Colombia vs Melanesia: Natural rubber in primary forms — Gross Production Index Number
Colombia
133.82
in 2024
Melanesia
86.15
in 2024
Colombia rank
7th
Melanesia rank
7th
Natural rubber in primary forms — Gross Production Index Number over time
- Colombia
- Melanesia
How they compare
Colombia currently reports 133.82 against 86.15 in Melanesia, a difference of 47.67.
That makes Colombia's figure about 1.6 times Melanesia's.
The two have swapped places 3 times across 24 shared years of data; in 1961 it was Melanesia ahead.
Colombia ranks 7th and Melanesia ranks 7th of 27 countries.
Across the 4 decades both report, Colombia averaged higher in 1 and Melanesia in 3.
Head to head by decade
| Decade | Colombia | Melanesia | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 4.76 | 81.28 | 76.52 | Melanesia |
| 1970s | 7 | 86.14 | 79.14 | Melanesia |
| 2010s | 95.84 | 96.92 | 1.08 | Melanesia |
| 2020s | 153.14 | 84.93 | 68.21 | Colombia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher natural rubber in primary forms — gross production index number, Colombia or Melanesia?
- Colombia, at 133.82 against 86.15 in Melanesia as of 2024.
- What is the difference in natural rubber in primary forms — gross production index number between Colombia and Melanesia?
- 47.67, with Colombia ahead.
- How many years of comparable data are there for Colombia and Melanesia?
- 24 years are reported by both, from 1961 to 2024.
- How do Colombia and Melanesia rank globally for natural rubber in primary forms — gross production index number?
- Colombia ranks 7th and Melanesia ranks 7th of 27 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Natural rubber in primary forms — Gross 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.