Occupations in Excelsior, San Francisco, California (Neighborhood)

Occupations#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of San Francisco and Excelsior
Excelsior
San Francisco
0%5%10%CountFood ServiceAdministrativeSales and RelatedFacilitiesPersonal CareManagementBusiness1Construction2TransportationProductionEducation3Computers & MathRepair4Material MovingEntertainment5Healthcare6Healthcare SupportEngineering7Social ServiceFire FightingLegalHealth TechniciansScienceLaw EnforcementFarming813.006605%6.352751%13.006605%13.0%1,56011.418380%9.737392%11.418380%11.4%1,3691,3709.333919%10.245415%9.333919%9.3%1,1191,1208.669324%3.142910%8.669324%8.7%1,0406.927682%4.649378%6.927682%6.9%8316.452546%14.223023%6.452546%6.5%7745.768514%9.346037%5.768514%5.8%6925.499492%2.445964%5.499492%5.5%6596604.475118%2.045808%4.475118%4.5%5365374.246892%2.125225%4.246892%4.2%5093.249835%4.719175%3.249835%3.2%3893902.868069%7.336253%2.868069%2.9%3442.231663%0.982070%2.231663%2.2%2672682.219709%1.096283%2.219709%2.2%2661.997816%5.309072%1.997816%2.0%2392401.838732%4.030007%1.838732%1.8%2202211.671835%1.196168%1.671835%1.7%2002011.535696%2.568569%1.535696%1.5%1841.445333%1.310996%1.445333%1.4%1731.430295%0.981251%1.430295%1.4%1711721.192946%2.857581%1.192946%1.2%1431.020502%0.888325%1.020502%1.0%1220.704147%1.979286%0.704147%0.7%840.512602%0.302726%0.512602%0.5%610.282346%0.128336%0.282346%0.3%3334

Relative Occupations#2

Percentage more or less common in Excelsior than in San Francisco, among the civilian employed population aged 16 and older.
Scope: population of San Francisco and Excelsior
Less Common
More Common
0%100%%ref.FacilitiesRepair1Construction2Farming3TransportationFood ServiceMaterial MovingProductionLaw EnforcementPersonal CareFire FightingHealthcare SupportAdministrativeHealth TechniciansSocial ServiceSales and RelatedEducation4Business5Engineering6Healthcare7ManagementLegalComputers & MathEntertainment8Science175.837499%175.837499%175.8%8.669%8.67%3.143%3.14%127.240783%127.240783%127.2%2.232%2.23%0.982%0.98%124.839491%124.839491%124.8%5.499%5.50%2.446%2.45%120.004907%120.004907%120.0%0.282%0.28%0.128%0.13%118.745761%118.745761%118.7%4.475%4.48%2.046%2.05%104.739723%104.739723%104.7%13.007%13.0%6.353%6.35%102.475883%102.475883%102.5%2.220%2.22%1.096%1.10%99.832587%99.832587%99.8%4.247%4.25%2.125%2.13%69.328631%69.328631%69.3%0.513%0.51%0.303%0.30%49.002348%49.002348%49.0%6.928%6.93%4.649%4.65%45.762391%45.762391%45.8%1.430%1.43%0.981%0.98%39.765875%39.765875%39.8%1.672%1.67%1.196%1.20%17.263231%17.263231%17.3%11.418%11.4%9.737%9.74%14.879403%14.879403%14.9%1.021%1.02%0.888%0.89%10.246982%10.246982%10.2%1.445%1.45%1.311%1.31%-8.896623%-8.896623%8.9%9.334%9.33%10.245%10.2%-31.135517%-31.135517%31.1%3.250%3.25%4.719%4.72%-38.278501%-38.278501%38.3%5.769%5.77%9.346%9.35%-40.211991%-40.211991%40.2%1.536%1.54%2.569%2.57%-54.373968%-54.373968%54.4%1.839%1.84%4.030%4.03%-54.633087%-54.633087%54.6%6.453%6.45%14.223%14.2%-58.253307%-58.253307%58.3%1.193%1.19%2.858%2.86%-60.905541%-60.905541%60.9%2.868%2.87%7.336%7.34%-62.369762%-62.369762%62.4%1.998%2.00%5.309%5.31%-64.424203%-64.424203%64.4%0.704%0.70%1.979%1.98%

