Sectors in Morgan Park, Duluth, Minnesota (Neighborhood)

Workers by Sector#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Duluth and Morgan Park
Morgan Park
Duluth
0%20%40%60%CountPrivateNon-ProfitLocal GovernmentSelf-Employed1Sole Proprietor2State GovernmentFederal GovernmentUnpaid Family72.139831%64.447944%72.139831%72.1%55613.347458%16.064854%13.347458%13.3%1021037.203390%6.629552%7.203390%7.2%55562.648305%1.907466%2.648305%2.6%202.542373%3.910305%2.542373%2.5%19201.694915%5.462893%1.694915%1.7%130.423729%1.565896%0.423729%0.4%30.000000%0.000000%0.0%0.011090%0

Relative Workers by Sector#2

Percentage more or less common in Morgan Park than in Duluth, among the civilian employed population aged 16 and older.
Scope: population of Duluth and Morgan Park
Less Common
More Common
100%50%0%%ref.Self-Employed1PrivateLocal GovernmentNon-ProfitSole Proprietor2State GovernmentFederal GovernmentUnpaid Family38.838934%38.838934%38.8%2.648%2.65%1.907%1.91%11.935038%11.935038%11.9%72.140%72.1%64.448%64.4%8.655749%8.655749%8.7%7.203%7.20%6.630%6.63%-16.915163%-16.915163%16.9%13.347%13.3%16.065%16.1%-34.982743%-34.982743%35.0%2.542%2.54%3.910%3.91%-68.974036%-68.974036%69.0%1.695%1.69%5.463%5.46%-72.940174%-72.940174%72.9%0.424%0.42%1.566%1.57%-100.000000%-100.000000%100.0%0.000%0%0.011%0.01%

Part Timers by Sector#3

Part time and seasonal workers as a percentage of total workforce within a sector.
Scope: population of Duluth and Morgan Park
Morgan Park
Duluth
0%50%100%PartFullSelf-Employed1Federal GovernmentSole Proprietor2PrivateAll SectorsLocal GovernmentNon-ProfitState Government100.000000%30.813953%100.000000%100.0%200100.000000%16.572238%100.000000%100.0%3062.500000%50.482133%62.500000%62.5%12744.199706%45.937296%44.199706%44.2%24524631042.478814%44.233243%42.478814%42.5%32744332.352941%37.504182%32.352941%32.4%1718373826.984127%43.586912%26.984127%27.0%2728750.000000%0.000000%0.0%42.224929%013

Median Income by Sector#4

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Duluth and Morgan Park
Morgan Park
Duluth
$0k$20k$40k%CountLocal GovernmentAll SectorsNon-ProfitPrivate$49,375.000000$50,109.000000$49,375.000000$49.4k7.203%7.20%5556$34,153.000000$42,740.000000$34,153.000000$34.2k100.000%100%770771$33,452.000000$45,739.000000$33,452.000000$33.5k13.347%13.3%102103$30,441.000000$39,475.000000$30,441.000000$30.4k72.140%72.1%556

Sectors by Neighborhood in Duluth

There are 30 neighborhoods in Duluth. This section compares Morgan Park to all of the neighborhoods in Duluth and to those entities that contain or substantially overlap with Morgan Park.

