Diese Karte zeigt, wie viele Fertigungsjobs jeder Staat von seinem eigenen historischen Höhepunkt (in Tausenden) verloren hat. Dunkler = größerer absoluter Niedergang, Etiketten zeigen den genauen Verlust.
Source: BLS data via Fred. Tools: Python and Plotly.
Zerdalias on
Why are there values on the map that exceed the range of the color/numerical scale on the left?
The_Saddest_Boner on
“Since 1990” is an important part of this data, but it’s still interesting.
g33klibrarian on
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)
KnightsOfREM on
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.
Praefectus27 on
Give it to us per capita too big boy.
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Source: BLS data via Fred. Tools: Python and Plotly.
Why are there values on the map that exceed the range of the color/numerical scale on the left?
“Since 1990” is an important part of this data, but it’s still interesting.
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)
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.
Give it to us per capita too big boy.