Cracking the Code
An analysis of Customs HS codes used in the trade in wild animals and plants from Africa to Asia.
INTRODUCTION
Understanding the trade in wildlife from Africa to Asia has critical conservation implications for many species.
While there is often a strong focus on investigating the illegal trade in wildlife, Trade statistics can be used to help ensure wildlife commodities are sustainably managed and to detect potentially illegal trade."
For a large proportion of species internationally traded, the UN Comtrade Database can offer crucial insights. The UN Comtrade Database is the biggest repository for trade data, containing over three billion trade records, going back as far as 1962 (Comtrade Admin, 2020). These data are from international trade statistics voluntarily reported by 170 countries/territories to the UN Statistics Division, and include trade routes, quantities and value of goods. The UN Statistics Division process and harmonise these data into a standard format to be made publicly available through the UN Comtrade Database (Comtrade Admin, 2020). The richness of these open-source data can play an important role in monitoring the trade of a range of different wildlife products.
The Harmonised System (HS) is an international system for classifying goods: broad sections of commodities are subdivided into chapters, which are further subdivided into headings and subheadings (Figure 1). There are approximately 5,300 article descriptions which classify products for customs purposes (UN Trade Statistics, 2017). This comprehensive HS code system is used widely by governments, international organisations and the private sector. HS codes change over time in response to changes in trade patterns, with codes being added or removed, or headings becoming more or less specific. These changes are overseen by the Harmonized System Committee which looks at the policy, makes decisions about classification and prepares amendments to the HS code system. These amendments update the HS code system every five to six years (WCO, 2021b).
Figure 1: Process of amending a HS code adapted from (WCO, 2021a)
The overall aim of this report is to explore the trade of wildlife, fisheries, and wood (timber and non-timber wood commodities) exported from Africa to Asia as reported in the UN Comtrade Database. This report highlights the value of this data repository as a means to investigate the international trade, as well as providing a valuable baseline for future work and to encourage those from governments, NGOs, academia, media and elsewhere to make use of this wealth of information.
KEY FINDINGS
freely available data
For many commodities, the UN Comtrade Database provides the only (or most comprehensive) freely available dataset that can be used to monitor trade.
SUPPORT THE IDENTIFICATION OF TRADE PATTERNS
Data from the UN Comtrade Database can be used to help understand broad patterns in the trade in wildlife commodities, and the countries involved.
DETECT REPORTING ISSUES
Looking at discrepancies between importer and exporter reported trade can aid detection of reporting issues, either due to illegal activity or problems with the reporting process.
EARLY WARNING FOR CONSERVATION CONCERNS
The long-term data from the UN Comtrade Database can provide insights into decreasing or increasing exports which could provide an early warning for sustainability or conservation concerns.
MONITOR EXPORT PATTERNS
Long-term data from the UN Comtrade Database could also allow changes in global export patterns to be monitored following national or international events.
IMPROVE TRADE MONITORING FOR CONSERVATION
A set of HS codes has been identified in this report which could improve trade monitoring for conservation (Appendix IV). It is important to explore how these codes, and others not explored in this report could be adapted to improve the monitoring of wildlife trade.
RECOMMENDATIONS
- Increase capacity building and awareness-raising among governments about the UN Comtrade Database.
- Investigate which species or genera would benefit most from the development of specific HS codes.
- Encourage changes in national HS codes to better benefit trade monitoring for conservation purposes.
- Encourage the uptake and use of new HS and national customs codes relevant to wildlife trade among trading bodies.
COUNTRY PROFILES
To navigate this map either:
- Scroll down to navigate through countries chronologically.
- Click on the yellow country labels on the main map.
Angola
Angola. Click to expand.
KEY COMMODITIES GROUPS: Wood and fishery commodities
ALGERIA
ALGERIA. Click to expand.
KEY COMMODITIES GROUPS: Fisheries
BENIN
BENIN. Click to expand.
KEY COMMODITIES GROUPS: Forestry
BOTSWANA
BOTSWANA. Click to expand.
KEY COMMODITIES GROUPS: Forestry and fisheries
burkina faso
burkina faso. Click to expand.
KEY COMMODITIES GROUPS: Fisheries
BURUNDI
BURUNDI. Click to expand.
KEY COMMODITIES GROUPS: Fisheries
CAMEROON
CAMEROON. Click to expand.
KEY COMMODITIES GROUPS: Forestry
CABO VERDE
CABO VERDE. Click to expand.
KEY COMMODITIES GROUPS: Fisheries
central african republic
central african republic. Click to expand.
KEY COMMODITIES GROUPS: Forestry

