Employment Status in the Wayne Township, Monroe County, Ohio (Township)

Employment Status#1

Percentage of population aged 25 to 64 years old.
Scope: population of Monroe County and the Wayne Township
Wayne Township
Monroe County
0%10%20%30%40%50%60%CountArmed ForcesEmployed1UnemployedOther20.000000%0.000000%0.0%0.144227%037.450199%46.127089%37.450199%37.5%940.000000%0.000000%0.0%3.181471%062.549801%50.547213%62.549801%62.5%157
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 Monroe County and the Wayne Township
Wayne Township
Monroe County
50%0%50%FMArmed ForcesEmployed1UnemployedOther2-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.000000%0.0%00-26.086957%-26.086957%-26.086957%26.1%26.086957%20.971867%26.086957%20.971867%47.058824%47.1%3064-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.000000%0.0%00-52.941176%-20.971867%-52.941176%-20.971867%-73.913043%73.9%52.941176%52.941176%52.941176%52.9%8572
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 the Wayne Township
Armed Forces
Employed
Unemployed
Not in Labor Force
75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-190.000000%0.000000%0.000000%100.000000%100%00.000000%0.000000%0.000000%100.000000%100%00.000000%0.000000%0.000000%100.000000%100%00.000000%0.000000%0.000000%0.000000%00.000000%100.000000%100%0.000000%0.000000%110.000000%0.000000%0.000000%100.000000%100%00.000000%85.714286%86%0.000000%14.285714%14%360.000000%85.365854%85%0.000000%14.634146%15%350.000000%0.000000%0.000000%100.000000%100%00.000000%37.500000%38%0.000000%62.500000%63%120.000000%0.000000%0.000000%0.000000%00.000000%0.000000%0.000000%0.000000%00.000000%0.000000%0.000000%100.000000%100%00%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 the Wayne Township
Female
Male
0%20%40%60%80%100%FM75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-190.000%0%0.000%0%0.000%0%0.000%0%0.000%0%0.000%0%0.000%0%0.000%0%0.000%0%100.000%100%0.000%0%0.000%0%72.727%72.7%100.000%100%100.000%100%77.778%77.8%0.000%0%0.000%0%0.000%0%100.000%100%0.000%0%0.000%0%0.000%0%0.000%0%0.000%0%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 Monroe County and the Wayne Township
More Females More Males
Monroe County
Wayne Township
0%10%20%30%40%50%M:FFM45-5435-4425.000000%23.793677%25.000000%25.0%1.2501.25162050.000000%21.828358%50.000000%50.0%1.5001.501421
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 Monroe County and the Wayne Township
Wayne Township
Monroe 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 …217.948718%13.291536%17.948718%17.9%1425.641026%12.633229%25.641026%25.6%200.000000%0.000000%0.0%0.376176%07.692308%1.316614%7.692308%7.7%610.256410%20.062696%10.256410%10.3%80.000000%0.000000%0.0%11.943574%011.538462%9.655172%11.538462%11.5%926.923077%30.721003%26.923077%26.9%21
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 Monroe County and the Wayne Township
Wayne Township
Monroe County
0%10%20%30%40%50%CountBoth WorkStay at Home MomsStay at Home DadsNeither Work35.000000%48.127128%35.000000%35.0%1450.000000%45.743473%50.000000%50.0%200.000000%0.000000%0.0%1.362089%015.000000%4.767310%15.000000%15.0%6

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 Monroe County and the Wayne Township
Wayne Township
Monroe County
0%10%20%30%40%50%CountBoth WorkLadies Who LunchGents Who LunchNeither Work21.052632%27.717627%21.052632%21.1%80.000000%0.000000%0.0%16.500650%023.684211%13.339108%23.684211%23.7%955.263158%42.442616%55.263158%55.3%21

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 Monroe County and the Wayne Township
Wayne Township
Monroe County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma30.000000%0.000000%0.0%72.652582%0100.000000%68.560782%100.000000%100.0%2356.603774%58.719157%56.603774%56.6%60100.000000%40.652819%100.000000%100.0%11
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 Monroe County and the Wayne Township
Female Male
Monroe County
Wayne Township
Shaded bar tips show excess over facing bar.
100%50%0%50%100%%WhiteHispanic1BlackAsianMixedOther-37.864078%-23.674384%-32.319214%-17.148614%-61.538462%61.5%37.864078%32.319214%37.864078%37.9%48.066%48.1%-0.000000%-33.333333%-53.333333%0.000000%0.0%0.000000%0.000000%33.333333%0.000000%0.0%0.000%0%-0.000000%-14.285714%0.000000%0.0%0.000000%0.000000%14.285714%85.714286%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%-21.276596%-78.723404%0.000000%0.0%0.000000%0.000000%21.276596%0.000000%0.0%0.000%0%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%100.000000%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 Monroe County and the Wayne Township
Female Male
Monroe County
Wayne Township
Shaded bar tips show excess over facing bar.
10%0%10%20%30%%WhiteHispanic1BlackAsianMixedOther-0.000000%-2.830189%0.000000%0.0%0.000000%0.000000%2.830189%2.856682%0.000000%0.0%0.000%0%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%33.333333%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%-0.000000%-0.000000%-14.285714%0.000000%0.0%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

