Watermelons — Gross per capita Production Index Number in Malta
Malta: Watermelons — Gross per capita Production Index Number was 96.94 in 2017. ▼ Falling
Watermelons — Gross per capita Production Index Number in Malta, 1998–2017
Source: Food and Agriculture Organization of the United Nations.
Analysis
The most recent figure for watermelons — gross per capita production index number in Malta is 96.94, measured in 2017.
The figure is up 9.8% on the previous year and down 33.4% over ten years.
Over the whole period, watermelons — gross per capita production index number in Malta peaked at 166.28 in 2004 and was at its lowest, 88.32, in 2016.
Malta ranks 61st of 109 countries on this measure, in the middle of the range.
The long-run direction has been consistently falling across the 20 years of available data.
Watermelons — Gross per capita Production Index Number in Malta, year by year
| Year | Value | Change |
|---|---|---|
| 1998 | 119.72 | — |
| 1999 | 123.07 | +2.8% |
| 2000 | 123.09 | +0.0% |
| 2001 | 119.8 | -2.7% |
| 2002 | 123.19 | +2.8% |
| 2003 | 164.8 | +33.8% |
| 2004 | 166.28 | +0.9% |
| 2005 | 152.9 | -8.0% |
| 2006 | 152.39 | -0.3% |
| 2007 | 145.56 | -4.5% |
| 2008 | 149.69 | +2.8% |
| 2009 | 119.12 | -20.4% |
| 2010 | 97.92 | -17.8% |
| 2011 | 107.18 | +9.5% |
| 2012 | 114.6 | +6.9% |
| 2013 | 101.88 | -11.1% |
| 2014 | 107.57 | +5.6% |
| 2015 | 104.11 | -3.2% |
| 2016 | 88.32 | -15.2% |
| 2017 | 96.94 | +9.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 121.39 | 119.72 | 123.07 | 2 |
| 2000s | 141.68 | 119.12 | 166.28 | 10 |
| 2010s | 102.31 | 88.32 | 114.6 | 8 |
Countries ranked near Malta
- 58 Uruguay 99.64 compare
- 59 Tonga 99.12 compare
- 60 New Caledonia 98.44 compare
- 62 French Polynesia 95.36 compare
- 63 Tajikistan 94.71 compare
- 64 Argentina 94.32 compare
More environment data for Malta
- Historical exposure to drought — Land soil moisture anomaly -1.15 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -1.15 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.365 °C (2025)
- Temperature change 2.16 °C (2025)
- Newsprint — Import quantity, gaps filled 286 t (2024)
- Newsprint — Import quantity, annual growth rate 11.72 % change on previous year (2024)
- Newsprint — Import value, gaps filled 155 1000 USD (2024)
- Newsprint — Import value, annual growth rate -60.26 % change on previous year (2024)
- Printing and writing papers — Import quantity, annual growth rate 13.08 % change on previous year (2024)
Frequently asked questions
- What is watermelons — gross per capita production index number in Malta?
- Watermelons — gross per capita production index number in Malta was 96.94 in 2017, according to Food and Agriculture Organization of the United Nations.
- What is the highest watermelons — gross per capita production index number recorded in Malta?
- The highest recorded value was 166.28 in 2004.
- What is the lowest watermelons — gross per capita production index number recorded in Malta?
- The lowest recorded value was 88.32 in 2016.
- How does Malta rank for watermelons — gross per capita production index number?
- Malta ranks 61st out of 109 countries with data for 2017.
- Is watermelons — gross per capita production index number rising or falling in Malta?
- Over the last ten years it is down 33.4%. 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 Watermelons — 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.