Product intelligence · HS 811222 · 2024 data

Chromium: waste and scrap

Global exports of chromium: waste and scrap totalled $11,196,649 in 2024, a +4.6% change from the previous year. Traded by 58 countries across 170 bilateral corridors, with demand from 50 importing markets. The long-term trend is growing.

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

Global trade

$11.2M

+4.6% YoY

3Y / 5Y CAGR

+3.1%

5Y: -4.1%

Supply structure

Diversified

HHI 0.076

Volatility

Low

Score 18/100

1.

Market movement

In 2024, chromium: waste and scrap trade exhibited modest growth, with global flows reaching $11,196,649 and a three-year compound annual growth rate of +3.1% (five-year: -4.1%). The all-time peak of $78,260,617 was recorded in 2007; the current level is 86% below that high-water mark.

Over the 30-year observation window (19952024), 62% of years recorded positive growth, indicating a mildly upward trajectory with periodic contractions. Trend momentum is strengthening (+7.0% acceleration).

2.

Supply & demand structure

The supply side is diversified (Herfindahl-Hirschman Index 0.076). The three largest exporters — United Kingdom ($2.4M), Poland ($2.3M), and Germany ($1.9M) — collectively dominate supply flows. The leading exporter has grown at +27.1% over the last three years.

On the demand side, importer concentration is moderately concentrated (HHI 0.157). The three largest import markets are United States ($3.5M), Germany ($2.1M), and Estonia ($698.5K). The largest importing market sources from 10 different supplying countries.

Estimated substitution elasticity: -35.64. Buyers are highly price-sensitive and can switch between suppliers relatively easily.

The dominant trade corridor is United Kingdom → United States at $1.8M, representing 50.5% of the importer's total demand.

3.

Risk profile & trade outlook

The volatility score for chromium: waste and scrap is 18 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, modest but steady demand provides a reasonable entry window. The diversified supply landscape means many competitors but also multiple entry points and buyer relationships to target.

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

Historical evidence

Annual trade value 19952024

Peak: $78,260,617 in 2007. Currently 86% below peak.

YearGlobal trade (USD)YoY growth
2015$13,986,050-16.0%
2016$12,294,870-12.1%
2017$12,806,878+4.2%
2018$18,183,252+42.0%
2019$13,817,039-24.0%
2020$9,718,906-29.7%
2021$10,216,830+5.1%
2022$15,647,930+53.2%
2023$10,702,486-31.6%
2024$11,196,649+4.6%

Top exporting countries

Ranked by export value of chromium: waste and scrap in 2024.

View all 58 exporters →

Top importing markets

Largest import destinations for chromium: waste and scrap.

View all 50 markets →

Leading trade corridors

Largest bilateral export flows for chromium: waste and scrap, ranked by value. Click any country to view its full profile.

#ExporterImporterValue 20243Y CAGR
1United KingdomUnited States$1.8M+28.2%
2CanadaUnited States$1.3M+119.0%
3LibyaBelgium$1.1M
4OmanChina$1.1M
5PolandSweden$1.0M+360.9%
6SlovakiaGermany$765.0K+3.3%
7GermanyCzechia$707.1K+1077.7%
8PolandSlovenia$584.2K

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.