[FREQ] Frequency

[A] annual

[REF_AREA] Territory

[IT] Italy

[DATA_TYPE_AGGR] Aggregate

[B1G_B_W0] value added
[B2N_B_W0] net operating surplus
[D1_D_W0_X1] compensation of employees (a)
[D29_D_W0_X1] other taxes on production
[D632_D_W0_X1] social transfers in kind - purchased market production
[P11_C_W0_X1] market output
[P12_C_W0_X1] output for own final use
[P131_C_W0_X1] payments for other non-market output
[P132_D_W0] other non-market output, n.e.c.
[P13_C_W0] non-market output
[P1_C_W0] total output
[P2_D_W0_X1] intermediate consumption
[P31_D_W0_X1] individual consumption expenditure
[P32_D_W0_X1] collective consumption expenditure
[P3_D_W0_X1] final consumption expenditure
[P51C_D_W0] consumption of fixed capital

[NONFIN_ASSETS] Non financial assets

[Z] not applicable

[VALUATION] Valuation

[V] current prices

[ADJUSTMENT] Adjustment

[N] raw data

[INSTITUTIONAL_SECTOR] Institutional sector

[S13] general government

[EXPEND_PURPOSE] Expenditure by purpose

[Z] not applicable

[EDITION] Edition

[2019M10] Oct-2019
[2020M10] Oct-2020
[2020M4] Apr-2020
[2021M10] Oct-2021
[2021M4] Apr-2021
[2022M10] Oct-2022
[2022M4] Apr-2022
[2023M10] Oct-2023
[2023M4] Apr-2023

Search filters

Frequency [FREQ] (1)

Territory [REF_AREA] (1)

Aggregate [DATA_TYPE_AGGR] (16)

Non financial assets [NONFIN_ASSETS] (1)

Valuation [VALUATION] (1)

Adjustment [ADJUSTMENT] (1)

Institutional sector [INSTITUTIONAL_SECTOR] (1)

Expenditure by purpose [EXPEND_PURPOSE] (1)

Edition [EDITION] (9)

This dataset has 144 series:

Trim NA Values

Series code	1995	1996	1997	1998	1999	2000	2001	2002	2003	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021	2022
[A.IT.B2N_B_W0.Z.V.N.S13.Z.2020M10]	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	NA	NA	NA
[A.IT.B2N_B_W0.Z.V.N.S13.Z.2020M4]	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	NA	NA	NA
[A.IT.B2N_B_W0.Z.V.N.S13.Z.2021M10]	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	NA	NA
[A.IT.B2N_B_W0.Z.V.N.S13.Z.2021M4]	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	NA	NA
[A.IT.B2N_B_W0.Z.V.N.S13.Z.2022M10]	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	NA
[A.IT.B2N_B_W0.Z.V.N.S13.Z.2022M4]	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	NA
[A.IT.B2N_B_W0.Z.V.N.S13.Z.2023M10]	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1944
[A.IT.B2N_B_W0.Z.V.N.S13.Z.2023M4]	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
[A.IT.D1_D_W0_X1.Z.V.N.S13.Z.2019M10]	103785	113223	120295	115830	118984	124580	133402	139116	146457	151706	158253	165529	166035	171885	173166	174301	171347	167978	166780	165228	163919	166038	166810	172362	NA	NA	NA	NA
[A.IT.D1_D_W0_X1.Z.V.N.S13.Z.2020M10]	103785	113223	120295	115830	118984	124580	133402	139116	146457	151706	158253	165529	166035	171885	173166	174301	171347	167978	166780	165228	163919	166387	167221	172631	173054	NA	NA	NA

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