Employment Status in the Swan Township, Noble County, Indiana (Township)

Employment Status#1

Percentage of population aged 25 to 64 years old.
Scope: population of Noble County and the Swan Township
Swan Township
Noble County
0%10%20%30%40%50%60%CountArmed ForcesEmployed1UnemployedOther20.000000%0.000000%0.0%0.230847%056.712062%60.060835%56.712062%56.7%1,1665.739300%4.505581%5.739300%5.7%11837.548638%35.202738%37.548638%37.5%772

Employment Status By Sex#2

Percentage of male and female population aged 25 to 64 years old.
Scope: population of Noble County and the Swan Township
Swan Township
Noble 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%00-50.000000%-50.000000%-50.000000%50.0%50.000000%14.226804%50.000000%14.226804%64.226804%64.2%543623-4.051565%-4.051565%-4.051565%4.1%4.051565%3.577301%4.051565%3.577301%7.628866%7.6%4474-28.144330%-17.804105%-28.144330%-17.804105%-45.948435%45.9%28.144330%28.144330%28.144330%28.1%499273

Employment Status by Age#3

Employment status composition of the given age cohorts.
Scope: population of the Swan Township
Armed Forces
Employed
Unemployed
Not in Labor Force
75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-190.000000%9.696970%10%0.000000%90.303030%90%160.000000%13.223140%13%0.000000%86.776860%87%160.000000%36.885246%37%0.000000%63.114754%63%450.000000%63.829787%64%0.000000%36.170213%36%1200.000000%100.000000%100%0.000000%0.000000%450.000000%44.927536%45%0.000000%55.072464%55%620.000000%80.626781%81%0.000000%19.373219%19%2830.000000%55.673759%56%14.893617%15%29.432624%29%1570.000000%65.558195%66%10.688836%11%23.752969%24%2760.000000%80.597015%81%0.000000%19.402985%19%540.000000%100.000000%100%0.000000%0.000000%180.000000%0.000000%100.000000%100%0.000000%00.000000%69.158879%69%0.000000%30.841121%31%740%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 Swan 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%22.857%22.9%0.000%0%20.253%20.3%33.333%33.3%42.000%42.0%54.955%55.0%76.623%76.6%100.000%100%100.000%100%27.451%27.5%55.172%55.2%75.269%75.3%86.667%86.7%27.660%27.7%69.681%69.7%55.512%55.5%80.838%80.8%62.857%62.9%100.000%100%100.000%100%0.000%0%0.000%0%0.000%0%100.000%100%0.000%0%

Employment Sex Ratio by Age#5

Percentage more males or females employed by age cohort.
Scope: population of Noble County and the Swan Township
More Females More Males
Noble County
Swan Township
1,000%500%0%M:FFM65-6962-6460-6155-5945-5435-4430-3425-2922-2416-19-14.285714%-14.285714%14.3%28.919861%0.8750.882421-3.389831%-15.503876%-3.389831%3.4%0.9670.976159-4.545455%-4.545455%4.5%45.074627%0.9570.962322242.857143%3.162791%242.857143%242.9%3.4293.4314482.142857%4.086353%2.142857%2.1%1.0211.02140143403.846154%19.729730%403.846154%403.8%5.0385.0426131-4.444444%-4.444444%4.4%36.344086%0.9570.9614113545.454545%35.404455%45.454545%45.5%1.4551.452232-1,000.000000%-1,000.000000%> 1000%37.974684%0.0000180-1,000.000000%-4.015296%-1,000.000000%> 1000%0.0000740

Male Employment by Age#6

Percentage of male population employed by age cohort. Gray areas represent percentile bands from the county subdivisions in Noble County.
Scope: population of Noble County, the Swan Township, and selected other county subdivisions in Noble Counties
Swan Township
Noble County
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0%20%40%60%80%100%%75+70-7465-6962-6460-6155-5945-5435-4430-3425-2922-2420-2116-1922.857%22.9%20.253%20.3%42.000%42.0%76.623%76.6%100.000%100%55.172%55.2%86.667%86.7%69.681%69.7%80.838%80.8%100.000%100%0.000%0%0.000%0%0.000%0%

Female Employment by Age#7

Percentage of female population employed by age cohort. Gray areas represent percentile bands from the county subdivisions in Noble County.
Scope: population of Noble County, the Swan Township, and selected other county subdivisions in Noble Counties
Swan Township
Noble 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%0.000%0%33.333%33.3%54.955%55.0%100.000%100%27.451%27.5%75.269%75.3%27.660%27.7%55.512%55.5%62.857%62.9%100.000%100%0.000%0%100.000%100%

Employment among the Married#8

Selected family employment structures as a percentage of all married couple households.
Scope: households in Noble County and the Swan Township
Swan Township
Noble 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 …215.036496%24.536896%15.036496%15.0%10316.058394%10.618484%16.058394%16.1%1100.000000%0.000000%0.0%1.113473%00.000000%0.000000%0.000000%0.0%025.109489%28.616257%25.109489%25.1%17217.372263%11.094240%17.372263%17.4%11910.948905%7.338799%10.948905%10.9%7515.474453%16.681850%15.474453%15.5%106

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 Noble County and the Swan Township
Swan Township
Noble County
0%20%40%60%CountBoth WorkStay at Home MomsStay at Home DadsNeither Work48.356808%67.652805%48.356808%48.4%10351.643192%29.277142%51.643192%51.6%1100.000000%0.000000%0.0%3.070053%00.000000%0.000000%0.000000%0.0%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 Noble County and the Swan Township
Swan Township
Noble County
0%10%20%30%40%CountBoth WorkLadies Who LunchGents Who LunchNeither Work36.440678%44.901525%36.440678%36.4%17225.211864%17.407878%25.211864%25.2%11915.889831%11.515248%15.889831%15.9%7522.457627%26.175349%22.457627%22.5%106

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 Noble County and the Swan Township
Swan Township
Noble County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma376.807980%82.932757%76.807980%76.8%30884.189723%79.029939%84.189723%84.2%42650.585480%73.990461%50.585480%50.6%21629.746835%56.897477%29.746835%29.7%47

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 Noble County and the Swan Township
Female Male
Noble County
Swan Township
Shaded bar tips show excess over facing bar.
100%50%0%50%%MixedWhiteHispanic1BlackAsianOther-0.000000%-100.000000%-47.894737%-0.200501%-100.000000%100.0%0.000000%47.894737%0.000000%0.0%33.333%33.3%-26.979866%-13.828958%-25.152917%-8.239066%-40.808824%40.8%26.979866%25.152917%26.979866%27.0%34.209%34.2%-0.000000%-25.000000%-14.785992%-26.178848%-25.000000%25.0%0.000000%14.785992%0.000000%0.0%25.000%25.0%-0.000000%-30.000000%0.000000%0.0%0.000000%0.000000%30.000000%30.714286%0.000000%0.0%0.000%0%-0.000000%-25.925926%0.000000%0.0%0.000000%0.000000%25.925926%34.833568%0.000000%0.0%0.000%0%-0.000000%-28.800000%-9.078788%0.000000%0.0%0.000000%0.000000%28.800000%0.000000%0.0%0.000%0%

Unemployment by Race#13

Percentage unemployed of each ethno-racial group's population 16 to 64 years of age.
Scope: population of Noble County and the Swan Township
Female Male
Noble County
Swan Township
Shaded bar tips show excess over facing bar.
100%80%60%40%20%0%%MixedWhiteHispanic1BlackAsianOther-0.000000%-100.000000%-0.526316%-9.949875%-100.000000%100.0%0.000000%0.526316%0.000000%0.0%33.333%33.3%-3.799020%-5.179009%-3.799020%3.8%3.799020%6.133866%5.179009%0.788469%9.932886%9.9%6.726%6.73%-0.000000%-0.856031%-7.647648%0.000000%0.0%0.000000%0.000000%0.856031%0.000000%0.0%0.000%0%-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%10.714286%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%0.000000%0.0%0.000000%0.000000%0.000000%15.200000%0.000000%0.0%0.000%0%

