Mayotte (Overseas France) Exports, Imports & Trade Data
Year
20002013
MYT · country profile
Mayotte (Overseas France)
How does Mayotte (Overseas France)’s trade profile look? Level of exports and imports over thirty years, structural composition, partner concentration, and the position on the economic-complexity frontier.
exports 2013$22.1M
imports 2013$463.6M
balance-$441.5M
eci rank#61 / 227
products exported350
Figure 1
Mayotte (Overseas France): merchandise exports and imports, 1995-2013
Exports grew from $5.4M in 2000 to $22.1M in 2013, a CAGR of 11.4%. The merchandise balance sits at -$441.5M, which is -1996% of exports , a simple scale normalisation over the available BACI series. Note that exports are f.o.b. and imports c.i.f., so a meaningful portion of the gap reflects freight and insurance baked into the import valuation rather than a real shortfall in receipts (CIF/FOB spreads typically run 5-10% per UNCTAD/IMF BOP methodology, but country-specific values vary). The more conventional open-economy metric is the current- account balance as % of GDP, reported on the /macro/MYT page.
Source: CEPII BACI 202501 (retrieved 2026-04-28), f.o.b. exports and c.i.f. imports, summed across all reporters.Figure 1b
The structural change in what a country exports, from agriculture to manufactures to services, or between HS sections, is one of the most studied transitions in development economics (Imbs & Wacziarg 2003; Hausmann, Hwang & Rodrik 2007). The chart below shows the five largest HS sections of Mayotte (Overseas France)’s exports in 2013, plotted back thirty years.
Figure 2
Top-5 HS sections of exports, 1995-2013
Figure 2b
Export basket by HS chapter, 2013 · top-30 $22.0M of $22.1M total
Figure 2c
Import basket by HS chapter, 2013 · top-30 $406.5M of $463.6M total
Who it sells to
Figure 3a
World map of export destinations, 2013
Figure 3b
Top 12 export destinations, 2013
Economic complexity
The Economic Complexity Index (ECI) of Hidalgo & Hausmann (2009, PNAS) ranks countries by the productive knowledge embedded in their export basket. Countries that export many products, and whose products are also exported by few others, score high. ECI is predictive of subsequent income growth and structural transformation; see Hausmann et al. (2014, The Atlas of Economic Complexity, MIT Press) for the full methodology and the comparative country atlas.
Revealed comparative advantage (Balassa 1965) says a country is specialised in a product when its share of that product’s world exports exceeds the country’s share of all world exports. A stronger version asks: which HS6 lines does the country lead the world in? The table below lists the ten largest export lines (by value) where Mayotte (Overseas France) ranks in the world top-5 in 2013, restricted to products with at least US$10M of global trade so tiny niches don’t crowd out economically meaningful positions. This is the “niche leadership” view: products the country is not just diversified in, but competitive at the frontier.
Figure 5
Mayotte (Overseas France): top 10 HS6 lines with world top-5 rank, 2013
No data available for this chart.
Mayotte (Overseas France) does not currently rank in the world top-5 exporters of any HS6 line above the US$10M threshold in 2013.
Source: CEPII BACI 202501 (retrieved 2026-04-28), HS6 exporter rankings, 2013. Restricted to products with ≥ US$10M world trade. Method: Balassa (1965) RCA taken to its rank-based extreme, top-5 world rank is a stringent specialisation test.
Peer countries by structural profile
Which economies share the closest structural profile to Mayotte (Overseas France)? Each country is placed in a three-dimensional space of economic complexity (ECI), log GDP per capita, and log total exports, each standardised to zero mean and unit variance in 2013. The five nearest neighbours by Euclidean distance in that space are Mayotte (Overseas France)’s closest structural peers, similar on productive-capability, income level, and scale of external trade. This is a trade-specific adaptation of the synthetic-control “donor pool” logic (Abadie, Diamond & Hainmueller 2010).
Figure 6
Mayotte (Overseas France): five closest structural peers, 2013
No data available for this chart.
Insufficient coverage across ECI, WDI GDP-pc, and BACI exports for Mayotte (Overseas France) to identify structural peers.
Method: z-score each dimension (ECI, log GDP-pc, log total exports) across the universe of countries with all three observations in the latest year; rank by Euclidean distance. Abadie, Diamond & Hainmueller (2010) “Synthetic Control Methods for Comparative Case Studies,” JASA 105(490): 493-505.
Margins of export growth
Hummels & Klenow (2005, “The variety and quality of a nation’s exports,” American Economic Review 95(3): 704-723) decomposed cross-country export growth into the extensive margin (exporting more distinct HS6 lines) and the intensive margin (exporting more value per existing line). The decomposition is informative because the two margins respond to different policy levers: trade-cost reductions and discovery push the extensive margin (Melitz 2003), while productivity and demand push the intensive.
Figure 7
Margins of export growth, 2003-2013
Over 10 years, total exports grew at 12.2%/yr. Decomposition: HS6 line count moved from 470 to 350 (extensive margin -2.9%/yr); average value per line moved from $15K to $63K (intensive margin 15.6%/yr). The intensive margin dominates, which by Hummels-Klenow logic indicates growth via deepening sales of existing lines (productivity, scale, or quality).
