Occupations in Joseph Lee, Baltimore, Maryland (Neighborhood)

Occupations#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Baltimore and Joseph Lee
Joseph Lee
Baltimore
0%5%10%15%CountFacilitiesConstruction1AdministrativeManagementProductionFood ServiceSales and RelatedBusiness2Material MovingEducation3TransportationRepair4Fire FightingHealth TechniciansLegalPersonal CareSocial ServiceHealthcare5Healthcare SupportEngineering6Law EnforcementComputers & MathEntertainment7ScienceFarming817.596081%4.542280%17.596081%17.6%18212.660136%3.481917%12.660136%12.7%13013111.718161%13.846915%11.718161%11.7%1218.741522%8.534917%8.741522%8.7%907.045968%3.220737%7.045968%7.0%72735.877920%5.509156%5.877920%5.9%60615.538809%8.638589%5.538809%5.5%574.785230%5.075917%4.785230%4.8%49503.730219%2.953373%3.730219%3.7%38393.617182%7.553855%3.617182%3.6%373.541824%3.728183%3.541824%3.5%36372.976639%1.793340%2.976639%3.0%30312.223060%2.515769%2.223060%2.2%22232.072344%2.227307%2.072344%2.1%211.356443%1.724589%1.356443%1.4%141.318764%3.394979%1.318764%1.3%13141.017332%2.974835%1.017332%1.0%10111.017332%4.561923%1.017332%1.0%10110.979653%3.778746%0.979653%1.0%100.753580%1.382291%0.753580%0.8%780.602864%1.150211%0.602864%0.6%60.452148%3.081417%0.452148%0.5%450.376790%2.385179%0.376790%0.4%340.000000%0.000000%0.0%1.885372%00.000000%0.000000%0.0%0.058202%0

Relative Occupations#2

Percentage more or less common in Joseph Lee than in Baltimore, among the civilian employed population aged 16 and older.
Scope: population of Baltimore and Joseph Lee
Less Common
More Common
100%0%100%200%%ref.FacilitiesConstruction1ProductionRepair2Material MovingFood ServiceManagementTransportationBusiness3Health TechniciansFire FightingAdministrativeLegalSales and RelatedEngineering4Law EnforcementEducation5Personal CareSocial ServiceHealthcare SupportHealthcare6Entertainment7Computers & MathScienceFarming8287.384348%287.384348%287.4%17.596%17.6%4.542%4.54%263.596662%263.596662%263.6%12.660%12.7%3.482%3.48%118.768802%118.768802%118.8%7.046%7.05%3.221%3.22%65.982947%65.982947%66.0%2.977%2.98%1.793%1.79%26.303665%26.303665%26.3%3.730%3.73%2.953%2.95%6.693662%6.693662%6.7%5.878%5.88%5.509%5.51%2.420701%2.420701%2.4%8.742%8.74%8.535%8.53%-4.998675%-4.998675%5.0%3.542%3.54%3.728%3.73%-5.726788%-5.726788%5.7%4.785%4.79%5.076%5.08%-6.957423%-6.957423%7.0%2.072%2.07%2.227%2.23%-11.634991%-11.634991%11.6%2.223%2.22%2.516%2.52%-15.373487%-15.373487%15.4%11.718%11.7%13.847%13.8%-21.346900%-21.346900%21.3%1.356%1.36%1.725%1.72%-35.882941%-35.882941%35.9%5.539%5.54%8.639%8.64%-45.483282%-45.483282%45.5%0.754%0.75%1.382%1.38%-47.586710%-47.586710%47.6%0.603%0.60%1.150%1.15%-52.114758%-52.114758%52.1%3.617%3.62%7.554%7.55%-61.155451%-61.155451%61.2%1.319%1.32%3.395%3.39%-65.802059%-65.802059%65.8%1.017%1.02%2.975%2.97%-74.074645%-74.074645%74.1%0.980%0.98%3.779%3.78%-77.699485%-77.699485%77.7%1.017%1.02%4.562%4.56%-84.202873%-84.202873%84.2%0.377%0.38%2.385%2.39%-85.326630%-85.326630%85.3%0.452%0.45%3.081%3.08%-100.000000%-100.000000%100.0%0.000%0%1.885%1.89%-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 Joseph Lee
Female Male
Baltimore
Joseph Lee
3x2x1x0x1x2x3xFMTransportationBusiness1Social ServiceManagementFood ServiceEducation2All OccupationsFacilitiesRepair3Healthcare4Material MovingSales and RelatedPersonal CareHealthcare SupportProductionLegal-1.000000x-1.000000x-1.000000x1.764706x4.474893x1.764706x1.76x1323-1.000000x-1.342454x-1.000000x1.702128x1.000000x1.702128x1.70x1831-1.000000x-2.022173x-1.000000x1.700000x1.000000x1.700000x1.70x3467-1.000000x-1.000000x-1.000000x1.666667x1.108086x1.666667x1.67x33345657-1.000000x-1.049946x-1.000000x1.437500x1.000000x1.437500x1.44x24253536-1.000000x-2.089259x-1.000000x1.341463x1.000000x1.341463x1.34x151621-1.000000x-1.135010x-1.000000x1.171849x1.000000x1.171849x1.17x476558-1.000000x-1.000000x-1.000000x1.004292x1.180374x1.004292x1.00x909191-1.025641x-1.000000x-1.025641x1.03x1.000000x8.666667x1.000000x151615-1.454545x-2.628762x-1.454545x1.45x1.000000x1.000000x1.000000x64-1.538462x-1.000000x-1.538462x1.54x1.000000x3.337073x1.000000x2315-1.672727x-1.209116x-1.672727x1.67x1.000000x1.000000x1.000000x353621-1.692308x-3.071990x-1.692308x1.69x1.000000x1.000000x1.000000x895-1.888889x-8.530275x-1.888889x1.89x1.000000x1.000000x1.000000x6734-1.921875x-1.000000x-1.921875x1.92x1.000000x1.699390x1.000000x47482425-3.000000x-1.060409x-3.000000x3.00x1.000000x1.000000x1.000000x101134

