Seasonal adjusted aggregates - editions from October 2018 to June 2019 [162_1058_DF_DCCN_ISTITUZ_QNA_B14_3]
Updated on DBnomics on January 14, 2023 (12:39 AM)
Frequency [FREQ]
Territory [REF_AREA]
Aggregate [DATA_TYPE_AGGR]
Institutional sector [INSTITUTIONAL_SECTOR]
Valuation [VALUATION]
Price [PRICE]
Adjustment [ADJUSTMENT]
Edition [EDITION]
Dataset has 256 series. Add search filters to narrow them.
| Series code | 1999-Q1 | 1999-Q2 | 1999-Q3 | 1999-Q4 | 2000-Q1 | 2000-Q2 | 2000-Q3 | 2000-Q4 | 2001-Q1 | 2001-Q2 | 2001-Q3 | 2001-Q4 | 2002-Q1 | 2002-Q2 | 2002-Q3 | 2002-Q4 | 2003-Q1 | 2003-Q2 | 2003-Q3 | 2003-Q4 | 2004-Q1 | 2004-Q2 | 2004-Q3 | 2004-Q4 | 2005-Q1 | 2005-Q2 | 2005-Q3 | 2005-Q4 | 2006-Q1 | 2006-Q2 | 2006-Q3 | 2006-Q4 | 2007-Q1 | 2007-Q2 | 2007-Q3 | 2007-Q4 | 2008-Q1 | 2008-Q2 | 2008-Q3 | 2008-Q4 | 2009-Q1 | 2009-Q2 | 2009-Q3 | 2009-Q4 | 2010-Q1 | 2010-Q2 | 2010-Q3 | 2010-Q4 | 2011-Q1 | 2011-Q2 | 2011-Q3 | 2011-Q4 | 2012-Q1 | 2012-Q2 | 2012-Q3 | 2012-Q4 | 2013-Q1 | 2013-Q2 | 2013-Q3 | 2013-Q4 | 2014-Q1 | 2014-Q2 | 2014-Q3 | 2014-Q4 | 2015-Q1 | 2015-Q2 | 2015-Q3 | 2015-Q4 | 2016-Q1 | 2016-Q2 | 2016-Q3 | 2016-Q4 | 2017-Q1 | 2017-Q2 | 2017-Q3 | 2017-Q4 | 2018-Q1 | 2018-Q2 | 2018-Q3 | 2018-Q4 | 2019-Q1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Q.IT.B11_B_W1_SA.S2.V.S.Y.2018M10 | -5938.3 | -5773.7 | -4565.6 | -4367.8 | -4435.3 | -2005.6 | -1859.1 | -1793.6 | -4484.6 | -3638.8 | -2572.9 | -5489.4 | -3462.5 | -2700.6 | -3368 | -1033.4 | 145 | -226.8 | -3097.8 | -3448 | -2214.4 | -2945.2 | -2547.8 | -105.2 | -852.7 | -156.6 | 961.5 | 1562.5 | 3884.9 | 2999.2 | 4087.3 | 1843.2 | 2046.2 | 1131.1 | 1010.6 | 1810.9 | 816.2 | 2938.7 | 4777 | 4255.5 | 3879.2 | 1689.1 | 1824.3 | 2815.7 | 6332.4 | 7297.6 | 7634.5 | 10671.8 | 9970.8 | 7301.4 | 5620 | 2433.6 | 102.2 | -3481.5 | -5583.2 | -6857.8 | -8136.6 | -9533.7 | -9503.6 | -9754 | -11292 | -10384.3 | -11132.5 | -13609.8 | -12355.6 | -11155.5 | -11169.4 | -12801.7 | -13399.2 | -13787.6 | -13447.6 | -12875.5 | -13511.6 | -12127.4 | -13376 | -13045.7 | -12988.2 | -11055.4 | |||
