Occupations in the Nansen Township, Richland County, North Dakota (Township)

Occupations#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Richland County and the Nansen Township
Nansen Township
Richland County
0%5%10%15%CountProductionSales and RelatedConstruction1Business2Healthcare SupportManagementRepair3Personal CareComputers & MathEngineering4ScienceSocial ServiceLegalEducation5Entertainment6Healthcare7Health TechniciansFire FightingLaw EnforcementFood ServiceFacilitiesAdministrativeFarming8TransportationMaterial Moving18.750000%11.474113%18.750000%18.8%615.625000%6.714899%15.625000%15.6%515.625000%5.844449%15.625000%15.6%512.500000%2.780918%12.500000%12.5%412.500000%3.413972%12.500000%12.5%49.375000%13.068053%9.375000%9.4%39.375000%5.708795%9.375000%9.4%36.250000%4.295727%6.250000%6.3%20.000000%0.000000%0.0%0.960886%00.000000%0.000000%0.0%1.695682%00.000000%0.000000%0.0%0.293918%00.000000%0.000000%0.0%1.446982%00.000000%0.000000%0.0%0.497400%00.000000%0.000000%0.0%4.612254%00.000000%0.000000%0.0%1.107845%00.000000%0.000000%0.0%2.803527%00.000000%0.000000%0.0%3.097445%00.000000%0.000000%0.0%0.452182%00.000000%0.000000%0.0%0.712186%00.000000%0.000000%0.0%4.985304%00.000000%0.000000%0.0%3.312232%00.000000%0.000000%0.0%10.547140%00.000000%0.000000%0.0%3.425277%00.000000%0.000000%0.0%3.470495%00.000000%0.000000%0.0%3.278318%0

Relative Occupations#2

Percentage more or less common in the Nansen Township than in Richland County, among the civilian employed population aged 16 and older.
Scope: population of Richland County and the Nansen Township
Less Common
More Common
0%200%%ref.Business1Healthcare SupportConstruction2Sales and RelatedRepair3ProductionPersonal CareManagementComputers & MathEngineering4ScienceSocial ServiceLegalEducation5Entertainment6Healthcare7Health TechniciansFire FightingLaw EnforcementFood ServiceFacilitiesAdministrativeFarming8TransportationMaterial Moving349.491870%349.491870%349.5%12.500%12.5%2.781%2.78%266.142384%266.142384%266.1%12.500%12.5%3.414%3.41%167.347679%167.347679%167.3%15.625%15.6%5.844%5.84%132.691498%132.691498%132.7%15.625%15.6%6.715%6.71%64.220297%64.220297%64.2%9.375%9.38%5.709%5.71%63.411330%63.411330%63.4%18.750%18.8%11.474%11.5%45.493421%45.493421%45.5%6.250%6.25%4.296%4.30%-28.260164%-28.260164%28.3%9.375%9.38%13.068%13.1%-100.000000%-100.000000%100.0%0.000%0%0.961%0.96%-100.000000%-100.000000%100.0%0.000%0%1.696%1.70%-100.000000%-100.000000%100.0%0.000%0%0.294%0.29%-100.000000%-100.000000%100.0%0.000%0%1.447%1.45%-100.000000%-100.000000%100.0%0.000%0%0.497%0.50%-100.000000%-100.000000%100.0%0.000%0%4.612%4.61%-100.000000%-100.000000%100.0%0.000%0%1.108%1.11%-100.000000%-100.000000%100.0%0.000%0%2.804%2.80%-100.000000%-100.000000%100.0%0.000%0%3.097%3.10%-100.000000%-100.000000%100.0%0.000%0%0.452%0.45%-100.000000%-100.000000%100.0%0.000%0%0.712%0.71%-100.000000%-100.000000%100.0%0.000%0%4.985%4.99%-100.000000%-100.000000%100.0%0.000%0%3.312%3.31%-100.000000%-100.000000%100.0%0.000%0%10.547%10.5%-100.000000%-100.000000%100.0%0.000%0%3.425%3.43%-100.000000%-100.000000%100.0%0.000%0%3.470%3.47%-100.000000%-100.000000%100.0%0.000%0%3.278%3.28%

