Employment Status in the Whiteley Township, Greene County, Pennsylvania (Township)

Employment Status#1

Percentage of population aged 25 to 64 years old.
Scope: population of Greene County and the Whiteley Township
Whiteley Township
Greene County
0%10%20%30%40%50%CountArmed ForcesEmployed1UnemployedOther20.000000%0.000000%0.0%0.038161%058.536585%46.734084%58.536585%58.5%3842.591463%3.513960%2.591463%2.6%1738.871951%49.713795%38.871951%38.9%255

Employment Status By Sex#2

Percentage of male and female population aged 25 to 64 years old.
Scope: population of Greene County and the Whiteley Township
Whiteley Township
Greene County
50%0%50%FMArmed ForcesEmployed1UnemployedOther2-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.000000%0.0%00-52.046784%-52.046784%-52.046784%52.0%52.046784%13.558312%52.046784%13.558312%65.605096%65.6%178206-0.877193%-0.877193%-0.877193%0.9%0.877193%3.581406%0.877193%3.581406%4.458599%4.5%314-29.936306%-17.139718%-29.936306%-17.139718%-47.076023%47.1%29.936306%29.936306%29.936306%29.9%16194

Employment Status by Age#3

Employment status composition of the given age cohorts.
Scope: population of the Whiteley Township
Armed Forces
Employed
Unemployed
Not in Labor Force
75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-190.000000%4.444444%0.000000%95.555556%96%20.000000%0.000000%0.000000%100.000000%100%00.000000%27.272727%27%0.000000%72.727273%73%90.000000%60.714286%61%0.000000%39.285714%39%170.000000%61.363636%61%0.000000%38.636364%39%270.000000%64.044944%64%3.370787%32.584270%33%570.000000%78.632479%79%2.564103%18.803419%19%920.000000%67.857143%68%0.000000%32.142857%32%760.000000%58.730159%59%0.000000%41.269841%41%370.000000%90.000000%90%0.000000%10.000000%10%270.000000%81.481481%81%18.518519%19%0.000000%220.000000%55.555556%56%16.666667%17%27.777778%28%100.000000%22.857143%23%8.571429%9%68.571429%69%80%20%40%60%80%100%Count

Employment by Sex and Age#4

Percentage of population employed by sex and age cohort.
Scope: population of the Whiteley 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%9.091%9.09%0.000%0%0.000%0%33.333%33.3%20.000%20.0%64.286%64.3%57.143%57.1%25.000%25.0%91.667%91.7%65.000%65.0%63.265%63.3%70.313%70.3%88.679%88.7%50.000%50.0%83.333%83.3%71.795%71.8%37.500%37.5%76.923%76.9%100.000%100%100.000%100%70.588%70.6%42.857%42.9%100.000%100%24.138%24.1%16.667%16.7%

Employment Sex Ratio by Age#5

Percentage more males or females employed by age cohort.
Scope: population of Greene County and the Whiteley Township
More Females More Males
Greene County
Whiteley Township
600%400%200%0%200%M:FFM65-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-19-100.000000%-48.275862%-100.000000%100.0%0.5000.5063-12.500000%-12.500000%12.5%6.557377%0.8890.8998340.000000%37.560976%340.000000%340.0%4.4004.4052219.230769%19.904077%19.230769%19.2%1.1921.1926314.444444%11.944091%4.444444%4.4%1.0441.04454792.307692%20.811420%92.307692%92.3%1.9231.922650-211.111111%-211.111111%211.1%37.833333%0.3210.3228970.000000%38.374291%70.000000%70.0%1.7001.70101720.000000%15.702479%20.000000%20.0%1.2001.201012-50.000000%-40.654206%-50.000000%50.0%0.6670.6764-600.000000%-66.822430%-600.000000%600.0%0.1430.1471

Employment among the Married#6

Selected family employment structures as a percentage of all married couple households.
Scope: households in Greene County and the Whiteley Township
Whiteley Township
Greene 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 …215.837104%19.144400%15.837104%15.8%3516.289593%9.081865%16.289593%16.3%369.954751%1.435475%9.954751%10.0%220.000000%0.000000%0.0%0.653781%028.054299%23.010233%28.054299%28.1%626.334842%13.501990%6.334842%6.3%144.072398%7.916430%4.072398%4.1%919.457014%25.255827%19.457014%19.5%43

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 Greene County and the Whiteley Township
Whiteley Township
Greene County
0%20%40%60%CountBoth WorkStay at Home MomsStay at Home DadsNeither Work37.634409%63.150492%37.634409%37.6%3538.709677%29.957806%38.709677%38.7%3623.655914%4.735115%23.655914%23.7%220.000000%0.000000%0.0%2.156587%0

