Commodity Agricultural Raw Materials Index Monthly Price - Index Number

Data as of March 2026

Range
Sep 2003 - Mar 2026: 29.713 (52.58%)
Chart

Description: Commodity Agricultural Raw Materials Index, 2005 = 100, includes Timber, Cotton, Wool, Rubber, and Hides Price Indices

Unit: Index Number

Source: International Monetary Fund

See also: Agricultural production statistics

See also: Top commodity suppliers

See also: Commodities glossary - Definitions of terms used in commodity trading

Overview

The Commodity Agricultural Raw Materials Index is a composite benchmark that tracks the price performance of a basket of agricultural raw materials used in industrial processing and manufacturing. It is typically quoted as an index number rather than in physical units, because it aggregates multiple underlying commodities into a single reference series. Such indices are used to summarize broad price movements across materials such as natural rubber, cotton, wool, hides, and other farm-derived industrial inputs, depending on the index provider’s methodology. The benchmark is most useful for comparing relative price changes over time rather than for direct physical trading.

Agricultural raw materials occupy a distinct place in commodity markets because they sit between farm production and industrial demand. Their prices reflect both agricultural supply conditions and downstream manufacturing needs. They are commonly used in textiles, footwear, tires, paper, leather goods, insulation, and other processed products. Because the index combines several related inputs, it helps analysts observe broad shifts in the cost of natural materials that compete with synthetic or mineral-based substitutes.

Supply Drivers

Supply in agricultural raw materials is shaped by biological production cycles, weather exposure, and the geographic concentration of suitable growing or grazing conditions. Cotton depends on warm climates and adequate moisture during key growing stages, while natural rubber requires tropical conditions and long-lived tree plantations. Wool supply is tied to sheep populations and pasture quality, and hides are linked to livestock slaughter flows. These production systems respond differently to drought, flooding, pests, disease, and seasonal variability, but all are constrained by land, climate, and biological growth cycles.

Many agricultural raw materials have long production lags. Tree crops such as rubber take years to mature, and herd expansion for fiber or hide production cannot be adjusted quickly. This makes supply relatively inelastic in the short run. Infrastructure also matters: transport from rural producing regions to ports and processing centers can create bottlenecks, especially where roads, storage, or export logistics are limited. Because these materials are often bulky or perishable in raw form, local processing capacity and shipping access influence realized supply.

Production is also shaped by substitution among land uses. Farmers may shift acreage between food crops and industrial crops when relative returns change, but such shifts are limited by agronomic suitability and rotation requirements. As a result, supply tends to respond gradually, with weather, disease, and plantation or herd cycles often dominating short-term availability.

Demand Drivers

Demand for agricultural raw materials is driven primarily by industrial manufacturing rather than direct household consumption. Cotton is used in apparel, home textiles, and industrial fabrics; natural rubber is essential in tires, hoses, belts, and other elastomer products; wool is used in textiles and insulation; and hides support leather goods. Because these materials are intermediate inputs, demand depends on broader manufacturing activity, consumer spending on finished goods, and construction and transport sectors that use rubber and fiber products.

Substitution is an important structural feature. Synthetic fibers compete with cotton and wool in textiles, while synthetic rubber competes with natural rubber in many industrial uses. Leather competes with synthetic alternatives in footwear and upholstery. The relative price of natural versus synthetic inputs therefore influences demand over long periods, especially where performance, durability, or environmental preferences affect material choice. In some uses, natural materials retain advantages in breathability, elasticity, or tactile properties, which supports baseline demand even when substitutes are available.

Seasonality also matters. Textile and apparel supply chains often build inventories ahead of retail cycles, while tire demand is linked to vehicle production, replacement demand, and freight activity. Income growth in emerging economies tends to support consumption of finished goods that use these raw materials, but demand is still mediated through industrial processing rather than direct commodity consumption. Regulatory and technology changes, such as recycling, material efficiency, and synthetic substitution, shape long-run demand patterns.

Macro and Financial Drivers

As a composite index, agricultural raw materials are influenced by broad macroeconomic conditions that affect industrial activity and trade. A stronger U.S. dollar often weighs on dollar-denominated commodity prices by making them more expensive in other currencies, while a weaker dollar can support prices through the opposite channel. Interest rates matter because many commodity users and merchants finance inventories; higher financing costs can reduce stockholding and alter the shape of forward curves.

