On the wrong side of the tracts? Evaluating the accuracy of geocoding in public health research
N Krieger, P Waterman, K Lemieux, S Zierler and JW Hogan
Department of Health and Social Behavior, Harvard School of Public Health, 677 Huntington Ave, Boston, MA 02115, USA. nkrieger@hsph.harvard.edu
OBJECTIVES: This study sought to determine the accuracy of geocoding for
public health databases. METHODS: A test file of 70 addresses, 50 of which
involved errors, was generated, and the file was geocoded to the census
tract and block group levels by 4 commercial geocoding firms. Also, the
"real world" accuracy of the best-performing firm was evaluated. RESULTS:
Accuracy rates in regard to geocoding of the test file ranged from 44% (95%
confidence interval [CI] = 32%, 56%) to 84% (95% CI = 73%, 92%). The
geocoding firm identified as having the best accuracy rate correctly
geocoded 96% of the addresses obtained from the public health databases.
CONCLUSIONS: Public health studies involving geocoded databases should
evaluate and report on methods used to verify accuracy.
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