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Analyzing regional income differences

On my quest to create test data for spatial statistics, I’ve discovered income data for Austria per municipality on a news paper website:

Screenshot 2014-11-29 23.06.46

For further analysis, I decided to limit the area to Vienna and Lower Austria. Since the income data included GKZ “Gemeindekennzahl” IDs, it was possible to join them to municipalities extracted from OpenStreetMap using QuickOSM for QGIS. GRASS v.clean was used to clean the vector topology to the point where PySAL was able to compute spatial weights.

Using PySAL, I then computed income clusters: blue regions represent low clusters while red regions represent high clusters …

Municipality border data (c) OpenStreetMap and contributors Income data source: Statistik Austria via derStandard

Municipality border data (c) OpenStreetMap and contributors
Income data source: Statistik Austria via derStandard

The results show a statistically significant cluster of low income in the north west, in the area called Waldviertel, as well as a cluster of high income containing many of the municipalities surrounding Vienna, an area often referred to as the “Speckgürtel” (“bacon belt”).

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8 comments
  1. Kurt said:

    Hi Anita,

    could not find any downloadable datatable on the website of the standard. where /who did you pull down the data?

    thx
    Kurt

  2. Kurt said:

    Ok, found it myself now
    you obviously grabbed it from the html-source-code

    Kurt

    • Hi Kurt! Yes that’s right. Do you happen to have a dataset of all Austrian municipalities with GKZ?

  3. Kurt said:

    Hi Anita! Unfortunately I dont have municipalties. There is an old page here: http://gw.eduhi.at/programm/dierkgis/diercke.htm for schoolteachers with a download-link (http://gw.eduhi.at/daten/vz91/oedaten.exe) . This exe-file was compiled by the University of Salzburg and seems to be a 32bit-selfextractor. I could open it on my 64-bit windows with winrar: It contains 1991 muncipalities for Austria in an old esri-format, which I could not open with qgis, so it is pretty useless…

    • Thanks the layer looks good but it seems like the GKZ (for some regions in Styria) do not quite match those in the Standard data.

  4. Mirrormap?!? BRILLIANT!!!

    • Mirrormap indeed :D

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