Sectors in Towanda-Grantley, Baltimore, Maryland (Neighborhood)

Workers by Sector#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Baltimore and Towanda-Grantley
Towanda-Grantley
Baltimore
0%20%40%60%CountPrivateNon-ProfitLocal GovernmentState GovernmentFederal GovernmentSole Proprietor1Self-Employed2Unpaid Family61.425939%59.872465%61.425939%61.4%25511.796888%14.552974%11.796888%11.8%499.551486%8.043477%9.551486%9.6%39407.143905%6.552058%7.143905%7.1%29305.774349%5.150488%5.774349%5.8%243.649773%3.547394%3.649773%3.6%150.657659%2.170196%0.657659%0.7%230.000000%0.000000%0.0%0.110947%0

Relative Workers by Sector#2

Percentage more or less common in Towanda-Grantley than in Baltimore, among the civilian employed population aged 16 and older.
Scope: population of Baltimore and Towanda-Grantley
Less Common
More Common
100%50%0%%ref.Local GovernmentFederal GovernmentState GovernmentSole Proprietor1PrivateNon-ProfitSelf-Employed2Unpaid Family18.748224%18.748224%18.7%9.551%9.55%8.043%8.04%12.112669%12.112669%12.1%5.774%5.77%5.150%5.15%9.033004%9.033004%9.0%7.144%7.14%6.552%6.55%2.886028%2.886028%2.9%3.650%3.65%3.547%3.55%2.594638%2.594638%2.6%61.426%61.4%59.872%59.9%-18.938304%-18.938304%18.9%11.797%11.8%14.553%14.6%-69.695860%-69.695860%69.7%0.658%0.66%2.170%2.17%-100.000000%-100.000000%100.0%0.000%0%0.111%0.11%

Part Timers by Sector#3

Part time and seasonal workers as a percentage of total workforce within a sector.
Scope: population of Baltimore and Towanda-Grantley
Towanda-Grantley
Baltimore
0%10%20%30%40%PartFullPrivateLocal GovernmentAll SectorsSole Proprietor1Federal GovernmentNon-ProfitState GovernmentSelf-Employed244.136064%30.439326%44.136064%44.1%11211314214338.184366%25.850217%38.184366%38.2%15242534.663031%28.380610%34.663031%34.7%14427127229.380166%49.446267%29.380166%29.4%4101118.132180%9.612261%18.132180%18.1%4192013.579993%27.900117%13.579993%13.6%67422.568957%16.916500%2.568957%2.6%0128290.000000%0.000000%0.0%27.639960%023

Median Income by Sector#4

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Baltimore and Towanda-Grantley
Towanda-Grantley
Baltimore
$0k$20k$40k$60k%CountFederal GovernmentLocal GovernmentNon-ProfitState GovernmentAll SectorsSole Proprietor1Private$44,078.041358$69,624.000000$44,078.041358$44.1k5.774%5.77%24$42,039.560970$49,674.000000$42,039.560970$42.0k9.551%9.55%3940$39,553.880507$46,277.000000$39,553.880507$39.6k11.797%11.8%49$38,885.544220$49,338.000000$38,885.544220$38.9k7.144%7.14%2930$33,461.428775$45,044.000000$33,461.428775$33.5k100.000%100%415416$30,875.000000$32,470.000000$30,875.000000$30.9k3.650%3.65%15$25,648.425161$41,201.000000$25,648.425161$25.6k61.426%61.4%255

Sectors by Neighborhood in Baltimore

There are 273 neighborhoods in Baltimore. This section compares Towanda-Grantley to all of the neighborhoods in Baltimore and to those entities that contain or substantially overlap with Towanda-Grantley.

