Employment Status in McDonald, Washington County, Pennsylvania (Borough)

Employment Status#1

Percentage of population aged 25 to 64 years old.
Scope: population of Washington County and McDonald
McDonald
Washington County
0%10%20%30%40%50%CountArmed ForcesEmployed1UnemployedOther20.000000%0.000000%0.0%0.025551%056.415929%57.679599%56.415929%56.4%7654.203540%3.794359%4.203540%4.2%5739.380531%38.500491%39.380531%39.4%534
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 Washington County and McDonald
McDonald
Washington County
40%20%0%20%40%FMArmed ForcesEmployed1UnemployedOther2-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.000000%0.0%00-56.191950%-56.191950%-56.191950%56.2%56.191950%0.427768%56.191950%0.427768%56.619718%56.6%363402-1.702786%-1.702786%-1.702786%1.7%1.702786%4.776087%1.702786%4.776087%6.478873%6.5%1146-36.901408%-5.203855%-36.901408%-5.203855%-42.105263%42.1%36.901408%36.901408%36.901408%36.9%272262
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 McDonald
Armed Forces
Employed
Unemployed
Not in Labor Force
75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-190.000000%0.000000%0.000000%100.000000%100%00.000000%31.645570%32%0.000000%68.354430%68%250.000000%33.333333%33%0.000000%66.666667%67%780.000000%31.914894%32%0.000000%68.085106%68%150.000000%36.170213%36%12.765957%13%51.063830%51%170.000000%70.161290%70%0.000000%29.838710%30%870.000000%80.000000%80%1.428571%18.571429%19%1120.000000%80.597015%81%7.462687%7%11.940299%12%2160.000000%88.000000%88%0.000000%12.000000%12%880.000000%55.000000%55%30.000000%30%15.000000%15%330.000000%73.015873%73%7.936508%8%19.047619%19%460.000000%100.000000%100%0.000000%0.000000%300.000000%40.909091%41%13.636364%14%45.454545%45%180%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 McDonald
Female
Male
0%20%40%60%80%100%FM75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-190.000%0%0.000%0%32.432%32.4%30.952%31.0%9.709%9.71%51.908%51.9%41.667%41.7%0.000%0%50.000%50.0%31.429%31.4%77.778%77.8%59.615%59.6%75.000%75.0%86.667%86.7%86.567%86.6%74.627%74.6%100.000%100%75.510%75.5%62.500%62.5%50.000%50.0%44.444%44.4%77.778%77.8%100.000%100%100.000%100%100.000%100%29.730%29.7%
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 Washington County and McDonald
More Females More Males
Washington County
McDonald
1,000%500%0%500%M:FFM70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-198.333333%51.043643%8.333333%8.3%1.0831.081213580.000000%10.963278%580.000000%580.0%6.8006.801068-1,000.000000%-1,000.000000%> 1000%8.624230%0.000015083.333333%6.005510%83.333333%83.3%1.8331.83611-80.645161%-80.645161%80.6%6.256647%0.5540.555631-15.384615%-15.384615%15.4%8.774102%0.8670.876052-16.000000%-16.000000%16.0%15.802823%0.8620.86116100-37.837838%-37.837838%37.8%15.335306%0.7250.73513720.000000%14.254171%20.000000%20.0%1.2001.201518-0.036684%950.000000%950.000000%950.0%10.50010.5442-1.458967%72.727273%72.727273%72.7%1.7271.731119-18.201171%57.142857%57.142857%57.1%1.5711.57711
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 Washington County.
Scope: population of Washington County, McDonald, and selected other county subdivisions in Washington Counties
McDonald
Washington County
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0%20%40%60%80%100%%75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-190.000%0%30.952%31.0%51.908%51.9%0.000%0%31.429%31.4%59.615%59.6%86.667%86.7%74.627%74.6%75.510%75.5%50.000%50.0%77.778%77.8%100.000%100%29.730%29.7%
% employed percentage of male population in McDonald

