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. Author manuscript; available in PMC: 2014 Apr 7.
Published in final edited form as: Addict Behav. 2011 Mar 1;36(7):777–780. doi: 10.1016/j.addbeh.2011.02.009

Table 1.

Correlation matrix of the total state count and ZIP Code Business Patterns sub-classifications

State
Count
ZIP-BP
Count
Supermkt
Groceries
Conv
Stores
Beer,
Wine,
Liquor
Stores
Gas
Stations
Full-
Service
Rest.
Drinking
Places
State Count 1
ZIP-BP
Count
0.89*** 1
Supermkts/
Groceries
0.57*** 0.64*** 1
Convenience
Stores
0.42*** 0.46*** 0.55*** 1
Beer, Wine,
Liquor Store
0.38*** 0.48*** 0.50*** 0.30*** 1
Gas Stations 0.51*** 0.57*** 0.37*** 0.22*** 0.18** 1
Full-Service
Restaurant
0.81*** 0.91*** 0.40*** 0.22*** 0.31*** 0.36*** 1
Drinking
Places
0.58*** 0.60*** 0.28*** 0.29*** 0.16* 0.25*** 0.45*** 1

Notes: n=266 ZIP codes and 44 schools.

*

p<0.05;

**

p<0.01;

***

p<0.001 (two-tailed tests)

The sample breakdown for the different types of establishments across the study sites is: Supermarkets/Grocery: 13.15%; Convenience Stores: 6.38%; Beer/Wine/Liquor Stores: 6.48%; Gas Stations/Convenience Stores: 13.71%; Full-Service Restaurants: 50.17%; and Drinking Places: 10.09%.