The map below shows majority race by area in Bonadelle Ranchos-Madera Ranchos, 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 Bonadelle Ranchos-Madera Ranchos racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Bonadelle Ranchos-Madera Ranchos overall is white, making up 49.2% of residents. The next most-common racial group is hispanic at 38.1%. 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 |
Bonadelle Ranchos-Madera Ranchos, CA Population |
|---|---|
White |
49.2% |
Hispanic |
38.1% |
Black |
1.4% |
Asian |
4.5% |
Native American |
1.5% |
Other |
5.2% |
Racial Distribution Key
Self-Identified Race |
Bonadelle Ranchos-Madera Ranchos, CA Population |
|---|---|
White |
49.2% |
Hispanic |
38.1% |
Black |
1.4% |
Asian |
4.5% |
Native American |
1.5% |
Other |
5.2% |
Diversity and Diversity Scores for Bonadelle Ranchos-Madera Ranchos, CA
The map below shows diversity in Bonadelle Ranchos-Madera Ranchos. 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
Bonadelle Ranchos-Madera Ranchos Diversity Score
96
With a diversity score of 96 out of 100, Bonadelle Ranchos-Madera Ranchos is much more diverse than other US cities. The most diverse area within Bonadelle Ranchos-Madera Ranchos's proper boundaries is to the northeast of the city. The least diverse areas are located in the northwest parts of Bonadelle Ranchos-Madera Ranchos.
Data Sources: U.S. Census, proprietary data mapping and analysis. Special thanks to the University of Virginia.
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