Private Sector by Neighborhood#5

Percentage of the civilian employed population aged 16 and older.
Scope: population of Towanda-Grantley, selected other neighborhoods in Baltimore, and entities that contain Towanda-Grantley
0%20%40%60%80%Count#Orangeville Industrial Area NeighborhoodOrangeville Ind AreaOrchard Ridge NeighborhoodOrchard RidgeArmistead Gardens NeighborhoodArmistead GdnsOrangeville NeighborhoodOrangevilleFairfield Area NeighborhoodFairfield AreaBrooklyn NeighborhoodBrooklynKresson NeighborhoodKressonJoseph Lee NeighborhoodJoseph LeeHopkins Bayview NeighborhoodHopkins BayviewEastwood NeighborhoodEastwoodMosher NeighborhoodMosherCurtis Bay Industrial Area NeighborhoodCurtis Bay Ind AreaCurtis Bay NeighborhoodCurtis BayO'Donnell Heights NeighborhoodO'Donnell HtsSaint Paul NeighborhoodSaint PaulBaltimore Highlands NeighborhoodBaltimore HighlandsFranklintown Road NeighborhoodFranklintown RdGraceland Park NeighborhoodGraceland PkMedford NeighborhoodMedfordBetter Waverly NeighborhoodBetter WaverlyMidtown-Edmondson NeighborhoodMidtown-EdmondsonPenrose-Fayette Street Outreach NeighborhoodPenrose-Fayette S…Saint Helena NeighborhoodSaint HelenaHolabird Industrial Park NeighborhoodHolabird Ind PkBroening Manor NeighborhoodBroening MnrPulaski Industrial Area NeighborhoodPulaski Ind AreaHeritage Crossing NeighborhoodHeritage CrossingRognel Heights NeighborhoodRognel HtsMorrell Park NeighborhoodMorrell ParkEast Baltimore Midway NeighborhoodE Baltimore MidwaySharp-Leadenhall NeighborhoodSharp-LeadenhallSouthUnited States of AmericaUnited StatesSouth AtlanticUnion Square NeighborhoodUnion SquareFrankford NeighborhoodFrankfordFranklin Square NeighborhoodFranklin SqCentral Park Heights NeighborhoodCntrl Pk HtsBaltimore CountyBaltimoreCanton NeighborhoodCantonWest Hills NeighborhoodWest HillsTowanda-Grantley NeighborhoodTowanda-GrantleyBaltimore, Columbia, and Towson Metro AreaBaltimoreBroadway East NeighborhoodBroadway EastMarylandBaltimoreBaltimore City Public SchoolsBaltimoreBelair-Edison NeighborhoodBelair-EdisonMount Winans NeighborhoodMount WinansZIP Code 21215ZIP 21215Clifton Park NeighborhoodClifton ParkSeton Business Park NeighborhoodSeton Business PkHoes Heights NeighborhoodHoes HeightsThe Orchards NeighborhoodThe OrchardsLauraville NeighborhoodLauravillePerkins Homes NeighborhoodPerkins HomesRadnor-Winston NeighborhoodRadnor-WinstonVillages of Homeland NeighborhoodVlgs of HomelandColdspring NeighborhoodColdspringCross Keys NeighborhoodCross Keys86.524823%86.524823%86.5%1186.319893%86.319893%86.3%150281.944601%81.944601%81.9%1,080380.581395%80.581395%80.6%6566479.075610%79.075610%79.1%4546578.594251%78.594251%78.6%3,1883,189677.971339%77.971339%78.0%143777.957800%77.957800%78.0%806877.957800%77.957800%78.0%36371077.957800%77.957800%78.0%205206977.923293%77.923293%77.9%4331177.754147%77.754147%77.8%781377.754147%77.754147%77.8%1,3591,3601276.966292%76.966292%77.0%1441451475.929752%75.929752%75.9%36371574.947127%74.947127%74.9%8968971674.711669%74.711669%74.7%5181774.671311%74.671311%74.7%5441873.397720%73.397720%73.4%3583591973.241060%73.241060%73.2%8972073.031257%73.031257%73.0%4324332172.861036%72.861036%72.9%7797802272.798949%72.798949%72.8%1621632372.798949%72.798949%72.8%452472.798949%72.798949%72.8%4664672572.795070%72.795070%72.8%42432672.218649%72.218649%72.2%2672771.686155%71.686155%71.7%5545552870.569183%70.569183%70.6%1,5651,5662970.439560%70.439560%70.4%7073068.581688%68.581688%68.6%3393968.525307%68.525307%68.5%36,946,44136.9M68.253043%68.253043%68.3%101,015,409101M67.342861%67.342861%67.3%19,134,68219.1M65.927129%65.927129%65.9%3313325864.852962%64.852962%64.9%5,5225,5237164.613019%64.613019%64.6%5947763.399237%63.399237%63.4%1,3141,3159662.436797%62.436797%62.4%260,304260k62.422746%62.422746%62.4%5,49311061.753786%61.753786%61.8%64511561.425939%61.425939%61.4%25511961.179546%61.179546%61.2%848,088848k61.117909%61.117909%61.1%95813460.123470%60.123470%60.1%1,807,1631.81M59.872465%59.872465%59.9%164,593165k59.872465%59.872465%59.9%164,593165k59.593324%59.593324%59.6%3,80814859.228650%59.228650%59.2%13715358.231929%58.231929%58.2%12,82512.8k57.157034%57.157034%57.2%6717255.565693%55.565693%55.6%3819153.449555%53.449555%53.4%25321051.233806%51.233806%51.2%12822946.904710%46.904710%46.9%97297324841.534810%41.534810%41.5%25225326439.529915%39.529915%39.5%13126639.529915%39.529915%39.5%747526535.092330%35.092330%35.1%15426727.828054%27.828054%27.8%114268

