Occupations in the Roseland Township, Kandiyohi County, Minnesota (Township)

Occupations#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Kandiyohi County and the Roseland Township
Roseland Township
Kandiyohi County
0%5%10%15%CountManagementAdministrativeConstruction1Education2TransportationFarming3ProductionSales and RelatedMaterial MovingFood ServiceHealthcare SupportRepair4Healthcare5Business6Health TechniciansPersonal CareComputers & MathLaw EnforcementFacilitiesEngineering7Social ServiceEntertainment8ScienceLegalFire Fighting17.672414%8.752071%17.672414%17.7%4110.775862%12.456286%10.775862%10.8%258.620690%6.529542%8.620690%8.6%208.189655%5.866924%8.189655%8.2%198.189655%4.942021%8.189655%8.2%195.603448%2.471010%5.603448%5.6%135.603448%8.333333%5.603448%5.6%134.741379%8.968342%4.741379%4.7%114.741379%3.690410%4.741379%4.7%114.310345%4.702742%4.310345%4.3%103.879310%3.787042%3.879310%3.9%93.448276%3.428124%3.448276%3.4%82.586207%4.527885%2.586207%2.6%62.155172%3.722621%2.155172%2.2%52.155172%1.688754%2.155172%2.2%51.724138%5.070863%1.724138%1.7%41.293103%0.869685%1.293103%1.3%31.293103%0.570587%1.293103%1.3%31.293103%2.563041%1.293103%1.3%30.862069%1.265415%0.862069%0.9%20.431034%2.494018%0.431034%0.4%10.431034%1.247009%0.431034%0.4%10.000000%0.000000%0.0%0.805264%00.000000%0.000000%0.0%0.768452%00.000000%0.000000%0.0%0.478557%0
Count number of people employed in given occupation
1Construction and extraction 2Education, training, and library 3Farming, fishing, and forestry 4Installation, maintenance, and repair 5Health diagnosing and treating practitioners 6Business and finance 7Engineering and architecture 8Arts, design, entertainment, sports, and media

Relative Occupations#2

Percentage more or less common in the Roseland Township than in Kandiyohi County, among the civilian employed population aged 16 and older.
Scope: population of Kandiyohi County and the Roseland Township
Less Common
More Common
100%0%100%%ref.Farming1Law EnforcementManagementTransportationComputers & MathEducation2Construction3Material MovingHealth TechniciansHealthcare SupportRepair4Food ServiceAdministrativeEngineering5ProductionBusiness6Healthcare7Sales and RelatedFacilitiesEntertainment8Personal CareSocial ServiceScienceLegalFire Fighting126.767482%126.767482%126.8%5.603%5.60%2.471%2.47%126.626808%126.626808%126.6%1.293%1.29%0.571%0.57%101.922659%101.922659%101.9%17.672%17.7%8.752%8.75%65.714699%65.714699%65.7%8.190%8.19%4.942%4.94%48.686371%48.686371%48.7%1.293%1.29%0.870%0.87%39.590264%39.590264%39.6%8.190%8.19%5.867%5.87%32.025953%32.025953%32.0%8.621%8.62%6.530%6.53%28.478373%28.478373%28.5%4.741%4.74%3.690%3.69%27.619092%27.619092%27.6%2.155%2.16%1.689%1.69%2.436418%2.436418%2.4%3.879%3.88%3.787%3.79%0.587827%0.587827%0.6%3.448%3.45%3.428%3.43%-8.344018%-8.344018%8.3%4.310%4.31%4.703%4.70%-13.490567%-13.490567%13.5%10.776%10.8%12.456%12.5%-31.874608%-31.874608%31.9%0.862%0.86%1.265%1.27%-32.758621%-32.758621%32.8%5.603%5.60%8.333%8.33%-42.106048%-42.106048%42.1%2.155%2.16%3.723%3.72%-42.882675%-42.882675%42.9%2.586%2.59%4.528%4.53%-47.132039%-47.132039%47.1%4.741%4.74%8.968%8.97%-49.548072%-49.548072%49.5%1.293%1.29%2.563%2.56%-65.434534%-65.434534%65.4%0.431%0.43%1.247%1.25%-65.999124%-65.999124%66.0%1.724%1.72%5.071%5.07%-82.717267%-82.717267%82.7%0.431%0.43%2.494%2.49%-100.000000%-100.000000%100.0%0.000%0%0.805%0.81%-100.000000%-100.000000%100.0%0.000%0%0.768%0.77%-100.000000%-100.000000%100.0%0.000%0%0.479%0.48%
% percentage of occupation in the Roseland Township
ref. percentage of occupation in Kandiyohi County
1Farming, fishing, and forestry 2Education, training, and library 3Construction and extraction 4Installation, maintenance, and repair 5Engineering and architecture 6Business and finance 7Health diagnosing and treating practitioners 8Arts, design, entertainment, sports, and media

Sex Ratio by Occupation#3

Sex ratio by occupation among the civilian employed population aged 16 and older.
Scope: population of Kandiyohi County and the Roseland Township
Female Male
Kandiyohi County
Roseland Township
2x1x0x1x2xFMFood ServiceAll OccupationsFarming1Business2-1.000000x-1.979592x-1.000000x2.333333x1.000000x2.333333x2.33x37-1.000000x-1.000000x-1.000000x1.829268x1.142139x1.829268x1.83x82150-1.000000x-1.000000x-1.000000x1.600000x10.187500x1.600000x1.60x58-1.000000x-1.000000x-1.000000x1.500000x1.027569x1.500000x1.50x23
F number of females employed in given occupation
M number of males employed in given occupation
1Farming, fishing, and forestry 2Business and finance

