Occupations in University of Maryland, Baltimore, Maryland (Neighborhood)

Occupations#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Baltimore and University of Maryland
University of Maryland
Baltimore
0%5%10%CountHealthcare1AdministrativePersonal CareEducation2Computers & MathBusiness3ManagementHealth TechniciansSales and RelatedScienceSocial ServiceLegalHealthcare SupportFire FightingFood ServiceProductionTransportationEngineering4Entertainment5Law EnforcementFacilitiesFarming6Construction7Repair8Material Moving13.766234%4.561923%13.766234%13.8%151612.467532%13.846915%12.467532%12.5%1410.129870%3.394979%10.129870%10.1%118.831169%7.553855%8.831169%8.8%107.792208%3.081417%7.792208%7.8%897.532468%5.075917%7.532468%7.5%895.714286%8.534917%5.714286%5.7%65.714286%2.227307%5.714286%5.7%64.935065%8.638589%4.935065%4.9%564.675325%1.885372%4.675325%4.7%54.155844%2.974835%4.155844%4.2%454.155844%1.724589%4.155844%4.2%453.636364%3.778746%3.636364%3.6%42.597403%2.515769%2.597403%2.6%232.077922%5.509156%2.077922%2.1%21.038961%3.220737%1.038961%1.0%10.779221%3.728183%0.779221%0.8%010.000000%0.000000%0.0%1.382291%00.000000%0.000000%0.0%2.385179%00.000000%0.000000%0.0%1.150211%00.000000%0.000000%0.0%4.542280%00.000000%0.000000%0.0%0.058202%00.000000%0.000000%0.0%3.481917%00.000000%0.000000%0.0%1.793340%00.000000%0.000000%0.0%2.953373%0

Relative Occupations#2

Percentage more or less common in University of Maryland than in Baltimore, among the civilian employed population aged 16 and older.
Scope: population of Baltimore and University of Maryland
Less Common
More Common
100%0%100%200%%ref.Healthcare1Personal CareHealth TechniciansComputers & MathScienceLegalBusiness2Social ServiceEducation3Fire FightingHealthcare SupportAdministrativeManagementSales and RelatedFood ServiceProductionTransportationEngineering4Entertainment5Law EnforcementFacilitiesFarming6Construction7Repair8Material Moving201.763835%201.763835%201.8%13.766%13.8%4.562%4.56%198.378022%198.378022%198.4%10.130%10.1%3.395%3.39%156.555843%156.555843%156.6%5.714%5.71%2.227%2.23%152.877426%152.877426%152.9%7.792%7.79%3.081%3.08%147.978932%147.978932%148.0%4.675%4.68%1.885%1.89%140.975848%140.975848%141.0%4.156%4.16%1.725%1.72%48.396196%48.396196%48.4%7.532%7.53%5.076%5.08%39.699987%39.699987%39.7%4.156%4.16%2.975%2.97%16.909434%16.909434%16.9%8.831%8.83%7.554%7.55%3.244875%3.244875%3.2%2.597%2.60%2.516%2.52%-3.767984%-3.767984%3.8%3.636%3.64%3.779%3.78%-9.961659%-9.961659%10.0%12.468%12.5%13.847%13.8%-33.048143%-33.048143%33.0%5.714%5.71%8.535%8.53%-42.871865%-42.871865%42.9%4.935%4.94%8.639%8.64%-62.282387%-62.282387%62.3%2.078%2.08%5.509%5.51%-67.741515%-67.741515%67.7%1.039%1.04%3.221%3.22%-79.099184%-79.099184%79.1%0.779%0.78%3.728%3.73%-100.000000%-100.000000%100.0%0.000%0%1.382%1.38%-100.000000%-100.000000%100.0%0.000%0%2.385%2.39%-100.000000%-100.000000%100.0%0.000%0%1.150%1.15%-100.000000%-100.000000%100.0%0.000%0%4.542%4.54%-100.000000%-100.000000%100.0%0.000%0%0.058%0.06%-100.000000%-100.000000%100.0%0.000%0%3.482%3.48%-100.000000%-100.000000%100.0%0.000%0%1.793%1.79%-100.000000%-100.000000%100.0%0.000%0%2.953%2.95%