Sex Ratio by Occupation#3

Sex ratio by occupation among the civilian employed population aged 16 and older.
Scope: population of San Francisco and Excelsior
Female Male
San Francisco
Excelsior
2x1x0x1x2xFMEntertainment1Food ServiceProductionManagementAll OccupationsMaterial MovingSocial ServiceSales and RelatedBusiness2AdministrativeHealth TechniciansFacilitiesPersonal Care-1.000000x-1.000000x-1.000000x2.370226x1.133586x2.370226x2.37x71168169-1.000000x-1.000000x-1.000000x1.979393x1.598326x1.979393x1.98x5235241,0361,037-1.000000x-1.000000x-1.000000x1.589682x1.374886x1.589682x1.59x196197312313-1.000000x-1.000000x-1.000000x1.364993x1.281437x1.364993x1.36x327446447-1.000000x-1.000000x-1.000000x1.185496x1.154382x1.185496x1.19x5,4896,507-1.000000x-1.000000x-1.000000x1.149428x3.161616x1.149428x1.15x123124142-1.092842x-1.683284x-1.092842x1.09x1.000000x1.000000x1.000000x90918283-1.262034x-1.000000x-1.262034x1.26x1.000000x1.169607x1.000000x624625495-1.352249x-1.095118x-1.352249x1.35x1.000000x1.000000x1.000000x397398294-1.395234x-1.521225x-1.395234x1.40x1.000000x1.000000x1.000000x797798571572-1.399972x-1.792793x-1.399972x1.40x1.000000x1.000000x1.000000x7151-1.461477x-1.143655x-1.461477x1.46x1.000000x1.000000x1.000000x617422423-1.876816x-2.616462x-1.876816x1.88x1.000000x1.000000x1.000000x542288289

Sex Ratio by Occupation#4

Sex ratio by occupation among the civilian employed population aged 16 and older.
Scope: population of San Francisco and Excelsior
Female Male
San Francisco
Excelsior
50x0x50xFMConstruction1Repair2Law EnforcementFire FightingTransportationComputers & MathFarming3Engineering4LegalHealthcare5Education6ScienceHealthcare Support-1.000000x-1.000000x-1.000000x50.000000x26.159091x50.000000x> 50.0x67652653-1.000000x-1.000000x-1.000000x14.562114x17.037594x14.562114x14.56x17250251-1.000000x-1.000000x-1.000000x10.497819x3.621875x10.497819x10.50x556-1.000000x-1.000000x-1.000000x8.113174x3.086957x8.113174x8.11x1819152153-1.000000x-1.000000x-1.000000x6.078863x6.327713x6.078863x6.08x7576461-1.000000x-1.000000x-1.000000x4.179266x3.517520x4.179266x4.18x66277278-1.000000x-1.000000x-1.000000x3.586176x3.510791x3.586176x3.59x726-1.000000x-1.000000x-1.000000x3.086420x3.746218x3.086420x3.09x45139-3.495104x-1.064931x-3.495104x3.50x1.000000x1.000000x1.000000x1113132-3.716303x-1.951432x-3.716303x3.72x1.000000x1.000000x1.000000x1731744647-4.435632x-1.847826x-4.435632x4.44x1.000000x1.000000x1.000000x3187172-6.812106x-1.298550x-6.812106x6.81x1.000000x1.000000x1.000000x73741011-11.343274x-3.562061x-11.343274x11.34x1.000000x1.000000x1.000000x18416