Part Timers by Occupation#4

Part time and seasonal workers as a percentage of total workforce within an occupation.
Scope: population of Kandiyohi County and the Roseland Township
Roseland Township
Kandiyohi County
0%50%100%PartFullFacilitiesHealth TechniciansFood ServiceRepair1Farming2ProductionEducation3Healthcare4AdministrativeAll OccupationsConstruction5Healthcare SupportManagementMaterial MovingBusiness6Computers & MathEngineering7Social ServiceEntertainment8Law EnforcementPersonal CareSales and RelatedTransportation100.000000%57.450628%100.000000%100.0%3060.000000%39.509537%60.000000%60.0%3250.000000%64.285714%50.000000%50.0%5550.000000%11.812081%50.000000%50.0%4438.461538%43.575419%38.461538%38.5%5838.461538%16.951960%38.461538%38.5%5836.842105%47.058824%36.842105%36.8%71233.333333%33.841463%33.333333%33.3%2432.000000%32.471371%32.000000%32.0%81721.982759%32.459047%21.982759%22.0%5118115.000000%32.417195%15.000000%15.0%31711.111111%54.191981%11.111111%11.1%189.756098%13.722397%9.756098%9.8%4379.090909%30.798005%9.090909%9.1%1100.000000%0.000000%0.0%15.327565%050.000000%0.000000%0.0%11.640212%030.000000%0.000000%0.0%12.363636%020.000000%0.000000%0.0%28.782288%010.000000%0.000000%0.0%50.922509%010.000000%0.000000%0.000000%0.0%030.000000%0.000000%0.0%45.644283%040.000000%0.000000%0.0%31.298102%0110.000000%0.000000%0.0%33.705773%019
Part number of part time workers employed in given occupation
Full number of full time workers employed in given occupation
1Installation, maintenance, and repair 2Farming, fishing, and forestry 3Education, training, and library 4Health diagnosing and treating practitioners 5Construction and extraction 6Business and finance 7Engineering and architecture 8Arts, design, entertainment, sports, and media

Median Income by Occupation#5

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Kandiyohi County and the Roseland Township
Roseland Township
Kandiyohi County
$0k$20k$40k$60k%CountSales and RelatedConstruction1Material MovingManagementEducation2Healthcare SupportAll OccupationsProductionAdministrativeRepair3TransportationFarming4Personal Care$56,250.000000$41,657.000000$56,250.000000$56.3k4.741%4.74%11$51,250.000000$46,569.000000$51,250.000000$51.3k8.621%8.62%20$45,417.000000$26,632.000000$45,417.000000$45.4k4.741%4.74%11$42,188.000000$60,085.000000$42,188.000000$42.2k17.672%17.7%41$41,250.000000$45,771.000000$41,250.000000$41.3k8.190%8.19%19$41,250.000000$25,967.000000$41,250.000000$41.3k3.879%3.88%9$40,250.000000$39,259.000000$40,250.000000$40.3k100.000%100%232$36,250.000000$30,795.000000$36,250.000000$36.3k5.603%5.60%13$35,750.000000$34,942.000000$35,750.000000$35.8k10.776%10.8%25$34,167.000000$45,614.000000$34,167.000000$34.2k3.448%3.45%8$30,625.000000$48,661.000000$30,625.000000$30.6k8.190%8.19%19$27,500.000000$28,090.000000$27,500.000000$27.5k5.603%5.60%13$21,250.000000$20,517.000000$21,250.000000$21.3k1.724%1.72%4
% percent of the workforce employed in given occupation
Count number of people employed in given occupation
1Construction and extraction 2Education, training, and library 3Installation, maintenance, and repair 4Farming, fishing, and forestry 5Business and finance 6Engineering and architecture 7Arts, design, entertainment, sports, and media 8Health diagnosing and treating practitioners

Map of Occupations by Tract in the Roseland Township

Management Occupations by Tract#6

Percentage of the population aged 16 and older employed with occupation: management (%):
10.0%10.7%11.3%11.9%12.6%13.2%

Business Occupations by Tract#7

Percentage of the population aged 16 and older employed with occupation: business (business and finance) (%):
2.74%2.90%3.05%3.21%3.36%3.52%

Computers & Math Occupations by Tract#8

Percentage of the population aged 16 and older employed with occupation: computers & math (%):
0.59%0.66%0.72%0.79%0.85%0.92%

Engineering Occupations by Tract#9

Percentage of the population aged 16 and older employed with occupation: engineering (engineering and architecture) (%):
0.65%0.76%0.87%0.98%1.08%1.20%

Science Occupations by Tract#10

Percentage of the population aged 16 and older employed with occupation: science (%):
0.58%0.64%0.70%0.75%0.81%0.87%

Social Service Occupations by Tract#11

Percentage of the population aged 16 and older employed with occupation: social service (%):
1.65%1.73%1.80%1.88%1.95%2.03%

Legal Occupations by Tract#12

Percentage of the population aged 16 and older employed with occupation: legal (%):
0.000%0.013%0.026%0.039%0.052%0.066%

Education Occupations by Tract#13

Percentage of the population aged 16 and older employed with occupation: education (education, training, and library) (%):
5.09%5.40%5.71%6.02%6.32%6.63%

Entertainment Occupations by Tract#14

Percentage of the population aged 16 and older employed with occupation: entertainment (arts, design, entertainment, sports, and media) (%):
0.13%0.33%0.53%0.73%0.93%1.13%

Healthcare Occupations by Tract#15

Percentage of the population aged 16 and older employed with occupation: healthcare (health diagnosing and treating practitioners) (%):
2.28%2.60%2.91%3.22%3.53%3.85%

Health Technicians Occupations by Tract#16

Percentage of the population aged 16 and older employed with occupation: health technicians (%):
2.35%2.41%2.47%2.53%2.59%2.66%

Healthcare Support Occupations by Tract#17

Percentage of the population aged 16 and older employed with occupation: healthcare support (%):
2.78%2.85%2.92%3.00%3.07%3.14%

Fire Fighting Occupations by Tract#18

Percentage of the population aged 16 and older employed with occupation: fire fighting (%):
0.066%0.079%0.092%0.105%0.118%0.131%

