China, mainland vs Timor-Leste: Papayas — Gross Production Index Number
China, mainland
147.42
in 2024
Timor-Leste
100.76
in 2024
China, mainland rank
10th
Timor-Leste rank
8th
Papayas — Gross Production Index Number over time
- China, mainland
- Timor-Leste
How they compare
China, mainland currently reports 147.42 against 100.76 in Timor-Leste, a difference of 46.66.
That makes China, mainland's figure about 1.5 times Timor-Leste's.
The two have swapped places 3 times across 32 shared years of data; in 1993 it was Timor-Leste ahead.
China, mainland ranks 10th and Timor-Leste ranks 8th of 60 countries.
Across the 4 decades both report, China, mainland averaged higher in 1 and Timor-Leste in 3.
Head to head by decade
| Decade | China, mainland | Timor-Leste | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 16.38 | 92.05 | 75.68 | Timor-Leste |
| 2000s | 47.54 | 54.35 | 6.8 | Timor-Leste |
| 2010s | 98.15 | 100.33 | 2.19 | Timor-Leste |
| 2020s | 138.93 | 100.86 | 38.07 | China, mainland |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher papayas — gross production index number, China, mainland or Timor-Leste?
- China, mainland, at 147.42 against 100.76 in Timor-Leste as of 2024.
- What is the difference in papayas — gross production index number between China, mainland and Timor-Leste?
- 46.66, with China, mainland ahead.
- How many years of comparable data are there for China, mainland and Timor-Leste?
- 32 years are reported by both, from 1993 to 2024.
- How do China, mainland and Timor-Leste rank globally for papayas — gross production index number?
- China, mainland ranks 10th and Timor-Leste ranks 8th of 60 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Papayas — 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.