CHAD
CHAD. Click to expand.
KEY COMMODITIES GROUPS: Chad did not submit any merchandise trade reports between 2014 and 2018 to the UN Comtrade Database.
COTE D-IVOIRE
COTE D-IVOIRE. Click to expand.
KEY COMMODITIES GROUPS: Forestry
Democratic Republic of Sao Tome and Principe
Democratic Republic of Sao Tome and Principe. Click to expand.
KEY COMMODITIES GROUPS: Fisheries

The Democratic Republic of the Congo (DRC)
The Democratic Republic of the Congo (DRC). Click to expand.
KEY COMMODITIES GROUPS: The Democratic Republic of the Congo (DRC) did not report any exports to the UN Comtrade Database between 2014-2018, and has not submitted data since 1986 (UN Comtrade, 2020). However, trading partners have reported significant amounts of trade between 2014 and 2018. DRC traditionally exported timber to Europe, but there has been an increase in trading links with mainland China (Lawson, 2014)

Djibouti
Djibouti. Click to expand.
KEY COMMODITIES GROUPS: Djibouti did not submit any merchandise trade reports between 2014 and 2018 to the UN Comtrade Database. Other countries did report importing goods from Djibouti during this time.
Egypt
Egypt. Click to expand.
KEY COMMODITIES GROUPS: Medicinal and aromatic plants followed by wood and fisheries commodities.

Equatorial Guinea
Equatorial Guinea. Click to expand.
KEY COMMODITIES GROUPS: Equatorial Guinea did not submit any trade reports to the UN Comtrade Database between 2014 and 2018 (UN Comtrade, 2020). However, other countries did report importing from Equatorial Guinea during this time.

Eritrea
Eritrea. Click to expand.
KEY COMMODITIES GROUPS: Eritrea did not submit trade reports to the UN Comtrade Database between 2014-2018 (UN Comtrade, 2020).
Eswatini
Eswatini. Click to expand.
KEY COMMODITIES GROUPS: Forestry
Ethiopia
Ethiopia. Click to expand.
KEY COMMODITIES GROUPS: Animals and medicinal plants

GABON
GABON. Click to expand.
KEY COMMODITIES GROUPS: Gabon did not submit reports of merchandise trade between 2014 and 2018 through the UN Comtrade Database. Other countries did report importing from Gabon between 2014 and 2018.
The Republic of the Gambia
The Republic of the Gambia. Click to expand.
KEY COMMODITIES GROUPS: Forestry and fisheries
Ghana
Ghana. Click to expand.
KEY COMMODITIES GROUPS: Forestry and fisheries
Republic of Guinea
Republic of Guinea. Click to expand.
KEY COMMODITIES GROUPS: Fisheries

Guinea-Bissau
Guinea-Bissau. Click to expand.
KEY COMMODITIES GROUPS: Guinea-Bissau did not submit any reports on the trade in merchandise to UN Comtrade between 2014 and 2018.
KENYA
KENYA. Click to expand.
KEY COMMODITIES GROUPS: Fisheries
LESOTHO
LESOTHO. Click to expand.
KEY COMMODITIES GROUPS: Fisheries

liberia
liberia. Click to expand.
KEY COMMODITIES GROUPS: Liberia did not report any exports between 2014 and 2018 in the UN Comtrade Database.