Sex Ratio by Occupation#3

Sex ratio by occupation among the civilian employed population aged 16 and older.
Scope: population of Richland County and the Nansen Township
Female Male
Richland County
Nansen Township
1x0x1xFMAll OccupationsSales and Related-1.000000x-1.000000x-1.000000x1.666667x1.221497x1.666667x1.67x1220-1.000000x-1.000000x-1.000000x1.500000x1.208178x1.500000x1.50x23

Part Timers by Occupation#4

Part time and seasonal workers as a percentage of total workforce within an occupation.
Scope: population of Richland County and the Nansen Township
Nansen Township
Richland County
0%50%100%PartFullBusiness1Healthcare SupportPersonal CareSales and RelatedAll OccupationsManagementConstruction2Repair3Production100.000000%25.203252%100.000000%100.0%40100.000000%55.629139%100.000000%100.0%40100.000000%42.894737%100.000000%100.0%2040.000000%37.037037%40.000000%40.0%2337.500000%31.358806%37.500000%37.5%12200.000000%0.000000%0.0%14.446367%030.000000%0.000000%0.0%19.922631%050.000000%0.000000%0.0%32.079208%030.000000%0.000000%0.0%16.157635%06

Median Income by Occupation#5

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Richland County and the Nansen Township
Nansen Township
Richland County
$0k$20k$40k$60k%CountAll Occupations$65,500.000000$42,301.000000$65,500.000000$65.5k100.000%100%32

Map of Occupations by Tract in the Nansen Township

Management Occupations by Tract#6

Percentage of the population aged 16 and older employed with occupation: management (%):
17.4%18.1%18.9%19.6%20.4%21.1%

Business Occupations by Tract#7

Percentage of the population aged 16 and older employed with occupation: business (business and finance) (%):
4.17%4.35%4.53%4.71%4.90%5.08%

Computers & Math Occupations by Tract#8

Percentage of the population aged 16 and older employed with occupation: computers & math (%):
1.308%1.322%1.336%1.349%1.363%1.377%

Engineering Occupations by Tract#9

Percentage of the population aged 16 and older employed with occupation: engineering (engineering and architecture) (%):
2.125%2.131%2.136%2.141%2.146%2.152%

Science Occupations by Tract#10

Percentage of the population aged 16 and older employed with occupation: science (%):
0.572%0.578%0.584%0.590%0.596%0.603%

Social Service Occupations by Tract#11

Percentage of the population aged 16 and older employed with occupation: social service (%):
0.490%0.496%0.501%0.506%0.511%0.517%

Legal Occupations by Tract#12

Percentage of the population aged 16 and older employed with occupation: legal (%):
0.00%0.19%0.38%0.57%0.76%0.95%

Education Occupations by Tract#13

Percentage of the population aged 16 and older employed with occupation: education (education, training, and library) (%):
3.6%4.2%4.9%5.5%6.2%6.8%

Entertainment Occupations by Tract#14

Percentage of the population aged 16 and older employed with occupation: entertainment (arts, design, entertainment, sports, and media) (%):
0.49%0.82%1.15%1.49%1.82%2.16%

Healthcare Occupations by Tract#15

Percentage of the population aged 16 and older employed with occupation: healthcare (health diagnosing and treating practitioners) (%):
2.04%2.29%2.53%2.78%3.03%3.28%

Health Technicians Occupations by Tract#16

Percentage of the population aged 16 and older employed with occupation: health technicians (%):
1.20%1.37%1.54%1.71%1.88%2.05%

Healthcare Support Occupations by Tract#17

Percentage of the population aged 16 and older employed with occupation: healthcare support (%):
1.63%1.77%1.90%2.03%2.16%2.29%

Fire Fighting Occupations by Tract#18

Percentage of the population aged 16 and older employed with occupation: fire fighting (%):
0.00%0.19%0.38%0.57%0.76%0.95%

Law Enforcement Occupations by Tract#19

Percentage of the population aged 16 and older employed with occupation: law enforcement (%):
0.32%0.45%0.57%0.70%0.82%0.95%

