Race, Diversity, and Ethnicity in 20899, MD

The map below shows majority race by area in 20899, 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 20899 racial diversity and diversity scores. Click here to scroll to diversity data.

20899, MD map of race and ethnicity
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White
Hispanic
Black
Asian
Multiple/Other
WhiteHispanicBlackAsianMultiple/Other
Majority race by area

The majority race in 20899 overall is other, making up 100.0% of residents. There are no other races identified in the zip, meaning there is no racial diversity. There are more other people in the central areas of the zip. 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 20899

 
Self-Identified Race
20899, MD Population
White
0.0%
Hispanic
0.0%
Black
0.0%
Asian
0.0%
Native American
0.0%
Other
100.0%
   

Diversity and Diversity Scores for 20899, MD

The map below shows diversity in 20899. 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.

20899, MD map of race and ethnicity
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Less diverse More diverse
Colorblind friendly off

20899 Diversity Score

0.0

More diverse than 0% of US zip codes

20899 has a diversity score of 0.0: 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. 20899 is much less diverse than other US zip codes, more diverse than 0% of them.

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.