Part Timers by Occupation#5

Part time and seasonal workers as a percentage of total workforce within an occupation.
Scope: population of San Francisco and Excelsior
Excelsior
San Francisco
0%20%40%60%PartFullPersonal CareEntertainment1Construction2TransportationFood ServiceSales and RelatedMaterial MovingEducation3FacilitiesHealthcare SupportAll OccupationsScienceProductionAdministrativeEngineering4Healthcare5Farming6Repair7Fire FightingLegalManagementComputers & MathBusiness8Social ServiceHealth TechniciansLaw Enforcement71.452161%59.291217%71.452161%71.5%59359423760.824611%36.841699%60.824611%60.8%145146939450.126812%43.288703%50.126812%50.1%33033132943.350085%34.787394%43.350085%43.4%23223330442.608752%47.768792%42.608752%42.6%66466589541.487919%33.343322%41.487919%41.5%46446565541.158294%42.531740%41.158294%41.2%10911015615740.614525%44.899375%40.614525%40.6%15823123238.747646%38.469554%38.747646%38.7%40240363737.919395%46.919918%37.919395%37.9%7612412535.032589%30.199157%35.032589%35.0%4,2024,2037,7937,79432.664821%24.177870%32.664821%32.7%2728565729.966220%30.559569%29.966220%30.0%15215335635724.552232%30.885166%24.552232%24.6%3361,03324.392405%17.037214%24.392405%24.4%444513923.055665%33.216517%23.055665%23.1%505116917021.804657%41.467305%21.804657%21.8%72621.454748%20.591913%21.454748%21.5%5721018.283615%31.309971%18.283615%18.3%3114015.768376%22.591505%15.768376%15.8%222312012115.131581%14.306067%15.131581%15.1%11765665714.579850%19.664081%14.579850%14.6%5029329414.492073%17.686866%14.492073%14.5%1005915928.727088%28.680718%8.727088%8.7%151587.691408%29.101382%7.691408%7.7%91130.000000%0.000000%0.0%8.248817%061

Median Income by Occupation#6

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of San Francisco and Excelsior
Excelsior
San Francisco
$0k$50k$100k%CountComputers & MathEngineering1ScienceHealthcare2ManagementEntertainment3Business4Education5LegalHealth TechniciansHealthcare SupportSocial ServiceAdministrativeAll OccupationsRepair6Construction7TransportationSales and RelatedFire FightingFacilitiesFood ServiceProductionPersonal CareMaterial Moving$122,804.139123$111,738.000000$122,804.139123$122.8k2.868%2.87%344$94,668.322668$97,855.000000$94,668.322668$94.7k1.536%1.54%184$87,292.000000$80,221.000000$87,292.000000$87.3k0.704%0.70%84$78,549.612665$107,394.000000$78,549.612665$78.5k1.839%1.84%220221$72,390.099506$103,121.000000$72,390.099506$72.4k6.453%6.45%774$72,196.637554$77,422.000000$72,196.637554$72.2k1.998%2.00%239240$65,980.375968$90,086.000000$65,980.375968$66.0k5.769%5.77%692$60,777.741641$58,656.000000$60,777.741641$60.8k3.250%3.25%389390$55,066.000000$130,489.000000$55,066.000000$55.1k1.193%1.19%143$50,844.503415$59,779.000000$50,844.503415$50.8k1.021%1.02%122$44,682.223284$41,321.000000$44,682.223284$44.7k1.672%1.67%200201$44,326.384528$56,523.000000$44,326.384528$44.3k1.445%1.45%173$44,148.541803$51,328.000000$44,148.541803$44.1k11.418%11.4%1,3691,370$43,555.917507$71,465.000000$43,555.917507$43.6k100.000%100%11,99612.0k$42,839.739196$51,174.000000$42,839.739196$42.8k2.232%2.23%267268$39,505.314658$46,778.000000$39,505.314658$39.5k5.499%5.50%659660$39,058.870821$37,430.000000$39,058.870821$39.1k4.475%4.48%536537$35,110.663481$70,345.000000$35,110.663481$35.1k9.334%9.33%1,1191,120$34,668.432661$45,223.000000$34,668.432661$34.7k1.430%1.43%171172$33,691.075415$34,117.000000$33,691.075415$33.7k8.669%8.67%1,040$26,758.644718$30,027.000000$26,758.644718$26.8k13.007%13.0%1,560$26,471.592052$35,264.000000$26,471.592052$26.5k4.247%4.25%509$26,038.331276$27,676.000000$26,038.331276$26.0k6.928%6.93%831$21,639.697674$32,636.000000$21,639.697674$21.6k2.220%2.22%266

Map of Occupations by Tract in Excelsior

Management Occupations by Tract#7

Percentage of the population aged 16 and older employed with occupation: management (%):
3.8%5.1%6.4%7.6%8.9%10.2%

Business Occupations by Tract#8

Percentage of the population aged 16 and older employed with occupation: business (business and finance) (%):
3.4%4.4%5.2%6.1%7.0%7.9%

