Replacement was another idea we talked about in the population analysis class this week. Essentially it is an estimate of the deaths and migratory outflows from the area over a specified period of time and is called replacement because it is what you would need to replace in order for population to remain the same. Not really terribly complicated, but it is a nice complement to the idea of turnover and I generated both the level and the rate for counties in North Dakota.

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I am teaching population analysis to the undergraduates this year which is a first for me and them. We talked about the simple calculation of growth rates and how population change is actually more complicated and subtle than an overall population growth rate. This got us to the idea of turnover, that is just measuring the births, deaths, inflows, and outflows that go into the changing population. Basically just seeing how much is changing compared to the overall population level. So I thought I would have some fun and apply this to North Dakota. This could be especially important given that some North Dakota counties experienced high degrees of population change due to economic circumstances.

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The topic of annual pay clearly was important to many callers last week and so I thought I would follow up with a bit of a different look at the issue. I wanted to take a look state wide at the hot spots for compensation. This is BLS QCEW data for all industries for all firm sizes. I ran it for the last ten years but we are going to look at three years, 2007, 2012, 2017. 

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So I exchanged text messages with a friend about local economic data last week, and they asked about the rate of inflation and wage gains and what was happening with that nationally and locally. Enough sources deal with the national picture that I decided to focus on the local picture for this post. I used the CPI (all urban consumers, national average), since that is what my friend discussed, to calculate the real value of annual pay for Grand Forks county. 

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