Key Takeaways
- Thailand produced 9.8 million tonnes of sugarcane in 2022
- Thailand produced 10.6 million tonnes of sugarcane in 2021
- Thailand produced 10.0 million tonnes of sugarcane in 2020
- Thailand imported 0.3 million tonnes of sugar in 2022
- Thailand imported 0.4 million tonnes of sugar in 2021
- Thailand imported 0.5 million tonnes of sugar in 2020
- Thailand per-capita sugar consumption (roughly) was about 34 kg/year
- Thailand per-capita sugar consumption in 2020 was about 30 kg/year
- Thailand per-capita sugar consumption in 2019 was about 31 kg/year
- In Thailand, sugar is the primary feedstock for ethanol blending in Thailand; ethanol blending target set for E10 is 10% ethanol by volume
- Thailand has a mandatory ethanol blend of E10 for gasoline (10% v/v ethanol)
- Thailand’s alternative energy development plan targets increasing ethanol production from sugarcane molasses
- Thailand’s sugar industry is represented by the Thai Sugar Millers Corporation, with government-industry coordination
- Mitr Phol group is one of Thailand’s largest sugar producers and bioenergy operators
- Khon Kaen Sugar Industry Public Company Limited (KSL) operates sugar mills in Khon Kaen and related areas
Thailand’s sugar industry fluctuated, cane yields rose, sugar output fell amid ethanol policy.
Production
Production Interpretation
Trade
Trade Interpretation
Consumption
Consumption Interpretation
Policy & Regulation
Policy & Regulation Interpretation
Company & Industry
Company & Industry Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Marcus Afolabi. (2026, February 13). Thailand Sugar Industry Statistics. Gitnux. https://gitnux.org/thailand-sugar-industry-statistics
Marcus Afolabi. "Thailand Sugar Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/thailand-sugar-industry-statistics.
Marcus Afolabi. 2026. "Thailand Sugar Industry Statistics." Gitnux. https://gitnux.org/thailand-sugar-industry-statistics.
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