The map below shows majority race by area in San Lawrence 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 San Lawrence Terrace racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in San Lawrence Terrace overall is white, making up 74.5% of residents. The next most-common racial group is hispanic at 19.0%. There are more white people in the central areas of the city. People who identify as hispanic are most likely to be living in the northeast 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 |
San Lawrence Terrace, CA Population |
|---|---|
White |
74.5% |
Hispanic |
19.0% |
Black |
0.2% |
Asian |
0.6% |
Native American |
3.8% |
Other |
1.8% |
Racial Distribution Key
White
Hispanic
Black
Asian
Native American
Other
Self-Identified Race |
San Lawrence Terrace, CA Population |
|---|---|
White |
74.5% |
Hispanic |
19.0% |
Black |
0.2% |
Asian |
0.6% |
Native American |
3.8% |
Other |
1.8% |
Diversity and Diversity Scores for San Lawrence Terrace, CA
The map below shows diversity in San Lawrence 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 city would both be considered lacking diversity.
Diversity Score
Diverse
Moderately diverse
No diversity
San Lawrence Terrace Diversity Score
80
With a diversity score of 80 out of 100, San Lawrence Terrace is more diverse than other US cities. The most diverse area within San Lawrence Terrace's proper boundaries is to the northeast of the city. The least diverse areas are located in the central parts of San Lawrence Terrace.
Data Sources: U.S. Census, proprietary data mapping and analysis. Special thanks to the University of Virginia.
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