Occupations in Lake Murray, San Diego, California (Neighborhood)

Occupations#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of San Diego and Lake Murray
Lake Murray
San Diego
0%5%10%CountManagementEducation1Sales and RelatedAdministrativeBusiness2Personal CareEntertainment3Healthcare4Computers & MathFood ServiceProductionConstruction5Repair6Law EnforcementTransportationEngineering7LegalHealth TechniciansHealthcare SupportSocial ServiceFacilitiesScienceMaterial MovingFire FightingFarming813.978050%11.024488%13.978050%14.0%1,1091,11011.084229%5.793084%11.084229%11.1%87988010.893487%10.716407%10.893487%10.9%86486510.871949%11.078820%10.871949%10.9%8637.482901%6.081313%7.482901%7.5%5945.965652%4.859438%5.965652%6.0%4734744.661747%2.909901%4.661747%4.7%3703.574893%4.250143%3.574893%3.6%2832843.454987%4.658081%3.454987%3.5%2743.376306%7.111682%3.376306%3.4%2682.712414%3.380978%2.712414%2.7%2152.479027%3.304555%2.479027%2.5%1961972.362594%2.216122%2.362594%2.4%1871882.347112%0.661836%2.347112%2.3%1862.274966%2.477633%2.274966%2.3%1801812.174950%3.554722%2.174950%2.2%1721731.954965%1.931476%1.954965%2.0%1551.748425%1.626082%1.748425%1.7%1381391.672992%1.894011%1.672992%1.7%1321331.409551%1.593244%1.409551%1.4%1111121.305213%3.784887%1.305213%1.3%1031040.934203%2.394791%0.934203%0.9%740.654992%1.283222%0.654992%0.7%51520.624396%1.151273%0.624396%0.6%49500.000000%0.000000%0.0%0.261809%0

Relative Occupations#2

Percentage more or less common in Lake Murray than in San Diego, among the civilian employed population aged 16 and older.
Scope: population of San Diego and Lake Murray
Less Common
More Common
100%0%100%200%%ref.Law EnforcementEducation1Entertainment2ManagementBusiness3Personal CareHealth TechniciansRepair4Sales and RelatedLegalAdministrativeTransportationSocial ServiceHealthcare SupportHealthcare5ProductionConstruction6Computers & MathEngineering7Fire FightingMaterial MovingFood ServiceScienceFacilitiesFarming8254.636263%254.636263%254.6%2.347%2.35%0.662%0.66%91.335536%91.335536%91.3%11.084%11.1%5.793%5.79%60.202936%60.202936%60.2%4.662%4.66%2.910%2.91%26.790918%26.790918%26.8%13.978%14.0%11.024%11.0%23.047451%23.047451%23.0%7.483%7.48%6.081%6.08%22.764235%22.764235%22.8%5.966%5.97%4.859%4.86%7.523802%7.523802%7.5%1.748%1.75%1.626%1.63%6.609354%6.609354%6.6%2.363%2.36%2.216%2.22%1.652412%1.652412%1.7%10.893%10.9%10.716%10.7%1.216123%1.216123%1.2%1.955%1.95%1.931%1.93%-1.867266%-1.867266%1.9%10.872%10.9%11.079%11.1%-8.179868%-8.179868%8.2%2.275%2.27%2.478%2.48%-11.529501%-11.529501%11.5%1.410%1.41%1.593%1.59%-11.669334%-11.669334%11.7%1.673%1.67%1.894%1.89%-15.887698%-15.887698%15.9%3.575%3.57%4.250%4.25%-19.774296%-19.774296%19.8%2.712%2.71%3.381%3.38%-24.981518%-24.981518%25.0%2.479%2.48%3.305%3.30%-25.828101%-25.828101%25.8%3.455%3.45%4.658%4.66%-38.815183%-38.815183%38.8%2.175%2.17%3.555%3.55%-45.764697%-45.764697%45.8%0.624%0.62%1.151%1.15%-48.957265%-48.957265%49.0%0.655%0.65%1.283%1.28%-52.524515%-52.524515%52.5%3.376%3.38%7.112%7.11%-60.990198%-60.990198%61.0%0.934%0.93%2.395%2.39%-65.515134%-65.515134%65.5%1.305%1.31%3.785%3.78%-100.000000%-100.000000%100.0%0.000%0%0.262%0.26%

