Food Stamps in the Washington Township, Auglaize County, Ohio (Township)

Income On and Off Food Stamps#1

Median income among households that do and do not receive food stamps.
Scope: households in Auglaize County and the Washington Township
Washington Township
Auglaize County
$0k$20k$40k$60kCountAllOn Food StampsNot On Food Stamps$74,083.000000$55,914.000000$74,083.000000$74.1k735$39,792.000000$29,797.000000$39,792.000000$39.8k29$75,333.000000$59,798.000000$75,333.000000$75.3k706

Characteristics of Households Receiving Food Stamps#2

Households with given characteristics as a percentage of all households that receive food stamps.
Scope: households in Auglaize County and the Washington Township
Washington Township
Auglaize County
0%10%20%30%40%50%%ChildrenSingle MomMarriedDisability1Over 601Poverty248.275862%50.366300%48.275862%48.3%6.195%6.19%34.482759%22.039072%34.482759%34.5%34.483%34.5%13.793103%21.367521%13.793103%13.8%2.128%2.13%44.827586%47.435897%44.827586%44.8%7.831%7.83%20.689655%21.733822%20.689655%20.7%2.290%2.29%24.137931%42.735043%24.137931%24.1%36.842%36.8%

Characteristics of Households Not Receiving Food Stamps#3

Households with given characteristics as a percentage of all households that do not receive food stamps.
Scope: households in Auglaize County and the Washington Township
Washington Township
Auglaize County
0%10%20%30%40%%ChildrenSingle MomMarriedDisability1Over 601Poverty230.028329%28.102212%30.028329%30.0%93.805%93.8%2.691218%4.357259%2.691218%2.7%65.517%65.5%26.062323%21.756162%26.062323%26.1%97.872%97.9%21.671388%22.003254%21.671388%21.7%92.169%92.2%36.260623%40.728018%36.260623%36.3%97.710%97.7%1.699717%5.827759%1.699717%1.7%63.158%63.2%

On Food Stamps by Race#4

Percentage of given ethno-racial group on food stamps.
Scope: households in Auglaize County and the Washington Township
Washington Township
Auglaize County
0%5%10%15%20%25%Count%White1All RacesMixed23.978052%8.592033%3.978052%4.0%29100.823045%101%3.945578%8.984696%3.945578%3.9%29100.000000%100%0.000000%0.000000%0.0%27.586207%00.000000%0%

Food Stamps by County Subdivision in the Wapakoneta Area

There are 14 county subdivisions in the Wapakoneta Area. This section compares the Washington Township to all of the county subdivisions in the Wapakoneta Area and to those entities that contain or substantially overlap with the Washington Township.

Most Food Stamps by County Subdivision#5

Food Stamp recipients as a percentage of all households.
Scope: population of the Washington Township, selected other county subdivisions in the Wapakoneta Area, and entities that contain the Washington Township
0%5%10%15%Count#St. Marys TownshipSt. MarysOhioEast North CentralUnited States of AmericaUnited StatesMidwestClay TownshipDuchouquet TownshipDuchouquetMoulton TownshipMoultonWapakoneta Metro AreaWapakonetaAuglaize CountyAuglaizeGoshen TownshipGoshenWayne TownshipWayneUnion TownshipUnionSalem TownshipSalem041100Tract 041100Washington TownshipWashingtonGerman TownshipGermanLogan TownshipLoganPusheta TownshipPushetaNoble TownshipNobleJackson TownshipJackson16.610474%16.610474%16.6%739114.800012%14.800012%14.8%681,015681k14.002539%14.002539%14.0%2,532,7852.53M13.049135%13.049135%13.0%15,360,95115.4M12.923568%12.923568%12.9%3,403,3563.40M11.458333%11.458333%11.5%3329.988069%9.988069%10.0%58639.666081%9.666081%9.7%5548.984696%8.984696%9.0%1,6388.984696%8.984696%9.0%1,6387.798165%7.798165%7.8%1756.360424%6.360424%6.4%3666.353591%6.353591%6.4%4676.018519%6.018519%6.0%1384.623514%4.623514%4.6%703.945578%3.945578%3.9%2992.641753%2.641753%2.6%41101.890756%1.890756%1.9%9111.629328%1.629328%1.6%8121.255230%1.255230%1.3%9131.247249%1.247249%1.2%1714

