DBnomics, the world's economic database

[734_​1060_​DF_​DCCN_​FPA_​B14_​6] Generation of final consumption expenditure - editions from April 2017 to April 2019

Updated on DBnomics on January 14, 2023 (12:39 AM).

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Frequency [FREQ] (1)
Territory [REF_​AREA] (1)
Aggregate [DATA_​TYPE_​AGGR] (16)
Valuation [VALUATION] (1)
Adjustment [ADJUSTMENT] (1)
Edition [EDITION] (5)

This dataset has 80 series:

Series code 199519961997199819992000200120022003200420052006200720082009201020112012201320142015201620172018
[A.IT.D632_​D_​W0_​X1.V.N.2017M10] 18433 19746 20823 21947 24060 27993 32247 34193 35329 38488 40785 41873 42507 43372 45565 46281 44608 43345 43552 44210 43719 44480 NA NA
[A.IT.D632_​D_​W0_​X1.V.N.2017M4] 18433 19746 20823 21947 24060 27993 32247 34193 35329 38488 40785 41873 42507 43372 45565 46281 44608 43345 43552 44210 43770 44511 NA NA
[A.IT.D632_​D_​W0_​X1.V.N.2018M10] 18433 19746 20823 21947 24060 27993 32247 34193 35329 38488 40785 41873 42507 43372 45565 46281 44608 43345 43552 44210 43859 44570 45285 NA
[A.IT.D632_​D_​W0_​X1.V.N.2018M4] 18433 19746 20823 21947 24060 27993 32247 34193 35329 38488 40785 41873 42507 43372 45565 46281 44608 43345 43552 44210 43859 44674 45415 NA
[A.IT.D632_​D_​W0_​X1.V.N.2019M4] 18433 19746 20823 21947 24060 27993 32247 34193 35329 38488 40785 41873 42507 43372 45565 46281 44608 43345 43552 44210 43859 44568 44913 45888
[A.IT.P11_​C_​W0_​X1.V.N.2017M10] 6871 7891 9125 10024 10703 11132 10867 11067 10341 10863 10359 9216 9487 9804 10337 11176 12014 12233 14527 15115 14877 14940 NA NA
[A.IT.P11_​C_​W0_​X1.V.N.2017M4] 6871 7891 9125 10024 10703 11132 10867 11067 10341 10863 10359 9216 9487 9804 10337 11176 12014 12233 14527 15115 15393 15435 NA NA
[A.IT.P11_​C_​W0_​X1.V.N.2018M10] 6871 7891 9125 10024 10703 11132 10867 11067 10341 10863 10359 9216 9487 9804 10337 11176 12014 12233 14527 15115 14905 15189 15685 NA
[A.IT.P11_​C_​W0_​X1.V.N.2018M4] 6871 7891 9125 10024 10703 11132 10867 11067 10341 10863 10359 9216 9487 9804 10337 11176 12014 12233 14527 15115 14905 15107 15170 NA
[A.IT.P11_​C_​W0_​X1.V.N.2019M4] 6871 7891 9125 10024 10703 11132 10867 11067 10341 10863 10359 9216 9487 9804 10337 11176 12014 12233 14527 15115 14905 15189 15392 15448