[669_1116] National materials' use accounts 2014 version
Updated on DBnomics on January 14, 2023 (12:39 AM).
[FREQ] Frequency
- [A] annual
[REF_AREA] Territory
- [IT] Italy
[DATA_TYPE_AGGR] Aggregate
- [BIOMS] biomass
- [DMC] direct material consumption (DMC=UMDEXT+IWORLD-OWORLD)
- [DMI] direct material input (DMI=UMDEXT+IWORLD)
- [EXP] exports
- [FOSFUE] fossil fuels
- [IMP] imports
- [IWORLD] direct input of materials from the rest of the world
- [MINER] minerals
- [OWORLD] direct output of materials to the rest of the world (-)
- [PTB] physical trade balance (PTB=IWORLD-OWORLD)
- [UMABRO] use of materials purchased abroad by resident units
- [UMDEXT] used material domestic extraction
- [UMITA] use of materials purchased in Italy by non-resident units
[TYPE_OF_MATERIAL] Type of material
- [A1] biomass
- [A1_1] crops (excluding fodder crops)
- [A1_1_1] cereals
- [A1_1_2] roots, tubers
- [A1_1_3] sugar crops
- [A1_1_4] pulses
- [A1_1_5] nuts
- [A1_1_6] oil-bearing crops
- [A1_1_7] vegetables
- [A1_1_8] fruits
- [A1_1_9_E_A1_1_10] other crops (fibres, spices, tobacco etc.)
- [A1_2_1] crop residues (used)
- [A1_2_2] fodder crops and grazed biomass
- [A1_2_2_1] fodder crops (incl. biomass harvest from grassland)
- [A1_3] wood
- [A1_3_1] timber (industrial roundwood)
- [A1_3_2] wood fuel and other extraction
- [A1_4] animals, other biomasses
- [A1_4_1_E_A1_4_2] fish catch, other aquatic animals
- [A1_4_3] hunting and gathering
- [A2] metal ores (gross ores)
- [A3] non metalic minerals
- [A3_1_1] ornamental or building stone
- [A3_1_2] chalk and dolomite
- [A3_1_3] slate
- [A3_1_4] chemical and fertilizer minerals
- [A3_1_4_E_A3_1_9] other mining and quarrying products n.e.c (including chemical and fertilizer minerals)
- [A3_1_5] salt
- [A3_1_6] limestone and gypsum
- [A3_1_7] sand and gravel
- [A3_1_8] clays and kaolin
- [A3_1_9] other mining and quarrying products n.e.c.
- [A4] fossil energy materials/carriers
- [A4_1] coal and other solid energy materials/carriers
- [A4_2] liquid and gaseous energy materials/carriers
- [A4_2_1] crude oil, condensate and natural gas liquids (NGL)
- [A4_2_2] natural gas
- [A_3_1_10] excavated earthen materials (including soil), only if used
- [TOT] total
- [X1_3] wood and wood products
- [X1_3_1] timber, raw and processed
- [X1_3_2] wood fuel and other extraction, raw and processed
- [X1_5_1] live animals
- [X1_5_2] meat and meat preparations
- [X1_5_3] dairy products, birds eggs, and honey
- [X1_5_4] other products from animals (animal fibres, skins, furs, leather etc.)
- [X2] metal ores, concentrates and metals
- [X2_1] iron ores and concentrates, iron and steel
- [X2_2] non-ferrous metal ores, concentrates and refined metals
- [X5] adjustment for residence principle
- [X5_1] fuel for land transport bunkered by resident units abroad
- [X5_2] fuel for land transport bunkered by non-resident units domestically
- [X5_3] fuel for water transport bunkered by resident units abroad
- [X5_4] fuel for water transport bunkered by non-resident units domestically
- [X5_5] fuel for air transport bunkered by resident units abroad
- [X5_6] fuel for air transport bunkered by non-resident units domestically
- [X6] composite products, waste, other products
- [X6_1] products mainly from biomass
- [X6_2] products mainly from metals
- [X6_3] products mainly from non metallic minerals
- [X6_4] products mainly from fossil fuels
- [X6_5] waste, other mixed and composite products
[FREQUENCY] Frequency
- [A] annual
[EDITION] Edition
- [2016M1] Jan-2016
- [2017M1] Jan-2017