Food Stamps by County Subdivision in Ohio

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

Most Food Stamps by County Subdivision#6

Food Stamp recipients as a percentage of all households.
Scope: population of the Washington Township, selected other county subdivisions in Ohio, and entities that contain the Washington Township
0%10%20%30%Count#YoungstownClevelandCantonDaytonSpringfieldWarrenLimaLorainMansfieldToledoLancaster City TownshipLancaster CityAkronMarion TownshipMarionMiddletownEuclidCincinnatiNewarkHamiltonElyriaColumbusBath TownshipCleveland HeightsCleveland HtsOhioEast North CentralLakewoodHuber HeightsUnited States of AmericaUnited StatesMidwestFindlayColerain TownshipColerainMiami TownshipMiamiParmaCuyahoga FallsBoardman TownshipBoardmanKetteringWapakoneta Metro AreaWapakonetaAuglaize CountyAuglaizeUnion TownshipUnionPlain TownshipPlainJackson TownshipJacksonFairfieldMifflin TownshipMifflinSylvania TownshipSylvaniaViolet TownshipVioletMiami TownshipMiamiJackson TownshipJacksonMentorStrongsvilleGreen TownshipGrn041100Tract 041100Anderson TownshipAndersonLiberty TownshipLibertyWashington TownshipWashingtonWashington TownshipWashingtonWest Chester TownshipW ChesterBeavercreek TownshipBeavercreekDeerfield TownshipDeerfieldDublin38.923511%38.923511%38.9%10,49310.5k135.848492%35.848492%35.8%59,89159.9k231.870866%31.870866%31.9%9,734330.167851%30.167851%30.2%17,32617.3k429.341342%29.341342%29.3%7,181529.282401%29.282401%29.3%5,113629.051313%29.051313%29.1%4,082727.482100%27.482100%27.5%6,909826.751987%26.751987%26.8%4,745926.494500%26.494500%26.5%31,38331.4k1025.810056%25.810056%25.8%4,1581125.676364%25.676364%25.7%21,66721.7k1225.202492%25.202492%25.2%4,0451324.979772%24.979772%25.0%4,6311423.382505%23.382505%23.4%5,2151523.210148%23.210148%23.2%31,25231.3k1622.450846%22.450846%22.5%4,4191721.656732%21.656732%21.7%5,2681821.015646%21.015646%21.0%4,7551917.573826%17.573826%17.6%58,55358.6k2015.512499%15.512499%15.5%2,5382115.096815%15.096815%15.1%2,8772214.800012%14.800012%14.8%681,015681k14.002539%14.002539%14.0%2,532,7852.53M13.778868%13.778868%13.8%3,3712313.565302%13.565302%13.6%1,9612413.049135%13.049135%13.0%15,360,95115.4M12.923568%12.923568%12.9%3,403,3563.40M12.356688%12.356688%12.4%2,2312511.909136%11.909136%11.9%2,6582611.816570%11.816570%11.8%2,5332711.173818%11.173818%11.2%3,7422810.108286%10.108286%10.1%2,175299.811385%9.811385%9.8%1,727309.465766%9.465766%9.5%2,353318.984696%8.984696%9.0%1,6388.984696%8.984696%9.0%1,6388.119001%8.119001%8.1%1,531327.817337%7.817337%7.8%1,717337.634998%7.634998%7.6%1,281346.692820%6.692820%6.7%1,126356.626166%6.626166%6.6%938366.188407%6.188407%6.2%1,168375.838281%5.838281%5.8%826385.396096%5.396096%5.4%799395.154394%5.154394%5.2%868405.137652%5.137652%5.1%1,004415.063075%5.063075%5.1%891424.957458%4.957458%5.0%1,142434.623514%4.623514%4.6%704.596188%4.596188%4.6%733444.101986%4.101986%4.1%473454.079790%4.079790%4.1%994463.945578%3.945578%3.9%293.804684%3.804684%3.8%861472.840640%2.840640%2.8%600481.660101%1.660101%1.7%236491.009951%1.009951%1.0%13650

