Employment Status in the Town of Ontario, Wayne County, New York (Town)

Employment Status#1

Percentage of population aged 25 to 64 years old.
Scope: population of Wayne County and the Town of Ontario
Town of Ontario
Wayne County
0%10%20%30%40%50%60%CountArmed ForcesEmployed1UnemployedOther20.000000%0.000000%0.0%0.055407%064.296979%58.439417%64.296979%64.3%5,3002.741720%4.417687%2.741720%2.7%22632.961300%37.087489%32.961300%33.0%2,717
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 Wayne County and the Town of Ontario
Town of Ontario
Wayne 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%00-58.327273%-58.327273%-58.327273%58.3%58.327273%11.949561%58.327273%11.949561%70.276833%70.3%2,4062,894-2.133333%-2.133333%-2.133333%2.1%2.133333%1.217808%2.133333%1.217808%3.351141%3.4%88138-26.372025%-13.167369%-26.372025%-13.167369%-39.539394%39.5%26.372025%26.372025%26.372025%26.4%1,6311,086
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 Town 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%5.217391%0.000000%94.782609%95%300.000000%21.495327%21%0.000000%78.504673%79%1150.000000%15.257048%15%1.492537%83.250415%83%920.000000%33.882353%34%0.000000%66.117647%66%1440.000000%47.430830%47%0.000000%52.569170%53%1200.000000%77.297896%77%1.771872%20.930233%21%6980.000000%87.410665%87%3.518417%9.070918%9%1,5900.000000%83.094262%83%3.073770%13.831967%14%8110.000000%85.562310%86%0.000000%14.437690%14%5630.000000%84.485190%84%0.000000%15.514810%16%5990.000000%94.285714%94%0.000000%5.714286%2640.000000%65.198238%65%34.801762%35%0.000000%1480.000000%45.000000%45%10.000000%10%45.000000%45%1260%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 Town of Ontario
Female
Male
0%20%40%60%80%100%FM75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-192.655%2.65%8.898%8.90%14.237%14.2%30.417%30.4%11.782%11.8%19.485%19.5%25.431%25.4%44.041%44.0%35.484%35.5%58.915%58.9%74.880%74.9%79.381%79.4%87.076%87.1%87.748%87.7%74.747%74.7%91.684%91.7%81.538%81.5%91.418%91.4%75.354%75.4%93.539%93.5%86.777%86.8%100.000%100%100.000%100%62.381%62.4%29.897%29.9%53.005%53.0%
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 Wayne County and the Town of Ontario
More Females More Males
Wayne County
Town of Ontario
0%200%400%600%M:FFM75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-19133.333333%89.436620%133.333333%133.3%2.3332.3392173.809524%53.441296%73.809524%73.8%1.7381.74427335.897436%61.424332%35.897436%35.9%1.3591.36395344.067797%40.870787%44.067797%44.1%1.4411.44598572.727273%17.836257%72.727273%72.7%1.7271.73447623.003195%6.310289%23.003195%23.0%1.2301.233133850.000000%0.000000%0.0%9.210290%1.0001.0079579519.189189%5.467026%19.189189%19.2%1.1921.19370441-29.795918%-29.795918%29.8%2.397082%0.7700.7731824525.187970%10.160428%25.187970%25.2%1.2521.2526633351.428571%6.202850%51.428571%51.4%1.5141.51105159670.588235%42.716858%670.588235%670.6%7.7067.7117131-5.465839%234.482759%234.482759%234.5%3.3453.342997
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 Wayne County.
Scope: population of Wayne County, the Town of Ontario, and selected other county subdivisions in Wayne Counties
Town of Ontario
Wayne County
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0%20%40%60%80%100%%75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-198.898%8.90%30.417%30.4%19.485%19.5%44.041%44.0%58.915%58.9%79.381%79.4%87.748%87.7%91.684%91.7%91.418%91.4%93.539%93.5%100.000%100%62.381%62.4%53.005%53.0%
% employed percentage of male population in the Town of Ontario

Female Employment by Age#7

Percentage of female population employed by age cohort. Gray areas represent percentile bands from the county subdivisions in Wayne County.
Scope: population of Wayne County, the Town of Ontario, and selected other county subdivisions in Wayne Counties
Town of Ontario
Wayne County
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0%20%40%60%80%100%%75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-192.655%2.65%14.237%14.2%11.782%11.8%25.431%25.4%35.484%35.5%74.880%74.9%87.076%87.1%74.747%74.7%81.538%81.5%75.354%75.4%86.777%86.8%100.000%100%29.897%29.9%
% employed percentage of female population in the Town of Ontario

Employment among the Married#8

Selected family employment structures as a percentage of all married couple households.
Scope: households in Wayne County and the Town of Ontario
Town of Ontario
Wayne 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 …218.454936%23.837271%18.454936%18.5%4309.098712%7.452154%9.098712%9.1%2121.759657%1.705335%1.759657%1.8%410.000000%0.000000%0.0%0.694964%033.648069%29.434406%33.648069%33.6%7849.227468%10.333583%9.227468%9.2%2155.107296%6.618197%5.107296%5.1%11922.703863%19.924089%22.703863%22.7%529
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 Wayne County and the Town of Ontario
Town of Ontario
Wayne County
0%20%40%60%CountBoth WorkStay at Home MomsStay at Home DadsNeither Work62.957540%70.755316%62.957540%63.0%43031.039531%22.119962%31.039531%31.0%2126.002928%5.061885%6.002928%6.0%410.000000%0.000000%0.0%2.062837%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 Wayne County and the Town of Ontario
Town of Ontario
Wayne County
0%10%20%30%40%CountBoth WorkLadies Who LunchGents Who LunchNeither Work47.601700%44.388907%47.601700%47.6%78413.054038%15.583683%13.054038%13.1%2157.225258%9.980651%7.225258%7.2%11932.119004%30.046759%32.119004%32.1%529

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 Wayne County and the Town of Ontario
Town of Ontario
Wayne County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma388.964578%86.565399%88.964578%89.0%1,30681.894644%74.575676%81.894644%81.9%1,85069.889503%69.726632%69.889503%69.9%1,26550.485437%46.849385%50.485437%50.5%104
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 Wayne County and the Town of Ontario
Female Male
Wayne County
Town of Ontario
Shaded bar tips show excess over facing bar.
60%40%20%0%20%40%60%%Hispanic1BlackMixedWhiteAsianOther-19.008264%-36.691542%-19.008264%19.0%19.008264%51.330719%36.691542%11.009607%70.338983%70.3%44.351%44.4%-23.469388%-52.941176%-23.469388%23.5%23.469388%22.959184%52.941176%11.037318%46.428571%46.4%31.818%31.8%-0.000000%-63.636364%-41.987179%-3.383191%-63.636364%63.6%0.000000%41.987179%0.000000%0.0%63.636%63.6%-15.950726%-11.468065%-24.381067%-7.325798%-27.418791%27.4%15.950726%24.381067%15.950726%16.0%21.397%21.4%-10.526316%-15.591398%-12.766811%-10.526316%10.5%10.526316%19.473684%15.591398%30.000000%30.0%17.241%17.2%-0.000000%-31.004367%0.000000%0.0%0.000000%0.000000%31.004367%3.864054%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 Wayne County and the Town of Ontario
Female Male
Wayne County
Town of Ontario
Shaded bar tips show excess over facing bar.
10%0%10%20%30%40%50%60%%Hispanic1WhiteBlackAsianMixedOther-0.000000%-13.930348%0.000000%0.0%0.000000%60.169492%13.930348%1.127123%60.169492%60.2%29.707%29.7%-1.831965%-1.241734%-3.543599%-3.073699%3.1%1.831965%3.543599%2.186704%1.831965%1.8%2.422%2.42%-0.000000%-11.397059%0.000000%0.0%0.000000%0.000000%11.397059%9.122654%0.000000%0.0%0.000%0%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%7.526882%0.000000%0.0%0.000%0%-0.000000%-13.782051%-2.575973%0.000000%0.0%0.000000%0.000000%13.782051%0.000000%0.0%0.000%0%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%6.578947%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 Wayne County and the Town of Ontario
Female Male
Wayne County
Town of Ontario
Shaded bar tips show excess over facing bar.
0%1%2%3%4%5%%WhiteHispanic1BlackAsianMixedOther-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.094063%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%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%5.128205%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 Wayne County and the Town of Ontario
Female Male
Wayne County
Town of Ontario
Shaded bar tips show excess over facing bar.
100%50%0%50%%AsianWhiteBlackHispanic1OtherMixed-70.000000%-19.473684%-71.641791%-89.473684%89.5%70.000000%71.641791%12.766811%70.000000%70.0%82.759%82.8%-72.581209%-68.293135%-72.581209%72.6%72.581209%11.468065%68.293135%7.325798%84.049274%84.0%78.603%78.6%-53.571429%-22.959184%-36.021505%-11.037318%-76.530612%76.5%53.571429%36.021505%53.571429%53.6%68.182%68.2%-29.661017%-51.330719%-52.298851%-11.009607%-80.991736%81.0%29.661017%52.298851%29.661017%29.7%55.649%55.6%-0.000000%-100.000000%-65.131579%-3.864054%-100.000000%100.0%0.000000%65.131579%0.000000%0.0%100.000%100%-0.000000%-36.363636%-54.629630%-36.363636%36.4%0.000000%54.629630%3.383191%0.000000%0.0%36.364%36.4%
% percentage of both sexes combined
1white Hispanic

