Regional ratio of young women to men in EU

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I was curious how gender-ratios of young women and men are distribute geographically in Europe. Eurostat offers absolute numbers for all NUTS2 regions in Europe. The most recent available figures were referring to January 2012 – in few cases like Turkey I was falling back to January 2011 due to missing values.

The figures are drawn from table “demo_r_d2jan” on Eurostat.

Regional ratio of women to men in EU down to NUTS 2 (Jan 2012).

So what you see here is the ratio of women to men (aged 16 to 30 years) in 2012 for the respective NUTS 2 region. The coloring ranges from the 5% quartile (red) and ends at the 95% quartile (green) – the white color is chosen for the medium.

Poorer regions like the former GDR (except for Leipzig and Berlin) or parts of Spain, as well as poorly urbanized regions (see Scandinavia) seem to experience the strongest sexual imbalance.

It is very interesting to see that there are pretty strong areas in Turkey. Still – I would not necessarily recommend moving there! My just knocked out armchair theory would be that in those poorer areas women are left behind by their men who move to richer parts of Turkey or EU to earn money for the family.

Actually the map is crafted with d3.js. And more good stuff is planned on:

UPDATE 2013-04-04:

I posted the map on Reddit. Already received very interesting questions and comments!

4 thoughts on “Regional ratio of young women to men in EU”

  1. Hi Raffael,

    Thanks for your excellent blog! I was also trying to make web maps based on Eurostat data and NUTS geometries. I have shared reusable geometries for NUTS regions in JSON formats here: https://github.com/jgaffuri/Nuts2json

    Feel free to reuse and provide feedback if you see something improvable !

    Tschuss,

    julien

  2. Hi,

    The visualizations with the maps are great. Can you provide me a link to the R code for this. I would like to apply it other areas I am interested in.

    Thanks

    Ganesh

    • Hi Ganesh,

      the visualization is based on D3.js – no R involved. Shapefiles for the map converted with QuantumGIS into GeoJSON and that data you can then load with D3.js (plenty of examples out there for that part). The areas already have the proper ID so changing their color based on the data set (containing the values for the region) is no problem. In the end I did simply a screen shot.
      Don’t know where I have the code for that – was pre-GitHub-times.

      Cheers

      Raffael

  3. Pingback: Somewhere else, part 108 | Freakonometrics

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