Race, Diversity, and Ethnicity in Historic Uptown, St. Petersburg, FL

The map below shows majority race by area in Historic Uptown, 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 Historic Uptown racial diversity and diversity scores. Click here to scroll to diversity data.

Historic Uptown, St. Petersburg, FL map of race and ethnicity
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White
Hispanic
Black
Asian
Multiple/Other
WhiteHispanicBlackAsianMultiple/Other
Majority race by area

The majority race in Historic Uptown overall is white, making up 76.6% of residents. The next most-common racial group is hispanic at 11.3%. There are more white people in the northeast areas of the neighborhood. 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 Historic Uptown

 
Self-Identified Race
Historic Uptown, St. Petersburg, FL Population
White
76.6%
Hispanic
11.3%
Black
5.0%
Asian
0.5%
Native American
0.0%
Other
6.6%
   

Diversity and Diversity Scores for Historic Uptown, St. Petersburg, FL

The map below shows diversity in Historic Uptown. 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.

Historic Uptown, St. Petersburg, FL map of race and ethnicity
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More diverse Less diverse
Colorblind friendly off

Historic Uptown Diversity Score

27

With a diversity score of 27 out of 100, Historic Uptown is less diverse than other US neighborhoods. The most diverse area within Historic Uptown's proper boundaries is to the west of the neighborhood. The least diverse areas are located in the northeast parts of Historic Uptown.

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

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