Food Stamps by County Subdivision in the Midwest

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

Most Food Stamps by County Subdivision#7

Food Stamp recipients as a percentage of all households.
Scope: population of the Washington Township, selected other county subdivisions in the Midwest, and entities that contain the Washington Township
0%10%20%30%40%Count#DetroitClevelandMilwaukeeDaytonCenter TownshipCtrToledoAkronThornton TownshipThorntonSt. LouisCincinnatiGrand RapidsRockford TownshipRockfordWayne TownshipWayneAurora TownshipAuroraChicagoWarrenNorth TownshipNSt. PaulKansas CityColumbusBlue TownshipProviso TownshipProvisoMinneapolisKaw TownshipCapital TownshipCapitalOhioSpringfield TownshipSpringfieldEast North CentralLawrence TownshipLawrenceCedar RapidsTopekaSterling HeightsSterling HtsUnited States of AmericaUnited StatesWichitaMidwestOmahaSioux FallsWorth TownshipWorthFargoLincolnMadisonWapakoneta Metro AreaWapakonetaAuglaize CountyAuglaizeWashington TownshipWashingtonMaine TownshipMaineBloomingdale TownshipBloomingdaleSchaumburg TownshipSchaumburgMilton TownshipMiltonAnn ArborWheeling TownshipWheelingPalatine TownshipPalatineYork TownshipOlathe041100Tract 041100Lisle TownshipLisleWashington TownshipWashingtonDowners Grove TownshipDowners GrvOverland Park42.327373%42.327373%42.3%108,775109k135.848492%35.848492%35.8%59,89159.9k230.439719%30.439719%30.4%70,25070.3k330.167851%30.167851%30.2%17,32617.3k427.635196%27.635196%27.6%16,78716.8k526.494500%26.494500%26.5%31,38331.4k625.676364%25.676364%25.7%21,66721.7k725.480090%25.480090%25.5%15,86915.9k823.895915%23.895915%23.9%33,48233.5k923.210148%23.210148%23.2%31,25231.3k1022.607708%22.607708%22.6%16,51916.5k1122.465223%22.465223%22.5%15,77815.8k1221.773313%21.773313%21.8%11,16111.2k1321.402434%21.402434%21.4%9,7091419.820560%19.820560%19.8%206,645207k1519.312353%19.312353%19.3%10,27910.3k1618.798893%18.798893%18.8%11,00611.0k1718.694868%18.694868%18.7%21,04521.0k1818.089572%18.089572%18.1%9,9121917.573826%17.573826%17.6%58,55358.6k2017.446769%17.446769%17.4%11,32411.3k2116.209059%16.209059%16.2%8,8142215.944948%15.944948%15.9%27,07527.1k2315.558229%15.558229%15.6%12,41512.4k2415.314670%15.314670%15.3%7,6972514.800012%14.800012%14.8%681,015681k14.489011%14.489011%14.5%10,43610.4k2614.002539%14.002539%14.0%2,532,7852.53M13.946939%13.946939%13.9%6,8342713.590974%13.590974%13.6%7,3362813.568773%13.568773%13.6%7,1542913.206978%13.206978%13.2%6,5713013.049135%13.049135%13.0%15,360,95115.4M12.955792%12.955792%13.0%19,60619.6k3112.923568%12.923568%12.9%3,403,3563.40M12.344705%12.344705%12.3%21,58221.6k3212.227437%12.227437%12.2%7,0603312.044887%12.044887%12.0%6,8483410.392569%10.392569%10.4%5,337359.986905%9.986905%10.0%10,90610.9k369.645615%9.645615%9.6%10,20410.2k378.984696%8.984696%9.0%1,6388.984696%8.984696%9.0%1,6388.792892%8.792892%8.8%5,166388.399881%8.399881%8.4%4,239398.106279%8.106279%8.1%3,234406.843638%6.843638%6.8%3,336416.790936%6.790936%6.8%2,940426.357941%6.357941%6.4%3,004436.289668%6.289668%6.3%3,736445.971420%5.971420%6.0%2,595455.353588%5.353588%5.4%2,555465.134959%5.134959%5.1%2,359474.623514%4.623514%4.6%704.186097%4.186097%4.2%1,930483.945578%3.945578%3.9%293.686156%3.686156%3.7%2,124493.544646%3.544646%3.5%2,69950

