Employment Status in Dayton, Montgomery County, Ohio (City)

Employment Status#1

Percentage of population aged 25 to 64 years old.
Scope: population of Montgomery County and Dayton
Dayton
Montgomery County
0%10%20%30%40%50%CountArmed ForcesEmployed1UnemployedOther20.307289%0.384575%0.307289%0.3%34748.939543%56.036300%48.939543%48.9%55,26455.3k7.537880%5.362708%7.537880%7.5%8,51243.215288%38.216417%43.215288%43.2%48,80048.8k
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 Montgomery County and Dayton
Dayton
Montgomery County
40%20%0%20%40%FMArmed ForcesEmployed1UnemployedOther2-0.124985%-0.124985%-0.124985%0.1%0.124985%0.383243%0.124985%0.383243%0.508228%0.5%74273-48.707079%-48.707079%-48.707079%48.7%48.707079%0.488692%48.707079%0.488692%49.195770%49.2%28,83828.8k26,42626.4k-7.237320%-7.237320%-7.237320%7.2%7.237320%0.631844%7.237320%0.631844%7.869164%7.9%4,2854,227-42.426837%-1.503779%-42.426837%-1.503779%-43.930616%43.9%42.426837%42.426837%42.426837%42.4%26,01026.0k22,79022.8k
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 Dayton
Armed Forces
Employed
Unemployed
Not in Labor Force
75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-190.000000%4.304253%0.000000%95.695747%96%3350.000000%14.436793%14%0.270536%85.292671%85%5870.000000%28.613164%29%1.443547%69.943289%70%1,6650.000000%38.949580%39%1.953782%59.096639%59%1,8540.000000%48.527224%49%3.094317%48.378459%48%1,6310.000000%51.210966%51%4.864475%43.924559%44%4,9690.060544%61.288370%61%6.532663%7%32.118423%32%10,13310.1k0.569260%65.805143%66%7.524701%8%26.100896%26%10,14410.1k0.826121%63.916208%64%12.529504%13%22.728167%23%6,5830.400267%63.775851%64%11.083580%11%24.740303%25%6,7341.620050%60.080310%60%11.381889%11%26.917751%27%4,4560.084114%48.113434%48%12.064408%12%39.738044%40%4,0110.000000%26.617865%27%13.324846%13%60.057288%60%2,5090%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 Dayton
Female
Male
0%20%40%60%80%100%FM75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-193.989%3.99%4.900%4.90%13.914%13.9%15.122%15.1%30.742%30.7%26.251%26.3%41.303%41.3%36.240%36.2%51.675%51.7%44.805%44.8%54.855%54.9%47.490%47.5%59.492%59.5%63.339%63.3%67.962%68.0%64.663%64.7%62.099%62.1%67.450%67.4%57.943%57.9%71.079%71.1%62.723%62.7%60.594%60.6%53.775%53.8%42.834%42.8%30.027%30.0%23.483%23.5%
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 Montgomery County and Dayton
More Females More Males
Montgomery County
Dayton
40%20%0%M:FFM75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-19-53.787879%-53.787879%53.8%14.414414%0.6500.65203132-20.676692%0.000000%-20.676692%20.7%0.8290.83321266-29.972376%-29.972376%30.0%10.245902%0.7690.77941724-31.172070%-31.172070%31.2%4.361979%0.7620.761,052802-36.376812%-36.376812%36.4%6.536725%0.7330.73941690-17.938596%-11.093777%-17.938596%17.9%0.8480.852,6892,280-0.653465%-0.653465%0.7%1.950042%0.9940.995,0835,050-13.288478%-13.288478%13.3%3.594218%0.8830.885,3884,7566.040689%10.574882%6.040689%6.0%1.0601.063,1953,38810.766823%15.502392%10.766823%10.8%1.1081.113,1953,539-11.988582%-10.516934%-11.988582%12.0%0.8930.892,3542,102-20.748487%-20.748487%20.7%1.424563%0.8280.832,1941,817-17.606245%-23.126338%-17.606245%17.6%0.8500.851,3561,153
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 Montgomery County.
Scope: population of Montgomery County, Dayton, and selected other county subdivisions in Montgomery Counties
Dayton
Montgomery County
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0%20%40%60%80%100%%75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-194.900%4.90%15.122%15.1%26.251%26.3%36.240%36.2%44.805%44.8%47.490%47.5%63.339%63.3%64.663%64.7%67.450%67.4%71.079%71.1%60.594%60.6%42.834%42.8%23.483%23.5%
% employed percentage of male population in Dayton

