Occupations in Orangeville Industrial Area, Baltimore, Maryland (Neighborhood)

Occupations#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Baltimore and Orangeville Industrial Area
Orangeville Industrial Area
Baltimore
0%5%10%15%CountAdministrativeTransportationFire FightingPersonal CareHealthcare SupportMaterial MovingFacilitiesFood ServiceRepair1Sales and RelatedConstruction2Social ServiceProductionManagementBusiness3Computers & MathEngineering4ScienceLegalEducation5Entertainment6Healthcare7Health TechniciansLaw EnforcementFarming818.439716%13.846915%18.439716%18.4%015.602837%3.728183%15.602837%15.6%012.056738%2.515769%12.056738%12.1%010.638298%3.394979%10.638298%10.6%010.283688%3.778746%10.283688%10.3%09.219858%2.953373%9.219858%9.2%07.092199%4.542280%7.092199%7.1%04.255319%5.509156%4.255319%4.3%03.900709%1.793340%3.900709%3.9%03.191489%8.638589%3.191489%3.2%02.127660%3.481917%2.127660%2.1%01.773050%2.974835%1.773050%1.8%01.418440%3.220737%1.418440%1.4%00.000000%0.000000%0.0%8.534917%00.000000%0.000000%0.0%5.075917%00.000000%0.000000%0.0%3.081417%00.000000%0.000000%0.0%1.382291%00.000000%0.000000%0.0%1.885372%00.000000%0.000000%0.0%1.724589%00.000000%0.000000%0.0%7.553855%00.000000%0.000000%0.0%2.385179%00.000000%0.000000%0.0%4.561923%00.000000%0.000000%0.0%2.227307%00.000000%0.000000%0.0%1.150211%00.000000%0.000000%0.0%0.058202%0

Relative Occupations#2

Percentage more or less common in Orangeville Industrial Area than in Baltimore, among the civilian employed population aged 16 and older.
Scope: population of Baltimore and Orangeville Industrial Area
Less Common
More Common
0%200%%ref.Fire FightingTransportationPersonal CareMaterial MovingHealthcare SupportRepair1FacilitiesAdministrativeFood ServiceConstruction2Social ServiceProductionSales and RelatedManagementBusiness3Computers & MathEngineering4ScienceLegalEducation5Entertainment6Healthcare7Health TechniciansLaw EnforcementFarming8379.246603%379.246603%379.2%12.057%12.1%2.516%2.52%318.510438%318.510438%318.5%15.603%15.6%3.728%3.73%213.353896%213.353896%213.4%10.638%10.6%3.395%3.39%212.180604%212.180604%212.2%9.220%9.22%2.953%2.95%172.145506%172.145506%172.1%10.284%10.3%3.779%3.78%117.510825%117.510825%117.5%3.901%3.90%1.793%1.79%56.137418%56.137418%56.1%7.092%7.09%4.542%4.54%33.168409%33.168409%33.2%18.440%18.4%13.847%13.8%-22.759144%-22.759144%22.8%4.255%4.26%5.509%5.51%-38.894026%-38.894026%38.9%2.128%2.13%3.482%3.48%-40.398388%-40.398388%40.4%1.773%1.77%2.975%2.97%-55.959161%-55.959161%56.0%1.418%1.42%3.221%3.22%-63.055433%-63.055433%63.1%3.191%3.19%8.639%8.64%-100.000000%-100.000000%100.0%0.000%0%8.535%8.53%-100.000000%-100.000000%100.0%0.000%0%5.076%5.08%-100.000000%-100.000000%100.0%0.000%0%3.081%3.08%-100.000000%-100.000000%100.0%0.000%0%1.382%1.38%-100.000000%-100.000000%100.0%0.000%0%1.885%1.89%-100.000000%-100.000000%100.0%0.000%0%1.725%1.72%-100.000000%-100.000000%100.0%0.000%0%7.554%7.55%-100.000000%-100.000000%100.0%0.000%0%2.385%2.39%-100.000000%-100.000000%100.0%0.000%0%4.562%4.56%-100.000000%-100.000000%100.0%0.000%0%2.227%2.23%-100.000000%-100.000000%100.0%0.000%0%1.150%1.15%-100.000000%-100.000000%100.0%0.000%0%0.058%0.06%