Private Sector by Neighborhood#5

Percentage of the civilian employed population aged 16 and older.
Scope: population of Morgan Park, selected other neighborhoods in Duluth, and entities that contain Morgan Park
0%20%40%60%Count#Cody NeighborhoodCodyDenfeld NeighborhoodDenfeldSpirit Valley NeighborhoodSpirit ValleyNorton Park NeighborhoodNorton ParkFairmount NeighborhoodFairmountRiverside NeighborhoodRiversideMorgan Park NeighborhoodMorgan ParkSmithville NeighborhoodSmithvilleIrving NeighborhoodIrvingCentral Hillside NeighborhoodCntrl HillsideEast Hillside NeighborhoodEast HillsideMidwestLincoln Park NeighborhoodLincoln ParkBayview Heights NeighborhoodBayview HtsUnited States of AmericaUnited StatesEndion NeighborhoodEndionMinnesotaZIP Code 55808ZIP 55808West North CentralDuluth Heights NeighborhoodDuluth HtsSt. Louis CountySt. LouisDuluth Metro AreaDuluth AreaGary NeighborhoodGaryNew Duluth NeighborhoodNew DuluthFond du Lac NeighborhoodFond du LacDuluthDuluth Public School DistrictDuluthPiedmont Heights NeighborhoodPiedmont HtsChester Park/UMD NeighborhoodChester Pk/UMDCentral Business District NeighborhoodCntrl Business DistNorth Shore NeighborhoodNorth ShoreKenwood NeighborhoodKenwoodLakeside/Lester Park NeighborhoodLakeside/Lester PkWoodland NeighborhoodWoodlandMorley Heights/Parkview NeighborhoodMorley Hts/ParkviewHunters Park NeighborhoodHunters ParkPark Point NeighborhoodPark PointCongdon Park NeighborhoodCongdon Park76.189559%76.189559%76.2%1,2551,256176.153447%76.153447%76.2%1,122275.310789%75.310789%75.3%283373.738243%73.738243%73.7%341342473.501805%73.501805%73.5%460461573.374432%73.374432%73.4%236672.139831%72.139831%72.1%556771.932993%71.932993%71.9%198871.688312%71.688312%71.7%455456970.549509%70.549509%70.5%1,9721070.304245%70.304245%70.3%2,8132,8141169.717832%69.717832%69.7%22,664,11922.7M69.534836%69.534836%69.5%2,1961269.045014%69.045014%69.0%6051368.253043%68.253043%68.3%101,015,409101M67.837827%67.837827%67.8%2,0761467.425616%67.425616%67.4%1,931,3671.93M67.166845%67.166845%67.2%1,88067.077913%67.077913%67.1%7,045,4287.05M66.368425%66.368425%66.4%1,7081564.730508%64.730508%64.7%63,08763.1k64.717062%64.717062%64.7%87,85687.9k64.605386%64.605386%64.6%5075081664.546104%64.546104%64.5%3461764.546104%64.546104%64.5%911864.447944%64.447944%64.4%29,05729.1k64.287024%64.287024%64.3%31,56331.6k64.186691%64.186691%64.2%1,3841964.116821%64.116821%64.1%2,3562060.869565%60.869565%60.9%3113122158.556150%58.556150%58.6%1331342257.974993%57.974993%58.0%2,0322,0332357.581653%57.581653%57.6%2,5992,6002456.586459%56.586459%56.6%1,1632550.841350%50.841350%50.8%4614622648.442714%48.442714%48.4%3882747.024952%47.024952%47.0%2682846.462415%46.462415%46.5%68568629