Female Employment by Age#7

Percentage of female population employed by age cohort. Gray areas represent percentile bands from the county subdivisions in Montgomery County.
Scope: population of Montgomery County, Dayton, and selected other county subdivisions in Montgomery Counties
Dayton
Montgomery County
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0%20%40%60%80%100%%75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-193.989%3.99%13.914%13.9%30.742%30.7%41.303%41.3%51.675%51.7%54.855%54.9%59.492%59.5%67.962%68.0%62.099%62.1%57.943%57.9%62.723%62.7%53.775%53.8%30.027%30.0%
% employed percentage of female population in Dayton

Employment among the Married#8

Selected family employment structures as a percentage of all married couple households.
Scope: households in Montgomery County and Dayton
Dayton
Montgomery 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 …219.917071%24.814910%19.917071%19.9%2,8349.262773%8.537091%9.262773%9.3%1,3182.986858%1.523280%2.986858%3.0%4252.185677%0.850125%2.185677%2.2%31124.991215%26.385233%24.991215%25.0%3,55611.279781%11.115467%11.279781%11.3%1,60510.183428%6.899564%10.183428%10.2%1,44919.193197%19.874329%19.193197%19.2%2,731
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 Montgomery County and Dayton
Dayton
Montgomery County
0%20%40%60%CountBoth WorkStay at Home MomsStay at Home DadsNeither Work57.978723%69.460120%57.978723%58.0%2,83426.963993%23.896413%26.963993%27.0%1,3188.694763%4.263858%8.694763%8.7%4256.362520%2.379609%6.362520%6.4%311

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 Montgomery County and Dayton
Dayton
Montgomery County
0%10%20%30%40%CountBoth WorkLadies Who LunchGents Who LunchNeither Work38.068729%41.050797%38.068729%38.1%3,55617.182315%17.293718%17.182315%17.2%1,60515.512258%10.734513%15.512258%15.5%1,44929.236698%30.920972%29.236698%29.2%2,731

