Global Silage Market by Region, Value
Value per head of cattle and calves in the U.S. from 2001 to 2019
What is US' value per head in u.s. dollars? As of 2015, it's 1.6K Value per head in U.S. dollars, up from 725 Value per head in U.S. dollars in 2001.
| Label | Value per head in U.S. dollars |
|---|---|
| 2001 | 725 Value per head in U.S. dollars |
| 2002 | 747 Value per head in U.S. dollars |
| 2003 | 728 Value per head in U.S. dollars |
| 2004 | 818 Value per head in U.S. dollars |
| 2005 | 916 Value per head in U.S. dollars |
| 2006 | 1009 Value per head in U.S. dollars |
| 2007 | 922 Value per head in U.S. dollars |
| 2008 | 990 Value per head in U.S. dollars |
| 2009 | 872 Value per head in U.S. dollars |
| 2010 | 832 Value per head in U.S. dollars |
| 2011 | 947 Value per head in U.S. dollars |
| 2012 | 1111 Value per head in U.S. dollars |
| 2013 | 1139 Value per head in U.S. dollars |
| 2014 | 1223 Value per head in U.S. dollars |
| 2015 | 1584 Value per head in U.S. dollars |
Data Source: Wantstats Repository
Value per head of cattle and calves in the U.S. from 2001 to 2019: Key Points
- Measured in 2015, US's value per head of cattle and calves in the U.S. from 2001 to 2019 sits at 1.58K Value per head in U.S. dollars. The series opened at 725.00 Value per head in U.S. dollars in 2001, making the full move a 118% rise.
- 2004-2006: leaps to 1.01K Value per head in U.S. dollars (+39%).
- 2007: down to 922.00 Value per head in U.S. dollars (-9%).
- 2009-2010: erodes to 832.00 Value per head in U.S. dollars (-16%).
- 2011-2015: surges to 1.58K Value per head in U.S. dollars (+90%).
- 2015: Series wraps up at 1.58K Value per head in U.S. dollars, a net 118.5% gain across the whole run.
What The Volatility Really Means
No consistent direction here means no reliable forecast either. Whatever caused the last move up or down, it hasn't been strong enough to hold for long.
That 2015 spike deserves a second look before you cite it. Genuine 30% moves in a single year do happen, but so do reporting changes — the chart alone can't tell you which this is.
This chart answers 'what happened' for US, not 'is that good or bad' — that second question needs a comparison point, either other countries or a longer run of history than what's shown here.
As with almost all cross-national statistical series, this one blends real survey years with modeled estimates for the gaps — the year-to-year precision is lower than the chart's smooth line suggests.
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