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  1. UNCTADstat dataset: US.Gender_DomesticValueAdded (Domestic value added content in gross exports by sex and broad sector)
  2. Report version: 1315; lastUpdated: 2024-09-19T11:20:37
  3. Observation code 5067: Percentage of Domestic Value Added
  4. Filter dimensions used for requested series:
  5.   Sex code 1 = Female (from Sexes endpoint)
  6.   Component code 01 = Domestic value added in gross exports (from Components endpoint)
  7.   Industry code I20 = Total (from Industries endpoint)
  8.   Economies used: 250=France, 372=Ireland, 620=Portugal, 724=Spain, 826=United Kingdom
  9.   Years used: 2008-2017 inclusive
  10. Facts query (POST to /datamart-api/US.Gender_DomesticValueAdded/1315/Facts):
  11.   {"$select": "Economy/Code,Economy/Label,Year,M5067", "$filter": "Sex/Code eq '1' and Components/Code eq '01' and Industry/Code eq 'I20' and Economy/Code in ('250','372','620','724','826') and Year in (2008,2009,2010,2011,2012,2013,2014,2015,2016,2017)", "$orderby": "Economy/Code,Year", "culture": "en"}
  12.  
  13. Returned values (M5067 = Percentage of Domestic Value Added):
  14. EconomyCode,Economy,Year,Value_exact,Value_rounded_2dp
  15. 250,France,2008,36.75506075845353,36.76
  16. 250,France,2009,36.99399856027594,36.99
  17. 250,France,2010,37.04835647689392,37.05
  18. 250,France,2011,37.48530677366998,37.49
  19. 250,France,2012,37.68878529367636,37.69
  20. 250,France,2013,37.44346824136823,37.44
  21. 250,France,2014,37.21584818777631,37.22
  22. 250,France,2015,37.16398007110407,37.16
  23. 250,France,2016,37.17787732289415,37.18
  24. 250,France,2017,37.37248801642625,37.37
  25. 372,Ireland,2008,39.53093429796782,39.53
  26. 372,Ireland,2009,40.53425986023252,40.53
  27. 372,Ireland,2010,38.97647278175260,38.98
  28. 372,Ireland,2011,40.16531344370263,40.17
  29. 372,Ireland,2012,38.92693930477047,38.93
  30. 372,Ireland,2013,38.04883009379220,38.05
  31. 372,Ireland,2014,38.03856439990078,38.04
  32. 372,Ireland,2015,35.54699508160734,35.55
  33. 372,Ireland,2016,36.65175054351860,36.65
  34. 372,Ireland,2017,36.70952291146273,36.71
  35. 620,Portugal,2008,39.08979057764749,39.09
  36. 620,Portugal,2009,41.45683482630595,41.46
  37. 620,Portugal,2010,40.21069007686566,40.21
  38. 620,Portugal,2011,37.96986393691878,37.97
  39. 620,Portugal,2012,37.01333329641640,37.01
  40. 620,Portugal,2013,39.03279081279702,39.03
  41. 620,Portugal,2014,38.00858280206704,38.01
  42. 620,Portugal,2015,39.34877606667424,39.35
  43. 620,Portugal,2016,41.48133929303385,41.48
  44. 620,Portugal,2017,42.04617700894408,42.05
  45. 724,Spain,2008,35.27411824279048,35.27
  46. 724,Spain,2009,36.64624272892874,36.65
  47. 724,Spain,2010,35.16330418047852,35.16
  48. 724,Spain,2011,35.17146637246258,35.17
  49. 724,Spain,2012,35.47456642740108,35.47
  50. 724,Spain,2013,34.88323257947309,34.88
  51. 724,Spain,2014,35.15426445291235,35.15
  52. 724,Spain,2015,35.19754710704233,35.20
  53. 724,Spain,2016,35.46118808373880,35.46
  54. 724,Spain,2017,35.57571312405550,35.58
  55. 826,United Kingdom,2008,37.52948431725346,37.53
  56. 826,United Kingdom,2009,38.19535488611759,38.20
  57. 826,United Kingdom,2010,36.50139870416228,36.50
  58. 826,United Kingdom,2011,35.63314923500988,35.63
  59. 826,United Kingdom,2012,36.40386290710737,36.40
  60. 826,United Kingdom,2013,36.19185700145059,36.19
  61. 826,United Kingdom,2014,36.71082014716902,36.71
  62. 826,United Kingdom,2015,37.71210516055172,37.71
  63. 826,United Kingdom,2016,37.39402094647520,37.39
  64. 826,United Kingdom,2017,37.26713615762834,37.27
  65.  
  66. Average calculations using rounded 2dp values:
  67. Economy,Sum_of_10_values,Average_(Sum/10),Final_rounded_1dp
  68. France,372.35,37.235,37.2
  69. Ireland,383.14,38.314,38.3
  70. Portugal,395.66,39.566,39.6
  71. Spain,353.99,35.399,35.4
  72. United Kingdom,369.53,36.953,37.0

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