Descriptive Title: Population per square mile

Geographic Unit of Analysis: Census tract

Population Density (2010)
NeighborhoodTotal PopulationPopulation per square mile
Bayview/Hunter's Point 33,989 6,945
Bernal Heights 25,772 22,066
Castro/Upper Market 19,712 23,023
Chinatown 9,424 70,416
Excelsior 38,096 23,768
Financial District/South Beach 6,898 9,941
Glen Park
Golden Gate Park 171 101
Haight Ashbury 21,222 27,823
Hayes Valley
Inner Richmond 35,256 26,842
Inner Sunset 25,381 19,012
Japantown
Lakeshore 19,503 5,350
Lincoln Park
Lone Mountain/USF
Marina 21,082 21,748
McLaren Park
Mission 55,059 31,818
Mission Bay
Nob Hill 22,169 60,140
Noe Valley 19,430 21,666
North Beach 12,637 20,250
Oceanview/Merced/Ingleside
Outer Mission 27,588 20,054
Outer Richmond 35,887 26,444
Pacific Heights 18,968 28,321
Portola
Potrero Hill 12,394 9,041
Presidio 2,986 1,255
Presidio Heights 7,906 17,975
Russian Hill 17,434 36,565
San Francisco 805,235 17,081
Seacliff 2,563 3,554
South of Market 31,342 22,658
Sunset/Parkside
Tenderloin
Treasure Island 2,880 3,242
Twin Peaks 6,862 10,345
Visitacion Valley 23,960 16,164
West of Twin Peaks 20,521 10,848
Western Addition 51,748 34,121

Data Source

2010 US Census.

Map and table created by San Francisco Department of Public Health, Environmental Health Section using ArcGIS software.

Map data is presented at the level of the census tract.. The map also includes planning neighborhood names, in the vicinity of their corresponding census tracts.

Table data is presented by planning neighborhood. While planning neighborhoods are larger geographic areas than census tracts, census tracts do not always lie completely within a planning neighborhood. SFDPH used ArcGIS software and a dasymetric mapping technique to attribute Census block group data to residential lots. We then assigned residential lots to planning neighborhoods to calculate Census population totals within the neighborhoods.

Detailed information regarding dasymetric mapping, census data, geographic units of analysis, their definitions, and their boundaries can be found at the following links:

http://www.SustainableSF.org/etc/Geographic_Units_of_Analysis.pdf

http://www.SustainableSF.org/data_map_methods.php