Study | Racial/ethnic composition | Economic characteristics | Urbanicity | |||
---|---|---|---|---|---|---|
InfoUSA | Dun and Bradstreet | InfoUSA | Dun and Bradstreet | InfoUSA | Dun and Bradstreet | |
Count accuracy | ||||||
 Fleischhacker [8] | N/A | N/A | N/A | N/A | No differences found | No differences found |
 Liese [15] | N/A | N/A | N/A | N/A | Urban areas had highest accuracy of stores. Rural areas had lowest accuracy of stores. Suburban areas had the lowest accuracy of restaurants | Urban areas had highest accuracy for stores and restaurants. Rural areas had lowest accuracy for stores and restaurants |
 Liese [16] | Majority white neighborhoods had lowest accuracy | No differences found | High income and non-poor neighborhoods had lowest accuracy | No differences found | N/A | N/A |
 Powell [17] | Majority black neighborhoods had lowest accuracy for food stores and restaurants. Majority non-Hispanic neighborhoods has lower accuracy for food stores | Majority black neighborhoods had lowest accuracy for restaurants and no difference for food stores | No differences found | High income areas had lowest accuracy for food stores and no differences for restaurants | Urban areas had highest accuracy of stores and restaurants. Rural areas had lowest accuracy of stores and restaurants | Urban areas had highest accuracy of stores and restaurants. Rural areas had lowest accuracy of stores and restaurants |
Classification accuracy | ||||||
 Han [23] | Majority non-Hispanic and majority black neighborhoods had lowest classification accuracy | Majority non-Hispanic and majority black neighborhoods had lowest classification accuracy | No differences found | No differences found | N/A | N/A |
Locational accuracy | ||||||
 Liese [15] | N/A | N/A | N/A | N/A | Urban areas were located with the least distance between observed and listed location. Records in suburban areas were most likely to be allocated to the correct census tract | Urban areas were located with the least distance between observed and listed location. Records in suburban areas were most likely to be allocated to the correct census tract |