Sex Ratio by Occupation#3

Sex ratio by occupation among the civilian employed population aged 16 and older.
Scope: population of Baltimore and University of Maryland
Female Male
Baltimore
University of Maryland
1x0x1xFMComputers & MathFood ServicePersonal CareFire FightingAll OccupationsBusiness1Healthcare2Health Technicians-1.000000x-1.000000x-1.000000x1.727273x2.130451x1.727273x1.73x356-1.000000x-1.049946x-1.000000x1.666667x1.000000x1.666667x1.67x011-1.000000x-3.071990x-1.000000x1.600000x1.000000x1.600000x1.60x47-1.000000x-1.000000x-1.000000x1.500000x1.434354x1.500000x1.50x112-1.549669x-1.135010x-1.549669x1.55x1.000000x1.000000x1.000000x686944-1.636364x-1.342454x-1.636364x1.64x1.000000x1.000000x1.000000x53-1.650000x-2.628762x-1.650000x1.65x1.000000x1.000000x1.000000x91056-1.750000x-4.287565x-1.750000x1.75x1.000000x1.000000x1.000000x42

Part Timers by Occupation#4

Part time and seasonal workers as a percentage of total workforce within an occupation.
Scope: population of Baltimore and University of Maryland
University of Maryland
Baltimore
0%50%100%PartFullHealthcare SupportFire FightingProductionTransportationEducation1AdministrativeComputers & MathHealth TechniciansHealthcare2All OccupationsScienceBusiness3Food ServicePersonal CareSales and RelatedManagementSocial ServiceLegal100.000000%29.755487%100.000000%100.0%40100.000000%29.222094%100.000000%100.0%230100.000000%24.011746%100.000000%100.0%10100.000000%24.899990%100.000000%100.0%01073.529412%37.672156%73.529412%73.5%72368.750000%27.633584%68.750000%68.8%910460.000000%13.693779%60.000000%60.0%53450.000000%30.148620%50.000000%50.0%3349.056604%20.979188%49.056604%49.1%787848.051948%28.380610%48.051948%48.1%5455585944.444444%19.660428%44.444444%44.4%22341.379310%16.683388%41.379310%41.4%34537.500000%48.867613%37.500000%37.5%01128.205128%44.337298%28.205128%28.2%3821.052632%41.119252%21.052632%21.1%1413.636364%12.189405%13.636364%13.6%01560.000000%0.000000%0.0%16.471020%0450.000000%0.000000%0.0%16.726429%045

Median Income by Occupation#5

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Baltimore and University of Maryland
University of Maryland
Baltimore
$0k$20k$40k$60k$80k%CountPersonal CareBusiness1All OccupationsScience$80,750.000000$26,183.000000$80,750.000000$80.8k10.130%10.1%11$66,563.000000$63,073.000000$66,563.000000$66.6k7.532%7.53%89$57,000.000000$45,044.000000$57,000.000000$57.0k100.000%100%113$26,563.000000$50,295.000000$26,563.000000$26.6k4.675%4.68%5

Occupations by Neighborhood in Baltimore

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

Management Occupations by Neighborhood#6

Percentage of the civilian employed population aged 16 and older.
Scope: population of University of Maryland, selected other neighborhoods in Baltimore, and entities that contain University of Maryland
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 NeighborhoodBarclayZIP Code 21201ZIP 21201BaltimoreBaltimore City Public SchoolsBaltimoreHanlon-Longwood NeighborhoodHanlon-LongwoodBelair-Edison NeighborhoodBelair-EdisonBeechfield NeighborhoodBeechfieldCedonia NeighborhoodCedoniaFrankford NeighborhoodFrankfordAshburton NeighborhoodAshburton040200Tract 040200University of Maryland NeighborhoodUniv of MarylandPenn 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 Area23.848238%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%85969.174420%9.174420%9.2%7798.534917%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%54551725.714286%5.714286%5.7%225.714286%5.714286%5.7%61764.990115%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