Female Employment by Age#7

Percentage of female population employed by age cohort. Gray areas represent percentile bands from the county subdivisions in Washington County.
Scope: population of Washington County, McDonald, and selected other county subdivisions in Washington Counties
McDonald
Washington County
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0%20%40%60%80%100%%75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-190.000%0%32.432%32.4%9.709%9.71%41.667%41.7%50.000%50.0%77.778%77.8%75.000%75.0%86.567%86.6%100.000%100%62.500%62.5%44.444%44.4%100.000%100%100.000%100%
% employed percentage of female population in McDonald

Employment among the Married#8

Selected family employment structures as a percentage of all married couple households.
Scope: households in Washington County and McDonald
McDonald
Washington 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 …226.073620%23.907620%26.073620%26.1%858.282209%8.059237%8.282209%8.3%270.000000%0.000000%0.0%1.409966%00.000000%0.000000%0.0%0.540182%020.858896%26.102680%20.858896%20.9%6811.963190%12.128911%11.963190%12.0%3910.429448%7.113919%10.429448%10.4%3422.392638%20.737485%22.392638%22.4%73
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 Washington County and McDonald
McDonald
Washington County
0%20%40%60%CountBoth WorkStay at Home MomsStay at Home DadsNeither Work75.892857%70.488595%75.892857%75.9%8524.107143%23.761641%24.107143%24.1%270.000000%0.000000%0.0%4.157106%00.000000%0.000000%0.0%1.592658%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 Washington County and McDonald
McDonald
Washington County
0%10%20%30%CountBoth WorkLadies Who LunchGents Who LunchNeither Work31.775701%39.499844%31.775701%31.8%6818.224299%18.354058%18.224299%18.2%3915.887850%10.765128%15.887850%15.9%3434.112150%31.380971%34.112150%34.1%73

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 Washington County and McDonald
McDonald
Washington County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma385.064935%83.253355%85.064935%85.1%13181.451613%75.522677%81.451613%81.5%20266.229508%67.627123%66.229508%66.2%20241.772152%41.977848%41.772152%41.8%33
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 Washington County and McDonald
Female Male
Washington County
McDonald
Shaded bar tips show excess over facing bar.