Sex Ratio by Occupation#3

Sex ratio by occupation among the civilian employed population aged 16 and older.
Scope: population of San Diego and Lake Murray
Female Male
San Diego
Lake Murray
2x1x0x1x2xFMProductionMaterial MovingFood ServiceHealth TechniciansEntertainment1Computers & MathManagementLegalAll OccupationsSales and RelatedBusiness2Education3Healthcare4AdministrativePersonal Care-1.000000x-1.000000x-1.000000x2.348163x1.909943x2.348163x2.35x64151-1.000000x-1.000000x-1.000000x2.053570x3.285643x2.053570x2.05x173435-1.000000x-1.000000x-1.000000x1.942605x1.224531x1.942605x1.94x91176177-1.000000x-1.668790x-1.000000x1.660472x1.000000x1.660472x1.66x528687-1.000000x-1.000000x-1.000000x1.328632x1.314771x1.328632x1.33x158159211-1.000000x-1.000000x-1.000000x1.308643x3.303227x1.308643x1.31x118119155-1.000000x-1.000000x-1.000000x1.297165x1.489685x1.297165x1.30x483626627-1.000000x-1.017147x-1.000000x1.096978x1.000000x1.096978x1.10x7481-1.000000x-1.000000x-1.000000x1.005903x1.144216x1.005903x1.01x3,9573,9803,981-1.017969x-1.062127x-1.017969x1.02x1.000000x1.000000x1.000000x436428429-1.670199x-1.161379x-1.670199x1.67x1.000000x1.000000x1.000000x371372222-2.457139x-1.746126x-2.457139x2.46x1.000000x1.000000x1.000000x625254255-2.747090x-2.111573x-2.747090x2.75x1.000000x1.000000x1.000000x2087576-2.765727x-2.036078x-2.765727x2.77x1.000000x1.000000x1.000000x633634229-2.867812x-2.950971x-2.867812x2.87x1.000000x1.000000x1.000000x351122

Part Timers by Occupation#4

Part time and seasonal workers as a percentage of total workforce within an occupation.
Scope: population of San Diego and Lake Murray
Lake Murray
San Diego
0%20%40%60%PartFullMaterial MovingFire FightingPersonal CareHealthcare SupportEducation1FacilitiesConstruction2Food ServiceHealthcare3Entertainment4Business5LegalEngineering6All OccupationsSocial ServiceProductionSales and RelatedAdministrativeTransportationScienceManagementComputers & MathHealth TechniciansRepair7Law Enforcement72.256218%42.863790%72.256218%72.3%37381468.972266%37.469208%68.972266%69.0%341559.203431%54.128271%59.203431%59.2%28019353.771089%45.054772%53.771089%53.8%716151.245664%48.112648%51.245664%51.2%45045142842950.663811%40.000789%50.663811%50.7%525148.219026%33.881386%48.219026%48.2%949510110248.019556%55.073985%48.019556%48.0%12812913941.049600%29.461965%41.049600%41.0%11616738.307521%38.430367%38.307521%38.3%14114222838.162633%20.865446%38.162633%38.2%22622736736.725599%20.633694%36.725599%36.7%56579835.138232%12.256981%35.138232%35.1%606111111232.932295%31.961747%32.932295%32.9%2,6145,32426.785730%32.077946%26.785730%26.8%2930818226.315395%22.868748%26.315395%26.3%565715815926.170396%37.809040%26.170396%26.2%22663825.854904%32.822710%25.854904%25.9%22363964021.878932%32.736912%21.878932%21.9%394014120.809455%20.213164%20.809455%20.8%15585917.162582%15.350871%17.162582%17.2%19091916.817016%15.967571%16.817016%16.8%4622812.261150%31.072150%12.261150%12.3%171211228.794600%16.178353%8.794600%8.8%161710.007503%5.773568%0.007503%0.0%0186