Sex Ratio by Occupation#3

Sex ratio by occupation among the civilian employed population aged 16 and older.
Scope: population of Baltimore and Orangeville Industrial Area
Female Male
Baltimore
Orangeville Industrial Area
1x0x1xFMFacilitiesFire FightingAll Occupations-1.000000x-1.000000x-1.000000x1.857143x1.180374x1.857143x1.86x00-1.428571x-1.000000x-1.428571x1.43x1.000000x1.434354x1.000000x00-1.937500x-1.135010x-1.937500x1.94x1.000000x1.000000x1.000000x010

Part Timers by Occupation#4

Part time and seasonal workers as a percentage of total workforce within an occupation.
Scope: population of Baltimore and Orangeville Industrial Area
Orangeville Industrial Area
Baltimore
0%50%100%PartFullPersonal CareSales and RelatedMaterial MovingAdministrativeFacilitiesAll OccupationsHealthcare SupportSocial ServiceFire FightingFood ServiceConstruction1Repair2ProductionTransportation100.000000%44.337298%100.000000%100.0%00100.000000%41.119252%100.000000%100.0%0073.076923%38.021924%73.076923%73.1%0048.076923%27.633584%48.076923%48.1%0035.000000%39.200769%35.000000%35.0%0033.687943%28.380610%33.687943%33.7%00117.241379%29.755487%17.241379%17.2%000.000000%0.000000%0.0%16.471020%000.000000%0.000000%0.0%29.222094%000.000000%0.000000%0.0%48.867613%000.000000%0.000000%0.0%30.631007%000.000000%0.000000%0.0%14.624746%000.000000%0.000000%0.0%24.011746%000.000000%0.000000%0.0%24.899990%00

Median Income by Occupation#5

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Baltimore and Orangeville Industrial Area
Orangeville Industrial Area
Baltimore
$0k$10k$20k$30k$40k%CountAdministrativeAll OccupationsTransportation$34,688.000000$38,409.000000$34,688.000000$34.7k18.440%18.4%0$31,908.000000$45,044.000000$31,908.000000$31.9k100.000%100%1$28,088.000000$37,826.000000$28,088.000000$28.1k15.603%15.6%0

Occupations by Neighborhood in Baltimore

There are 273 neighborhoods in Baltimore. This section compares Orangeville Industrial Area to all of the neighborhoods in Baltimore and to those entities that contain or substantially overlap with Orangeville Industrial Area.