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 Noble County and the Swan Township
Female Male
Noble County
Swan Township
Shaded bar tips show excess over facing bar.
0.0%0.1%0.2%0.3%0.4%0.5%0.6%%WhiteHispanic1BlackAsianMixedOther-0.000000%-0.000000%0.000000%0.00%0.000000%0.000000%0.000000%0.634044%0.000000%0.00%0.000%0%-0.000000%-0.000000%0.000000%0.00%0.000000%0.000000%0.000000%0.000000%0.000000%0.00%0.000%0%-0.000000%-0.000000%0.000000%0.00%0.000000%0.000000%0.000000%0.000000%0.000000%0.00%0.000%0%-0.000000%-0.000000%0.000000%0.00%0.000000%0.000000%0.000000%0.000000%0.000000%0.00%0.000%0%-0.000000%-0.000000%0.000000%0.00%0.000000%0.000000%0.000000%0.000000%0.000000%0.00%0.000%0%-0.000000%-0.000000%0.000000%0.00%0.000000%0.000000%0.000000%0.000000%0.000000%0.00%0.000%0%

Employment by Race#15

Percentage employed of each ethno-racial group's population 16 to 64 years of age.
Scope: population of Noble County and the Swan Township
Female Male
Noble County
Swan Township
Shaded bar tips show excess over facing bar.
50%0%50%100%%WhiteMixedHispanic1BlackAsianOther-59.191176%-66.608017%-59.191176%59.2%59.191176%13.828958%66.608017%8.239066%73.020134%73.0%65.791%65.8%-0.000000%-51.904762%0.000000%0.0%0.000000%100.000000%51.904762%0.200501%100.000000%100.0%66.667%66.7%-0.000000%-75.000000%-59.035159%-75.000000%75.0%0.000000%59.035159%26.178848%0.000000%0.0%75.000%75.0%-0.000000%-39.285714%-30.714286%0.000000%0.0%0.000000%0.000000%39.285714%0.000000%0.0%0.000%0%-0.000000%-39.240506%-34.833568%0.000000%0.0%0.000000%0.000000%39.240506%0.000000%0.0%0.000%0%-0.000000%-62.121212%0.000000%0.0%0.000000%0.000000%62.121212%9.078788%0.000000%0.0%0.000%0%

Employment Status by County Subdivision in the Kendallville Area

There are 13 county subdivisions in the Kendallville Area. This section compares the Swan Township to all of the county subdivisions in the Kendallville Area and to those entities that contain or substantially overlap with the Swan Township.

Employed Working-Age Men by County Subdivision#20

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of the Swan Township, selected other county subdivisions in the Kendallville Area, and entities that contain the Swan Township
0%20%40%60%80%Count#Perry TownshipPerryOrange TownshipOrangeAllen TownshipAllenSparta TownshipSpartaWayne TownshipWayneEast Noble School CorporationEast NobleKendallville Metro AreaKendallvilleNoble CountyNobleYork TownshipWashington TownshipWashingtonElkhart TownshipElkhartMidwestUnited States of AmericaUnited StatesIndianaEast North CentralJefferson TownshipJefferson972500Tract 972500Albion TownshipAlbionNoble TownshipNobleGreen TownshipGrnSwan Township97.303922%97.303922%97.3%397195.111111%95.111111%95.1%214293.175853%93.175853%93.2%355392.765957%92.765957%92.8%218489.914773%89.914773%89.9%633588.698630%88.698630%88.7%1,29587.319317%87.319317%87.3%2,65887.319317%87.319317%87.3%2,65886.813187%86.813187%86.8%79685.555556%85.555556%85.6%77785.217391%85.217391%85.2%98884.507990%84.507990%84.5%3,510,6363.51M83.826751%83.826751%83.8%16,918,49516.9M83.393627%83.393627%83.4%342,787343k83.320331%83.320331%83.3%2,401,9262.40M81.818182%81.818182%81.8%54979.296066%79.296066%79.3%38375.000000%75.000000%75.0%1681073.821990%73.821990%73.8%1411173.809524%73.809524%73.8%931269.680851%69.680851%69.7%13113

Employment Status by County Subdivision in Indiana

There are 1,012 county subdivisions in Indiana. This section compares the Swan Township to the 50 most populous county subdivisions in Indiana and to those entities that contain or substantially overlap with the Swan Township. The least populous of the compared county subdivisions has a population of 32,697.