Median Income by Occupation#5

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of San Diego and Lake Murray
Lake Murray
San Diego
$0k$50k%CountHealthcare1Computers & MathLaw EnforcementLegalEngineering2ManagementEducation3All OccupationsScienceBusiness4Social ServiceEntertainment5Construction6Repair7Sales and RelatedProductionTransportationAdministrativeFacilitiesHealth TechniciansFood ServicePersonal CareHealthcare Support$96,840.740612$89,415.000000$96,840.740612$96.8k3.575%3.57%283284$96,123.808397$90,449.000000$96,123.808397$96.1k3.455%3.45%274$87,882.334603$78,846.000000$87,882.334603$87.9k2.347%2.35%186$76,775.638215$96,384.000000$76,775.638215$76.8k1.955%1.95%155$75,771.490710$89,140.000000$75,771.490710$75.8k2.175%2.17%172173$73,752.338503$78,963.000000$73,752.338503$73.8k13.978%14.0%1,1091,110$61,537.563451$57,469.000000$61,537.563451$61.5k11.084%11.1%879880$60,802.269595$51,663.000000$60,802.269595$60.8k100.000%100%7,938$59,603.422400$70,330.000000$59,603.422400$59.6k0.934%0.93%74$58,746.676310$66,427.000000$58,746.676310$58.7k7.483%7.48%594$57,289.765425$48,627.000000$57,289.765425$57.3k1.410%1.41%111112$57,262.547480$52,329.000000$57,262.547480$57.3k4.662%4.66%370$54,075.238908$40,587.000000$54,075.238908$54.1k2.479%2.48%196197$50,077.413860$42,664.000000$50,077.413860$50.1k2.363%2.36%187188$48,563.097423$45,881.000000$48,563.097423$48.6k10.893%10.9%864865$48,196.139634$35,845.000000$48,196.139634$48.2k2.712%2.71%215$47,710.015465$40,314.000000$47,710.015465$47.7k2.275%2.27%180181$43,795.321907$40,156.000000$43,795.321907$43.8k10.872%10.9%863$43,750.000000$23,665.000000$43,750.000000$43.8k1.305%1.31%103104$41,753.502491$43,396.000000$41,753.502491$41.8k1.748%1.75%138139$41,046.594508$24,115.000000$41,046.594508$41.0k3.376%3.38%268$38,648.276794$24,527.000000$38,648.276794$38.6k5.966%5.97%473474$29,072.116367$31,714.000000$29,072.116367$29.1k1.673%1.67%132133

Occupations by Neighborhood in San Diego

There are 125 neighborhoods in San Diego. This section compares Lake Murray to all of the neighborhoods in San Diego and to those entities that contain or substantially overlap with Lake Murray.