Business1 Income by Neighborhood#31

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of University of Maryland, selected other neighborhoods in Baltimore, and entities that contain University of Maryland
$0k$100k%Count#North Roland Park - Poplar Hill NeighborhoodN Roland Pk - Pop…Wyndhurst NeighborhoodWyndhurstCross Country NeighborhoodCross CountryCedarcroft NeighborhoodCedarcroftBellona-Gittings NeighborhoodBellona-GittingsLake Evesham NeighborhoodLake EveshamThe Orchards NeighborhoodThe OrchardsRosebank NeighborhoodRosebankHomeland NeighborhoodHomelandCylburn NeighborhoodCylburnParklane NeighborhoodParklaneCentral Park Heights NeighborhoodCntrl Pk HtsBlythewood NeighborhoodBlythewoodClifton Park NeighborhoodClifton ParkGuilford NeighborhoodGuilfordTuscany-Canterbury NeighborhoodTuscany-CanterburyWoodberry NeighborhoodWoodberryJones Falls Area NeighborhoodJones Falls AreaLoyola - Notre Dame NeighborhoodLoyola - Notre DameMayfield NeighborhoodMayfieldBrewers Hill NeighborhoodBrewers HillHerring Run Park NeighborhoodHerring Run PkKernewood NeighborhoodKernewoodRoland Park NeighborhoodRoland ParkCentral Forest Park NeighborhoodCntrl Frst PkForest Park Golf Course NeighborhoodFrst Pk Golf CrseHoward Park NeighborhoodHoward ParkRiverside NeighborhoodRiversideFairmont NeighborhoodFairmontConcerned Citizens of Forest Park NeighborhoodConcerned Citizen…Inner Harbor NeighborhoodInner HarborCanton NeighborhoodCantonMarylandAbell NeighborhoodAbellBaltimore, Columbia, and Towson Metro AreaBaltimoreMidway-Coldstream NeighborhoodMidway-ColdstreamBelair-Edison NeighborhoodBelair-EdisonBaltimore CountyBaltimoreBrooklyn NeighborhoodBrooklynBetter Waverly NeighborhoodBetter Waverly040200Tract 040200University of Maryland NeighborhoodUniv of MarylandEastwood NeighborhoodEastwoodBaltimoreBaltimore City Public SchoolsBaltimoreUnited States of AmericaUnited StatesDowntown NeighborhoodDowntownSouth AtlanticSouthNorthwest Community Action NeighborhoodNW Comm ActionZIP Code 21201ZIP 21201Mount Vernon NeighborhoodMount VernonCedonia NeighborhoodCedoniaEast Arlington NeighborhoodE ArlingtonBarclay NeighborhoodBarclayFrankford NeighborhoodFrankfordDickeyville NeighborhoodDickeyvilleMadison - Eastend NeighborhoodMadison - EastendMilton - Montford NeighborhoodMilton - MontfordBeechfield NeighborhoodBeechfieldBridgeview - Greenlawn NeighborhoodBridgeview - Green…Midtown-Edmondson NeighborhoodMidtown-Edmondson$177,771.814227$177,771.814227$177.8k7.295%7.30%57581$172,229.659561$172,229.659561$172.2k7.827%7.83%29302$149,921.721846$149,921.721846$149.9k5.715%5.72%1103$123,676.000000$123,676.000000$123.7k10.117%10.1%374$123,676.000000$123,676.000000$123.7k10.117%10.1%30315$123,676.000000$123,676.000000$123.7k10.117%10.1%27286$123,676.000000$123,676.000000$123.7k10.117%10.1%257$123,676.000000$123,676.000000$123.7k10.117%10.1%208$123,600.187915$123,600.187915$123.6k10.114%10.1%1631649$120,446.000000$120,446.000000$120.4k3.441%3.44