Food Service Occupations by Tract#20

Percentage of the population aged 16 and older employed with occupation: food service (%):
4.7332%4.7351%4.7369%4.7387%4.7406%4.7425%

Facilities Occupations by Tract#21

Percentage of the population aged 16 and older employed with occupation: facilities (%):
1.63%2.08%2.53%2.98%3.43%3.88%

Personal Care Occupations by Tract#22

Percentage of the population aged 16 and older employed with occupation: personal care (%):
2.8%3.4%3.9%4.5%5.0%5.6%

Sales and Related Occupations by Tract#23

Percentage of the population aged 16 and older employed with occupation: sales and related (%):
7.31%7.50%7.69%7.88%8.07%8.26%

Administrative Occupations by Tract#24

Percentage of the population aged 16 and older employed with occupation: administrative (%):
7.84%8.35%8.84%9.34%9.83%10.33%

Farming Occupations by Tract#25

Percentage of the population aged 16 and older employed with occupation: farming (farming, fishing, and forestry) (%):
1.63%2.04%2.45%2.86%3.27%3.68%

Construction Occupations by Tract#26

Percentage of the population aged 16 and older employed with occupation: construction (construction and extraction) (%):
6.29%6.50%6.70%6.91%7.11%7.32%

Repair Occupations by Tract#27

Percentage of the population aged 16 and older employed with occupation: repair (installation, maintenance, and repair) (%):
2.53%2.68%2.83%2.98%3.12%3.28%

Production Occupations by Tract#28

Percentage of the population aged 16 and older employed with occupation: production (%):
5.3%6.8%8.3%9.7%11.2%12.7%

Transportation Occupations by Tract#29

Percentage of the population aged 16 and older employed with occupation: transportation (%):
3.5%4.1%4.7%5.2%5.7%6.3%

Material Moving Occupations by Tract#30

Percentage of the population aged 16 and older employed with occupation: material moving (%):
1.54%1.86%2.17%2.48%2.80%3.11%
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Occupations by County Subdivision in the Wahpeton Area

There are 80 county subdivisions in the Wahpeton Area. This section compares the Nansen Township to the 50 most populous county subdivisions in the Wahpeton Area and to those entities that contain or substantially overlap with the Nansen Township. The least populous of the compared county subdivisions has a population of 82.

