Descriptive Title: Percent of population, 1 year and older, living in the same house as one year ago
Geographic Unit of Analysis: Census tract
|Percent of population, 1 year and older, living in the same house as one year ago (2005-2009)|
|Neighborhood||% living in same house as 1 year ago||90% MOE*|
|Financial District/South Beach||81.8%||5.7%|
|Golden Gate Park||NA||NA|
|South of Market||70.6%||2.8%|
|West of Twin Peaks||91.0%||2.1%|
The American Community Survey (ACS) is a sample survey, and thus, data are estimates rather than counts. Estimates have accompanying margins of error that indicate the span of values that the true value could fall within. Margins of error should be subtracted from and added to the value to determine the range of possible values. If the margin of error is too big relative to the value, data are not shown because they are statisitcally unstable. A coefficient of variation of 30% was used to determine statistical instability.
American Community Survey (ACS), 5-year Estimates, 2005-2009.
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. Planning neighborhoods are larger geographic areas than census tracts. SFDPH chose to use the San Francisco Planning Department's census tract neighborhood assignments to calculate neighborhood values. This assignment method relies on a 'centroids within' methodology to convert census tracts to geographic mean center points. Census tracts are assigned to planning neighborhoods based on the spatial location of those geographic mean center points and neighborhood totals are calculated for the table. In a few case, certain census tracts were redesignated to different neighborhoods based on knowledge of the population dispersion in the tract.
Detailed information regarding census data, geographic units of analysis, their definitions, and their boundaries can be found in the SCI at the following links: