Population data processing

Outline of the video

• Demographic data is useful to get an idea of your urban context and to use it for downscaling calculation as your city proxy number.
• For now, you should focus on city demographic data and don’t have to worry about your country and NUTS data yet.
• The demographic data processing template has 5 columns.
• For demographic data, so on population, people are basically seen as stock by the system.
• Example: City population in HTK
• Different from the stock data processing is that we don’t have the materials columns, but instead population.
• There is also no unit assigned, they are by default seen as an “item” unit (which does not have to be added).
• Also there the drilldown function can be used which comes from the segments column. There it is possible to specify according to male/female or different age groups, for example 0-5 years old, 6-10 years old etc.
• With the total population for a city, we can eventually do per capita calculations. This can be done on either an entire city level, or even broken down further to neighbourhoods etc.
• M3:30, back to the example from Høje-Taastrup. We can simply copy the total population values for each year and make a rather simple table from that.