Employment Status in the Berlin Township, Wayne County, Pennsylvania (Township)

Employment Status#1

Percentage of population aged 25 to 64 years old.
Scope: population of Wayne County and the Berlin Township
Berlin Township
Wayne County
0%10%20%30%40%50%CountArmed ForcesEmployed1UnemployedOther20.000000%0.000000%0.0%0.013762%052.900844%48.028625%52.900844%52.9%1,0036.962025%3.862474%6.962025%7.0%13240.137131%48.095140%40.137131%40.1%761
Count population with given employment status
1excluding armed forces 2not in the labor force

Employment Status By Sex#2

Percentage of male and female population aged 25 to 64 years old.
Scope: population of Wayne County and the Berlin Township
Berlin Township
Wayne County
60%40%20%0%20%40%60%FMArmed ForcesEmployed1UnemployedOther2-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.000000%0.0%00-45.705196%-45.705196%-45.705196%45.7%45.705196%14.315790%45.705196%14.315790%60.020986%60.0%431572-4.197272%-5.558826%-4.197272%-5.558826%-9.756098%9.8%4.197272%4.197272%4.197272%4.2%9240-35.781742%-8.756964%-35.781742%-8.756964%-44.538706%44.5%35.781742%35.781742%35.781742%35.8%420341
F females with given employment status
M males with given employment status
1excluding armed forces 2not in the labor force

Employment Status by Age#3

Employment status composition of the given age cohorts.
Scope: population of the Berlin Township
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%24.074074%24%0.000000%75.925926%76%130.000000%23.396226%23%0.000000%76.603774%77%620.000000%37.168142%37%3.539823%59.292035%59%420.000000%90.566038%91%9.433962%9%0.000000%480.000000%50.574713%51%0.000000%49.425287%49%880.000000%71.428571%71%14.021164%14%14.550265%15%2700.000000%78.099174%78%12.809917%13%9.090909%9%1890.000000%72.807018%73%1.754386%25.438596%25%830.000000%68.553459%69%8.176101%8%23.270440%23%1090.000000%75.438596%75%0.000000%24.561404%25%430.000000%55.769231%56%19.230769%19%25.000000%25%290.000000%32.926829%33%17.073171%17%50.000000%50%270%20%40%60%80%100%Count
Count number of people in age cohort

Employment by Sex and Age#4

Percentage of population employed by sex and age cohort.
Scope: population of the Berlin Township
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%27.273%27.3%21.875%21.9%24.390%24.4%22.951%23.0%8.333%8.33%69.811%69.8%77.273%77.3%100.000%100%38.655%38.7%76.364%76.4%59.659%59.7%81.683%81.7%74.342%74.3%84.444%84.4%78.723%78.7%68.657%68.7%60.674%60.7%78.571%78.6%55.556%55.6%93.333%93.3%0.000%0%72.500%72.5%25.000%25.0%46.667%46.7%
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 Wayne County and the Berlin Township
More Females More Males
Wayne County
Berlin Township
0%200%400%600%M:FFM70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2416-1916.666667%7.142857%16.666667%16.7%1.1671.1767110.000000%23.869347%110.000000%110.0%2.1002.102042640.000000%17.084282%640.000000%640.0%7.4007.40537-13.850416%82.352941%82.352941%82.4%1.8241.821731-9.523810%-9.523810%9.5%12.577160%0.9130.91464257.142857%10.652783%57.142857%57.1%1.5711.57105165-48.684211%-48.684211%48.7%24.423676%0.6730.671137624.324324%13.691275%24.324324%24.3%1.2431.2437461.851852%32.194481%1.851852%1.9%1.0191.02545586.666667%33.266533%86.666667%86.7%1.8671.871528-11.893204%7.692308%7.692308%7.7%1.0771.081314
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

Employment among the Married#6

Selected family employment structures as a percentage of all married couple households.
Scope: households in Wayne County and the Berlin Township
Berlin Township
Wayne 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 …227.807487%20.477682%27.807487%27.8%15610.695187%7.223962%10.695187%10.7%602.495544%1.869616%2.495544%2.5%140.534759%1.145262%0.534759%0.5%321.568627%23.551292%21.568627%21.6%12110.160428%10.963195%10.160428%10.2%572.673797%9.661316%2.673797%2.7%1524.064171%25.107674%24.064171%24.1%135
1children under 18 present in the house 2no children under 18 present in the house

