contain Ontario
0%20%40%60%80%Count#Overland ParkOlatheWheeling TownshipWheelingYork TownshipSchaumburg TownshipSchaumburgMilton TownshipMiltonBloomingdale TownshipBloomingdalePalatine TownshipPalatineLisle TownshipLisleDowners Grove TownshipDowners GrvOntarioOntarioAurora TownshipAuroraAnn ArborMadisonWashington TownshipWashingtonSioux FallsMaine TownshipMaineSterling HeightsSterling HtsLincolnFargoWorth TownshipWorthCedar RapidsMinneapolisWisconsinProviso TownshipProvisoOmahaLawrence TownshipLawrenceNorwalk-Ontario-Wilton School DistrictNorwalk-Ontario-W…ZIP Code 54651ZIP 54651WichitaMidwestKansas CityBlue TownshipWayne TownshipWayneSt. PaulUnited States of AmericaUnited StatesChicagoEast North CentralColumbusCapital TownshipCapitalWarrenKaw TownshipNorth TownshipNTopekaVernon CountyVernonMilwaukeeGrand RapidsSt. LouisRockford TownshipRockfordCincinnatiSpringfield TownshipSpringfieldToledoAkronThornton TownshipThorntonCenter TownshipCtrDaytonClevelandDetroit960200Tract 960200960200-1B.G. 960200-193.627366%93.627366%93.6%10,78410.8k193.479924%93.479924%93.5%9,778291.560055%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%7,9191089.743590%89.743590%89.7%3589.743590%89.743590%89.7%3589.640761%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%6,9991787.795961%87.795961%87.8%15,12915.1k1887.656994%87.656994%87.7%6,0721986.546302%86.546302%86.5%7,4302086.368701%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%6,1552585.714286%85.714286%85.7%24085.227273%85.227273%85.2%7585.168183%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%16,918,49516.9M83.502988%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%5,7513778.597340%78.597340%78.6%1,30078.119364%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%22,22322.2k5058.295964%58.295964%58.3%1300.000000%0.000000%0.0%0
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 Ontario to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Ontario. The least populous of the compared county subdivisions has a population of 547,300.

Employed Working-Age Men by County Subdivision#27

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of Ontario, selected other county subdivisions in the United States, and entities that contain Ontario
0%20%40%60%80%Count#PlanoSeattle EastNortheast TarrantNE TarrantNorthwest HarrisNW HarrisSan JoseAustinOntarioOntarioSalt Lake CitySalt Lk CityTownship 1:Charlotte1, CharlotteNortheast DallasNE DallasDenverTown of HempsteadHempsteadQueensHoustonSan FranciscoSeattleAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…TulsaWisconsinFort WorthSan DiegoSan Fernando ValleySan Fernando VlyManhattanNorwalk-Ontario-Wilton School DistrictNorwalk-Ontario-W…Southwest DallasSW DallasEast San Gabriel ValleyE San Gabriel VlyZIP Code 54651ZIP 54651Long Beach-LakewoodLong Bch-LakewoodLos AngelesPhoenixWashingtonTampaMidwestBrooklynOrlandoUnited States of AmericaUnited StatesChicagoEl PasoEast North CentralLas VegasColumbusOntarioOceanside-EscondidoOceanside-Escond…AlbuquerqueBostonMiamiTucsonAtlantaSan Antonio CentralSan Antonio CntrlSacramentoSan BernardinoVernon CountyVernonMilwaukeeBronxFresnoBaltimorePhiladelphiaDetroit960200Tract 960200960200-1B.G. 960200-193.125861%93.125861%93.1%38,54238.5k192.929857%92.929857%92.9%43,27043.3k292.587844%92.587844%92.6%37,54937.5k391.358362%91.358362%91.4%50,22750.2k490.463389%90.463389%90.5%122,150122k590.234987%90.234987%90.2%62,20862.2k689.743590%89.743590%89.7%3589.743590%89.743590%89.7%3589.558063%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%40,92440.9k1187.683423%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%32,49032.5k1786.186197%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%102,788103k2185.714286%85.714286%85.7%24085.460025%85.460025%85.5%57,28357.3k2285.286657%85.286657%85.3%50,77250.8k2385.227273%85.227273%85.2%7585.186577%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%16,918,49516.9M83.502988%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%41,61441.6k4478.597340%78.597340%78.6%1,30078.119364%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%22,22322.2k5058.295964%58.295964%58.3%1300.000000%0.000000%0.0%0
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:
Vernon
Village:
Ontario
ZIP Code:
54651
Unified School District:
Norwalk-Ontario-Wilton
Congressional District:
WI-3
State Senate District:
WI-32
Assembly District:
WI-96
Neighboring Towns:
Sheldon, Whitestown
Nearby Towns:
Clinton, Forest, Jefferson, Ridgeville, Stark, Union, Wellington