Employed Working-Age Men by County Subdivision#25

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of the Swan Township, selected other county subdivisions in Indiana, and entities that contain the Swan Township
0%20%40%60%80%Count#Washington TownshipWashingtonFall Creek TownshipFall CrkWhite River TownshipWhite RivDelaware TownshipDelawareCenter TownshipCtrClay TownshipPleasant TownshipPleasantWashington TownshipWashingtonAboite TownshipAboiteOhio TownshipSt. Joseph TownshipSt. JosephElkhart TownshipElkhartPerry TownshipPerryNoblesville TownshipNoblesvilleSt. John TownshipSt. JohnWashington TownshipWashingtonEast Noble School CorporationEast NobleFranklin TownshipFranklinPortage TownshipPortageColumbus TownshipColumbusDecatur TownshipDecaturKendallville Metro AreaKendallvilleNoble CountyNoblePenn TownshipCenter TownshipCtrLawrence TownshipLawrenceWashington TownshipWashingtonWabash TownshipWabashClay TownshipPerry TownshipPerryMidwestWea TownshipWayne TownshipWayneAdams TownshipAdamsUnited States of AmericaUnited StatesIndianaEast North CentralPike TownshipHobart TownshipHobartNew Albany TownshipNew AlbanyRoss TownshipFairfield TownshipFairfieldNorth TownshipN972500Tract 972500Jeffersonville TownshipJeffersonvilleWarren TownshipWarrenConcord TownshipConcordKnight TownshipKnightWayne TownshipWaynePortage TownshipPortageCenter TownshipCtrAnderson TownshipAndersonCenter TownshipCtrHarrison TownshipHarrisonBloomington TownshipBloomingtonSwan TownshipWayne TownshipWayneCenter TownshipCtrCalumet TownshipCalumet97.436719%97.436719%97.4%3,041195.201355%95.201355%95.2%5,059295.186392%95.186392%95.2%2,630394.471606%94.471606%94.5%2,512494.156347%94.156347%94.2%2,433593.747965%93.747965%93.7%5,758692.811580%92.811580%92.8%3,783792.800000%92.800000%92.8%3,132892.376238%92.376238%92.4%1,866991.850662%91.850662%91.9%2,2881091.633184%91.633184%91.6%3,8771191.326316%91.326316%91.3%2,1691290.945105%90.945105%90.9%6,4281390.351099%90.351099%90.4%3,5771490.153423%90.153423%90.2%3,9371588.717454%88.717454%88.7%7,3601688.698630%88.698630%88.7%1,29588.446627%88.446627%88.4%3,4221788.404869%88.404869%88.4%2,7601888.383316%88.383316%88.4%2,5641987.839147%87.839147%87.8%1,8132087.319317%87.319317%87.3%2,65887.319317%87.319317%87.3%2,65886.860795%86.860795%86.9%3,6692186.800303%86.800303%86.8%2,2952285.843794%85.843794%85.8%6,1552385.580305%85.580305%85.6%2,1902485.490372%85.490372%85.5%1,9092585.183066%85.183066%85.2%1,4892685.108331%85.108331%85.1%2,7892784.507990%84.507990%84.5%3,510,6363.51M84.373440%84.373440%84.4%1,6902884.155952%84.155952%84.2%8,1162983.943834%83.943834%83.9%1,3753083.826751%83.826751%83.8%16,918,49516.9M83.393627%83.393627%83.4%342,787343k83.320331%83.320331%83.3%2,401,9262.40M82.876860%82.876860%82.9%3,8433182.486528%82.486528%82.5%2,1433281.671924%81.671924%81.7%2,5893381.072844%81.072844%81.1%2,6603481.033487%81.033487%81.0%2,8073581.018469%81.018469%81.0%7,5893679.296066%79.296066%79.3%38378.809463%78.809463%78.8%3,0983777.267655%77.267655%77.3%4,8473876.638856%76.638856%76.6%2,5723976.519481%76.519481%76.5%2,9464075.472779%75.472779%75.5%5,2684174.424194%74.424194%74.4%3,7164273.792614%73.792614%73.8%2,0784372.313122%72.313122%72.3%2,2544471.837488%71.837488%71.8%2,3344571.753359%71.753359%71.8%2,0834670.580728%70.580728%70.6%1,1064769.680851%69.680851%69.7%13168.654767%68.654767%68.7%1,5774866.098861%66.098861%66.1%6,3254964.871194%64.871194%64.9%3,32450