Method: Hummels & Klenow (2005) AER 95(3): 704-723. Extensive margin = CAGR of distinct HS6 export lines. Intensive margin = CAGR of (total exports / line count). Total CAGR ≈ extensive + intensive (log-linear approximation).
Export basket on the complexity frontier
Figure 8
Mayotte (Overseas France): export value vs. product complexity (PCI), 2013
Each dot is one HS6 product in Mayotte (Overseas France)’s basket with more than US$1M in exports in 2013 (long-tail marginal exports below that floor are filtered out so the scatter is legible; the filter drops many HS6 codes for small economies and few for large ones). Horizontal = export value (log), vertical = Product Complexity Index (PCI). Dots upper-right are high-value, high-complexity products (machinery, precision instruments). Lower-left products carry less productive knowledge per dollar. A basket shifted toward the upper-right correlates with higher ECI and higher income.
Method: PCI from Hausmann-Hidalgo (2009) spectral-eigenvector decomposition of the country-product RCA matrix. Basket restricted to HS6 exports > US$1M in the latest year.
Related
Research index, analytical pieces grounded in BACI flows and gravity covariates
Sector monitor, quarterly deep dives on 12 HS-defined sectors
In 2013, the top three HS sections account for 92% of merchandise exports that map to an HS92 section, a rough measure of sectoral concentration at the coarsest classification level. Shares here are over BACI exports that carry a valid HS92 section mapping, so the five-section series does not sum to 100% of total exports: some HS6 codes (newer HS revisions, non-standard codes) fall outside the 21-section mapping. Note that the top-5 sections are selected by 2013 share, so a section that was dominant in 1995 but has since fallen out of the top 5 will not appear on the chart.
Source: CEPII BACI 202501 (retrieved 2026-04-28) crossed with HS92 section codes. Shares are over the HS6-mapped universe; HS6 codes without an HS92 section fall outside the 21-section totals.
Cell area is proportional to 2013 export value. The treemap shows the top 30 HS chapters (HS2 level) of Mayotte (Overseas France)’s exports; cells are colour-coded by HS section so structurally related chapters share a hue (e.g. minerals, machinery, textiles). The largest chapter, HS 03 , Fish and crustaceans, molluscs and other aquatic invertebrates, represents 85.2% of the top-30chapter total shown. Compared to Figure 2’s five-section trajectory, this view exposes which specific chapters within the dominant sections drive the overall composition.
Source: CEPII BACI 202501 (retrieved 2026-04-28), f.o.b. exports of HS6 codes aggregated to HS2 chapters, 2013. Restricted to top 30 chapters by value.
Cell area is proportional to 2013 import value. The treemap shows the top 30 HS chapters (HS2 level) of Mayotte (Overseas France)’s imports; cells are colour-coded by HS section so structurally related chapters share a hue. The largest import chapter, HS 84 , Machinery and mechanical appliances, boilers, nuclear reactors; parts thereof, represents 12.0% of the top-30 chapter total shown. Read alongside Figure 2b to compare what Mayotte (Overseas France) sells abroad against what it buys in.
Source: CEPII BACI 202501 (retrieved 2026-04-28), c.i.f. imports of HS6 codes aggregated to HS2 chapters, 2013. Restricted to top 30 chapters by value.
Each country is shaded by the bilateral value of Mayotte (Overseas France)’s exports to it in 2013, binned into quintiles. Mayotte (Overseas France) itself is tinted in amber as the origin; white indicates destinations with no recorded bilateral flow. The map makes regional dependency structures visible, neighbours, former colonial ties, bloc partners, in ways a top-list ordering hides.
Partner concentration measures market exposure. The single largest destination absorbs 61% of Mayotte (Overseas France)’s exports; the top 3 together take 83%. Concentrated partner bases make bilateral shocks (trade wars, recessions) first-order.
Source: CEPII BACI 202501 (retrieved 2026-04-28), bilateral exports 2013. Shares are over total exports.
where Mayotte (Overseas France) is exposed
Insufficient supplier-dependency data to rank exposures.
where Mayotte (Overseas France) could grow
Machinery: filtering or purifying machinery, oil or petrol filters for internal combustion engines (842123): proximity 0.03 to current capabilities, complexity PCI +3.04, world market $6.5bn. Ranked by density × complexity (product space 2013). See product →
Transmission components: parts of those components of heading no. 8483, designed for use solely or principally with a particular machine or appliance (848390): proximity 0.02 to current capabilities, complexity PCI +4.10, world market $11.0bn. Ranked by density × complexity (product space 2013). See product →
Harvesting machinery: parts, including parts of threshing machinery, straw or fodder balers and grass or hay mowers (843390): proximity 0.02 to current capabilities, complexity PCI +3.63, world market $5.7bn. Ranked by density × complexity (product space 2013). See product →
Steel, alloy: flat-rolled, width less than 600mm, n.e.s. in heading no. 7226, cold-rolled (722692): proximity 0.01 to current capabilities, complexity PCI +5.96, world market $1.0bn. Ranked by density × complexity (product space 2013). See product →
Dryers: for products n.e.s. in heading no. 8419, not used for domestic purposes (841939): proximity 0.02 to current capabilities, complexity PCI +4.59, world market $2.1bn. Ranked by density × complexity (product space 2013). See product →