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 Greene County and the Whiteley Township
Whiteley Township
Greene County
0%10%20%30%40%CountBoth WorkLadies Who LunchGents Who LunchNeither Work48.437500%33.020600%48.437500%48.4%6210.937500%19.375892%10.937500%10.9%147.031250%11.360392%7.031250%7.0%933.593750%36.243116%33.593750%33.6%43

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 Greene County and the Whiteley Township
Whiteley Township
Greene County
0%20%40%60%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma378.625954%79.102874%78.625954%78.6%10360.000000%66.708968%60.000000%60.0%7268.095238%51.087293%68.095238%68.1%14368.181818%33.717181%68.181818%68.2%15

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 Greene County and the Whiteley Township
Female Male
Greene County
Whiteley Township
Shaded bar tips show excess over facing bar.
50%0%50%100%%Hispanic1WhiteBlackAsianMixedOther-0.000000%-47.727273%0.000000%0.0%0.000000%100.000000%47.727273%30.148833%100.000000%100.0%100.000%100%-24.436090%-17.258825%-35.758909%-8.219129%-41.694915%41.7%24.436090%35.758909%24.436090%24.4%33.512%33.5%-0.000000%-69.444444%0.000000%0.0%0.000000%0.000000%69.444444%27.730326%0.000000%0.0%0.000%0%-0.000000%-32.258065%0.000000%0.0%0.000000%0.000000%32.258065%9.602401%0.000000%0.0%0.000%0%-0.000000%-54.285714%0.000000%0.0%0.000000%0.000000%54.285714%31.017800%0.000000%0.0%0.000%0%-0.000000%-6.250000%0.000000%0.0%0.000000%0.000000%6.250000%75.992991%0.000000%0.0%0.000%0%

Unemployment by Race#11

Percentage unemployed of each ethno-racial group's population 16 to 64 years of age.
Scope: population of Greene County and the Whiteley Township
Female Male
Greene County
Whiteley Township
Shaded bar tips show excess over facing bar.
40%30%20%10%0%%WhiteHispanic1BlackAsianMixedOther-1.016949%-4.640453%-1.016949%1.0%1.016949%4.246209%4.640453%0.049384%5.263158%5.3%3.030%3.03%-0.000000%-0.000000%-2.272727%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.0%0.000%0%-0.000000%-0.000000%-44.444444%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.0%0.000%0%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.000000%0.0%0.000%0%-0.000000%-0.000000%-7.619048%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.0%0.000%0%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.000000%0.0%0.000%0%

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 Greene County and the Whiteley Township
Female Male
Greene County
Whiteley Township
Shaded bar tips show excess over facing bar.
0.00%0.02%0.04%0.06%0.08%%WhiteHispanic1BlackAsianMixedOther-0.000000%-0.017712%0.000000%0.000%0.000000%0.000000%0.017712%0.070278%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%

Employment by Race#13

Percentage employed of each ethno-racial group's population 16 to 64 years of age.
Scope: population of Greene County and the Whiteley Township
Female Male
Greene County
Whiteley Township
Shaded bar tips show excess over facing bar.
50%0%50%%WhiteHispanic1BlackAsianMixedOther-58.305085%-56.021962%-58.305085%58.3%58.305085%17.258825%56.021962%8.219129%75.563910%75.6%66.488%66.5%-0.000000%-22.123894%-30.148833%0.000000%0.0%0.000000%0.000000%22.123894%0.000000%0.0%0.000%0%-0.000000%-2.825230%-27.730326%0.000000%0.0%0.000000%0.000000%2.825230%0.000000%0.0%0.000%0%-0.000000%-58.139535%-9.602401%0.000000%0.0%0.000000%0.000000%58.139535%0.000000%0.0%0.000%0%-0.000000%-14.696486%-31.017800%0.000000%0.0%0.000000%0.000000%14.696486%0.000000%0.0%0.000%0%-0.000000%-17.757009%-75.992991%0.000000%0.0%0.000000%0.000000%17.757009%0.000000%0.0%0.000%0%

