If the map above looks familiar, either you’re experiencing déjà vu or you read our post last year about regional price parities (RPPs), which measure cost of living in metropolitan areas. Cost of living is generally persistent over time, which is why our updated map of the 2016 RPPs looks eerily similar to last year’s map. (The data are released on a two-year lag, by the way.) A reminder: The national average cost of living is set equal to 100. So, an RPP above 100 means an area is more expensive than the national average and an RPP below 100 means it’s less expensive than the national average. Of the 349 metro areas in the data, 94 fall within 5 percent of the national average.
As we showed last year, high cost of living remains concentrated in the Northeast and on the West Coast. As of 2016, San Jose, CA, takes the title of most-expensive metro area, with a cost of living 27 percent above the national average. The Midwest and South are still the least-costly places to live. In the cheapest metro area, Morristown, TN, the cost of living is more than 20 percent below the national average.
And why are some metro areas more expensive than others? Housing. The single largest consumer expenditure category is housing, and that drives most differences in cost of living (source). The map below shows the RPPs for rents, which range from nearly 50 percent below the national average to over 200 percent above. Because households spend about 20 percent of income on housing, high rent prices beget high cost of living overall. It’s no coincidence that San Jose also has the highest rent RPP.
In contrast, the goods RPPs on the next map show much less regional variation. Unlike housing, goods are more easily tradeable, so arbitrage tends to suppress regional price differences. For example, if a laptop in San Jose costs more than the same laptop in Morristown, a consumer in San Jose may just buy the cheap laptop online from Morristown and have it shipped. To compete with its rivals in Morristown, retailers in San Jose would have to cut prices. Consequently, goods prices are much more uniform nationwide: All metro areas fall within 15 percent of the national average.
The regional variation in goods prices that does exist likely results from goods that are more difficult to buy online, like fresh foods. For these items, businesses in areas with higher rent costs may charge higher prices to consumers to compensate, while businesses in areas with lower rent costs may charge lower prices. That said, some economists have found that most variation in food prices may be due to measurement error (source).
How these maps were created: From GeoFRED, click “Build New Map,” open the tool bar in the top left corner, and select “Choose Data.” For the first map, under “Region Type” choose “Metropolitan Statistical Area” and under “Data” search for “Regional Price Parities: All Items.” For the other maps, simply change “Data” to “Regional Price Parities: Services: Rents” or “Regional Price Parities: Goods.” Use the “Edit Legend” tool bar to edit as you see fit. The data are also available at the state level. To view the maps of state RPPs, change the “Region Type” to “State.”
Suggested by Charles Gascon and Andrew Spewak.