Employment Status by County Subdivision in the Rochester Area

There are 93 county subdivisions in the Rochester Area. This section compares the Town of Ontario to the 50 most populous county subdivisions in the Rochester Area and to those entities that contain or substantially overlap with the Town of Ontario. The least populous of the compared county subdivisions has a population of 4,205.

Employed Working-Age Men by County Subdivision#20

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of the Town of Ontario, selected other county subdivisions in the Rochester Area, and entities that contain the Town of Ontario
0%20%40%60%80%100%Count#Town of JerusalemJerusalemTown of MendonMendonTown of RigaTown of ClarksonClarksonTown of WilliamsonWilliamsonTown of AvonTown of HamlinHamlinTown of PittsfordPittsfordTown of WebsterWebsterTown of RidgewayRidgewayTown of HenriettaHenriettaTown of OgdenTown of FarmingtonFarmingtonTown of SwedenSwedenTown of MacedonMacedonZIP Code 14519ZIP 14519Town of PenfieldPenfieldTown of PerintonPerintonTown of OntarioOntarioTown of GeneseoGeneseoTown of WalworthWalworthTown of ParmaTown of LivoniaLivoniaTown of VictorVictorTown of GreeceGreeceTown of IrondequoitIrondequoitTown of LimaTown of ChiliTown of ManchesterManchesterGenevaTown of MurrayMurrayTown of East RochesterE RochesterTown of WheatlandWheatlandNortheastNew YorkMiddle AtlanticUnited States of AmericaUnited StatesTown of ShelbyShelbyTown of BrightonBrightonWayne CountyWayneRochester Metro AreaRochesterCanandaiguaTown of SodusTown of MarionMarionTown of North DansvilleN DansvilleTown of GorhamGorhamTown of GatesTown of WolcottWolcottTown of PalmyraPalmyraTown of ArcadiaArcadiaTown of Mount MorrisMt MorrisTown of CanandaiguaCanandaiguaTown of PhelpsPhelpsRochesterTown of AlbionAlbionTown of LyonsTown of Milo100.000000%100.000000%100.0%224197.193878%97.193878%97.2%381296.721311%96.721311%96.7%236396.382429%96.382429%96.4%373495.882353%95.882353%95.9%326595.750000%95.750000%95.8%383695.503212%95.503212%95.5%446795.337159%95.337159%95.3%1,329894.149554%94.149554%94.1%2,430994.082840%94.082840%94.1%3181093.898463%93.898463%93.9%2,0161193.858984%93.858984%93.9%1,2381293.385650%93.385650%93.4%8331392.870201%92.870201%92.9%5081492.598425%92.598425%92.6%5881592.592593%92.592593%92.6%60092.421053%92.421053%92.4%1,7561692.355452%92.355452%92.4%2,3801791.683992%91.683992%91.7%4411891.633466%91.633466%91.6%2301990.896552%90.896552%90.9%6592090.250447%90.250447%90.3%1,0092190.181818%90.181818%90.2%2482289.945652%89.945652%89.9%9932387.001934%87.001934%87.0%4,4982486.796386%86.796386%86.8%2,4982586.776860%86.776860%86.8%2102686.735246%86.735246%86.7%1,6022786.445013%86.445013%86.4%3382886.121673%86.121673%86.1%4532985.664336%85.664336%85.7%2453085.542169%85.542169%85.5%4263184.615385%84.615385%84.6%2093284.488623%84.488623%84.5%2,903,3022.90M84.236014%84.236014%84.2%1,033,0571.03M84.184968%84.184968%84.2%2,153,6512.15M83.826751%83.826751%83.8%16,918,49516.9M83.150183%83.150183%83.2%2273383.129324%83.129324%83.1%1,5623482.906148%82.906148%82.9%4,30282.620852%82.620852%82.6%49,05249.1k82.396088%82.396088%82.4%3373581.909548%81.909548%81.9%3263680.577428%80.577428%80.6%3073780.099502%80.099502%80.1%3223879.779412%79.779412%79.8%2173977.736085%77.736085%77.7%1,2434076.744186%76.744186%76.7%2314176.446281%76.446281%76.4%3704275.529865%75.529865%75.5%3924374.757282%74.757282%74.8%1544470.671378%70.671378%70.7%4004570.509383%70.509383%70.5%2634667.550581%67.550581%67.6%7,8464760.795455%60.795455%60.8%3214860.424028%60.424028%60.4%1714959.682540%59.682540%59.7%18850
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 New York

There are 1,023 county subdivisions in New York. This section compares the Town of Ontario to the 50 most populous county subdivisions in New York and to those entities that contain or substantially overlap with the Town of Ontario. The least populous of the compared county subdivisions has a population of 42,343.

Employed Working-Age Men by County Subdivision#25

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of the Town of Ontario, selected other county subdivisions in New York, and entities that contain the Town of Ontario
0%20%40%60%80%Count#Town of WebsterWebsterTown of HenriettaHenriettaTown of RyeTown of LancasterLancasterZIP Code 14519ZIP 14519Town of North HempsteadN HempsteadTown of PerintonPerintonTown of Oyster BayOyster BayTown of AmherstAmherstTown of West SenecaW SenecaTown of GreenburghGreenburghTown of OntarioOntarioTown of SmithtownSmithtownTown of CortlandtCortlandtTown of PoughkeepsiePoughkeepsieTown of HamburgHamburgTown of MonroeMonroeTown of OrangetownOrangetownNew RochelleTown of ClayTown of RamapoRamapoWhite PlainsTown of IslipTown of ClarkstownClarkstownTown of HuntingtonHuntingtonTown of HempsteadHempsteadTown of BabylonBabylonQueensTown of GreeceGreeceTown of BrookhavenBrookhavenTown of IrondequoitIrondequoitManhattanTown of ColonieColonieStaten IslandNortheastNew YorkMiddle AtlanticBrooklynTown of TonawandaTonawandaUnited States of AmericaUnited StatesYonkersTown of UnionWayne CountyWayneRochester Metro AreaRochesterAlbanyTown of CheektowagaCheektowagaTown of Mount PleasantMt PleasantMount VernonTown of SouthamptonSouthamptonBronxSchenectadyNiagara FallsTroyBuffaloRochesterBinghamtonSyracuseUtica94.149554%94.149554%94.1%2,430193.898463%93.898463%93.9%2,016293.781726%93.781726%93.8%3,695393.438508%93.438508%93.4%2,606492.592593%92.592593%92.6%60092.558777%92.558777%92.6%12,16512.2k592.355452%92.355452%92.4%2,380692.187219%92.187219%92.2%15,36315.4k792.008675%92.008675%92.0%5,515891.929382%91.929382%91.9%2,187991.922425%91.922425%91.9%4,8821091.683992%91.683992%91.7%44191.534550%91.534550%91.5%6,1201191.070673%91.070673%91.1%2,1521290.978348%90.978348%91.0%2,2691390.718563%90.718563%90.7%3,0301490.594499%90.594499%90.6%2,0421590.580229%90.580229%90.6%2,5291690.318448%90.318448%90.3%4,9351789.785694%89.785694%89.8%3,2261889.768165%89.768165%89.8%6,9311989.627987%89.627987%89.6%3,6382089.474395%89.474395%89.5%19,86619.9k2188.768994%88.768994%88.8%4,0312288.604651%88.604651%88.6%10,28710.3k2387.849906%87.849906%87.8%40,92440.9k2487.824043%87.824043%87.8%11,95912.0k2587.683423%87.683423%87.7%143,173143k2687.001934%87.001934%87.0%4,4982786.949234%86.949234%86.9%26,97627.0k2886.796386%86.796386%86.8%2,4982985.725962%85.725962%85.7%102,788103k3085.528796%85.528796%85.5%4,0843185.002691%85.002691%85.0%25,27325.3k3284.488623%84.488623%84.5%2,903,3022.90M84.236014%84.236014%84.2%1,033,0571.03M84.184968%84.184968%84.2%2,153,6512.15M84.123947%84.123947%84.1%145,081145k3383.967260%83.967260%84.0%3,4883483.826751%83.826751%83.8%16,918,49516.9M83.721496%83.721496%83.7%10,31710.3k3583.236202%83.236202%83.2%2,4283682.906148%82.906148%82.9%4,30282.620852%82.620852%82.6%49,05249.1k82.604413%82.604413%82.6%4,1933782.386604%82.386604%82.4%3,8873881.568340%81.568340%81.6%2,2263980.771277%80.771277%80.8%3,0374080.483368%80.483368%80.5%3,0974177.746048%77.746048%77.7%65,61365.6k4273.299748%73.299748%73.3%3,2014372.313725%72.313725%72.3%1,8444471.975806%71.975806%72.0%1,7854571.709023%71.709023%71.7%10,04510.0k4667.550581%67.550581%67.6%7,8464767.185979%67.185979%67.2%1,3804866.836594%66.836594%66.8%4,8514966.486486%66.486486%66.5%2,21450
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 Northeast

