Employment Status in Congressional District 4, Ohio (Congressional District)

Employment Status#1

Percentage of population aged 25 to 64 years old.
Scope: population of Ohio and Congressional District 4
Congressional District 4
Ohio
0%10%20%30%40%50%CountArmed ForcesEmployed1UnemployedOther20.030737%0.087696%0.030737%0.0%17557.681499%58.618514%57.681499%57.7%328,405328k4.154796%4.580407%4.154796%4.2%23,65523.7k38.132968%36.713383%38.132968%38.1%217,107217k
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 Ohio and Congressional District 4
Congressional District 4
Ohio
50%0%50%FMArmed ForcesEmployed1UnemployedOther2-0.004189%-0.004189%-0.004189%0.0%0.004189%0.053431%0.004189%0.053431%0.057620%0.1%12163-54.151772%-54.151772%-54.151772%54.2%54.151772%7.103999%54.151772%7.103999%61.255771%61.3%155,121155k173,284173k-3.737049%-3.737049%-3.737049%3.7%3.737049%0.840767%3.737049%0.840767%4.577816%4.6%10,70510.7k12,95013.0k-34.108793%-7.998197%-34.108793%-7.998197%-42.106990%42.1%34.108793%34.108793%34.108793%34.1%120,618121k96,48996.5k
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 Congressional District 4
Armed Forces
Employed
Unemployed
Not in Labor Force
75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-190.000000%5.365448%0.094999%94.539553%95%2,7110.000000%14.513294%15%0.527357%84.959350%85%3,9630.000000%25.654307%26%0.849571%73.496122%73%9,3610.000000%46.330866%46%1.564859%52.104275%52%12,58312.6k0.000000%59.325447%59%2.436446%38.238107%38%11,78511.8k0.000000%68.736331%69%2.507692%28.755977%29%37,08637.1k0.031121%75.323763%75%3.757655%20.887461%21%75,06175.1k0.040231%77.483390%77%4.105842%18.370537%18%67,44467.4k0.068460%75.364303%75%5.750611%18.816626%19%30,85230.9k0.123804%74.192844%74%6.998592%7%18.684760%19%30,61430.6k0.000000%72.279975%72%9.034072%9%18.685953%19%19,53819.5k0.153390%67.046733%67%9.653339%10%23.146539%23%13,14313.1k0.000000%37.260974%37%10.350701%10%52.388325%52%14,43914.4k0%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 Congressional District 4
Female
Male
0%20%40%60%80%100%FM75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-193.678%3.68%7.884%7.88%10.885%10.9%18.738%18.7%22.139%22.1%29.433%29.4%42.117%42.1%50.657%50.7%56.753%56.8%61.865%61.9%66.315%66.3%71.159%71.2%72.755%72.8%77.878%77.9%74.947%74.9%80.041%80.0%71.150%71.1%79.443%79.4%70.199%70.2%78.106%78.1%71.576%71.6%72.897%72.9%68.766%68.8%65.742%65.7%41.283%41.3%33.633%33.6%
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 Ohio and Congressional District 4
More Females More Males
Ohio
Congressional District 4
0%20%40%M:FFM75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-1943.575921%41.806283%43.575921%43.6%1.4361.441,1131,59847.842402%14.931441%47.842402%47.8%1.4781.481,5992,36423.679809%13.148495%23.679809%23.7%1.2371.244,1855,17617.172938%5.055851%17.172938%17.2%1.1721.175,7946,78910.408856%9.540596%10.408856%10.4%1.1041.105,6016,1847.265411%5.096583%7.265411%7.3%1.0731.0717,89317.9k19,19319.2k10.319706%6.852807%10.319706%10.3%1.1031.1035,68935.7k39,37239.4k9.316905%10.175457%9.316905%9.3%1.0931.0932,22132.2k35,22335.2k19.243889%12.744266%19.243889%19.2%1.1921.1914,07214.1k16,78016.8k20.912109%9.093367%20.912109%20.9%1.2091.2113,85813.9k16,75616.8k16.247925%2.086243%16.247925%16.2%1.1621.169,03510,50310.5k-2.437960%2.636448%2.636448%2.6%1.0261.036,4866,657-10.726795%-14.141187%-10.726795%10.7%0.9030.907,5876,852
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 congressional districts in Ohio.
Scope: population of Ohio, Congressional District 4, and selected other congressional districts in Ohios
Congressional District 4
Ohio
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0%20%40%60%80%100%%75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-197.884%7.88%18.738%18.7%29.433%29.4%50.657%50.7%61.865%61.9%71.159%71.2%77.878%77.9%80.041%80.0%79.443%79.4%78.106%78.1%72.897%72.9%65.742%65.7%33.633%33.6%
% employed percentage of male population in Congressional District 4

Female Employment by Age#7

Percentage of female population employed by age cohort. Gray areas represent percentile bands from the congressional districts in Ohio.
Scope: population of Ohio, Congressional District 4, and selected other congressional districts in Ohios
Congressional District 4
Ohio
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0%20%40%60%80%100%%75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-193.678%3.68%10.885%10.9%22.139%22.1%42.117%42.1%56.753%56.8%66.315%66.3%72.755%72.8%74.947%74.9%71.150%71.1%70.199%70.2%71.576%71.6%68.766%68.8%41.283%41.3%
% employed percentage of female population in Congressional District 4

