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Racial Disparity in Arrests

Some Warning on Interpreting These Crime Statistics
Sanford Weisberg
University of Minnesota, School of Statistics

Criminal justice statistics, like most statistics, rarely "speak for themselves," but rather require the user to supply a proper context to understand and interpret the numbers. For these tables, here are some of the relevant issues.

Where do the data come from? The population figures are for 1999, and were estimates from the U. S. Census Bureau, while the arrest statistics are from the Justice Statistics Center at Minnesota Planning. Both breakdown the numbers by racial group. Do the two sources use the same methodology to determine who, for example, is an American Indian? It is possible that the Census method, probably based on self-report of individuals, results in more people assigned to this group than the state's method, which may be based on the judgment of the arresting officer.

The arrest statistics are number of arrests, not number of people arrested. One person arrested several times would be counted several times.

This is not experimental data, but rather an observational study. Any observed differences in rates could be due to other, uncontrolled, factors. For example, if the age or income distributions of racial groups are different, then differences in rates may be due to age or income differences, not racial differences.

Is the rate arrests per 1000 population in a group a relevant number? Would not a more relevant number be the number of arrests per 1000 offences in the group be better? Of course, this latter is not computable because we don't know how many offenses were committed.

An interesting article that addresses some of the issues in understanding these numbers, but in regard to arrest statistics for NFL football players, is "Criminal violence of NFL players," which appeared in Chance Magazine in Summer, 1999. You can download a copy from http://www.public.iastate.edu/~chance99 .

Arrests and Population by Race in Reservation Counties 1999
County Total Population Total Arrests White % of Population White Arrests as % of Total Arrests American Indian % of Population American Indian Arrests as % if Total Arrests
Aitkin 14,293 423 97.7% 91.5% 1.7% 8.0%
Becker 29,757 1,376 92.1% 82.0% 7.2% 16.4%
Beltrami 39,210 2,974 80.9% 59.0% 17.9% 39.9%
Carlton 31,492 1,883 94.0% 82.8% 5.0% 15.7%
Carver 67,023 2,745 97.9% 95.2% 0.3% 0.6%
Cass 27,042 1,297 87.6% 44.2% 11.7% 55.2%
Clearwater 8,146 232 91.5% 50.9% 8.2% 48.3%
Cook 4,772 131 91.2% 80.2% 7.7% 10.7%
Crow Wing 52,608 2,876 98.3% 92.6% 0.8% 4.1%
Dakota 349,131 17,727 94.9% 85.2% 0.4% 0.9%
Goodhue 43,367 2,377 98.3% 92.9% 0.7% 2.8%
Hubbard 17,031 707 97.9% 94.1% 1.9% 4.4%
Itasca 44,154 1,003 95.9% 84.6% 3.5% 13.8%
Koochiching 14,895 918 96.3% 86.5% 2.9% 11.3%
Mahnomen 5,091 30 74.2% 30.0% 25.6% 70.0%
Mille Lacs 21,350 2,726 95.8% 77.0% 3.6% 21.8%
Pine 24,616 521 96.0% 91.9% 1.9% 6.3%
Redwood 16,421 816 97.7% 70.5% 1.8% 16.7%
Saint Louis 193,433 13,057 96.3% 83.8% 2.0% 9.8%
Yellow Medicine 11,310 49 98.6% 95.9% 1.1% 4.1%