Occupations in Washington Village, Baltimore, Maryland (Neighborhood)

Occupations#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Baltimore and Washington Village
Washington Village
Baltimore
0%5%10%CountManagementSales and RelatedAdministrativeHealthcare1Education2Food ServiceBusiness3Personal CareComputers & MathFacilitiesHealth TechniciansProductionEngineering4Material MovingEntertainment5Social ServiceTransportationLegalRepair6Fire FightingScienceConstruction7Law EnforcementHealthcare SupportFarming812.504554%8.534917%12.504554%12.5%29429510.865673%8.638589%10.865673%10.9%25610.734637%13.846915%10.734637%10.7%2536.736114%4.561923%6.736114%6.7%1581596.270915%7.553855%6.270915%6.3%1471486.176315%5.509156%6.176315%6.2%1451465.612824%5.075917%5.612824%5.6%1324.795003%3.394979%4.795003%4.8%1134.670930%3.081417%4.670930%4.7%1103.560335%4.542280%3.560335%3.6%83843.495627%2.227307%3.495627%3.5%823.487433%3.220737%3.487433%3.5%823.195858%1.382291%3.195858%3.2%752.845308%2.953373%2.845308%2.8%672.737202%2.385179%2.737202%2.7%64652.202373%2.974835%2.202373%2.2%51522.054950%3.728183%2.054950%2.1%481.907527%1.724589%1.907527%1.9%44451.635190%1.793340%1.635190%1.6%38391.283830%2.515769%1.283830%1.3%301.244933%1.885372%1.244933%1.2%291.006181%3.481917%1.006181%1.0%23240.622467%1.150211%0.622467%0.6%14150.353822%3.778746%0.353822%0.4%80.000000%0.000000%0.0%0.058202%0

Relative Occupations#2

Percentage more or less common in Washington Village than in Baltimore, among the civilian employed population aged 16 and older.
Scope: population of Baltimore and Washington Village
Less Common
More Common
100%0%100%%ref.Engineering1Health TechniciansComputers & MathHealthcare2ManagementPersonal CareSales and RelatedEntertainment3Food ServiceLegalBusiness4ProductionMaterial MovingRepair5Education6FacilitiesAdministrativeSocial ServiceScienceTransportationLaw EnforcementFire FightingConstruction7Healthcare SupportFarming8131.200174%131.200174%131.2%3.196%3.20%1.382%1.38%56.944114%56.944114%56.9%3.496%3.50%2.227%2.23%51.583836%51.583836%51.6%4.671%4.67%3.081%3.08%47.659534%47.659534%47.7%6.736%6.74%4.562%4.56%46.510550%46.510550%46.5%12.505%12.5%8.535%8.53%41.238083%41.238083%41.2%4.795%4.80%3.395%3.39%25.780638%25.780638%25.8%10.866%10.9%8.639%8.64%14.758773%14.758773%14.8%2.737%2.74%2.385%2.39%12.110002%12.110002%12.1%6.176%6.18%5.509%5.51%10.607593%10.607593%10.6%1.908%1.91%1.725%1.72%10.577531%10.577531%10.6%5.613%5.61%5.076%5.08%8.280589%8.280589%8.3%3.487%3.49%3.221%3.22%-3.659035%-3.659035%3.7%2.845%2.85%2.953%2.95%-8.818753%-8.818753%8.8%1.635%1.64%1.793%1.79%-16.983904%-16.983904%17.0%6.271%6.27%7.554%7.55%-21.617892%-21.617892%21.6%3.560%3.56%4.542%4.54%-22.476329%-22.476329%22.5%10.735%10.7%13.847%13.8%-25.966550%-25.966550%26.0%2.202%2.20%2.975%2.97%-33.968816%-33.968816%34.0%1.245%1.24%1.885%1.89%-44.880664%-44.880664%44.9%2.055%2.05%3.728%3.73%-45.882412%-45.882412%45.9%0.622%0.62%1.150%1.15%-48.968698%-48.968698%49.0%1.284%1.28%2.516%2.52%-71.102678%-71.102678%71.1%1.006%1.01%3.482%3.48%-90.636537%-90.636537%90.6%0.354%0.35%3.779%3.78%-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 Washington Village
Female Male
Baltimore
Washington Village
2x1x0x1x2xFMEntertainment1ManagementEducation2Sales and RelatedBusiness3LegalAll OccupationsSocial ServiceSciencePersonal CareFire FightingHealthcare4-1.000000x-1.000000x-1.000000x1.564852x1.193710x1.564852x1.56x2539-1.000000x-1.000000x-1.000000x1.382011x1.108086x1.382011x1.38x123124171-1.000000x-2.089259x-1.000000x1.040918x1.000000x1.040918x1.04x7275-1.000000x-1.209116x-1.000000x1.021870x1.000000x1.021870x1.02x126127129-1.000000x-1.342454x-1.000000x1.009974x1.000000x1.009974x1.01x656666-1.061063x-1.060409x-1.061063x1.06x1.000000x1.000000x1.000000x232122-1.071575x-1.135010x-1.071575x1.07x1.000000x1.000000x1.000000x1,2191,1371,138-1.400897x-2.022173x-1.400897x1.40x1.000000x1.000000x1.000000x302122-1.857143x-1.308686x-1.857143x1.86x1.000000x1.000000x1.000000x1910-1.942699x-3.071990x-1.942699x1.94x1.000000x1.000000x1.000000x747538-2.749977x-1.000000x-2.749977x2.75x1.000000x1.434354x1.000000x228-2.758914x-2.628762x-2.758914x2.76x1.000000x1.000000x1.000000x11611742