LIBYA
LIBYA. Click to expand.
KEY COMMODITIES GROUPS: Libya did not submit any merchandise reports to UN Comtrade between 2014 and 2018. Other countries, however, did report significant imports of fisheries commodities (HS 03) from Libya between 2014 and 2018 (USD142,954,000).
MADAGASCAR
MADAGASCAR. Click to expand.
KEY COMMODITIES GROUPS: Fisheries
MALAWI
MALAWI. Click to expand.
KEY COMMODITIES GROUPS: Forestry and fisheries
MALI
MALI. Click to expand.
KEY COMMODITIES GROUPS: Forestry
MAURITIANA
MAURITIANA. Click to expand.
KEY COMMODITIES GROUPS: Fisheries
Republic of Mauritius
Republic of Mauritius. Click to expand.
KEY COMMODITIES GROUPS: Fisheries

MAYOTTE
MAYOTTE. Click to expand.
KEY COMMODITIES GROUPS: Mayotte did not report any exports of wildlife commodities, to Asia between 2014 and 2018 in the UN Comtrade Database.
morocco
morocco. Click to expand.
KEY COMMODITIES GROUPS: Fisheries
MOZAMBIQUE
MOZAMBIQUE. Click to expand.
KEY COMMODITIES GROUPS: Forestry
NAMIBIA
NAMIBIA. Click to expand.
KEY COMMODITIES GROUPS: Forestry and fisheries.
REPUBLIC OF THE NIGER
REPUBLIC OF THE NIGER. Click to expand.
KEY COMMODITIES GROUPS: Fisheries
Federal Republic of Nigeria
Federal Republic of Nigeria. Click to expand.
KEY COMMODITIES GROUPS: Fisheries

REUNION
REUNION. Click to expand.
KEY COMMODITIES GROUPS: Reunion is an overseas department of France, and therefore the trade of Reunion has been included under France in data from the UN Comtrade Database since 1996 (UN Comtrade, 2009). In the cases of overseas territories like Reunion, UN Comtrade may not be a useful tool given the challenges of separating trade information from the trade of France and other overseas departments.
Republic of the Congo
Republic of the Congo. Click to expand.
KEY COMMODITIES GROUPS: Forestry

Republic OF RWANDA
Republic OF RWANDA. Click to expand.
KEY COMMODITIES GROUPS: Rwanda did submit trade reports to UN Comtrade between 2014 and 2018, but did not report any trade of fisheries, wood of wildlife commodities to Asia.
SENEGAL
SENEGAL. Click to expand.
KEY COMMODITIES GROUPS: Fisheries
SIERRA LEONE
SIERRA LEONE. Click to expand.
KEY COMMODITIES GROUPS: Fisheries and forestry
SEYCHELLES
SEYCHELLES. Click to expand.
KEY COMMODITIES GROUPS: Fisheries

SOMALIA
SOMALIA. Click to expand.
KEY COMMODITIES GROUPS: Somalia did not submit any merchandise trade reports to the UN Comtrade Database between 2014 and 2018.

SOMALILAND
SOMALILAND. Click to expand.
KEY COMMODITIES GROUPS: Somaliland is not recognised by the UN so does not submit reports to the UN Comtrade Database.
SOUTH AFRICA
SOUTH AFRICA. Click to expand.
KEY COMMODITIES GROUPS: Fisheries and forestry, followed by animal commodities.