| Q.IT.B11_B_W1_SA.S2.V.S.Y.2019M1 | -5938.3 | -5773.7 | -4565.6 | -4367.8 | -4435.3 | -2005.6 | -1859.1 | -1793.6 | -4484.6 | -3638.8 | -2572.9 | -5489.4 | -3462.5 | -2700.6 | -3368 | -1033.4 | 145 | -226.8 | -3097.8 | -3448 | -2214.4 | -2945.2 | -2547.8 | -105.2 | -852.7 | -156.6 | 961.5 | 1562.5 | 3884.9 | 2999.2 | 4087.3 | 1843.2 | 2046.2 | 1131.1 | 1010.6 | 1810.9 | 816.2 | 2938.7 | 4777 | 4255.5 | 3879.2 | 1689.1 | 1824.3 | 2815.7 | 6332.4 | 7297.6 | 7634.5 | 10671.8 | 9970.8 | 7301.4 | 5620 | 2433.6 | 102.2 | -3481.5 | -5583.2 | -6857.8 | -8136.6 | -9533.7 | -9503.6 | -9754 | -11264.5 | -10378.4 | -11125.6 | -13650.2 | -12306.8 | -11146.4 | -11173 | -12855.9 | -13311.9 | -13750.2 | -13429.9 | -13018 | -13811.8 | -11940.7 | -13446.5 | -12861.7 | -12947.7 | -10923.8 | -10211.1 | ||
| Q.IT.B11_B_W1_SA.S2.V.S.Y.2019M4 | -5938.3 | -5773.7 | -4565.6 | -4367.8 | -4435.3 | -2005.6 | -1859.1 | -1793.6 | -4484.6 | -3638.8 | -2572.9 | -5489.4 | -3462.5 | -2700.6 | -3368 | -1033.4 | 145 | -226.8 | -3097.8 | -3448 | -2214.4 | -2945.2 | -2547.8 | -105.2 | -852.7 | -156.6 | 961.5 | 1562.5 | 3884.9 | 2999.2 | 4087.3 | 1843.2 | 2046.2 | 1131.1 | 1010.6 | 1810.9 | 816.2 | 2938.7 | 4777 | 4255.5 | 3879.2 | 1689.1 | 1824.3 | 2815.7 | 6332.4 | 7297.6 | 7634.5 | 10671.8 | 9970.8 | 7301.4 | 5620 | 2433.6 | 102.2 | -3481.5 | -5583.2 | -6857.8 | -8136.6 | -9533.7 | -9503.6 | -9754 | -11264.5 | -10378.4 | -11125.6 | -13650.2 | -12382.5 | -11165.3 | -11144.6 | -12863.9 | -13450.1 | -13788.3 | -13355.6 | -12897 | -13560.6 | -11542.5 | -13037.2 | -12408 | -12019.1 | -10666.6 | -10259.2 | -10664.2 | |
| Q.IT.B11_B_W1_SA.S2.V.S.Y.2019M6 | -5938.3 | -5773.7 | -4565.6 | -4367.8 | -4435.3 | -2005.6 | -1859.1 | -1793.6 | -4484.6 | -3638.8 | -2572.9 | -5489.4 | -3462.5 | -2700.6 | -3368 | -1033.4 | 145 | -226.8 | -3097.8 | -3448 | -2214.4 | -2945.2 | -2547.8 | -105.2 | -852.7 | -156.6 | 961.5 | 1562.5 | 3884.9 | 2999.2 | 4087.3 | 1843.2 | 2046.2 | 1131.1 | 1010.6 | 1810.9 | 816.2 | 2938.7 | 4777 | 4255.5 | 3879.2 | 1689.1 | 1824.3 | 2815.7 | 6332.4 | 7297.6 | 7634.5 | 10671.8 | 9970.8 | 7301.4 | 5620 | 2433.6 | 102.2 | -3481.5 | -5583.2 | -6857.8 | -8136.6 | -9533.7 | -9503.6 | -9754 | -11264.5 | -10378.4 | -11125.6 | -13650.2 | -12288.7 | -11150.3 | -11168 | -12949.3 | -13365.9 | -13788.8 | -13381.8 | -12954.5 | -13362.9 | -11517.2 | -13068.5 | -12599.8 | -11848.1 | -10881.5 | -10581.5 | -10298 | -13904.7 |
