The map below shows majority race by area in Cross Fork, 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 Cross Fork racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Cross Fork overall is white, making up 94.2% of residents. The next most-common racial group is other at 2.5%. There are more white people in the central areas of the city. People who identify as other are most likely to be living in the southeast 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 Cross Fork
Self-Identified Race |
Cross Fork, PA Population |
|---|---|
White |
94.2% |
Hispanic |
2.0% |
Black |
1.2% |
Asian |
0.0% |
Native American |
0.1% |
Other |
2.5% |
Diversity and Diversity Scores for Cross Fork, PA
The map below shows diversity in Cross Fork. 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.
Cross Fork Diversity Score
11.1
More diverse than 22% of US cities
Cross Fork has a diversity score of 11.1: 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. Cross Fork is less diverse than other US cities, more diverse than 22% of them. Within Cross Fork's proper boundaries, the most diverse area is southeast Cross Fork, and the least diverse areas are in central Cross Fork.
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.