Armed Forces by Race#12

Percentage of each ethno-racial group's population 16 to 64 years of age in the armed forces.
Scope: population of Monroe County and the Wayne Township
Female Male
Monroe County
Wayne Township
Shaded bar tips show excess over facing bar.
0.0%0.1%0.2%0.3%%WhiteHispanic1BlackAsianMixedOther-0.000000%-0.000000%0.000000%0.00%0.000000%0.000000%0.000000%0.397847%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%0.000000%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%0.000000%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#13

Percentage employed of each ethno-racial group's population 16 to 64 years of age.
Scope: population of Monroe County and the Wayne Township
Female Male
Monroe County
Wayne Township
Shaded bar tips show excess over facing bar.
100%50%0%50%%WhiteHispanic1BlackAsianMixedOther-38.461538%-50.532172%-38.461538%38.5%38.461538%23.674384%50.532172%17.148614%62.135922%62.1%51.934%51.9%-0.000000%-13.333333%0.000000%0.0%0.000000%0.000000%13.333333%53.333333%0.000000%0.0%0.000%0%-0.000000%-0.000000%-85.714286%0.000000%0.0%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%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%78.723404%0.000000%0.0%0.000%0%-0.000000%-0.000000%-100.000000%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 Status by County Subdivision in Ohio

There are 1,606 county subdivisions in Ohio. This section compares the Wayne Township to the 50 most populous county subdivisions in Ohio and to those entities that contain or substantially overlap with the Wayne Township. The least populous of the compared county subdivisions has a population of 36,945.

Employed Working-Age Men by County Subdivision#18

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of the Wayne Township, selected other county subdivisions in Ohio, and entities that contain the Wayne Township
0%20%40%60%80%Count#Liberty TownshipLibertyDeerfield TownshipDeerfieldJackson TownshipJacksonViolet TownshipVioletMifflin TownshipMifflinDublinWest Chester TownshipW ChesterFairfieldAnderson TownshipAndersonWashington TownshipWashingtonStrongsvilleGreen TownshipGrnMiami TownshipMiamiMiami TownshipMiamiBeavercreek TownshipBeavercreekCuyahoga FallsMentorKetteringLakewoodBoardman TownshipBoardmanSylvania TownshipSylvaniaHuber HeightsFindlayJackson TownshipJacksonParmaUnion TownshipUnionPlain TownshipPlainMidwestUnited States of AmericaUnited StatesEast North CentralColumbusColerain TownshipColerainOhioMonroe CountyMonroeSwitzerland of Ohio Local School DistrictSwitzerland of OhioEuclidCleveland HeightsCleveland HtsNewarkLorainWayne TownshipWayneMiddletownBath TownshipElyriaCincinnatiCantonToledoAkronLancaster City TownshipLancaster CityHamiltonSpringfieldDaytonClevelandLimaWarrenYoungstownMarion TownshipMarionMansfield98.618307%98.618307%98.6%2,855196.744837%96.744837%96.7%2,764296.678322%96.678322%96.7%2,212394.670220%94.670220%94.7%2,842494.431280%94.431280%94.4%2,391593.807763%93.807763%93.8%3,045692.795162%92.795162%92.8%3,529792.002806%92.002806%92.0%2,623891.772152%91.772152%91.8%2,175991.687268%91.687268%91.7%2,9671091.615290%91.615290%91.6%2,2291190.835580%90.835580%90.8%3,0331290.431165%90.431165%90.4%2,3911389.488201%89.488201%89.5%2,9201489.411367%89.411367%89.4%2,6431589.215972%89.215972%89.2%3,0611689.189189%89.189189%89.2%2,4091788.638690%88.638690%88.6%2,5981888.176763%88.176763%88.2%3,0131987.239583%87.239583%87.2%2,0102087.228497%87.228497%87.2%2,0082187.153285%87.153285%87.2%1,7912286.969965%86.969965%87.0%1,9692386.943509%86.943509%86.9%2,3242486.891892%86.891892%86.9%4,5012586.551393%86.551393%86.6%2,7032686.278195%86.278195%86.3%2,2952784.507990%84.507990%84.5%3,510,6363.51M83.826751%83.826751%83.8%16,918,49516.9M83.320331%83.320331%83.3%2,401,9262.40M83.115810%83.115810%83.1%45,27945.3k2882.471264%82.471264%82.5%2,5832982.343836%82.343836%82.3%575,063575k81.523096%81.523096%81.5%65381.293532%81.293532%81.3%81780.760000%80.760000%80.8%2,0193080.714576%80.714576%80.7%1,9883178.479967%78.479967%78.5%1,9003278.409091%78.409091%78.4%2,8293377.777778%77.777778%77.8%2177.764178%77.764178%77.8%1,9063477.452745%77.452745%77.5%1,7213576.710647%76.710647%76.7%2,5003675.413111%75.413111%75.4%12,45912.5k3775.353959%75.353959%75.4%2,8743873.599363%73.599363%73.6%12,00712.0k3971.832579%71.832579%71.8%8,2554071.724413%71.724413%71.7%1,8014171.321488%71.321488%71.3%2,5694265.019236%65.019236%65.0%2,1974364.663494%64.663494%64.7%4,7564464.097134%64.097134%64.1%13,62013.6k4558.945549%58.945549%58.9%1,3644653.569594%53.569594%53.6%1,0434752.014945%52.014945%52.0%1,9494847.330961%47.330961%47.3%1,7294941.939322%41.939322%41.9%1,41050
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 the Wayne Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Wayne Township. The least populous of the compared county subdivisions has a population of 112,821.

Employed Working-Age Men by County Subdivision#23

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of the Wayne Township, selected other county subdivisions in the Midwest, and entities that contain the Wayne Township
0%20%40%60%80%Count#Overland ParkOlatheWheeling TownshipWheelingYork TownshipSchaumburg TownshipSchaumburgMilton TownshipMiltonBloomingdale TownshipBloomingdalePalatine TownshipPalatineLisle TownshipLisleDowners Grove TownshipDowners GrvAurora TownshipAuroraAnn ArborMadisonWashington TownshipWashingtonSioux FallsMaine TownshipMaineSterling HeightsSterling HtsLincolnFargoWorth TownshipWorthCedar RapidsMinneapolisProviso TownshipProvisoOmahaLawrence TownshipLawrenceWichitaMidwestKansas CityBlue TownshipWayne TownshipWayneSt. PaulUnited States of AmericaUnited StatesChicagoEast North CentralColumbusOhioCapital TownshipCapitalWarrenMonroe CountyMonroeKaw TownshipSwitzerland of Ohio Local School DistrictSwitzerland of OhioNorth TownshipNTopekaMilwaukeeGrand RapidsWayne TownshipWayneSt. LouisRockford TownshipRockfordCincinnatiSpringfield TownshipSpringfieldToledoAkronThornton TownshipThorntonCenter TownshipCtrDaytonClevelandDetroit93.627366%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%7,9191089.640761%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%24,41024.4k2286.115652%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%16,918,49516.9M83.502988%83.502988%83.5%160,537161k3183.320331%83.320331%83.3%2,401,9262.40M83.115810%83.115810%83.1%45,27945.3k3282.343836%82.343836%82.3%575,063575k82.023792%82.023792%82.0%5,5853381.783681%81.783681%81.8%6,4653481.523096%81.523096%81.5%65381.379310%81.379310%81.4%9,2043581.293532%81.293532%81.3%81781.018469%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%8,5803977.777778%77.777778%77.8%2177.165002%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 the Wayne Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Wayne Township. The least populous of the compared county subdivisions has a population of 547,300.

Employed Working-Age Men by County Subdivision#28

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of the Wayne Township, selected other county subdivisions in the United States, and entities that contain the Wayne Township
0%20%40%60%80%Count#PlanoSeattle EastNortheast TarrantNE TarrantNorthwest HarrisNW HarrisSan JoseAustinSalt Lake CitySalt Lk CityTownship 1:Charlotte1, CharlotteNortheast DallasNE DallasDenverTown of HempsteadHempsteadQueensHoustonSan FranciscoSeattleAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…TulsaFort WorthSan DiegoSan Fernando ValleySan Fernando VlyManhattanSouthwest DallasSW DallasEast San Gabriel ValleyE San Gabriel VlyLong Beach-LakewoodLong Bch-LakewoodLos AngelesPhoenixWashingtonTampaMidwestBrooklynOrlandoUnited States of AmericaUnited StatesChicagoEl PasoEast North CentralLas VegasColumbusOntarioOceanside-EscondidoOceanside-Escond…AlbuquerqueOhioBostonMiamiMonroe CountyMonroeSwitzerland of Ohio Local School DistrictSwitzerland of OhioTucsonAtlantaSan Antonio CentralSan Antonio CntrlSacramentoSan BernardinoMilwaukeeWayne TownshipWayneBronxFresnoBaltimorePhiladelphiaDetroit93.125861%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%62,20862.2k689.558063%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%32,49032.5k1786.152627%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%16,918,49516.9M83.502988%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%32,93432.9k3782.343836%82.343836%82.3%575,063575k82.260151%82.260151%82.3%33,06233.1k3881.570097%81.570097%81.6%57,48057.5k3981.523096%81.523096%81.5%65381.293532%81.293532%81.3%81780.378047%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%27,72327.7k4577.777778%77.777778%77.8%2177.746048%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:
Ohio
County:
Monroe
ZIP Codes:
43754, 43793, 45734
Unified School District:
Switzerland of Ohio
Congressional District:
OH-6
State Senate District:
OH-30
State House District:
OH-96
Neighboring Townships:
Center, Franklin, Perry, Summit, Washington
Nearby Townships:
Benton, Bethel, Elk, Green, Jefferson, Malaga, Marion, Seneca, Stock, Sunsbury