%3010$120,446.000000$120,446.000000$120.4k3.153%3.15%2011$120,446.000000$120,446.000000$120.4k3.464%3.46%717212$111,250.000000$111,250.000000$111.3k7.354%7.35%113$110,042.000000$110,042.000000$110.0k3.502%3.50%014$107,851.423169$107,851.423169$107.9k3.641%3.64%3315$105,739.000000$105,739.000000$105.7k2.608%2.61%454616$100,833.000000$100,833.000000$100.8k8.898%8.90%646517$100,833.000000$100,833.000000$100.8k8.898%8.90%118$99,932.014082$99,932.014082$99.9k6.777%6.78%7319$98,190.706793$98,190.706793$98.2k5.080%5.08%192020$92,188.000000$92,188.000000$92.2k10.038%10.0%9821$91,729.970909$91,729.970909$91.7k3.791%3.79%0122$89,731.821455$89,731.821455$89.7k6.222%6.22%1523$89,683.181644$89,683.181644$89.7k6.655%6.65%18118224$87,788.000000$87,788.000000$87.8k3.232%3.23%1625$87,788.000000$87,788.000000$87.8k4.258%4.26%726$83,587.831616$83,587.831616$83.6k4.150%4.15%10027$82,011.565443$82,011.565443$82.0k12.034%12.0%49249328$81,743.000000$81,743.000000$81.7k5.996%6.00%7829$79,889.684843$79,889.684843$79.9k6.198%6.20%3130$78,277.284369$78,277.284369$78.3k11.526%11.5%13613731$77,326.999369$77,326.999369$77.3k12.184%12.2%1,07235$75,253.000000$75,253.000000$75.3k6.215%6.22%186,817187k$74,167.000000$74,167.000000$74.2k7.562%7.56%394046$72,732.000000$72,732.000000$72.7k6.068%6.07%84,11084.1k$70,313.000000$70,313.000000$70.3k9.527%9.53%061$69,806.535179$69,806.535179$69.8k2.653%2.65%16917063$68,244.000000$68,244.000000$68.2k5.913%5.91%24,65024.7k$67,869.000000$67,869.000000$67.9k2.394%2.39%9770$67,768.000000$67,768.000000$67.8k3.520%3.52%4376$66,563.000000$66,563.000000$66.6k7.532%7.53%29$66,563.000000$66,563.000000$66.6k7.532%7.53%8979$64,318.000000$64,318.000000$64.3k4.785%4.79%121391$63,073.000000$63,073.000000$63.1k5.076%5.08%13,95414.0k$63,073.000000$63,073.000000$63.1k5.076%5.08%13,95414.0k$62,013.000000$62,013.000000$62.0k4.823%4.82%7,137,7887.14M$61,665.082068$61,665.082068$61.7k13.525%13.5%378107$61,367.000000$61,367.000000$61.4k4.980%4.98%1,415,0971.42M$59,828.000000$59,828.000000$59.8k4.646%4.65%2,505,2132.51M$59,453.000000$59,453.000000$59.5k2.800%2.80%1819122$58,108.000000$58,108.000000$58.1k6.784%6.78%576$57,341.381935$57,341.381935$57.3k3.989%3.99%130131137$55,631.395635$55,631.395635$55.6k4.322%4.32%73152$53,155.000000$53,155.000000$53.2k7.739%7.74%7071167$49,841.613180$49,841.613180$49.8k6.992%6.99%62182$48,051.087086$48,051.087086$48.1k4.080%4.08%347190$43,313.000000$43,313.000000$43.3k3.341%3.34%2197$36,033.000000$36,033.000000$36.0k3.246%3.25%26209$36,033.000000$36,033.000000$36.0k4.635%4.64%1920210$27,926.262005$27,926.262005$27.9k8.069%8.07%121122211$19,583.000000$19,583.000000$19.6k1.473%1.47%10212$19,583.000000$19,583.000000$19.6k3.437%3.44%20213

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.

More Topics to Explore

More Maps to Explore

State:

City:

Metro Area:

City:

ZIP Code:

Unified School District:

Congressional District:

State Senate District:

State Legislative District: