Race, Diversity, and Ethnicity in Silver Terrace, San Francisco, CA

The map below shows majority race by area in Silver Terrace, as self-identified on the US census. Darker shades indicate a larger racial majority in that neighborhood. This page also contains data and maps on Silver Terrace racial diversity and diversity scores. Click here to scroll to diversity data.

Silver Terrace, San Francisco, CA map of race and ethnicity
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White
Hispanic
Black
Asian
Multiple/Other
WhiteHispanicBlackAsianMultiple/Other
Majority race by area

The majority race in Silver Terrace overall is asian, making up 60.7% of residents. The next most-common racial group is hispanic at 15.9%. There are more asian people in the central areas of the neighborhood. People who identify as hispanic are most likely to be living in the southwest places. The data below shows how many people identify themselves as each of the following races, which most Americans base on their family's national origin:

Race in Silver Terrace

 
Self-Identified Race
Silver Terrace, San Francisco, CA Population
White
8.6%
Hispanic
15.9%
Black
11.5%
Asian
60.7%
Native American
0.0%
Other
3.4%
   

Diversity and Diversity Scores for Silver Terrace, San Francisco, CA

The map below shows diversity in Silver Terrace. Areas in green are more diverse, while areas in red are much less diverse. Diversity, in this case, means a mixture of people with different race and ethnicity living close to one another. For example, all-black and all-white areas in the neighborhood would both be considered lacking diversity.

Silver Terrace, San Francisco, CA map of race and ethnicity
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Colorblind friendly off

Silver Terrace Diversity Score

79

With a diversity score of 79 out of 100, Silver Terrace is more diverse than other US neighborhoods. The most diverse area within Silver Terrace's proper boundaries is to the north of the neighborhood. The least diverse areas are located in the southwest parts of Silver Terrace.

Data Sources: U.S. Census, proprietary data mapping and analysis. Special thanks to the University of Virginia.

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