The map below shows majority race by area in Lost Hills, 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 Lost Hills racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Lost Hills overall is hispanic, making up 97.3% of residents. The next most-common racial group is white at 2.4%. 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 north 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 Lost Hills
Self-Identified Race |
Lost Hills, CA Population |
|---|---|
White |
2.4% |
Hispanic |
97.3% |
Black |
0.0% |
Asian |
0.0% |
Native American |
0.1% |
Other |
0.2% |
Diversity and Diversity Scores for Lost Hills, CA
The map below shows diversity in Lost Hills. 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.
Lost Hills Diversity Score
5.3
More diverse than 7% of US cities
Lost Hills has a diversity score of 5.3: 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. Lost Hills is much less diverse than other US cities, more diverse than 7% of them. Within Lost Hills's proper boundaries, the most diverse area is north Lost Hills, and the least diverse areas are in central Lost Hills.
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.