Management Occupations by County Subdivision#31

Percentage of the civilian employed population aged 16 and older.
Scope: population of the Nansen Township, selected other county subdivisions in the Wahpeton Area, and entities that contain the Nansen Township
0%20%40%60%80%Count#Liberty Grove TownshipLiberty GrvSummit TownshipSummitBarney TownshipBarneyBrandenburg TownshipBrandenburgFoxhome TownshipFoxhomeHomestead TownshipHomesteadHelendale TownshipHelendaleRoberts TownshipRobertsAntelope TownshipAntelopeWalcott TownshipWalcottColfaxColfax TownshipColfaxSunnyside TownshipSunnysideDanton TownshipDantonAtherton TownshipAthertonDuerr TownshipDuerrBrandrup TownshipBrandrupGarborg TownshipGarborgGrant TownshipGrantMooretonConnelly TownshipConnellyBelford TownshipBelfordPrairie View TownshipPrairie VwRichland Public School District 44Richland 44Abercrombie TownshipAbercrombieAkron TownshipAkronLaMars TownshipLaMarsGreendale TownshipGreendaleMooreton TownshipMooretonDwight TownshipDwightEagle TownshipEagleAbercrombieWahpeton Metro AreaWahpeton AreaRichland CountyRichlandBreckenridge TownshipBreckenridgeFoxhomeCenter TownshipCtrDeerhorn TownshipDeerhornNorth DakotaBrightwood TownshipBrightwoodWalcottBreckenridgeWest North CentralUnited States of AmericaUnited StatesMidwestNansen TownshipNansenLidgerwoodWyndmereWahpetonWolverton TownshipWolvertonHankinsonChristineCampbellFairmountRothsayWolvertonFairmount TownshipFairmountBarrie TownshipBarrie87.500000%87.500000%87.5%14153.571429%53.571429%53.6%45248.275862%48.275862%48.3%28341.975309%41.975309%42.0%34440.000000%40.000000%40.0%18538.709677%38.709677%38.7%24636.781609%36.781609%36.8%32736.764706%36.764706%36.8%25836.538462%36.538462%36.5%19935.978836%35.978836%36.0%681029.870130%29.870130%29.9%231128.662420%28.662420%28.7%451227.450980%27.450980%27.5%281327.380952%27.380952%27.4%231427.272727%27.272727%27.3%271527.272727%27.272727%27.3%211625.773196%25.773196%25.8%251723.404255%23.404255%23.4%111822.368421%22.368421%22.4%171922.142857%22.142857%22.1%312021.875000%21.875000%21.9%142121.568627%21.568627%21.6%112220.529801%20.529801%20.5%312319.105691%19.105691%19.1%14118.939394%18.939394%18.9%252418.032787%18.032787%18.0%112517.307692%17.307692%17.3%92617.283951%17.283951%17.3%142716.000000%16.000000%16.0%122815.025907%15.025907%15.0%292914.285714%14.285714%14.3%143014.024390%14.024390%14.0%233113.392490%13.392490%13.4%1,63013.068053%13.068053%13.1%1,15612.857143%12.857143%12.9%183212.727273%12.727273%12.7%73312.615385%12.615385%12.6%413412.500000%12.500000%12.5%53511.747695%11.747695%11.7%46,47246.5k11.475410%11.475410%11.5%73610.884354%10.884354%10.9%163710.565569%10.565569%10.6%1703810.444668%10.444668%10.4%1,097,0401.10M10.035605%10.035605%10.0%14,852,82814.9M9.823005%9.823005%9.8%3,193,2973.19M9.375000%9.375000%9.4%39.354839%9.354839%9.4%29398.943089%8.943089%8.9%22408.078450%8.078450%8.1%346417.692308%7.692308%7.7%7427.359307%7.359307%7.4%34434.395604%4.395604%4.4%4444.166667%4.166667%4.2%4454.040404%4.040404%4.0%8463.816794%3.816794%3.8%5472.597403%2.597403%2.6%2482.000000%2.000000%2.0%1490.000000%0.000000%0.0%050

Occupations by County Subdivision in North Dakota

There are 1,763 county subdivisions in North Dakota. This section compares the Nansen Township to the 50 most populous county subdivisions in North Dakota and to those entities that contain or substantially overlap with the Nansen Township. The least populous of the compared county subdivisions has a population of 1,474.