Employment among the Married#8

Selected family employment structures as a percentage of all married couple households.
Scope: households in Ohio and Congressional District 4
Congressional District 4
Ohio
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 …225.757337%25.983573%25.757337%25.8%35,89835.9k7.243309%9.039833%7.243309%7.2%10,09510.1k1.231255%1.445088%1.231255%1.2%1,7160.450599%0.619873%0.450599%0.5%62826.568846%26.752960%26.568846%26.6%37,02937.0k11.262108%11.096818%11.262108%11.3%15,69615.7k7.599196%6.984818%7.599196%7.6%10,59110.6k19.887350%18.077038%19.887350%19.9%27,71727.7k
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 Ohio and Congressional District 4
Congressional District 4
Ohio
0%20%40%60%CountBoth WorkStay at Home MomsStay at Home DadsNeither Work74.266090%70.058553%74.266090%74.3%35,89835.9k20.884623%24.373769%20.884623%20.9%10,09510.1k3.550076%3.896337%3.550076%3.6%1,7161.299212%1.671341%1.299212%1.3%628

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 Ohio and Congressional District 4
Congressional District 4
Ohio
0%10%20%30%40%CountBoth WorkLadies Who LunchGents Who LunchNeither Work40.676458%42.524663%40.676458%40.7%37,02937.0k17.242099%17.638738%17.242099%17.2%15,69615.7k11.634243%11.102585%11.634243%11.6%10,59110.6k30.447200%28.734015%30.447200%30.4%27,71727.7k

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 Ohio and Congressional District 4
Congressional District 4
Ohio
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma384.786807%84.712194%84.786807%84.8%57,07057.1k75.170038%75.098475%75.170038%75.2%94,05294.1k69.379261%67.335954%69.379261%69.4%101,352101k41.553566%44.096181%41.553566%41.6%12,95113.0k
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 Ohio and Congressional District 4
Female Male
Ohio
Congressional District 4
Shaded bar tips show excess over facing bar.
40%20%0%20%40%60%%BlackMixedOtherHispanic1AsianWhite-46.763566%-38.445998%-46.763566%46.8%46.763566%16.561445%38.445998%7.202429%63.325011%63.3%56.736%56.7%-43.227830%-41.032993%-43.227830%43.2%43.227830%6.150578%41.032993%1.659463%49.378408%49.4%46.713%46.7%-36.124083%-8.247358%-31.092737%-12.328041%-44.371441%44.4%36.124083%31.092737%36.124083%36.1%39.689%39.7%-32.354063%-6.244046%-27.897065%-11.724194%-38.598109%38.6%32.354063%27.897065%32.354063%32.4%35.181%35.2%-28.975811%-11.668811%-23.461389%-18.946969%-40.644621%40.6%28.975811%23.461389%28.975811%29.0%35.411%35.4%-26.039847%-6.182209%-25.388348%-6.777817%-32.222055%32.2%26.039847%25.388348%26.039847%26.0%29.114%29.1%
% 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 Ohio and Congressional District 4
Female Male
Ohio
Congressional District 4
Shaded bar tips show excess over facing bar.
10%5%0%5%10%%MixedBlackOtherHispanic1WhiteAsian-10.556161%-2.161261%-8.958090%-12.717422%12.7%10.556161%8.958090%0.298681%10.556161%10.6%11.493%11.5%-9.379845%-10.073896%-9.379845%9.4%9.379845%0.203408%10.073896%2.275518%9.583253%9.6%9.502%9.50%-5.570380%-6.781788%-7.702793%-0.549861%-12.352168%12.4%5.570380%7.702793%5.570380%5.6%8.502%8.50%-5.532240%-1.338869%-5.645140%-6.871109%6.9%5.532240%5.645140%1.623928%5.532240%5.5%6.138%6.14%-4.185313%-4.018078%-4.185313%4.2%4.185313%0.889306%4.018078%1.146919%5.074619%5.1%4.632%4.63%-0.617602%-3.400816%-2.752555%-0.545356%-4.018418%4.0%0.617602%2.752555%0.617602%0.6%2.493%2.49%
% 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 Ohio and Congressional District 4
Female Male
Ohio
Congressional District 4
Shaded bar tips show excess over facing bar.
0.0%0.2%0.4%0.6%%WhiteHispanic1BlackAsianMixedOther-0.006007%-0.027299%-0.006007%0.01%0.006007%0.074676%0.027299%0.152690%0.080683%0.08%0.044%0.04%-0.000000%-0.111943%0.000000%0.00%0.000000%0.000000%0.111943%0.504374%0.000000%0.00%0.000%0%-0.000000%-0.038412%0.000000%0.00%0.000000%0.000000%0.038412%0.074238%0.000000%0.00%0.000%0%-0.000000%-0.074030%0.000000%0.00%0.000000%0.000000%0.074030%0.108353%0.000000%0.00%0.000%0%-0.000000%-0.089169%0.000000%0.00%0.000000%0.000000%0.089169%0.334397%0.000000%0.00%0.000%0%-0.000000%-0.041641%0.000000%0.00%0.000000%0.000000%0.041641%0.108080%0.000000%0.00%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 Ohio and Congressional District 4
Female Male
Ohio
Congressional District 4
Shaded bar tips show excess over facing bar.
60%40%20%0%20%40%60%%WhiteAsianHispanic1OtherMixedBlack-67.777945%-67.833834%-67.777945%67.8%67.777945%6.182209%67.833834%6.777817%73.960153%74.0%70.886%70.9%-59.355379%-57.591642%-59.355379%59.4%59.355379%11.668811%57.591642%18.946969%71.024189%71.0%64.589%64.6%-61.401891%-60.378741%-61.401891%61.4%61.401891%6.244046%60.378741%11.724194%67.645937%67.6%64.819%64.8%-55.628559%-56.579221%-55.628559%55.6%55.628559%8.247358%56.579221%12.328041%63.875917%63.9%60.311%60.3%-50.621592%-6.150578%-57.307545%-1.659463%-56.772170%56.8%50.621592%57.307545%50.621592%50.6%53.287%53.3%-36.674989%-16.561445%-54.351573%-7.202429%-53.236434%53.2%36.674989%54.351573%36.674989%36.7%43.264%43.3%
% percentage of both sexes combined
1white Hispanic

