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1:250 000 Scale Colour Raster

1:250 000 Scale Colour Raster is a small-scale digital raster map data product that provides a regional view of the landscape which is similar in content and appearance to a typical road-atlas.


  • Small scale - national

Data use

  • Backdrop maps

Data format

  • Raster

The colour of the landscape features can be customised to highlight particular classes/groups of features according to your requirements.

At this scale the landscape features can be seen clearly - these include:

  • Cities, towns, villages, centres of population
  • Motorways, A and B roads
  • Railways
  • Rivers
  • Some woodland features

This product is supplied with a gazetteer of geographical names shown on the map data and with a digital legend that explains the cartographic symbols and styles that are included in the product.

Suggested uses

  • Transport planning and management
  • Display regional demographic data
  • Emergency planning and management

Need more information

If you want more details, there are a few options for you. You can contact us directly and talk to one of our Sales Advisers, or you can visit our comprehensive product support area that has lots of useful information and details about our products.

Contact us today

For technical support, visit our 1:250 000 Scale Colour Raster support page or our Open Data support page.

How to use our data

We provide the most accurate and up-to-date geographic data in Great Britain.

Our data will need to be integrated in a Geographic Information System (GIS) to allow you to view, edit, overlay and manage different data formats and sources.

Our products, depending on their formats, will require different software. Some also require translation tools so please check with the system providers for the products you are interested in.

Have a look at our partner pages to learn more about solutions and services offered by our licensed partners.

Try it now

If you would like to start using this product straight away, please make use of the following options to get the most from OS OpenData:

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