The map below shows majority race by area in Candia Four Corners, 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 Candia Four Corners racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in Candia Four Corners overall is white, making up 96.9% of residents. The next most-common racial group is hispanic at 1.6%. There are more white people in the northwest 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 |
Candia Four Corners, NH Population |
|---|---|
White |
96.9% |
Hispanic |
1.6% |
Black |
0.1% |
Asian |
0.0% |
Native American |
0.0% |
Other |
1.4% |
Racial Distribution Key
White
Hispanic
Black
Asian
Native American
Other
Self-Identified Race |
Candia Four Corners, NH Population |
|---|---|
White |
96.9% |
Hispanic |
1.6% |
Black |
0.1% |
Asian |
0.0% |
Native American |
0.0% |
Other |
1.4% |
Diversity and Diversity Scores for Candia Four Corners, NH
The map below shows diversity in Candia Four Corners. 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.
Diversity Score
Diverse
Moderately diverse
No diversity
Candia Four Corners Diversity Score
19
With a diversity score of 19 out of 100, Candia Four Corners is much less diverse than other US cities. The most diverse area within Candia Four Corners's proper boundaries is to the northwest of the city. The least diverse areas are located in the east parts of Candia Four Corners.
Data Sources: U.S. Census, proprietary data mapping and analysis. Special thanks to the University of Virginia.
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