20%0%20%40%60%80%%Hispanic1WhiteBlackAsianMixedOther-0.000000%-35.131195%-3.055618%0.000000%0.0%0.000000%92.857143%35.131195%92.857143%92.9%53.061%53.1%-22.891566%-26.163612%-6.562661%-22.891566%22.9%22.891566%8.989168%26.163612%31.880734%31.9%27.497%27.5%-0.000000%-35.831510%0.000000%0.0%0.000000%4.761905%35.831510%11.882498%4.761905%4.8%4.762%4.76%-0.000000%-15.097403%-24.124154%0.000000%0.0%0.000000%0.000000%15.097403%0.000000%0.0%0.000%0%-0.000000%-31.916739%0.000000%0.0%0.000000%0.000000%31.916739%5.530429%0.000000%0.0%0.000%0%-0.000000%-37.172775%0.000000%0.0%0.000000%0.000000%37.172775%10.638673%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 Washington County and McDonald
Female Male
Washington County
McDonald
Shaded bar tips show excess over facing bar.
10%5%0%5%10%15%20%%Hispanic1WhiteBlackAsianMixedOther-0.000000%-5.082418%0.000000%0.0%0.000000%14.285714%5.082418%4.830119%14.285714%14.3%8.163%8.16%-2.650602%-3.299476%-2.650602%2.7%2.650602%6.982425%3.299476%2.423205%9.633028%9.6%6.228%6.23%-0.000000%-7.713348%0.000000%0.0%0.000000%0.000000%7.713348%0.068753%0.000000%0.0%0.000%0%-0.000000%-1.623377%-4.514348%0.000000%0.0%0.000000%0.000000%1.623377%0.000000%0.0%0.000%0%-0.000000%-8.706678%-1.440764%0.000000%0.0%0.000000%0.000000%8.706678%0.000000%0.0%0.000%0%-0.000000%-1.570681%0.000000%0.0%0.000000%0.000000%1.570681%18.631340%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 Washington County and McDonald
Female Male
Washington County
McDonald
Shaded bar tips show excess over facing bar.
0.02%0.00%0.02%%WhiteHispanic1BlackAsianMixedOther-0.000000%-0.032469%-0.006348%0.000000%0.000%0.000000%0.000000%0.032469%0.000000%0.000%0.000%0%-0.000000%-0.000000%0.000000%0.000%0.000000%0.000000%0.000000%0.000000%0.000000%0.000%0.000%0%-0.000000%-0.000000%0.000000%0.000%0.000000%0.000000%0.000000%0.000000%0.000000%0.000%0.000%0%-0.000000%-0.000000%0.000000%0.000%0.000000%0.000000%0.000000%0.000000%0.000000%0.000%0.000%0%-0.000000%-0.000000%0.000000%0.000%0.000000%0.000000%0.000000%0.000000%0.000000%0.000%0.000%0%-0.000000%-0.000000%0.000000%0.000%0.000000%0.000000%0.000000%0.000000%0.000000%0.000%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 Washington County and McDonald
Female Male
Washington County
McDonald
Shaded bar tips show excess over facing bar.
100%50%0%50%100%%WhiteHispanic1AsianBlackMixedOther-68.119266%-8.989168%-67.273727%-77.108434%77.1%68.119266%67.273727%6.562661%68.119266%68.1%72.503%72.5%-7.142857%-92.857143%-61.813187%-100.000000%100.0%7.142857%61.813187%3.055618%7.142857%7.1%46.939%46.9%-0.000000%-60.778443%0.000000%0.0%0.000000%100.000000%60.778443%24.124154%100.000000%100.0%100.000%100%-0.000000%-52.285992%-11.882498%0.000000%0.0%0.000000%95.238095%52.285992%95.238095%95.2%95.238%95.2%-0.000000%-62.552832%-5.530429%0.000000%0.0%0.000000%0.000000%62.552832%0.000000%0.0%0.000%0%-0.000000%-52.188552%-10.638673%0.000000%0.0%0.000000%0.000000%52.188552%0.000000%0.0%0.000%0%
% percentage of both sexes combined
1white Hispanic

Employment Status by County Subdivision in the Pittsburgh Area

There are 460 county subdivisions in the Pittsburgh Area. This section compares McDonald to the 50 most populous county subdivisions in the Pittsburgh Area and to those entities that contain or substantially overlap with McDonald. The least populous of the compared county subdivisions has a population of 11,197.

Employed Working-Age Men by County Subdivision#20

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of McDonald, selected other county subdivisions in the Pittsburgh Area, and entities that contain McDonald
0%20%40%60%80%Count#Pine TownshipPeters TownshipPetersFranklin ParkAdams TownshipAdamsNorth Fayette TownshipN FayetteCecil TownshipCecilSouth Fayette TownshipS FayetteHampton TownshipHamptonMcCandless TownshipMcCandlessMoon TownshipScott TownshipScottButler TownshipButlerMount Lebanon TownshipMt LebanonLower BurrellNorth Huntingdon TownshipN HuntingdonCranberry TownshipCranberryRichland TownshipRichlandMonroevilleJefferson HillsJefferson HlsBethel ParkBaldwinZIP Code 15057ZIP 15057Ross TownshipRobinson TownshipRobinsonMurrysvilleWhitehallUpper St. Clair TownshipUpper St. ClairWest Deer TownshipW DeerPlumNorth Strabane TownshipN StrabanePenn TownshipDerry TownshipDerryUnity TownshipUnityNew KensingtonShaler TownshipShalerElizabeth TownshipElizabethFort Cherry School DistrictFort CherryWashington CountyWashingtonPittsburgh Metro AreaPittsburghWilkinsburgNortheastMiddle AtlanticGreensburgPenn Hills TownshipPenn HlsUnited States of AmericaUnited StatesSouth Park TownshipS PkRostraver TownshipRostraverPennsylvaniaWest MifflinMunhallPittsburghCenter TownshipCtrMcDonald715700Tract 715700McDonaldHopewell TownshipHopewellHempfield TownshipHempfieldButlerNorth Union TownshipN UnionWashingtonMcKeesport98.230088%98.230088%98.2%777198.118669%98.118669%98.1%1,356297.928994%97.928994%97.9%993397.228381%97.228381%97.2%877497.105788%97.105788%97.1%973596.987952%96.987952%97.0%966696.566164%96.566164%96.6%1,153796.065874%96.065874%96.1%1,050896.026895%96.026895%96.0%1,571995.957194%95.957194%96.0%1,6141095.877277%95.877277%95.9%1,0001195.818815%95.818815%95.8%8251295.005097%95.005097%95.0%1,8641394.835007%94.835007%94.8%6611494.681385%94.681385%94.7%1,8871594.551695%94.551695%94.6%2,2041694.485842%94.485842%94.5%6341794.277457%94.277457%94.3%1,6311894.167852%94.167852%94.2%6621993.705135%93.705135%93.7%1,6972093.389121%93.389121%93.4%1,1162193.216463%93.216463%93.2%1,22392.697291%92.697291%92.7%1,5742292.579075%92.579075%92.6%7612392.432432%92.432432%92.4%8552492.173913%92.173913%92.2%7422592.166667%92.166667%92.2%1,1062692.043011%92.043011%92.0%8562790.704739%90.704739%90.7%1,4932890.362954%90.362954%90.4%7222990.263876%90.263876%90.3%9923090.125392%90.125392%90.1%5753189.461538%89.461538%89.5%1,1633289.370629%89.370629%89.4%6393388.089888%88.089888%88.1%1,5683487.752525%87.752525%87.8%6953587.068966%87.068966%87.1%50586.442213%86.442213%86.4%10,50110.5k85.843601%85.843601%85.8%115,791116k85.379061%85.379061%85.4%4733684.488623%84.488623%84.5%2,903,3022.90M84.184968%84.184968%84.2%2,153,6512.15M84.156977%84.156977%84.2%5793784.010601%84.010601%84.0%1,9023883.826751%83.826751%83.8%16,918,49516.9M83.805668%83.805668%83.8%6213983.713851%83.713851%83.7%5504082.735021%82.735021%82.7%624,498624k82.342808%82.342808%82.3%9564178.425197%78.425197%78.4%4984278.315046%78.315046%78.3%12,63312.6k4376.602086%76.602086%76.6%5144476.470588%76.470588%76.5%13074.626866%74.626866%74.6%10074.626866%74.626866%74.6%10074.468085%74.468085%74.5%5254573.604500%73.604500%73.6%1,7014673.162939%73.162939%73.2%6874772.714487%72.714487%72.7%5174869.137466%69.137466%69.1%5134967.639903%67.639903%67.6%55650
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 Pennsylvania

There are 2,574 county subdivisions in Pennsylvania. This section compares McDonald to the 50 most populous county subdivisions in Pennsylvania and to those entities that contain or substantially overlap with McDonald. The least populous of the compared county subdivisions has a population of 27,333.