Part Timers by Occupation#4

Part time and seasonal workers as a percentage of total workforce within an occupation.
Scope: population of Baltimore and Joseph Lee
Joseph Lee
Baltimore
0%50%100%PartFullLaw EnforcementMaterial MovingFacilitiesFood ServicePersonal CareHealth TechniciansAll OccupationsAdministrativeHealthcare1ProductionEducation2Fire FightingConstruction3Business4ManagementComputers & MathEngineering5Social ServiceLegalEntertainment6Healthcare SupportSales and RelatedRepair7Transportation100.000000%7.495256%100.000000%100.0%6092.929293%38.021924%92.929293%92.9%35362370.877944%39.200769%70.877944%70.9%1295362.820513%48.867613%62.820513%62.8%38222342.857143%44.337298%42.857143%42.9%567840.000000%30.148620%40.000000%40.0%89121331.424265%28.380610%31.424265%31.4%32570930.546624%27.633584%30.546624%30.5%378429.629630%20.979188%29.629630%29.6%3724.598930%24.011746%24.598930%24.6%1718545520.833333%37.672156%20.833333%20.8%78293016.949153%29.222094%16.949153%16.9%341916.071429%30.631007%16.071429%16.1%2110911011.811024%16.683388%11.811024%11.8%5643445.172414%12.189405%5.172414%5.2%4585860.000000%0.000000%0.0%13.693779%0450.000000%0.000000%0.0%11.894737%0780.000000%0.000000%0.0%16.471020%010110.000000%0.000000%0.0%16.726429%0140.000000%0.000000%0.0%33.353668%0340.000000%0.000000%0.0%29.755487%0100.000000%0.000000%0.0%41.119252%0570.000000%0.000000%0.0%14.624746%030310.000000%0.000000%0.0%24.899990%03637

Median Income by Occupation#5

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Baltimore and Joseph Lee
Joseph Lee
Baltimore
$0k$20k$40k$60k$80k%CountEducation1Repair2Business3ProductionLegalTransportationAdministrativeFood ServiceManagementAll OccupationsHealth TechniciansFacilitiesSales and RelatedConstruction4$86,111.000000$50,478.000000$86,111.000000$86.1k3.617%3.62%37$75,202.000000$44,411.000000$75,202.000000$75.2k2.977%2.98%3031$64,318.000000$63,073.000000$64,318.000000$64.3k4.785%4.79%4950$46,726.000000$36,298.000000$46,726.000000$46.7k7.046%7.05%7273$44,167.000000$85,817.000000$44,167.000000$44.2k1.356%1.36%14$43,382.000000$37,826.000000$43,382.000000$43.4k3.542%3.54%3637$40,972.000000$38,409.000000$40,972.000000$41.0k11.718%11.7%121$40,357.000000$22,602.000000$40,357.000000$40.4k5.878%5.88%6061$37,321.000000$67,413.000000$37,321.000000$37.3k8.742%8.74%90$37,241.000000$45,044.000000$37,241.000000$37.2k100.000%100%1,034$36,103.000000$36,637.000000$36,103.000000$36.1k2.072%2.07%21$30,375.000000$25,977.000000$30,375.000000$30.4k17.596%17.6%182$24,920.000000$40,688.000000$24,920.000000$24.9k5.539%5.54%57$24,085.000000$44,575.000000$24,085.000000$24.1k12.660%12.7%130131

Occupations by Neighborhood in Baltimore

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

Management Occupations by Neighborhood#6

Percentage of the civilian employed population aged 16 and older.
Scope: population of Joseph Lee, selected other neighborhoods in Baltimore, and entities that contain Joseph Lee
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 AreaBaltimoreZIP Code 21224ZIP 21224Mayfield NeighborhoodMayfieldSouth AtlanticBaltimore CountyBaltimoreUnited States of AmericaUnited StatesSouthBarclay NeighborhoodBarclayJoseph Lee NeighborhoodJoseph Lee260501Tract 260501BaltimoreBaltimore 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%623911.714070%11.714070%11.7%125811.619983%11.619983%11.6%349,268349k11.579120%11.579120%11.6%160,513161k11.306708%11.306708%11.3%3,08310.672453%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%85968.741522%8.741522%8.7%901078.741522%8.741522%8.7%2328.534917%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 Joseph Lee, selected other neighborhoods in Baltimore, and entities that contain Joseph Lee
$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 AreaBaltimoreJones Falls Area NeighborhoodJones Falls AreaCanton NeighborhoodCantonBaltimore CountyBaltimoreHarwood NeighborhoodHarwoodUnited States of AmericaUnited StatesSouth AtlanticZIP Code 21224ZIP 21224Druid 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 Hill260501Tract 260501Joseph Lee NeighborhoodJoseph LeeGreenspring 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$80,417.000000$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$71,286.000000$71,286.000000$71.3k11.307%11.3%3,083$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$37,321.000000$37,321.000000$37.3k8.742%8.74%232$37,321.000000$37,321.000000$37.3k8.742%8.74%90230$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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