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 Montgomery County and Dayton
Dayton
Montgomery County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma381.012365%84.147917%81.012365%81.0%10,48310.5k63.366264%73.184747%63.366264%63.4%17,19017.2k53.549891%64.520690%53.549891%53.5%10,56710.6k36.322014%40.774995%36.322014%36.3%3,808
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 Montgomery County and Dayton
Female Male
Montgomery County
Dayton
Shaded bar tips show excess over facing bar.
40%20%0%20%40%60%%AsianHispanic1BlackOtherMixedWhite-44.270016%-29.675029%-12.751479%-44.270016%44.3%44.270016%17.804814%29.675029%62.074830%62.1%52.816%52.8%-44.909234%-11.047444%-31.571951%-15.111816%-55.956679%56.0%44.909234%31.571951%44.909234%44.9%50.063%50.1%-45.891668%-39.065812%-45.891668%45.9%45.891668%3.549020%39.065812%3.281739%49.440688%49.4%47.526%47.5%-42.194093%-9.619379%-32.155907%-9.635137%-51.813472%51.8%42.194093%32.155907%42.194093%42.2%46.512%46.5%-40.287081%-3.405789%-34.901961%-5.975699%-43.692870%43.7%40.287081%34.901961%40.287081%40.3%42.029%42.0%-41.471989%-27.306829%-5.772105%-41.471989%41.5%41.471989%0.704400%27.306829%42.176390%42.2%41.827%41.8%
% 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 Montgomery County and Dayton
Female Male
Montgomery County
Dayton
Shaded bar tips show excess over facing bar.
10%5%0%5%10%%MixedBlackOtherWhiteAsianHispanic1-11.608775%-11.462766%-11.608775%11.6%11.608775%1.979742%11.462766%0.834153%13.588517%13.6%12.576%12.6%-12.274124%-0.541145%-10.473188%-12.815269%12.8%12.274124%10.473188%1.289167%12.274124%12.3%12.566%12.6%-4.922280%-4.690832%-4.922280%4.9%4.922280%3.938480%4.690832%4.444369%8.860759%8.9%7.093%7.09%-5.696681%-4.700161%-5.696681%5.7%5.696681%1.596420%4.700161%1.082335%7.293102%7.3%6.501%6.50%-1.360544%-9.628467%-3.164196%-3.188569%-10.989011%11.0%1.360544%3.164196%1.360544%1.4%6.367%6.37%-2.446725%-3.961218%-4.852110%-1.670425%-6.407942%6.4%2.446725%4.852110%2.446725%2.4%4.295%4.29%
% 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 Montgomery County and Dayton
Female Male
Montgomery County
Dayton
Shaded bar tips show excess over facing bar.
1%0%1%2%3%4%%Hispanic1MixedWhiteBlackAsianOther-0.000000%-0.000000%0.000000%0.0%0.000000%4.498816%0.000000%3.954802%4.498816%4.5%2.400%2.40%-1.052632%-0.775522%-0.691489%-1.828154%1.8%1.052632%0.691489%0.933160%1.052632%1.1%1.449%1.45%-0.117185%-0.157511%-0.117185%0.1%0.117185%0.556655%0.157511%0.620886%0.673839%0.7%0.398%0.40%-0.120602%-0.190759%-0.120602%0.1%0.120602%0.026909%0.190759%0.316637%0.147511%0.1%0.133%0.13%-0.000000%-0.274041%0.000000%0.0%0.000000%0.000000%0.274041%0.239072%0.000000%0.0%0.000%0%-0.000000%-1.137171%0.000000%0.0%0.000000%0.000000%1.137171%0.141757%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 Montgomery County and Dayton
Female Male
Montgomery County
Dayton
Shaded bar tips show excess over facing bar.
60%40%20%0%20%40%60%%WhiteMixedOtherBlackHispanic1Asian-57.823610%-0.704400%-66.921066%-58.528011%58.5%57.823610%66.921066%5.772105%57.823610%57.8%58.173%58.2%-56.307130%-59.122340%-56.307130%56.3%56.307130%3.405789%59.122340%5.975699%59.712919%59.7%57.971%58.0%-48.186528%-58.208955%-48.186528%48.2%48.186528%9.619379%58.208955%9.635137%57.805907%57.8%53.488%53.5%-50.559312%-3.549020%-57.652449%-3.281739%-54.108332%54.1%50.559312%57.652449%50.559312%50.6%52.474%52.5%-44.043321%-53.316233%-44.043321%44.0%44.043321%11.047444%53.316233%15.111816%55.090766%55.1%49.937%49.9%-37.925170%-17.804814%-57.573493%-55.729984%55.7%37.925170%57.573493%12.751479%37.925170%37.9%47.184%47.2%
% percentage of both sexes combined
1white Hispanic

Map of Employment Status by Neighborhood in Dayton

Both Parents Work Employment Status by Neighborhood#16

Percentage of married families with children under the age of 18 present in which both parents work outside the home (%):
0%9%17%26%34%44%

Stay at Home Moms Employment Status by Neighborhood#17

Percentage of married families with children under the age of 18 present in which the husband works outside the home and the wife stays at home (%):
0%6%11%17%23%29%

Stay at Home Dads Employment Status by Neighborhood#18

Percentage of married families with children under the age of 18 present in which the wife works outside the home and the husband stays at home (%):
0.0%2.9%5.7%8.6%11.4%14.3%

Neither Parent Works Employment Status by Neighborhood#19

Percentage of married families with children under the age of 18 present in which neither parent works outside the home (%):
0.0%3.5%7.1%10.6%14.2%17.8%

Employed Working-Age Men Employment Status by Neighborhood#20

Percentage of male population aged 35 to 44 years old that are employed
26%40%53%66%79%93%
Road Data ©OpenStreetMap

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Map of Employment Status by Tract in Dayton

Both Parents Work Employment Status by Tract#21

Percentage of married families with children under the age of 18 present in which both parents work outside the home (%):
0%9%17%26%34%44%

Stay at Home Moms Employment Status by Tract#22

Percentage of married families with children under the age of 18 present in which the husband works outside the home and the wife stays at home (%):
0%7%15%22%29%37%

Stay at Home Dads Employment Status by Tract#23

Percentage of married families with children under the age of 18 present in which the wife works outside the home and the husband stays at home (%):
0.0%3.1%6.3%9.4%12.5%15.7%

Neither Parent Works Employment Status by Tract#24

Percentage of married families with children under the age of 18 present in which neither parent works outside the home (%):
0.0%3.5%7.1%10.6%14.2%17.8%

Employed Working-Age Men Employment Status by Tract#25

Percentage of male population aged 35 to 44 years old that are employed
23%39%54%70%85%100%
Road Data ©OpenStreetMap

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Employment Status by Neighborhood in Dayton

There are 65 neighborhoods that are fully or partially contained within Dayton (55 fully and 10 partially). This section compares the 50 most populous of those to each other, Dayton, and other entities that contain or substantially overlap with Dayton. The least populous of the compared neighborhoods has a population of 770.

