The map below shows majority race by area in Topaz Ranch Estates, 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 Topaz Ranch Estates racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in Topaz Ranch Estates overall is white, making up 77.1% of residents. The next most-common racial group is hispanic at 13.2%. 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 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 |
Topaz Ranch Estates, NV Population |
|---|---|
White |
77.1% |
Hispanic |
13.2% |
Black |
2.5% |
Asian |
0.3% |
Native American |
1.5% |
Other |
5.3% |
Racial Distribution Key
White
Hispanic
Black
Asian
Native American
Other
Self-Identified Race |
Topaz Ranch Estates, NV Population |
|---|---|
White |
77.1% |
Hispanic |
13.2% |
Black |
2.5% |
Asian |
0.3% |
Native American |
1.5% |
Other |
5.3% |
Diversity and Diversity Scores for Topaz Ranch Estates, NV
The map below shows diversity in Topaz Ranch Estates. 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
Topaz Ranch Estates Diversity Score
86
With a diversity score of 86 out of 100, Topaz Ranch Estates is much more diverse than other US cities. The most diverse area within Topaz Ranch Estates's proper boundaries is to the central of the city. The least diverse areas are located in the central parts of Topaz Ranch Estates.
Data Sources: U.S. Census, proprietary data mapping and analysis. Special thanks to the University of Virginia.
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