Management Occupations by County Subdivision#56

Percentage of the civilian employed population aged 16 and older.
Scope: population of the Nansen Township, selected other county subdivisions in North Dakota, and entities that contain the Nansen Township
0%5%10%15%Count#Dickinson NorthDickinson NRichland Public School District 44Richland 44North SiouxNorth RoletteHay Creek TownshipHay CrkEast MortonHarrison TownshipHarrisonWahpeton Metro AreaWahpeton AreaMayvilleBurnt Creek-RiverviewBurnt Crk-RiverviewWatford CityRichland CountyRichlandHoraceGraftonLangdonStanleyOakesNorth DakotaApple Creek TownshipApple CrkTatman TownshipTatmanMandanWest FargoNew TownLincoln-Fort RiceGibbs TownshipGibbsFort TottenCarringtonWillistonCasseltonWest North CentralBeulahFort YatesValley CityUnited States of AmericaUnited StatesDevils LakeBowmanMidwestHillsboroNedrose TownshipNedroseLisbonNansen TownshipNansenBismarckFort BertholdFargoRugbyLincolnWahpetonDickinsonGrand ForksMinotMandanTurtle MountainTurtle MtnJamestownBottineauWaterford TownshipWaterfordHarveyHazenMekinock TownshipMekinock19.450317%19.450317%19.5%368119.105691%19.105691%19.1%14115.920398%15.920398%15.9%64215.769231%15.769231%15.8%205315.755764%15.755764%15.8%369415.418782%15.418782%15.4%243513.749162%13.749162%13.7%205613.392490%13.392490%13.4%1,63013.248848%13.248848%13.2%115713.165906%13.165906%13.2%173813.151261%13.151261%13.2%313913.068053%13.068053%13.1%1,15612.755798%12.755798%12.8%1871012.265084%12.265084%12.3%2481112.195122%12.195122%12.2%1251212.103004%12.103004%12.1%1411311.775201%11.775201%11.8%1321411.747695%11.747695%11.7%46,47246.5k11.623727%11.623727%11.6%1941511.484919%11.484919%11.5%991611.442661%11.442661%11.4%1,3691711.333730%11.333730%11.3%2,0931811.182109%11.182109%11.2%1051910.994264%10.994264%11.0%2302010.935024%10.935024%10.9%1382110.843373%10.843373%10.8%362210.791367%10.791367%10.8%1202310.628675%10.628675%10.6%1,4102410.591133%10.591133%10.6%1292510.444668%10.444668%10.4%1,097,0401.10M10.193871%10.193871%10.2%1632610.140406%10.140406%10.1%652710.115526%10.115526%10.1%3592810.035605%10.035605%10.0%14,852,82814.9M9.987030%9.987030%10.0%385299.922822%9.922822%9.9%90309.823005%9.823005%9.8%3,193,2973.19M9.762203%9.762203%9.8%78319.734513%9.734513%9.7%121329.377902%9.377902%9.4%101339.375000%9.375000%9.4%39.149682%9.149682%9.1%3,524348.949416%8.949416%8.9%46358.848749%8.848749%8.8%6,006368.623088%8.623088%8.6%124378.151305%8.151305%8.2%153388.078450%8.078450%8.1%346397.786484%7.786484%7.8%954407.706642%7.706642%7.7%2,440417.699595%7.699595%7.7%2,032427.103825%7.103825%7.1%91436.950160%6.950160%7.0%152446.277743%6.277743%6.3%495456.255507%6.255507%6.3%71465.445026%5.445026%5.4%52474.761905%4.761905%4.8%42482.151284%2.151284%2.2%31491.349325%1.349325%1.3%950

Occupations by County Subdivision in the Midwest

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

Management Occupations by County Subdivision#81

Percentage of the civilian employed population aged 16 and older.
