It’s easy to gloss over the details in all the hubbub over the feature I just published with Slate and the Food and Environment Reporting Network, “Can Whole Foods Really Chance the Way Poor People Eat?” But I would encourage anyone interested in the nuts and bolts of food reporting to pay attention to the data set we amassed for the piece.
What’s the big deal with the data?
Comparing food prices between stores is phenomenally difficult to do well. Brand names, sale prices, different sized packaging…all of it gets very confusing, very quickly. The USDA does track food prices, but only at the bulk level—for a pound of green peas, for example. But most of us don’t buy just a pound of shelled green peas. We buy Green Giant, or we buy Cascadian Farmr, or we buy White Rose, with all the presumed differences between them affecting price. There simply isn’t anywhere that researchers can go, let alone consumers, to see a coherent comparison with name brands. Until now.
