Gross domestic product and expenditure components [163_156_DF_DCCN_SQCQ_1]
Updated on DBnomics on March 6, 2024 (6:01 AM)
Frequency [FREQ]
Territory [REF_AREA]
Aggregate [DATA_TYPE_AGGR]
Valuation [VALUATION]
Adjustment [ADJUSTMENT]
Edition [EDITION]
Dataset has 3,449 series. Add search filters to narrow them.
- quarterly – Italy – gross domestic product at market prices (B1GQ_B_W2_S1) – chain linked - reference year 2015 – raw data – Oct-2019 [ISTAT/163_156_DF_DCCN_SQCQ_1/Q.IT.B1GQ_B_W2_S1.L_2015.N.2019M10]
- min:
- 367,123.9
- max:
- 458,023.3
- avg:
- 419,975.043
- σ:
- 19,508.725
- quarterly – Italy – gross domestic product at market prices (B1GQ_B_W2_S1) – chain linked - reference year 2015 – raw data – Nov-2019 [ISTAT/163_156_DF_DCCN_SQCQ_1/Q.IT.B1GQ_B_W2_S1.L_2015.N.2019M11]
- min:
- 367,123.9
- max:
- 458,023.3
- avg:
- 420,095.745
- σ:
- 19,455.677
- quarterly – Italy – gross domestic product at market prices (B1GQ_B_W2_S1) – chain linked - reference year 2015 – raw data – Oct-2020 [ISTAT/163_156_DF_DCCN_SQCQ_1/Q.IT.B1GQ_B_W2_S1.L_2015.N.2020M10]
- min:
- 354,596.5
- max:
- 457,820.6
- avg:
- 419,448.005
- σ:
- 20,468.842
- quarterly – Italy – gross domestic product at market prices (B1GQ_B_W2_S1) – chain linked - reference year 2015 – raw data – Dec-2020 [ISTAT/163_156_DF_DCCN_SQCQ_1/Q.IT.B1GQ_B_W2_S1.L_2015.N.2020M12]
- min:
- 354,173.1
- max:
- 457,820.6
- avg:
- 419,364.656
- σ:
- 20,389.356
- quarterly – Italy – gross domestic product at market prices (B1GQ_B_W2_S1) – chain linked - reference year 2015 – raw data – Mar-2020 [ISTAT/163_156_DF_DCCN_SQCQ_1/Q.IT.B1GQ_B_W2_S1.L_2015.N.2020M3]
- min:
- 367,123.9
- max:
- 458,023.3
- avg:
- 420,308.36
- σ:
- 19,463.319
- quarterly – Italy – gross domestic product at market prices (B1GQ_B_W2_S1) – chain linked - reference year 2015 – raw data – May-2020 [ISTAT/163_156_DF_DCCN_SQCQ_1/Q.IT.B1GQ_B_W2_S1.L_2015.N.2020M5]
- min:
- 367,123.9
- max:
- 458,023.3
- avg:
- 420,051.864
- σ:
- 19,512.594
- quarterly – Italy – gross domestic product at market prices (B1GQ_B_W2_S1) – chain linked - reference year 2015 – raw data – Jun-2020 [ISTAT/163_156_DF_DCCN_SQCQ_1/Q.IT.B1GQ_B_W2_S1.L_2015.N.2020M6]
- min:
- 367,123.9
- max:
- 458,023.3
- avg:
- 420,051.864
- σ:
- 19,512.594
- quarterly – Italy – gross domestic product at market prices (B1GQ_B_W2_S1) – chain linked - reference year 2015 – raw data – Aug-2020 [ISTAT/163_156_DF_DCCN_SQCQ_1/Q.IT.B1GQ_B_W2_S1.L_2015.N.2020M8]
- min:
- 355,106.8
- max:
- 458,023.3
- avg:
- 419,384.166
- σ:
- 20,485.007
- quarterly – Italy – gross domestic product at market prices (B1GQ_B_W2_S1) – chain linked - reference year 2015 – raw data – Oct-2021 [ISTAT/163_156_DF_DCCN_SQCQ_1/Q.IT.B1GQ_B_W2_S1.L_2015.N.2021M10]
- min:
- 355,139.8
- max:
- 458,429.4
- avg:
- 419,057.803
- σ:
- 20,408.097
- quarterly – Italy – gross domestic product at market prices (B1GQ_B_W2_S1) – chain linked - reference year 2015 – raw data – Nov-2021 [ISTAT/163_156_DF_DCCN_SQCQ_1/Q.IT.B1GQ_B_W2_S1.L_2015.N.2021M11]
- min:
- 355,362.2
- max:
- 458,429.4
- avg:
- 419,136.488
- σ:
- 20,314.8
Showing results 1 - 10 / 3,449
Dimension codes and labels
[FREQ] Frequency
- [Q] quarterly
[REF_AREA] Territory
- [IT] Italy
[DATA_TYPE_AGGR] Aggregate
- [B1GQ_B_W2_S1] gross domestic product at market prices
- [GSA_Z_Z_Z] goods and services account
- [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
- [L_2015] chain linked - reference year 2015
- [V] current prices
- [Y] in previous year prices
[ADJUSTMENT] Adjustment
- [N] raw data
- [W] calendar adjusted data
- [Y] seasonally adjusted data
[EDITION] Edition
- [2019M10] Oct-2019
- [2019M10_1] Oct-2019 (preliminary estimate)
- [2019M11] Nov-2019
- [2020M10] Oct-2020
- [2020M10_1] Oct-2020 (preliminary estimate)
- [2020M12] Dec-2020
- [2020M1_1] Jan-2020 (preliminary estimate)
- [2020M3] Mar-2020
- [2020M4_1] Apr-2020 (preliminary estimate)
- [2020M5] May-2020
- [2020M6] Jun-2020
- [2020M7_1] Jul-2020 (preliminary estimate)
- [2020M8] Aug-2020
- [2021M10] Oct-2021
- [2021M10_1] Oct-2021 (preliminary estimate)
- [2021M11] Nov-2021
- [2021M2_1] Feb-2021 (preliminary estimate)
- [2021M3] Mar-2021
- [2021M4_1] Apr-2021 (preliminary estimate)
- [2021M6] Jun-2021
- [2021M7_1] Jul-2021 (preliminary estimate)
- [2021M8] Aug-2021
- [2022M10] Oct-2022
- [2022M10_1] Oct-2022 (preliminary estimate)
- [2022M11] Nov-2022
- [2022M1_1] Jan-2022 (preliminary estimate)
- [2022M3] Mar-2022
- [2022M4] Apr-2022
- [2022M4_1] Apr-2022 (preliminary estimate)
- [2022M5] May-2022
- [2022M7_1] Jul-2022 (preliminary estimate)
- [2022M9] Sep-2022
- [2023M10] Oct-2023
- [2023M10_1] Oct-2023 (preliminary estimate)
- [2023M12] Dec-2023
- [2023M1_1] Jan-2023 (preliminary estimate)
- [2023M3] Mar-2023
- [2023M4] Apr-2023
- [2023M4_1] Apr-2023 (preliminary estimate)
- [2023M5] May-2023
- [2023M7_1] Jul-2023 (preliminary estimate)
- [2023M9] Sep-2023
- [2024M1_1] Jan-2024 (preliminary estimate)
- [2024M3] Mar-2024