| Q.IT.B1GQ_B_W0_SA.S1.V.S.Y.2018M10 | 286838.8 | 289851.3 | 293686.2 | 300075.2 | 303913.4 | 307864.4 | 311820.3 | 317431.7 | 322170 | 324042 | 325032.7 | 327216.6 | 331562.2 | 334484.4 | 338125.2 | 341131.8 | 342854 | 345017.2 | 351119.3 | 352442.7 | 355549.4 | 360344.8 | 362587.6 | 367711.7 | 365097.5 | 369838.1 | 373893.8 | 381395 | 379301.4 | 386913.9 | 388502.3 | 395662.8 | 398196.5 | 399492.4 | 402463.7 | 409041.4 | 410522.9 | 412534.8 | 405907 | 402821 | 391983.8 | 390145 | 393563.3 | 396110.4 | 395236.6 | 399294.8 | 401849.5 | 406407 | 408560.1 | 410377 | 410117.1 | 408912.8 | 406405.5 | 404273.9 | 402168.4 | 400359.3 | 398309.3 | 400419.9 | 402482.2 | 403004.6 | 405585.6 | 404508.6 | 405413.9 | 407192.2 | 408766 | 410719.7 | 413875.7 | 417589.8 | 420297.1 | 421289 | 423365 | 425516.1 | 428324.4 | 430558.3 | 433107.1 | 434813.4 | 437335.2 | 441751.2 | |||
| Q.IT.B1GQ_B_W0_SA.S1.V.S.Y.2019M1 | 286838.8 | 289851.3 | 293686.2 | 300075.2 | 303913.4 | 307864.4 | 311820.3 | 317431.7 | 322170 | 324042 | 325032.7 | 327216.6 | 331562.2 | 334484.4 | 338125.2 | 341131.8 | 342854 | 345017.2 | 351119.3 | 352442.7 | 355549.4 | 360344.8 | 362587.6 | 367711.7 | 365097.5 | 369838.1 | 373893.8 | 381395 | 379301.4 | 386913.9 | 388502.3 | 395662.8 | 398196.5 | 399492.4 | 402463.7 | 409041.4 | 410522.9 | 412534.8 | 405907 | 402821 | 391983.8 | 390145 | 393563.3 | 396110.4 | 395236.6 | 399294.8 | 401849.5 | 406407 | 408560.1 | 410377 | 410117.1 | 408912.8 | 406405.5 | 404273.9 | 402168.4 | 400359.3 | 398309.3 | 400419.9 | 402482.2 | 403004.6 | 405514.6 | 404482.1 | 405481.2 | 407227.8 | 408746 | 410686.8 | 413922.9 | 417600.9 | 420271.1 | 421243.3 | 423421.6 | 425536.8 | 428276.8 | 430459.2 | 433175.9 | 434896.4 | 437989 | 441519.8 | 439820.9 | ||
| Q.IT.B1GQ_B_W0_SA.S1.V.S.Y.2019M4 | 286838.8 | 289851.3 | 293686.2 | 300075.2 | 303913.4 | 307864.4 | 311820.3 | 317431.7 | 322170 | 324042 | 325032.7 | 327216.6 | 331562.2 | 334484.4 | 338125.2 | 341131.8 | 342854 | 345017.2 | 351119.3 | 352442.7 | 355549.4 | 360344.8 | 362587.6 | 367711.7 | 365097.5 | 369838.1 | 373893.8 | 381395 | 379301.4 | 386913.9 | 388502.3 | 395662.8 | 398196.5 | 399492.4 | 402463.7 | 409041.4 | 410522.9 | 412534.8 | 405907 | 402821 | 391983.8 | 390145 | 393563.3 | 396110.4 | 395236.6 | 399294.8 | 401849.5 | 406407 | 408560.1 | 410377 | 410117.1 | 408912.8 | 406405.5 | 404273.9 | 402168.4 | 400359.3 | 398309.3 | 400419.9 | 402482.2 | 403004.6 | 405514.6 | 404482.1 | 405481.2 | 407227.8 | 408737.6 | 410675.4 | 413871.2 | 417647.3 | 420200 | 421379.3 | 423276.8 | 425683.1 | 428580 | 430941.5 | 433567.5 | 436149.3 | 438457.1 | 440171.1 | 438468.4 | 439517.7 | |