Employment Status by County Subdivision in the Midwest

There are 19,478 county subdivisions in the Midwest. This section compares the Swan Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Swan Township. The least populous of the compared county subdivisions has a population of 112,821.

Employed Working-Age Men by County Subdivision#30

Percentage of male population aged 35 to 44 years old that are employed.
Scope: population of the Swan Township, selected other county subdivisions in the Midwest, and entities that contain the Swan Township
0%20%40%60%80%Count#Overland ParkOlatheWheeling TownshipWheelingYork TownshipSchaumburg TownshipSchaumburgMilton TownshipMiltonBloomingdale TownshipBloomingdalePalatine TownshipPalatineLisle TownshipLisleDowners Grove TownshipDowners GrvAurora TownshipAuroraAnn ArborMadisonWashington TownshipWashingtonSioux FallsEast Noble School CorporationEast NobleMaine TownshipMaineSterling HeightsSterling HtsLincolnFargoKendallville Metro AreaKendallvilleNoble CountyNobleWorth TownshipWorthCedar RapidsMinneapolisProviso TownshipProvisoOmahaLawrence TownshipLawrenceWichitaMidwestKansas CityBlue TownshipWayne TownshipWayneSt. PaulUnited States of AmericaUnited StatesChicagoIndianaEast North CentralColumbusCapital TownshipCapitalWarrenKaw TownshipNorth TownshipNTopeka972500Tract 972500MilwaukeeGrand RapidsSt. LouisRockford TownshipRockfordCincinnatiSpringfield TownshipSpringfieldToledoAkronSwan TownshipThornton TownshipThorntonCenter TownshipCtrDaytonClevelandDetroit93.627366%93.627366%93.6%10,78410.8k193.479924%93.479924%93.5%9,778291.560055%91.560055%91.6%9,948391.077773%91.077773%91.1%6,921490.865545%90.865545%90.9%8,157590.672074%90.672074%90.7%6,260690.604575%90.604575%90.6%6,654790.562660%90.562660%90.6%7,082890.366782%90.366782%90.4%6,529990.080764%90.080764%90.1%7,9191089.640761%89.640761%89.6%10,08110.1k1189.300338%89.300338%89.3%5,0161288.756525%88.756525%88.8%13,26213.3k1388.717454%88.717454%88.7%7,3601488.706564%88.706564%88.7%8,2711588.698630%88.698630%88.7%1,29588.477574%88.477574%88.5%7,0031687.982401%87.982401%88.0%6,9991787.795961%87.795961%87.8%15,12915.1k1887.656994%87.656994%87.7%6,0721987.319317%87.319317%87.3%2,65887.319317%87.319317%87.3%2,65886.546302%86.546302%86.5%7,4302086.368701%86.368701%86.4%6,9762186.339842%86.339842%86.3%24,41024.4k2286.115652%86.115652%86.1%8,4292386.096143%86.096143%86.1%24,28624.3k2485.843794%85.843794%85.8%6,1552585.168183%85.168183%85.2%19,85119.9k2684.507990%84.507990%84.5%3,510,6363.51M84.492648%84.492648%84.5%8,1022784.271268%84.271268%84.3%7,6672884.155952%84.155952%84.2%8,1162983.979482%83.979482%84.0%15,55315.6k3083.826751%83.826751%83.8%16,918,49516.9M83.502988%83.502988%83.5%160,537161k3183.393627%83.393627%83.4%342,787343k83.320331%83.320331%83.3%2,401,9262.40M83.115810%83.115810%83.1%45,27945.3k3282.023792%82.023792%82.0%5,5853381.783681%81.783681%81.8%6,4653481.379310%81.379310%81.4%9,2043581.018469%81.018469%81.0%7,5893680.647875%80.647875%80.6%5,7513779.296066%79.296066%79.3%38378.119364%78.119364%78.1%27,72327.7k3877.964562%77.964562%78.0%8,5803977.165002%77.165002%77.2%15,53115.5k4075.508970%75.508970%75.5%7,4924175.413111%75.413111%75.4%12,45912.5k4274.964516%74.964516%75.0%6,8664373.599363%73.599363%73.6%12,00712.0k4471.832579%71.832579%71.8%8,2554569.680851%69.680851%69.7%13169.122876%69.122876%69.1%6,9984666.098861%66.098861%66.1%6,3254764.663494%64.663494%64.7%4,7564864.097134%64.097134%64.1%13,62013.6k4958.323492%58.323492%58.3%22,22322.2k50