Employed Working-Age Men by Neighborhood#30

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of Dayton, selected neighborhoods in Dayton, and entities that contain Dayton
0%20%40%60%80%Count#University Row NeighborhoodUniv RowHearthstone NeighborhoodHearthstoneDeweese NeighborhoodDeweesePheasant Hill NeighborhoodPheasant HillHighview Hills NeighborhoodHighview HlsEastmont NeighborhoodEastmontWalnut Hills NeighborhoodWalnut HillsMidwestUnited States of AmericaUnited StatesNorthern Hills NeighborhoodN HlsEast North CentralPatterson Park NeighborhoodPatterson PkSouth Park NeighborhoodSouth ParkShroyer Park NeighborhoodShroyer ParkOhioDayton Metro AreaDayton AreaHistoric Inner East NeighborhoodHist Inner ESpringfield NeighborhoodSpringfieldMontgomery CountyMontgomeryNorthridge Estates NeighborhoodNorthridge EstsMcCook Field NeighborhoodMcCook FieldSanta Clara NeighborhoodSanta ClaraForest Ridge-Quail Hollow NeighborhoodFrst Rdg-Quail Holl…Wesleyan Hill NeighborhoodWesleyan HillTwin Towers NeighborhoodTwin TowersCollege Hill NeighborhoodCollege HillCornell Heights NeighborhoodCornell HtsBelmont NeighborhoodBelmontWright View NeighborhoodWright ViewGateway NeighborhoodGatewayLakeview NeighborhoodLakeviewEastern Hills NeighborhoodEastern HillsMacFarlane NeighborhoodMacFarlaneDaytonDaytonMiami Chapel NeighborhoodMiami ChapelOld North Dayton NeighborhoodOld N DaytonGrafton Hill NeighborhoodGrafton HillBurkhardt NeighborhoodBurkhardtLittle Richmond NeighborhoodLittle RichmondLinden Heights NeighborhoodLinden HtsFive Oaks NeighborhoodFive OaksResidence Park NeighborhoodResidence PkGreenwich Village NeighborhoodGreenwich VlgNorth Riverdale NeighborhoodN RiverdaleWest Wood NeighborhoodWest WoodHillcrest NeighborhoodHillcrestRiverdale NeighborhoodRiverdaleDowntown NeighborhoodDowntownOregon NeighborhoodOregonFairview NeighborhoodFairviewEdgemont NeighborhoodEdgemontDayton View Triangle NeighborhoodDayton Vw TrnglSouthern Dayton View NeighborhoodS Dayton VwOld Dayton View NeighborhoodOld Dayton VwUniversity Park NeighborhoodUniv PkFairlane NeighborhoodFairlaneGermantown Meadows NeighborhoodGermantown Mdws92.500000%92.500000%92.5%4748191.730847%91.730847%91.7%110291.428571%91.428571%91.4%62390.804598%90.804598%90.8%201202489.090909%89.090909%89.1%4142585.957041%85.957041%86.0%184185685.504243%85.504243%85.5%311312784.507990%84.507990%84.5%3,510,6363.51M83.826751%83.826751%83.8%16,918,49516.9M83.374326%83.374326%83.4%140141883.320331%83.320331%83.3%2,401,9262.40M83.132530%83.132530%83.1%52982.812500%82.812500%82.8%1071082.699981%82.699981%82.7%871182.343836%82.343836%82.3%575,063575k81.756113%81.756113%81.8%36,88136.9k81.428571%81.428571%81.4%1461280.737696%80.737696%80.7%61621380.022131%80.022131%80.0%23,86523.9k78.550224%78.550224%78.6%1381391476.265338%76.265338%76.3%341575.187970%75.187970%75.2%72731674.473684%74.473684%74.5%1271774.157303%74.157303%74.2%581871.428571%71.428571%71.4%1051061971.271798%71.271798%71.3%412071.134021%71.134021%71.1%362170.403032%70.403032%70.4%4872269.948507%69.948507%69.9%1482368.596706%68.596706%68.6%602466.442953%66.442953%66.4%74752566.246725%66.246725%66.2%1982665.789474%65.789474%65.8%16172764.663494%64.663494%64.7%4,75664.663494%64.663494%64.7%4,75663.636364%63.636364%63.6%11122860.004607%60.004607%60.0%1901912957.722156%57.722156%57.7%213056.776134%56.776134%56.8%1181193155.973671%55.973671%56.0%29303254.873646%54.873646%54.9%1403354.601227%54.601227%54.6%1013454.443270%54.443270%54.4%82833552.884615%52.884615%52.9%563651.929248%51.929248%51.9%1891903749.746458%49.746458%49.7%1293849.665189%49.665189%49.7%1093948.333333%48.333333%48.3%364046.685879%46.685879%46.7%944146.685879%46.685879%46.7%564243.288255%43.288255%43.3%534341.237113%41.237113%41.2%294439.792388%39.792388%39.8%494538.679245%38.679245%38.7%47484638.095238%38.095238%38.1%194733.170626%33.170626%33.2%244829.506592%29.506592%29.5%254926.563809%26.563809%26.6%1450
Count number of employed 35 to 44 year old men
# rank of neighborhood out of 50 by percentage employed 35 to 44 year old men

Employment Status by County Subdivision in the Dayton Area

There are 52 county subdivisions in the Dayton Area. This section compares Dayton to the 50 most populous county subdivisions in the Dayton Area and to those entities that contain or substantially overlap with Dayton. The least populous of the compared county subdivisions has a population of 538.

