Mass Shooting Research Part 3; State Comparisons, GVA Data
I mentioned in a previous article on this topic that I also wanted to explore the state-by-state numbers, but needed to finish processing data from Census.gov. Well, that is now done, so I’m going to explore what I found. I think this will be my last post on mass shooting data analysis, unless something new surfaces.
Previous articles:
Part 1, Mother Jones Data: https://jonamdall.com/2017/08/07/mass-shooting-research/
Part 2, gunviolencearchives.org Data and Rampages: https://jonamdall.com/2017/08/09/mass-shooting-research-part-2-rampage-events/
For background, let’s sum up some of what we’ve talked about previously. First, we should establish the definition of a mass shooting event; that is, “four or more shot and/or killed in a single event [incident], at the same general time and location, not including the shooter.” In the my two previous articles, we explored publicly available data from Mother Jones and gunviolencearchive.org (GVA). Each of these sources has its strengths and weaknesses. Mother Jones’ data contains significantly less events (seemingly only those with strong media coverage), but provides more details by way of mental illness, demographics, venue, and more. GVA’s data documents hundreds more events from 2014-2017, but only indicates a location and number of victims. Mother Jones also provides events going back to 1982, whereas GVA’s publicly available data only goes to 2014.
In this article, since GVA provides seemingly more complete numbers from 2014-2017, I’m going to explore the state distribution of events based on GVA’s list. To conduct this analysis, as usual, I’m going to lean on functions and Pivots from Excel. I took GVA’s basic list, added 2016 U.S. Census population estimates for each state, and generated per capita mass shooting event numbers for total victims (injured and killed) and number of victims killed. I also created an “adjusted per capita” which was designed to present an easier to evaluate number; this was calculated by multiplying per capita for each state by one million. I also added U.S. Census Regions and Divisions to organize states into logical groups.
First, I’ll show some graphics for total/raw numbers. These are not adjusted for population; they simply show numbers per state.
As I’ve mentioned, because of vast population differences in states, raw numbers do not always tell the full story about how significant a threat is. To get a better idea of impact to a state, it’s helpful to weight by population. The next charts show mass shooting per capita and adjusted per capita numbers.
I realized the “per state raw victim” totals from GVA data were not correct. In my Excel sheet, I had that Pivot Table set to “count” instead of “sum.” I removed that chart from this post. If you want the updated numbers for that, see the most recent post here: https://jonamdall.com/2018/02/21/mass-shooting-data-update-ideas-to-reverse-the-trend/
The adjusted/per capita numbers were fine, so I’ve left them as is.
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