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unemployment statistics in the UK

Visualizing recent trends in benefit claimant counts in the UK.

Unemployment data from the Guardian Data Blog.

Constituency coordinates courtesy of the TheyWorkForYou API.

The three heatmaps show, respectively, from left to right:-

(1) the %age change in those claiming benefits (hotspot in the Thames Valley)

(2) the %age of the workforce out of work and claiming benefits (hotspots in the Midlands, Hull, London, Liverpool, Glasgow)

(3) the gender ratio of claimant percentages. Red=higher ratio of male to female claimants, blue=lower ratio of male to female claimants

  1. January 31, 2010 at 1:16 am

    A friend sent me one of your flickr heatmaps. I took a look at some of your code, and it is pretty interesting. Have you given any geo toolkits a try?

    I am currently using geo-django; mainly to interface with some webapps, but also for offline python geo models and localhost google map displays.

    Here’s a link to some documentation: http://code.djangoproject.com/wiki/GeoDjango
    And, of course, here is the code: http://code.djangoproject.com/browser/django/trunk/django/contrib/gis ; check the geos/mapping/utils directories.

    • February 1, 2010 at 8:28 pm

      thanks Tom! I’ve not tried geo-django yet; I can see it being useful for some more adventurous applications I have in mind. I must give it a try!

      I’ve found the hardest part of doing these visualisations has been sourcing and parsing geographic data (such as the lat/long coordinates for Constituencies, Towns etc.).

      It’s getting easier to find interesting data though, what with uk’s version of data.gov and the guardian data blog.

      And I’ll have to have a look at Yahoo Placemaker too…

      So many cool toolsets, so little time! 🙂

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