Law Enforcement Occupations by Tract#19

Percentage of the population aged 16 and older employed with occupation: law enforcement (%):
0.130%0.171%0.211%0.251%0.291%0.332%

Food Service Occupations by Tract#20

Percentage of the population aged 16 and older employed with occupation: food service (%):
2.65%2.84%3.03%3.22%3.41%3.60%

Facilities Occupations by Tract#21

Percentage of the population aged 16 and older employed with occupation: facilities (%):
2.87%3.06%3.24%3.42%3.60%3.78%

Personal Care Occupations by Tract#22

Percentage of the population aged 16 and older employed with occupation: personal care (%):
4.37%4.71%5.06%5.40%5.74%6.08%

Sales and Related Occupations by Tract#23

Percentage of the population aged 16 and older employed with occupation: sales and related (%):
6.86%7.03%7.19%7.36%7.52%7.69%

Administrative Occupations by Tract#24

Percentage of the population aged 16 and older employed with occupation: administrative (%):
10.2%10.9%11.7%12.4%13.2%14.0%

Farming Occupations by Tract#25

Percentage of the population aged 16 and older employed with occupation: farming (farming, fishing, and forestry) (%):
3.79%4.00%4.21%4.42%4.63%4.84%

Construction Occupations by Tract#26

Percentage of the population aged 16 and older employed with occupation: construction (construction and extraction) (%):
6.95%7.40%7.84%8.27%8.71%9.16%

Repair Occupations by Tract#27

Percentage of the population aged 16 and older employed with occupation: repair (installation, maintenance, and repair) (%):
5.0326%5.0334%5.0342%5.0349%5.0357%5.0365%

Production Occupations by Tract#28

Percentage of the population aged 16 and older employed with occupation: production (%):
8.34%8.46%8.57%8.67%8.78%8.89%

Transportation Occupations by Tract#29

Percentage of the population aged 16 and older employed with occupation: transportation (%):
5.10%5.30%5.49%5.69%5.88%6.08%

Material Moving Occupations by Tract#30

Percentage of the population aged 16 and older employed with occupation: material moving (%):
2.58%2.75%2.91%3.07%3.24%3.40%
Road Data ©OpenStreetMap

Loading...

Failed to load :-(

Occupations by County Subdivision in the Willmar Area

There are 36 county subdivisions in the Willmar Area. This section compares the Roseland Township to all of the county subdivisions in the Willmar Area and to those entities that contain or substantially overlap with the Roseland Township.

Management Occupations by County Subdivision#31

Percentage of the civilian employed population aged 16 and older.
Scope: population of the Roseland Township, selected other county subdivisions in the Willmar Area, and entities that contain the Roseland Township
0%5%10%15%20%Count#Mamre TownshipMamreRegalHolland TownshipHollandLake Lillian TownshipLk LillianLake Andrew TownshipLk AndrewKandiyohi TownshipKandiyohiWhitefield TownshipWhitefieldRoseland TownshipRoselandGreen Lake TownshipGrn LkHarrison TownshipHarrisonLake Elizabeth TownshipLk ElizabethNorway Lake TownshipNorway LkRoseville TownshipRosevilleBurbank TownshipBurbankColfax TownshipColfaxEast Lake Lillian TownshipE Lk LillianRaymondSt. Johns TownshipSt. JohnsMinnesotaFahlun TownshipFahlunBlomkestWest North CentralIrving TownshipIrvingWillmar TownshipWillmarUnited States of AmericaUnited StatesMidwestGennessee TownshipGennesseeWillmar Metro AreaWillmar AreaKandiyohi CountyKandiyohiArctander TownshipArctanderDovre TownshipDovreNew London TownshipNew LondonNew LondonSpicerAtwaterSunburgKandiyohiPrinsburgWillmarLake LillianEdwards TownshipEdwardsPennock23.645320%23.645320%23.6%48123.333333%23.333333%23.3%7223.300971%23.300971%23.3%48320.909091%20.909091%20.9%23420.088300%20.088300%20.1%91518.134715%18.134715%18.1%70617.985612%17.985612%18.0%50717.672414%17.672414%17.7%41817.559863%17.559863%17.6%154917.469880%17.469880%17.5%581017.142857%17.142857%17.1%181117.054264%17.054264%17.1%221216.386555%16.386555%16.4%391314.335664%14.335664%14.3%411414.117647%14.117647%14.1%481513.157895%13.157895%13.2%151612.068966%12.068966%12.1%421711.475410%11.475410%11.5%211810.993175%10.993175%11.0%314,893315k10.880829%10.880829%10.9%211910.810811%10.810811%10.8%82010.444668%10.444668%10.4%1,097,0401.10M10.317460%10.317460%10.3%522110.037175%10.037175%10.0%272210.035605%10.035605%10.0%14,852,82814.9M9.823005%9.823005%9.8%3,193,2973.19M9.523810%9.523810%9.5%24238.752071%8.752071%8.8%1,9028.752071%8.752071%8.8%1,9028.571429%8.571429%8.6%18248.333333%8.333333%8.3%95258.063531%8.063531%8.1%132267.917384%7.917384%7.9%46277.307172%7.307172%7.3%54286.666667%6.666667%6.7%41296.382979%6.382979%6.4%3306.115108%6.115108%6.1%17315.905512%5.905512%5.9%15325.155286%5.155286%5.2%493334.878049%4.878049%4.9%6343.906250%3.906250%3.9%5353.272727%3.272727%3.3%936

