Occupations in the Golden Township, Walsh County, North Dakota (Township)

Occupations#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Walsh County and the Golden Township
Golden Township
Walsh County
0%5%10%15%20%CountManagementTransportationRepair1Farming2Healthcare3Business4Entertainment5Sales and RelatedConstruction6Computers & MathEngineering7ScienceSocial ServiceLegalEducation8Health TechniciansHealthcare SupportFire FightingLaw EnforcementFood ServiceFacilitiesPersonal CareAdministrativeProductionMaterial Moving24.719101%13.962670%24.719101%24.7%2217.977528%5.294329%17.977528%18.0%1615.730337%4.163676%15.730337%15.7%1413.483146%9.440057%13.483146%13.5%1210.112360%2.943288%10.112360%10.1%96.741573%2.763819%6.741573%6.7%65.617978%0.807609%5.617978%5.6%53.370787%8.740129%3.370787%3.4%32.247191%4.361091%2.247191%2.2%20.000000%0.000000%0.0%0.233309%00.000000%0.000000%0.0%0.448672%00.000000%0.000000%0.0%0.861450%00.000000%0.000000%0.0%1.830581%00.000000%0.000000%0.0%0.394831%00.000000%0.000000%0.0%5.007179%00.000000%0.000000%0.0%2.117732%00.000000%0.000000%0.0%2.853553%00.000000%0.000000%0.0%0.233309%00.000000%0.000000%0.0%0.305097%00.000000%0.000000%0.0%4.020101%00.000000%0.000000%0.0%3.033022%00.000000%0.000000%0.0%5.025126%00.000000%0.000000%0.0%10.498923%00.000000%0.000000%0.0%7.017229%00.000000%0.000000%0.0%3.643216%0
Count number of people employed in given occupation
1Installation, maintenance, and repair 2Farming, fishing, and forestry 3Health diagnosing and treating practitioners 4Business and finance 5Arts, design, entertainment, sports, and media 6Construction and extraction 7Engineering and architecture 8Education, training, and library

Relative Occupations#2

Percentage more or less common in the Golden Township than in Walsh County, among the civilian employed population aged 16 and older.
Scope: population of Walsh County and the Golden Township
Less Common
More Common
0%200%400%%ref.Entertainment1Repair2Healthcare3TransportationBusiness4ManagementFarming5Construction6Sales and RelatedComputers & MathEngineering7ScienceSocial ServiceLegalEducation8Health TechniciansHealthcare SupportFire FightingLaw EnforcementFood ServiceFacilitiesPersonal CareAdministrativeProductionMaterial Moving595.630462%595.630462%595.6%5.618%5.62%0.808%0.81%277.799303%277.799303%277.8%15.730%15.7%4.164%4.16%243.573582%243.573582%243.6%10.112%10.1%2.943%2.94%239.561988%239.561988%239.6%17.978%18.0%5.294%5.29%143.922370%143.922370%143.9%6.742%6.74%2.764%2.76%77.037058%77.037058%77.0%24.719%24.7%13.963%14.0%42.829068%42.829068%42.8%13.483%13.5%9.440%9.44%-48.471818%-48.471818%48.5%2.247%2.25%4.361%4.36%-61.433219%-61.433219%61.4%3.371%3.37%8.740%8.74%-100.000000%-100.000000%100.0%0.000%0%0.233%0.23%-100.000000%-100.000000%100.0%0.000%0%0.449%0.45%-100.000000%-100.000000%100.0%0.000%0%0.861%0.86%-100.000000%-100.000000%100.0%0.000%0%1.831%1.83%-100.000000%-100.000000%100.0%0.000%0%0.395%0.39%-100.000000%-100.000000%100.0%0.000%0%5.007%5.01%-100.000000%-100.000000%100.0%0.000%0%2.118%2.12%-100.000000%-100.000000%100.0%0.000%0%2.854%2.85%-100.000000%-100.000000%100.0%0.000%0%0.233%0.23%-100.000000%-100.000000%100.0%0.000%0%0.305%0.31%-100.000000%-100.000000%100.0%0.000%0%4.020%4.02%-100.000000%-100.000000%100.0%0.000%0%3.033%3.03%-100.000000%-100.000000%100.0%0.000%0%5.025%5.03%-100.000000%-100.000000%100.0%0.000%0%10.499%10.5%-100.000000%-100.000000%100.0%0.000%0%7.017%7.02%-100.000000%-100.000000%100.0%0.000%0%3.643%3.64%
% percentage of occupation in the Golden Township
ref. percentage of occupation in Walsh County
1Arts, design, entertainment, sports, and media 2Installation, maintenance, and repair 3Health diagnosing and treating practitioners 4Business and finance 5Farming, fishing, and forestry 6Construction and extraction 7Engineering and architecture 8Education, training, and library

