Accuracy of commercial geocoding: assessment and implications
2006

Accuracy of Commercial Geocoding

Sample size: 3615 publication 10 minutes Evidence: moderate

Author Information

Author(s): Eric A. Whitsel, Miguel P. Quibrera, Richard L. Smith, Diane J. Catellier, Duanping Liao, Amanda C. Henley, Gerardo Heiss

Primary Institution: University of North Carolina

Hypothesis

How does the accuracy of commercial geocoding vary among different vendors and address characteristics?

Conclusion

Geocoding error depends on the measures used to evaluate it, address characteristics, and vendor selection.

Supporting Evidence

  • Vendor A had the highest address match rate at 98%.
  • Vendor D had a significantly lower match rate of 30%.
  • Mean positional error varied greatly among vendors, with Vendor A showing the lowest mean distance of 1809 meters.

Takeaway

This study looked at how well different companies can match addresses to their correct locations, finding that some do better than others.

Methodology

Addresses were geocoded by four vendors and compared based on match rates, concordance, and distance from established coordinates.

Potential Biases

Potential bias due to the elusiveness of a definitive criterion standard and the possibility of errors in the criterion standards used.

Limitations

The study's criterion standards may have been imperfect, potentially leading to overestimation of match rates and underestimation of mean positional error.

Participant Demographics

Addresses from various sources across 49 U.S. states, including participants from the Women's Health Initiative and the Atherosclerosis Risk in Communities study.

Statistical Information

P-Value

< 10^-4

Confidence Interval

95% CI: 47, 93

Statistical Significance

p<0.0001

Digital Object Identifier (DOI)

10.1186/1742-5573-3-8

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication