Watermelons — Gross per capita Production Index Number in Canada
Canada: Watermelons — Gross per capita Production Index Number was 130.89 in 2024. ◆ Volatile
Watermelons — Gross per capita Production Index Number in Canada, 1996–2024
Source: Food and Agriculture Organization of the United Nations.
Analysis
The most recent figure for watermelons — gross per capita production index number in Canada is 130.89, measured in 2024. That is the highest value across all 29 years on record.
The figure is up 11.6% on the previous year and up 27.8% over ten years.
Over the whole period, watermelons — gross per capita production index number in Canada peaked at 130.89 in 2024 and was at its lowest, 4.8, in 1998.
That places Canada 24th out of 109 countries with data for 2024, putting it in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Watermelons — Gross per capita Production Index Number in Canada, year by year
| Year | Value | Change |
|---|---|---|
| 1996 | 5.71 | — |
| 1997 | 6.57 | +15.1% |
| 1998 | 4.8 | -26.9% |
| 1999 | 8.01 | +66.9% |
| 2000 | 6.23 | -22.2% |
| 2001 | 6.7 | +7.5% |
| 2002 | 10.7 | +59.7% |
| 2003 | 11.67 | +9.1% |
| 2004 | 16.12 | +38.1% |
| 2005 | 14.7 | -8.8% |
| 2006 | 33.29 | +126.5% |
| 2007 | 35.29 | +6.0% |
| 2008 | 36.64 | +3.8% |
| 2009 | 52.56 | +43.4% |
| 2010 | 73.71 | +40.2% |
| 2011 | 70.39 | -4.5% |
| 2012 | 88.52 | +25.8% |
| 2013 | 87.59 | -1.1% |
| 2014 | 102.41 | +16.9% |
| 2015 | 104.44 | +2.0% |
| 2016 | 93.15 | -10.8% |
| 2017 | 95.89 | +2.9% |
| 2018 | 94.46 | -1.5% |
| 2019 | 106.55 | +12.8% |
| 2020 | 107.45 | +0.8% |
| 2021 | 110.53 | +2.9% |
| 2022 | 110.22 | -0.3% |
| 2023 | 117.29 | +6.4% |
| 2024 | 130.89 | +11.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 6.27 | 4.8 | 8.01 | 4 |
| 2000s | 22.39 | 6.23 | 52.56 | 10 |
| 2010s | 91.71 | 70.39 | 106.55 | 10 |
| 2020s | 115.28 | 107.45 | 130.89 | 5 |
Countries ranked near Canada
More environment data for Canada
- Historical exposure to drought — Land soil moisture anomaly -2.52 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -6.76 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.642 °C (2025)
- Temperature change 2.96 °C (2025)
- Newsprint — Import quantity, gaps filled 7,575 t (2024)
- Newsprint — Import quantity, annual growth rate 17.46 % change on previous year (2024)
- Newsprint — Import value, gaps filled 3,979 1000 USD (2024)
- Newsprint — Import value, annual growth rate 17.44 % change on previous year (2024)
- Printing and writing papers — Import quantity, annual growth rate 12.88 % change on previous year (2024)
Frequently asked questions
- What is watermelons — gross per capita production index number in Canada?
- Watermelons — gross per capita production index number in Canada was 130.89 in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest watermelons — gross per capita production index number recorded in Canada?
- The highest recorded value was 130.89 in 2024.
- What is the lowest watermelons — gross per capita production index number recorded in Canada?
- The lowest recorded value was 4.8 in 1998.
- How does Canada rank for watermelons — gross per capita production index number?
- Canada ranks 24th out of 109 countries with data for 2024.
- Is watermelons — gross per capita production index number rising or falling in Canada?
- Over the last ten years it is up 27.8%. The long-run trend across the full record is volatile.
- Where does this Canada 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 — 29 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.