The map below shows majority race by area in Ware Place, 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 Ware Place racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Ware Place overall is white, making up 68.0% of residents. The next most-common racial group is hispanic at 17.6%. There are more white people in the southeast areas of the city. People who identify as hispanic are most likely to be living in the east 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 Ware Place
Self-Identified Race |
Ware Place, SC Population |
|---|---|
White |
68.0% |
Hispanic |
17.6% |
Black |
4.8% |
Asian |
4.1% |
Native American |
0.0% |
Other |
5.4% |
Diversity and Diversity Scores for Ware Place, SC
The map below shows diversity in Ware Place. 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.
Ware Place Diversity Score
49.9
More diverse than 83% of US cities
Ware Place has a diversity score of 49.9: 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. Ware Place is much more diverse than other US cities, more diverse than 83% of them. Within Ware Place's proper boundaries, the most diverse area is east Ware Place, and the least diverse areas are in southeast Ware Place.
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.