The map below shows majority race by area in Sandy Hollow-Escondidas, 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 Sandy Hollow-Escondidas racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Sandy Hollow-Escondidas overall is hispanic, making up 60.1% of residents. The next most-common racial group is white at 38.7%. There are more hispanic people in the central 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 Sandy Hollow-Escondidas
Self-Identified Race |
Sandy Hollow-Escondidas, TX Population |
|---|---|
White |
38.7% |
Hispanic |
60.1% |
Black |
0.0% |
Asian |
0.0% |
Native American |
0.0% |
Other |
1.1% |
Diversity and Diversity Scores for Sandy Hollow-Escondidas, TX
The map below shows diversity in Sandy Hollow-Escondidas. 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.
Sandy Hollow-Escondidas Diversity Score
48.8
More diverse than 82% of US cities
Sandy Hollow-Escondidas has a diversity score of 48.8: 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. Sandy Hollow-Escondidas is much more diverse than other US cities, more diverse than 82% of them.
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.