Employed Working-Age Men by County Subdivision#35

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of Dayton, selected other county subdivisions in the Dayton Area, and entities that contain Dayton
0%50%100%Count#Newton TownshipNewtonSpringcreek TownshipSpringcreekElizabeth TownshipElizabethWashington TownshipWashingtonCaesarscreek TownshipCaesarscreekRoss TownshipKetteringJackson TownshipJacksonLostcreek TownshipLostcreekBellbrookOakwoodCedarville TownshipCedarvilleBrown TownshipBrownUnion City TownshipUnion CityGerman TownshipGermanStaunton TownshipStauntonNew Jasper TownshipNew JasperXenia TownshipXeniaJefferson TownshipJeffersonMonroe TownshipMonroeClay TownshipWashington TownshipWashingtonVandaliaUnion TownshipUnionButler TownshipButlerMiami TownshipMiamiBeavercreek TownshipBeavercreekSugarcreek TownshipSugarcreekKetteringHuber HeightsConcord TownshipConcordSilvercreek TownshipSilvercreekMidwestUnited States of AmericaUnited StatesHuber HeightsEnglewoodEast North CentralSpring Valley TownshipSpg VlyOhioDayton Metro AreaDayton AreaPiquaMiami TownshipMiamiMontgomery CountyMontgomeryRiversideClaytonMoraineBath TownshipNewberry TownshipNewberryTrotwoodXeniaWest CarrolltonW CarrolltonPerry TownshipPerryDaytonDaytonHarrison TownshipHarrisonBethel TownshipBethelJefferson TownshipJefferson100.000000%100.000000%100.0%2031100.000000%100.000000%100.0%1532100.000000%100.000000%100.0%843100.000000%100.000000%100.0%594100.000000%100.000000%100.0%255100.000000%100.000000%100.0%556100.000000%100.000000%100.0%16798.564593%98.564593%98.6%412898.529412%98.529412%98.5%67998.005698%98.005698%98.0%3441096.326531%96.326531%96.3%4721196.124031%96.124031%96.1%1241296.052632%96.052632%96.1%731395.254237%95.254237%95.3%2811495.027624%95.027624%95.0%5161594.400000%94.400000%94.4%1181694.230769%94.230769%94.2%1471794.043887%94.043887%94.0%3001893.750000%93.750000%93.8%751993.133998%93.133998%93.1%8412092.122538%92.122538%92.1%4212191.687268%91.687268%91.7%2,9672290.859630%90.859630%90.9%8352390.656064%90.656064%90.7%4562490.322581%90.322581%90.3%3642589.488201%89.488201%89.5%2,9202689.411367%89.411367%89.4%2,6432788.729508%88.729508%88.7%4332888.638690%88.638690%88.6%2,5982987.153285%87.153285%87.2%1,7913086.511402%86.511402%86.5%1,7833184.878049%84.878049%84.9%1743284.507990%84.507990%84.5%3,510,6363.51M83.826751%83.826751%83.8%16,918,49516.9M83.636364%83.636364%83.6%1383383.442838%83.442838%83.4%6353483.320331%83.320331%83.3%2,401,9262.40M82.352941%82.352941%82.4%1123582.343836%82.343836%82.3%575,063575k81.756113%81.756113%81.8%36,88136.9k80.778210%80.778210%80.8%1,0383680.689655%80.689655%80.7%2343780.022131%80.022131%80.0%23,86523.9k79.935897%79.935897%79.9%1,2473879.864253%79.864253%79.9%7063978.417266%78.417266%78.4%3274077.452745%77.452745%77.5%1,7214176.605505%76.605505%76.6%3344275.186567%75.186567%75.2%8064375.035063%75.035063%75.0%1,0704474.890511%74.890511%74.9%5134566.588235%66.588235%66.6%2834664.663494%64.663494%64.7%4,75664.663494%64.663494%64.7%4,7564763.643351%63.643351%63.6%8284862.619808%62.619808%62.6%1964952.974504%52.974504%53.0%18750
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 Ohio

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

Employed Working-Age Men by County Subdivision#40

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of Dayton, selected other county subdivisions in Ohio, and entities that contain Dayton
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 TownshipColerainOhioDayton Metro AreaDayton AreaEuclidCleveland HeightsCleveland HtsMontgomery CountyMontgomeryNewarkLorainMiddletownBath TownshipElyriaCincinnatiCantonToledoAkronLancaster City TownshipLancaster CityHamiltonSpringfieldDaytonDaytonClevelandLimaWarrenYoungstownMarion 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%575,063575k81.756113%81.756113%81.8%36,88136.9k80.760000%80.760000%80.8%2,0193080.714576%80.714576%80.7%1,9883180.022131%80.022131%80.0%23,86523.9k78.479967%78.479967%78.5%1,9003278.409091%78.409091%78.4%2,8293377.764178%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%4,75664.663494%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 Dayton to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with Dayton. The least populous of the compared county subdivisions has a population of 112,821.