- [2018M3] Mar-2018
- [2019M2] Feb-2019
Search filters
Frequency [FREQ] (1)
Territory [REF_AREA] (1)
Aggregate [DATA_TYPE_AGGR] (13)
Type of material [TYPE_OF_MATERIAL] (62)
Frequency [FREQUENCY] (1)
Edition [EDITION] (4)
This dataset has 576 series:
- min:
- 257,853
- max:
- 378,107
- avg:
- 316,102.417
- σ:
- 35,193.527
- min:
- 257,853
- max:
- 378,107
- avg:
- 315,478.56
- σ:
- 34,617.65
- min:
- 257,853
- max:
- 378,108
- avg:
- 315,198
- σ:
- 33,974.681
- min:
- 257,853
- max:
- 378,108
- avg:
- 315,300.815
- σ:
- 33,343.706
- min:
- 27,374
- max:
- 44,171
- avg:
- 36,967.917
- σ:
- 4,441.864
- min:
- 27,374
- max:
- 44,171
- avg:
- 37,165.88
- σ:
- 4,458.867
- min:
- 27,374
- max:
- 44,171
- avg:
- 37,420.731
- σ:
- 4,554.179
- min:
- 27,374
- max:
- 44,378
- avg:
- 37,678.407
- σ:
- 4,658.187
- min:
- 12,589
- max:
- 23,686
- avg:
- 17,414.667
- σ:
- 2,900.689
- min:
- 12,589
- max:
- 23,686
- avg:
- 17,612.92
- σ:
- 3,003.455
Series code | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[A.IT.IMP.TOT.A.2016M1] | 275590 | 272735 | 257853 | 271511 | 285729 | 278603 | 289395 | 304266 | 307842 | 329026 | 330033 | 334804 | 343783 | 360283 | 361179 | 375682 | 378107 | 363549 | 307658 | 339696 | 332142 | 309534 | 293142 | 284316 | NA | NA | NA |
[A.IT.IMP.TOT.A.2017M1] | 275590 | 272735 | 257853 | 271511 | 285729 | 278603 | 289395 | 304266 | 307842 | 329026 | 330033 | 334804 | 343783 | 360283 | 361179 | 375682 | 378107 | 363549 | 307658 | 339696 | 332142 | 309534 | 293142 | 284316 | 300506 | NA | NA |
[A.IT.IMP.TOT.A.2018M3] | 275590 | 272735 | 257853 | 271511 | 285729 | 278603 | 289395 | 304266 | 307842 | 329027 | 330035 | 334804 | 343784 | 360286 | 361178 | 375682 | 378108 | 363549 | 307658 | 339696 | 332142 | 309534 | 293142 | 284316 | 300506 | 308177 | NA |
[A.IT.IMP.TOT.A.2019M2] | 275590 | 272735 | 257853 | 271511 | 285729 | 278603 | 289395 | 304266 | 307842 | 329027 | 330035 | 334804 | 343784 | 360286 | 361178 | 375682 | 378108 | 363549 | 307658 | 339696 | 332142 | 309534 | 293142 | 284316 | 300506 | 308177 | 317974 |
[A.IT.IWORLD.A1.A.2016M1] | 34739 | 30294 | 27374 | 29358 | 31615 | 31783 | 33553 | 34595 | 35012 | 36856 | 37266 | 38689 | 39730 | 41161 | 39364 | 42030 | 41617 | 38080 | 37192 | 41488 | 42121 | 38466 | 40676 | 44171 | NA | NA | NA |
[A.IT.IWORLD.A1.A.2017M1] | 34739 | 30294 | 27374 | 29358 | 31615 | 31783 | 33553 | 34595 | 35012 | 36856 | 37266 | 38689 | 39730 | 41161 | 39364 | 42030 | 41617 | 38080 | 37192 | 41488 | 42121 | 38466 | 40676 | 44171 | 41917 | NA | NA |
[A.IT.IWORLD.A1.A.2018M3] | 34739 | 30294 | 27374 | 29358 | 31615 | 31783 | 33553 | 34595 | 35012 | 36856 | 37266 | 38689 | 39730 | 41161 | 39364 | 42030 | 41617 | 38080 | 37192 | 41488 | 42121 | 38466 | 40676 | 44171 | 41917 | 43792 | NA |
[A.IT.IWORLD.A1.A.2019M2] | 34739 | 30294 | 27374 | 29358 | 31615 | 31783 | 33553 | 34595 | 35012 | 36856 | 37266 | 38689 | 39730 | 41161 | 39364 | 42030 | 41617 | 38080 | 37192 | 41488 | 42121 | 38466 | 40676 | 44171 | 41917 | 43792 | 44378 |
[A.IT.IWORLD.A1_1.A.2016M1] | 14673 | 14409 | 12662 | 12589 | 14283 | 14910 | 14940 | 15233 | 15242 | 15230 | 16765 | 18185 | 18738 | 19321 | 17897 | 19044 | 19432 | 18540 | 19295 | 20833 | 21263 | 19569 | 21213 | 23686 | NA | NA | NA |
[A.IT.IWORLD.A1_1.A.2017M1] | 14673 | 14409 | 12662 | 12589 | 14283 | 14910 | 14940 | 15233 | 15242 | 15230 | 16765 | 18185 | 18738 | 19321 | 17897 | 19044 | 19432 | 18540 | 19295 | 20833 | 21263 | 19569 | 21213 | 23686 | 22371 | NA | NA |
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