The map below shows majority race by area in Minisink Hills, 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 Minisink Hills racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in Minisink Hills overall is white, making up 66.1% of residents. The next most-common racial group is hispanic at 30.5%. There are more white people in the central areas of the city. People who identify as hispanic 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 Minisink Hills
Self-Identified Race |
Minisink Hills, PA Population |
|---|---|
White |
66.1% |
Hispanic |
30.5% |
Black |
0.0% |
Asian |
3.3% |
Native American |
0.0% |
Other |
0.0% |
Diversity and Diversity Scores for Minisink Hills, PA
The map below shows diversity in Minisink Hills. 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
Minisink Hills Diversity Score
46.8
More diverse than 80% of US cities
Minisink Hills has a diversity score of 46.8: 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. Minisink Hills is more diverse than other US cities, more diverse than 80% of them.
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.