Employment among the Married With Children#7

Selected employment arrangements as a percentage of married couples with children under 18 present in the house.
Scope: households in Wayne County and the Berlin Township
Berlin Township
Wayne County
0%20%40%60%CountBoth WorkStay at Home MomsStay at Home DadsNeither Work66.952790%66.666667%66.952790%67.0%15625.751073%23.518164%25.751073%25.8%606.008584%6.086679%6.008584%6.0%141.287554%3.728489%1.287554%1.3%3

Employment among the Married Without Children#8

Selected employment arrangements as a percentage of married couples without children under 18 present in the house.
Scope: households in Wayne County and the Berlin Township
Berlin Township
Wayne County
0%10%20%30%40%CountBoth WorkLadies Who LunchGents Who LunchNeither Work36.890244%33.992653%36.890244%36.9%12117.378049%15.823679%17.378049%17.4%574.573171%13.944617%4.573171%4.6%1541.158537%36.239051%41.158537%41.2%135

Employment by Educational Attainment#9

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Wayne County and the Berlin Township
Berlin Township
Wayne County
0%20%40%60%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma370.462633%72.005547%70.462633%70.5%19866.160521%67.351027%66.160521%66.2%30568.677494%53.660403%68.677494%68.7%29650.000000%35.357290%50.000000%50.0%30
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#10

Percentage of each ethno-racial group's population 16 to 64 years of age that is either unemployed or not in the labor force.
Scope: population of Wayne County and the Berlin Township
Female Male
Wayne County
Berlin Township
Shaded bar tips show excess over facing bar.
100%50%0%50%%AsianOtherHispanic1WhiteMixedBlack-0.000000%-100.000000%-49.137931%-1.787995%-100.000000%100.0%0.000000%49.137931%0.000000%0.0%55.882%55.9%-41.666667%-46.511628%-41.666667%41.7%41.666667%12.878788%46.511628%48.119245%54.545455%54.5%47.826%47.8%-0.000000%-45.945946%0.000000%0.0%0.000000%80.000000%45.945946%8.566689%80.000000%80.0%80.000%80.0%-20.255183%-24.942557%-34.833786%-4.420757%-45.197740%45.2%20.255183%34.833786%20.255183%20.3%33.483%33.5%-0.000000%-63.636364%-43.884892%-63.636364%63.6%0.000000%43.884892%45.126097%0.000000%0.0%63.636%63.6%-0.000000%-48.863636%0.000000%0.0%0.000000%0.000000%48.863636%47.803030%0.000000%0.0%0.000%0%
% percentage of both sexes combined
1white Hispanic

Unemployment by Race#11

Percentage unemployed of each ethno-racial group's population 16 to 64 years of age.
Scope: population of Wayne County and the Berlin Township
Female Male
Wayne County
Berlin Township
Shaded bar tips show excess over facing bar.
40%20%0%20%40%60%80%%Hispanic1OtherWhiteBlackAsianMixed-0.000000%-9.459459%0.000000%0.0%0.000000%80.000000%9.459459%3.175920%80.000000%80.0%80.000%80.0%-0.000000%-41.666667%-1.342282%-10.285625%-41.666667%41.7%0.000000%1.342282%0.000000%0.0%21.739%21.7%-4.465710%-7.822426%-5.000715%-12.288136%12.3%4.465710%5.000715%0.095650%4.465710%4.5%8.614%8.61%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.476190%0.000000%0.0%0.000%0%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.000000%0.0%0.000%0%-0.000000%-2.158273%0.000000%0.0%0.000000%0.000000%2.158273%0.772130%0.000000%0.0%0.000%0%
% percentage of both sexes combined
1white Hispanic

Armed Forces by Race#12

Percentage of each ethno-racial group's population 16 to 64 years of age in the armed forces.
Scope: population of Wayne County and the Berlin Township
Female Male
Wayne County
Berlin Township
Shaded bar tips show excess over facing bar.
0.00%0.01%0.02%0.03%%WhiteHispanic1BlackAsianMixedOther-0.000000%-0.000000%0.000000%0.000%0.000000%0.000000%0.000000%0.038805%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#13

