I read an interesting data analysis by Jonathan Regenstein last week. It was an analysis of unemployment insurance claims in Georgia. The data visualization vividly shows how bad the labor market is during the COVID-19 Pandemic. https://rviews.rstudio.com/2020/04/16/state-unemployment-claims/ After reading Georgia’s case, I got curious about my own state, New Hampshire.

I created the plot below by borrowing the code from Jonathan Regenstein’s post. The plot displays the highest weekly employment insurance claims every year since 1999. The data was retrieved from the Saint Louise Federal Reserve Bank database (FRED).

We just saw that New Hampshire was hit hard by the COVID-19 Pandemic. How about other states? How does New Hampshire compare against other states? The plot below shows the number of unemployment insurance claims in New Enlgand in 2020. All six New England states have huge spikes in claims starting on March 21, which I believe coincides with the beginning of the lockdown order.

However, we should account for each state’s population to make a fair comparision among states. One solution is to compare percent changes over time, instead of number of claims. The interactive map below displays percent changes during the lockdown from the same time in the prior year. More specifically, it aggregates weekly unemployment claims for the period of second half of March 2020 and first half of April 2020, aggregates claims for the same period in 2019, and calculates the percent changes between the two periods.

We can also control for the size of states by dividing the number of claims by state population. The interactive map below displays the number of claims per 1,000 working-age adults since March 21, 2020 when the lockdown started having effect on the labor market. I grabbed the population data from the United States Census, 2014-2018 American Community Survey.