[Q.IT.D1AP2_R_P1.A.Y.2016M3] quarterly – Italy – unit variable costs – agriculture, forestry and fishing (A) – seasonally adjusted data – Mar-2016
Updated on DBnomics on January 14, 2023 (12:39 AM)
- min:
- 79.345
- max:
- 108.758
- avg:
- 94.213
- σ:
- 7.92
Period | Value |
1996-Q1 | 91.695 |
1996-Q2 | 92.085 |
1996-Q3 | 87.561 |
1996-Q4 | 91.902 |
1997-Q1 | 89.762 |
1997-Q2 | 90.272 |
1997-Q3 | 89.77 |
1997-Q4 | 87.933 |
1998-Q1 | 87.459 |
1998-Q2 | 83.324 |
1998-Q3 | 82.749 |
1998-Q4 | 87.377 |
1999-Q1 | 82.198 |
1999-Q2 | 80.731 |
1999-Q3 | 79.552 |
1999-Q4 | 79.345 |
2000-Q1 | 79.606 |
2000-Q2 | 79.73 |
2000-Q3 | 80.344 |
2000-Q4 | 84.475 |
2001-Q1 | 83.668 |
2001-Q2 | 86.599 |
2001-Q3 | 85.867 |
2001-Q4 | 85.079 |
2002-Q1 | 88.307 |
2002-Q2 | 87.583 |
2002-Q3 | 91.44 |
2002-Q4 | 92.488 |
2003-Q1 | 92.109 |
2003-Q2 | 92.975 |
2003-Q3 | 95.218 |
2003-Q4 | 92.891 |
2004-Q1 | 88.853 |
2004-Q2 | 88.586 |
2004-Q3 | 88.672 |
2004-Q4 | 86.41 |
2005-Q1 | 91.88 |
2005-Q2 | 92.049 |
2005-Q3 | 89.175 |
2005-Q4 | 89.925 |
2006-Q1 | 93.09 |
2006-Q2 | 94.338 |
2006-Q3 | 95.255 |
2006-Q4 | 94.512 |
2007-Q1 | 94.924 |
2007-Q2 | 96.964 |
2007-Q3 | 98.709 |
2007-Q4 | 99.229 |
2008-Q1 | 98.623 |
2008-Q2 | 96.859 |
2008-Q3 | 99.07 |
2008-Q4 | 99.037 |
2009-Q1 | 99.566 |
2009-Q2 | 98.625 |
2009-Q3 | 98.025 |
2009-Q4 | 98.594 |
2010-Q1 | 96.885 |
2010-Q2 | 100.404 |
2010-Q3 | 100.913 |
2010-Q4 | 101.798 |
2011-Q1 | 100.867 |
2011-Q2 | 101.781 |
2011-Q3 | 101.746 |
2011-Q4 | 100.868 |
2012-Q1 | 103.195 |
2012-Q2 | 104.068 |
2012-Q3 | 104.416 |
2012-Q4 | 106.441 |
2013-Q1 | 104.09 |
2013-Q2 | 103.721 |
2013-Q3 | 105.3 |
2013-Q4 | 104.637 |
2014-Q1 | 104.259 |
2014-Q2 | 105.848 |
2014-Q3 | 104.855 |
2014-Q4 | 108.758 |
2015-Q1 | 105.367 |
2015-Q2 | 105.201 |
2015-Q3 | 104.476 |
2015-Q4 | 104.114 |
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 | [2016M3] Mar-2016 |