Percentage employed of each ethno-racial group's population 16 to 64 years of age.
Scope: population of Wayne County and the Berlin Township
Female Male
Wayne County
Berlin Township
Shaded bar tips show excess over facing bar.
100%50%0%50%100%%WhiteOtherBlackAsianMixedHispanic1-54.802260%-60.745457%-54.802260%54.8%54.802260%24.942557%60.745457%4.420757%79.744817%79.7%66.517%66.5%-45.454545%-12.878788%-5.369128%-48.119245%-58.333333%58.3%45.454545%5.369128%45.454545%45.5%52.174%52.2%-0.000000%-100.000000%-3.333333%-47.803030%-100.000000%100.0%0.000000%3.333333%0.000000%0.0%100.000%100%-0.000000%-49.074074%0.000000%0.0%0.000000%100.000000%49.074074%1.787995%100.000000%100.0%44.118%44.1%-0.000000%-36.363636%-10.989011%-45.126097%-36.363636%36.4%0.000000%10.989011%0.000000%0.0%36.364%36.4%-0.000000%-45.487365%-8.566689%0.000000%0.0%0.000000%20.000000%45.487365%20.000000%20.0%20.000%20.0%
% percentage of both sexes combined
1white Hispanic

Employment Status by County Subdivision in Pennsylvania

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

Employed Working-Age Men by County Subdivision#18

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of the Berlin Township, selected other county subdivisions in Pennsylvania, and entities that contain the Berlin Township
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 TownshipManheimRoss TownshipTredyffrin TownshipTredyffrinRidley TownshipRidleyLower Merion TownshipLower MerionNorthampton TownshipNorthamptonYork TownshipLower Paxton TownshipLower PaxtonUpper Merion TownshipUpper MerionFalls TownshipFallsPlumMiddletown TownshipMiddletownSpring TownshipSpgMillcreek TownshipMillcreekShaler TownshipShalerWarminster TownshipWarminsterAbington TownshipAbingtonBensalem TownshipBensalemCheltenham TownshipCheltenhamNortheastBerlin TownshipBerlinMiddle AtlanticPenn Hills TownshipPenn HlsBristol TownshipBristolUnited States of AmericaUnited StatesBethlehem960600Tract 960600AltoonaPennsylvaniaNorristownWilliamsportUpper Darby TownshipUpper DarbyWayne Highlands School DistrictWayne HighlandsPittsburghErieScrantonWilkes-BarreReadingState CollegeHempfield TownshipHempfieldPhiladelphiaAllentownLancasterYorkHarrisburgWayne CountyWayneChester98.574939%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%2,2791292.697291%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%1,3112786.113671%86.113671%86.1%2,8032885.786925%85.786925%85.8%3,5432985.516860%85.516860%85.5%1,5473084.488623%84.488623%84.5%2,903,3022.90M84.444444%84.444444%84.4%7684.184968%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%2,3303383.490566%83.490566%83.5%17783.279628%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%3,9683778.475798%78.475798%78.5%76278.315046%78.315046%78.3%12,63312.6k3876.378254%76.378254%76.4%3,9903974.698505%74.698505%74.7%3,0974074.489796%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%1,6424957.817024%57.817024%57.8%1,99745.655527%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 the Berlin Township to the 50 most populous county subdivisions in the Northeast and to those entities that contain or substantially overlap with the Berlin Township. The least populous of the compared county subdivisions has a population of 91,133.

