Table 2.

Performance of the commercial business list relative to direct ground observation on 155 Bronx street segments, overall and by broad business category

		Broad Business Categories
Businesses selling any food or beverage	OVERALL (N = 234)	General grocers (N = 42)	Specialty-food stores (N = 26)	Restaurants (N = 110)	Businesses not primarily selling food (N = 56)
By strict “matches”
Sensitivity	39.3 (33.0, 45.9)	26.2 (13.9, 42.0)	30.8 (14.3, 51.8)	45.5 (35.9, 55.2)	41.1 (28.1, 55.0)
Positive predictive value	45.5 (38.5, 52.7)	34.4 (18.6, 53.2)	32.0 (14.9, 53.5)	56.8 (45.8, 67.3)	40.4 (27.6, 54.2)
By lenient “matches”
Sensitivity	58.1 (51.5, 64.5)	52.4 (36.4, 68.0)	57.7 (36.9, 76.6)	60.0 (50.2, 69.2)	58.9 (45.0, 71.9)
Positive predictive value	67.3 (60.4, 73.7)	68.8 (50.0, 83.9)	60.0 (38.7, 78.9)	75.0 (64.6, 83.6)	57.9 (44.1, 70.9)

All values in table are percentages. Values in parentheses are 95% confidence intervals. N values in header are the numbers of businesses directly observed on the ground. Strict match = two businesses with the same or consistent name: could have difference in notation and/or spelling, but seemingly the same business in both datasets (examples: “Parrilla Latina Restaurant” vs. “Parilla Dominicano”, “Franko Deli” vs. “Franco’s Heroes and Sandwiches”, “Jumbo Hamburger” vs. “Jimbo’s Hamburgers”); lenient match = two businesses that may have different names in each dataset but thought to be of a consistent business type based on names (examples: “Nacho Pizza” vs. “Original Tony’s Pizza”, “C-Town Supermarket” vs. “Bravo Supermarket”, “Tseng’s Ice Cream Shop” vs. “Baskin Robbins”).