There are 5,785 county subdivisions in the Northeast. This section compares the Town of Ontario to the 50 most populous county subdivisions in the Northeast and to those entities that contain or substantially overlap with the Town of Ontario. The least populous of the compared county subdivisions has a population of 91,133.

Employed Working-Age Men by County Subdivision#30

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of the Town of Ontario, selected other county subdivisions in the Northeast, and entities that contain the Town of Ontario
0%20%40%60%80%Count#Edison TownshipEdisonZIP Code 14519ZIP 14519Town of North HempsteadN HempsteadTown of Oyster BayOyster BayTown of AmherstAmherstTown of GreenburghGreenburghTown of OntarioOntarioTown of SmithtownSmithtownTown of StamfordStamfordTown of RamapoRamapoTown of IslipQuincyTown of HuntingtonHuntingtonTown of HempsteadHempsteadTown of BabylonBabylonQueensCambridgeTown of GreeceGreeceTown of BrookhavenBrookhavenJersey CityManhattanStaten IslandNortheastManchesterElizabethNew YorkMiddle AtlanticBrooklynLynnUnited States of AmericaUnited StatesYonkersWayne CountyWayneRochester Metro AreaRochesterAlbanyBostonToms River TownshipToms RivTown of BridgeportBridgeportLakewood TownshipLakewoodBrocktonWorcesterPittsburghBronxProvidenceWoodbridge TownshipWoodbridgeTown of WaterburyWaterburyEriePatersonLowellTown of New HavenNew HvnPhiladelphiaNew BedfordBuffaloAllentownNewarkRochesterSpringfieldSyracuseTown of HartfordHartford93.558245%93.558245%93.6%7,654192.592593%92.592593%92.6%60092.558777%92.558777%92.6%12,16512.2k292.187219%92.187219%92.2%15,36315.4k392.008675%92.008675%92.0%5,515491.922425%91.922425%91.9%4,882591.683992%91.683992%91.7%44191.534550%91.534550%91.5%6,120691.111111%91.111111%91.1%8,446789.768165%89.768165%89.8%6,931889.474395%89.474395%89.5%19,86619.9k988.795240%88.795240%88.8%5,3731088.604651%88.604651%88.6%10,28710.3k1187.849906%87.849906%87.8%40,92440.9k1287.824043%87.824043%87.8%11,95912.0k1387.683423%87.683423%87.7%143,173143k1487.643505%87.643505%87.6%5,8021587.001934%87.001934%87.0%4,4981686.949234%86.949234%86.9%26,97627.0k1786.128900%86.128900%86.1%18,96319.0k1885.725962%85.725962%85.7%102,788103k1985.002691%85.002691%85.0%25,27325.3k2084.488623%84.488623%84.5%2,903,3022.90M84.471545%84.471545%84.5%6,2342184.375332%84.375332%84.4%7,9492284.236014%84.236014%84.2%1,033,0571.03M84.184968%84.184968%84.2%2,153,6512.15M84.123947%84.123947%84.1%145,081145k2383.910595%83.910595%83.9%4,9182483.826751%83.826751%83.8%16,918,49516.9M83.721496%83.721496%83.7%10,31710.3k2582.906148%82.906148%82.9%4,30282.620852%82.620852%82.6%49,05249.1k82.604413%82.604413%82.6%4,1932682.260151%82.260151%82.3%33,06233.1k2782.164634%82.164634%82.2%