Lebanon vs Thailand: Watermelons — Gross per capita Production Index Number
Lebanon
105.8
in 2024
Thailand
102.6
in 2024
Lebanon rank
51st
Thailand rank
53rd
Watermelons — Gross per capita Production Index Number over time
- Lebanon
- Thailand
How they compare
Lebanon currently reports 105.8 against 102.6 in Thailand, a difference of 3.2.
The two have swapped places 5 times across 64 shared years of data; in 1961 it was Thailand ahead.
Lebanon ranks 51st and Thailand ranks 53rd of 109 countries.
Across the 7 decades both report, Lebanon averaged higher in 1 and Thailand in 6.
Head to head by decade
| Decade | Lebanon | Thailand | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 103.55 | 369.52 | 265.98 | Thailand |
| 1970s | 100.57 | 528.09 | 427.53 | Thailand |
| 1980s | 102.88 | 447.23 | 344.35 | Thailand |
| 1990s | 222.9 | 287.52 | 64.62 | Thailand |
| 2000s | 137.99 | 375.49 | 237.5 | Thailand |
| 2010s | 115.92 | 141.85 | 25.93 | Thailand |
| 2020s | 108.32 | 99.87 | 8.45 | Lebanon |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Lebanon or Thailand?
- Lebanon, at 105.8 against 102.6 in Thailand as of 2024.
- What is the difference in watermelons — gross per capita production index number between Lebanon and Thailand?
- 3.2, with Lebanon ahead.
- How many years of comparable data are there for Lebanon and Thailand?
- 64 years are reported by both, from 1961 to 2024.
- How do Lebanon and Thailand rank globally for watermelons — gross per capita production index number?
- Lebanon ranks 51st and Thailand ranks 53rd 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.