Table 3

Disparities in per capita tobacco retailer density in Ohio at baseline and following each licensing-law strategy

Licensing-law strategyAfrican–AmericanHispanicPovertyPopulation under 18Urban vs suburbanRural vs urban
No strategy (baseline)0.330.390.51−0.07−0.210.06
Capping-based, 1 per thousand* 0.36 0.410.50−0.06−0.210.07
Capping-based, 0.7 per thousand*0.350.35 0.46 −0.040.12 0.10
Declustering-based, 200 ft.*0.330.390.50−0.06−0.200.06
Declustering-based, 500 ft* 0.29 0.35 0.46 −0.060.16 0.10
School-based, 500 ft of a school 0.31 0.36 0.50 −0.080.19 0.07
School-based, 1000 ft of a school 0.23 0.27 0.43 −0.100.14 0.13
Pharmacy-based 0.35 0.41 0.54 0.05 −0.210.08
Capping-based and school-based* 0.26 0.25 0.38 −0.060.06 0.03
Pharmacy-based and school-based 0.24 0.28 0.45 −0.080.14 0.15
  • With the exception of urban/suburban/rural, for each demographic characteristic, disparities are calculated as the difference in mean log retailer density for high-prevalence versus low-prevalence census tracts. For urban/suburban/rural, comparisons are made relative to urban census tracts. Lower values from baseline indicate the disparity is reduced.

  • Bold values indicate that the median value of the disparity in a given policy approach is significantly different from the baseline disparity.

  • *A policy that was implemented at random (250 times) to explore the potential variation (statistical uncertainty) of carrying out this strategy. The table provides the median value over the 250 randomizations.