Product intelligence · HS 291260 · 2024 data

Paraformaldehyde

Global exports of paraformaldehyde totalled $144,563,350 in 2024, a -4.1% change from the previous year. Traded by 67 countries across 696 bilateral corridors, with demand from 141 importing markets. The long-term trend is declining.

Data: OECD BIMTS · Coverage: 19952024 · Updated: 2026-07-17

Global trade

$144.6M

-4.1% YoY

3Y / 5Y CAGR

-7.2%

5Y: +2.8%

Supply structure

Moderately concentrated

HHI 0.172

Volatility

Low

Score 10/100

1.

Market movement

In 2024, paraformaldehyde trade exhibited slight decline, with global flows reaching $144,563,350 and a three-year compound annual growth rate of -7.2% (five-year: +2.8%). The all-time peak of $180,939,192 was recorded in 2021; the current level is 20% below that high-water mark.

Over the 30-year observation window (19952024), 55% of years recorded positive growth, indicating a mildly upward trajectory with periodic contractions. Trend momentum is decelerating (-6.1% acceleration).

The World Trade Flows Characterization classifies paraformaldehyde as "One-way trade" in the unclassified price segment, providing additional context for market positioning and competitive dynamics.

2.

Supply & demand structure

The supply side is moderately concentrated (Herfindahl-Hirschman Index 0.172). The three largest exporters — China ($41.6M), Spain ($38.1M), and Taiwan ($24.7M) — collectively dominate supply flows. The leading exporter has grown at +6.2% over the last three years.

On the demand side, importer concentration is diversified (HHI 0.052). The three largest import markets are South Korea ($19.9M), Japan ($12.9M), and India ($11.3M). The largest importing market sources from 13 different supplying countries.

Estimated substitution elasticity: -10.22. Buyers are highly price-sensitive and can switch between suppliers relatively easily.

The dominant trade corridor is Taiwan → Japan at $10.6M, representing 82.2% of the importer's total demand.

3.

Risk profile & trade outlook

The volatility score for paraformaldehyde is 10 out of 100, classified as low. Trade flows are relatively stable compared to other HS6 products, suggesting mature supply chains and predictable demand.

For market entrants, contracting demand signals caution before committing resources. A moderately concentrated market rewards differentiated positioning and strategic partner selection.

Data confidence is rated "High" based on reporting coverage and consistency across OECD member and partner countries.

Historical evidence

Annual trade value 19952024

Peak: $180,939,192 in 2021. Currently 20% below peak.

YearGlobal trade (USD)YoY growth
2015$127,696,900-21.1%
2016$108,377,979-15.1%
2017$125,390,559+15.7%
2018$142,009,085+13.3%
2019$125,872,471-11.4%
2020$107,027,139-15.0%
2021$180,939,192+69.1%
2022$179,432,528-0.8%
2023$150,707,366-16.0%
2024$144,563,350-4.1%

Top exporting countries

Ranked by export value of paraformaldehyde in 2024.

View all 67 exporters →

Top importing markets

Largest import destinations for paraformaldehyde.

View all 141 markets →

Leading trade corridors

Largest bilateral export flows for paraformaldehyde, ranked by value. Click any country to view its full profile.

#ExporterImporterValue 20243Y CAGR
1TaiwanJapan$10.6M+3.0%
2ChinaSouth Korea$9.4M+14.0%
3SpainIndia$5.1M-4.0%
4SpainSouth Korea$3.4M+16.1%
5TaiwanSouth Korea$3.4M-28.8%
6IndonesiaSouth Korea$1.8M+3.0%
7SpainJapan$1.7M-6.2%
8TaiwanIndia$1.5M+5.3%

Showing top 8 of 10 corridors with available data for 2024.

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Sources, definitions & methodology

Data source

OECD Bilateral International Merchandise Trade Statistics (BIMTS). Aggregated from 312M+ reported trade records across 200+ countries and 5,300+ HS6 product codes. Coverage: 19952024.

Key indicators

HHI (Herfindahl-Hirschman Index): market concentration, 0 = fully diversified, 1 = single player. CAGR: compound annual growth rate over a stated period. Volatility score: trade value variability, 0–100 scale.

How this page is made

All statistical content on this page is data-driven, composed programmatically from live OECD trade records. No generic AI-generated prose is used. Analytical paragraphs combine real data points with factual interpretation. This page was last refreshed on 2026-07-17.