Management Occupations by Neighborhood#6

Percentage of the civilian employed population aged 16 and older.
Scope: population of Orangeville Industrial Area, selected other neighborhoods in Baltimore, and entities that contain Orangeville Industrial Area
0%5%10%15%20%Count#Patterson Park NeighborhoodPatterson PkCross Keys NeighborhoodCross KeysJones Falls Area NeighborhoodJones Falls AreaWoodberry NeighborhoodWoodberryRiverside NeighborhoodRiversideInner Harbor NeighborhoodInner HarborPort Covington NeighborhoodPort CovingtonBlythewood NeighborhoodBlythewoodCanton NeighborhoodCantonCedarcroft NeighborhoodCedarcroftBellona-Gittings NeighborhoodBellona-GittingsLake Evesham NeighborhoodLake EveshamRosebank NeighborhoodRosebankThe Orchards NeighborhoodThe OrchardsHomeland NeighborhoodHomelandRidgely Delight NeighborhoodRidgely DelightOtterbein NeighborhoodOtterbeinLoyola - Notre Dame NeighborhoodLoyola - Notre DameFells Point NeighborhoodFells PointWyndhurst NeighborhoodWyndhurstNorth Roland Park - Poplar Hill NeighborhoodN Roland Pk - Pop…Little Italy NeighborhoodLittle ItalyFederal Hill NeighborhoodFederal HillSabina-Mattfeldt NeighborhoodSabina-MattfeldtKernewood NeighborhoodKernewoodLocust Point Industrial Area NeighborhoodLocust Pt Ind AreaJonestown NeighborhoodJonestownAbell NeighborhoodAbellOakenshawe NeighborhoodOakenshaweBrewers Hill NeighborhoodBrewers HillColdspring NeighborhoodColdspringHerring Run Park NeighborhoodHerring Run PkMarylandBaltimore, Columbia, and Towson Metro AreaBaltimoreMayfield NeighborhoodMayfieldSouth AtlanticBaltimore CountyBaltimoreUnited States of AmericaUnited StatesSouthBarclay NeighborhoodBarclayBaltimoreBaltimore City Public SchoolsBaltimoreHanlon-Longwood NeighborhoodHanlon-LongwoodBelair-Edison NeighborhoodBelair-EdisonBeechfield NeighborhoodBeechfieldCedonia NeighborhoodCedoniaFrankford NeighborhoodFrankfordAshburton NeighborhoodAshburtonPenn North NeighborhoodPenn NorthBrooklyn NeighborhoodBrooklynLakeland NeighborhoodLakelandYale-Heights NeighborhoodYale-HeightsCherry Hill NeighborhoodCherry HillDunbar-Broadway NeighborhoodDunbar-BroadwayPenn-Fallsway NeighborhoodPenn-FallswayDarley Park NeighborhoodDarley ParkPleasant View Gardens NeighborhoodPleasant Vw GdnsOrangeville Industrial Area NeighborhoodOrangeville Ind …23.848238%23.848238%23.8%6122.171946%22.171946%22.2%9091220.762712%20.762712%20.8%23320.762712%20.762712%20.8%150151420.431555%20.431555%20.4%836837519.451899%19.451899%19.5%230231618.972257%18.972257%19.0%23718.911175%18.911175%18.9%3818.689890%18.689890%18.7%1,6441,645918.198643%18.198643%18.2%66671018.198643%18.198643%18.2%551118.198643%18.198643%18.2%501218.198643%18.198643%18.2%361318.198643%18.198643%18.2%451418.191483%18.191483%18.2%2942951517.858554%17.858554%17.9%951617.858554%17.858554%17.9%1961717.711785%17.711785%17.7%1911921817.540437%17.540437%17.5%4984991917.297998%17.297998%17.3%662017.088986%17.088986%17.1%1352117.039332%17.039332%17.0%56572216.919252%16.919252%16.9%2982992316.630855%16.630855%16.6%17182416.560838%16.560838%16.6%40412516.145386%16.145386%16.1%712616.092491%16.092491%16.1%1162715.802889%15.802889%15.8%832815.802889%15.802889%15.8%1072915.301139%15.301139%15.3%1493014.154518%14.154518%14.2%623911.714070%11.714070%11.7%125811.619983%11.619983%11.6%349,268349k11.579120%11.579120%11.6%160,513161k10.672453%10.672453%10.7%40417710.390478%10.390478%10.4%2,952,3322.95M10.292439%10.292439%10.3%42,91042.9k10.035605%10.035605%10.0%14,852,82814.9M9.891059%9.891059%9.9%5,332,9125.33M9.531556%9.531556%9.5%85968.534917%8.534917%8.5%23,46323.5k8.534917%8.534917%8.5%23,46323.5k8.324715%8.324715%8.3%78791157.960858%7.960858%8.0%5085091197.351552%7.351552%7.4%1101111346.532669%6.532669%6.5%1101536.037308%6.037308%6.0%5141685.785441%5.785441%5.8%54551724.990115%4.990115%5.0%29301914.559082%4.559082%4.6%1841852004.131455%4.131455%4.1%892103.123086%3.123086%3.1%39402292.168619%2.168619%2.2%572480.167377%0.167377%0.2%02640.000000%0.000000%0.0%02650.000000%0.000000%0.0%02660.000000%0.000000%0.0%02670.000000%0.000000%0.0%0268