Employed Working-Age Men by County Subdivision#45

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of Dayton, selected other county subdivisions in the Midwest, and entities that contain Dayton
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 TownshipCapitalWarrenDayton Metro AreaDayton AreaKaw TownshipNorth TownshipNTopekaMontgomery CountyMontgomeryMilwaukeeGrand RapidsSt. LouisRockford TownshipRockfordCincinnatiSpringfield TownshipSpringfieldToledoAkronThornton TownshipThorntonCenter TownshipCtrDaytonDaytonClevelandDetroit93.627366%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%6,4653481.756113%81.756113%81.8%36,88136.9k81.379310%81.379310%81.4%9,2043581.018469%81.018469%81.0%7,5893680.647875%80.647875%80.6%5,7513780.022131%80.022131%80.0%23,86523.9k78.119364%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%4,75664.663494%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 Dayton to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Dayton. The least populous of the compared county subdivisions has a population of 547,300.

Employed Working-Age Men by County Subdivision#50

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of Dayton, selected other county subdivisions in the United States, and entities that contain Dayton
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…AlbuquerqueOhioBostonDayton Metro AreaDayton AreaMiamiTucsonMontgomery CountyMontgomeryAtlantaSan Antonio CentralSan Antonio CntrlSacramentoSan BernardinoMilwaukeeBronxFresnoBaltimorePhiladelphiaDaytonDaytonDetroit93.125861%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%33,06233.1k3881.756113%81.756113%81.8%36,88136.9k81.570097%81.570097%81.6%57,48057.5k3980.378047%80.378047%80.4%40,09940.1k4080.022131%80.022131%80.0%23,86523.9k79.983871%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%66,83466.8k4964.663494%64.663494%64.7%4,75664.663494%64.663494%64.7%4,75658.323492%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

For additional information about the data presented on this site, including our sources, please see the About Page.

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State:
Ohio
County:
Montgomery
Metro Area:
Dayton Area
City:
Dayton
ZIP Codes:
45377, 45402, 45403, 45404, 45405, 45406, 45409, 45410, 45414, 45415, 45416, 45417, 45419, 45420, 45424, 45426, 45428, 45431, 45432
Unified School Districts:
Dayton, Fairborn, Huber Heights, Jefferson Township, Kettering, Mad River, Northridge, Trotwood-Madison, Vandalia-Butler
Neighborhoods:
Arlington Heights, Belmont, Burkhardt, Carillon, College Hill, Cornell Heights, Dayton View Triangle, Deweese, Downtown, Eastern Hills, Eastmont, Edgemont, Fairlane, Fairview, Five Oaks, Five Points, Forest Ridge-Quail Hollow, Gateway, Germantown Meadows, Grafton Hill, Greenwich Village, Hearthstone, Highview Hills, Hillcrest, Historic Inner East, Kittyhawk, Lakeview, Linden Heights, Little Richmond, MacFarlane, Madden Hills, McCook Field, McPherson, Miami Chapel, Midtown, Mount Vernon, North Riverdale, Northern Hills, Northridge Estates, Old Dayton View, Old North Dayton, Oregon, Patterson Park, Pheasant Hill, Philadelphia Woods, Pineview, Princeton Heights, Residence Park, Riverdale, Roosevelt, Santa Clara, Shroyer Park, South Park, Southern Dayton View, Springfield, Stoney Ridge, Twin Towers, University Park, University Row, Walnut Hills, Webster Station, Wesleyan Hill, West Wood, Wolf Creek, Wright View
Congressional District:
OH-10
State Senate Districts:
OH-5, OH-6
State House Districts:
OH-39, OH-40, OH-41, OH-43
Neighboring Townships:
Bath, Butler, Harrison, Jefferson
Nearby Townships:
Beavercreek, Miami, Union City, Washington, Wayne