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Explore equity and inequity in health, wealth and civic engagement in the USA.

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June 2020

Of all Americans who live in a ZIP code with a high median income, 16% report personal discrimination by the police.

Margin of error = ±2.4%
12009FL, Brevard1
22055LA, Lafayette1
19153IA, Polk2
27139MN, Scott1
34027NJ, Morris1
37183NC, Wake1
06073CA, San Diego1
06037CA, Los Angeles1
15003HI, Honolulu1
35049NM, Santa Fe1
17089IL, Kane1
51059VA, Fairfax1
36029NY, Erie2
35001NM, Bernalillo1
13067GA, Cobb1
06013CA, Contra Costa1
26139MI, Ottawa1
48453TX, Travis1
34003NJ, Bergen1
36119NY, Westchester1
12111FL, St. Lucie1
36005NY, Bronx1
06059CA, Orange1
11001DC, District of Columbia1
53063WA, Spokane1
42021PA, Cambria1
37069NC, Franklin1
51179VA, Stafford1
04019AZ, Pima1
04013AZ, Maricopa1
24005MD, Baltimore2
09001CT, Fairfield1
12097FL, Osceola2
12035FL, Flagler1
51041VA, Chesterfield1
17043IL, DuPage1
06077CA, San Joanquin2
10003DE, New Castle1
12057FL, Hillsborough1
36061NY, New York1
32003NV, Clark1
08005CO, Arapahoe1
48439TX, Tarrant1
08031CO, Denver1
33013NH, Merrimack1
17031IL, Cook1
53061WA, Snohomish1
22033LA, East Baton Rouge1
34023NJ, Middlesex1
29095MO, Jackson1
06067CA, Sacramento1
42033PA, Clearfield1
18003IN, Allen1
02020AK, Anchorage1
08035CO, Douglas1
26049MI, Genesee1
29027MO, Callaway1
06075CA, San Francisco1
12086FL, Miami-Dade1
06093CA, Siskiyou1
21015KY, Boone2
36081NY, Queens1
19045IA, Clinton1
42095PA, Northampton1
48303TX, Lubbock2
39089OH, Licking1
08059CO, Jefferson1
48201TX, Harris2
23001ME, Androscoggin1
39049OH, Franklin1
27003MN, Anoka1
09009CT, New Haven1
18039IN, Elkhart1
48179TX, Gray1
36059NY, Nassau1
53045WA, Mason1
12009FL, Brevard1
22055LA, Lafayette1
19153IA, Polk2
27139MN, Scott1
34027NJ, Morris1
37183NC, Wake1
06073CA, San Diego1
06037CA, Los Angeles1
15003HI, Honolulu1
35049NM, Santa Fe1
17089IL, Kane1
51059VA, Fairfax1
36029NY, Erie2
35001NM, Bernalillo1
13067GA, Cobb1
06013CA, Contra Costa1
26139MI, Ottawa1
48453TX, Travis1
34003NJ, Bergen1
36119NY, Westchester1
12111FL, St. Lucie1
36005NY, Bronx1
06059CA, Orange1
11001DC, District of Columbia1
53063WA, Spokane1
42021PA, Cambria1
37069NC, Franklin1
51179VA, Stafford1
04019AZ, Pima1
04013AZ, Maricopa1
24005MD, Baltimore2
09001CT, Fairfield1
12097FL, Osceola2
12035FL, Flagler1
51041VA, Chesterfield1
17043IL, DuPage1
06077CA, San Joanquin2
10003DE, New Castle1
12057FL, Hillsborough1
36061NY, New York1
32003NV, Clark1
08005CO, Arapahoe1
48439TX, Tarrant1
08031CO, Denver1
33013NH, Merrimack1
17031IL, Cook1
53061WA, Snohomish1
22033LA, East Baton Rouge1
34023NJ, Middlesex1
29095MO, Jackson1
06067CA, Sacramento1
42033PA, Clearfield1
18003IN, Allen1
02020AK, Anchorage1
08035CO, Douglas1
26049MI, Genesee1
29027MO, Callaway1
06075CA, San Francisco1
12086FL, Miami-Dade1
06093CA, Siskiyou1
21015KY, Boone2
36081NY, Queens1
19045IA, Clinton1
42095PA, Northampton1
48303TX, Lubbock2
39089OH, Licking1
08059CO, Jefferson1
48201TX, Harris2
23001ME, Androscoggin1
39049OH, Franklin1
27003MN, Anoka1
09009CT, New Haven1
18039IN, Elkhart1
48179TX, Gray1
36059NY, Nassau1
53045WA, Mason1
Locations of the survey respondents who met these two criteria.

In May 2022, the rate was 14%

With a national sample of 1,231 individuals, we unfortunately have too few respondents in the following categories to show representative results: Asian Americans, Native Americans, More than one race, and Nonbinary/another gender. We are committed to more research on these populations.

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