Private Income by Neighborhood#13

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of Towanda-Grantley, selected other neighborhoods in Baltimore, and entities that contain Towanda-Grantley
$0k$100k%Count#Blythewood NeighborhoodBlythewoodLoyola - Notre Dame NeighborhoodLoyola - Notre DameBellona-Gittings NeighborhoodBellona-GittingsLake Evesham NeighborhoodLake EveshamCedarcroft NeighborhoodCedarcroftThe Orchards NeighborhoodThe OrchardsRosebank NeighborhoodRosebankHomeland NeighborhoodHomelandKeswick NeighborhoodKeswickEvergreen NeighborhoodEvergreenKernewood NeighborhoodKernewoodGuilford NeighborhoodGuilfordRoland Park NeighborhoodRoland ParkOtterbein NeighborhoodOtterbeinRidgely Delight NeighborhoodRidgely DelightBolton Hill NeighborhoodBolton HillWyndhurst NeighborhoodWyndhurstLocust Point Industrial Area NeighborhoodLocust Pt Ind AreaNorth Roland Park - Poplar Hill NeighborhoodN Roland Pk - Pop…Sabina-Mattfeldt NeighborhoodSabina-MattfeldtLocust Point NeighborhoodLocust PointInner Harbor NeighborhoodInner HarborPatterson Park NeighborhoodPatterson PkCanton NeighborhoodCantonRiverside NeighborhoodRiversideFells Point NeighborhoodFells PointFederal Hill NeighborhoodFederal HillSharp-Leadenhall NeighborhoodSharp-LeadenhallSpring Garden Industrial Area NeighborhoodSpg Gdn Ind AreaMount Washington NeighborhoodMt WashingtonJonestown NeighborhoodJonestownBaltimore, Columbia, and Towson Metro AreaBaltimoreMarylandMount Vernon NeighborhoodMount VernonBaltimore CountyBaltimoreArcadia NeighborhoodArcadiaUnited States of AmericaUnited StatesBelair-Edison NeighborhoodBelair-EdisonWoodbourne Heights NeighborhoodWoodbourne HtsBaltimoreBaltimore City Public SchoolsBaltimoreSouth AtlanticSouthMedfield NeighborhoodMedfieldWest Forest Park NeighborhoodW Frst PkLake Walker NeighborhoodLake WalkerPen Lucy NeighborhoodPen LucyFrankford NeighborhoodFrankfordWakefield NeighborhoodWakefieldZIP Code 21215ZIP 21215Cylburn NeighborhoodCylburnBrooklyn NeighborhoodBrooklynCarroll Park NeighborhoodCarroll ParkCentral Park Heights NeighborhoodCntrl Pk HtsTowanda-Grantley NeighborhoodTowanda-GrantleyGreenspring NeighborhoodGreenspringLucille Park NeighborhoodLucille ParkMill Hill NeighborhoodMill HillO'Donnell Heights NeighborhoodO'Donnell HtsPoppleton NeighborhoodPoppleton$150,441.000000$150,441.000000$150.4k56.638%56.6%9101$118,691.948065$118,691.948065$118.7k51.468%51.5%5565572$105,292.000000$105,292.000000$105.3k51.234%51.2%1553$105,292.000000$105,292.000000$105.3k51.234%51.2%1401414$105,292.000000$105,292.000000$105.3k51.234%51.2%1885$105,292.000000$105,292.000000$105.3k51.234%51.2%1286$105,292.000000$105,292.000000$105.3k51.234%51.2%1027$105,218.720799$105,218.720799$105.2k51.239%51.2%8298308$97,353.000000$97,353.000000$97.4k41.715%41.7%1319$97,353.000000$97,353.000000$97.4k41.715%41.7%