Employed Working-Age Men by County Subdivision#23

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of the Berlin Township, selected other county subdivisions in the Northeast, and entities that contain the Berlin Township
0%20%40%60%80%Count#Edison TownshipEdisonTown 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 BabylonBabylonQueensCambridgeTown of GreeceGreeceTown of BrookhavenBrookhavenJersey CityManhattanStaten IslandNortheastManchesterBerlin TownshipBerlinElizabethMiddle AtlanticBrooklynLynnUnited States of AmericaUnited StatesYonkers960600Tract 960600PennsylvaniaAlbanyBostonToms River TownshipToms RivTown of BridgeportBridgeportLakewood TownshipLakewoodBrocktonWorcesterWayne Highlands School DistrictWayne HighlandsPittsburghBronxProvidenceWoodbridge TownshipWoodbridgeTown of WaterburyWaterburyEriePatersonLowellTown of New HavenNew HvnPhiladelphiaNew BedfordBuffaloAllentownNewarkRochesterSpringfieldSyracuseTown of HartfordHartfordWayne CountyWayne93.558245%93.558245%93.6%7,654192.558777%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%5,8021587.001934%87.001934%87.0%4,4981686.949234%86.949234%86.9%26,97627.0k1786.128900%86.128900%86.1%18,96319.0k1885.725962%85.725962%85.7%102,788103k1985.002691%85.002691%85.0%25,27325.3k2084.488623%84.488623%84.5%2,903,3022.90M84.471545%84.471545%84.5%6,2342184.444444%84.444444%84.4%7684.375332%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%10,31710.3k2583.490566%83.490566%83.5%17782.735021%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%8,5583278.475798%78.475798%78.5%76278.315046%78.315046%78.3%12,63312.6k3377.746048%77.746048%77.7%65,61365.6k3477.701420%77.701420%77.7%8,5933577.456359%77.456359%77.5%6,2123677.275975%77.275975%77.3%5,4073776.378254%76.378254%76.4%3,9903875.658599%75.658599%75.7%7,0653974.349442%74.349442%74.3%4,8004073.759791%73.759791%73.8%5,0854173.120938%73.120938%73.1%66,83466.8k4272.100211%72.100211%72.1%4,4324371.709023%71.709023%71.7%10,04510.0k4470.207570%70.207570%70.2%5,1754569.530571%69.530571%69.5%14,39714.4k4667.550581%67.550581%67.6%7,8464767.435089%67.435089%67.4%5,5584866.836594%66.836594%66.8%4,8514964.363263%64.363263%64.4%4,3875057.817024%57.817024%57.8%1,997
Count number of employed 35 to 44 year old men
# rank of county subdivision out of 50 by percentage employed 35 to 44 year old men

Employment Status by County Subdivision in the United States

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

Employed Working-Age Men by County Subdivision#28

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of the Berlin Township, selected other county subdivisions in the United States, and entities that contain the Berlin Township
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 AngelesPhoenixWashingtonTampaNortheastBerlin TownshipBerlinMiddle AtlanticBrooklynOrlandoUnited States of AmericaUnited StatesChicago960600Tract 960600El PasoLas VegasColumbusOntarioOceanside-EscondidoOceanside-Escond…PennsylvaniaAlbuquerqueBostonMiamiTucsonAtlantaSan Antonio CentralSan Antonio CntrlSacramentoSan BernardinoWayne Highlands School DistrictWayne HighlandsMilwaukeeBronxFresnoBaltimorePhiladelphiaDetroitWayne CountyWayne93.125861%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%36,87136.9k2884.488623%84.488623%84.5%2,903,3022.90M84.444444%84.444444%84.4%7684.184968%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%160,537161k3183.490566%83.490566%83.5%17783.435482%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%41,61441.6k4478.475798%78.475798%78.5%76278.119364%78.119364%78.1%27,72327.7k4577.746048%77.746048%77.7%65,61365.6k4675.839532%75.839532%75.8%31,09831.1k4774.017917%74.017917%74.0%26,60526.6k4873.120938%73.120938%73.1%66,83466.8k4958.323492%58.323492%58.3%22,22322.2k5057.817024%57.817024%57.8%1,997
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.

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Pennsylvania
County:
Wayne
ZIP Codes:
18405, 18428, 18431
Unified School District:
Wayne Highlands
Congressional District:
PA-10
State Senate District:
PA-20
State House District:
PA-139
Neighboring Boroughs:
Honesdale
Neighboring Towns:
Tusten
Neighboring Townships:
Damascus, Dyberry, Lackawaxen, Oregon, Palmyra, Texas
Neighboring Unincorporated Places:
Narrowsburg, White Mills
Nearby Towns:
Cochecton
Nearby Townships:
Canaan, Cherry Ridge, Lebanon, Palmyra, Paupack