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Daily Archives: September 22, 2017

More 2016 Commuting Data

By | | Transportation, Useful Data
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People who earn more than $75,000 a year are more likely to ride transit than people in any other income bracket. Most of those high-income transit riders live not in big cities like New York or Chicago but in suburbs of those cities.

That information is from table B08119 from the 2016 American Community Survey. I’ve downloaded the table for the nation, states, counties, cities, and urbanized areas and posted it with calculations showing what percentage of people in each income bracket use each form of transportation. The calculations don’t show this, but you can calculate it for yourself, but about 18.5 percent of people earn more than $75,000 a year, but a full 24 percent of people riding transit earn more than that amount.

I was surprised to discover that New York City was not one of the places where people earning more than $75,000 were the most likely to take transit, so I added a column, EB, that flags those areas where the $75,000 bracket is the most likely to take transit. On a state level, this included Idaho, Illinois, Massachusetts, New Jersey, Virginia, and Wyoming. Continue reading →

Housing Affordability in 2015

By | | Housing, Useful Data
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Today the Antiplanner continues reviewing 2016 American Community Survey data by looking at housing affordability, a common measure of which is median house prices divided by median family incomes, or value-to-income ratio. Median family incomes are in ACS table B19113, while median home prices are in table B25077.

To save you time, I’ve downloaded these tables, pasted the value and income data into one table, and calculated the ratio for the nation, states, counties, cities, and urban areas. For comparison, I have the same data for 2015, 2010, and 2006. As noted yesterday, only some counties, cities, and urban areas are used each year and the list varies from year to year so the rows are not identical each year. The states don’t vary from year to year, so I’ve also provided a spreadsheet comparing value-to-income ratios for the nation and each state for all four years.

All of the numbers, by the way, are actually for the previous year, as the surveys asked people how much they earned and how much their homes were worth the year before the survey. So the number shown as the 2016 value-to-income ratio is actually the ratio in 2015, etc. That means the data are a couple of years behind the current state of housing affordability. Zillow shows that prices in some areas have dramatically increased in the last couple of years to the point where many Silicon Valley homes are selling for 50 percent above their asking prices. Continue reading →