Employed Working-Age Men by County Subdivision#25

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of McDonald, selected other county subdivisions in Pennsylvania, and entities that contain McDonald
0%20%40%60%80%Count#Hampden TownshipHampdenMcCandless TownshipMcCandlessLower Makefield TownshipLower MakefieldMount Lebanon TownshipMt LebanonNorth Huntingdon TownshipN HuntingdonCranberry TownshipCranberryRadnor TownshipRadnorMonroevilleLower Macungie TownshipLower MacungieHaverford TownshipHaverfordBethel ParkManheim TownshipManheimZIP Code 15057ZIP 15057Ross TownshipTredyffrin TownshipTredyffrinRidley TownshipRidleyLower Merion TownshipLower MerionNorthampton TownshipNorthamptonYork TownshipLower Paxton TownshipLower PaxtonUpper Merion TownshipUpper MerionFalls TownshipFallsPlumMiddletown TownshipMiddletownSpring TownshipSpgMillcreek TownshipMillcreekShaler TownshipShalerWarminster TownshipWarminsterFort Cherry School DistrictFort CherryWashington CountyWashingtonAbington TownshipAbingtonPittsburgh Metro AreaPittsburghBensalem TownshipBensalemCheltenham TownshipCheltenhamNortheastMiddle AtlanticPenn Hills TownshipPenn HlsBristol TownshipBristolUnited States of AmericaUnited StatesBethlehemAltoonaPennsylvaniaNorristownWilliamsportUpper Darby TownshipUpper DarbyPittsburghMcDonaldErieScranton715700Tract 715700McDonaldWilkes-BarreReadingState CollegeHempfield TownshipHempfieldPhiladelphiaAllentownLancasterYorkHarrisburgChester98.574939%98.574939%98.6%2,006196.026895%96.026895%96.0%1,571295.778894%95.778894%95.8%1,906395.005097%95.005097%95.0%1,864494.681385%94.681385%94.7%1,887594.551695%94.551695%94.6%2,204694.376352%94.376352%94.4%1,309794.277457%94.277457%94.3%1,631894.021999%94.021999%94.0%1,966993.754175%93.754175%93.8%2,8071093.705135%93.705135%93.7%1,6971193.248773%93.248773%93.2%2,2791293.216463%93.216463%93.2%1,22392.697291%92.697291%92.7%1,5741392.423366%92.423366%92.4%1,5981492.303772%92.303772%92.3%1,8111591.925665%91.925665%91.9%2,8691691.921005%91.921005%91.9%2,0481791.232529%91.232529%91.2%1,4361891.221020%91.221020%91.2%2,9511991.007371%91.007371%91.0%1,8522090.830800%90.830800%90.8%1,7932190.704739%90.704739%90.7%1,4932289.445910%89.445910%89.4%2,3732388.297872%88.297872%88.3%1,4112488.225648%88.225648%88.2%2,6902588.089888%88.089888%88.1%1,5682687.109635%87.109635%87.1%1,3112787.068966%87.068966%87.1%50586.442213%86.442213%86.4%10,50110.5k86.113671%86.113671%86.1%2,8032885.843601%85.843601%85.8%115,791116k85.786925%85.786925%85.8%3,5432985.516860%85.516860%85.5%1,5473084.488623%84.488623%84.5%2,903,3022.90M84.184968%84.184968%84.2%2,153,6512.15M84.010601%84.010601%84.0%1,9023183.975301%83.975301%84.0%2,8563283.826751%83.826751%83.8%16,918,49516.9M83.572453%83.572453%83.6%2,3303383.279628%83.279628%83.3%2,3263482.735021%82.735021%82.7%624,498624k82.477216%82.477216%82.5%1,9913582.027650%82.027650%82.0%1,2463680.405268%80.405268%80.4%3,9683778.315046%78.315046%78.3%12,63312.6k3876.470588%76.470588%76.5%13076.378254%76.378254%76.4%3,9903974.698505%74.698505%74.7%3,0974074.626866%74.626866%74.6%10074.626866%74.626866%74.6%10074.489796%74.489796%74.5%1,6064174.275499%74.275499%74.3%3,9474273.647984%73.647984%73.6%7494373.604500%73.604500%73.6%1,7014473.120938%73.120938%73.1%66,83466.8k4570.207570%70.207570%70.2%5,1754669.540844%69.540844%69.5%2,6054764.969372%64.969372%65.0%1,6974860.590406%60.590406%60.6%1,6424945.655527%45.655527%45.7%88850
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 McDonald to the 50 most populous county subdivisions in the Northeast and to those entities that contain or substantially overlap with McDonald. 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 McDonald, selected other county subdivisions in the Northeast, and entities that contain McDonald
