T13 · Trade opportunity evidence

China (CHN) to RUS (RUS) paper pulp, paper, paperboard, cellulose wadding or webs of cellulose fibres: articles n.e.c. in heading no. 4823 (HS6 482390)

A country-to-country view of reported paper pulp, paper, paperboard, cellulose wadding or webs of cellulose fibres: articles n.e.c. in heading no. 4823 trade, combining buyer demand, exporter position, market structure, access conditions, and observed lane history.

Explore HS 482390 in the workspace

Exporter China (CHN)Importer RUS (RUS)HS6 482390Two-way vertical tradeCoverage 1995-2024Accelerating

3-year buyer projection

$52.5MCalculated from reported demand

Exporter growth

+11.1%Full available history

Suppliers in market

28Latest reported count

Observed history

30 yearsLast year: 2024

Reported observations

What this paper pulp, paper, paperboard, cellulose wadding or webs of cellulose fibres: articles n.e.c. in heading no. 4823 lane shows for HS 482390

Core values for China (CHN) → RUS (RUS) in HS 482390.

Buyer market

Latest imports$42.1M

Five-year projection$60.7M

Buyer CAGR+7.6%

Latest annual change-39.8%

Exporter position

Latest exports$23.8M

Market share56.5%

Share change+25.9 pp

Best observed share56.5%

Market structure

Reported suppliers28

Concentration index3,689.3

Share gap+0 pp

SignalAccelerating

Detailed evidence

Complete lane evidence

Reported values, calculated indicators, and country-pair context for this route.

Measure	Value	What it describes
Buyer imports	$42.1M	RUS (RUS)'s latest reported imports
Exporter exports	$23.8M	China (CHN)'s exports to RUS (RUS)
Exporter market share	56.5%	Exporter share of the reported buyer market
Buyer five-year CAGR	+7.6%	Annualized change in buyer imports
Exporter full-history CAGR	+11.1%	Annualized change in exporter exports
Three-year buyer projection	$52.5M	Calculated projection from reported demand
Five-year buyer projection	$60.7M	Calculated projection from reported demand
Average buyer imports	$35.9M	Average reported importer value
Peak buyer imports	$70.0M	Highest reported importer value
Average exporter exports	$6.4M	Average reported lane exports
Peak exporter exports	$23.8M	Highest reported lane exports
Share change	+25.9 pp	Latest one-year change in exporter share
Reported suppliers	28	Supplier countries observed in the latest period
Buyer GDP	$1.8T	Latest buyer-country GDP estimate
Buyer GDP per person	$12.4K	Latest buyer-country GDP per person
Buyer population	143,446.1 thousand	Latest buyer-country population estimate
Buyer investment rate	22.5%	Reported buyer-country investment rate
Buyer secondary education	98.5%	Reported secondary education coverage
Distance	5,795 km	Approximate country-pair distance
Business entry time	10.1 days	Reported days to start a business
Shared legal system	Yes	Country-pair institutional relationship
Reported FTA	No	Reported trade-agreement indicator
WTO member	Yes	Buyer-country WTO membership indicator
Lane volatility	1.1	Variation indicator across observed lane values
Maximum drawdown	98.6%	Largest observed decline from a prior peak
Observed history	30 years	Coverage through 2024

Research reading

Paper pulp, paper, paperboard, cellulose wadding or webs of cellulose fibres: articles n.e.c. in heading no. 4823 demand and the China (CHN) to RUS (RUS) lane

RUS (RUS) reported $42.1M of paper pulp, paper, paperboard, cellulose wadding or webs of cellulose fibres: articles n.e.c. in heading no. 4823 imports in 2024. China (CHN) accounted for 56.5% of the observed market and reported $23.8M in exports on this lane.

The latest annual values eased slightly, while the longer available history shows +7.6% buyer growth and +11.1% exporter growth. The page separates reported values from projections and indicators.

Product classification

What does HS 482390 include?

HS 482390 covers Paper pulp, paper, paperboard, cellulose wadding or webs of cellulose fibres: articles n.e.c. in heading no. 4823. This page studies the six-digit Harmonized System classification rather than a company, brand, retail category, or individual shipment.

The classification sits in HS chapter 48 and heading 4823. The recorded trade type is two-way vertical trade, with a low price range classification in the available product reference data.

How to interpret this page

Compare demand, position, and history together

This HS 482390 trade opportunity page brings together the buyer market in RUS (RUS), the exporter position of China (CHN), and the observed conditions of their trade lane. A large buyer market does not by itself show that every exporter has equal access, and a positive growth rate does not remove the need to examine volatility and historical coverage.

Use the reported imports and exports to understand scale, market share to understand position, projections to understand the calculated forward view, and lane history to understand how much evidence supports the comparison.

Frequently asked questions

Questions about China (CHN) to RUS (RUS) paper pulp, paper, paperboard, cellulose wadding or webs of cellulose fibres: articles n.e.c. in heading no. 4823 trade

What is the HS code for this product?

This page covers HS 482390, the six-digit product classification shown in the trade records.

How large is the RUS (RUS) market?

The page reports the latest buyer imports, historical averages, peaks, growth, and calculated projections for paper pulp, paper, paperboard, cellulose wadding or webs of cellulose fibres: articles n.e.c. in heading no. 4823.

How strong is China (CHN) in this market?

Exporter performance is shown through lane exports, market share, share change, growth, and the number of reported suppliers.

What should be checked before entering this market?

Review market scale, competition, access indicators, volatility, drawdown, and the available history together rather than relying on one signal.

Definitions and coverage

How to read this page

Reported values

Trade values describe reported merchandise trade for the stated HS6 classification. They are not company-level sales or shipment records.

Calculated indicators

Growth, projections, concentration, volatility, and share-gap figures are calculated from the reported observations and should be interpreted with their coverage period.

Coverage

This sample covers 30 observed years through 2024. Missing values are shown as not reported rather than estimated.