How to Transform Communities
Original post can be found at: https://jheconomics.com/how-to-transform-communities/.
West Michigan’s Commuting Patterns
Commuting patterns serve as an effective method to identify labor sheds, both at the regional and sub-regional levels, and the availability of information regarding where talent resides compared to where talent works can significantly impact the success of employers’ recruitment efforts.
Understanding Transportation Preferences in Low-Income Communities
Teacher Retention and the Future of the Education Workforce
Between the years of 2008 and 2016, enrollment in teacher preparation programs within the state of Michigan decreased by 66 percent. National enrollment trends reflect a similarly grim decline, with states throughout the U.S preparing fewer college students to become teachers than the rate observed before the trough of the Great Recession. Understanding the […]
Median Age, How Youthful is West Michigan?
Median age, a metric provided with each year’s population estimates on a national, state, and county-wide level, can serve as an effective proxy to aid our understanding of an area’s age profile. Here, we’ll take a look at why it’s so useful, national and statewide trends, as well as what the median age looks like […]
Let’s put data, information and analysis to work for West Michigan
Note: This is the fourth in a series of posts analyzing the nine key strategies cited in our 20/20 Vision Report.
Leading by example: Educators and employers prove engagement works
Note: This is the third in a series of posts analyzing the nine key strategies cited in our 20/20 Vision Report.
It’s time to dismantle the barriers to our success
Note: This is the second in a series of posts analyzing the nine key strategies cited in our 20/20 Vision Report.
Going from good to great begins with postsecondary education
Note: This is the first in a series of posts analyzing the nine key strategies cited in our 20/20 Vision Report.
A challenge to West Michigan: Take talent efforts from good to great