Management Income by County Subdivision#56

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of the Roseland Township, selected other county subdivisions in the Willmar Area, and entities that contain the Roseland Township
$0k$50k%Count#PrinsburgDovre TownshipDovreColfax TownshipColfaxEdwards TownshipEdwardsGennessee TownshipGennesseeMinnesotaUnited States of AmericaUnited StatesKandiyohi TownshipKandiyohiMidwestIrving TownshipIrvingWillmarWest North CentralWillmar TownshipWillmarLake Andrew TownshipLk AndrewNew London TownshipNew LondonGreen Lake TownshipGrn LkSpicerWillmar Metro AreaWillmar AreaKandiyohi CountyKandiyohiPennockNew LondonLake Lillian TownshipLk LillianLake Elizabeth TownshipLk ElizabethNorway Lake TownshipNorway LkEast Lake Lillian TownshipE Lk LillianRoseville TownshipRosevilleRaymondHolland TownshipHollandWhitefield TownshipWhitefieldKandiyohiBurbank TownshipBurbankMamre TownshipMamreRoseland TownshipRoselandSt. Johns TownshipSt. JohnsHarrison TownshipHarrisonArctander TownshipArctanderRegalFahlun TownshipFahlunAtwater$86,250.000000$86,250.000000$86.3k5.906%5.91%151$82,019.000000$82,019.000000$82.0k8.333%8.33%952$80,156.000000$80,156.000000$80.2k14.118%14.1%483$78,750.000000$78,750.000000$78.8k3.906%3.91%54$75,625.000000$75,625.000000$75.6k9.524%9.52%245$73,329.000000$73,329.000000$73.3k10.993%11.0%314,893315k$72,586.000000$72,586.000000$72.6k10.036%10.0%14,852,82814.9M$68,750.000000$68,750.000000$68.8k18.135%18.1%706$68,390.000000$68,390.000000$68.4k9.823%9.82%3,193,2973.19M$65,833.000000$65,833.000000$65.8k10.317%10.3%527$64,583.000000$64,583.000000$64.6k5.155%5.16%4938$64,181.000000$64,181.000000$64.2k10.445%10.4%1,097,0401.10M$63,750.000000$63,750.000000$63.8k10.037%10.0%279$62,500.000000$62,500.000000$62.5k20.088%20.1%9110$62,273.000000$62,273.000000$62.3k8.064%8.06%13211$61,406.000000$61,406.000000$61.4k17.560%17.6%15412$60,938.000000$60,938.000000$60.9k7.307%7.31%5413$60,085.000000$60,085.000000$60.1k8.752%8.75%1,902$60,085.000000$60,085.000000$60.1k8.752%8.75%1,902$57,500.000000$57,500.000000$57.5k3.273%3.27%914$56,875.000000$56,875.000000$56.9k7.917%7.92%4615$56,250.000000$56,250.000000$56.3k20.909%20.9%2316$55,625.000000$55,625.000000$55.6k17.143%17.1%1817$51,875.000000$51,875.000000$51.9k17.054%17.1%2218$51,750.000000$51,750.000000$51.8k13.158%13.2%1519$51,250.000000$51,250.000000$51.3k16.387%16.4%3920$50,893.000000$50,893.000000$50.9k12.069%12.1%4221$50,833.000000$50,833.000000$50.8k23.301%23.3%4822$49,375.000000$49,375.000000$49.4k17.986%18.0%5023$48,750.000000$48,750.000000$48.8k6.115%6.12%1724$46,250.000000$46,250.000000$46.3k14.336%14.3%4125$44,861.000000$44,861.000000$44.9k23.645%23.6%4826$42,188.000000$42,188.000000$42.2k17.672%17.7%4127$42,083.000000$42,083.000000$42.1k11.475%11.5%2128$41,250.000000$41,250.000000$41.3k17.470%17.5%5829$41,250.000000$41,250.000000$41.3k8.571%8.57%1830$38,750.000000$38,750.000000$38.8k23.333%23.3%731$31,250.000000$31,250.000000$31.3k10.881%10.9%2132$23,125.000000$23,125.000000$23.1k6.667%6.67%4133
% percent of the workforce employed in given occupation
Count number of people employed in given occupation
# rank of county subdivision out of 33 by income in given occupation

Occupations by County Subdivision in Minnesota

There are 2,761 county subdivisions in Minnesota. This section compares the Roseland Township to the 50 most populous county subdivisions in Minnesota and to those entities that contain or substantially overlap with the Roseland Township. The least populous of the compared county subdivisions has a population of 22,226.

Management Occupations by County Subdivision#68

Percentage of the civilian employed population aged 16 and older.
Scope: population of the Roseland Township, selected other county subdivisions in Minnesota, and entities that contain the Roseland Township
0%5%10%15%Count#EdinaChanhassenRoseland TownshipRoselandWoodburyEden PrairieMaple GroveShoreviewPlymouthChaskaMinnetonkaLakevillePrior LakeElk RiverSt. Louis ParkSt. Louis PkEaganRosemountSavageApple ValleyAndoverRamseyChamplinBlaineNew BrightonMinneapolisInver Grove HeightsInver Grv HtsMinnesotaCottage GroveRosevilleFarmingtonWest North CentralBloomingtonShakopeeBurnsvilleCoon RapidsUnited States of AmericaUnited StatesHastingsMaplewoodMidwestWhite Bear LakeWhite Bear LkRichfieldOakdaleBrooklyn ParkOwatonnaMoorheadWillmar Metro AreaWillmar AreaKandiyohi CountyKandiyohiSt. PaulRochesterWinonaDuluthFridleyCrystalAustinSt. CloudFaribaultBrooklyn CenterBrooklyn CtrMankato18.469927%18.469927%18.5%4,505117.792578%17.792578%17.8%2,431217.672414%17.672414%17.7%4117.221862%17.221862%17.2%6,116317.138178%17.138178%17.1%6,070416.458441%16.458441%16.5%6,073516.303815%16.303815%16.3%2,329616.172747%16.172747%16.2%6,707714.758824%14.758824%14.8%2,099814.627236%14.627236%14.6%4,130913.891897%13.891897%13.9%4,7471013.669998%13.669998%13.7%1,7921113.268378%13.268378%13.3%1,6751213.246062%13.246062%13.2%3,8351313.154209%13.154209%13.2%5,0721412.749254%12.749254%12.7%1,6241512.227746%12.227746%12.2%2,0661612.042950%12.042950%12.0%3,4321711.758421%11.758421%11.8%2,0911811.548755%11.548755%11.5%1,6831911.387435%11.387435%11.4%1,5662011.378219%11.378219%11.4%3,8482111.278329%11.278329%11.3%1,2742211.090883%11.090883%11.1%25,34325.3k2311.054040%11.054040%11.1%2,0662410.993175%10.993175%11.0%314,893315k10.891663%10.891663%10.9%2,0682510.694153%10.694153%10.7%1,9352610.578698%10.578698%10.6%1,3182710.444668%10.444668%10.4%1,097,0401.10M10.340730%10.340730%10.3%4,7862810.109559%10.109559%10.1%2,1502910.072941%10.072941%10.1%3,4113010.045147%10.045147%10.0%3,3823110.035605%10.035605%10.0%14,852,82814.9M9.898695%9.898695%9.9%1,153329.871795%9.871795%9.9%2,002339.823005%9.823005%9.8%3,193,2973.19M9.654076%9.654076%9.7%1,214349.395904%9.395904%9.4%1,812359.273561%9.273561%9.3%1,477369.020327%9.020327%9.0%3,590379.011650%9.011650%9.0%1,168388.903480%8.903480%8.9%2,034398.752071%8.752071%8.8%1,9028.752071%8.752071%8.8%1,9028.615624%8.615624%8.6%12,87212.9k408.361249%8.361249%8.4%4,942418.045677%8.045677%8.0%1,233427.851661%7.851661%7.9%3,540437.689093%7.689093%7.7%1,104447.632063%7.632063%7.6%955456.800274%6.800274%6.8%794466.589174%6.589174%6.6%1,933476.547956%6.547956%6.5%695485.709011%5.709011%5.7%835495.487337%5.487337%5.5%1,28750

