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[this is a icon-] A spreadsheet from a data cube dataset

Annual Population Survey - Employment count, England, by District, LEP: a data cube spreadsheet

This dataset is for testing only. It is a subset of employment rate data retrieved from Nomis, a service provided by ONS. https://www.nomisweb.co.uk

Count of those in employment for values of DCLG - Employment count age grouping
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Filter Areas by type:
Reference area 16-64
Country Group
United Kingdom 28,209,900
Countries
England 23,728,600
Upper Tier Authorities
Bath and North East Somerset 80,900
Bedford 74,800
Blackburn with Darwen 58,900
Blackpool 58,700
Bournemouth 78,800
Bracknell Forest 58,800
Brighton and Hove 130,200
Bristol, City of 204,900
Dimensions
Dimension
Value
Dclg Employment Count Age Grouping
  1. 16-64
Reference Period
  1. Year ending 2004-12-31
  2. Year ending 2005-03-31
  3. Year ending 2005-06-30
  4. Year ending 2005-09-30
  5. Year ending 2005-12-31
  6. Year ending 2006-03-31
  7. Year ending 2006-06-30
  8. Year ending 2006-09-30
  9. Year ending 2006-12-31
  10. Year ending 2007-03-31
  11. Year ending 2007-06-30
  12. Year ending 2007-09-30
  13. Year ending 2007-12-31
  14. Year ending 2008-03-31
  15. Year ending 2008-06-30
  16. Year ending 2008-09-30
  17. Year ending 2008-12-31
  18. Year ending 2009-03-31
  19. Year ending 2009-06-30
  20. Year ending 2009-09-30
  21. Year ending 2009-12-31
  22. Year ending 2010-03-31
  23. Year ending 2010-06-30
  24. Year ending 2010-09-30
  25. Year ending 2010-12-31
  26. Year ending 2011-03-31
  27. Year ending 2011-06-30
  28. Year ending 2011-09-30
  29. Year ending 2011-12-31
  30. Year ending 2012-03-31
  31. Year ending 2012-06-30
  32. Year ending 2012-09-30
  33. Year ending 2012-12-31
  34. Year ending 2013-03-31
  35. Year ending 2013-06-30
  36. Year ending 2013-09-30
  37. Year ending 2013-12-31
  38. Year ending 2014-03-31
  39. Year ending 2014-06-30
  40. Year ending 2014-09-30
  41. Year ending 2014-12-31
  42. Year ending 2015-03-31
  43. Year ending 2015-06-30
  44. Year ending 2015-09-30
  45. Year ending 2015-12-31
  46. Year ending 2016-03-31
  47. Year ending 2016-06-30
  48. Year ending 2016-09-30
  49. Year ending 2016-12-31
  50. Year ending 2017-03-31
  51. Year ending 2017-06-30
  52. Year ending 2017-09-30
  53. Year ending 2017-12-31
  54. Year ending 2018-03-31
Reference area
(showing types of area available in these data)
  1. Country Group
  2. Countries
  3. Upper Tier Authorities
  4. Lower Tier Authorities
  5. Unitary Authorities
  6. Non-metropolitan Districts
  7. Metropolitan Districts
  8. London Boroughs
  9. Local Enterprise Partnerships
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Entire dataset
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About the Dataset
Contact
Publisher
Not supplied
Creator
Not supplied
In dataset
License
http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
Issued
01/09/2016
Modified
19/07/2018
Next update due
12th-20th October 2018
Description

This dataset is for testing only. It is a subset of employment rate data retrieved from Nomis, a service provided by ONS. https://www.nomisweb.co.uk

URI

This slice of multidimensional data is not a Linked Data resource in the database: it's a virtual resource (i.e. you can't query it by SPARQL). But does have a permanent unique URL which can be bookmarked.

http://opendatacommunities.org/slice?dataset=http%3A%2F%2Fopendatacommunities.org%2Fdata%2Flabour-force%2Femployment%2Fcount%2Fby-age&http%3A%2F%2Fopendatacommunities.org%2Fdef%2Fontology%2Ftime%2FrefPeriod=http%3A%2F%2Freference.data.gov.uk%2Fid%2Fgregorian-interval%2F2005-10-01T00%3A00%3A00%2FP12M
Dimensions Linked Data

A linked data-orientated view of dimensions and values

Dimension Locked Value
Reference Period
http://opendatacommunities.org/def/ontology/time/refPeriod
 Year ending 2006-09-30
http://reference.data.gov.uk/id/gregorian-interval/2005-10-01T00:00:00/P12M
Dclg Employment Count Age Grouping
http://opendatacommunities.org/def/ontology/labour-force/employment/count/byAge
 (not locked to a value)
Reference Area
http://opendatacommunities.org/def/ontology/geography/refArea
 (not locked to a value)