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The difference between what the colours on the Map and the colours on the Dashboard show

It is important to note there are two differences between the colour scale on the dashboard compared with the colour scale on the maps.

  • The areas being compared
  • The methodology for grouping areas

The areas being compared

The colour scale on the maps is comparing all areas across the whole country, whereas the colour scale on the dashboard is only comparing the custom areas that you have created.

Therefore if an area was shaded red for unemployment benefit on the dashboard, this means that there is a high percentage of unemployment benefit in this custom area compared to your other custom areas, but this is not comparing at a national level. Therefore, on a national scale this area could actually have a relatively low percentage of unemployment benefit. So if you view this particular area on the map, you may find that the colour scale is different.

The methodology for the colour groupings

The second difference between the colour scale on the map and on the dashboard is the methodology behind the colour groupings.

On the Map: The 5 colour types represent 5 equal sized groups. The colours on the map are based on grouping all areas across England into five 20% bands. So the top 20% of areas on an indicator are shaded dark red, the next 20% shaded light red, and so on.

On the Dashboard: The 3 colour types are generated using equal interval classification, defined by the outer range of your areas' data for that indicator. This value- driven method means that we take the highest and lowest value across your custom areas for the indicator in question and then create 3 equal value bands and distribute the areas across these value bands.

For example, if you had 5 custom areas on the dashboard and the percentage of unemployment in those areas was; 3%, 4%, 7%, 9% and 9%. Then the colour bands would be split into 3 equal groupings based on the values. The areas would therefore be coloured depending on which range they fell in from the below figures:

3% to 5% - Low

5% to 7% - Medium

7% to 9% - High

This value-driven method on the dashboard was designed to be used to quickly compare your areas, allowing you to visually determine the spread of data and relative values.

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