Google has tied BLS data to a nifty graph utility making it very easy to examine say unemployment rates across counties, states and so forth. Do a search for unemployment rate, click on the top graph and check it out. More is planned.
Hat tip to Flowing Data.















Pretty slick!
Correction: That’s a WSJ map tracking only swine flu. The Google map can be found at http://www.facebook.com/ext/share.php?sid=90316438768&h=9tXpN&u=xXYbz&ref=mf
Colin, I don’t disagree with your conclusion (increased economic freedom is good) but this sort of analysis is pretty weak. There are lots of other factors at play in unemployment rates that could affect such a small sample of states. Off the top of my head, California is more desirable (so people will tolerate longer unemployment spells to stay there) and easier to survive in if you’re unemployed (since you’re less likely to freeze to death).
You’d be better off using the county-level data within a state to identify some policy change and look at the difference in differences. San Francisco implemented a living wage a few years back and I believe that neighboring counties did not. I’m trying to look into that now.
Unemployment concentration is highly correlated with percentage of Hispanic residents — e.g., unemployed illegal immigrant construction workers lured in by “jobs Americans just won’t do” to build houses Americans just don’t need.
Why aren’t we paying unemployed illegal immigrants to go home? It’s cheaper and more humane for all concerned for them to be unemployed at home with their families in Latin America than in the U.S.
From Business Week, here’s the latest on places with Depression-level unemployment rates greater than 15%:
El Centro CA 25.1%
Merced CA 20.4% 6.7
Yuba City CA 19.5% 6.8
Elkhart-Goshen IN 18.8% 13
Visalia-Porterville CA 17.7% 6.1
Modesto CA 17.5% 6.3
Bend OR 17.0% 9.2
Fresno CA 17.0% 6
Redding CA 16.8% 6.6
Hanford-Corcoran CA 16.7% 5.4
Stockton CA 16.4% 6.2
Bakersfield CA 15.9% 5.2
Salinas CA 15.7% 5
Hickory-Lenoir-Morganton NC 15.4% 9.1
Flint MI 15.3% 4.6
Madera-Chowchilla CA 15.3% 5
Yuma AZ 15.3% 5.4
Ocean City NJ 15.0% 4.2
My published articles are archived at iSteve.com — Steve Sailer
Google acquired GapMinder (now Trendalyzer) software from Dr Hans Rosling. Google’s goal is to make public data as accessible, dynamic, and interesting as Hans Rosling’s 2007 TED presentation. If you have not seen this presentation you should go to TED.com and search for Hans Rosling or GapMinder.
I wonder if there is an underlying variable that affects both the dependence on trade and the social safety net. Perhaps some aspect of culture or geography might be responsible for both.
I have a strong feeling that the mark-to-market, it still wouldn’t have been the right thing to do.
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Yeah it’s pretty cool. I used it yesterday to plot unemployment rates of the states with the most economic freedom as ranked by the Mercatus Center:
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