0%20%40%60%80%Count#Edison TownshipEdisonZIP Code 15057ZIP 15057Town of North HempsteadN HempsteadTown of Oyster BayOyster BayTown of AmherstAmherstTown of GreenburghGreenburghTown of SmithtownSmithtownTown of StamfordStamfordTown of RamapoRamapoTown of IslipQuincyTown of HuntingtonHuntingtonTown of HempsteadHempsteadTown of BabylonBabylonQueensCambridgeFort Cherry School DistrictFort CherryTown of GreeceGreeceTown of BrookhavenBrookhavenWashington CountyWashingtonJersey CityPittsburgh Metro AreaPittsburghManhattanStaten IslandNortheastManchesterElizabethMiddle AtlanticBrooklynLynnUnited States of AmericaUnited StatesYonkersPennsylvaniaAlbanyBostonToms River TownshipToms RivTown of BridgeportBridgeportLakewood TownshipLakewoodBrocktonWorcesterPittsburghBronxProvidenceWoodbridge TownshipWoodbridgeTown of WaterburyWaterburyMcDonaldEriePaterson715700Tract 715700McDonaldLowellTown of New HavenNew HvnPhiladelphiaNew BedfordBuffaloAllentownNewarkRochesterSpringfieldSyracuseTown of HartfordHartford93.558245%93.558245%93.6%7,654193.216463%93.216463%93.2%1,22392.558777%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%4,882591.534550%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%5,8021587.068966%87.068966%87.1%50587.001934%87.001934%87.0%4,4981686.949234%86.949234%86.9%26,97627.0k1786.442213%86.442213%86.4%10,50110.5k86.128900%86.128900%86.1%18,96319.0k1885.843601%85.843601%85.8%115,791116k85.725962%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%7,9492284.184968%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%10,31710.3k2582.735021%82.735021%82.7%624,498624k82.604413%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%5,4073776.470588%76.470588%76.5%13076.378254%76.378254%76.4%3,9903875.658599%75.658599%75.7%7,0653974.626866%74.626866%74.6%10074.626866%74.626866%74.6%10074.349442%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 McDonald to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with McDonald. 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 McDonald, selected other county subdivisions in the United States, and entities that contain McDonald
0%20%40%60%80%Count#ZIP Code 15057ZIP 15057PlanoSeattle EastNortheast TarrantNE TarrantNorthwest HarrisNW HarrisSan JoseAustinSalt Lake CitySalt Lk CityTownship 1:Charlotte1, CharlotteNortheast DallasNE DallasDenverTown of HempsteadHempsteadQueensHoustonSan FranciscoSeattleFort Cherry School DistrictFort CherryAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…TulsaWashington CountyWashingtonFort WorthSan DiegoPittsburgh Metro AreaPittsburghSan Fernando ValleySan Fernando VlyManhattanSouthwest DallasSW DallasEast San Gabriel ValleyE San Gabriel VlyLong Beach-LakewoodLong Bch-LakewoodLos AngelesPhoenixWashingtonTampaNortheastMiddle AtlanticBrooklynOrlandoUnited States of AmericaUnited StatesChicagoEl PasoLas VegasColumbusOntarioOceanside-EscondidoOceanside-Escond…PennsylvaniaAlbuquerqueBostonMiamiTucsonAtlantaSan Antonio CentralSan Antonio CntrlSacramentoSan BernardinoMilwaukeeBronxMcDonaldFresno715700Tract 715700McDonaldBaltimorePhiladelphiaDetroit93.216463%93.216463%93.2%1,22393.125861%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%70,13570.1k1587.068966%87.068966%87.1%50586.940737%86.940737%86.9%99,86199.9k1686.642310%86.642310%86.6%32,49032.5k1786.442213%86.442213%86.4%10,50110.5k86.152627%86.152627%86.2%47,84447.8k1886.039514%86.039514%86.0%138,398138k1985.843601%85.843601%85.8%115,791116k85.753475%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%2,903,3022.90M84.184968%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%37,01737.0k3582.905810%82.905810%82.9%36,84536.8k3682.735021%82.735021%82.7%624,498624k82.351470%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%65,61365.6k4676.470588%76.470588%76.5%13075.839532%75.839532%75.8%31,09831.1k4774.626866%74.626866%74.6%10074.626866%74.626866%74.6%10074.017917%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

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

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State:
Pennsylvania
County:
Washington
Metro Area:
Pittsburgh Area
Borough:
McDonald
ZIP Code:
15057
Unified School District:
Fort Cherry
Congressional District:
PA-18
State Senate District:
PA-46
State House District:
PA-46
Neighboring Townships:
Cecil, Robinson
Nearby Townships:
Collier, Mount Pleasant, North Fayette, Smith, South Fayette