Map of Employment Status by County in Congressional District 4

Both Parents Work Employment Status by County#16

Percentage of married families with children under the age of 18 present in which both parents work outside the home (%):
21.0%23.5%25.9%28.4%30.8%33.3%

Stay at Home Moms Employment Status by County#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 (%):
4.1%5.6%7.2%8.7%10.2%11.7%

Stay at Home Dads Employment Status by County#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 (%):
0.65%0.92%1.18%1.44%1.70%1.97%

Neither Parent Works Employment Status by County#19

Percentage of married families with children under the age of 18 present in which neither parent works outside the home (%):
0.04%0.24%0.44%0.64%0.83%1.04%

Employed Working-Age Men Employment Status by County#20

Percentage of male population aged 35 to 44 years old that are employed
55%63%71%78%86%94%
Road Data ©OpenStreetMap

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Map of Employment Status by County Subdivision in Congressional District 4

Both Parents Work Employment Status by County Subdivision#21

Percentage of married families with children under the age of 18 present in which both parents work outside the home (%):
0%10%19%29%39%49%

Stay at Home Moms Employment Status by County Subdivision#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%11%23%34%45%57%

Stay at Home Dads Employment Status by County Subdivision#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 County Subdivision#24

Percentage of married families with children under the age of 18 present in which neither parent works outside the home (%):
0.0%1.2%2.3%3.5%4.6%5.8%

Employed Working-Age Men Employment Status by County Subdivision#25

Percentage of male population aged 35 to 44 years old that are employed
0%20%40%60%80%100%
Road Data ©OpenStreetMap

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Map of Employment Status by Tract in Congressional District 4

Both Parents Work Employment Status by Tract#26

Percentage of married families with children under the age of 18 present in which both parents work outside the home (%):
0%10%21%31%41%52%

Stay at Home Moms Employment Status by Tract#27

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%12%18%24%30%

Stay at Home Dads Employment Status by Tract#28

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%2.7%5.4%8.1%10.8%13.6%

Neither Parent Works Employment Status by Tract#29

Percentage of married families with children under the age of 18 present in which neither parent works outside the home (%):
0.0%3.9%7.9%11.8%15.7%19.7%

Employed Working-Age Men Employment Status by Tract#30

Percentage of male population aged 35 to 44 years old that are employed
0%20%40%60%80%100%
Road Data ©OpenStreetMap

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Employment Status by Place in Congressional District 4

There are 125 places that are fully or partially contained within Congressional District 4 (112 fully and 13 partially). This section compares the 50 most populous of those to each other, Congressional District 4, and other entities that contain or substantially overlap with Congressional District 4. The least populous of the compared places has a population of 1,323.

Employed Working-Age Men by Place#35

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of Congressional District 4, selected places in Congressional District 4, and entities that contain Congressional District 4
0%50%100%Count#DelphosBlufftonNew CaliforniaSouth AmherstFort LoramieNew BremenAnnaMinsterCrestlineDublinBellevueSt. ParisGibsonburgMarysvilleNorth LewisburgN LewisburgBellefontaineWoodvilleElidaWapakonetaCelinaGreen SpringsJackson CenterJackson CtrSpencervilleBotkinsAmherstPlain CitySheffieldTiffinWest LibertySt. MarysUrbanaMidwestUnited States of AmericaUnited StatesWakemanEast North CentralNorwalkClydeOhioOberlinFremontSidneyCongressional District 4OH-4GalionFostoriaMechanicsburgElyriaDe GraffFort ShawneeRichwoodBallvilleBucyrusCridersvilleLimaMarionGrafton100.000000%100.000000%100.0%5141100.000000%100.000000%100.0%3092100.000000%100.000000%100.0%2573100.000000%100.000000%100.0%914100.000000%100.000000%100.0%100597.969543%97.969543%98.0%193697.142857%97.142857%97.1%136796.951220%96.951220%97.0%159896.858639%96.858639%96.9%185993.967645%93.967645%94.0%3,4271093.891403%93.891403%93.9%4151193.793103%93.793103%93.8%1361293.373494%93.373494%93.4%1551393.125811%93.125811%93.1%1,4361492.233010%92.233010%92.2%951592.018779%92.018779%92.0%5881691.489362%91.489362%91.5%1291790.797546%90.797546%90.8%1481890.356083%90.356083%90.4%6091989.949749%89.949749%89.9%7162089.763780%89.763780%89.8%1142188.970588%88.970588%89.0%1212288.888889%88.888889%88.9%562388.596491%88.596491%88.6%1012487.955182%87.955182%88.0%6282587.804878%87.804878%87.8%3242687.628866%87.628866%87.6%1702787.111111%87.111111%87.1%7842886.046512%86.046512%86.0%742985.009862%85.009862%85.0%4313084.771574%84.771574%84.8%5013184.507990%84.507990%84.5%3,510,6363.51M83.826751%83.826751%83.8%16,918,49516.9M83.823529%83.823529%83.8%573283.320331%83.320331%83.3%2,401,9262.40M82.582938%82.582938%82.6%6973382.425308%82.425308%82.4%4693482.343836%82.343836%82.3%575,063575k82.051282%82.051282%82.1%2563581.539980%81.539980%81.5%8263680.982143%80.982143%81.0%9073780.041358%80.041358%80.0%35,22335.2k78.549849%78.549849%78.5%5203878.271919%78.271919%78.3%6163977.325581%77.325581%77.3%1334076.710647%76.710647%76.7%2,5004175.833333%75.833333%75.8%914275.471698%75.471698%75.5%2804374.213836%74.213836%74.2%1184470.754717%70.754717%70.8%754568.237082%68.237082%68.2%4494665.517241%65.517241%65.5%574758.945549%58.945549%58.9%1,3644842.491414%42.491414%42.5%1,361496.077348%6.077348%6.1%6650
Count number of employed 35 to 44 year old men
# rank of place out of 50 by percentage employed 35 to 44 year old men

Employment Status by Metro Area in Congressional District 4

There are 14 metro areas that are fully or partially contained within Congressional District 4 (8 fully and 6 partially). This section compares all 14 of those to each other, Congressional District 4, and other entities that contain or substantially overlap with Congressional District 4.