| Q.IT.B1GQ_B_W0_SA.S1.V.S.Y.2019M6 | 286838.8 | 289851.3 | 293686.2 | 300075.2 | 303913.4 | 307864.4 | 311820.3 | 317431.7 | 322170 | 324042 | 325032.7 | 327216.6 | 331562.2 | 334484.4 | 338125.2 | 341131.8 | 342854 | 345017.2 | 351119.3 | 352442.7 | 355549.4 | 360344.8 | 362587.6 | 367711.7 | 365097.5 | 369838.1 | 373893.8 | 381395 | 379301.4 | 386913.9 | 388502.3 | 395662.8 | 398196.5 | 399492.4 | 402463.7 | 409041.4 | 410522.9 | 412534.8 | 405907 | 402821 | 391983.8 | 390145 | 393563.3 | 396110.4 | 395236.6 | 399294.8 | 401849.5 | 406407 | 408560.1 | 410377 | 410117.1 | 408912.8 | 406405.5 | 404273.9 | 402168.4 | 400359.3 | 398309.3 | 400419.9 | 402482.2 | 403004.6 | 405514.6 | 404482.1 | 405481.2 | 407227.8 | 408783 | 410733.2 | 413874.3 | 417540.9 | 420177.4 | 421347.9 | 423350.6 | 425663.3 | 428559.1 | 431004.5 | 433644.4 | 436030.1 | 438532.2 | 439993.8 | 438458.5 | 439629.7 | 442141.5 |
| Q.IT.B1GQ_B_W0_SA.S11.V.S.Y.2018M10 | 131310.2 | 132193.6 | 134489.3 | 137193.4 | 138229.7 | 141374.6 | 143485.7 | 147054.1 | 149519.4 | 150201.2 | 150902.6 | 150976.6 | 153750.9 | 154531.2 | 155899.1 | 156805.6 | 156833.9 | 157739.3 | 159018.5 | 161651.1 | 162164.1 | 163911 | 164968 | 166181 | 166545.4 | 168861.7 | 171155.4 | 171873.5 | 171629.9 | 173762.6 | 175179.4 | 180469.4 | 181286.3 | 181424.2 | 182872.2 | 185138.4 | 188977.2 | 187916 | 184685.5 | 180384.4 | 175887.3 | 173479.6 | 174739.4 | 176377.1 | 175000.2 | 176871.3 | 179622.4 | 182408.3 | 182900.1 | 184668.7 | 184266 | 182234.6 | 180306.6 | 178560.4 | 177020.7 | 175897.6 | 174990.3 | 176208.6 | 177172.7 | 177473.5 | 178808.5 | 178009.5 | 178444.9 | 179433.5 | 180797.3 | 182023.7 | 185112.1 | 188541.4 | 190581.7 | 191820.4 | 193941.4 | 195900.4 | 196773.6 | 198866.1 | 200213.5 | 200990.4 | 202161.7 | 202460.3 | |||
| Q.IT.B1GQ_B_W0_SA.S11.V.S.Y.2019M1 | 131310.2 | 132193.6 | 134489.3 | 137193.4 | 138229.7 | 141374.6 | 143485.7 | 147054.1 | 149519.4 | 150201.2 | 150902.6 | 150976.6 | 153750.9 | 154531.2 | 155899.1 | 156805.6 | 156833.9 | 157739.3 | 159018.5 | 161651.1 | 162164.1 | 163911 | 164968 | 166181 | 166545.4 | 168861.7 | 171155.4 | 171873.5 | 171629.9 | 173762.6 | 175179.4 | 180469.4 | 181286.3 | 181424.2 | 182872.2 | 185138.4 | 188977.2 | 187916 | 184685.5 | 180384.4 | 175887.3 | 173479.6 | 174739.4 | 176377.1 | 175000.2 | 176871.3 | 179622.4 | 182408.3 | 182900.1 | 184668.7 | 184266 | 182234.6 | 180306.6 | 178560.4 | 177020.7 | 175897.6 | 174990.3 | 176208.6 | 177172.7 | 177473.5 | 178792 | 177987.8 | 178478.7 | 179441.6 | 180770.2 | 181991.8 | 185167.2 | 188549.1 | 190555.1 | 191769.3 | 194033.2 | 195890.1 | 196681.3 | 198782.9 | 200405.1 | 200978.2 | 202323.1 | 202337.8 | 201933.5 |
