The map below shows majority race by area in Lost Creek, 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 Lost Creek racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Lost Creek overall is white, making up 97.2% of residents. The next most-common racial group is hispanic at 1.5%. There are more white people in the southwest 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 Lost Creek
Self-Identified Race |
Lost Creek, KY Population |
|---|---|
White |
97.2% |
Hispanic |
1.5% |
Black |
0.0% |
Asian |
0.0% |
Native American |
0.0% |
Other |
1.3% |
Diversity and Diversity Scores for Lost Creek, KY
The map below shows diversity in Lost Creek. 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.
Lost Creek Diversity Score
5.4
More diverse than 7% of US cities
Lost Creek has a diversity score of 5.4: 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. Lost Creek is much less diverse than other US cities, more diverse than 7% of them. Within Lost Creek's proper boundaries, the most diverse area is south Lost Creek, and the least diverse areas are in southwest Lost Creek.
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.