Employed Working-Age Men by Metro Area#40

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of Congressional District 4, selected metro areas in Congressional District 4, and entities that contain Congressional District 4
0%20%40%60%80%Count#Bellefontaine Metro AreaBellefontaineCelina Metro AreaCelina AreaWapakoneta Metro AreaWapakonetaUrbana Metro AreaUrbana AreaFremont Metro AreaFremont AreaSandusky Metro AreaSandusky AreaSidney Metro AreaSidney AreaColumbus Metro AreaColumbus AreaMidwestTiffin Metro AreaTiffin AreaUnited States of AmericaUnited StatesEast North CentralNorwalk Metro AreaNorwalk AreaCleveland and Elyria Metro AreaClevelandOhioBucyrus Metro AreaBucyrus AreaCongressional District 4OH-4Lima Metro AreaLima AreaMarion Metro AreaMarion Area91.797302%91.797302%91.8%2,518191.447925%91.447925%91.4%2,160288.703704%88.703704%88.7%2,395388.168095%88.168095%88.2%2,161487.915155%87.915155%87.9%3,150586.927457%86.927457%86.9%3,511686.382114%86.382114%86.4%2,550784.850769%84.850769%84.9%114,826115k884.507990%84.507990%84.5%3,510,6363.51M83.896742%83.896742%83.9%2,730983.826751%83.826751%83.8%16,918,49516.9M83.320331%83.320331%83.3%2,401,9262.40M83.268265%83.268265%83.3%2,9861082.553323%82.553323%82.6%98,46398.5k1182.343836%82.343836%82.3%575,063575k81.154157%81.154157%81.2%2,0111280.041358%80.041358%80.0%35,22335.2k77.508039%77.508039%77.5%4,8211355.461140%55.461140%55.5%2,67614
Count number of employed 35 to 44 year old men
# rank of metro area out of 14 by percentage employed 35 to 44 year old men

Employment Status by County in Congressional District 4

There are 14 counties that are fully or partially contained within Congressional District 4 (9 fully and 5 partially). This section compares all 14 of those to each other, Congressional District 4, and other entities that contain or substantially overlap with Congressional District 4.

Employed Working-Age Men by County#45

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of Congressional District 4, selected counties in Congressional District 4, and entities that contain Congressional District 4
0%20%40%60%80%Count#Union CountyUnionLogan CountyLoganMercer CountyMercerAuglaize CountyAuglaizeChampaign CountyChampaignSandusky CountySanduskyErie CountyErieShelby CountyShelbyMidwestSeneca CountySenecaUnited States of AmericaUnited StatesEast North CentralHuron CountyHuronOhioCrawford CountyCrawfordLorain CountyLorainCongressional District 4OH-4Allen CountyAllenMarion CountyMarion93.710021%93.710021%93.7%3,516191.797302%91.797302%91.8%2,518291.447925%91.447925%91.4%2,160388.703704%88.703704%88.7%2,395488.168095%88.168095%88.2%2,161587.915155%87.915155%87.9%3,150686.927457%86.927457%86.9%3,511786.382114%86.382114%86.4%2,550884.507990%84.507990%84.5%3,510,6363.51M83.896742%83.896742%83.9%2,730983.826751%83.826751%83.8%16,918,49516.9M83.320331%83.320331%83.3%2,401,9262.40M83.268265%83.268265%83.3%2,9861082.343836%82.343836%82.3%575,063575k81.154157%81.154157%81.2%2,0111180.304070%80.304070%80.3%15,21215.2k1280.041358%80.041358%80.0%35,22335.2k77.508039%77.508039%77.5%4,8211355.461140%55.461140%55.5%2,67614
Count number of employed 35 to 44 year old men
# rank of county out of 14 by percentage employed 35 to 44 year old men

Employment Status by County Subdivision in Congressional District 4

There are 180 county subdivisions that are fully or partially contained within Congressional District 4 (172 fully and 8 partially). This section compares the 50 most populous of those to each other, Congressional District 4, and other entities that contain or substantially overlap with Congressional District 4. The least populous of the compared county subdivisions has a population of 3,454.