Administrative Income by Neighborhood#31

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of Orangeville Industrial Area, selected other neighborhoods in Baltimore, and entities that contain Orangeville Industrial Area
$0k$100k%Count#Keswick NeighborhoodKeswickEvergreen NeighborhoodEvergreenHarlem Park NeighborhoodHarlem ParkRoland Park NeighborhoodRoland ParkSandtown-Winchester NeighborhoodSandtown-Winche…Sabina-Mattfeldt NeighborhoodSabina-MattfeldtSharp-Leadenhall NeighborhoodSharp-LeadenhallColdspring NeighborhoodColdspringSpring Garden Industrial Area NeighborhoodSpg Gdn Ind AreaMount Washington NeighborhoodMt WashingtonNorth Roland Park - Poplar Hill NeighborhoodN Roland Pk - Pop…Wyndhurst NeighborhoodWyndhurstOrangeville NeighborhoodOrangevilleWinston-Govans NeighborhoodWinston-GovansKenilworth Park NeighborhoodKenilworth PkWoodbourne-McCabe NeighborhoodWoodbourne-McC…Richnor Springs NeighborhoodRichnor SpgsKresson NeighborhoodKressonSBIC NeighborhoodSBICOtterbein NeighborhoodOtterbeinRidgely Delight NeighborhoodRidgely DelightLocust Point Industrial Area NeighborhoodLocust Pt Ind AreaCheswolde NeighborhoodCheswoldeDowntown NeighborhoodDowntownOakenshawe NeighborhoodOakenshaweAbell NeighborhoodAbellFederal Hill NeighborhoodFederal HillInner Harbor NeighborhoodInner HarborHeritage Crossing NeighborhoodHeritage CrossingWoodring NeighborhoodWoodringCanton NeighborhoodCantonFells Point NeighborhoodFells PointWest Arlington NeighborhoodW ArlingtonMarylandBaltimore CountyBaltimoreBaltimore, Columbia, and Towson Metro AreaBaltimoreBarre Circle NeighborhoodBarre CircleGreektown NeighborhoodGreektownPulaski Industrial Area NeighborhoodPulaski Ind AreaBelair-Edison NeighborhoodBelair-EdisonFrankford NeighborhoodFrankfordBaltimoreBaltimore City Public SchoolsBaltimoreIdlewood NeighborhoodIdlewoodBetter Waverly NeighborhoodBetter WaverlyBrooklyn NeighborhoodBrooklynUnited States of AmericaUnited StatesLakeland NeighborhoodLakelandOrangeville Industrial Area NeighborhoodOrangeville Ind …South AtlanticSouth Clifton Park NeighborhoodS Clifton PkSouthLiberty Square NeighborhoodLiberty SqTowanda-Grantley NeighborhoodTowanda-GrantleyRognel Heights NeighborhoodRognel HtsCarroll Park NeighborhoodCarroll ParkPoppleton NeighborhoodPoppletonPark Circle NeighborhoodPark CircleO'Donnell Heights NeighborhoodO'Donnell Hts$160,682.000000$160,682.000000$160.7k5.541%5.54%171$160,682.000000$160,682.000000$160.7k5.541%5.54%102$141,361.791377$141,361.791377$141.4k16.330%16.3%2053$106,049.139830$106,049.139830$106.0k6.365%6.36%1731744$85,621.127985$85,621.127985$85.6k19.236%19.2%5085095$81,429.000000$81,429.000000$81.4k3.266%3.27%346$80,469.000000$80,469.000000$80.5k9.425%9.43%46477$73,059.688106$73,059.688106$73.1k15.271%15.3%678$72,177.369996$72,177.369996$72.2k8.464%8.