Race, Diversity, and Ethnicity in Malta, ID

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

Malta, ID 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 Malta overall is white, making up 89.1% of residents. The next most-common racial group is hispanic at 10.7%. There are more white people in the central areas of the city. People who identify as hispanic are most likely to be living in the northeast 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 Malta
Race
Malta, ID Population
White
89.1%
Hispanic
10.7%
Black
0.0%
Asian
0.0%
Native American
0.0%
Other
0.3%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Malta, ID Population
White
89.1%
Hispanic
10.7%
Black
0.0%
Asian
0.0%
Native American
0.0%
Other
0.3%
   

Diversity and Diversity Scores for Malta, ID

The map below shows diversity in Malta. 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.

Malta, ID map of race and ethnicity
Click the map to explore

Diversity Score

Diverse
Moderately diverse
No diversity
 

Malta Diversity Score

35

With a diversity score of 35 out of 100, Malta is less diverse than other US cities. The most diverse area within Malta's proper boundaries is to the northeast of the city. The least diverse areas are located in the central parts of Malta.

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

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