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Rice (Thailand, 5%): monthly price

Monthly average reference price according to the World Bank, in USD per metric tonne.
Source
World Bank (Pink Sheet) · CC BY 4.0
Latest month published
September 2026
Frequency
Monthly (monthly averages); not real time
Next scheduled release
3 November 2026 (second working day of the month)

Initial snapshot data

World Bank edition of 2 October 2026. Monthly averages transcribed from the Pink Sheet PDF editions (Oct. 2025 to Oct. 2026) by the Commodity Pulse project (MIT code). Spot-checked against the official June 2026 edition (Brent, copper, gold and wheat for May 2026: they match). The connector replaces them with the full official workbook (from 1960). As soon as the connector downloads the official workbook you'll see the full published history.
Latest month
482.00
USD per metric tonne, September 2026
Monthly change
+2.3%
Year-on-year change
+28.9%
12-month range
356.00 – 494.00
Volatility (36 months)
23%
Annualised, historical; with 14 months of data
Maximum drawdown (5 years)
-10.1%
From December 2025 to March 2026; with 15 months of data

Price chart

Rice (Thailand, 5%)

World Bank · Pink Sheet · USD per metric tonne · monthly average

482.00USD per metric tonne+11.00 (+2.34%)

September 2026 · vs August 2026 · 12 months: +28.88%

Period high
494.00
Period low
356.00
12-month high
494.00
12-month low
356.00
Compare
Rice (Thailand, 5%)Average 3473.33Average 12425.25
SignalsUpward trend over the last 6 periodsDrag or use the wheel to zoom. Descriptive signals: they are not a forecast.

Source: World Bank, Commodity Price Data (The Pink Sheet). CC BY 4.0 licence. Derived calculations (changes, volatility, conversions) by Nemorgi; the World Bank doesn't endorse this service.

How to read this data

  • Each point is the monthly average published by the World Bank, in nominal dollars (not adjusted for inflation).
  • Volatility is the standard deviation of monthly returns over the last 36 months, annualised (× √12). It needs at least 12 consecutive months.
  • Maximum drawdown measures the largest fall from a previous peak over the last 5 years.
  • These are historical, descriptive metrics: they don't predict the future price. See the methodology.

Source: World Bank, Commodity Price Data (The Pink Sheet). CC BY 4.0 licence. Derived calculations (changes, volatility, conversions) by Nemorgi; the World Bank doesn't endorse this service.