Management Occupations by Neighborhood#6

Percentage of the civilian employed population aged 16 and older.
Scope: population of Lake Murray, selected other neighborhoods in San Diego, and entities that contain Lake Murray
0%10%20%Count#Harborview NeighborhoodHarborviewNorth Island Naval Air Station NeighborhoodN Is Naval Air Stati…Del Mar Heights NeighborhoodDel Mar HtsTorrey Preserve NeighborhoodTorrey PreserveGaslamp Quarter NeighborhoodGaslamp QuarterMarina NeighborhoodMarinaNorth City NeighborhoodNorth CityRancho Encantado NeighborhoodRancho EncantadoLittle Italy NeighborhoodLittle ItalyLa Playa NeighborhoodLa PlayaMission Hills NeighborhoodMission HillsMidtown NeighborhoodMidtownLa Jolla NeighborhoodLa JollaTorrey Highlands NeighborhoodTorrey HighlandsWooded Area NeighborhoodWooded AreaSan Pasqual NeighborhoodSan PasqualRoseville - Fleet Ridge NeighborhoodRoseville - Fleet RdgCore-Columbia NeighborhoodCore-ColumbiaSunset Cliffs NeighborhoodSunset CliffsBlack Mountain Ranch NeighborhoodBlack Mtn RnchKearny Mesa NeighborhoodKearny MesaPark West NeighborhoodPark WestCarmel Valley NeighborhoodCarmel ValleySabre Springs NeighborhoodSabre SpringsBurlingame NeighborhoodBurlingameMiramar Ranch North NeighborhoodMiramar Rnch NLoma Portal NeighborhoodLoma PortalMission Bay Park NeighborhoodMission Bay PkHillcrest NeighborhoodHillcrestScripps Ranch NeighborhoodScripps RanchHorton Plaza NeighborhoodHorton PlazaRancho Penasquitos NeighborhoodRancho PenasquitosLake Murray NeighborhoodLake MurrayNorth Park NeighborhoodNorth ParkClairemont Mesa West NeighborhoodClairemont Mesa WUniversity City NeighborhoodUniv CitySan DiegoSan Diego and Carlsbad Metro AreaSan DiegoSan Diego CountySan DiegoClairemont Mesa East NeighborhoodClairemont Mesa EPacificWestCaliforniaUnited States of AmericaUnited StatesEl Cerrito NeighborhoodEl CerritoMira Mesa NeighborhoodMira MesaCherokee Point NeighborhoodCherokee PtMt. Hope NeighborhoodMt. HopeSouthwest NeighborhoodSouthwestOtay Mesa West NeighborhoodOtay Mesa WNestor NeighborhoodNestorMountain View NeighborhoodMountain ViewLincoln Park NeighborhoodLincoln ParkColina del Sol NeighborhoodColina del SolTeralta West NeighborhoodTeralta WestShelltown NeighborhoodShelltownTeralta East NeighborhoodTeralta East26.353468%26.353468%26.4%99100126.315789%26.315789%26.3%2930224.899135%24.899135%24.9%818819324.439500%24.439500%24.4%4423.645839%23.645839%23.6%133134523.559355%23.559355%23.6%782622.896822%22.896822%22.9%475722.527657%22.527657%22.5%269270822.351055%22.351055%22.4%501921.417808%21.417808%21.4%2552561019.461772%19.461772%19.5%6041119.240459%19.240459%19.2%5185191218.911754%18.911754%18.9%3,4743,4751318.791286%18.791286%18.8%3303311418.585984%18.585984%18.6%2752761518.338281%18.338281%18.3%191617.920859%17.920859%17.9%4184191717.674772%17.674772%17.7%5265271817.524950%17.524950%17.5%2011917.385957%17.385957%17.4%5102017.259365%17.259365%17.3%2472482117.224916%17.224916%17.2%8808812216.868410%16.868410%16.9%3,5752316.728078%16.728078%16.7%9722416.624150%16.624150%16.6%772516.373165%16.373165%16.4%1,1541,1552616.363906%16.363906%16.4%3623632716.224497%16.224497%16.2%9309312815.981114%15.981114%16.0%1,4852915.761449%15.761449%15.8%1,2391,2403014.705882%14.705882%14.7%793614.680970%14.680970%14.7%3,6713713.978050%13.978050%14.0%1,1091,1104213.423889%13.423889%13.4%3,2373,2384412.003328%12.003328%12.0%5815311.284628%11.284628%11.3%2,8862,8875811.024488%11.024488%11.0%73,85973.9k10.790118%10.790118%10.8%161,396161k10.790118%10.790118%10.8%161,396161k10.459074%10.459074%10.5%1,4211,4226210.351683%10.351683%10.4%2,459,5242.46M10.273445%10.273445%10.3%3,534,0223.53M10.271448%10.271448%10.3%1,805,4271.81M10.035605%10.035605%10.0%14,852,82814.9M8.637236%8.637236%8.6%234718.133764%8.133764%8.1%3,106757.490935%7.490935%7.5%188189806.177607%6.177607%6.2%148885.520215%5.520215%5.5%1,6021,603965.465541%5.465541%5.5%672974.647334%4.647334%4.6%2852861063.084805%3.084805%3.1%1781791151.711422%1.711422%1.7%56571201.253589%1.253589%1.3%54551210.801603%0.801603%0.8%14151220.485437%0.485437%0.5%81230.455661%0.455661%0.5%11124