Computers & Math Occupations by Tract#9

Percentage of the population aged 16 and older employed with occupation: computers & math (%):
0.0%1.0%2.0%3.0%4.0%5.0%

Engineering Occupations by Tract#10

Percentage of the population aged 16 and older employed with occupation: engineering (engineering and architecture) (%):
0.0%0.5%1.1%1.6%2.2%2.8%

Science Occupations by Tract#11

Percentage of the population aged 16 and older employed with occupation: science (%):
0.24%0.62%1.00%1.37%1.75%2.13%

Social Service Occupations by Tract#12

Percentage of the population aged 16 and older employed with occupation: social service (%):
0.00%0.45%0.90%1.35%1.80%2.25%

Legal Occupations by Tract#13

Percentage of the population aged 16 and older employed with occupation: legal (%):
0.0%0.6%1.3%1.9%2.5%3.2%

Education Occupations by Tract#14

Percentage of the population aged 16 and older employed with occupation: education (education, training, and library) (%):
0.0%1.2%2.4%3.5%4.7%6.0%

Entertainment Occupations by Tract#15

Percentage of the population aged 16 and older employed with occupation: entertainment (arts, design, entertainment, sports, and media) (%):
0.7%1.9%3.0%4.1%5.3%6.4%

Healthcare Occupations by Tract#16

Percentage of the population aged 16 and older employed with occupation: healthcare (health diagnosing and treating practitioners) (%):
0.0%0.6%1.1%1.7%2.3%2.9%

Health Technicians Occupations by Tract#17

Percentage of the population aged 16 and older employed with occupation: health technicians (%):
0.20%0.59%0.98%1.36%1.74%2.13%

Healthcare Support Occupations by Tract#18

Percentage of the population aged 16 and older employed with occupation: healthcare support (%):
0.55%1.05%1.54%2.03%2.53%3.02%

Fire Fighting Occupations by Tract#19

Percentage of the population aged 16 and older employed with occupation: fire fighting (%):
0.0%0.6%1.1%1.7%2.3%2.9%

Law Enforcement Occupations by Tract#20

Percentage of the population aged 16 and older employed with occupation: law enforcement (%):
0.00%0.30%0.59%0.89%1.18%1.49%

Food Service Occupations by Tract#21

Percentage of the population aged 16 and older employed with occupation: food service (%):
6.8%9.3%11.8%14.2%16.7%19.2%

Facilities Occupations by Tract#22

Percentage of the population aged 16 and older employed with occupation: facilities (%):
2.5%4.5%6.5%8.5%10.5%12.5%

Personal Care Occupations by Tract#23

Percentage of the population aged 16 and older employed with occupation: personal care (%):
3.6%5.0%6.3%7.6%8.9%10.2%

Sales and Related Occupations by Tract#24

Percentage of the population aged 16 and older employed with occupation: sales and related (%):
5.5%10.1%14.6%19.1%23.6%28.1%

Administrative Occupations by Tract#25

Percentage of the population aged 16 and older employed with occupation: administrative (%):
8.2%9.9%11.4%13.0%14.6%16.2%

Farming Occupations by Tract#26

Percentage of the population aged 16 and older employed with occupation: farming (farming, fishing, and forestry) (%):
0.00%0.17%0.35%0.52%0.70%0.88%

Construction Occupations by Tract#27

Percentage of the population aged 16 and older employed with occupation: construction (construction and extraction) (%):
0.0%2.0%4.1%6.1%8.1%10.2%

Repair Occupations by Tract#28

Percentage of the population aged 16 and older employed with occupation: repair (installation, maintenance, and repair) (%):
0.0%0.6%1.3%1.9%2.6%3.3%

Production Occupations by Tract#29

Percentage of the population aged 16 and older employed with occupation: production (%):
2.5%3.4%4.2%5.0%5.8%6.7%

Transportation Occupations by Tract#30

Percentage of the population aged 16 and older employed with occupation: transportation (%):
1.9%2.8%3.6%4.4%5.2%6.1%

Material Moving Occupations by Tract#31

Percentage of the population aged 16 and older employed with occupation: material moving (%):
1.1%2.0%2.9%3.8%4.6%5.6%
Road Data ©OpenStreetMap

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Occupations by Neighborhood in San Francisco

There are 92 neighborhoods in San Francisco. This section compares Excelsior to all of the neighborhoods in San Francisco and to those entities that contain or substantially overlap with Excelsior.