Management Income by County Subdivision#93

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of the Roseland Township, selected other county subdivisions in Minnesota, and entities that contain the Roseland Township
$0k$50k$100k%Count#EdinaChanhassenSavageEden PrairiePlymouthWoodburyMinnetonkaMaple GroveShoreviewPrior LakeChaskaElk RiverInver Grove HeightsInver Grv HtsCottage GroveLakevilleEaganRosemountNew BrightonAndoverApple ValleyFarmingtonBlaineChamplinBloomingtonShakopeeSt. Louis ParkSt. Louis PkMinnesotaBurnsvilleMaplewoodRamseyUnited States of AmericaUnited StatesWhite Bear LakeWhite Bear LkRosevilleRochesterOakdaleHastingsMinneapolisCoon RapidsMidwestMankatoDuluthSt. PaulOwatonnaWest North CentralBrooklyn ParkFridleyMoorheadFaribaultRichfieldWillmar Metro AreaWillmar AreaKandiyohi CountyKandiyohiCrystalAustinSt. CloudBrooklyn CenterBrooklyn CtrWinonaRoseland TownshipRoseland$120,369.000000$120,369.000000$120.4k18.470%18.5%4,5051$108,417.000000$108,417.000000$108.4k17.793%17.8%2,4312$106,108.000000$106,108.000000$106.1k12.228%12.2%2,0663$105,758.000000$105,758.000000$105.8k17.138%17.1%6,0704$103,655.000000$103,655.000000$103.7k16.173%16.2%6,7075$102,149.000000$102,149.000000$102.1k17.222%17.2%6,1166$101,377.000000$101,377.000000$101.4k14.627%14.6%4,1307$100,320.000000$100,320.000000$100.3k16.458%16.5%6,0738$97,930.000000$97,930.000000$97.9k16.304%16.3%2,3299$93,516.000000$93,516.000000$93.5k13.670%13.7%1,79210$91,736.000000$91,736.000000$91.7k14.759%14.8%2,09911$87,924.000000$87,924.000000$87.9k13.268%13.3%1,67512$87,788.000000$87,788.000000$87.8k11.054%11.1%2,06613$87,287.000000$87,287.000000$87.3k10.892%10.9%2,06814$85,395.000000$85,395.000000$85.4k13.892%13.9%4,74715$84,927.000000$84,927.000000$84.9k13.154%13.2%5,07216$84,667.000000$84,667.000000$84.7k12.749%12.7%1,62417$82,070.000000$82,070.000000$82.1k11.278%11.3%1,27418$82,048.000000$82,048.000000$82.0k11.758%11.8%2,09119$81,408.000000$81,408.000000$81.4k12.043%12.0%3,43220$79,391.000000$79,391.000000$79.4k10.579%10.6%1,31821$79,276.000000$79,276.000000$79.3k11.378%11.4%3,84822$78,426.000000$78,426.000000$78.4k11.387%11.4%1,56623$78,125.000000$78,125.000000$78.1k10.341%10.3%4,78624$77,185.000000$77,185.000000$77.2k10.110%10.1%2,15025$75,052.000000$75,052.000000$75.1k13.246%13.2%3,83526$73,329.000000$73,329.000000$73.3k10.993%11.0%314,893315k$73,145.000000$73,145.000000$73.1k10.073%10.1%3,41127$73,125.000000$73,125.000000$73.1k9.872%9.87%2,00228$72,857.000000$72,857.000000$72.9k11.549%11.5%1,68329$72,586.000000$72,586.000000$72.6k10.036%10.0%14,852,82814.9M$72,472.000000$72,472.000000$72.5k9.654%9.65%1,21430$70,969.000000$70,969.000000$71.0k10.694%10.7%1,93531$70,457.000000$70,457.000000$70.5k8.361%8.36%4,94232$69,360.000000$69,360.000000$69.4k9.274%9.27%1,47733$68,977.000000$68,977.000000$69.0k9.899%9.90%1,15334$68,933.000000$68,933.000000$68.9k11.091%11.1%25,34325.3k35$68,482.000000$68,482.000000$68.5k10.045%10.0%3,38236$68,390.000000$68,390.000000$68.4k9.823%9.82%3,193,2973.19M$68,281.000000$68,281.000000$68.3k5.487%5.49%1,28737$67,770.000000$67,770.000000$67.8k7.852%7.85%3,54038$67,483.000000$67,483.000000$67.5k8.616%8.62%12,87212.9k39$67,216.000000$67,216.000000$67.2k9.012%9.01%1,16840$64,181.000000$64,181.000000$64.2k10.445%10.4%1,097,0401.10M$63,246.000000$63,246.000000$63.2k9.020%9.02%3,59041$62,132.000000$62,132.000000$62.1k7.689%7.69%1,10442$62,105.000000$62,105.000000$62.1k8.903%8.90%2,03443$60,779.000000$60,779.000000$60.8k6.548%6.55%69544$60,108.000000$60,108.000000$60.1k9.396%9.40%1,81245$60,085.000000$60,085.000000$60.1k8.752%8.75%1,902$60,085.000000$60,085.000000$60.1k8.752%8.75%1,902$59,676.000000$59,676.000000$59.7k7.632%7.63%95546$56,440.000000$56,440.000000$56.4k6.800%6.80%79447$56,189.000000$56,189.000000$56.2k6.589%6.59%1,93348$55,262.000000$55,262.000000$55.3k5.709%5.71%83549$54,120.000000$54,120.000000$54.1k8.046%8.05%1,23350$42,188.000000$42,188.000000$42.2k17.672%17.7%41
% percent of the workforce employed in given occupation
Count number of people employed in given occupation
# rank of county subdivision out of 50 by income in given occupation