Management Income by Neighborhood#31

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of Lake Murray, selected other neighborhoods in San Diego, and entities that contain Lake Murray
$0k$100k%Count#Black Mountain Ranch NeighborhoodBlack Mtn RnchRancho Encantado NeighborhoodRancho EncantadoLa Playa NeighborhoodLa PlayaNorth City NeighborhoodNorth CityTorrey Highlands NeighborhoodTorrey HighlandsWooded Area NeighborhoodWooded AreaKensington NeighborhoodKensingtonCarmel Valley NeighborhoodCarmel ValleySunset Cliffs NeighborhoodSunset CliffsScripps Ranch NeighborhoodScripps RanchMiramar Ranch North NeighborhoodMiramar Rnch NRoseville - Fleet Ridge NeighborhoodRoseville - Fleet RdgSabre Springs NeighborhoodSabre SpringsGaslamp Quarter NeighborhoodGaslamp QuarterMarina NeighborhoodMarinaDel Cerro NeighborhoodDel CerroLa Jolla NeighborhoodLa JollaRancho Bernardo NeighborhoodRancho BernardoTorrey Preserve NeighborhoodTorrey PreserveRancho Penasquitos NeighborhoodRancho PenasquitosSorrento Valley NeighborhoodSorrento VlyMission Hills NeighborhoodMission HillsDel Mar Heights NeighborhoodDel Mar HtsTierrasanta NeighborhoodTierrasantaCarmel Mountain NeighborhoodCarmel MtnEast Village NeighborhoodEast VillageOtay Mesa NeighborhoodOtay MesaSouth Park NeighborhoodSouth ParkCore-Columbia NeighborhoodCore-ColumbiaCortez Hill NeighborhoodCortez HillBurlingame NeighborhoodBurlingameCaliforniaPacificSan Pasqual NeighborhoodSan PasqualSan DiegoSan Diego and Carlsbad Metro AreaSan DiegoSan Diego CountySan DiegoUniversity City NeighborhoodUniv CityWestLake Murray NeighborhoodLake MurrayRidgeview-Webster NeighborhoodRidgeview-WebsterUnited States of AmericaUnited StatesPacific Beach NeighborhoodPacific BeachMira Mesa NeighborhoodMira MesaUniversity Heights NeighborhoodUniv HtsOld Town NeighborhoodOld TownBird Land NeighborhoodBird LandMt. Hope NeighborhoodMt. HopeSouthwest NeighborhoodSouthwestNorthside NeighborhoodNorthsideEastside NeighborhoodEastsideColina del Sol NeighborhoodColina del SolSkyline NeighborhoodSkylineGrant Hill NeighborhoodGrant HillStockton NeighborhoodStocktonLogan Heights NeighborhoodLogan Heights$169,069.446405$169,069.446405$169.1k17.386%17.4%5101$166,328.000000$166,328.000000$166.3k22.528%22.5%2692702$159,931.641313$159,931.641313$159.9k21.418%21.4%2552563$156,478.519966$156,478.519966$156.5k22.897%22.9%4754$137,287.924188$137,287.924188$137.3k18.791%18.8%3303315$133,680.860909$133,680.860909$133.7k18.586%18.6%2752766$131,612.283035$131,612.283035$131.6k10.501%10.5%3513527$129,262.329000$129,262.329000$129.3k16.868%16.9%3,5758$120,870.000000$120,870.000000$120.9k17.525%17.5%2019$120,772.646093$120,772