Product intelligence · HS 630900 · 2024 data

Clothing: worn, and other worn articles

Global exports of clothing: worn, and other worn articles totalled $4,957,343,897 in 2024, a -4.2% change from the previous year. Traded by 196 countries across 8,224 bilateral corridors, with demand from 199 importing markets. The long-term trend is stable.

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

Global trade

$5.0B

-4.2% YoY

3Y / 5Y CAGR

+0.1%

5Y: +2.9%

Supply structure

Diversified

HHI 0.078

Volatility

Low

Score 2/100

1.

Market movement

In 2024, clothing: worn, and other worn articles trade exhibited slight decline, with global flows reaching $4,957,343,897 and a three-year compound annual growth rate of +0.1% (five-year: +2.9%). The all-time peak of $5,177,311,502 was recorded in 2023; the current level is 4% below that high-water mark.

Over the 30-year observation window (19952024), 76% of years recorded positive growth, indicating a predominantly expanding market. Trend momentum is steady (-1.7% acceleration).

The World Trade Flows Characterization classifies clothing: worn, and other worn articles as "One-way trade" in the medium price range price segment, providing additional context for market positioning and competitive dynamics.

2.

Supply & demand structure

The supply side is diversified (Herfindahl-Hirschman Index 0.078). The three largest exporters — United States ($942.1M), China ($645.6M), and United Kingdom ($438.5M) — collectively dominate supply flows. The leading exporter has grown at +1.2% over the last three years.

On the demand side, importer concentration is diversified (HHI 0.022). The three largest import markets are Pakistan ($366.7M), United Arab Emirates ($211.7M), and Kenya ($201.7M). The largest importing market sources from 76 different supplying countries.

Estimated substitution elasticity: -0.44. Buyers tend to remain with established suppliers even when price differences exist.

The dominant trade corridor is United States → Guatemala at $182.5M, representing 97.9% of the importer's total demand.

3.

Risk profile & trade outlook

The volatility score for clothing: worn, and other worn articles is 2 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. 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: $5,177,311,502 in 2023. Currently 4% below peak.

YearGlobal trade (USD)YoY growth
2015$3,825,164,736-7.8%
2016$3,683,879,155-3.7%
2017$4,064,828,988+10.3%
2018$4,341,715,888+6.8%
2019$4,289,049,773-1.2%
2020$3,745,972,528-12.7%
2021$4,947,065,105+32.1%
2022$5,159,606,091+4.3%
2023$5,177,311,502+0.3%
2024$4,957,343,897-4.2%

Top exporting countries

Ranked by export value of clothing: worn, and other worn articles in 2024.

View all 196 exporters →

Top importing markets

Largest import destinations for clothing: worn, and other worn articles.

View all 199 markets →

Leading trade corridors

Largest bilateral export flows for clothing: worn, and other worn articles, ranked by value. Click any country to view its full profile.

#ExporterImporterValue 20243Y CAGR
1United StatesGuatemala$182.5M+9.8%
2United StatesPakistan$113.5M+4.9%
3ChinaKenya$97.4M+3.9%
4United StatesHonduras$85.0M-6.7%
5United KingdomPakistan$75.8M+84.3%
6United StatesChile$70.3M+2.2%
7South KoreaMalaysia$64.4M+5.4%
8United KingdomUkraine$63.6M+4.8%

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.