Key Takeaways
- World per capita rice consumption averaged 79 kg/year in 2022, highest in Asia 150kg
- Bangladesh consumers ate 182 kg rice per capita annually in 2022, 50% calories from rice
- China's rice consumption reached 149 million tons in 2022, down 1% from urbanization
- Global rice trade value reached $38.7 billion in 2022, led by India exporting 22 million tons
- Rice accounted for 20% of global cereal trade volume in 2022 at 53.2 million tons
- China's rice imports hit 5.3 million tons in 2022, valued at $3.2 billion for premium varieties
- Uncooked white rice contains 7.13 grams of protein per 100 grams, providing essential amino acids like glutamic acid at 1.55g
- Brown rice has 77.2 grams of carbohydrates per 100g uncooked, including 3.5g fiber aiding digestion
- 100g cooked white rice delivers 28.2g carbs, 2.69g protein, and 0.28g fat, with 130 kcal energy
- Global rice production in 2022 was 776.5 million metric tons, with Asia accounting for 90.4% of the total
- India produced 135.2 million metric tons of rice in 2022, making it the second-largest producer worldwide
- China's rice paddy production reached 212.2 million metric tons in 2022, supported by 29.9 million hectares of harvested area
- There are over 40,000 rice varieties cultivated worldwide, with Oryza sativa dominant
- Indica rice subspecies covers 80% of global area, long slender grains for export
- Japonica rice preferred in temperate zones, 15% global, sticky short grains
In 2022, global rice demand stayed tight and costly while consumption and trade hit record levels worldwide.
Related reading
Consumption and Trade
Consumption and Trade Interpretation
More related reading
Economic Aspects
Economic Aspects Interpretation
Nutritional Composition
Nutritional Composition Interpretation
More related reading
Production and Cultivation
Production and Cultivation Interpretation
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Varieties and Genetics
Varieties and Genetics 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.
Nathan Caldwell. (2026, February 13). Rice Statistics. Gitnux. https://gitnux.org/rice-statistics
Nathan Caldwell. "Rice Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/rice-statistics.
Nathan Caldwell. 2026. "Rice Statistics." Gitnux. https://gitnux.org/rice-statistics.
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