Fig 1.
Map of the 7 city council districts in Seattle, WA.
Salmon sample numbers obtained from grocery stores or sushi restaurants for each city council district in Seattle, WA. are displayed. Seattle basemap is the intellectual property of Esri (Redlands, California) and is used herein under license and permission by Esri. Copyright @ 2013 Esri. All rights reserved. Map sources include Esri, HERE, Garmin, Intermap, increment P Corp., GEBCO, USGS, FAO, NPS, NRCAN, GeoBase, IGN, Kadaster NL, Ordnance Survey, Esri Japan, METI, Esri China (Hong Kong), (c) OpenStreetMap contributors, US Census Bureau, and the GIS User Community.
Fig 2.
Salmon mislabeling rates in grocery stores vs sushi restaurants in Seattle, WA.
Mislabeling rates identified by DNA sequencing are displayed (percent per category) as stacked bars. Percent per stack was calculated as follows = [(total mislabeled samples in a category)/(total samples of all categories)]*100%. Correctly labeled samples are also shown.
Table 1.
Salmon substitutions in Seattle WA.
Grocery stores.
Table 2.
Salmon substitutions in Seattle WA.
Sushi restaurants.
Fig 3.
Wild salmon mislabeling rates in Seattle, WA.
Wild salmon mislabeling rates were determined in Seattle grocery store samples (n = 54) vs sushi restaurant samples (n = 31). A) Wild to farmed salmon substitution rates were calculated as follows = [(total wild to farmed salmon mislabeled samples)/(total vendor claimed wild salmon samples)]*100%. B) Overall wild salmon substitution rates were calculated as follows = [(total wild salmon substituted with another wild or farmed salmon species)/(total vendor claimed wild salmon samples)]*100%. * p < 0.05; **** p < 0.0001.
Fig 4.
Customer gain vs loss analysis due to salmon substitutions in Seattle, WA.
Grocery stores vs sushi restaurants. The median customer financial gain or loss ($/pound) of each mislabeled sample in Seattle grocery stores vs sushi restaurants are shown. The bars display the 95% CI of the median. * p < 0.05.