The map below shows majority race by area in Ocklawaha, 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 Ocklawaha racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Ocklawaha overall is white, making up 83.5% of residents. The next most-common racial group is hispanic at 10.3%. There are more white people in the north areas of the city. People who identify as hispanic are most likely to be living in the west 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 Ocklawaha
Self-Identified Race |
Ocklawaha, FL Population |
|---|---|
White |
83.5% |
Hispanic |
10.3% |
Black |
0.6% |
Asian |
0.3% |
Native American |
0.3% |
Other |
5.0% |
Diversity and Diversity Scores for Ocklawaha, FL
The map below shows diversity in Ocklawaha. 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.
Ocklawaha Diversity Score
28.9
More diverse than 60% of US cities
Ocklawaha has a diversity score of 28.9: 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. Ocklawaha is about average for diversity versus other US cities, more diverse than 60% of them. Within Ocklawaha's proper boundaries, the most diverse area is west Ocklawaha, and the least diverse areas are in north Ocklawaha.
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.