Management Occupations by Neighborhood#32

Percentage of the civilian employed population aged 16 and older.
Scope: population of Excelsior, selected other neighborhoods in San Francisco, and entities that contain Excelsior
0%5%10%15%20%Count#Presidio NeighborhoodPresidioMarina NeighborhoodMarinaCentral Waterfront - Dogpatch NeighborhoodCntrl Waterfront - …Forest Hill Extension NeighborhoodFrst Hl ExtensionPacific Heights NeighborhoodPacific HtsNoe Valley NeighborhoodNoe ValleyPotrero Hill NeighborhoodPotrero HillForest Knolls NeighborhoodForest KnollsBuena Vista Park NeighborhoodBuena Vis PkCorona Heights NeighborhoodCorona HtsPresidio Heights NeighborhoodPresidio HtsSouth Beach NeighborhoodSouth BeachParnassus - Ashbury NeighborhoodParnassus - AshburyClarendon Heights NeighborhoodClarendon HtsDuboce Triangle NeighborhoodDuboce TrnglDiamond Heights NeighborhoodDiamond HtsJordan Park - Laurel Heights NeighborhoodJordan Pk - Laurel …Mission Bay NeighborhoodMission BayLower Pacific Heights NeighborhoodLower Pacific HtsCow Hollow NeighborhoodCow HollowRussian Hill NeighborhoodRussian HillYerba Buena NeighborhoodYerba BuenaGlen Park NeighborhoodGlen ParkAlamo Square NeighborhoodAlamo SquareHayes Valley NeighborhoodHayes ValleyEureka Valley - Dolores Heights - Castro NeighborhoodEureka Vly - Dolor…West Portal NeighborhoodWest PortalTwin Peaks NeighborhoodTwin PeaksSea Cliff NeighborhoodSea CliffSt. Francis Wood NeighborhoodSt. Francis WoodMonterey Heights NeighborhoodMonterey HtsInner Parkside NeighborhoodInner ParksideSouth of Market NeighborhoodS of MarketSherwood Forest NeighborhoodSherwood FrstBernal Heights NeighborhoodBernal HtsNob Hill NeighborhoodNob HillSan Francisco CountySan FranciscoSan FranciscoSan Francisco Unified School DistrictSan FranciscoAnza Vista NeighborhoodAnza VistaMission NeighborhoodMissionSan Francisco, Oakland, and Hayward Metro AreaSan FranciscoCentral Richmond NeighborhoodCntrl RichmondPacificOuter Parkside NeighborhoodOuter ParksideWestCaliforniaUnited States of AmericaUnited StatesChinatown NeighborhoodChinatownExcelsior NeighborhoodExcelsiorSilver Terrace NeighborhoodSilver TerHunters Point NeighborhoodHunters PointPortola NeighborhoodPortolaIngleside Heights NeighborhoodIngleside HtsTreasure Island NeighborhoodTreasure IsYerba Buena Island NeighborhoodYerba Buena Is24.876929%24.876929%24.9%491492124.550831%24.550831%24.6%2,141224.031462%24.031462%24.0%300301323.716814%23.716814%23.7%178423.103763%23.103763%23.1%2,9682,969522.934334%22.934334%22.9%2,2622,263622.855343%22.855343%22.9%1,530722.805393%22.805393%22.8%377378822.130388%22.130388%22.1%422423922.103874%22.103874%22.1%5525531021.670047%21.670047%21.7%4341121.509638%21.509638%21.5%1,4751,4761221.403078%21.403078%21.4%7101319.167546%19.167546%19.2%69701419.083393%19.083393%19.1%3781518.984515%18.984515%19.0%3821618.964606%18.964606%19.0%4361718.710225%18.710225%18.7%2412421818.577909%18.577909%18.6%1,2321918.429478%18.429478%18.4%1,0902018.184106%18.184106%18.2%1,6062118.008519%18.008519%18.0%4894902217.882592%17.882592%17.9%7852317.525979%17.525979%17.5%7177182417.523176%17.523176%17.5%1,7232517.413424%17.413424%17.4%1,6471,6482617.403487%17.403487%17.4%2592602717.329364%17.329364%17.3%4122817.293998%17.293998%17.3%932917.150942%17.150942%17.2%1423016.663178%16.663178%16.7%673316.406448%16.406448%16.4%4233916.285278%16.285278%16.3%2,3224015.910043%15.910043%15.9%474615.386288%15.386288%15.4%2,1874815.008568%15.008568%15.0%1,7731,7745214.223023%14.223023%14.2%69,48869.5k14.223023%14.223023%14.2%69,48869.5k14.223023%14.223023%14.2%69,48869.5k14.061226%14.061226%14.1%1485813.902520%13.902520%13.9%5,0585913.221318%13.221318%13.2%309,052309k11.741241%11.741241%11.7%1,6566510.351683%10.351683%10.4%2,459,5242.46M10.306741%10.306741%10.3%8488497110.273445%10.273445%10.3%3,534,0223.53M10.271448%10.271448%10.3%1,805,4271.81M10.035605%10.035605%10.0%14,852,82814.9M7.480646%7.480646%7.5%203786.452546%6.452546%6.5%774836.423911%6.423911%6.4%280845.314418%5.314418%5.3%7374874.868867%4.868867%4.9%433434883.823842%3.823842%3.8%122123893.349616%3.349616%3.3%42903.349616%3.349616%3.3%2391

