The map below shows majority race by area in 96706, 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 96706 racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in 96706 overall is asian, making up 42.8% of residents. The next most-common racial group is other at 30.3%. There are more asian people in the northwest areas of the zip. People who identify as other are most likely to be living in the southwest 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 96706
Self-Identified Race |
96706, HI Population |
|---|---|
White |
12.3% |
Hispanic |
12.2% |
Black |
2.2% |
Asian |
42.8% |
Native American |
0.1% |
Other |
30.3% |
Diversity and Diversity Scores for 96706, HI
The map below shows diversity in 96706. 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 zip would both be considered lacking diversity.
Less diverse
More diverse
Colorblind friendly
off
96706 Diversity Score
69.4
More diverse than 97% of US zip codes
96706 has a diversity score of 69.4: 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. 96706 is much more diverse than other US zip codes, more diverse than 97% of them. Within 96706's proper boundaries, the most diverse area is south 96706, and the least diverse areas are in northwest 96706.
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.