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  1. Why are there values on the map that exceed the range of the color/numerical scale on the left?

  2. William Carrier invents the air conditioner while working in Buffalo NY. Half the city leaves town.

    (Okay so losing 300k population took decades, but it is ironic)

  3. The absolute numbers are useful, but losses relative to population would look totally different, and explain a lot of the politics of the past 30 years. Maine for instance didn’t lose many manufacturing jobs when the mills shut down compared with New York, but its losses per capita tell a very different story.

  4. ah yeah, this map is only showing absolute job losses, so states like California, New York, Pennsylvania, Ohio, Michigan stand out just because they had big manufacturing bases to begin with. that hides the story for smaller states where the percentage loss was much worse, even if the raw number looks smaller.

    like losing 50k in North Carolina might look lighter here, but if that’s half their manufacturing jobs it’s a way bigger local impact than California losing 771k out of millions of total jobs.

  5. Must not include lumber mills because ID is 0. If lumber mills were included in the definition of manufacturing for this map, OR and WA are going to look way redder.

  6. These are interesting, you really see the hollow out of the rust belt and it’s far west area. One thing lost in the tariff debates and ritually ignored by Corrupty the Clown and Bessent is that the US has a services foreign trade surplus. That would be interesting to look at. Trump seems to be ignorantly sabotaging our lead there in particular.

  7. The fact that NC is red in this map is no shock. NAFTA gutted the textile industry here. We had towns’ livelihoods destroyed almost overnight. Erwin, Coats, and Dunn (great name for a country band!) had all the mills close, and the people lost their jobs. It was so
    bad that when a super walmart came around 2000 the mayors of all 3 towns, the town councils, and several school bands came to the grand opening. It was then first job growth they had in a while.

  8. Spiritual-Mechanic-4 on

    This is the kind of chart that seems informative, but actually makes you a tiny bit dumber when you look at it.

  9. This is a worthless chart. In those states with huge losses, there were transitions to new industries and GDP increased. Also, the Cold War ended, which drove a lot of manufacturing losses, dumb chart.

  10. This is totally useless as a raw number, instead of per capita. And this is such an obvious problem with it that I cannot accept that the OP didn’t fully realize that and isn’t intentionally trying to manipulate perceptions, because it’s just SO absurd to do it this way.