Management Income by Neighborhood#57

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of Excelsior, selected other neighborhoods in San Francisco, and entities that contain Excelsior
$0k$100k$200k%Count#Sea Cliff NeighborhoodSea CliffIngleside Terrace NeighborhoodIngleside TerLakeside NeighborhoodLakesideBalboa Terrace NeighborhoodBalboa TerSt. Francis Wood NeighborhoodSt. Francis WoodSherwood Forest NeighborhoodSherwood FrstWest Portal NeighborhoodWest PortalMiraloma Park NeighborhoodMiraloma ParkPresidio NeighborhoodPresidioGolden Gate Heights NeighborhoodGolden Gate HtsMonterey Heights NeighborhoodMonterey HtsLake NeighborhoodLakeInner Parkside NeighborhoodInner ParksidePacific Heights NeighborhoodPacific HtsPotrero Hill NeighborhoodPotrero HillSouth Beach NeighborhoodSouth BeachParnassus - Ashbury NeighborhoodParnassus - AshburyForest Knolls NeighborhoodForest KnollsForest Hill Extension NeighborhoodFrst Hl ExtensionDiamond Heights NeighborhoodDiamond HtsNorth Waterfront NeighborhoodN WaterfrontOuter Richmond NeighborhoodOuter RichmondNoe Valley NeighborhoodNoe ValleyRussian Hill NeighborhoodRussian HillGlen Park NeighborhoodGlen ParkCentral Waterfront - Dogpatch NeighborhoodCntrl Waterfront - …Forest Hill NeighborhoodForest HillBuena Vista Park NeighborhoodBuena Vis PkCorona Heights NeighborhoodCorona HtsEureka Valley - Dolores Heights - Castro NeighborhoodEureka Vly - Dolor…Marina NeighborhoodMarinaBernal Heights NeighborhoodBernal HtsFinancial District NeighborhoodFinancial DistInner Sunset NeighborhoodInner SunsetMission NeighborhoodMissionSan Francisco CountySan FranciscoSan FranciscoSan Francisco Unified School DistrictSan FranciscoSan Francisco, Oakland, and Hayward Metro AreaSan FranciscoDuboce Triangle NeighborhoodDuboce TrnglSouth of Market NeighborhoodS of MarketHaight-Ashbury NeighborhoodHaight-AshburyCentral Richmond NeighborhoodCntrl RichmondHayes Valley NeighborhoodHayes ValleyAlamo Square NeighborhoodAlamo SquareCaliforniaPacificWestUnited States of AmericaUnited StatesExcelsior NeighborhoodExcelsiorTenderloin NeighborhoodTenderloinIngleside NeighborhoodInglesideHunters Point NeighborhoodHunters PointSilver Terrace NeighborhoodSilver TerTreasure Island NeighborhoodTreasure IsYerba Buena Island NeighborhoodYerba Buena IsOceanview NeighborhoodOceanview$250,001.000000$250,001.000000> $250k17.294%17.3%931$176,458.000000$176,458.000000$176.5k16.657%16.7%1672$176,458.000000$176,458.000000$176.5k16.657%16.7%1231243$176,458.000000$176,458.000000$176.5k16.657%16.7%77784$168,756.818905$168,756.818905$168.8k17.151%17.2%1425$166,022.425986$166,022.425986$166.0k15.910%15.9%476$165,093.000000$165,093.000000$165.1k17.403%17.4%2592607$156,331.482912$156,331.482912$156.3k16.071%16.1%4078$151,688.804872$