4,3122880.164131%80.164131%80.2%8,0102980.032902%80.032902%80.0%3,8923079.817159%79.817159%79.8%4,5403179.395120%79.395120%79.4%8,5583278.315046%78.315046%78.3%12,63312.6k3377.746048%77.746048%77.7%65,61365.6k3477.701420%77.701420%77.7%8,5933577.456359%77.456359%77.5%6,2123677.275975%77.275975%77.3%5,4073776.378254%76.378254%76.4%3,9903875.658599%75.658599%75.7%7,0653974.349442%74.349442%74.3%4,8004073.759791%73.759791%73.8%5,0854173.120938%73.120938%73.1%66,83466.8k4272.100211%72.100211%72.1%4,4324371.709023%71.709023%71.7%10,04510.0k4470.207570%70.207570%70.2%5,1754569.530571%69.530571%69.5%14,39714.4k4667.550581%67.550581%67.6%7,8464767.435089%67.435089%67.4%5,5584866.836594%66.836594%66.8%4,8514964.363263%64.363263%64.4%4,38750
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 Town of Ontario to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Town of Ontario. 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 the Town of Ontario, selected other county subdivisions in the United States, and entities that contain the Town of Ontario
0%20%40%60%80%Count#PlanoSeattle EastZIP Code 14519ZIP 14519Northeast TarrantNE TarrantTown of OntarioOntarioNorthwest 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 AngelesPhoenixWashingtonTampaNortheastNew YorkMiddle AtlanticBrooklynOrlandoUnited States of AmericaUnited StatesChicagoEl PasoLas VegasColumbusOntarioWayne CountyWayneOceanside-EscondidoOceanside-Escond…Rochester Metro AreaRochesterAlbuquerqueBostonMiamiTucsonAtlantaSan Antonio CentralSan Antonio CntrlSacramentoSan BernardinoMilwaukeeBronxFresnoBaltimorePhiladelphiaDetroit93.125861%93.125861%93.1%38,54238.5k192.929857%92.929857%92.9%43,27043.3k292.592593%92.592593%92.6%60092.587844%92.587844%92.6%37,54937.5k391.683992%91.683992%91.7%44191.358362%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%36,87136.9k2884.488623%84.488623%84.5%2,903,3022.90M84.236014%84.236014%84.2%1,033,0571.03M84.184968%84.184968%84.2%2,153,6512.15M84.123947%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%25,45725.5k3283.264614%83.264614%83.3%110,463110k3383.115810%83.115810%83.1%45,27945.3k3483.010786%83.010786%83.0%37,01737.0k3582.906148%82.906148%82.9%4,30282.905810%82.905810%82.9%36,84536.8k3682.620852%82.620852%82.6%49,05249.1k82.351470%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:
New York
County:
Wayne
Metro Area:
Rochester Area
Unincorporated Place:
Ontario
ZIP Code:
14519
Unified School Districts:
Marion, Wayne, Webster, Williamson
Congressional District:
NY-24
State Senate District:
NY-54
Assembly District:
NY-130
Neighboring Towns:
Walworth, Webster, Williamson
Nearby Towns:
Arcadia, East Rochester, Irondequoit, Macedon, Marion, Palmyra, Penfield, Perinton, Pittsford, Sodus