The map below shows majority race by area in Green Lane, 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 Green Lane racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Green Lane overall is white, making up 91.0% of residents. The next most-common racial group is other at 3.3%. There are more white people in the southwest areas of the city. People who identify as other are most likely to be living in the northeast 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 Green Lane
Self-Identified Race |
Green Lane, PA Population |
|---|---|
White |
91.0% |
Hispanic |
3.2% |
Black |
1.4% |
Asian |
1.2% |
Native American |
0.0% |
Other |
3.3% |
Diversity and Diversity Scores for Green Lane, PA
The map below shows diversity in Green Lane. 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.
Green Lane Diversity Score
17.0
More diverse than 39% of US cities
Green Lane has a diversity score of 17.0: 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. Green Lane is less diverse than other US cities, more diverse than 39% of them. Within Green Lane's proper boundaries, the most diverse area is central Green Lane, and the least diverse areas are in southwest Green Lane.
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.