151,688.804872$151.7k24.877%24.9%4914929$144,331.254033$144,331.254033$144.3k15.040%15.0%18810$143,624.813703$143,624.813703$143.6k16.663%16.7%6711$141,919.432477$141,919.432477$141.9k15.344%15.3%66012$139,311.757861$139,311.757861$139.3k16.406%16.4%42313$138,232.184794$138,232.184794$138.2k23.104%23.1%2,9682,96914$135,715.040813$135,715.040813$135.7k22.855%22.9%1,53015$132,990.508081$132,990.508081$133.0k21.510%21.5%1,4751,47616$132,569.020180$132,569.020180$132.6k21.403%21.4%71017$131,501.774985$131,501.774985$131.5k22.805%22.8%37737818$131,016.000000$131,016.000000$131.0k23.717%23.7%17819$130,501.200490$130,501.200490$130.5k18.985%19.0%38220$129,320.408264$129,320.408264$129.3k14.631%14.6%13021$128,944.306200$128,944.306200$128.9k13.180%13.2%1,1741,17522$127,062.799421$127,062.799421$127.1k22.934%22.9%2,2622,26323$126,559.611071$126,559.611071$126.6k18.184%18.2%1,60624$125,301.945039$125,301.945039$125.3k17.883%17.9%78525$125,268.000000$125,268.000000$125.3k24.031%24.0%30030126$124,261.301949$124,261.301949$124.3k16.465%16.5%24327$124,180.674617$124,180.674617$124.2k22.130%22.1%42242328$123,889.950618$123,889.950618$123.9k22.104%22.1%55255329$121,855.717130$121,855.717130$121.9k17.413%17.4%1,6471,64830$117,980.057542$117,980.057542$118.0k24.551%24.6%2,14132$110,850.715450$110,850.715450$110.9k15.386%15.4%2,18738$110,311.031861$110,311.031861$110.3k14.088%14.1%27928039$103,942.148812$103,942.148812$103.9k13.069%13.1%1,3621,36345$103,241.144169$103,241.144169$103.2k13.903%13.9%5,05846$103,121.000000$103,121.000000$103.1k14.223%14.2%69,48869.5k$103,121.000000$103,121.000000$103.1k14.223%14.2%69,48869.5k$103,121.000000$103,121.000000$103.1k14.223%14.2%69,48869.5k$103,023.000000$103,023.000000$103.0k13.221%13.2%309,052309k$101,345.756295$101,345.756295$101.3k19.083%19.1%37851$99,759.321693$99,759.321693$99.8k16.285%16.3%2,32254$96,952.592832$96,952.592832$97.0k17.035%17.0%1,2981,29958$91,362.096648$91,362.096648$91.4k11.741%11.7%1,65660$86,264.487385$86,264.487385$86.3k17.523%17.5%1,72364$82,803.351939$82,803.351939$82.8k17.526%17.5%71771870$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$75,299.000000$75,299.000000$75.3k10.273%10.3%3,534,0223.53M$72,586.000000$72,586.000000$72.6k10.036%10.0%14,852,82814.9M$72,390.099506$72,390.099506$72.4k6.453%6.45%77475$69,257.114514$69,257.114514$69.3k8.242%8.24%87087177$64,475.094763$64,475.094763$64.5k7.098%7.10%37083$54,015.061153$54,015.061153$54.0k5.314%5.31%737486$52,008.340947$52,008.340947$52.0k6.424%6.42%28087$52,000.000000$52,000.000000$52.0k3.350%3.35%4288$52,000.000000$52,000.000000$52.0k3.350%3.35%2389$40,192.000000$40,192.000000$40.2k8.171%8.17%24490

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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