SOUTH SUDAN
SOUTH SUDAN. Click to expand.
KEY COMMODITIES GROUPS: South Sudan did not submit reports of merchandise trade between 2014 and 2018 on the UN Comtrade Database.
SUDAN
SUDAN. Click to expand.
KEY COMMODITIES GROUPS: Animals and medicinal and aromatic plants
TANZANIA
TANZANIA. Click to expand.
KEY COMMODITIES GROUPS: Fisheries
TOGO
TOGO. Click to expand.
KEY COMMODITIES GROUPS: Forestry
TUNISIA
TUNISIA. Click to expand.
KEY COMMODITIES GROUPS: Fisheries
UGANDA
UGANDA. Click to expand.
KEY COMMODITIES GROUPS: Fisheries

WESTERN SAHARA
WESTERN SAHARA. Click to expand.
KEY COMMODITIES GROUPS: Western Sahara is a disputed territory and not currently a submitter of data to the UN Comtrade Database (Comtrade, 2020), it has therefore not reported any trade in wildlife commodities, fisheries produce or wood commodities from 2014 to 2018.
ZIMBABWE
ZIMBABWE. Click to expand.
KEY COMMODITIES GROUPS: Animal commodities
ZAMBIA
ZAMBIA. Click to expand.
KEY COMMODITIES GROUPS: Forestry
DOWNLOAD THE REPORT
Download the full report in PDF for Cracking the Code, or browse our overview and individual country profile documents.
CAVEATS
Asia is not Africa’s only trading partner and therefore this report should not be considered as an analysis of total exports from Africa. Summary graphs show the trade to Asia in the context of global trade, however discussions about commodities from Africa to areas outside Asia, e.g., Europe, are not included in this report. Further to this, for each country a case study for a single commodity is presented. These commodities have been chosen because they are of high value or of particular conservation interest. However, these are just examples and there will be many other wildlife commodities traded which are not explored in this report.
In this analysis, HS codes describing the commodities are analysed as reported in the UN Comtrade Database. In some cases, countries may still be reporting using old HS codes and this can lead to discrepancies in codes used by different countries. New codes may be underrepresented in this analysis as the HS code was not in existence for the full time period analysed, and/or there is a delay in countries reporting against this code.
Figure 2: Example of the hierarchical structure of the Harmonized System.
In most cases, HS codes describe a commodity that could encompass a large number of species, meaning that unlike data from the CITES Trade Database, in most cases it is not possible to investigate species-specific trade data from the UN Comtrade Database alone. However, as the majority of species (in particular timber and fish species) are not listed on CITES, data from the UN Comtrade Database are valuable in providing insights into the trade of species groups not documented elsewhere.
Within a code there may be a huge diversity in the source from which the wildlife was harvested. For example, a code for reptile skins may include skins from animals harvested from the wild, bred in captivity, or collected from the wild as juveniles/eggs and raised in captivity. Similarly, a code for fish like trout could refer to farmed fish or fish which have been caught from the wild. It is not possible to know how these commodities were sourced, whether they are incorrectly reported or illegally traded from the UN Comtrade Database alone.
While the data are those reported in countries’ official statistics and therefore inferred to be legally traded, it may be the case that wildlife commodities could have been harvested or traded illegally. Commodities may also be purposefully mis-reported under an incorrect code to avoid regulation. For example, unprocessed timber may be reported incorrectly using a code describing it as processed, simply to avoid log export bans in some countries.
The study uses trade statistics reported by exporting countries: in some cases, reports have not been submitted by exporting countries, in other cases there may be errors in reported quantities or inconsistencies in the codes used. Investigating these errors is outside the scope of this study. Similarly, changes in trade over the time frame of this study may be due to changes in reporting methods, regulation or governance, in most cases these are not discussed in this study.
ACKNOWLEDGMENTS
Thanks to Stephanie Pendry for her extensive guidance in reviewing this project. Thanks also to Anastasiya Timoshyna, Sabri Zain, Richard Thomas, and Markus Bürgener for their advice and support, and to Abbie Pearce for additional communications guidance.
This report was generously funded by Arcadia; a charitable fund of Lisbert Rausing and Peter Baldwin via TRAFFIC's Reducing Trade Threats to Africa’s Wild Species and Ecosystems (ReTTA) Project.