Showing results 1 - 10 / 256
Dimension codes and labels
[FREQ] Frequency
- [Q] quarterly
[REF_AREA] Territory
- [IT] Italy
[DATA_TYPE_AGGR] Aggregate
- [B11_B_W1_SA] external balance of goods and services
- [B1GQ_B_W0_SA] gross domestic product/value added gross
- [B2A3G_B_W0_SA] gross operating surplus and gross mixed income
- [B2G_B_W0_SA] gross operating surplus
- [B3G_B_W0_SA] gross mixed income
- [B6G_B_W0_SA] gross disposable income
- [B7G_B_W0_SA] adjusted disposable income, gross
- [B8G_B_W0_SA] gross savings
- [D1_D_W0_SA] compensation of employees (debt)
- [D21X31_C_W0_SA] taxes less subsidies on products (credit)
- [D2_D_W0_SA] taxes on production and imports (debt)
- [D3_C_W0_SA] total subsidies
- [D63_C_W0_SA] social transfers in kind (credit)
- [D63_D_W0_SA] social transfers in kind (debt)
- [D8_C_W0_SA] adjustment for change in pension entitlements (credit)
- [D8_D_W0_SA] adjustment for change in pension entitlements (debt)
- [P31_D_W0_SA] individual consumption expenditure (debt)
- [P32_D_W0_SA] collective consumption expenditure (debt)
- [P3_D_W0_SA] final consumption expenditure (debt)
- [P41_D_W0_SA] actual individual consumption (debt)
- [P42_D_W0_SA] actual collective consumption (debt)
- [P4_D_W0_SA] actual final consumption (debt)
- [P51G_D_W0_SA] gross fixed capital formation (debt)
- [P5M_D_W0_SA] changes in inventories and net acq. of valuables (debt)
- [P5_D_W0_SA] gross capital formation
- [P61_D_W1_SA] exports of goods
- [P62_D_W1_SA] exports of services
- [P6_D_W1_SA] exports of goods and services
- [P71_C_W1_SA] imports of goods
- [P72_C_W1_SA] imports of services
- [P7_C_W1_SA] imports of goods and services
[INSTITUTIONAL_SECTOR] Institutional sector
- [S1] total economy
- [S11] non-financial corporations
- [S13] general government
- [S14A] consumer households
- [S1M] households and non profit istitutions serving households
- [S1N] not specified total economy
- [S2] rest of the world
[VALUATION] Valuation
- [V] current prices
[PRICE] Price
- [S] standard valuation based on SNA/ESA
[ADJUSTMENT] Adjustment
- [Y] seasonally adjusted data
[EDITION] Edition
- [2018M10] Oct-2018
- [2019M1] Jan-2019
- [2019M4] Apr-2019
- [2019M6] Jun-2019