Geographic Split: Asia Owns ~54% of World Growth & 71% of Trade Gains

Our April research triangle mapped the growth–trade–price path. The concentration companions then asked how thick the tip of that distribution is — Top-1, Top-3, HHI across PPP stock, growth contribution, and merchandise trade. This post answers a different desk question: where does activity, risk, and capacity sit on the map? Concentration tells you China is ~32% of world PPP growth; geography tells you that Asia as a region clears ~54% of growth contribution and 71% of merchandise trade-volume gains, while North America still anchors ~18% of PPP stock with only ~10% of growth.

The interactive dashboard above is built as a geography lens, not another Top-k ladder. Toggle Regions, Scatter, Trade, and Prices. On Regions, flip the metric among growth contribution, PPP stock, trade-growth, and export value. On Scatter, filter by continent and open Asia’s internal split. The punchline is deliberately two-map. Activity (growth and trade volume) is Asian. Stock weight remains more balanced across Asia, North America, and Europe. Price burden is thickest where growth is not thickest — the United States and large EM weights sit in the elevated CPI band while China prints near-zero inflation beside the largest growth contribution on the board.

The headline map: stock vs flow geography

Read the table as a family of maps, not one slogan. Growth contribution answers which regions create world ΔGDP. Trade-growth answers which regions create merchandise volume. PPP stock answers where weights live. Export value answers where dollar trade clears — and Europe’s ~28% export-value share against ~8% growth contribution is the cleanest reminder that value hubs and growth engines are not the same geography.

Regions: four meters, one continental story

Open Regions. On Growth, Asia prints ~54%, Rest-of-world residual ~21%, North America ~10%, Europe ~8%, LatAm ~4%, MENA ~3%. Flip to PPP stock and Asia softens to ~40% while North America and Europe thicken to ~18% and ~17%. Flip to Trade Δ and Asia jumps to the WTO-disclosed 71% (3.2 pp of 2025 merchandise volume growth). Flip to Export $ and Europe reappears at ~28% beside Asia’s ~32% — a value geography that does not match the volume-growth corridor.

The four-meter stacked compare panel makes the hinge visual: Asia’s bar lengthens as you move from stock → growth → trade-growth, then shortens again on export dollars once European and Middle East value hubs re-enter. Desks that quote “Asia owns the global economy” without specifying which meter are averaging four different maps into one slogan.

Pair this panel with the prior concentration print. Concentration says China’s Top-1 growth share is ~32%. Geography says the region around China — India, ASEAN, Japan/Korea — pushes the continental growth share to ~54%. Both statements are true; they answer different questions.

Scatter: growth engines are not price leaders

Switch to Scatter. The growth-contribution × CPI bubble chart (bubble = PPP stock) puts China in the soft-CPI / thick-growth quadrant: ~0.2% CPI beside ~32% of world growth and ~19% of PPP stock. India sits in the elevated-CPI / thick-growth quadrant (~4.6% CPI, ~15% growth contribution). The United States sits as a large elevated-CPI weight (~15% PPP, 3.4% July CPI) with only ~9% of growth contribution. Germany and Japan cluster near target-adjacent CPI with thin growth contributions and thick export footprints.

Filter the scatter to Asia and open the Asia lens ladder. China alone is ~32% of world growth; India ~15%; ASEAN-5+ ~5%; Japan+Korea ~2%. Flip the Asia lens to Export $ and Japan+Korea thicken relative to India — another reminder that Asia’s growth geography and Asia’s export-value geography are not identical. India’s growth contribution is world-scale; its merchandise export-value share is still modest.

The country table under the scatter is the desk receipt: region tag, PPP %, growth %, export %, CPI. Use it when a client asks “where does the US sit relative to Europe on growth contribution?” without opening a second workbook.

Trade corridors: volume is Asian, value is plural

Open Trade. The WTO March 2026 regional decomposition of 2025 merchandise volume growth still puts Asia at 3.2 pp / 71%, Europe ~15%, North America ~11%, and the rest of the world ~4%. That is the disclosed geography of volume growth — not of export dollars.

The export-value donut tells the second map: Asia ~32%, Europe ~28%, Rest-of-world (including energy exporters) ~28%, North America ~12%. Europe’s value share is nearly double its volume-growth share. MENA and other energy corridors inflate Rest-of-world dollars without owning the volume Δ. The dual bar of 2025 contribution pp versus 2026 merchandise import forecasts keeps Asia’s import path at ~3.3% — still the thickest regional demand forecast in the theme vintage.

This is the geography companion to the August concentration update and the August CPI/PCE vintage. Those posts asked whether Top-1 shares moved and whether US prices cooled. This post asks where the trade corridor still lives while those meters refresh. Asia’s 71% is a regional fact, not a China-only fact — and it remains carried until a newer GTOS vintage re-ranks 2025 contribution shares.

Prices: soft growth, elevated burden

Toggle Prices. Soft / near-zero CPI economies hold ~22% of world PPP GDP but deliver ~34% of world growth — China-led. The elevated band (roughly 3–6% CPI) holds ~38% of PPP GDP and ~28% of growth: the United States, India, and large LatAm weights. High/outlier CPI economies are a thin GDP share with a thicker growth residual once Türkiye and select EM/SSA prints enter.

Regional median CPI ranks Rest-of-world and MENA hottest, LatAm next, North America elevated, Europe nearer target, and Asia softest as a continental median — because China’s near-zero print pulls the Asian median down even while India sits elevated. That is why “Asia is disinflating the world” is half-true: Asia’s growth is soft-CPI led; Asia’s second engine (India) is not.

The hinge for inflation desks: the growth leader is not the price leader. Soft-landing narratives that need China’s world-growth share and a US-led disinflation story to rhyme geographically fail this map. The growth map points east; the elevated-burden map still has a thick North American weight.

Who is exposed — and what would rewrite the map

Exposed on the growth map: factor models that treat “global growth” as a G7 residual while Asia clears ~54% of PPP contribution; US-centric soft-landing decks that underweight India’s second-place contribution; European exporters who confuse their ~28% export-value share with growth-engine status.

Exposed on the trade map: supply-chain desks that treat May–June CPB MoM noise as a regional re-decomposition of Asia’s 71% volume-growth share; importers who underwrite only China risk inside an Asia corridor that includes India, ASEAN, Korea, and Japan on different meters.

Exposed on the price map: inflation debates that imply the growth leader is the price leader; portfolios that treat “elevated CPI GDP share ~38%” as an Asia story when North America is a large piece of that perimeter; EM desks that average Türkiye’s outlier CPI into an Asia median.

Relative winners under current maps: Asian intermediate-goods and AI-goods corridors inside the 71% volume-growth share; India’s growth contribution even when export-value share lags; US demand weight that still anchors PPP stock (~15% alone) while contribution ranks third among sovereigns; European value hubs that clear dollars without clearing growth; desks that keep concentration Top-1s and regional geography in separate columns.

What would rewrite the map: a sustained WEO restatement that puts Asia’s share of world PPP growth below ~40%; Asian merchandise volume-growth contribution falling below ~50% of a new GTOS vintage; Europe’s growth contribution rising toward its export-value share; China CPI re-accelerating toward the world average while keeping its growth weight; US CPI falling clearly below the elevated threshold in a way that shrinks the ~38% elevated-GDP band. None of those clear this geography vintage. The continental architecture is sticky; the meters beside it still refresh.

Caveats and methodology

• Regional PPP stock and growth-contribution shares are estimated roll-ups of IMF WEO April 2026 country weights × growth into continental buckets. Residuals close each perimeter; they are not a second WEO table.
• Merchandise trade-growth geography follows WTO GTOS March 2026 (Asia 71% / 3.2 pp disclosed). Other regional shares are estimated to close the 4.6% world volume-growth print.
• Export-value geography uses ~$26.3T world merchandise exports (2025); re-export hubs (e.g. Netherlands) inflate value versus domestic origin. Services (~$9.6T) excluded.
• CPI regimes and regional medians mix disclosed BLS / Eurostat prints with theme WEO paths; “elevated-CPI GDP share” (~38%) is a burden perimeter, not an additive market share.
• Asia internal split (China / India / ASEAN / JP+KR) is an analytical partition of the Asia growth engine for the scatter panelnot a WTO region code.
• Türkiye’s CPI outlier is hidden on the scatter so the main growth×price cloud stays readable; it remains in the country table.
• Euro-area growth contribution inside Europe is aggregated in theme vintages; this geography post rolls Europe as one continental bucket.
• Pair with Q3 hard-data and July Update for level tapes; this post owns the map question.

The shareable takeaway

In the 2026 geography vintage for growth, trade, and prices, Asia owns ~54% of world PPP growth contribution and 71% of merchandise trade-volume gains, while holding ~40% of PPP stock. North America still anchors ~18% of stock with only ~10% of growth. Europe clears ~28% of export dollars against a thin growth contribution. Soft-CPI Asia delivers disproportionate growth; the elevated-CPI burden (~38% of PPP GDP) remains thick in the United States and large EM weights. Concentration told you the tip is thick. Geography tells you which continents own the tip — and that stock, flow, and price do not share one map.

Related reading: Prior concentration print · Q3 concentration lens · August concentration · August CPI/PCE vintage · July IMF vintage · April research · China–US–India GDP.