The map below shows majority race by area in Dorchester 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 Dorchester Estates racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in Dorchester Estates overall is white, making up 68.8% of residents. The next most-common racial group is other at 14.6%. There are more white people in the southeast areas of the city. People who identify as other are most likely to be living in the northwest 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 |
Dorchester Estates, SC Population |
|---|---|
White |
68.8% |
Hispanic |
2.1% |
Black |
13.7% |
Asian |
0.3% |
Native American |
0.5% |
Other |
14.6% |
Racial Distribution Key
White
Hispanic
Black
Asian
Native American
Other
Self-Identified Race |
Dorchester Estates, SC Population |
|---|---|
White |
68.8% |
Hispanic |
2.1% |
Black |
13.7% |
Asian |
0.3% |
Native American |
0.5% |
Other |
14.6% |
Diversity and Diversity Scores for Dorchester Estates, SC
The map below shows diversity in Dorchester 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
Dorchester Estates Diversity Score
92
With a diversity score of 92 out of 100, Dorchester Estates is much more diverse than other US cities. The most diverse area within Dorchester Estates's proper boundaries is to the northwest of the city. The least diverse areas are located in the central parts of Dorchester Estates.
Data Sources: U.S. Census, proprietary data mapping and analysis. Special thanks to the University of Virginia.
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