Peaches and nectarines — Gross per capita Production Index Number in Malta
Malta: Peaches and nectarines — Gross per capita Production Index Number was 109.38 in 2017. ▼ Falling
Peaches and nectarines — Gross per capita Production Index Number in Malta, 1998–2017
Source: Food and Agriculture Organization of the United Nations.
Analysis
Malta recorded 109.38 for peaches and nectarines — gross per capita production index number in 2017.
That represents a change of up 229.1% on the previous year and down 8.3% over ten years.
Over the whole period, peaches and nectarines — gross per capita production index number in Malta peaked at 380.42 in 2006 and was at its lowest, 33.24, in 2016.
That places Malta 22nd out of 75 countries with data for 2017, putting it in the middle of the range.
The long-run direction has been consistently falling across the 20 years of available data.
Peaches and nectarines — Gross per capita Production Index Number in Malta, year by year
| Year | Value | Change |
|---|---|---|
| 1998 | 125.17 | — |
| 1999 | 103.49 | -17.3% |
| 2000 | 123.25 | +19.1% |
| 2001 | 94.43 | -23.4% |
| 2002 | 164.47 | +74.2% |
| 2003 | 150.32 | -8.6% |
| 2004 | 280.55 | +86.6% |
| 2005 | 174.5 | -37.8% |
| 2006 | 380.42 | +118.0% |
| 2007 | 119.32 | -68.6% |
| 2008 | 250.97 | +110.3% |
| 2009 | 262.18 | +4.5% |
| 2010 | 175.31 | -33.1% |
| 2011 | 311.07 | +77.4% |
| 2012 | 140.56 | -54.8% |
| 2013 | 116.19 | -17.3% |
| 2014 | 125.54 | +8.0% |
| 2015 | 141.22 | +12.5% |
| 2016 | 33.24 | -76.5% |
| 2017 | 109.38 | +229.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 114.33 | 103.49 | 125.17 | 2 |
| 2000s | 200.04 | 94.43 | 380.42 | 10 |
| 2010s | 144.06 | 33.24 | 311.07 | 8 |
Countries ranked near Malta
More agriculture & rural data for Malta
- Agriculture, forestry, and fishing, value added (current US$), annual 6.05 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0047 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 224.75 current US$ per person (2025)
- Rural population, annual growth rate 1.3 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.0432 units per person (2025)
- Share of GDP from agriculture 0.5% (2025)
- Agriculture as a share of GDP vs. GDP per capita 0.5% (2025)
- Agricultural raw materials exports 0.1% (2024)
- Agricultural raw materials imports 0.2% (2024)
Frequently asked questions
- What is peaches and nectarines — gross per capita production index number in Malta?
- Peaches and nectarines — gross per capita production index number in Malta was 109.38 in 2017, according to Food and Agriculture Organization of the United Nations.
- What is the highest peaches and nectarines — gross per capita production index number recorded in Malta?
- The highest recorded value was 380.42 in 2006.
- What is the lowest peaches and nectarines — gross per capita production index number recorded in Malta?
- The lowest recorded value was 33.24 in 2016.
- How does Malta rank for peaches and nectarines — gross per capita production index number?
- Malta ranks 22nd out of 75 countries with data for 2017.
- Is peaches and nectarines — gross per capita production index number rising or falling in Malta?
- Over the last ten years it is down 8.3%. The long-run trend across the full record is falling.
- Where does this Malta data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Peaches and nectarines — Gross per capita Production Index Number (2014-2016 = 100). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 20 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.