Descriptive Title: Percent of households with 1 person or fewer per habitable room (i.e. not overcrowded)
Geographic Unit of Analysis: Census tract
|Percent of households with 1 person or fewer per habitable room (not overcrowded) (2005-2009)|
|Financial District/South Beach||94.3%||1.6%|
|Golden Gate Park||NA||NA|
|South of Market||91.9%||0.9%|
|West of Twin Peaks||99.3%||2.4%|
|Housing stock by number of bedrooms||2000||2009-2011|
|Number of Bedrooms||Units||Percent||Units*||Percent|
|Four or more bedrooms||24,328||7%||34,679||9%|
|* Note that 2009-2011 unit count by bedroom is an estimate.|
|Data source: 2000 US Census and 2009-2011 American Community Survey|
For this indicator, overcrowding, as defined by the U.S. Department of Housing and Urban Development (HUD), is greater than 1.01 people per habitable room. Severe overcrowding is defined as greater than 1.51 people per habitable room. Because overcrowded units are the minority, estimates of overcrowding from the American Community Survey were statistically unreliable (statistical reliability increases with when the number of people falling into a category increases). Thus, data are presented as the number of units that are NOT overcrowded. Therefore, neighborhoods and census tracts with a LOWER percentage of households that are NOT overcrowded should be interpreted as a poor outcome.
The neighborhoods that have the fewest households living in uncrowded conditions are Chinatown, Visitacion Valley, Downtown/Civic Center, and Oceanview. The situation in Chinatown is particularly bad, with only 76% of households living in uncrowded conditions. The neighborhoods with the most people living in uncrowded households are Twin Peaks, Diamond Heights/Glen Park, Presidio Heights, and Noe Valley.
Data was obtained from the American Community Survey (ACS). Living rooms, dining rooms, kitchens, bedrooms, finished recreation rooms, enclosed porches suitable for year-round use, and lodger’s rooms are included. Excluded are strip or Pullman kitchens, bathrooms, open porches, balconies, halls or foyers, half rooms, utility rooms, unfinished attics or basements, or other unfinished spaces used for storage. A partially divided room is considered a separate room only if there is a partition from floor to ceiling, but not if the partition consists solely of shelves or cabinets.
The total number of households with 1 person or less per room was divided by the total number of occupied households and the margins of error were recalculated using the ACS users handbook. For more information on the margin of error or ACS guidance, please visit: http://www.census.gov/acs/www/guidance_for_data_users/handbooks/
The 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 estimate 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 statistically unstable. A coefficient of variation of 30% was used to determine statistical instability.
HUD notes that renters, lower income households, and foreign-born population living in central cities are more likely to live in overcrowded homes. These populations have been noted to be more frequently missed by the Census, and this this data may overestimate the number of households living in uncrowded homes.
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 cases, certain census tracts were re-designated to different neighborhoods based on knowledge of the population dispersion in the tract.
Number of bedrooms from the 2000 US Census and the 2009-2011 American Community Survey.