Food Stamps by County Subdivision in the United States

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

Most Food Stamps by County Subdivision#8

Food Stamp recipients as a percentage of all households.
Scope: population of the Washington Township, selected other county subdivisions in the United States, and entities that contain the Washington Township
0%10%20%30%40%Count#DetroitBronxMilwaukeeMiamiBaltimorePhiladelphiaEl PasoSan Antonio CentralSan Antonio CntrlBrooklynFresnoOrlandoChicagoSan BernardinoTampaBostonColumbusSouthwest DallasSW DallasFort WorthAlbuquerqueAtlantaWashingtonTucsonOhioHoustonEast North CentralQueensLas VegasManhattanSacramentoPhoenixTulsaUnited States of AmericaUnited StatesNortheast DallasNE DallasMidwestTownship 1:Charlotte1, CharlotteSeattleLong Beach-LakewoodLong Bch-LakewoodDenverAustinLos AngelesAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…Wapakoneta Metro AreaWapakonetaAuglaize CountyAuglaizeOntarioSalt Lake CitySalt Lk CityNorthwest HarrisNW HarrisEast San Gabriel ValleyE San Gabriel VlySan Fernando ValleySan Fernando VlySan DiegoNortheast TarrantNE TarrantTown of HempsteadHempsteadSeattle EastOceanside-EscondidoOceanside-Escond…San FranciscoSan Jose041100Tract 041100Washington TownshipWashingtonPlano42.327373%42.327373%42.3%108,775109k136.640787%36.640787%36.6%179,811180k230.439719%30.439719%30.4%70,25070.3k326.918616%26.918616%26.9%90,50990.5k425.907118%25.907118%25.9%62,80362.8k525.315915%25.315915%25.3%147,489147k624.474984%24.474984%24.5%44,95145.0k724.405515%24.405515%24.4%55,00155.0k823.963174%23.963174%24.0%224,967225k920.437953%20.437953%20.4%45,71545.7k1020.198587%20.198587%20.2%44,63144.6k1119.820560%19.820560%19.8%206,645207k1219.710216%19.710216%19.7%44,79644.8k1319.376055%19.376055%19.4%50,49450.5k1419.103130%19.103130%19.1%49,53949.5k1517.573826%17.573826%17.6%58,55358.6k1617.250632%17.250632%17.3%55,99456.0k1715.901493%15.901493%15.9%47,09147.1k1815.784743%15.784743%15.8%39,68639.7k1915.004424%15.004424%15.0%35,78335.8k2014.960260%14.960260%15.0%41,37241.4k2114.937099%14.937099%14.9%51,79251.8k2214.800012%14.800012%14.8%681,015681k14.236256%14.236256%14.2%164,852165k2314.002539%14.002539%14.0%2,532,7852.53M13.924220%13.924220%13.9%108,512109k2413.780346%13.780346%13.8%91,44191.4k2513.731890%13.731890%13.7%103,454103k2613.554775%13.554775%13.6%55,27855.3k2713.433314%13.433314%13.4%153,787154k2813.071915%13.071915%13.1%30,77930.8k2913.049135%13.049135%13.0%15,360,95115.4M12.939884%12.939884%12.9%73,75173.8k3012.923568%12.923568%12.9%3,403,3563.40M12.867008%12.867008%12.9%39,89339.9k3111.909058%11.909058%11.9%52,40752.4k3210.963747%10.963747%11.0%21,74121.7k3310.333295%10.333295%10.3%29,04429.0k3410.290689%10.290689%10.3%34,30034.3k3510.248119%10.248119%10.2%95,93595.9k369.585555%9.585555%9.6%46,82446.8k378.984696%8.984696%9.0%1,6388.984696%8.984696%9.0%1,6388.572006%8.572006%8.6%16,53316.5k388.561760%8.561760%8.6%27,90827.9k398.134682%8.134682%8.1%20,38620.4k407.755337%7.755337%7.8%20,50120.5k417.739421%7.739421%7.7%47,77847.8k427.450825%7.450825%7.5%60,92860.9k436.406793%6.406793%6.4%13,11413.1k446.305438%6.305438%6.3%15,24115.2k456.012518%6.012518%6.0%13,74613.7k465.795555%5.795555%5.8%12,81612.8k475.164561%5.164561%5.2%18,42718.4k484.968853%4.968853%5.0%29,11429.1k494.623514%4.623514%4.6%703.945578%3.945578%3.9%293.859381%3.859381%3.9%7,72150

Definitions

  • Food Stamps: formally called the Supplemental Nutrition Assistance Program, a program to provide monetary assistance to low income households for the purpose of purchasing food

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