Part Timers by Occupation#4

Part time and seasonal workers as a percentage of total workforce within an occupation.
Scope: population of Baltimore and Washington Village
Washington Village
Baltimore
0%20%40%60%80%PartFullPersonal CareHealth TechniciansSales and RelatedFacilitiesMaterial MovingEducation1AdministrativeHealthcare SupportAll OccupationsEntertainment2Healthcare3TransportationProductionFood ServiceConstruction4Engineering5Computers & MathRepair6Social ServiceScienceLegalFire FightingManagementBusiness7Law Enforcement98.052765%44.337298%98.052765%98.1%110111278.631588%30.148620%78.631588%78.6%6465171864.466873%41.119252%64.466873%64.5%1659151.506825%39.200769%51.506825%51.5%43404150.748393%38.021924%50.748393%50.7%343348.449085%37.672156%48.449085%48.4%71727647.045303%27.633584%47.045303%47.0%11913313443.981684%29.755487%43.981684%44.0%344535.686390%28.380610%35.686390%35.7%8411,5151,51632.166312%33.353668%32.166312%32.2%2021434431.685833%20.979188%31.685833%31.7%5010830.171316%24.899990%30.171316%30.2%1415333428.417010%24.011746%28.417010%28.4%23585927.502926%48.867613%27.502926%27.5%4010510621.652501%30.631007%21.652501%21.7%5181920.553514%11.894737%20.553514%20.6%15596013.326396%13.693779%13.326396%13.3%14159512.121212%14.624746%12.121212%12.1%45333411.249505%16.471020%11.249505%11.2%564610.000000%19.660428%10.000000%10.0%23269.789639%16.726429%9.789639%9.8%440419.697028%29.222094%9.697028%9.7%23275.806452%12.189405%5.806452%5.8%172772784.990536%16.683388%4.990536%5.0%671251260.000000%0.000000%0.0%7.495256%01415

Median Income by Occupation#5

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Baltimore and Washington Village
Washington Village
Baltimore
$0k$20k$40k$60k$80k%CountManagementComputers & MathHealthcare1Business2LegalEngineering3Education4Sales and RelatedAll OccupationsFacilitiesEntertainment5Social ServiceScienceHealth TechniciansProductionAdministrativeFood ServiceTransportation$80,419.936524$67,413.000000$80,419.936524$80.4k12.505%12.5%294295$75,575.473221$78,322.000000$75,575.473221$75.6k4.671%4.67%110$69,889.018590$65,872.000000$69,889.018590$69.9k6.736%6.74%158159$66,791.100933$63,073.000000$66,791.100933$66.8k5.613%5.61%132$64,688.000000$85,817.000000$64,688.000000$64.7k1.908%1.91%4445$59,286.000000$74,620.000000$59,286.000000$59.3k3.196%3.20%75$57,840.622715$50,478.000000$57,840.622715$57.8k6.271%6.27%147148$52,963.168699$40,688.000000$52,963.168699$53.0k10.866%10.9%256$51,739.179201$45,044.000000$51,739.179201$51.7k100.000%100%2,357$45,417.000000$25,977.000000$45,417.000000$45.4k3.560%3.56%8384$44,886.000000$53,043.000000$44,886.000000$44.9k2.737%2.74%6465$43,316.985039$44,893.000000$43,316.985039$43.3k2.202%2.20%5152$42,321.000000$50,295.000000$42,321.000000$42.3k1.245%1.24%29$42,308.000000$36,637.000000$42,308.000000$42.3k3.496%3.50%82$37,711.122122$36,298.000000$37,711.122122$37.7k3.487%3.49%82$30,890.259131$38,409.000000$30,890.259131$30.9k10.735%10.7%253$20,313.000000$22,602.000000$20,313.000000$20.3k6.176%6.18%145146$18,750.000000$37,826.000000$18,750.000000$18.8k2.055%2.05%48

