The map below shows majority race by area in Gulde, 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 Gulde racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in Gulde overall is white, making up 83.5% of residents. The next most-common racial group is black at 12.6%. There are more white people in the south areas of the city. People who identify as black 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 in Gulde
Self-Identified Race |
Gulde, MS Population |
|---|---|
White |
83.5% |
Hispanic |
0.7% |
Black |
12.6% |
Asian |
0.0% |
Native American |
0.0% |
Other |
3.2% |
Diversity and Diversity Scores for Gulde, MS
The map below shows diversity in Gulde. 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.
Less diverse
More diverse
Colorblind friendly
off
Gulde Diversity Score
28.6
More diverse than 60% of US cities
Gulde has a diversity score of 28.6: 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. Gulde is about average for diversity versus other US cities, more diverse than 60% of them. Within Gulde's proper boundaries, the most diverse area is south Gulde, and the least diverse areas are in central Gulde.
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.