46%349$69,231.386691$69,231.386691$69.2k6.109%6.11%12410$66,335.131027$66,335.131027$66.3k6.596%6.60%5211$63,741.270485$63,741.270485$63.7k6.655%6.66%2512$60,815.000000$60,815.000000$60.8k7.209%7.21%5613$60,337.000000$60,337.000000$60.3k12.261%12.3%5414$60,337.000000$60,337.000000$60.3k12.261%12.3%484915$60,337.000000$60,337.000000$60.3k12.261%12.3%363716$60,337.000000$60,337.000000$60.3k12.261%12.3%2717$58,117.733576$58,117.733576$58.1k7.777%7.78%1418$56,784.053020$56,784.053020$56.8k5.795%5.79%14619$56,645.000000$56,645.000000$56.6k13.987%14.0%15315420$56,645.000000$56,645.000000$56.6k13.987%14.0%747521$55,653.683904$55,653.683904$55.7k8.405%8.41%3722$55,446.377761$55,446.377761$55.4k10.313%10.3%35923$54,688.000000$54,688.000000$54.7k7.982%7.98%22324$53,000.000000$53,000.000000$53.0k5.862%5.86%394025$53,000.000000$53,000.000000$53.0k5.862%5.86%303126$52,991.058649$52,991.058649$53.0k8.109%8.11%14327$52,789.180368$52,789.180368$52.8k7.929%7.93%9428$52,744.490423$52,744.490423$52.7k16.928%16.9%626329$52,610.000000$52,610.000000$52.6k21.949%21.9%28430$50,659.066439$50,659.066439$50.7k7.109%7.11%62562635$48,781.247754$48,781.247754$48.8k6.466%6.47%18318438$43,552.112867$43,552.112867$43.6k15.397%15.4%11111257$42,698.000000$42,698.000000$42.7k13.021%13.0%391,380391k$41,732.000000$41,732.000000$41.7k13.977%14.0%58,27058.3k$41,686.000000$41,686.000000$41.7k13.309%13.3%184,491184k$41,662.119850$41,662.119850$41.7k12.074%12.1%293075$40,585.669618$40,585.669618$40.6k11.011%11.0%19419594$39,335.904747$39,335.904747$39.3k12.338%12.3%7113$39,193.696497$39,193.696497$39.2k15.594%15.6%996997116$38,668.163975$38,668.163975$38.7k16.998%17.0%1,447123$38,409.000000$38,409.000000$38.4k13.847%13.8%38,06638.1k$38,409.000000$38,409.000000$38.4k13.847%13.8%38,06638.1k$37,868.000000$37,868.000000$37.9k17.118%17.1%222132$36,734.478524$36,734.478524$36.7k14.913%14.9%182183150$36,191.426112$36,191.426112$36.2k13.830%13.8%561164$35,892.000000$35,892.000000$35.9k13.155%13.2%19,468,88919.5M$35,781.000000$35,781.000000$35.8k17.324%17.3%374169$34,688.000000$34,688.000000$34.7k18.440%18.4%0188$34,449.000000$34,449.000000$34.4k13.153%13.2%3,737,2653.74M$33,496.271257$33,496.271257$33.5k18.181%18.2%4950206$33,119.000000$33,119.000000$33.1k13.197%13.2%7,115,6287.12M$32,000.000000$32,000.000000$32.0k14.188%14.2%41225$30,705.723036$30,705.723036$30.7k20.663%20.7%8586244$21,741.347231$21,741.347231$21.7k16.375%16.4%126127259$20,714.000000$20,714.000000$20.7k10.664%10.7%12260$19,958.000000$19,958.000000$20.0k12.280%12.3%9899261$17,854.871780$17,854.871780$17.9k17.223%17.2%168262$14,750.000000$14,750.000000$14.8k10.112%10.1%19263

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

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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