Employed Working-Age Men by County Subdivision#50

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of Congressional District 4, selected county subdivisions in Congressional District 4, and entities that contain Congressional District 4
0%50%100%Count#Marion TownshipMarionRichland TownshipRichlandGerman TownshipGermanAmherst TownshipAmherstCrestlineJerome TownshipJeromeMadison TownshipMadisonClinton TownshipClintonBellevueWashington TownshipWashingtonCarlisle TownshipCarlisleLake TownshipParis TownshipParisBellevueJackson TownshipJacksonDinsmore TownshipDinsmoreNorwalk TownshipNorwalkEaton TownshipEatonStokes TownshipStokesGreen Creek TownshipGrn CrkJefferson TownshipJeffersonBallville TownshipBallvillePleasant TownshipPleasantDuchouquet TownshipDuchouquetAmherstSheffieldTiffinGoshen TownshipGoshenUrbana TownshipUrbanaShawnee TownshipShawneeAmerican TownshipAmericanBerlin TownshipBerlinMidwestSt. Marys TownshipSt. MarysUnited States of AmericaUnited StatesEast North CentralMilan TownshipMilanNorwalkClydeOhioClaibourne TownshipClaibourneOberlinFremontClinton TownshipClintonCongressional District 4OH-4Galion City TownshipGalion CitySandusky TownshipSanduskyBath TownshipElyriaSheffield TownshipSheffieldFostoriaBucyrusLimaMarion TownshipMarionGrafton100.000000%100.000000%100.0%417199.545455%99.545455%99.5%438298.113208%98.113208%98.1%208397.491039%97.491039%97.5%272496.858639%96.858639%96.9%185596.046852%96.046852%96.0%656695.319149%95.319149%95.3%224795.135135%95.135135%95.1%176894.400000%94.400000%94.4%236993.835616%93.835616%93.8%1371093.707865%93.707865%93.7%4171193.666667%93.666667%93.7%5621293.468885%93.468885%93.5%1,5171393.229167%93.229167%93.2%1791492.682927%92.682927%92.7%1901592.222222%92.222222%92.2%2491691.949153%91.949153%91.9%2171791.099476%91.099476%91.1%3481890.960452%90.960452%91.0%1611990.256410%90.256410%90.3%1762090.000000%90.000000%90.0%8282189.768977%89.768977%89.8%2722289.423077%89.423077%89.4%2792388.852097%88.852097%88.9%8052487.955182%87.955182%88.0%6282587.628866%87.628866%87.6%1702687.111111%87.111111%87.1%7842786.071429%86.071429%86.1%2412885.590062%85.590062%85.6%6892985.234899%85.234899%85.2%6353085.155351%85.155351%85.2%7403184.782609%84.782609%84.8%1173284.507990%84.507990%84.5%3,510,6363.51M84.219554%84.219554%84.2%4913383.826751%83.826751%83.8%16,918,49516.9M83.320331%83.320331%83.3%2,401,9262.40M82.872928%82.872928%82.9%1503482.582938%82.582938%82.6%6973582.425308%82.425308%82.4%4693682.343836%82.343836%82.3%575,063575k82.173913%82.173913%82.2%1893782.051282%82.051282%82.1%2563881.539980%81.539980%81.5%8263980.474453%80.474453%80.5%8824080.041358%80.041358%80.0%35,22335.2k78.549849%78.549849%78.5%5204177.575758%77.575758%77.6%1284277.551020%77.551020%77.6%3804376.710647%76.710647%76.7%2,5004472.558140%72.558140%72.6%1564569.680851%69.680851%69.7%3934668.237082%68.237082%68.2%4494758.945549%58.945549%58.9%1,3644847.330961%47.330961%47.3%1,729496.077348%6.077348%6.1%6650
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 Congressional District in Ohio

There are 16 congressional districts in Ohio. This section compares Congressional District 4 to all of the congressional districts in Ohio and to those entities that contain or substantially overlap with Congressional District 4.

Employed Working-Age Men by Congressional District#55

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of Congressional District 4, selected other congressional districts in Ohio, and entities that contain Congressional District 4
0%20%40%60%80%Count#Congressional District 16OH-16Congressional District 5OH-5Congressional District 12OH-12Congressional District 14OH-14Congressional District 7OH-7Congressional District 8OH-8MidwestUnited States of AmericaUnited StatesEast North CentralCongressional District 2OH-2Congressional District 1OH-1OhioCongressional District 3OH-3Congressional District 10OH-10Congressional District 9OH-9Congressional District 4OH-4Congressional District 13OH-13Congressional District 15OH-15Congressional District 6OH-6Congressional District 11OH-1191.433693%91.433693%91.4%39,27939.3k187.410787%87.410787%87.4%37,35537.4k287.287379%87.287379%87.3%45,92845.9k386.726144%86.726144%86.7%35,19035.2k486.368881%86.368881%86.4%36,68036.7k585.169945%85.169945%85.2%36,63536.6k684.507990%84.507990%84.5%3,510,6363.51M83.826751%83.826751%83.8%16,918,49516.9M83.320331%83.320331%83.3%2,401,9262.40M82.526084%82.526084%82.5%36,70136.7k782.515913%82.515913%82.5%36,03836.0k882.343836%82.343836%82.3%575,063575k82.021342%82.021342%82.0%39,96940.0k980.894481%80.894481%80.9%32,46732.5k1080.591260%80.591260%80.6%34,48534.5k1180.041358%80.041358%80.0%35,22335.2k1278.467012%78.467012%78.5%32,42132.4k1377.374319%77.374319%77.4%38,46238.5k1476.617008%76.617008%76.6%32,96633.0k1569.911725%69.911725%69.9%25,26425.3k16
Count number of employed 35 to 44 year old men
# rank of congressional district out of 16 by percentage employed 35 to 44 year old men

Employment Status by Congressional District in the Midwest

There are 94 congressional districts in the Midwest. This section compares Congressional District 4 to all of the congressional districts in the Midwest and to those entities that contain or substantially overlap with Congressional District 4.