Occupations by County Subdivision in the Midwest

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

Management Occupations by County Subdivision#105

Percentage of the civilian employed population aged 16 and older.
Scope: population of the Roseland Township, selected other county subdivisions in the Midwest, and entities that contain the Roseland Township
0%5%10%15%Count#Roseland TownshipRoselandOverland ParkPalatine TownshipPalatineYork TownshipLisle TownshipLisleMilton TownshipMiltonDowners Grove TownshipDowners GrvWheeling TownshipWheelingOlatheWashington TownshipWashingtonSchaumburg TownshipSchaumburgMinneapolisMinnesotaBloomingdale TownshipBloomingdaleWest North CentralMaine TownshipMaineLawrence TownshipLawrenceAnn ArborMadisonUnited States of AmericaUnited StatesKaw TownshipMidwestChicagoCapital TownshipCapitalCedar RapidsOmahaLincolnColumbusFargoWichitaWillmar Metro AreaWillmar AreaKandiyohi CountyKandiyohiSt. PaulSt. LouisSterling HeightsSterling HtsCincinnatiSioux FallsProviso TownshipProvisoWorth TownshipWorthNorth TownshipNTopekaGrand RapidsSpringfield TownshipSpringfieldCenter TownshipCtrAkronRockford TownshipRockfordMilwaukeeDaytonToledoClevelandThornton TownshipThorntonWayne TownshipWayneBlue TownshipWarrenKansas CityAurora TownshipAuroraDetroit17.672414%17.672414%17.7%4114.855423%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%10,06110.1k612.498298%12.498298%12.5%10,09810.1k712.497347%12.497347%12.5%8,834811.822686%11.822686%11.8%8,852911.215342%11.215342%11.2%8,0821011.090883%11.090883%11.1%25,34325.3k1110.993175%10.993175%11.0%314,893315k10.703868%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%16,19216.2k258.752071%8.752071%8.8%1,9028.752071%8.752071%8.8%1,9028.615624%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

