Congo vs India: Natural rubber in primary forms — Gross Production Index Number
Congo
102
in 2024
India
92.69
in 2024
Congo rank
19th
India rank
21st
Natural rubber in primary forms — Gross Production Index Number over time
- Congo
- India
How they compare
Congo currently reports 102 against 92.69 in India, a difference of 9.31.
That makes Congo's figure about 1.1 times India's.
The two have swapped places 8 times across 64 shared years of data; in 1961 it was Congo ahead.
Congo ranks 19th and India ranks 21st of 27 countries.
Across the 7 decades both report, Congo averaged higher in 6 and India in 1.
Head to head by decade
| Decade | Congo | India | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 8.41 | 5.33 | 3.08 | Congo |
| 1970s | 37.94 | 12.92 | 25.02 | Congo |
| 1980s | 81.82 | 20.07 | 61.75 | Congo |
| 1990s | 63.15 | 47.73 | 15.42 | Congo |
| 2000s | 67.05 | 79.88 | 12.83 | India |
| 2010s | 95.26 | 88.59 | 6.67 | Congo |
| 2020s | 100.28 | 84.69 | 15.59 | Congo |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher natural rubber in primary forms — gross production index number, Congo or India?
- Congo, at 102 against 92.69 in India as of 2024.
- What is the difference in natural rubber in primary forms — gross production index number between Congo and India?
- 9.31, with Congo ahead.
- How many years of comparable data are there for Congo and India?
- 64 years are reported by both, from 1961 to 2024.
- How do Congo and India rank globally for natural rubber in primary forms — gross production index number?
- Congo ranks 19th and India ranks 21st 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.