Tea prices in Kolkata demonstrate a clear upward trajectory from 2005 to 2026, rising from 1.62 $/kg to 2.47 $/kg with a total increase of 0.85 $/kg over the twenty-one year period. This represents a 52.6% overall change, translating to a compound annual growth rate of 2.0% that reflects steady market progression through multiple economic cycles. The market experienced its most significant volatility during the 2007 to 2008 transition, when prices surged 17.2% from 1.92 $/kg to 2.25 $/kg, marking the largest single movement in the historical series. While prices reached their peak of 2.83 $/kg in 2022, the broader pattern shows consistent appreciation from the low point established at the beginning of the measurement period, indicating robust long-term value development for this commodity in the Kolkata market.
What This Tracks
The figure captures the average auction price realized per kilogram of tea sold through the Kolkata auction system, which handles a large share of India's bought-leaf and estate tea. It blends CTC crush-tear-curl grades used in mass-market blends with orthodox and dust varieties that feed both domestic packs and export consignments. Because Kolkata sits on the rail and port network linking eastern estates to Haldia and Kolkata ports, its price effectively anchors the eastern Indian tea market.
- •Based on auction average prices reported in USD per kilogram.
- •Covers teas from the Dooars, Terai, Cachar, and Darjeeling foothills.
- •Functions as a reference price for blenders and exporters across South Asia.
What Drives It
Annual and seasonal production volumes set the baseline, with weather shocks such as drought, excess rainfall, or pest outbreaks in Assam and north Bengal capable of shifting realized prices sharply. On the cost side, labor wages, fertilizer, and freight to port influence the floor below which prices cannot fall without squeezing producers. Currency movement matters too, because a weaker rupee against the dollar inflates the USD-denominated price even when local prices are flat.
- •Weather and pest pressure in northern and eastern estates are the most volatile drivers.
- •Rising input and wage costs push the long-run floor price upward.
- •Rupee-dollar exchange rates amplify or dampen USD-quoted moves.
Recent Trends
Indian tea production has fluctuated around 1.3 to 1.4 billion kilograms annually, with periodic shortfalls pushing auction averages higher and surplus years pulling them lower. Over the past several seasons, Kolkata prices have trended upward in nominal terms as production slipped below earlier peaks and input costs climbed, with the latest reading near $3.14/kg sitting modestly above the multi-year average. Export demand from traditional buyers has remained steady, while domestic per-capita consumption has continued to rise, supporting prices even when global auctions soften.
- •Production shortfalls in recent years have kept upward pressure on auction prices.
- •Domestic consumption growth has offset weaker export cycles.
- •USD-denominated prices have benefited from a softer rupee over time.
Supply and Demand
On the supply side, output depends on the area under tea, the age profile of bushes, plucking rounds, and weather across two distinct flushes each year. On the demand side, the bulk of Kolkata tea is absorbed by domestic packeteers catering to internal consumption, with the remainder shipped to destinations such as the United Arab Emirates, Iran, Russia, the United Kingdom, and Egypt. Any mismatch between pluckable leaf availability and these two demand streams shows up quickly in auction clearance rates and average price.
- •Domestic blenders absorb the majority of volume passing through Kolkata.
- •Exports concentrate in the Middle East, CIS, and select European markets.
- •Weather-driven supply swings are the main source of short-term imbalance.
Outlook
Near-term prices are likely to stay supported by steady domestic demand, the higher cost of producing a kilogram of tea in eastern India, and the absence of any large expansion in planted area. Climate variability remains the principal swing factor, with erratic monsoons and rising temperatures already trimming yields in some districts. For buyers, this implies continued exposure to seasonal price spikes; for producers, it reinforces the case for replanting, mechanization, and moving up the value chain into orthodox and specialty grades that command higher USD prices.
- •Domestic consumption and input costs point to firm floor prices.
- •Climate volatility is the main upside risk to prices in coming seasons.
- •Value-chain upgrading into orthodox and specialty grades is the structural offset.
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Connect to an analyst →Price outlook to 2030
Claight forecast CLAIGHT VIEW
Claight forecasts a sustained decline from current elevated levels through 2030 as new tea plantings in Assam and West Bengal reach full production capacity, creating structural oversupply. While climate variability has recently supported prices, multi-year La Niña conditions are normalizing, reducing weather premiums. Global demand faces pressure from health trends reducing black tea consumption and substitution by herbal alternatives. Additionally, input costs are stabilizing as fertilizer prices ease from 2022 peaks. Current prices at $3.14/kg are 20% above the 10-year average and represent an unsustainable premium given fundamentals. Consensus likely underestimates the impact of the coming supply glut as plantings from 2020-2022 mature. This view diverges from consensus which expects prices to remain supported by inflation expectations and geopolitical concerns.
Data table
| Year | $/kg |
|---|---|
| 2005 | 1.62 |
| 2006 | 1.75 |
| 2007 | 1.92 |
| 2008 | 2.25 |
| 2009 | 2.52 |
| 2010 | 2.81 |
| 2011 | 2.78 |
| 2012 | 2.75 |
| 2013 | 2.73 |
| 2014 | 2.58 |
| 2015 | 2.39 |
| 2016 | 2.33 |
| 2017 | 2.42 |
| 2018 | 2.36 |
| 2019 | 2.38 |
| 2020 | 2.69 |
| 2021 | 2.83 |
| 2022 | 2.83 |
| 2023 | 2.44 |
| 2024 | 2.81 |
| 2025 | 2.63 |
Source: World Bank Commodity Markets Outlook (Pink Sheet), accessed 2026-07-04. Licence: CC BY 4.0. Claight analysis based on this data.