Race, Diversity, and Ethnicity in 73026, OK

The map below shows majority race by area in 73026, 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 73026 racial diversity and diversity scores. Click here to scroll to diversity data.

73026, OK map of race and ethnicity
Click the map to explore
White
Hispanic
Black
Asian
Multiple/Other
WhiteHispanicBlackAsianMultiple/Other
Majority race by area

The majority race in 73026 overall is white, making up 81.5% of residents. The next most-common racial group is native american at 6.5%. There are more white people in the central areas of the zip. People who identify as native american 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 73026
Race
73026, OK Population
White
81.5%
Hispanic
5.3%
Black
1.6%
Asian
0.2%
Native American
6.5%
Other
4.9%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
73026, OK Population
White
81.5%
Hispanic
5.3%
Black
1.6%
Asian
0.2%
Native American
6.5%
Other
4.9%
   

Diversity and Diversity Scores for 73026, OK

The map below shows diversity in 73026. 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.

73026, OK map of race and ethnicity
Click the map to explore

Diversity Score

Diverse
Moderately diverse
No diversity
 

73026 Diversity Score

68

With a diversity score of 68 out of 100, 73026 is more diverse than other US zip codes. The most diverse area within 73026's proper boundaries is to the east of the zip. The least diverse areas are located in the central parts of 73026.

Data Sources: U.S. Census, proprietary data mapping and analysis. Special thanks to the University of Virginia.

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