The map below shows majority race by area in Palo Alto, 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 Palo Alto racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Palo Alto overall is hispanic, making up 57.7% of residents. The next most-common racial group is white at 39.1%. There are more hispanic people in the southwest areas of the city. People who identify as white are most likely to be living in the central 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 Palo Alto
Self-Identified Race |
Palo Alto, TX Population |
|---|---|
White |
39.1% |
Hispanic |
57.7% |
Black |
0.1% |
Asian |
1.8% |
Native American |
0.0% |
Other |
1.2% |
Diversity and Diversity Scores for Palo Alto, TX
The map below shows diversity in Palo Alto. 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.
Palo Alto Diversity Score
51.4
More diverse than 85% of US cities
Palo Alto has a diversity score of 51.4: the chance, in percent, that two residents picked at random belong to different racial or ethnic groups, from ACS race counts. A place where everyone shares one group scores 0, and an even mix of the six groups in the chart above scores the maximum, 83.3. Palo Alto is much more diverse than other US cities, more diverse than 85% of them. Within Palo Alto's proper boundaries, the most diverse area is central Palo Alto, and the least diverse areas are in southwest Palo Alto.
Source: BestNeighborhood calculations from the U.S. Census Bureau, American Community Survey (ACS) 2020-2024 5-year estimates (race and Hispanic origin); proprietary data mapping and analysis. Special thanks to the University of Virginia.