US Misc. Pacific Isds Exports, Imports & Trade Data
Year
PUS · country profile
US Misc. Pacific Isds
How does US Misc. Pacific Isds’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 2002$4K
imports 2002$0
balance$4K
eci rank#1 / 223
products exported3
data vintageBACI 202501 (2024, ~12 mo lag)
Figure 1
US Misc. Pacific Isds: merchandise exports and imports, 1995-2002
Exports grew from $105.8M in 1995 to $4K in 2002, a CAGR of -76.7%. The merchandise balance sits at $4K, which is 100% 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/PUS 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 US Misc. Pacific Isds’s exports in 2002, plotted back thirty years.
Figure 2
Top-5 HS sections of exports, 1995-2002
In 2002, the top three HS sections account for 100% 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 2002 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.Figure 2b
Export basket by HS chapter, 2002 · top-2 $4K of $4K total
Cell area is proportional to 2002 export value. The treemap shows the top 2 HS chapters (HS2 level) of US Misc. Pacific Isds’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 87 , Vehicles; other than railway or tramway rolling stock, and parts and accessories thereof, represents 82.5% of the top-2chapter 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, 2002. Restricted to top 30 chapters by value.Figure 2c
Import basket by HS chapter, 2002 · top-0 $0 of $0 total
No data available for this chart.
No HS chapter import data for 2002.
Source: CEPII BACI 202501 (retrieved 2026-04-28), c.i.f. imports of HS6 codes aggregated to HS2 chapters, 2002. Restricted to top 30 chapters by value.
Who it sells to
Figure 3a
World map of export destinations, 2002
Figure 3b
Top 12 export destinations, 2002
Partner concentration measures market exposure. The single largest destination absorbs 60% of US Misc. Pacific Isds’s exports; the top 3 together take 100%. Concentrated partner bases make bilateral shocks (trade wars, recessions) first-order.
Source: CEPII BACI 202501 (retrieved 2026-04-28), bilateral exports 2002. Shares are over total exports.
Economic complexity
The Economic Complexity Index (ECI), building on Hidalgo & Hausmann (2009, PNAS) and formalized as the eigenvalue (second-eigenvector) index in the Atlas of Economic Complexity, 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. For a non-linear alternative that ranks fast-diversifying economies differently (China, for instance, sits far higher on fitness than on ECI), compare the Economic Fitness metric of Tacchella et al. (2012).
Figure 4a
US Misc. Pacific Isds: ECI trajectory, 1995-2002
Current ECI: 3.55, ranked #1 of 223 economies in 2002. ECI is zero-centered; positive values mean above-median complexity.
Method: ECI = second eigenvector of the reflections matrix on the BACI RCA≥1 matrix, z-standardized (eigenvalue method of the Atlas of Economic Complexity, Hausmann et al. 2014). Framework: Hidalgo & Hausmann (2009) “The Building Blocks of Economic Complexity,” PNAS 106(26): 10570-10575, whose method of reflections is equivalent to the eigenvector form (Mealy, Farmer & Teytelboym 2019, Science Advances).Figure 4b
Export concentration (HHI) and product count, 1995-2002
2002 HHI = 0.438, equivalent to about 2.3 equally-sized product lines.US Misc. Pacific Isds exports 3 distinct HS6 products. Rising HHI or falling effective-N indicates loss of diversification.
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 US Misc. Pacific Isds ranks in the world top-5 in 2002, 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
US Misc. Pacific Isds: top 10 HS6 lines with world top-5 rank, 2002
No data available for this chart.
US Misc. Pacific Isds does not currently rank in the world top-5 exporters of any HS6 line above the US$10M threshold in 2002.
Source: CEPII BACI 202501 (retrieved 2026-04-28), HS6 exporter rankings, 2002. 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 US Misc. Pacific Isds? 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 2002. The five nearest neighbours by Euclidean distance in that space are US Misc. Pacific Isds’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
US Misc. Pacific Isds: five closest structural peers, 2002
No data available for this chart.
Insufficient coverage across ECI, WDI GDP-pc, and BACI exports for US Misc. Pacific Isds 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 Review95(3): 704-723) introduced the split of a country’s exports into an extensive margin (the set of goods it ships) and an intensive margin (how much of each). In their own measure the extensive margin is nota raw line count: following Feenstra (1994), each category is weighted by its importance in world trade. The figure below applies a simplified, count-based version of that distinction to one country’s export growth over time, so the levels are a proxy, not the Feenstra-weighted index. The two margins still respond to different 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, 1996-2002
Over 6 years, total exports grew at -82.2%/yr. Decomposition: HS6 line count moved from 551 to 3 (extensive margin -58.1%/yr); average value per line moved from $229K to $1K (intensive margin -57.6%/yr). The extensive margin dominates, which under the extensive/intensive logic indicates growth via product discovery and entry into new HS6 lines.
Method: simplified count-based margin decomposition. The extensive/intensive distinction is from Hummels & Klenow (2005) AER 95(3): 704-723, whose own extensive margin is Feenstra (1994) world-trade-weighted, not a line count. Here, 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
US Misc. Pacific Isds: export value vs. product complexity (PCI), 2002
No data available for this chart.
Each dot is one HS6 product in US Misc. Pacific Isds’s basket with more than US$1M in exports in 2002 (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 = product loadings from the second-eigenvector complexity decomposition of the country-product RCA matrix (eigenvalue method of the Atlas of Economic Complexity, Hausmann et al. 2014; framework from Hidalgo & Hausmann 2009, PNAS; eigenvector form equivalent to the method of reflections, Mealy et al. 2019). Basket restricted to HS6 exports > US$1M in the latest year.
Related
Value-chain position, domestic vs foreign value added in US Misc. Pacific Isds’s exports, VAX ratio, and upstream/downstream index (OECD TiVA)
Economic Fitness, the non-linear Tacchella-Pietronero complexity ranking, and how it diverges from ECI
Research index, analytical pieces grounded in BACI flows and gravity covariates
Sector monitor, quarterly deep dives on 12 HS-defined sectors
Each country is shaded by the bilateral value of US Misc. Pacific Isds’s exports to it in 2002, binned into quintiles. US Misc. Pacific Isds 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.
Insufficient supplier-dependency data to rank exposures.
where US Misc. Pacific Isds could grow
Sulphates: of barium (283327): proximity 0.00 to current capabilities, complexity PCI +4.45, world market $67.6m. Ranked by density × complexity (product space 2002). See product →
Vehicles: spark-ignition internal combustion reciprocating piston engine, cylinder capacity exceeding 3000cc (870324): proximity 0.00 to current capabilities, complexity PCI +4.13, world market $85.1bn. Ranked by density × complexity (product space 2002). See product →
Alcohols: polyhydric, 2-ethyl-2- (hydroxymethyl) propane-1,3-diol (trimethylolpropane) (290541): proximity 0.00 to current capabilities, complexity PCI +6.36, world market $102.3m. Ranked by density × complexity (product space 2002). See product →
Copper: plates, sheets and strip, of a thickness exceeding 0.15mm, of copper-nickel base alloys (cupro-nickel) or copper-nickel-zinc base alloys (nickel silver) (740940): proximity 0.00 to current capabilities, complexity PCI +3.55, world market $180.6m. Ranked by density × complexity (product space 2002). See product →
Aldehyde-alcohols (291230): proximity 0.00 to current capabilities, complexity PCI +4.77, world market $35.5m. Ranked by density × complexity (product space 2002). See product →