Employment Status by County Subdivision in the United States

There are 35,600 county subdivisions in the United States. This section compares the Swan Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Swan Township. 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 the Swan Township, selected other county subdivisions in the United States, and entities that contain the Swan Township
0%20%40%60%80%Count#PlanoSeattle EastNortheast TarrantNE TarrantNorthwest HarrisNW HarrisSan JoseAustinSalt Lake CitySalt Lk CityTownship 1:Charlotte1, CharlotteEast Noble School CorporationEast NobleNortheast DallasNE DallasDenverTown of HempsteadHempsteadQueensHoustonSan FranciscoKendallville Metro AreaKendallvilleNoble CountyNobleSeattleAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…TulsaFort WorthSan DiegoSan Fernando ValleySan Fernando VlyManhattanSouthwest DallasSW DallasEast San Gabriel ValleyE San Gabriel VlyLong Beach-LakewoodLong Bch-LakewoodLos AngelesPhoenixWashingtonTampaMidwestBrooklynOrlandoUnited States of AmericaUnited StatesChicagoEl PasoIndianaEast North CentralLas VegasColumbusOntarioOceanside-EscondidoOceanside-Escond…AlbuquerqueBostonMiamiTucsonAtlantaSan Antonio CentralSan Antonio CntrlSacramento972500Tract 972500San BernardinoMilwaukeeBronxFresnoBaltimorePhiladelphiaSwan TownshipDetroit93.125861%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%53,13553.1k888.698630%88.698630%88.7%1,29588.524499%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%63,96664.0k1487.319317%87.319317%87.3%2,65887.319317%87.319317%87.3%2,65887.270578%87.270578%87.3%70,13570.1k1586.940737%86.940737%86.9%99,86199.9k1686.642310%86.642310%86.6%32,49032.5k1786.152627%86.152627%86.2%47,84447.8k1886.039514%86.039514%86.0%138,398138k1985.753475%85.753475%85.8%111,910112k2085.725962%85.725962%85.7%102,788103k2185.460025%85.460025%85.5%57,28357.3k2285.286657%85.286657%85.3%50,77250.8k2385.186577%85.186577%85.2%34,01534.0k2485.164431%85.164431%85.2%166,723167k2585.138122%85.138122%85.1%176,814177k2684.835284%84.835284%84.8%39,14339.1k2784.549061%84.549061%84.5%36,87136.9k2884.507990%84.507990%84.5%3,510,6363.51M84.123947%84.123947%84.1%145,081145k2983.906583%83.906583%83.9%34,27534.3k3083.826751%83.826751%83.8%16,918,49516.9M83.502988%83.502988%83.5%160,537161k3183.435482%83.435482%83.4%25,45725.5k3283.393627%83.393627%83.4%342,787343k83.320331%83.320331%83.3%2,401,9262.40M83.264614%83.264614%83.3%110,463110k3383.115810%83.115810%83.1%45,27945.3k3483.010786%83.010786%83.0%37,01737.0k3582.905810%82.905810%82.9%36,84536.8k3682.351470%82.351470%82.4%32,93432.9k3782.260151%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%56,35056.4k4379.296066%79.296066%79.3%38379.087004%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%66,83466.8k4969.680851%69.680851%69.7%13158.323492%58.323492%58.3%22,22322.2k50

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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