Sex Ratio by Occupation#3

Sex ratio by occupation among the civilian employed population aged 16 and older.
Scope: population of Walsh County and the Golden Township
Female Male
Walsh County
Golden Township
1.5x1.0x0.5x0.0x0.5x1.0x1.5xFMAll OccupationsManagementHealthcare1-1.000000x-1.000000x-1.000000x1.617647x1.170627x1.617647x1.62x3455-1.000000x-1.000000x-1.000000x1.444444x3.445714x1.444444x1.44x913-1.000000x-6.454545x-1.000000x1.250000x1.000000x1.250000x1.25x45
F number of females employed in given occupation
M number of males employed in given occupation
1Health diagnosing and treating practitioners

Part Timers by Occupation#4

Part time and seasonal workers as a percentage of total workforce within an occupation.
Scope: population of Walsh County and the Golden Township
Golden Township
Walsh County
0%20%40%60%80%PartFullTransportationManagementHealthcare1All OccupationsBusiness2Entertainment3Sales and RelatedFarming4Construction5Repair681.250000%31.525424%81.250000%81.3%13363.636364%15.167095%63.636364%63.6%14844.444444%29.878049%44.444444%44.4%4534.831461%34.870782%34.831461%34.8%31580.000000%0.000000%0.0%23.376623%060.000000%0.000000%0.0%20.000000%050.000000%0.000000%0.0%28.542094%030.000000%0.000000%0.0%48.098859%0120.000000%0.000000%0.0%39.506173%020.000000%0.000000%0.0%15.086207%014
Part number of part time workers employed in given occupation
Full number of full time workers employed in given occupation
1Health diagnosing and treating practitioners 2Business and finance 3Arts, design, entertainment, sports, and media 4Farming, fishing, and forestry 5Construction and extraction 6Installation, maintenance, and repair 7Engineering and architecture 8Education, training, and library

Median Income by Occupation#5

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Walsh County and the Golden Township
Golden Township
Walsh County
$0k$10k$20k$30k$40k%CountAll Occupations$45,833.000000$42,156.000000$45,833.000000$45.8k100.000%100%89
% percent of the workforce employed in given occupation
Count number of people employed in given occupation
1Business and finance 2Engineering and architecture 3Education, training, and library 4Arts, design, entertainment, sports, and media 5Health diagnosing and treating practitioners 6Farming, fishing, and forestry 7Construction and extraction 8Installation, maintenance, and repair

Occupations by County Subdivision in North Dakota

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

Management Occupations by County Subdivision#6

Percentage of the civilian employed population aged 16 and older.
Scope: population of the Golden Township, selected other county subdivisions in North Dakota, and entities that contain the Golden Township
0%5%10%15%20%Count#Golden TownshipGoldenDickinson NorthDickinson NNorth SiouxNorth RoletteHay Creek TownshipHay CrkEast MortonWalsh CountyWalshHarrison TownshipHarrisonMayvilleBurnt Creek-RiverviewBurnt Crk-RiverviewWatford CityHoraceGraftonLangdonStanleyZIP Code 58270ZIP 58270OakesNorth DakotaApple Creek TownshipApple CrkTatman TownshipTatmanMandanWest FargoNew TownLincoln-Fort RiceGibbs TownshipGibbsFort TottenCarringtonWillistonCasseltonWest North CentralBeulahFort YatesValley CityUnited States of AmericaUnited StatesDevils LakeBowmanMidwestHillsboroNedrose TownshipNedroseLisbonBismarckFort BertholdFargoRugbyLincolnWahpetonDickinsonGrand ForksMinotMandanTurtle MountainTurtle MtnJamestownBottineauWaterford TownshipWaterfordHarveyHazenMekinock TownshipMekinock24.719101%24.719101%24.7%2219.450317%19.450317%19.5%368115.920398%15.920398%15.9%64215.769231%15.769231%15.8%205315.755764%15.755764%15.8%369415.418782%15.418782%15.4%243513.962670%13.962670%14.0%77813.749162%13.749162%13.7%205613.248848%13.248848%13.2%115713.165906%13.165906%13.2%173813.151261%13.151261%13.2%313912.755798%12.755798%12.8%1871012.265084%12.265084%12.3%2481112.195122%12.195122%12.2%1251212.103004%12.103004%12.1%1411311.977401%11.977401%12.0%10611.775201%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%101339.149682%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 Golden Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Golden Township. The least populous of the compared county subdivisions has a population of 112,821.

