Congo vs Papua New Guinea: Pineapples — Gross Production Index Number
Congo
99.9
in 2024
Papua New Guinea
102.85
in 2024
Congo rank
50th
Papua New Guinea rank
47th
Pineapples — Gross Production Index Number over time
- Congo
- Papua New Guinea
How they compare
Papua New Guinea currently reports 102.85 against 99.9 in Congo, a difference of 2.95.
The two have swapped places 7 times across 64 shared years of data; in 1961 it was Congo ahead.
Congo ranks 50th and Papua New Guinea ranks 47th of 79 countries.
Across the 7 decades both report, Congo averaged higher in 6 and Papua New Guinea in 1.
Head to head by decade
| Decade | Congo | Papua New Guinea | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 124.61 | 24.18 | 100.43 | Congo |
| 1970s | 131.37 | 31.31 | 100.06 | Congo |
| 1980s | 138.85 | 41.78 | 97.07 | Congo |
| 1990s | 99.36 | 54.52 | 44.84 | Congo |
| 2000s | 89.99 | 83.11 | 6.88 | Congo |
| 2010s | 101.53 | 96.81 | 4.73 | Congo |
| 2020s | 100.05 | 101.67 | 1.61 | Papua New Guinea |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher pineapples — gross production index number, Congo or Papua New Guinea?
- Papua New Guinea, at 102.85 against 99.9 in Congo as of 2024.
- What is the difference in pineapples — gross production index number between Congo and Papua New Guinea?
- 2.95, with Papua New Guinea ahead.
- How many years of comparable data are there for Congo and Papua New Guinea?
- 64 years are reported by both, from 1961 to 2024.
- How do Congo and Papua New Guinea rank globally for pineapples — gross production index number?
- Congo ranks 50th and Papua New Guinea ranks 47th of 79 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Pineapples — 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.