Gross domestic product, expenditure components and contribution to GDP growth - editions from October 2014 to August 2019 [732_1051]

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

Frequency [FREQ]
Territory [REF_AREA]
Aggregate [DATA_TYPE_AGGR]
Valuation [VALUATION]
Adjustment [ADJUSTMENT]
Edition [EDITION]

Dataset has 4,056 series. Add search filters to narrow them.

Series code 1996-Q21996-Q31996-Q41997-Q11997-Q21997-Q31997-Q41998-Q11998-Q21998-Q31998-Q41999-Q11999-Q21999-Q31999-Q42000-Q12000-Q22000-Q32000-Q42001-Q12001-Q22001-Q32001-Q42002-Q12002-Q22002-Q32002-Q42003-Q12003-Q22003-Q32003-Q42004-Q12004-Q22004-Q32004-Q42005-Q12005-Q22005-Q32005-Q42006-Q12006-Q22006-Q32006-Q42007-Q12007-Q22007-Q32007-Q42008-Q12008-Q22008-Q32008-Q42009-Q12009-Q22009-Q32009-Q42010-Q12010-Q22010-Q32010-Q42011-Q12011-Q22011-Q32011-Q42012-Q12012-Q22012-Q32012-Q42013-Q12013-Q22013-Q32013-Q42014-Q12014-Q22014-Q32014-Q42015-Q12015-Q22015-Q32015-Q42016-Q12016-Q22016-Q3
Q.IT.B11_B_W1_S1_X1.GO1.Y.2014M12 0.6 -0.2 -0.5 -0.2 -0.2 0 -0.3 -0.5 0.1 -0.3 -1.3 -0.4 0.3 0.1 0.1 0.7 -0.7 0.3 0.1 0.4 -0.1 -0.5 0 -0.4 0 0.1 -0.8 -0.4 -0.2 0.9 0 -0.3 0.5 0 -0.6 0 0.3 0.4 -0.2 -0.3 0.5 -0.4 0.2 -0.1 0.4 -0.2 0 0.6 -0.3 -0.1 -0.6 -1.1 0.6 0 -0.4 -0.2 0.3 0.2 -0.6 0.6 0.9 0.3 0.8 0.9 0.8 0.5 0.3 0.1 0.3 -0.2 0 0.2 0.1 0.1
Q.IT.B11_B_W1_S1_X1.GO1.Y.2015M10 0.613 -0.121 -0.545 -0.149 -0.242 0.056 -0.361 -0.463 0.106 -0.256 -1.356 -0.376 0.308 0.111 0.158 0.673 -0.721 0.307 0.109 0.429 -0.071 -0.507 0.018 -0.427 -0.016 0.109 -0.859 -0.396 -0.206 0.938 0.004 -0.337 0.494 0.029 -0.565 -0.012 0.353 0.429 -0.184 -0.284 0.477 -0.417 0.234 -0.184 0.489 -0.186 -0.041 0.531 -0.288 -0.024 -0.617 -1.08 0.554 0.008 -0.43 -0.184 0.303 0.114 -0.7 0.603 0.879 0.282 0.785 0.976 0.96 0.433 0.271 0.061 0.493 -0.224 -0.102 0.022 0.171 -0.172 0.374 -0.356 -0.184
Q.IT.B11_B_W1_S1_X1.GO1.Y.2015M12 0.613 -0.121 -0.545 -0.149 -0.242 0.056 -0.361 -0.463 0.106 -0.256 -1.356 -0.376 0.308 0.111 0.158 0.673 -0.721 0.307 0.109 0.429 -0.071 -0.507 0.018 -0.427 -0.016 0.109 -0.859 -0.396 -0.206 0.938 0.004 -0.337 0.494 0.029 -0.565 -0.012 0.353 0.429 -0.184 -0.284 0.477 -0.417 0.234 -0.184 0.489 -0.186 -0.041 0.531 -0.288 -0.024 -0.617 -1.08 0.554 0.008 -0.43 -0.184 0.303 0.114 -0.7 0.609 0.879 0.293 0.782 0.976 0.948 0.45 0.255 0.044 0.486 -0.18 -0.076 -0.024 0.123 -0.121 0.443 -0.362 -0.038 -0.368
Q.IT.B11_B_W1_S1_X1.GO1.Y.2015M3 0.613 -0.121 -0.545 -0.149 -0.242 0.056 -0.361 -0.463 0.106 -0.256 -1.356 -0.376 0.308 0.111 0.158 0.673 -0.721 0.307 0.109 0.429 -0.071 -0.507 0.018 -0.427 -0.016 0.109 -0.859 -0.396 -0.206 0.938 0.004 -0.337 0.494 0.029 -0.565 -0.012 0.353 0.429 -0.184 -0.284 0.477 -0.417 0.234 -0.184 0.489 -0.186 -0.041 0.59 -0.271 -0.067 -0.599 -1.091 0.574 -0.014 -0.428 -0.16 0.279 0.104 -0.672 0.594 0.853 0.3 0.827 1.01 0.883 0.458 0.263 -0.005 0.381 -0.208 -0.031 0.159 0.087 -0.062 0.385