Occupations by Neighborhood in Baltimore

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

Management Occupations by Neighborhood#6

Percentage of the civilian employed population aged 16 and older.
Scope: population of Washington Village, selected other neighborhoods in Baltimore, and entities that contain Washington Village
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 NeighborhoodColdspringWashington Village NeighborhoodWashington VlgHerring 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 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%623912.504554%12.504554%12.5%2942954711.714070%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

Management Income by Neighborhood#31

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of Washington Village, selected other neighborhoods in Baltimore, and entities that contain Washington Village
$0k$50k$100k%Count#Keswick NeighborhoodKeswickEvergreen NeighborhoodEvergreenCedarcroft NeighborhoodCedarcroftBellona-Gittings NeighborhoodBellona-GittingsLake Evesham NeighborhoodLake EveshamThe Orchards NeighborhoodThe OrchardsRosebank NeighborhoodRosebankBlythewood NeighborhoodBlythewoodHomeland NeighborhoodHomelandWyndhurst NeighborhoodWyndhurstNorth Roland Park - Poplar Hill NeighborhoodN Roland Pk - Pop…Downtown NeighborhoodDowntownGuilford NeighborhoodGuilfordRoland Park NeighborhoodRoland ParkLoyola - Notre Dame NeighborhoodLoyola - Notre DameLoch Raven NeighborhoodLoch RavenMt Pleasant Park NeighborhoodMt Pleasant PkOtterbein NeighborhoodOtterbeinRidgely Delight NeighborhoodRidgely DelightBolton Hill NeighborhoodBolton HillTuscany-Canterbury NeighborhoodTuscany-CanterburyCross Keys NeighborhoodCross KeysMoravia-Walther NeighborhoodMoravia-WaltherYale-Heights NeighborhoodYale-HeightsEdmondson Village NeighborhoodEdmondson VlgFells Point NeighborhoodFells PointCharles Village NeighborhoodCharles VlgBelair-Parkside NeighborhoodBelair-ParksideMorgan State University NeighborhoodMorgan State UnivFairmont NeighborhoodFairmontMarylandCross Country NeighborhoodCross CountryBaltimore, Columbia, and Towson Metro AreaBaltimoreWashington Village NeighborhoodWashington VlgJones Falls Area NeighborhoodJones Falls AreaCanton NeighborhoodCantonBaltimore CountyBaltimoreHarwood NeighborhoodHarwoodUnited States of AmericaUnited StatesSouth AtlanticDruid Hill Park NeighborhoodDruid Hl PkSouthBaltimoreBaltimore City Public SchoolsBaltimoreFrankford NeighborhoodFrankfordEdnor Gardens-Lakeside NeighborhoodEdnor Gdns-Lakes…Midway-Coldstream NeighborhoodMidway-ColdstreamChristopher NeighborhoodChristopherRosemont NeighborhoodRosemontBelair-Edison NeighborhoodBelair-EdisonPatterson Park NeighborhoodPatterson PkHampden NeighborhoodHampdenBrooklyn NeighborhoodBrooklynCoppin Heights - Ash-Co-East NeighborhoodCoppin Hts - Ash-…Shipley Hill NeighborhoodShipley HillGreenspring NeighborhoodGreenspringOrchard Ridge NeighborhoodOrchard RidgeArmistead Gardens NeighborhoodArmistead GdnsPark Circle NeighborhoodPark CircleEast Baltimore Midway NeighborhoodE Baltimore