Created 6 years ago, updated 5 years ago

The IoTUK Nation Database brings together a snapshot of the current state of the businesses and organisations that make up the Internet of Things sector in the UK. We've created the database using open data and the power of "the web of data" to collate and cross-reference information from a variety of sources including IotUK/Digital Catapult, Companies House, and crawling the web. There is also an interactive visualisation of this dataset.

From
To
31/07/2018

Organisations identified as part of the IoT sector based on the language they used to describe themselves. An organisation is an entity that has been identified as active in the IoT space. These entities have registered addresses in the UK and could be a registered business, a government organisation, or an academic institution. Columns are:

  1. Org ID (internal organisation ID for this database)
  2. Latitude (degrees)
  3. Longitude (degrees)
  4. Address 1
  5. Address 2
  6. Town
  7. Postcode
  8. Type (ltd/plc)
  9. Nomenclature of Territorial Units for Statistics region 3 (nuts315cd)
  10. NUTS region 3 label
  11. Local authority district (lad16cd)
  12. Local authority district label
  13. Westminster constituency (pcon17cd)
  14. Westminster constituency label
  15. Standard industrial classification of economic activities codes (semi-colon separated)
  16. Sector (string based on main SIC code)
  17. Founding year
  18. Size (Unknown; Micro; SME; Mid-size; Large)
  19. Turnover category (1 – Less than £1 million; 2 - £1 to £10m; 3 - £10m - £25m; 4 - £25 - £50m; 5 - £50m - £100m; 6 - £100m - £250m; 7 - £250 - £500m; 8 - £500m+; 9 – Not Known; 10 – Not relevant (for Universities))
  20. Organisation name
  21. Foreign organisation?


Changes since the May 2018 release:

  1. Added columns: NUTS3 label, local authority code, local authority label, Westminster constituency code, and Westminster constituency label
  2. Removed columns: Project count, Funding value, Accounts type, Organisation region, Organisation REF number, Domain
  3. File now sorted by Org ID.
From
To
31/07/2018

This is a cut-down version of the CSV release of the IoTUK Nation Database. Organisations identified as part of the IoT sector based on the language they used to describe themselves. An organisation is an entity that has been identified as active in the IoT space. These entities have registered addresses in the UK and could be a registered business, a government organisation, or an academic institution.


If you think an organisation is missing, or has wrong information, please let us know the details.

From
To
01/05/2018

This is a minor update to the April 2018 release with some additions and corrections.


Organisations identified as part of the IoT sector based on the language they used to describe themselves. An organisation is an entity that has been identified as active in the IoT space. These entities have registered addresses in the UK and could be a registered business, a government organisation, or an academic institution. Columns are:

  1. Org ID (internal organisation ID for this database)
  2. Latitude (degrees)
  3. Longitude (degrees)
  4. Address 1
  5. Address 2
  6. Town
  7. Postcode
  8. Type (ltd/plc)
  9. Nomenclature of Territorial Units for Statistics (NUTS) region 3
  10. Standard industrial classification of economic activities codes (semi-colon separated)
  11. Sector (string based on main SIC code)
  12. Project count (empty)
  13. Funding value (empty).
  14. Founding year
  15. Size (now listed as "Unknown", "Micro", "SME", "Mid size", and "Large")
  16. Accounts type (full/group/small/total-exemption-small/micro-entity/dormant)
  17. Turnover (1 – Less than £1 million; 2 - £1 to £10m; 3 - £10m - £25m; 4 - £25 - £50m; 5 - £50m - £100m; 6 - £100m - £250m; 7 - £250 - £500m; 8 - £500m+; 9 – Not Known; 10 – Not relevant (for Universities))
  18. Organisation name
  19. Organisation region
  20. Organisation REF number
  21. Foreign organisation?
  22. Domain (empty)


From
To
11/04/2018

Organisations identified as part of the IoT sector based on the language they used to describe themselves. An organisation is an entity that has been identified as active in the IoT space. These entities have registered addresses in the UK and could be a registered business, a government organisation, or an academic institution. Columns are:

  1. Org ID (internal organisation ID for this database)
  2. Latitude (degrees)
  3. Longitude (degrees)
  4. Address 1
  5. Address 2
  6. Town
  7. Postcode
  8. Type (ltd/plc)
  9. Nomenclature of Territorial Units for Statistics (NUTS) region 3
  10. Standard industrial classification of economic activities codes (semi-colon separated)
  11. Sector (string based on main SIC code)
  12. Project count (empty)
  13. Funding value (empty).
  14. Founding year
  15. Size (now listed as "Unknown", "Micro", "SME", "Mid size", and "Large")
  16. Accounts type (full/group/small/total-exemption-small/micro-entity/dormant)
  17. Turnover (1 – Less than £1 million; 2 - £1 to £10m; 3 - £10m - £25m; 4 - £25 - £50m; 5 - £50m - £100m; 6 - £100m - £250m; 7 - £250 - £500m; 8 - £500m+; 9 – Not Known; 10 – Not relevant (for Universities))
  18. Organisation name
  19. Organisation region
  20. Organisation REF number
  21. Foreign organisation?
  22. Domain (empty)
From
To
16/03/2017

Organisations identified as part of the IoT sector based on the language they used to describe themselves. An organisation is an entity that has been identified as active in the IoT space. These entities have registered addresses in the UK and could be a registered business, a government organisation, or an academic institution. Columns are:

  1. Org ID (internal organisation ID for this database)
  2. Latitude (degrees)
  3. Longitude (degrees)
  4. Address 1
  5. Address 2
  6. Town
  7. Postcode
  8. Type (ltd/plc)
  9. Nomenclature of Territorial Units for Statistics (NUTS) region 3
  10. Standard industrial classification of economic activities codes (semi-colon separated)
  11. Sector (string based on main SIC code)
  12. Project count (number of IoT projects identified)
  13. Funding value (GBP) - For some organisations we have identified the IoT-specific projects they are involved with. Where the data are available, we have included the amount of Investment provided to the organisation for those projects.
  14. Founding year
  15. Size (number of staff; estimated for smaller companies)
  16. Accounts type (full/group/small/total-exemption-small/micro-entity/dormant)
  17. Turnover (GBP) - For registered businesses, this is, where available, the total turnover of that business provided to Companies House (this will include non-IoT activity)
  18. Organisation name
  19. Organisation region
  20. Organisation REF number
  21. Foreign organisation?
  22. Domain
Note that the first column has been renamed from "ID" to "Org ID" to stop Microsoft Excel being confused about the file type.