Storage and carry costs are relevant for index components that can be warehoused, especially fibers and rubber. When inventories are ample, futures markets may exhibit contango; when nearby supply is tight, backwardation can emerge. These structures affect hedging costs and the incentives to hold physical material. Because the index reflects industrial raw materials, it tends to be linked more closely to manufacturing cycles and global trade conditions than to purely financial assets, though it can still be affected by broad risk sentiment and inflation expectations.

MonthPriceChange
Sep 200356.50-
Oct 200359.004.41%
Nov 200359.280.48%
Dec 200358.49-1.34%
Jan 200459.050.96%
Feb 200459.741.16%
Mar 200459.67-0.11%
Apr 200459.710.06%
May 200460.922.04%
Jun 200461.020.16%
Jul 200459.73-2.11%
Aug 200459.06-1.13%
Sep 200459.230.29%
Oct 200459.310.14%
Nov 200459.22-0.15%
Dec 200458.38-1.42%
Jan 200560.042.83%
Feb 200560.741.16%
Mar 200562.272.53%
Apr 200562.22-0.09%
May 200563.401.90%
Jun 200563.900.79%
Jul 200565.462.45%
Aug 200565.24-0.34%
Sep 200566.521.97%
Oct 200566.720.31%
Nov 200566.65-0.10%
Dec 200567.621.45%
Jan 200670.684.53%
Feb 200671.941.78%
Mar 200671.68-0.36%
Apr 200672.471.10%
May 200676.645.75%
Jun 200677.621.28%
Jul 200676.55-1.39%
Aug 200676.550.01%
Sep 200674.59-2.56%
Oct 200674.29-0.40%
Nov 200674.29-0.01%
Dec 200676.452.92%
Jan 200778.262.36%
Feb 200779.591.70%
Mar 200779.850.33%
Apr 200781.101.56%
May 200781.05-0.07%
Jun 200780.71-0.41%
Jul 200781.571.06%
Aug 200781.34-0.28%
Sep 200782.110.94%
Oct 200782.700.73%
Nov 200783.921.48%
Dec 200783.12-0.96%
Jan 200886.103.58%
Feb 200889.283.70%
Mar 200893.164.34%
Apr 200893.900.79%
May 200894.570.72%
Jun 200895.741.24%
Jul 200896.020.30%
Aug 200891.95-4.24%
Sep 200891.93-0.02%
Oct 200884.76-7.79%
Nov 200883.10-1.96%
Dec 200879.70-4.09%
Jan 200980.671.22%
Feb 200980.22-0.56%
Mar 200978.98-1.55%
Apr 200980.491.91%
May 200983.844.17%
Jun 200981.43-2.87%
Jul 200979.58-2.28%
Aug 200981.772.74%
Sep 200983.401.99%
Oct 200985.732.79%
Nov 200988.333.04%
Dec 200989.000.75%
Jan 201090.501.69%
Feb 201090.01-0.55%
Mar 201091.691.87%
Apr 201096.875.65%
May 201096.69-0.19%
Jun 201097.220.55%
Jul 201096.59-0.64%
Aug 201099.282.78%
Sep 2010102.162.90%
Oct 2010107.465.18%
Nov 2010113.966.05%
Dec 2010117.583.17%
Jan 2011124.475.87%
Feb 2011134.237.84%
Mar 2011131.99-1.66%
Apr 2011134.561.94%
May 2011125.99-6.37%
Jun 2011124.37-1.28%
Jul 2011121.19-2.56%
Aug 2011121.320.10%
Sep 2011120.10-1.01%
Oct 2011115.69-3.67%
Nov 2011106.32-8.10%
Dec 2011104.24-1.96%
Jan 2012105.721.43%
Feb 2012107.852.01%
Mar 2012106.46-1.28%
Apr 2012106.26-0.20%
May 2012104.60-1.56%
Jun 201298.81-5.53%
Jul 201297.55-1.28%
Aug 201295.74-1.85%
Sep 201298.142.50%
Oct 201298.640.51%
Nov 201297.21-1.45%
Dec 201299.101.94%
Jan 201399.460.36%
Feb 201397.21-2.26%
Mar 201395.19-2.08%
Apr 201394.44-0.78%
May 201395.000.58%
Jun 201395.140.15%
Jul 201392.92-2.34%
Aug 201394.161.34%
Sep 201395.181.08%