Management Income by County Subdivision#130

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of the Roseland Township, selected other county subdivisions in the Midwest, and entities that contain the Roseland Township
$0k$50k$100k%Count#Downers Grove TownshipDowners GrvMilton TownshipMiltonLisle TownshipLislePalatine TownshipPalatineYork TownshipWheeling TownshipWheelingOverland ParkMaine TownshipMaineSchaumburg TownshipSchaumburgAnn ArborCapital TownshipCapitalOlatheBloomingdale TownshipBloomingdaleChicagoSterling HeightsSterling HtsMinnesotaUnited States of AmericaUnited StatesMinneapolisMadisonMidwestLawrence TownshipLawrenceWorth TownshipWorthProviso TownshipProvisoSt. PaulRockford TownshipRockfordNorth TownshipNWashington TownshipWashingtonOmahaCedar RapidsWest North CentralKaw TownshipWichitaThornton TownshipThorntonCincinnatiLincolnAurora TownshipAuroraSt. LouisFargoWillmar Metro AreaWillmar AreaKandiyohi CountyKandiyohiColumbusSioux FallsTopekaWarrenCenter TownshipCtrMilwaukeeClevelandGrand RapidsAkronDetroitDaytonKansas CityToledoWayne TownshipWayneSpringfield TownshipSpringfieldBlue TownshipRoseland TownshipRoseland$107,431.000000$107,431.000000$107.4k13.533%13.5%10,06110.1k1$102,402.000000$102,402.000000$102.4k13.607%13.6%8,2012$102,147.000000$102,147.000000$102.1k13.857%13.9%8,8013$98,054.000000$98,054.000000$98.1k14.280%14.3%8,6884$94,241.000000$94,241.000000$94.2k13.861%13.9%8,6205$89,147.000000$89,147.000000$89.1k12.498%12.5%10,09810.1k6$85,786.000000$85,786.000000$85.8k14.855%14.9%14,75514.8k7$85,408.000000$85,408.000000$85.4k10.231%10.2%6,9418$83,268.000000$83,268.000000$83.3k11.215%11.2%8,0829$82,929.000000$82,929.000000$82.9k10.164%10.2%6,06510$80,069.000000$80,069.000000$80.1k9.490%9.49%5,16511$79,184.000000$79,184.000000$79.2k12.497%12.5%8,83412$76,518.000000$76,518.000000$76.5k10.704%10.7%6,49513$76,205.000000$76,205.000000$76.2k9.686%9.69%125,034125k14$74,123.000000$74,123.000000$74.1k8.523%8.52%5,42215$73,329.000000$73,329.000000$73.3k10.993%11.0%314,893315k$72,586.000000$72,586.000000$72.6k10.036%10.0%14,852,82814.9M$68,933.000000$68,933.000000$68.9k11.091%11.1%25,34325.3k16$68,816.000000$68,816.000000$68.8k10.142%10.1%14,53314.5k17$68,390.000000$68,390.000000$68.4k9.823%9.82%3,193,2973.19M$68,214.000000$68,214.000000$68.2k10.179%10.2%6,19518$67,826.000000$67,826.000000$67.8k7.841%7.84%5,51219$67,525.000000$67,525.000000$67.5k7.865%7.86%5,68720$67,483.000000$67,483.000000$67.5k8.616%8.62%12,87212.9k21$67,330.000000$67,330.000000$67.3k6.846%6.85%5,10822$67,213.000000$67,213.000000$67.2k7.755%7.76%5,21323$66,973.000000$66,973.000000$67.0k11.823%11.8%8,85224$66,221.000000$66,221.000000$66.2k9.256%9.26%20,95421.0k25$65,182.000000$65,182.000000$65.2k9.454%9.45%6,57326$64,181.000000$64,181.000000$64.2k10.445%10.4%1,097,0401.10M$63,972.000000$63,972.000000$64.0k9.831%9.83%8,82827$63,127.000000$63,127.000000$63.1k8.829%8.83%16,19216.2k28$61,967.000000$61,967.000000$62.0k6.214%6.21%4,26029$61,453.000000$61,453.000000$61.5k8.481%8.48%11,70211.7k30$60,380.000000$60,380.000000$60.4k8.953%8.95%13,25513.3k31$60,369.000000$60,369.000000$60.4k5.278%5.28%3,61832$60,259.000000$60,259.000000$60.3k8.539%8.54%12,73712.7k33$60,124.000000$60,124.000000$60.1k8.849%8.85%6,00634$60,085.000000$60,085.000000$60.1k8.752%8.75%1,902$60,085.000000$60,085.000000$60.1k8.752%8.75%1,902$59,412.000000$59,412.000000$59.4k8.939%8.94%37,82837.8k35$57,952.000000$57,952.000000$58.0k8.152%8.15%6,43236$56,544.000000$56,544.000000$56.5k7.657%7.66%4,52137$56,017.000000$56,017.000000$56.0k5.821%5.82%3,39538$56,000.000000$56,000.000000$56.0k7.037%7.04%4,30539$55,511.000000$55,511.000000$55.5k6.680%6.68%17,83717.8k40$53,526.000000$53,526.000000$53.5k6.288%6.29%9,40941$52,944.000000$52,944.000000$52.9k7.354%7.35%6,89242$50,302.000000$50,302.000000$50.3k6.885%6.88%6,11043$50,261.000000$50,261.000000$50.3k5.000%5.00%11,05911.1k44$49,874.000000$49,874.000000$49.9k6.420%6.42%3,54845$49,737.000000$49,737.000000$49.7k5.284%5.28%3,52446$48,263.000000$48,263.000000$48.3k6.341%6.34%7,66447$47,046.000000$47,046.000000$47.0k6.096%6.10%3,83048$46,956.000000$46,956.000000$47.0k7.130%7.13%5,66349$44,107.000000$44,107.000000$44.1k6.011%6.01%4,21150$42,188.000000$42,188.000000$42.2k17.672%17.7%41
% percent of the workforce employed in given occupation
Count number of people employed in given occupation
# rank of county subdivision out of 50 by income in given occupation

Occupations by County Subdivision in the United States

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

Management Occupations by County Subdivision#142

Percentage of the civilian employed population aged 16 and older.
Scope: population of the Roseland Township, selected other county subdivisions in the United States, and entities that contain the Roseland Township
0%5%10%15%Count#Roseland TownshipRoselandManhattanWashingtonSeattle EastPlanoSan FranciscoAtlantaNortheast TarrantNE TarrantNorthwest HarrisNW HarrisSan JoseSeattleDenverAustinTownship 1:Charlotte1, CharlotteMinnesotaSan 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 VlyHoustonWillmar Metro AreaWillmar AreaKandiyohi CountyKandiyohiFort WorthTucsonBaltimoreQueensFresnoSouthwest DallasSW DallasPhiladelphiaLas VegasEl PasoMilwaukeeSan Antonio CentralSan Antonio CntrlBronxSan BernardinoDetroit17.672414%17.672414%17.7%4116.529703%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%40,10340.1k712.957054%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%45,08245.1k1111.961508%11.961508%12.0%56,55756.6k1211.663665%11.663665%11.7%48,44248.4k1310.993175%10.993175%11.0%314,893315k10.848509%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%139,658140k368.752071%8.752071%8.8%1,9028.752071%8.752071%8.8%1,9028.691664%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