Employed Working-Age Men by Congressional District#60

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of Congressional District 4, selected other congressional districts in the Midwest, and entities that contain Congressional District 4
0%20%40%60%80%Count#Congressional District 3MN-3Congressional District 2MN-2Congressional District 6IL-6Congressional District 2MO-2Congressional District 3KS-3Congressional District 11MI-11Congressional District 16OH-16Congressional District 5WI-5Congressional District 5IL-5Congressional District 3NE-3Congressional District 6MN-6Congressional District 11IL-11Congressional District (at Large)ND-At LargeCongressional District 3IA-3Congressional District 14IL-14Congressional District 1NE-1Congressional District 10IL-10Congressional District 4IA-4Congressional District 2NE-2Congressional District 8IL-8Congressional District 2WI-2Congressional District 9IL-9Congressional District 7MN-7Congressional District 1IA-1Congressional District 8MI-8Congressional District 1MN-1Congressional District 5MN-5Congressional District 8WI-8Congressional District 5OH-5Congressional District 1KS-1Congressional District (at Large)SD-At LargeCongressional District 3IN-3Congressional District 2IA-2Congressional District 4MN-4Congressional District 1WI-1MidwestCongressional District 12MI-12United States of AmericaUnited StatesEast North CentralCongressional District 3MI-3OhioCongressional District 3OH-3Congressional District 1MO-1Congressional District 4OH-4Congressional District 7MI-7Congressional District 12IL-12Congressional District 2IL-2Congressional District 5MI-5Congressional District 14MI-14Congressional District 11OH-11Congressional District 13MI-1392.590256%92.590256%92.6%41,08641.1k192.123572%92.123572%92.1%42,10642.1k291.952346%91.952346%92.0%41,60241.6k391.683667%91.683667%91.7%40,44940.4k491.534891%91.534891%91.5%46,54046.5k591.500661%91.500661%91.5%42,21242.2k691.433693%91.433693%91.4%39,27939.3k791.252098%91.252098%91.3%40,77640.8k890.995848%90.995848%91.0%50,63150.6k990.786350%90.786350%90.8%30,59530.6k1090.667257%90.667257%90.7%42,97943.0k1190.309152%90.309152%90.3%47,29447.3k1290.261180%90.261180%90.3%39,50139.5k1390.069930%90.069930%90.1%47,65647.7k1490.054301%90.054301%90.1%44,61244.6k1589.872440%89.872440%89.9%33,74833.7k1689.772604%89.772604%89.8%41,49241.5k1789.759124%89.759124%89.8%37,04037.0k1889.744299%89.744299%89.7%38,92338.9k1989.398635%89.398635%89.4%47,02147.0k2089.080619%89.080619%89.1%41,86741.9k2188.665698%88.665698%88.7%42,11042.1k2288.631777%88.631777%88.6%32,05932.1k2388.377958%88.377958%88.4%39,24639.2k2487.997263%87.997263%88.0%37,29537.3k2587.977030%87.977030%88.0%34,16534.2k2687.711071%87.711071%87.7%41,71141.7k2787.710618%87.710618%87.7%39,35439.4k2887.410787%87.410787%87.4%37,35537.4k2987.403793%87.403793%87.4%34,75034.8k3087.314240%87.314240%87.3%43,59643.6k3186.923232%86.923232%86.9%38,82638.8k3486.883252%86.883252%86.9%40,00840.0k3586.468457%86.468457%86.5%36,03436.0k4085.161808%85.161808%85.2%38,18438.2k4784.507990%84.507990%84.5%3,510,6363.51M84.047918%84.047918%84.0%35,50135.5k5483.826751%83.826751%83.8%16,918,49516.9M83.320331%83.320331%83.3%2,401,9262.40M83.068559%83.068559%83.1%37,28237.3k6082.343836%82.343836%82.3%575,063575k82.021342%82.021342%82.0%39,96940.0k6780.067374%80.067374%80.1%34,93934.9k7480.041358%80.041358%80.0%35,22335.2k7578.699455%78.699455%78.7%34,81934.8k8075.358379%75.358379%75.4%32,43532.4k8774.763312%74.763312%74.8%29,85029.9k9074.739825%74.739825%74.7%29,01429.0k9171.752778%71.752778%71.8%28,80328.8k9269.911725%69.911725%69.9%25,26425.3k9367.860590%67.860590%67.9%26,71426.7k94
Count number of employed 35 to 44 year old men
# rank of congressional district out of 94 by percentage employed 35 to 44 year old men

Employment Status by Congressional District in the United States

There are 435 congressional districts in the United States. This section compares Congressional District 4 to all of the congressional districts in the United States and to those entities that contain or substantially overlap with Congressional District 4.

