Race, Diversity, and Ethnicity in Sussex Place, Alafaya, FL

The map below shows majority race by area in Sussex 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 Sussex Place racial diversity and diversity scores. Click here to scroll to diversity data.

Sussex Place, Alafaya, FL map of race and ethnicity
Click the map to explore
White
Hispanic
Black
Asian
Multiple/Other
WhiteHispanicBlackAsianMultiple/Other
Majority race by area

The majority race in Sussex Place overall is hispanic, making up 58.6% of residents. The next most-common racial group is white at 25.3%. There are more hispanic people in the central areas of the neighborhood. People who identify as white 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 in Sussex Place

 
Self-Identified Race
Sussex Place, Alafaya, FL Population
White
25.3%
Hispanic
58.6%
Black
9.8%
Asian
0.1%
Native American
0.0%
Other
6.2%
   

Diversity and Diversity Scores for Sussex Place, Alafaya, FL

The map below shows diversity in Sussex 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 neighborhood would both be considered lacking diversity.

Sussex Place, Alafaya, FL map of race and ethnicity
Click the map to explore
More diverse Less diverse
Colorblind friendly off

Sussex Place Diversity Score

50

With a diversity score of 50 out of 100, Sussex Place is about average for diversity versus other US neighborhoods. The most diverse area within Sussex Place's proper boundaries is to the central of the neighborhood. The least diverse areas are located in the central parts of Sussex Place.

Data Sources: U.S. Census, proprietary data mapping and analysis. Special thanks to the University of Virginia.

Nearby Neighborhoods

Neighborhoods with Similar Populations

Home Services