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

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

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

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

## Maldives import demand overview

In 2024, Maldives recorded $4.0B in reported imports. Aircraft was the largest displayed import sector by value.

## Country snapshot

| Measure | Value |
| --- | ---: |
| Latest imports | $4.0B |
| Import growth | -4.5% |
| Population | 527.8K |
| GDP per capita | $13.4K |
| Trade openness | 107.1% |

## Import sectors

| Rank | HS2 | Sector | Imports | Share | Import partners | Active HS6 |
| ---: | --- | --- | ---: | ---: | ---: | ---: |
| 1 | 88 | Aircraft | $227.8M | 5.7% | 52 | 12 |
| 2 | 03 | Fish and crustaceans | $23.0M | 0.6% | 85 | 167 |
| 3 | 27 | Mineral fuels | $559.4M | 13.9% | 52 | 28 |
| 4 | 16 | Prepared meat and fish | $16.8M | 0.4% | 79 | 41 |
| 5 | 15 | Animal and vegetable fats | $23.7M | 0.6% | 52 | 38 |
| 6 | 72 | Iron and steel | $81.3M | 2% | 37 | 133 |
| 7 | 23 | Food industry residues | $1.4M | 0% | 30 | 10 |
| 8 | 84 | Machinery | $465.5M | 11.5% | 105 | 459 |
| 9 | 74 | Copper | $6.0M | 0.1% | 41 | 40 |
| 10 | 71 | Precious stones and metals | $120.8M | 3% | 43 | 36 |

## Import history

| Year | Imports | Exports | Balance |
| ---: | ---: | ---: | ---: |
| 1995 | $294.7M | $62.8M | -$231.9M |
| 1996 | $328.4M | $79.2M | -$249.2M |
| 1997 | $352.9M | $94.3M | -$258.5M |
| 1998 | $359.8M | $98.0M | -$261.8M |
| 1999 | $379.4M | $100.4M | -$279.1M |
| 2000 | $426.6M | $149.7M | -$276.9M |
| 2001 | $395.9M | $163.8M | -$232.1M |
| 2002 | $397.0M | $195.2M | -$201.8M |
| 2003 | $469.6M | $178.9M | -$290.7M |
| 2004 | $757.9M | $214.9M | -$543.0M |
| 2005 | $763.9M | $170.1M | -$593.8M |
| 2006 | $1.1B | $175.1M | -$903.6M |
| 2007 | $1.2B | $146.5M | -$1.1B |
| 2008 | $1.6B | $170.3M | -$1.4B |
| 2009 | $998.1M | $102.9M | -$895.2M |
| 2010 | $1.1B | $131.4M | -$993.5M |
| 2011 | $1.4B | $178.6M | -$1.3B |
| 2012 | $1.5B | $213.9M | -$1.3B |
| 2013 | $1.8B | $208.6M | -$1.6B |
| 2014 | $1.9B | $185.2M | -$1.7B |
| 2015 | $2.1B | $206.8M | -$1.9B |
| 2016 | $2.3B | $244.6M | -$2.1B |
| 2017 | $2.5B | $397.6M | -$2.1B |
| 2018 | $3.1B | $370.2M | -$2.7B |
| 2019 | $2.7B | $234.7M | -$2.4B |
| 2020 | $1.8B | $206.1M | -$1.6B |
| 2021 | $2.8B | $240.8M | -$2.6B |
| 2022 | $4.5B | $737.1M | -$3.8B |
| 2023 | $4.2B | $330.0M | -$3.9B |
| 2024 | $4.0B | $262.5M | -$3.8B |

## Data coverage

- Country: **Maldives (MDV)**
- 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.