Employment Status by County Subdivision in Pennsylvania

There are 2,574 county subdivisions in Pennsylvania. This section compares the Whiteley Township to the 50 most populous county subdivisions in Pennsylvania and to those entities that contain or substantially overlap with the Whiteley 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 Whiteley Township, selected other county subdivisions in Pennsylvania, and entities that contain the Whiteley Township
0%20%40%60%80%Count#Hampden TownshipHampdenMcCandless TownshipMcCandlessLower Makefield TownshipLower MakefieldMount Lebanon TownshipMt LebanonNorth Huntingdon TownshipN HuntingdonCranberry TownshipCranberryRadnor TownshipRadnorMonroeville970502Tract 970502Lower 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 TownshipCheltenhamNortheastMiddle AtlanticPenn Hills TownshipPenn HlsBristol TownshipBristolUnited States of AmericaUnited StatesBethlehemWhiteley TownshipWhiteleyAltoonaPennsylvaniaNorristownWilliamsportUpper Darby TownshipUpper DarbyPittsburghErieScrantonWilkes-BarreReadingState CollegeHempfield TownshipHempfieldPhiladelphiaAllentownLancasterYorkGreene CountyGreeneHarrisburgChesterCentral Greene School DistrictCntrl Grn970502-4B.G. 970502-498.574939%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%1,631894.117647%94.117647%94.1%19294.021999%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%2,903,3022.90M84.184968%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%2,3303383.333333%83.333333%83.3%5083.279628%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%12,63312.6k3876.378254%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%1,6974860.862983%60.862983%60.9%1,60860.590406%60.590406%60.6%1,6424945.655527%45.655527%45.7%8885040.776038%40.776038%40.8%5990.000000%0.000000%0.0%0

Employment Status by County Subdivision in the Northeast

There are 5,785 county subdivisions in the Northeast. This section compares the Whiteley Township to the 50 most populous county subdivisions in the Northeast and to those entities that contain or substantially overlap with the Whiteley 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 Whiteley Township, selected other county subdivisions in the Northeast, and entities that contain the Whiteley Township
0%20%40%60%80%Count#970502Tract 970502Edison 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 IslandNortheastManchesterElizabethMiddle AtlanticBrooklynLynnUnited States of AmericaUnited StatesYonkersWhiteley TownshipWhiteleyPennsylvaniaAlbanyBostonToms River TownshipToms RivTown of BridgeportBridgeportLakewood TownshipLakewoodBrocktonWorcesterPittsburghBronxProvidenceWoodbridge TownshipWoodbridgeTown of WaterburyWaterburyEriePatersonLowellTown of New HavenNew HvnPhiladelphiaNew BedfordBuffaloAllentownNewarkRochesterSpringfieldSyracuseTown of HartfordHartfordGreene CountyGreeneCentral Greene School DistrictCntrl Grn970502-4B.G. 970502-494.117647%94.117647%94.1%19293.558245%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%6,2342184.375332%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%10,31710.3k2583.333333%83.333333%83.3%5082.735021%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%5,4073776.378254%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%4,3875060.862983%60.862983%60.9%1,60840.776038%40.776038%40.8%5990.000000%0.000000%0.0%0

Employment Status by County Subdivision in the United States

There are 35,600 county subdivisions in the United States. This section compares the Whiteley Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Whiteley 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 Whiteley Township, selected other county subdivisions in the United States, and entities that contain the Whiteley Township
0%20%40%60%80%Count#970502Tract 970502PlanoSeattle 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 AngelesPhoenixWashingtonTampaNortheastMiddle AtlanticBrooklynOrlandoUnited States of AmericaUnited StatesChicagoEl PasoWhiteley TownshipWhiteleyLas VegasColumbusOntarioOceanside-EscondidoOceanside-Escond…PennsylvaniaAlbuquerqueBostonMiamiTucsonAtlantaSan Antonio CentralSan Antonio CntrlSacramentoSan BernardinoMilwaukeeBronxFresnoBaltimorePhiladelphiaGreene CountyGreeneDetroitCentral Greene School DistrictCntrl Grn970502-4B.G. 970502-494.117647%94.117647%94.1%19293.125861%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%2,903,3022.90M84.184968%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%25,45725.5k3283.333333%83.333333%83.3%5083.264614%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%65,61365.6k4675.839532%75.839532%75.8%31,09831.1k4774.017917%74.017917%74.0%26,60526.6k4873.120938%73.120938%73.1%66,83466.8k4960.862983%60.862983%60.9%1,60858.323492%58.323492%58.3%22,22322.2k5040.776038%40.776038%40.8%5990.000000%0.000000%0.0%0

Definitions

  • Armed Forces: persons on active duty in the Armed Forces
  • Employed: persons who did any work for pay during the survey week, those who did at least 15 hours of unpaid work in a family-owned enterprise operated by someone in their household, and those who were temporarily absent from their regular jobs
  • Unemployed: persons are classified as unemployed if they do not have a job, have actively looked for work in the prior 4 weeks, and are currently available for work
  • Not in Labor Force: not in the labor force are those who are not classified as employed or unemployed during the survey reference week
  • Working-Age Men: males aged 35 to 44 years old, the national peak employment age

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