United States · $/lb

US Cotton Price

United States · $/lb · annual average, 2005-2025 · forecast to 2030

Now (2026-05)
0.74 $/lb
Avg 2025
0.62
Change 2005-2025
+45%
CAGR
1.9%
High (2022)
0.94
Latest price0.74$/lbMONTHLYas of 2026-05 · updated 06 Jul 2026, 17:32 IST
HistoryWorld Bank forecastClaight forecastLatest (2026-05)
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Periodto

US cotton prices demonstrated substantial growth from 2005 to 2025, rising from 0.43 $/lb to 0.62 $/lb, which represents a total increase of 0.19 $/lb or 45.2% over the twenty-year period. This upward trajectory translates to a compound annual growth rate of 1.9%. The market experienced notable volatility throughout the observed timeframe, with prices fluctuating between a low of 0.43 $/lb in 2005 and a peak of 0.94 $/lb in 2022. The most significant single movement occurred between 2009 and 2010, when prices surged 44.3% from 0.49 $/lb to 0.71 $/lb. This dramatic increase highlights the commodity's susceptibility to rapid price shifts during certain periods.

What This Tracks

The US Cotton Price represents the per-pound price of upland cotton, the dominant variety grown in the US, quoted in US dollars per pound. It typically tracks benchmark futures contracts on the Intercontinental Exchange (ICE), where cotton No. 2 futures settle daily based on global supply and demand. Cash market prices for physical bales delivered to merchants and gins also feed into widely cited indicators such as the Adjusted World Price used in USDA farm programs.

  • Quoted in US dollars per pound, with one 480-pound bale equating to roughly 480 times the per-pound price.
  • ICE No. 2 cotton futures serve as the primary global benchmark, with active contracts typically running 12-18 months forward.
  • The USDA's Adjusted World Price (AWP) is derived from these futures and influences loan deficiency payments and marketing assistance for US growers.

What Drives It

Cotton prices respond to a combination of agronomic, economic, and trade factors. Weather patterns in the US Cotton Belt and competing producers like India, China, and Brazil can sharply alter harvest expectations, while planted acreage decisions reflect farmers' views of expected returns relative to corn, soybeans, and other crops. Macroeconomic forces including the US dollar's strength, oil prices (which affect synthetic substitutes like polyester), and consumer demand for textiles round out the main drivers.

  • Planting decisions respond to relative prices of cotton versus competing crops such as corn, soybeans, and peanuts.
  • Weather events including drought, hurricanes along the Gulf Coast, and monsoon variability in Asia can move prices quickly.
  • Polyester prices, tied to crude oil and petrochemical feedstock costs, influence demand substitution and thus cotton's price level.

Recent Trends

Cotton prices spent much of the 2020s in a relatively tight band between roughly $0.70 and $0.90 per pound after the extreme highs near $2.00 seen during the 2010-2011 commodity boom. The COVID-19 pandemic caused a sharp drop in 2020 as textile mill demand collapsed, followed by a multi-year recovery as apparel consumption rebounded. More recently, prices have been pressured lower by softer global textile demand, large harvests, and competitive pressure from abundant synthetic fiber supplies.

  • Mid-2020s prices have generally traded in the $0.70-$0.85 per pound range, below the long-run average.
  • Weaker consumer demand for apparel in major markets and inventory destocking by mills have weighed on prices.
  • Improved global harvests in recent seasons have rebuilt stocks and limited upward price pressure.

Supply and Demand

Global cotton production is dominated by a handful of large producers, with India, China, the United States, Brazil, and Pakistan together accounting for the majority of output. On the demand side, China remains the largest consumer of raw cotton, followed by India, Pakistan, Bangladesh, Vietnam, and Turkey, where spinning mills supply the global apparel and home textile industries. Ending stocks held by China and other major players play a particularly important role in price formation.

  • World ending stocks as a share of consumption, often called the stocks-to-use ratio, is a key indicator of price pressure.
  • Mill use, particularly in Asian textile hubs, is the single largest demand channel for raw cotton.
  • Trade flows including US exports to Asia and China's import policy decisions strongly affect the US domestic price.

Outlook

Looking ahead, US cotton prices near $0.74 per pound reflect a market balancing adequate supplies against modest demand growth and competitive synthetic fiber pricing. Upside risks include adverse weather reducing harvests in major producers, a stronger rebound in global apparel consumption, or supply disruptions from geopolitical events affecting major exporters. Downside risks include continued demand softness, large global harvests, and further substitution toward polyester and other man-made fibers.

  • Long-run prices are likely to remain sensitive to Chinese mill demand and Chinese reserve and import policies.
  • Sustainability initiatives and consumer preference for natural fibers could provide incremental demand support.
  • Volatility is expected around key USDA reports on planting intentions, crop conditions, and quarterly stocks, which often trigger sharp short-term price moves.
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Price outlook to 2030

Claight forecast CLAIGHT VIEW

2025: 0.62 · 2026: 0.64 · 2027: 0.65 · 2028: 0.66 · 2029: 0.67 · 2030: 0.67 $/lb

The Claight forecast extends us cotton price toward its 10-year average of 0.697 $/lb using partial mean reversion (22% per year). Farm prices are driven by acreage, yields, weather, feed costs and export demand; this is a baseline, not a point call.

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Data table

Year$/lb
20050.43
20060.47
20070.50
20080.61
20090.49
20100.71
20110.88
20120.80
20130.77
20140.75
20150.62
20160.65
20170.68
20180.71
20190.65
20200.59
20210.76
20220.94
20230.81
20240.73
20250.62

Source: USDA National Agricultural Statistics Service, QuickStats, accessed 2026-07-04. Licence: Public domain (U.S. government work). Claight analysis based on this data.