Scope: population of the Nansen Township, selected other county subdivisions in the Midwest, and entities that contain the Nansen Township
0%5%10%15%Count#Richland Public School District 44Richland 44Overland ParkPalatine TownshipPalatineYork TownshipLisle TownshipLisleMilton TownshipMiltonDowners Grove TownshipDowners GrvWahpeton Metro AreaWahpeton AreaRichland CountyRichlandWheeling TownshipWheelingOlatheWashington TownshipWashingtonNorth DakotaSchaumburg TownshipSchaumburgMinneapolisBloomingdale TownshipBloomingdaleWest North CentralMaine TownshipMaineLawrence TownshipLawrenceAnn ArborMadisonUnited States of AmericaUnited StatesKaw TownshipMidwestChicagoCapital TownshipCapitalCedar RapidsNansen TownshipNansenOmahaLincolnColumbusFargoWichitaSt. PaulSt. LouisSterling HeightsSterling HtsCincinnatiSioux FallsProviso TownshipProvisoWorth TownshipWorthNorth TownshipNTopekaGrand RapidsSpringfield TownshipSpringfieldCenter TownshipCtrAkronRockford TownshipRockfordMilwaukeeDaytonToledoClevelandThornton TownshipThorntonWayne TownshipWayneBlue TownshipWarrenKansas CityAurora TownshipAuroraDetroit19.105691%19.105691%19.1%14114.855423%14.855423%14.9%14,75514.8k114.280314%14.280314%14.3%8,688213.861418%13.861418%13.9%8,620313.857442%13.857442%13.9%8,801413.607101%13.607101%13.6%8,201513.532672%13.532672%13.5%10,06110.1k613.392490%13.392490%13.4%1,63013.068053%13.068053%13.1%1,15612.498298%12.498298%12.5%10,09810.1k712.497347%12.497347%12.5%8,834811.822686%11.822686%11.8%8,852911.747695%11.747695%11.7%46,47246.5k11.215342%11.215342%11.2%8,0821011.090883%11.090883%11.1%25,34325.3k1110.703868%10.703868%10.7%6,4951210.444668%10.444668%10.4%1,097,0401.10M10.230974%10.230974%10.2%6,9411310.178765%10.178765%10.2%6,1951410.163555%10.163555%10.2%6,0651510.142086%10.142086%10.1%14,53314.5k1610.035605%10.035605%10.0%14,852,82814.9M9.830735%9.830735%9.8%8,828179.823005%9.823005%9.8%3,193,2973.19M9.686446%9.686446%9.7%125,034125k189.490124%9.490124%9.5%5,165199.453745%9.453745%9.5%6,573209.375000%9.375000%9.4%39.255914%9.255914%9.3%20,95421.0k218.952573%8.952573%9.0%13,25513.3k228.938711%8.938711%8.9%37,82837.8k238.848749%8.848749%8.8%6,006248.828501%8.828501%8.8%16,19216.2k258.615624%8.615624%8.6%12,87212.9k268.539382%8.539382%8.5%12,73712.7k278.523147%8.523147%8.5%5,422288.480632%8.480632%8.5%11,70211.7k298.151678%8.151678%8.2%6,432307.864640%7.864640%7.9%5,687317.841240%7.841240%7.8%5,512327.755132%7.755132%7.8%5,213337.657261%7.657261%7.7%4,521347.353898%7.353898%7.4%6,892357.129728%7.129728%7.1%5,663367.037418%7.037418%7.0%4,305376.884817%6.884817%6.9%6,110386.845992%6.845992%6.8%5,108396.680024%6.680024%6.7%17,83717.8k406.420093%6.420093%6.4%3,548416.340644%6.340644%6.3%7,664426.287799%6.287799%6.3%9,409436.213626%6.213626%6.2%4,260446.095911%6.095911%6.1%3,830456.010562%6.010562%6.0%4,211465.821231%5.821231%5.8%3,395475.284388%5.284388%5.3%3,524485.277745%5.277745%5.3%3,618494.999593%4.999593%5.0%11,05911.1k50

Occupations by County Subdivision in the United States

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

Management Occupations by County Subdivision#106

Percentage of the civilian employed population aged 16 and older.
Scope: population of the Nansen Township, selected other county subdivisions in the United States, and entities that contain the Nansen Township
0%5%10%15%Count#Richland Public School District 44Richland 44ManhattanWashingtonSeattle EastPlanoSan FranciscoAtlantaNortheast TarrantNE TarrantWahpeton Metro AreaWahpeton AreaRichland CountyRichlandNorthwest HarrisNW HarrisSan JoseSeattleDenverAustinNorth DakotaTownship 1:Charlotte1, CharlotteSan DiegoBostonSalt Lake CitySalt Lk CityWest North CentralOceanside-EscondidoOceanside-Escond…United States of AmericaUnited StatesTampaNortheast DallasNE DallasMidwestSan Fernando ValleySan Fernando VlyTown of HempsteadHempsteadChicagoLos AngelesTulsaOntarioNansen TownshipNansenAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…PhoenixLong Beach-LakewoodLong Bch-LakewoodMiamiBrooklynAlbuquerqueColumbusSacramentoOrlandoEast San Gabriel ValleyE San Gabriel VlyHoustonFort WorthTucsonBaltimoreQueensFresnoSouthwest DallasSW DallasPhiladelphiaLas VegasEl PasoMilwaukeeSan Antonio CentralSan Antonio CntrlBronxSan BernardinoDetroit19.105691%19.105691%19.1%14116.529703%16.529703%16.5%147,580148k116.121186%16.121186%16.1%56,13856.1k215.623293%15.623293%15.6%47,46747.5k315.500861%15.500861%15.5%44,83544.8k414.223023%14.223023%14.2%69,48869.5k513.662246%13.662246%13.7%38,89338.9k613.543186%13.543186%13.5%40,10340.1k713.392490%13.392490%13.4%1,63013.068053%13.068053%13.1%1,15612.957054%12.957054%13.0%47,46747.5k812.910751%12.910751%12.9%113,179113k912.801437%12.801437%12.8%74,54274.5k1012.512177%12.512177%12.5%45,08245.1k1111.961508%11.961508%12.0%56,55756.6k1211.747695%11.747695%11.7%46,47246.5k11.663665%11.663665%11.7%48,44248.4k1310.848509%10.848509%10.8%121,208121k1410.835836%10.835836%10.8%38,39738.4k1510.525230%10.525230%10.5%52,53752.5k1610.444668%10.444668%10.4%1,097,0401.10M10.133175%10.133175%10.1%30,64130.6k1710.035605%10.035605%10.0%14,852,82814.9M10.028996%10.028996%10.0%32,16632.2k1810.007978%10.007978%10.0%77,27077.3k199.823005%9.823005%9.8%3,193,2973.19M9.795739%9.795739%9.8%88,35688.4k209.718042%9.718042%9.7%37,03437.0k219.686446%9.686446%9.7%125,034125k229.638628%9.638628%9.6%120,847121k239.593634%9.593634%9.6%27,52527.5k249.541810%9.541810%9.5%28,47428.5k259.375000%9.375000%9.4%39.322089%9.322089%9.3%75,84275.8k269.253836%9.253836%9.3%135,932136k279.157509%9.157509%9.2%25,00025.0k289.095453%9.095453%9.1%40,03440.0k299.054172%9.054172%9.1%107,970108k308.957758%8.957758%9.0%26,64126.6k318.938711%8.938711%8.9%37,82837.8k328.891262%8.891262%8.9%43,38143.4k338.790113%8.790113%8.8%25,48525.5k348.784352%8.784352%8.8%38,22338.2k358.760640%8.760640%8.8%139,658140k368.691664%8.691664%8.7%33,63533.6k378.648273%8.648273%8.6%33,07833.1k388.534917%8.534917%8.5%23,46323.5k397.882772%7.882772%7.9%88,33388.3k407.734261%7.734261%7.7%21,61221.6k417.610727%7.610727%7.6%34,04434.0k427.552407%7.552407%7.6%49,46249.5k437.324046%7.324046%7.3%63,32763.3k447.318891%7.318891%7.3%16,39616.4k456.680024%6.680024%6.7%17,83717.8k466.157572%6.157572%6.2%17,49217.5k475.787761%5.787761%5.8%33,33633.3k485.217072%5.217072%5.2%17,47517.5k494.999593%4.999593%5.0%11,05911.1k50

Definitions

An occupation describes the kind of work a person does on the job. On this page, all employed persons are categorized into one of the following occupations (bolded terms are used in the charts and maps on this page):

  • Management, business, science, and arts occupations:
    • Management, business, and financial occupations:
      • Management: Management occupations
      • Business: Business and financial operations occupations
    • Computer, engineering, and science occupations:
      • Computers & Math: Computer and mathematical occupations
      • Engineering: Architecture and engineering occupations
      • Science: Life, physical, and social science occupations
    • Education, legal, community service, arts, and media occupations:
      • Social Service: Community and social service occupations
      • Legal: Legal occupations
      • Education: Education, training, and library occupations
      • Entertainment: Arts, design, entertainment, sports, and media occupations
    • Healthcare practitioners and technical occupations:
      • Healthcare: Health diagnosing and treating practitioners and other technical occupations
      • Health Technicians: Health technologists and technicians
  • Service occupations:
    • Healthcare Support: Healthcare support occupations
    • Protective service occupations:
      • Fire Fighting: Fire fighting and prevention, and other protective service workers including supervisors
      • Law Enforcement: Law enforcement workers including supervisors
    • Food Service: Food preparation and serving related occupations
    • Facilities: Building and grounds cleaning and maintenance occupations
    • Personal Care: Personal care and service occupations
  • Sales and office occupations:
    • Sales and Related: Sales and related occupations
    • Administrative: Office and administrative support occupations
  • Natural resources, construction, and maintenance occupations:
    • Farming: Farming, fishing, and forestry occupations
    • Construction: Construction and extraction occupations
    • Repair: Installation, maintenance, and repair occupations
  • Production, transportation, and material moving occupations:
    • Production: Production occupations
    • Transportation: Transportation occupations
    • Material Moving: Material moving occupations

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

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