.646093$120.8k15.761%15.8%1,2391,24010$119,469.556557$119,469.556557$119.5k16.373%16.4%1,1541,15511$118,686.283843$118,686.283843$118.7k17.921%17.9%41841912$118,492.315267$118,492.315267$118.5k16.728%16.7%97213$112,617.263036$112,617.263036$112.6k23.646%23.6%13313414$112,015.591511$112,015.591511$112.0k23.559%23.6%78215$111,559.371309$111,559.371309$111.6k14.873%14.9%51251316$107,488.215603$107,488.215603$107.5k18.912%18.9%3,4743,47517$105,202.330096$105,202.330096$105.2k14.243%14.2%2,36718$103,012.641191$103,012.641191$103.0k24.439%24.4%419$102,665.851678$102,665.851678$102.7k14.681%14.7%3,67120$102,223.060744$102,223.060744$102.2k14.315%14.3%25321$97,807.216210$97,807.216210$97.8k19.462%19.5%60422$97,500.000000$97,500.000000$97.5k24.899%24.9%81881923$97,192.631327$97,192.631327$97.2k13.177%13.2%1,45624$97,149.848535$97,149.848535$97.1k14.990%15.0%92125$95,494.386294$95,494.386294$95.5k13.216%13.2%65226$94,108.495208$94,108.495208$94.1k5.626%5.63%555627$92,368.822330$92,368.822330$92.4k14.407%14.4%49349428$88,044.172529$88,044.172529$88.0k17.675%17.7%52652729$86,333.000000$86,333.000000$86.3k12.328%12.3%28128230$83,750.000000$83,750.000000$83.8k16.624%16.6%7734$82,233.000000$82,233.000000$82.2k10.271%10.3%1,805,4271.81M$80,455.000000$80,455.000000$80.5k10.352%10.4%2,459,5242.46M$79,425.253377$79,425.253377$79.4k18.338%18.3%1943$78,963.000000$78,963.000000$79.0k11.024%11.0%73,85973.9k$78,481.000000$78,481.000000$78.5k10.790%10.8%161,396161k$78,481.000000$78,481.000000$78.5k10.790%10.8%161,396161k$76,203.094975$76,203.094975$76.2k11.285%11.3%2,8862,88745$75,299.000000$75,299.000000$75.3k10.273%10.3%3,534,0223.53M$73,752.338503$73,752.338503$73.8k13.978%14.0%1,1091,11049$72,717.000000$72,717.000000$72.7k7.436%7.44%17617751$72,586.000000$72,586.000000$72.6k10.036%10.0%14,852,82814.9M$68,425.198646$68,425.198646$68.4k11.630%11.6%2,27560$66,853.694083$66,853.694083$66.9k8.134%8.13%3,10663$65,491.451606$65,491.451606$65.5k14.116%14.1%1,10668$61,200.533193$61,200.533193$61.2k11.158%11.2%535476$53,319.000000$53,319.000000$53.3k7.100%7.10%19119285$49,672.459318$49,672.459318$49.7k6.178%6.18%14893$46,457.582979$46,457.582979$46.5k5.520%5.52%1,6021,60398$45,072.887226$45,072.887226$45.1k5.243%5.24%257258102$42,381.527223$42,381.527223$42.4k2.389%2.39%105110$33,736.147254$33,736.147254$33.7k1.254%1.25%5455115$32,660.552179$32,660.552179$32.7k5.597%5.60%196116$29,353.258448$29,353.258448$29.4k5.829%5.83%113114117$28,885.293770$28,885.293770$28.9k3.528%3.53%59118$28,744.631271$28,744.631271$28.7k3.726%3.73%209119

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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