Algeria vs Colombia: Watermelons — Gross per capita Production Index Number
Algeria
121.93
in 2024
Colombia
122.26
in 2024
Algeria rank
31st
Colombia rank
30th
Watermelons — Gross per capita Production Index Number over time
- Algeria
- Colombia
How they compare
Colombia currently reports 122.26 against 121.93 in Algeria, a difference of 0.33.
The two have swapped places 9 times across 64 shared years of data; in 1961 it was Algeria ahead.
Algeria ranks 31st and Colombia ranks 30th of 109 countries.
Across the 7 decades both report, Algeria averaged higher in 3 and Colombia in 4.
Head to head by decade
| Decade | Algeria | Colombia | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 26.47 | 2.7 | 23.77 | Algeria |
| 1970s | 25.68 | 5.4 | 20.28 | Algeria |
| 1980s | 26.12 | 15.25 | 10.87 | Algeria |
| 1990s | 34.34 | 40.82 | 6.48 | Colombia |
| 2000s | 47.64 | 62.77 | 15.13 | Colombia |
| 2010s | 96.36 | 96.6 | 0.241 | Colombia |
| 2020s | 114.03 | 132.02 | 18 | Colombia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Algeria or Colombia?
- Colombia, at 122.26 against 121.93 in Algeria as of 2024.
- What is the difference in watermelons — gross per capita production index number between Algeria and Colombia?
- 0.33, with Colombia ahead.
- How many years of comparable data are there for Algeria and Colombia?
- 64 years are reported by both, from 1961 to 2024.
- How do Algeria and Colombia rank globally for watermelons — gross per capita production index number?
- Algeria ranks 31st and Colombia ranks 30th of 109 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Watermelons — Gross per capita Production Index Number (2014-2016 = 100). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
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.