Agreement between a web collaborative dataset and an administrative dataset to assess the retail food environment in Mexico

Table 4 Cross classification by tertiles of food outlets between Google data and DENUE: by food outlets, 2021

Density of food outlets (counts/km²)	n	Correctly classified (%)^a	Misclassified (Google data underestimates) (%)^b	Misclassified (Google data overestimates) (%)^c	Weighted kappa (SE)
Specialty food stores	1693	74.7	10	15.2	0.68 (0.02)
Restaurants	1693	74.4	14.8	10.8	0.69 (0.02)
Candy and ice cream stores	1693	65.7	30.1	4.1	0.30 (0.02)
Supermarkets	1693	89.1	3.5	7.4	0.62 (0.02)
Convenience stores/small food retail stores	1693	60.6	20.1	19.3	0.49 (0.02)

DENUE National Statistical Directory of Economic Units, SE Standard Error
^aCorrectly classified = % of census tracts with density of food outlets of DENUE and Google data in the same tertile
^bMisclassified (Google data underestimates) = % of census tracts adjacently or extreme opposite tertile classified when Google data underestimates
^cMisclassified (Google data overestimates) = % of census tracts adjacently or extreme opposite tertile classified when Google data overestimates

ISSN: 1471-2458