Management Occupations by County Subdivision#31

Percentage of the civilian employed population aged 16 and older.
Scope: population of the Golden Township, selected other county subdivisions in the Midwest, and entities that contain the Golden Township
0%5%10%15%20%Count#Golden TownshipGoldenOverland ParkPalatine TownshipPalatineWalsh CountyWalshYork TownshipLisle TownshipLisleMilton TownshipMiltonDowners Grove TownshipDowners GrvWheeling TownshipWheelingOlatheZIP Code 58270ZIP 58270Washington TownshipWashingtonNorth DakotaSchaumburg TownshipSchaumburgMinneapolisBloomingdale TownshipBloomingdaleWest North CentralMaine TownshipMaineLawrence TownshipLawrenceAnn ArborMadisonUnited States of AmericaUnited StatesKaw TownshipMidwestChicagoCapital TownshipCapitalCedar RapidsOmahaLincolnColumbusFargoWichitaSt. PaulSt. LouisSterling HeightsSterling HtsCincinnatiSioux FallsProviso TownshipProvisoWorth TownshipWorthNorth TownshipNTopekaGrand RapidsSpringfield TownshipSpringfieldCenter TownshipCtrAkronRockford TownshipRockfordMilwaukeeDaytonToledoClevelandThornton TownshipThorntonWayne TownshipWayneBlue TownshipWarrenKansas CityAurora TownshipAuroraDetroit24.719101%24.719101%24.7%2214.855423%14.855423%14.9%14,75514.8k114.280314%14.280314%14.3%8,688213.962670%13.962670%14.0%77813.861418%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%10,06110.1k612.498298%12.498298%12.5%10,09810.1k712.497347%12.497347%12.5%8,834811.977401%11.977401%12.0%10611.822686%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%6,573209.255914%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 Golden Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Golden Township. The least populous of the compared county subdivisions has a population of 547,300.

Management Occupations by County Subdivision#56

Percentage of the civilian employed population aged 16 and older.
Scope: population of the Golden Township, selected other county subdivisions in the United States, and entities that contain the Golden Township
0%5%10%15%20%Count#Golden TownshipGoldenManhattanWashingtonSeattle EastPlanoSan FranciscoWalsh CountyWalshAtlantaNortheast TarrantNE TarrantNorthwest HarrisNW HarrisSan JoseSeattleDenverZIP Code 58270ZIP 58270AustinNorth 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 AngelesTulsaOntarioAnaheim-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 BernardinoDetroit24.719101%24.719101%24.7%2216.529703%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%69,48869.5k513.962670%13.962670%14.0%77813.662246%13.662246%13.7%38,89338.9k613.543186%13.543186%13.5%40,10340.1k712.957054%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%45,08245.1k1111.977401%11.977401%12.0%10611.961508%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%28,47428.5k259.322089%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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State:
North Dakota
County:
Walsh
ZIP Code:
58270
Unified School Districts:
Park River 78, Valley-Edinburg 118
Congressional District:
ND-At Large
State Senate District:
ND-10
State House District:
ND-10
Neighboring Townships:
Kensington, Lampton, Norton, Tiber, Vernon, Vesta
Nearby Townships:
Dundee, Fertile, Latona, Medford, Rushford