Q.IT.B11_B_W1_S1_X1.GO1.Y.2015M5 0.613 -0.121 -0.545 -0.149 -0.242 0.056 -0.361 -0.463 0.106 -0.256 -1.356 -0.376 0.308 0.111 0.158 0.673 -0.721 0.307 0.109 0.429 -0.071 -0.507 0.018 -0.427 -0.016 0.109 -0.859 -0.396 -0.206 0.938 0.004 -0.337 0.494 0.029 -0.565 -0.012 0.353 0.429 -0.184 -0.284 0.477 -0.417 0.234 -0.184 0.489 -0.186 -0.041 0.59 -0.271 -0.067 -0.599 -1.091 0.574 -0.014 -0.428 -0.16 0.279 0.104 -0.672 0.605 0.843 0.294 0.851 0.992 0.891 0.445 0.291 -0.008 0.372 -0.222 -0.024 0.18 0.058 -0.092 0.395 -0.358
Q.IT.B11_B_W1_S1_X1.GO1.Y.2015M9 0.613 -0.121 -0.545 -0.149 -0.242 0.056 -0.361 -0.463 0.106 -0.256 -1.356 -0.376 0.308 0.111 0.158 0.673 -0.721 0.307 0.109 0.429 -0.071 -0.507 0.018 -0.427 -0.016 0.109 -0.859 -0.396 -0.206 0.938 0.004 -0.337 0.494 0.029 -0.565 -0.012 0.353 0.429 -0.184 -0.284 0.477 -0.417 0.234 -0.184 0.489 -0.186 -0.041 0.59 -0.271 -0.067 -0.599 -1.091 0.574 -0.014 -0.428 -0.16 0.279 0.104 -0.672 0.6 0.888 0.289 0.806 0.986 0.963 0.417 0.258 -0.014 0.439 -0.248 -0.07 0.174 0.143 -0.134 0.365 -0.277 -0.23
Q.IT.B11_B_W1_S1_X1.GO1.Y.2016M10 0.652 -0.141 -0.531 -0.178 -0.211 0.025 -0.357 -0.449 0.113 -0.281 -1.349 -0.363 0.298 0.116 0.148 0.684 -0.729 0.329 0.084 0.448 -0.07 -0.51 0.023 -0.417 -0.047 0.134 -0.862 -0.404 -0.237 0.967 0.002 -0.307 0.457 0.036 -0.562 0.005 0.332 0.413 -0.156 -0.282 0.468 -0.42 0.215 -0.182 0.476 -0.128 -0.006 0.526 -0.275 -0.038 -0.65 -1.046 0.532 0.009 -0.425 -0.138 0.26 0.108 -0.687 0.624 0.853 0.284 0.786 1.007 0.889 0.478 0.283 0.084 0.31 -0.125 -0.143 -0.001 -0.037 -0.141 0.417 -0.469 0.007 -0.354 0.115 -0.205 0.329
Q.IT.B11_B_W1_S1_X1.GO1.Y.2016M12 0.652 -0.141 -0.531 -0.178 -0.211 0.025 -0.357 -0.449 0.113 -0.281 -1.349 -0.363 0.298 0.116 0.148 0.684 -0.729 0.329 0.084 0.448 -0.07 -0.51 0.023 -0.417 -0.047 0.134 -0.862 -0.404 -0.237 0.967 0.002 -0.307 0.457 0.036 -0.562 0.005 0.332 0.413 -0.156 -0.282 0.468 -0.42 0.215 -0.182 0.476 -0.128 -0.006 0.526 -0.275 -0.038 -0.65 -1.046 0.532 0.009 -0.425 -0.138 0.26 0.108 -0.687 0.624 0.853 0.284 0.786 0.992 0.909 0.489 0.262 0.083 0.324 -0.127 -0.156 -0.013 -0.021 -0.135 0.429 -0.439 0.014 -0.437 0.077 -0.071 0.261 -0.141
Q.IT.B11_B_W1_S1_X1.GO1.Y.2016M3 0.652 -0.141 -0.531 -0.178 -0.21 0.025 -0.357 -0.449 0.114 -0.282 -1.349 -0.363 0.297 0.116 0.147 0.684 -0.729 0.329 0.084 0.448 -0.069 -0.51 0.023 -0.417 -0.047 0.134 -0.862 -0.404 -0.237 0.967 0.002 -0.307 0.458 0.036 -0.562 0.005 0.332 0.413 -0.156 -0.281 0.469 -0.42 0.215 -0.182 0.476 -0.128 -0.006 0.526 -0.275 -0.038 -0.65 -1.047 0.538 0.013 -0.436 -0.158 0.288 0.104 -0.7 0.627 0.869 0.272 0.795 0.994 0.919 0.452 0.287 0.009 0.366 -0.126 -0.106 0.024 0.024 -0.147 0.424 -0.435 -0.008 -0.345 0.109
Q.IT.B11_B_W1_S1_X1.GO1.Y.2016M5 0.652 -0.141 -0.531 -0.178 -0.21 0.025 -0.357 -0.449 0.114 -0.282 -1.349 -0.363 0.297 0.116 0.147 0.684 -0.729 0.329 0.084 0.448 -0.069 -0.51 0.023 -0.417 -0.047 0.134 -0.862 -0.404 -0.237 0.967 0.002 -0.307 0.458 0.036 -0.562 0.005 0.332 0.413 -0.156 -0.281 0.469 -0.42 0.215 -0.182 0.476 -0.128 -0.006 0.526 -0.275 -0.038 -0.65 -1.047 0.538 0.013 -0.436 -0.158 0.288 0.104 -0.7 0.627 0.869 0.272 0.795 1.005 0.933 0.453 0.248 0.046 0.365 -0.14 -0.123 0.055 0.031 -0.155 0.376 -0.381 -0.02 -0.356 0.108 -0.194
