# Mali Import Demand Profile: Data, Sectors & Suppliers | Yugalinks

> Published by **Yugalinks**, global trade intelligence for growing businesses.

Explore import demand for Mali with OECD trade data: sectors, suppliers, economy context, and trade history.

Canonical: https://www.yugalinks.com/trade/country-import/MLI

## Mali import demand overview

In 2024, Mali recorded $6.5B in reported imports. Precious stones and metals was the largest displayed import sector by value.

## Country snapshot

| Measure | Value |
| --- | ---: |
| Latest imports | $6.5B |
| Import growth | -1.2% |
| Population | 24.5M |
| GDP per capita | $1.1K |
| Trade openness | 55.3% |

## Import sectors

| Rank | HS2 | Sector | Imports | Share | Import partners | Active HS6 |
| ---: | --- | --- | ---: | ---: | ---: | ---: |
| 1 | 71 | Precious stones and metals | $31.4M | 0.5% | 26 | 26 |
| 2 | 52 | Cotton | $196.6M | 3% | 25 | 48 |
| 3 | 27 | Mineral fuels | $2.3B | 34.6% | 57 | 27 |
| 4 | 12 | Oil seeds and oleaginous fruits | $13.7M | 0.2% | 31 | 29 |
| 5 | 26 | Ores, slag and ash | $915.7K | 0% | 9 | 12 |
| 6 | 13 | Lac, gums and vegetable extracts | $541.1K | 0% | 12 | 9 |
| 7 | 87 | Vehicles | $303.3M | 4.6% | 94 | 86 |
| 8 | 08 | Edible fruit and nuts | $14.9M | 0.2% | 36 | 54 |
| 9 | 31 | Fertilisers | $141.8M | 2.2% | 32 | 19 |
| 10 | 85 | Electrical machinery | $612.1M | 9.4% | 113 | 261 |

## Import history

| Year | Imports | Exports | Balance |
| ---: | ---: | ---: | ---: |
| 1995 | $681.5M | $551.2M | -$130.3M |
| 1996 | $710.1M | $598.8M | -$111.4M |
| 1997 | $677.5M | $535.0M | -$142.5M |
| 1998 | $768.3M | $430.7M | -$337.6M |
| 1999 | $793.4M | $436.4M | -$357.0M |
| 2000 | $884.3M | $462.2M | -$422.1M |
| 2001 | $933.3M | $648.7M | -$284.6M |
| 2002 | $880.7M | $735.4M | -$145.3M |
| 2003 | $1.1B | $969.4M | -$163.5M |
| 2004 | $1.3B | $909.9M | -$424.9M |
| 2005 | $1.5B | $808.2M | -$704.4M |
| 2006 | $1.7B | $1.6B | -$102.3M |
| 2007 | $2.1B | $1.4B | -$781.1M |
| 2008 | $2.5B | $1.8B | -$673.2M |
| 2009 | $2.5B | $1.5B | -$1.0B |
| 2010 | $3.5B | $1.6B | -$1.9B |
| 2011 | $3.1B | $1.9B | -$1.2B |
| 2012 | $3.2B | $3.3B | $138.5M |
| 2013 | $3.4B | $3.7B | $317.9M |
| 2014 | $3.6B | $4.2B | $601.1M |
| 2015 | $3.3B | $4.4B | $1.0B |
| 2016 | $3.6B | $3.8B | $172.1M |
| 2017 | $4.0B | $2.3B | -$1.7B |
| 2018 | $4.2B | $4.2B | -$63.7M |
| 2019 | $4.5B | $5.0B | $460.2M |
| 2020 | $4.9B | $5.4B | $447.6M |
| 2021 | $5.6B | $7.9B | $2.3B |
| 2022 | $6.5B | $7.1B | $620.9M |
| 2023 | $6.6B | $7.1B | $533.3M |
| 2024 | $6.5B | $5.7B | -$821.9M |

## Data coverage

- Country: **Mali (MLI)**
- Coverage: **1995-2024**
- Publisher: [Yugalinks](https://www.yugalinks.com/)

## Data sources

- Primary trade series: OECD (2025), Balanced international merchandise trade statistics (BIMTS) - HS2017-6D, OECD Data Explorer (accessed on 2026-08-29). [OECD Data Explorer](https://data-explorer.oecd.org/) - [OECD Terms & Conditions](https://www.oecd.org/termsandconditions/)
- CEPII BACI bilateral trade flows (202601): [dataset page](https://www.cepii.fr/CEPII/en/bdd_modele/bdd_modele_item.asp?id=37) - [BACI documentation](https://www.cepii.fr/DATA_DOWNLOAD/baci/doc/baci_webpage.html) - [Etalab 2.0 Open Licence](https://www.etalab.gouv.fr/wp-content/uploads/2018/11/open-licence.pdf)

This page presents derived Yugalinks views of reported observations and calculated indicators.

## Data sources

- Primary trade series: OECD (2025), Balanced international merchandise trade statistics (BIMTS) - HS2017-6D, OECD Data Explorer (accessed on 2026-08-29). [OECD Data Explorer](https://data-explorer.oecd.org/) - [OECD Terms & Conditions](https://www.oecd.org/termsandconditions/)
- CEPII BACI bilateral trade flows (202601): [dataset page](https://www.cepii.fr/CEPII/en/bdd_modele/bdd_modele_item.asp?id=37) - [BACI documentation](https://www.cepii.fr/DATA_DOWNLOAD/baci/doc/baci_webpage.html) - [Etalab 2.0 Open Licence](https://www.etalab.gouv.fr/wp-content/uploads/2018/11/open-licence.pdf)

This page presents derived Yugalinks views of reported observations and calculated indicators.