[Q.IT.D1AP2_R_P1.A.Y.2015M9] quarterly – Italy – unit variable costs – agriculture, forestry and fishing (A) – seasonally adjusted data – Sep-2015
Updated on DBnomics on January 14, 2023 (12:39 AM)
- min:
- 79.423
- max:
- 109.33
- avg:
- 93.989
- σ:
- 7.968
Period | Value |
1996-Q1 | 91.764 |
1996-Q2 | 92.077 |
1996-Q3 | 87.658 |
1996-Q4 | 91.617 |
1997-Q1 | 89.493 |
1997-Q2 | 90.515 |
1997-Q3 | 89.697 |
1997-Q4 | 87.932 |
1998-Q1 | 87.378 |
1998-Q2 | 83.487 |
1998-Q3 | 82.733 |
1998-Q4 | 87.241 |
1999-Q1 | 82.153 |
1999-Q2 | 80.638 |
1999-Q3 | 79.423 |
1999-Q4 | 79.545 |
2000-Q1 | 79.78 |
2000-Q2 | 79.597 |
2000-Q3 | 80.343 |
2000-Q4 | 84.253 |
2001-Q1 | 83.798 |
2001-Q2 | 86.629 |
2001-Q3 | 85.672 |
2001-Q4 | 85.07 |
2002-Q1 | 88.274 |
2002-Q2 | 87.572 |
2002-Q3 | 91.339 |
2002-Q4 | 92.629 |
2003-Q1 | 92.163 |
2003-Q2 | 93.093 |
2003-Q3 | 94.87 |
2003-Q4 | 92.788 |
2004-Q1 | 88.823 |
2004-Q2 | 88.538 |
2004-Q3 | 88.636 |
2004-Q4 | 86.253 |
2005-Q1 | 91.573 |
2005-Q2 | 91.875 |
2005-Q3 | 89.302 |
2005-Q4 | 89.914 |
2006-Q1 | 92.895 |
2006-Q2 | 94.011 |
2006-Q3 | 95.346 |
2006-Q4 | 94.563 |
2007-Q1 | 94.998 |
2007-Q2 | 97.097 |
2007-Q3 | 98.52 |
2007-Q4 | 98.941 |
2008-Q1 | 98.466 |
2008-Q2 | 96.813 |
2008-Q3 | 99.076 |
2008-Q4 | 98.826 |
2009-Q1 | 99.396 |
2009-Q2 | 98.595 |
2009-Q3 | 98.22 |
2009-Q4 | 98.549 |
2010-Q1 | 96.864 |
2010-Q2 | 100.571 |
2010-Q3 | 101.114 |
2010-Q4 | 101.451 |
2011-Q1 | 101.107 |
2011-Q2 | 101.716 |
2011-Q3 | 101.437 |
2011-Q4 | 100.673 |
2012-Q1 | 103.064 |
2012-Q2 | 104.011 |
2012-Q3 | 103.773 |
2012-Q4 | 105.814 |
2013-Q1 | 104.486 |
2013-Q2 | 104.311 |
2013-Q3 | 105.374 |
2013-Q4 | 104.021 |
2014-Q1 | 103.783 |
2014-Q2 | 106.569 |
2014-Q3 | 106.169 |
2014-Q4 | 109.33 |
2015-Q1 | 106.898 |
2015-Q2 | 108.172 |
Dimension | Dimension value |
[FREQ] Frequency | [Q] quarterly |
[REF_AREA] Territory | [IT] Italy |
[DATA_TYPE_AGGR] Aggregate | [D1AP2_R_P1] unit variable costs |
[BRKDW_INDUSTRY_NACE_REV2] Breakdown by industry (NACE Rev.2) | [A] agriculture, forestry and fishing |
[ADJUSTMENT] Adjustment | [Y] seasonally adjusted data |
[EDITION] Edition | [2015M9] Sep-2015 |