777810$90,062.393539$90,062.393539$90.1k46.468%46.5%11411511$89,089.627109$89,089.627109$89.1k46.311%46.3%42042112$79,116.468947$79,116.468947$79.1k47.080%47.1%1,28513$78,799.000000$78,799.000000$78.8k55.275%55.3%60760814$78,799.000000$78,799.000000$78.8k55.275%55.3%29429515$77,825.000000$77,825.000000$77.8k50.231%50.2%1,2111,21216$76,154.965118$76,154.965118$76.2k49.524%49.5%18917$75,464.822597$75,464.822597$75.5k66.064%66.1%29118$72,829.119954$72,829.119954$72.8k49.127%49.1%38838919$72,500.000000$72,500.000000$72.5k42.802%42.8%4620$71,902.000000$71,902.000000$71.9k65.379%65.4%94021$71,849.719339$71,849.719339$71.8k63.422%63.4%75222$70,191.000000$70,191.000000$70.2k63.252%63.3%1623$69,925.502401$69,925.502401$69.9k62.423%62.4%5,49324$68,259.022674$68,259.022674$68.3k65.980%66.0%2,70125$66,544.034926$66,544.034926$66.5k60.828%60.8%1,73026$66,440.422672$66,440.422672$66.4k64.565%64.6%1,14027$65,132.000000$65,132.000000$65.1k68.582%68.6%33928$64,447.740683$64,447.740683$64.4k67.270%67.3%293029$64,037.845991$64,037.845991$64.0k44.765%44.8%91130$56,846.874678$56,846.874678$56.8k63.857%63.9%46146239$51,286.000000$51,286.000000$51.3k61.180%61.2%848,088848k$50,136.000000$50,136.000000$50.1k60.123%60.1%1,807,1631.81M$49,790.034160$49,790.034160$49.8k42.796%42.8%1,40358$49,716.000000$49,716.000000$49.7k62.437%62.4%260,304260k$43,526.604076$43,526.604076$43.5k49.218%49.2%29477$42,182.000000$42,182.000000$42.2k68.253%68.3%101,015,409101M$41,284.079145$41,284.079145$41.3k59.593%59.6%3,80895$41,250.000000$41,250.000000$41.3k64.264%64.3%51896$41,201.000000$41,201.000000$41.2k59.872%59.9%164,593165k$41,201.000000$41,201.000000$41.2k59.872%59.9%164,593165k$40,425.000000$40,425.000000$40.4k67.343%67.3%19,134,68219.1M$40,071.000000$40,071.000000$40.1k68.525%68.5%36,946,44136.9M$39,735.000000$39,735.000000$39.7k60.348%60.3%954115$38,377.073218$38,377.073218$38.4k60.960%61.0%673674134$36,151.000000$36,151.000000$36.2k62.493%62.5%787153$34,507.605487$34,507.605487$34.5k59.657%59.7%837838172$33,712.160418$33,712.160418$33.7k64.853%64.9%5,5225,523183$32,734.000000$32,734.000000$32.7k61.313%61.3%520191$32,311.000000$32,311.000000$32.3k58.232%58.2%12,82512.8k$31,601.635047$31,601.635047$31.6k65.328%65.3%571210$31,167.859008$31,167.859008$31.2k78.594%78.6%3,1883,189222$30,990.000000$30,990.000000$31.0k62.568%62.6%10229$29,330.378290$29,330.378290$29.3k63.399%63.4%1,3141,315248$25,648.425161$25,648.425161$25.6k61.426%61.4%255263$25,643.105680$25,643.105680$25.6k59.044%59.0%624264$25,237.663285$25,237.663285$25.2k61.251%61.3%110265$24,123.950441$24,123.950441$24.1k70.365%70.4%343266$24,000.000000$24,000.000000$24.0k76.966%77.0%144145267$20,343.631451$20,343.631451$20.3k62.756%62.8%505506268

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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