Management Income by County Subdivision#167

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of the Roseland Township, selected other county subdivisions in the United States, and entities that contain the Roseland Township
$0k$50k$100k%Count#San JoseManhattanSeattle EastSan FranciscoTown of HempsteadHempsteadPlanoWashingtonNortheast TarrantNE TarrantNorthwest HarrisNW HarrisSeattleAtlantaOceanside-EscondidoOceanside-Escond…BostonTownship 1:Charlotte1, CharlotteOntarioSan DiegoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…ChicagoBrooklynHoustonSan Fernando ValleySan Fernando VlyLos AngelesNortheast DallasNE DallasMinnesotaLong Beach-LakewoodLong Bch-LakewoodUnited States of AmericaUnited StatesDenverSacramentoFresnoSalt Lake CitySalt Lk CityMidwestAustinQueensFort WorthBaltimoreSouthwest DallasSW DallasPhoenixTulsaTampaEast San Gabriel ValleyE San Gabriel VlyWest North CentralTucsonAlbuquerqueMiamiLas VegasPhiladelphiaSan BernardinoWillmar Metro AreaWillmar AreaKandiyohi CountyKandiyohiColumbusOrlandoBronxMilwaukeeEl PasoDetroitSan Antonio CentralSan Antonio CntrlRoseland TownshipRoseland$121,475.000000$121,475.000000$121.5k12.911%12.9%113,179113k1$110,093.000000$110,093.000000$110.1k16.530%16.5%147,580148k2$107,201.000000$107,201.000000$107.2k15.623%15.6%47,46747.5k3$103,121.000000$103,121.000000$103.1k14.223%14.2%69,48869.5k4$95,504.000000$95,504.000000$95.5k9.718%9.72%37,03437.0k5$93,520.000000$93,520.000000$93.5k15.501%15.5%44,83544.8k6$91,833.000000$91,833.000000$91.8k16.121%16.1%56,13856.1k7$88,013.000000$88,013.000000$88.0k13.543%13.5%40,10340.1k8$86,256.000000$86,256.000000$86.3k12.957%13.0%47,46747.5k9$84,827.000000$84,827.000000$84.8k12.801%12.8%74,54274.5k10$83,822.000000$83,822.000000$83.8k13.662%13.7%38,89338.9k11$83,730.000000$83,730.000000$83.7k10.133%10.1%30,64130.6k12$81,070.000000$81,070.000000$81.1k10.836%10.8%38,39738.4k13$78,952.000000$78,952.000000$79.0k11.664%11.7%48,44248.4k14$77,318.000000$77,318.000000$77.3k9.542%9.54%28,47428.5k15$77,183.000000$77,183.000000$77.2k10.849%10.8%121,208121k16$76,982.000000$76,982.000000$77.0k9.322%9.32%75,84275.8k17$76,205.000000$76,205.000000$76.2k9.686%9.69%125,034125k18$75,289.000000$75,289.000000$75.3k9.054%9.05%107,970108k19$75,216.000000$75,216.000000$75.2k8.761%8.76%139,658140k20$74,051.000000$74,051.000000$74.1k9.796%9.80%88,35688.4k21$73,486.000000$73,486.000000$73.5k9.639%9.64%120,847121k22$73,381.000000$73,381.000000$73.4k10.008%10.0%77,27077.3k23$73,329.000000$73,329.000000$73.3k10.993%11.0%314,893315k$73,132.000000$73,132.000000$73.1k9.158%9.16%25,00025.0k24$72,586.000000$72,586.000000$72.6k10.036%10.0%14,852,82814.9M$71,368.000000$71,368.000000$71.4k12.512%12.5%45,08245.1k25$70,450.000000$70,450.000000$70.5k8.891%8.89%43,38143.4k26$69,746.000000$69,746.000000$69.7k7.734%7.73%21,61221.6k27$69,155.000000$69,155.000000$69.2k10.525%10.5%52,53752.5k28$68,390.000000$68,390.000000$68.4k9.823%9.82%3,193,2973.19M$68,333.000000$68,333.000000$68.3k11.962%12.0%56,55756.6k29$68,144.000000$68,144.000000$68.1k7.883%7.88%88,33388.3k30$67,702.000000$67,702.000000$67.7k8.692%8.69%33,63533.6k31$67,413.000000$67,413.000000$67.4k8.535%8.53%23,46323.5k32$66,772.000000$66,772.000000$66.8k7.611%7.61%34,04434.0k33$66,764.000000$66,764.000000$66.8k9.254%9.25%135,932136k34$66,751.000000$66,751.000000$66.8k9.594%9.59%27,52527.5k35$65,992.000000$65,992.000000$66.0k10.029%10.0%32,16632.2k36$64,331.000000$64,331.000000$64.3k8.784%8.78%38,22338.2k37$64,181.000000$64,181.000000$64.2k10.445%10.4%1,097,0401.10M$63,298.000000$63,298.000000$63.3k8.648%8.65%33,07833.1k38$62,324.000000$62,324.000000$62.3k8.958%8.96%26,64126.6k39$62,119.000000$62,119.000000$62.1k9.095%9.10%40,03440.0k40$61,788.000000$61,788.000000$61.8k7.324%7.32%63,32763.3k41$60,825.000000$60,825.000000$60.8k7.552%7.55%49,46249.5k42$60,105.000000$60,105.000000$60.1k5.217%5.22%17,47517.5k43$60,085.000000$60,085.000000$60.1k8.752%8.75%1,902$60,085.000000$60,085.000000$60.1k8.752%8.75%1,902$59,412.000000$59,412.000000$59.4k8.939%8.94%37,82837.8k44$58,762.000000$58,762.000000$58.8k8.790%8.79%25,48525.5k45$57,795.000000$57,795.000000$57.8k5.788%5.79%33,33633.3k46$55,511.000000$55,511.000000$55.5k6.680%6.68%17,83717.8k47$51,466.000000$51,466.000000$51.5k7.319%7.32%16,39616.4k48$50,261.000000$50,261.000000$50.3k5.000%5.00%11,05911.1k49$46,393.000000$46,393.000000$46.4k6.158%6.16%17,49217.5k50$42,188.000000$42,188.000000$42.2k17.672%17.7%41
% percent of the workforce employed in given occupation
Count number of people employed in given occupation
# rank of county subdivision out of 50 by income in given occupation

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.

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Minnesota
County:
Kandiyohi
Metro Area:
Willmar Area
ZIP Codes:
56216, 56253, 56282
Unified School Districts:
Bird Island-Olivia-Lake Lillian, Renville County West, Willmar
Congressional District:
MN-7
State Senate District:
MN-17
State House District:
MN-17A
Neighboring Cities:
Blomkest
Neighboring Townships:
Crooks, Edwards, Fahlun, Holland, Lake Lillian, Whitefield, Winfield
Nearby Townships:
East Lake Lillian, Kingman, Rheiderland, Willmar