Triticale — Gross per capita Production Index Number in Latvia
Latvia: Triticale — Gross per capita Production Index Number was 75.19 in 2017. ◆ Volatile
Triticale — Gross per capita Production Index Number in Latvia, 1992–2017
Source: Food and Agriculture Organization of the United Nations.
Analysis
The most recent figure for triticale — gross per capita production index number in Latvia is 75.19, measured in 2017.
The figure is down 29.9% on the previous year and down 22.3% over ten years.
Over the whole period, triticale — gross per capita production index number in Latvia peaked at 134.74 in 2012 and was at its lowest, 7.77, in 1996.
That places Latvia 25th out of 41 countries with data for 2017, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Triticale — Gross per capita Production Index Number in Latvia, year by year
| Year | Value | Change |
|---|---|---|
| 1992 | 18.48 | — |
| 1993 | 29.8 | +61.3% |
| 1994 | 12.48 | -58.1% |
| 1995 | 11.07 | -11.3% |
| 1996 | 7.77 | -29.8% |
| 1997 | 17.32 | +122.9% |
| 1998 | 29.37 | +69.6% |
| 1999 | 27.96 | -4.8% |
| 2000 | 32.07 | +14.7% |
| 2001 | 69.43 | +116.5% |
| 2002 | 99.41 | +43.2% |
| 2003 | 80.99 | -18.5% |
| 2004 | 104.45 | +29.0% |
| 2005 | 79.76 | -23.6% |
| 2006 | 56.2 | -29.5% |
| 2007 | 96.74 | +72.1% |
| 2008 | 90.8 | -6.1% |
| 2009 | 87.33 | -3.8% |
| 2010 | 70.7 | -19.0% |
| 2011 | 58.36 | -17.5% |
| 2012 | 134.74 | +130.9% |
| 2013 | 102.14 | -24.2% |
| 2014 | 75.78 | -25.8% |
| 2015 | 117.02 | +54.4% |
| 2016 | 107.2 | -8.4% |
| 2017 | 75.19 | -29.9% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 19.28 | 7.77 | 29.8 | 8 |
| 2000s | 79.72 | 32.07 | 104.45 | 10 |
| 2010s | 92.64 | 58.36 | 134.74 | 8 |
Countries ranked near Latvia
More agriculture & rural data for Latvia
- Agriculture, forestry, and fishing, value added (current US$), annual 12.21 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0401 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 1,055 current US$ per person (2025)
- Rural population, annual growth rate -1.45 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.3137 units per person (2025)
- Share of GDP from agriculture 4.0% (2025)
- Agriculture as a share of GDP vs. GDP per capita 4.0% (2025)
- Agricultural raw materials exports 9.8% (2025)
- Agricultural raw materials imports 2.1% (2025)
Frequently asked questions
- What is triticale — gross per capita production index number in Latvia?
- Triticale — gross per capita production index number in Latvia was 75.19 in 2017, according to Food and Agriculture Organization of the United Nations.
- What is the highest triticale — gross per capita production index number recorded in Latvia?
- The highest recorded value was 134.74 in 2012.
- What is the lowest triticale — gross per capita production index number recorded in Latvia?
- The lowest recorded value was 7.77 in 1996.
- How does Latvia rank for triticale — gross per capita production index number?
- Latvia ranks 25th out of 41 countries with data for 2017.
- Is triticale — gross per capita production index number rising or falling in Latvia?
- Over the last ten years it is down 22.3%. The long-run trend across the full record is volatile.
- Where does this Latvia data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Triticale — Gross per capita Production Index Number (2014-2016 = 100). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 26 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
The FAO indices of agricultural production show the relative level of the aggregate volume of agricultural production for each year in comparison with the base period 2014-2016. Indices for meat production are computed based on data on production from indigenous animals.