Private Income by Neighborhood#13

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of Morgan Park, selected other neighborhoods in Duluth, and entities that contain Morgan Park
$0k$50k%Count#Congdon Park NeighborhoodCongdon ParkHunters Park NeighborhoodHunters ParkMorley Heights/Parkview NeighborhoodMorley Hts/ParkviewWoodland NeighborhoodWoodlandPiedmont Heights NeighborhoodPiedmont HtsLakeside/Lester Park NeighborhoodLakeside/Lester PkPark Point NeighborhoodPark PointMinnesotaDuluth Heights NeighborhoodDuluth HtsChester Park/UMD NeighborhoodChester Pk/UMDMidwestUnited States of AmericaUnited StatesNorth Shore NeighborhoodNorth ShoreSt. Louis CountySt. LouisWest North CentralBayview Heights NeighborhoodBayview HtsDuluth Metro AreaDuluth AreaKenwood NeighborhoodKenwoodIrving NeighborhoodIrvingRiverside NeighborhoodRiversideDuluth Public School DistrictDuluthNorton Park NeighborhoodNorton ParkDuluthCody NeighborhoodCodySmithville NeighborhoodSmithvilleEast Hillside NeighborhoodEast HillsideFairmount NeighborhoodFairmountLincoln Park NeighborhoodLincoln ParkEndion NeighborhoodEndionSpirit Valley NeighborhoodSpirit ValleyZIP Code 55808ZIP 55808Fond du Lac NeighborhoodFond du LacNew Duluth NeighborhoodNew DuluthGary NeighborhoodGaryMorgan Park NeighborhoodMorgan ParkDenfeld NeighborhoodDenfeldCentral Hillside NeighborhoodCntrl HillsideCentral Business District NeighborhoodCntrl Business Dist$94,287.029386$94,287.029386$94.3k46.462%46.5%6856861$70,417.000000$70,417.000000$70.4k48.443%48.4%3882$66,424.547630$66,424.547630$66.4k50.841%50.8%4614623$52,577.371563$52,577.371563$52.6k56.586%56.6%1,1634$50,179.000000$50,179.000000$50.2k64.187%64.2%1,3845$47,711.289132$47,711.289132$47.7k57.582%57.6%2,5992,6006$47,500.000000$47,500.000000$47.5k47.025%47.0%2687$47,189.000000$47,189.000000$47.2k67.426%67.4%1,931,3671.93M$45,856.035633$45,856.035633$45.9k66.368%66.4%1,7088$45,016.343354$45,016.343354$45.0k64.117%64.1%2,3569$42,254.000000$42,254.000000$42.3k69.718%69.7%22,664,11922.7M$42,182.000000$42,182.000000$42.2k68.253%68.3%101,015,409101M$42,147.000000$42,147.000000$42.1k58.556%58.6%13313410$41,857.000000$41,857.000000$41.9k64.731%64.7%63,08763.1k$41,854.000000$41,854.000000$41.9k67.078%67.1%7,045,4287.05M$41,689.223814$41,689.223814$41.7k69.045%69.0%60511$41,645.000000$41,645.000000$41.6k64.717%64.7%87,85687.9k$41,517.122534$41,517.122534$41.5k57.975%58.0%2,0322,03312$41,019.000000$41,019.000000$41.0k71.688%71.7%45545613$40,800.933565$40,800.933565$40.8k73.374%73.4%23614$40,542.000000$40,542.000000$40.5k64.287%64.3%31,56331.6k$40,424.578308$40,424.578308$40.4k73.738%73.7%34134215$39,475.000000$39,475.000000$39.5k64.448%64.4%29,05729.1k$38,271.676890$38,271.676890$38.3k76.190%76.2%1,2551,25616$38,153.364729$38,153.364729$38.2k71.933%71.9%19817$35,211.021899$35,211.021899$35.2k70.304%70.3%2,8132,81418$34,717.000000$34,717.000000$34.7k73.502%73.5%46046119$33,898.723173$33,898.723173$33.9k69.535%69.5%2,19620$32,823.998895$32,823.998895$32.8k67.838%67.8%2,07621$32,803.638904$32,803.638904$32.8k75.311%75.3%28322$31,712.000000$31,712.000000$31.7k67.167%67.2%1,880$31,130.000000$31,130.000000$31.1k64.546%64.5%9123$31,130.000000$31,130.000000$31.1k64.546%64.5%34624$31,122.058568$31,122.058568$31.1k64.605%64.6%50750825$30,441.000000$30,441.000000$30.4k72.140%72.1%55626$30,422.000000$30,422.000000$30.4k76.153%76.2%1,12227$30,102.480440$30,102.480440$30.1k70.550%70.5%1,97228$20,313.000000$20,313.000000$20.3k60.870%60.9%31131229

Definitions

A sector describes the organizational category of a person’s employing organization. On this page, all employed persons are categorized as working in one of the following sectors (bolded terms are used in the charts and maps on this page):

  • Private for-profit wage and salary workers:
    • Private: Employee of private company workers
    • Self-Employed: Self-employed in own incorporated business workers
  • Non-Profit: Private not-for-profit wage and salary workers
  • Local Government: Local government workers
  • State Government: State government workers
  • Federal Government: Federal government workers
  • Sole Proprietor: Self-employed in own not incorporated business workers
  • Unpaid Family: Unpaid family workers

Unlike the other geographical entities detailed on this site, neighborhoods are not recognized by the U.S. Census Bureau. To overcome this we have computed reasonable estimates of the same statistics that are presented for other the entity types. Each statistic is computed as the weighted sum or average of the census tracts or block groups that overlap the neighborhood. A weighted sum is used for counts of people or households, and a weighted average is used for statistics that are themselves some form of average, such as median household income. Census block groups are preferred when the statistic in question is available on the block group level. The weight for a given tract (or block group) is computed as the population of the census tabulation blocks that occupy the intersection between the tract and the neighborhood as a fraction of the total population of the neighborhood.

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

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