The map below shows majority race by area in Hyde Park, 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 Hyde Park racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Hyde Park overall is white, making up 97.7% of residents. The next most-common racial group is hispanic at 1.4%. There are more white people in the northwest areas of the city. People who identify as hispanic are most likely to be living in the southwest 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 Hyde Park
Self-Identified Race |
Hyde Park, VT Population |
|---|---|
White |
97.7% |
Hispanic |
1.4% |
Black |
0.0% |
Asian |
0.3% |
Native American |
0.0% |
Other |
0.6% |
Diversity and Diversity Scores for Hyde Park, VT
The map below shows diversity in Hyde Park. 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.
Hyde Park Diversity Score
4.5
More diverse than 6% of US cities
Hyde Park has a diversity score of 4.5: 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. Hyde Park is much less diverse than other US cities, more diverse than 6% of them. Within Hyde Park's proper boundaries, the most diverse area is southwest Hyde Park, and the least diverse areas are in northwest Hyde Park.
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.