Employed Working-Age Men by Congressional District#65

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of Congressional District 4, selected other congressional districts in the United States, and entities that contain Congressional District 4
0%20%40%60%80%Count#Congressional District 8VA-8Congressional District 11VA-11Congressional District 10VA-10Congressional District 24TX-24Congressional District 3TX-3Congressional District 8MD-8Congressional District 3MN-3Congressional District 26TX-26Congressional District 11NJ-11Congressional District 18CA-18Congressional District 2MN-2Congressional District 6IL-6Congressional District 7NJ-7Congressional District 7TX-7Congressional District 2MO-2Congressional District 3KS-3Congressional District 6GA-6Congressional District 11MI-11Congressional District 17CA-17Congressional District 16OH-16Congressional District 2CO-2Congressional District 5WI-5Congressional District 22TX-22Congressional District 32TX-32Congressional District 3MD-3Congressional District 5IL-5Congressional District 15CA-15Congressional District 4UT-4Congressional District 6PA-6Congressional District 3NY-3Congressional District 6MN-6Congressional District 1HI-1Congressional District 23FL-23Congressional District (at Large)SD-At LargeCongressional District 8AZ-8Congressional District 38CA-38Congressional District 43CA-43Congressional District (at Large)MT-At LargeCongressional District 1ID-1MidwestCongressional District 2NV-2Congressional District (at Large)DE-At LargeUnited States of AmericaUnited StatesEast North CentralCongressional District 18FL-18OhioCongressional District 16IL-16Congressional District 19FL-19Congressional District 4OH-4Congressional District 1IN-1Congressional District 1WV-1Congressional District 15NY-15Congressional District 21CA-21Congressional District 3WV-3Congressional District 5LA-5Congressional District 2MS-2Congressional District 5KY-593.741353%93.741353%93.7%59,62759.6k193.720597%93.720597%93.7%54,98455.0k293.458737%93.458737%93.5%55,05055.1k393.298405%93.298405%93.3%51,99852.0k493.293997%93.293997%93.3%58,02758.0k592.761170%92.761170%92.8%46,67046.7k692.590256%92.590256%92.6%41,08641.1k792.525719%92.525719%92.5%57,65057.7k892.360228%92.360228%92.4%42,86942.9k992.254737%92.254737%92.3%47,03747.0k1092.123572%92.123572%92.1%42,10642.1k1191.952346%91.952346%92.0%41,60241.6k1291.823981%91.823981%91.8%42,61042.6k1391.689231%91.689231%91.7%50,79450.8k1491.683667%91.683667%91.7%40,44940.4k1591.534891%91.534891%91.5%46,54046.5k1691.515184%91.515184%91.5%51,20051.2k1791.500661%91.500661%91.5%42,21242.2k1891.466271%91.466271%91.5%57,39657.4k1991.433693%91.433693%91.4%39,27939.3k2091.404079%91.404079%91.4%46,38346.4k2191.252098%91.252098%91.3%40,77640.8k2291.153954%91.153954%91.2%55,36655.4k2391.122007%91.122007%91.1%47,38847.4k2491.052940%91.052940%91.1%43,44543.4k2590.995848%90.995848%91.0%50,63150.6k2690.940855%90.940855%90.9%50,23350.2k2790.906367%90.906367%90.9%51,57351.6k2890.887290%90.887290%90.9%40,17440.2k2990.862832%90.862832%90.9%36,96337.0k3090.667257%90.667257%90.7%42,97943.0k3289.267455%89.267455%89.3%42,60242.6k6388.176629%88.176629%88.2%41,55541.6k9487.314240%87.314240%87.3%43,59643.6k11787.064590%87.064590%87.1%40,14240.1k12586.291597%86.291597%86.3%40,40040.4k15685.238952%85.238952%85.2%41,21941.2k18785.222232%85.222232%85.2%50,52450.5k18884.571190%84.571190%84.6%44,60244.6k20484.507990%84.507990%84.5%3,510,6363.51M84.285247%84.285247%84.3%36,09636.1k21884.059725%84.059725%84.1%45,15145.2k22283.826751%83.826751%83.8%16,918,49516.9M83.320331%83.320331%83.3%2,401,9262.40M83.242699%83.242699%83.2%33,06433.1k24982.343836%82.343836%82.3%575,063575k82.310055%82.310055%82.3%35,11135.1k28080.713449%80.713449%80.7%30,99831.0k31180.041358%80.041358%80.0%35,22335.2k33379.529630%79.529630%79.5%35,98036.0k34277.769622%77.769622%77.8%29,66629.7k37374.925006%74.925006%74.9%30,47230.5k40466.973001%66.973001%67.0%34,03334.0k43166.786747%66.786747%66.8%25,39925.4k43264.916550%64.916550%64.9%30,14430.1k43364.603707%64.603707%64.6%26,55626.6k43460.761300%60.761300%60.8%28,11028.1k435
Count number of employed 35 to 44 year old men
# rank of congressional district out of 435 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
Counties:
Allen, Auglaize, Champaign, Crawford, Erie, Huron, Logan, Lorain, Marion, Mercer, Sandusky, Seneca, Shelby, Union
Metro Areas:
Bellefontaine Area, Bucyrus Area, Celina Area, Cleveland Area, Columbus Area, Fremont Area, Lima Area, Marion Area, Norwalk Area, Sandusky Area, Sidney Area, Tiffin Area, Urbana Area, Wapakoneta Area
Cities:
Amherst, Bellefontaine, Bellevue, Bucyrus, Celina, Clyde, Delphos, Dublin, Elyria, Fostoria, Fremont, Galion, Lima, Marion, Marysville, Norwalk, Oberlin, Sidney, St. Marys, Tiffin, Urbana, Wapakoneta
Townships:
Adams, Adams, Allen, Amanda, American, Amherst, Auburn, Auglaize, Ballville, Bath, Berlin, Big Island, Big Spring, Bloom, Bloomfield, Bokescreek, Bowling Green, Bucyrus, Camden, Carlisle, Chatfield, Claibourne, Claridon, Clay, Clinton, Clinton, Concord, Cranberry, Cynthian, Dallas, Darby, Dinsmore, Dover, Duchouquet, Eaton, Eden, Elyria, Florence, Franklin, Franklin, Galion City, German, Goshen, Goshen, Grafton, Grand, Grand Prairie, Green, Green Camp, Green Creek, Groton, Harrison, Harrison, Hartland, Henrietta, Holmes, Hopewell, Jackson, Jackson, Jackson, Jackson, Jackson, Jackson, Jackson, Jackson, Jefferson, Jefferson, Jefferson, Jerome, Johnson, Lake, Leesburg, Liberty, Liberty, Liberty, Liberty, Logan, Loramie, Loudon, Lykens, Lyme, Mad River, Madison, Marion, Marion, McArthur, McLean, Miami, Milan, Millcreek, Monroe, Monroe, Montgomery, Moulton, New Russia, Noble, Norwalk, Orange, Oxford, Paris, Perry, Perry, Perry, Pittsfield, Pleasant, Pleasant, Pleasant, Polk, Pusheta, Reed, Rice, Richland, Richland, Ridgefield, Riley, Rush, Rushcreek, Salem, Salem, Salem, Salt Rock, Sandusky, Sandusky, Scipio, Scott, Scott, Seneca, Shawnee, Sheffield, Spencer, St. Marys, Stokes, Sugar Creek, Taylor, Texas, Thompson, Tod, Townsend, Townsend, Tully, Turtle Creek, Union, Union, Union, Union, Urbana, Van Buren, Venice, Vernon, Wakeman, Washington, Washington, Washington, Washington, Washington, Wayne, Wayne, Whetstone, Woodville, York, York, Zane
Unincorporated Places:
Ballville, Bascom, Chippewa Park, Collins, East Liberty, Flat Rock, Fort Seneca, Fort Shawnee, Hessville, Kansas, Lewistown, McCutchenville, Melmore, New California, New Hampshire, Newport, Oceola, Old Fort, Raymond, Rosewood, St. Johns, Stony Prairie, Sulphur Springs, Vickery, Westminster, Whites Landing, Wightmans Grove
Villages:
Anna, Attica, Beaverdam, Belle Center, Berlin Heights, Bettsville, Bloomville, Bluffton, Botkins, Buckland, Burgoon, Cairo, Caledonia, Chatfield, Christiansburg, Crestline, Cridersville, De Graff, Elida, Elmore, Fort Loramie, Gibsonburg, Grafton, Green Camp, Green Springs, Harrod, Helena, Huntsville, Jackson Center, Kettlersville, Kipton, La Rue, Lafayette, Lakeview, Lindsey, Lockington, Magnetic Springs, Mechanicsburg, Milan, Milford Center, Minster, Monroeville, Montezuma, Morral, Mutual, New Bloomington, New Bremen, New Knoxville, New Riegel, New Washington, North Lewisburg, North Robinson, Plain City, Port Jefferson, Quincy, Republic, Richwood, Ridgeway, Rushsylvania, Russells Point, Russia, Sheffield, South Amherst, Spencerville, St. Paris, Tiro, Unionville Center, Uniopolis, Valley Hi, Wakeman, Waynesfield, West Liberty, West Mansfield, Woodstock, Woodville, Zanesfield
Unified School Districts:
Allen East, Amherst, Anna, Bath, Bellefontaine, Bellevue, Benjamin Logan, Bluffton, Botkins, Bradford, Buckeye Central, Buckeye Valley, Bucyrus, Carey, Celina, Clearview, Clyde-Green Springs, Coldwater, Colonel Crawford, Columbus Grove, Crestline, Delphos, Dublin, Edison Local (formerly Berlin-Milan), Elgin, Elida, Elyria, Fairbanks, Fairlawn, Firelands, Fort Loramie, Fostoria, Fremont, Galion, Gibsonburg, Graham, Hardin-Houston, Hopewell-Loudon, Huron, Indian Lake, Jackson Center, Jonathan Alder, Keystone, Lakota, Lima, Margaretta, Marion, Marion, Marysville, Mechanicsburg, Miami East, Midview, Minster, Mohawk, Monroeville, New Bremen, New Knoxville, New Riegel, North Union, Northeastern, Northmor, Northwestern, Norwalk, Oberlin, Old Fort, Pandora-Gilboa, Perkins, Perry, Pleasant, Plymouth-Shiloh, Ridgedale, Ridgemont, River Valley, Riverside, Russia, Seneca East, Shawnee, Sheffield-Sheffield Lake, Sidney, Spencerville, St. Henry Consolidated, St. Marys, Tiffin, Triad, Upper Sandusky, Upper Scioto Valley, Urbana, Vanlue, Vermilion, Versailles, Wapakoneta, Waynesfield-Goshen, Wellington, West Liberty-Salem, Western Reserve, Woodmore, Wynford
ZIP Codes:
43009, 43015, 43016, 43017, 43029, 43036, 43040, 43044, 43045, 43060, 43061, 43064, 43067, 43070, 43072, 43077, 43078, 43084, 43302, 43310, 43311, 43314, 43316, 43318, 43319, 43322, 43324, 43331, 43332, 43333, 43336, 43337, 43340, 43341, 43342, 43343, 43344, 43345, 43347, 43348, 43357, 43358, 43360, 43406, 43407, 43410, 43416, 43420, 43430, 43431, 43435, 43442, 43449, 43457, 43464, 43469, 44001, 44028, 44035, 44044, 44049, 44050, 44052, 44053, 44054, 44055, 44074, 44089, 44090, 44802, 44807, 44809, 44811, 44814, 44815, 44816, 44818, 44820, 44824, 44825, 44826, 44827, 44828, 44830, 44833, 44836, 44839, 44841, 44844, 44846, 44847, 44849, 44853, 44854, 44856, 44857, 44861, 44865, 44867, 44870, 44875, 44881, 44882, 44883, 44887, 44889, 45302, 45306, 45312, 45317, 45333, 45334, 45336, 45340, 45344, 45353, 45356, 45360, 45363, 45365, 45389, 45502, 45801, 45804, 45805, 45806, 45807, 45808, 45809, 45810, 45817, 45819, 45820, 45822, 45830, 45833, 45844, 45845, 45850, 45854, 45862, 45865, 45866, 45869, 45870, 45871, 45877, 45884, 45885, 45887, 45888, 45895, 45896
State House Districts:
OH-4, OH-55, OH-56, OH-57, OH-82, OH-83, OH-84, OH-85, OH-86, OH-87, OH-88, OH-89
State Senate Districts:
OH-1, OH-2, OH-12, OH-13, OH-26
Neighboring Congressional Districts:
OH-5, OH-7, OH-8, OH-9, OH-12, OH-15
Nearby Congressional Districts:
OH-10