Oct 201395.390.23%
Nov 201395.25-0.16%
Dec 201395.590.36%
Jan 201495.17-0.44%
Feb 201495.260.10%
Mar 201496.551.36%
Apr 201495.76-0.82%
May 201495.23-0.56%
Jun 201494.87-0.37%
Jul 201494.29-0.61%
Aug 201490.98-3.51%
Sep 201488.26-2.99%
Oct 201487.03-1.39%
Nov 201485.10-2.22%
Dec 201484.37-0.85%
Jan 201583.46-1.09%
Feb 201585.021.87%
Mar 201583.64-1.62%
Apr 201583.680.05%
May 201586.012.78%
Jun 201585.64-0.42%
Jul 201584.36-1.50%
Aug 201583.38-1.16%
Sep 201581.90-1.77%
Oct 201581.69-0.25%
Nov 201580.46-1.51%
Dec 201580.20-0.32%
Jan 201678.42-2.22%
Feb 201678.25-0.23%
Mar 201678.880.81%
Apr 201681.583.41%
May 201682.090.62%
Jun 201681.67-0.51%
Jul 201680.61-1.29%
Aug 201680.53-0.10%
Sep 201680.670.17%
Oct 201678.85-2.26%
Nov 201679.851.27%
Dec 201681.582.17%
Jan 201783.612.49%
Feb 201785.362.10%
Mar 201782.99-2.78%
Apr 201782.74-0.30%
May 201782.35-0.48%
Jun 201779.17-3.86%
Jul 201779.590.54%
Aug 201779.600.01%
Sep 201780.501.13%
Oct 201778.74-2.19%
Nov 201778.820.11%
Dec 201780.452.07%
Jan 201882.792.90%
Feb 201883.190.49%
Mar 201884.341.38%
Apr 201884.610.33%
May 201883.08-1.82%
Jun 201882.17-1.09%
Jul 201880.94-1.50%
Aug 201880.26-0.84%
Sep 201879.93-0.41%
Oct 201879.13-1.00%
Nov 201878.28-1.07%
Dec 201878.330.05%
Jan 201979.741.80%
Feb 201979.61-0.16%
Mar 201980.551.18%
Apr 201980.31-0.30%
May 201979.41-1.12%
Jun 201979.720.39%
Jul 201977.15-3.22%
Aug 201974.87-2.95%
Sep 201976.341.96%
Oct 201976.890.72%
Nov 201978.171.67%
Dec 201979.421.60%
Jan 202079.740.41%
Feb 202077.66-2.61%
Mar 202074.60-3.95%
Apr 202072.98-2.16%
May 202073.220.32%
Jun 202074.371.58%
Jul 202075.371.34%
Aug 202078.073.58%
Sep 202078.350.36%
Oct 202080.923.28%
Nov 202082.592.06%
Dec 202083.721.37%
Jan 202184.651.11%
Feb 202186.041.64%
Mar 202185.74-0.35%
Apr 202184.30-1.68%
May 202185.611.55%
Jun 202184.67-1.09%
Jul 202182.68-2.35%
Aug 202183.000.38%
Sep 202182.75-0.30%
Oct 202184.892.59%
Nov 202185.530.75%
Dec 202184.24-1.51%
Jan 202286.182.30%
Feb 202287.010.97%
Mar 202285.88-1.31%
Apr 202286.010.16%
May 202284.97-1.21%
Jun 202283.07-2.23%
Jul 202279.04-4.85%
Aug 202278.05-1.26%
Sep 202273.47-5.86%
Oct 202271.39-2.83%
Nov 202272.922.15%
Dec 202275.253.19%
Jan 202376.261.35%
Feb 202375.66-0.79%
Mar 202375.06-0.78%
Apr 202376.071.34%
May 202376.380.40%
Jun 202376.970.77%
Jul 202377.720.97%
Aug 202377.910.26%
Sep 202378.460.70%
Oct 202377.82-0.82%
Nov 202378.050.30%
Dec 202378.841.01%
Jan 202479.711.11%
Feb 202480.390.85%
Mar 202481.421.29%
Apr 202479.72-2.09%
May 202479.740.02%
Jun 202480.270.66%
Jul 202480.580.39%
Aug 202481.751.45%
Sep 202484.343.16%
Oct 202484.640.36%
Nov 202483.40-1.47%
Dec 202483.730.40%
Jan 202582.42-1.56%
Feb 202584.292.27%
Mar 202585.471.40%
Apr 202584.83-0.74%
May 202585.460.74%
Jun 202585.580.15%
Jul 202585.980.46%
Aug 202586.000.03%
Sep 202585.95-0.07%
Oct 202584.89-1.23%
Nov 202583.69-1.41%
Dec 202584.701.20%
Jan 202685.831.34%
Feb 202686.210.44%
Mar 202686.220.01%

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