The January sales tax collections data came out recently and I want to take a longer view of the data here. This typically means messier graphs because the time scale gets compressed. I will put up a post with a shorter timeline tomorrow. Why the longer timeline? I think it is necessary if we are going to try and interpret or understand the numbers we are currently seeing.
The recent situation with Carillion should force many to consider the larger issue of corporate, or public, pension solvency. The underfunding of pensions is serious in many cases, and the “guarantee” of funds availability in retirement is not 100%. Whether we want to talk about social security, the North Dakota state teachers’ pension fund, the situation below with Carillion or a different company several of the issues remain the same.
It is a constant refrain on my part. Population is the key. This is true if I am in class teaching undergraduate or graduate students, on the radio talking with JT or the public, or in casual conversation with family or friends. Population is a key to growth, and I think most people get it. The problem is arriving at a policy that encourages sustainable population growth. North Dakota has more jobs than unemployed, and has had the problem for a long time, indicating an issue with attracting in-migration in needed numbers. Neither have we seen a demographic change in births or mortality sufficient to overcome these problems.
I am not too excited by this graph to be honest. I took a look at some education and enrollment statistics from the Census. The base for the percentage is children over three enrolled in school. The analysis also includes college and graduate school enrollment. This explains why the Grand Forks and Cass counties show such a low number. Their university enrollments work against them in this regard.
There are many ways to calculate and present the average income for a population. I am trying out a new measure (for me) tonight with this post. I am doing some exploratory analysis with various different data sets and I thought I would look at some IRS data right now.