Here's some data from the Pew Research Center looking at the percentage of young people (18- to 29-year olds) in the US that live with at least one parent. It it based on an analysis of monthly Census Bureau data and is obviously interesting/relevant given that this pandemic seems to have precipitated a number of people moving back home. As of July of this year, 52% of young adults were thought to be living with at least one parent, which is up from 47% back in February.

At first I was surprised to see these numbers as high as they are. But it's really the 18-24 age bracket that is driving this number up, which makes sense given that a chunk of this demographic is probably in school, not working, and now unable to do much on a campus. Among 25- to 29-year olds, the range is significantly lower, with just over a quarter (26% -> 28%) living with their parent(s).

What I'm curious about now, after seeing this chart, is what is driving some of these regional, ethnic, and gender differences? Why are young midwesterners seemingly less likely to live with a parent compared to those in the northeast? Is it cultural? Economic? Or something else? And is the above an indication that maybe women are more independent than men?

A recent study and research paper by the MIT Senseable City Lab -- called, Tasty Data -- has discovered that restaurant data alone can be used to accurately predict location-based factors such as daytime population, nighttime population, number of businesses, and overall consumer spending within a specific geography.

They started by pulling restaurant data from Dianping (Chinese equivalent of Yelp) for 9 Chinese cities: Baoding, Beijing, Chengdu, Hengyang, Kunming, Shenyang, Shenzen, Yueyang, and Zhengzhou. They then paired their Dianping data with other available data (such as aggregated mobile phone data) and used machine learning to search for any correlations.

Below is a diagram of "nighttime population" in Beijing. They are using a 3 km2 grid.

If you're a regular reader of this blog, you'll know that I like these kinds of studies. By 2020, it is estimated that 1.7MB of data will be created every second by every person on earth. The numbers are staggering. And yet, "official" data sources, such as census data, remain slow and fairly limited. Studies like this one continue to show us what's next.

Image: MIT Senseable City Lab

The percentage of single-person households in the US has been steadily increasing since the 1960's (though the rate of increase has moderated in recent decades). As of last year (2018), 28% of Americans lived alone, according to the US Census Bureau. So about 1 in 4 households. This is in comparison to 13.1% of households in 1960.

Here is a chart from a recent WSJ article on the topic:

Not surprisingly, this is changing how marketers target households. Affluent, single-person households in urban areas have proven to be a boon to product makers because they tend to spend more per person and they tend to value time > money. Of course, this phenomenon also has implications for those of us who work as city builders.

For more historical household tables from the US Census Bureau, click here.