Dimension codes and labels
[FREQ] Frequency
  • [Q] quarterly
[REF_AREA] Territory
  • [IT] Italy
[DATA_TYPE_AGGR] Aggregate
  • [B11_B_W1_S1_X1] external balance of goods and services
  • [B1GQ_B_W2_S1] gross domestic product at market prices
  • [GSA_Z_Z_Z] goods and services account
  • [P3AP51G_D_W0_S1] national demand (excluding changes in inventories and acquisitions less disposals of valuables)
  • [P3_D_W0_S1] national final consumption expenditure
  • [P3_D_W0_S13] consumption of general government
  • [P3_D_W0_S1M] final consumption expenditure of households and non-profit institutions serving households (npish)
  • [P51G_D_W0_S1] gross fixed capital formation
  • [P5M_D_W0_S1] changes in inventories, acquisitions less disposals of valuables
  • [P61_D_W1_S1] exports of goods (fob)
  • [P62_D_W1_S1] exports of services
  • [P6_D_W1_S1] exports of goods (fob) and services
  • [P71_C_W1_S1] imports of goods (fob)
  • [P72_C_W1_S1] imports of services
  • [P7_C_W1_S1] imports of goods (fob) and services
  • [TR_C_Z_S1] resources
  • [TU_D_Z_S1] uses
[VALUATION] Valuation
  • [G1] growth rate, period on period
  • [G4] growth rate over 4 periods
  • [GO1] contribution to GDP growth with respect to the previous period
  • [GO4] contribution to GDP growth with respect to the same period of the previous year
  • [L_2010] chain linked - reference year 2010
  • [V] current prices
  • [Y] in previous year prices
[ADJUSTMENT] Adjustment
  • [N] raw data
  • [W] calendar adjusted data
  • [Y] seasonally adjusted data
[EDITION] Edition
  • [2014M10] Oct-2014
  • [2014M12] Dec-2014
  • [2015M10] Oct-2015
  • [2015M12] Dec-2015
  • [2015M3] Mar-2015
  • [2015M5] May-2015
  • [2015M9] Sep-2015
  • [2016M10] Oct-2016
  • [2016M11_1] Nov-2016 (preliminary estimate)
  • [2016M12] Dec-2016
  • [2016M3] Mar-2016
  • [2016M5] May-2016
  • [2016M5_1] May-2016 (preliminary estimate)
  • [2016M8_1] Aug-2016 (preliminary estimate)
  • [2016M9] Sep-2016
  • [2017M10] Oct-2017
  • [2017M11_1] Nov-2017 (preliminary estimate)
  • [2017M12] Dec-2017
  • [2017M2_1] Feb-2017 (preliminary estimate)
  • [2017M3] Mar-2017
  • [2017M5_1] May-2017 (preliminary estimate)
  • [2017M6] Jun-2017
  • [2017M8_1] Aug-2017 (preliminary estimate)
  • [2017M9] Sep-2017
  • [2018M10] Oct-2018
  • [2018M10_1] Oct-2018 (preliminary estimate)
  • [2018M11] Nov-2018
  • [2018M2_1] Feb-2018 (preliminary estimate)
  • [2018M3] Mar-2018
  • [2018M4] Apr-2018
  • [2018M5_1] May-2018 (preliminary estimate)
  • [2018M6] Jun-2018
  • [2018M7_1] Jul-2018 (preliminary estimate)
  • [2018M8] Aug-2018
  • [2019M1_1] Jan-2019 (preliminary estimate)
  • [2019M3] Mar-2019
  • [2019M4] Apr-2019
  • [2019M4_1] Apr-2019 (preliminary estimate)
  • [2019M5] May-2019
  • [2019M7_1] Jul-2019 (preliminary estimate)
  • [2019M8] Aug-2019
Technical links