Midway$135,250.000000$135,250.000000$135.3k14.637%14.6%45461$135,250.000000$135,250.000000$135.3k14.637%14.6%272$126,711.000000$126,711.000000$126.7k18.199%18.2%66673$126,711.000000$126,711.000000$126.7k18.199%18.2%554$126,711.000000$126,711.000000$126.7k18.199%18.2%505$126,711.000000$126,711.000000$126.7k18.199%18.2%456$126,711.000000$126,711.000000$126.7k18.199%18.2%367$126,667.000000$126,667.000000$126.7k18.911%18.9%38$126,629.658841$126,629.658841$126.6k18.191%18.2%2942959$122,003.586448$122,003.586448$122.0k17.298%17.3%6610$121,466.259000$121,466.259000$121.5k17.089%17.1%13511$116,875.000000$116,875.000000$116.9k7.591%7.59%21212$111,653.073032$111,653.073032$111.7k12.846%12.8%11611713$108,710.574737$108,710.574737$108.7k14.347%14.3%39139214$105,586.082556$105,586.082556$105.6k17.712%17.7%19119215$105,152.000000$105,152.000000$105.2k4.236%4.24%10911016$105,152.000000$105,152.000000$105.2k4.236%4.24%017$104,464.000000$104,464.000000$104.5k17.859%17.9%19618$104,464.000000$104,464.000000$104.5k17.859%17.9%9519$103,629.000000$103,629.000000$103.6k10.088%10.1%24320$102,321.000000$102,321.000000$102.3k11.159%11.2%19619721$97,357.000000$97,357.000000$97.4k22.172%22.2%909122$96,461.653389$96,461.653389$96.5k9.298%9.30%4423$95,679.000000$95,679.000000$95.7k3.123%3.12%394024$95,060.000000$95,060.000000$95.1k2.501%2.50%7025$94,096.616736$94,096.616736$94.1k17.540%17.5%49849926$91,935.366851$91,935.366851$91.9k6.863%6.86%27227$91,023.000000$91,023.000000$91.0k12.242%12.2%2528$90,800.657604$90,800.657604$90.8k5.807%5.81%3429$90,625.000000$90,625.000000$90.6k6.695%6.70%8930$87,520.000000$87,520.000000$87.5k11.620%11.6%349,268349k$87,196.949201$87,196.949201$87.2k13.196%13.2%25425535$84,894.000000$84,894.000000$84.9k11.579%11.6%160,513161k$80,419.936524$80,419.936524$80.4k12.505%12.5%29429550$80,417.000000$80,417.000000$80.4k20.763%20.8%2352$79,904.986246$79,904.986246$79.9k18.690%18.7%1,6441,64559$77,534.000000$77,534.000000$77.5k10.292%10.3%42,91042.9k$75,357.000000$75,357.000000$75.4k8.356%8.36%6269$72,586.000000$72,586.000000$72.6k10.036%10.0%14,852,82814.9M$71,343.000000$71,343.000000$71.3k10.390%10.4%2,952,3322.95M$70,078.000000$70,078.000000$70.1k4.566%4.57%086$69,211.000000$69,211.000000$69.2k9.891%9.89%5,332,9125.33M$67,413.000000$67,413.000000$67.4k8.535%8.53%23,46323.5k$67,413.000000$67,413.000000$67.4k8.535%8.53%23,46323.5k$67,244.587085$67,244.587085$67.2k6.037%6.04%51498$66,348.562936$66,348.562936$66.3k7.685%7.69%178179103$62,411.000000$62,411.000000$62.4k7.622%7.62%0120$59,475.516853$59,475.516853$59.5k5.392%5.39%33137$55,677.000000$55,677.000000$55.7k6.070%6.07%71154$54,307.171533$54,307.171533$54.3k7.961%7.96%508509166$53,112.203602$53,112.203602$53.1k8.766%8.77%283284171$49,209.613393$49,209.613393$49.2k10.120%10.1%452453188$48,850.000000$48,850.000000$48.9k4.559%4.56%184185189$43,680.689782$43,680.689782$43.7k5.616%5.62%55205$39,125.000000$39,125.000000$39.1k5.492%5.49%3839222$32,054.738156$32,054.738156$32.1k5.679%5.68%60236$27,368.000000$27,368.000000$27.4k0.342%0.34%01237$27,368.000000$27,368.000000$27.4k7.646%7.65%100101238$23,897.693420$23,897.693420$23.9k9.530%9.53%93239$15,982.000000$15,982.000000$16.0k9.670%9.67%97240

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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