Skip to main content

Announcing the new and improved OpenDataCommunities

Posted by: , Posted on: - Categories: Government

[This blog also appeared in the Open data Blog -]

This week, the Department for Communities and Local Government has launched new data content, and important new features in its OpenDataCommunities service.

The improvements are focused on three main areas:

  1. Helping us to quickly grow and extend the Department’s fully open, and accessible data outputs.
  2. Making it easier for you to discover, explore and understand our open data.
  3. Helping you to quickly access, interrogate and re-use our data

Growing and extending data content

We have been working closely with several key users to understand and prioritise which datasets to release via OpenDataCommunities.   This has produced a list of over 100 statistical outputs on Local Government Finance,  Fire and Rescue, Housing, and Planning.

We have now published the first subset of these data in OpenDataCommunities.  This new content comprises:

We have also updated various Geographic datasets, bringing them in to line with latest outputs from Ordnance Survey.   These include data on almost 1.7 million postcodes, and extensive information about individual Local Authorities and associated geographies, such as wards, and neighbourhoods (as defined by Lower Super Output Areas).

This is just the beginning.   We are now pushing to progressively release and maintain more data, focusing first on outputs requested by users.    To enable that, OpenDataCommunities now includes significant new tools for DCLG to manage data publishing directly from its internal systems.


We have the technology and a robust mechanism to automatically generate 5-star statistical data internally, and quickly make it available within OpenDataCommunities.   I am therefore confident that we can quickly bring new statistical data on stream, and also keep it in sync with future updates: e.g. so that content in OpenDataCommunities is released alongside future editions of our statistical releases.

Improving data discovery

We want to see you using our data in a wide range of new, innovative ways.   We think this begins with offering better and smarter ways for you to find, and understand what we hold, and then quickly access the underlying sources.

As a key first step, we have published new themes that reflect the Department’s full range of statistical outputs. This includes background information on the range, type and number of datasets currently available via OpenDataCommunities.

You can access our theme list here.

We are also working to align OpenDataCommunities’ themes and content with the equivalent information published via other channels: in particular, and DCLG’s main website.  More news to follow as we firm up our plans over the coming weeks.

In the mean time, we’re keen to hear and learn more about the DCLG datasets you need and use.   We would particularly welcome requests to publish datasets via OpenDataCommunities, and encourage you to get in touch by:

  1. Raising a data request via the Open Data User Group;
  2. Joining our on-line discussion forum; or
  3. e-mailing us directly at

Accessing and interrogating our data

OpenDataCommunities now includes an innovative new Data Table explorer.

This exciting new feature is available for any statistical dataset published in OpenDataCommunities.   As illustrated in the above screenshot, you can use this grid to:

  • Switch the values displayed in rows and columns; and
  • Download the resulting table in a CSV file, for re-use in your preferred software tools.

I hope that this new tool is a significant step forward in lowering the barrier to accessing and re-using our 5-star datasets.

For the more technical user audience, we are now offering API keys  (see screenshot below).    We believe this is an important mechanism for strengthening engagement with software developers and innovators, and look forward to seeing lots of new requests for an API key.


 We are keen to hear your views and feedback and encourage you to join our  on-line discussion forum or get in touch at

Thank you.

Sharing and comments

Share this page

1 comment

  1. Comment by exstat posted on

    I note the reference to making available 5 star statistical data. 

    Could you please clarify whether you mean "5 star" in the Open Data sense, or "5 star" in the sense of statistical quality?  The two are quite different and unrelated.  The most awful set of data could be made available in such a way as to meet all the demands of Open Data, but the words "lipstick" and "pig" would then spring to mind!

    I also have questions about the administrative geographies.  I am aware of correspondence between DCLG and the UK Statistics Authority about data for regions.  Are these still going to be covered in what you make available?  I accept entirely that regions are not the be-all and end-all and hide a lot of variation, but in some contexts - notably long runs of data and statistical surveys limited by sample size - they are the only game in town.  There is also the question of linking to other department's sources which continue to be available at regional level.

    Secondly, a quick peep at the relevant theme didn't reveal anything about Local Economic Partnerships, which I thjought were the coming thing for DCLG.  Have I missed something here and what are your plans?