The map below shows majority race by area in Shiprock, 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 Shiprock racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Shiprock overall is native american, making up 94.2% of residents. The next most-common racial group is hispanic at 2.7%. There are more native american people in the southwest areas of the city. People who identify as hispanic are most likely to be living in the east 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 Shiprock
Self-Identified Race |
Shiprock, NM Population |
|---|---|
White |
1.3% |
Hispanic |
2.7% |
Black |
0.0% |
Asian |
0.9% |
Native American |
94.2% |
Other |
0.9% |
Diversity and Diversity Scores for Shiprock, NM
The map below shows diversity in Shiprock. 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.
Shiprock Diversity Score
11.2
More diverse than 23% of US cities
Shiprock has a diversity score of 11.2: 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. Shiprock is less diverse than other US cities, more diverse than 23% of them. Within Shiprock's proper boundaries, the most diverse area is west Shiprock, and the least diverse areas are in southwest Shiprock.
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.