Charted: South Asia Takes 26% of LMIC Remittance Dollars — US Hosts ~31% of Outbound Origin

Our research ledger asked how age structure and migration show up in money flows. The concentration companion then measured the top of the distribution — India ~19% top-1 recipient share, top-3 ~36%, US→Mexico ~8% of the $685B LMIC remittance perimeter. Banxico vintages (Q3, August T12M) restated Mexico’s books without rewriting that architecture. This post answers a different desk question: where do activity, risk, and capacity sit on the map?

The interactive dashboard above is built as a geography lens. Toggle Destinations, Hosts, Corridors, and Age & risk. On destinations flip share versus dollars; on hosts filter residual origin; on age risk filter dependence by region. The punchline is deliberately multi-map. On destination dollars, South Asia leads at about 26% of the Brief 41 LMIC perimeter. On host / origin geography, the United States alone is roughly 31% of estimated outbound origin. On corridor blocs, US→Latin America clears about 12% — the thickest regional pipe. And on GDP dependence, Tajikistan still prints ~45% remittance/GDP inside Europe & Central Asia, while India sits near 3.4% despite being the absolute dollar champion.

The headline map: four meters, four geographies

Read the table as a family of maps, not one slogan. Destination geography tells you which regions absorb remittance dollars. Host geography tells you which high-income labour markets generate the outbound tip. Corridor geography tells you which pipes carry the densest bilateral stacks. Dependence geography tells you where a shock to a single host labour market becomes a national income event. Averaging these rows into “remittances are concentrated in Mexico” or “India is the remittance story” is a category error — Mexico is a corridor story; India is a destination-dollar story; Tajikistan is a risk story.

Destination regions: South Asia leads the dollar map

Filter Destinations. South Asia — India ($129B), Pakistan ($33B), Bangladesh ($18B) as disclosed Brief 41 anchors — rolls to about $180B, or ~26% of the $685B LMIC universe. Latin America & Caribbean follows near 17% (Mexico’s ~$68B tip plus Central America / Caribbean corridors). East Asia & Pacific sits near 15% on China ($48B) plus the Philippines ($40B) and a thinner Pacific / SE Asia residual. MENA, Sub-Saharan Africa, and Europe & Central Asia fill the mid-single-digit to high-single-digit bands; an analytical residual closes the perimeter.

The destination pie is therefore South Asia–weighted without being a monopoly. A system where one region holds a little more than a quarter of recorded LMIC inflows still leaves LatAm and EAP with roughly another third combined, and a long tail that includes both large absolute recipients (Nigeria, Egypt) and tiny high-dependence islands. That is the geographic twin of the concentration ladder: India remains the largest single country; rolling Pakistan and Bangladesh onto the same regional sheet makes South Asia the thickest destination region without claiming that “most remittances go to South Asia” in a planetary sense.

Toggle the metric to Dollars if you want the absolute ladder rather than shares. The ordering is the same; the visual weight of India’s $129B becomes clearer beside Mexico’s corridor-driven second place. China’s third-place absolute print still reminds that bridge economies can sit high on dollars and low on GDP dependence at the same time — a point the Age & risk scatter makes geometric.

Host geography: the United States as origin tip

Open Hosts. Estimated outbound origin puts the United States near 31% of the $685B perimeter (~$212B), ahead of the GCC labour-export bloc (~14%) and Western Europe (~11%). Russia & CIS hosts are small on dollars (~3%) but oversized on destination risk for Central Asia. An “other high-income” bucket and a large residual / South–South / untracked origin slice close the map — a reminder that KNOMAD corridor tips are a lower bound on true bilateral geography.

Filter to Hosts only to drop the residual and see the disclosed tip more cleanly. The host-age companion chart then shows why demographic cash flows are not just a migration story: Western Europe’s median old-age dependency sits in the mid-30s, the US in the high-20s, and GCC hosts near the single digits. Remittance sending capacity and public aging capacity are related but not identical maps. Europe can be both a major remittance host and the OECD public-pension tip; the Gulf can be a major remittance host while remaining demographically young.

Corridor blocs: US→LatAm as the thickest pipe

Switch to Corridors. Regional corridor blocs — not single bilaterals — answer the plumbing question at map scale. US → Latin America leads at about 12% of the LMIC perimeter (~$82B), with US→Mexico alone still ~$52B inside that bloc (see our global remittance corridors post for bilateral detail). GCC → South Asia follows near 8.5% — the labour-stack twin of India’s destination lead. US→EAP and US→South Asia add mid-single-digit pipes; Europe→Africa/MENA and Russia→Central Asia are thinner on dollars but politically and macroeconomically loud when hosts tighten visas or oil-linked employment.

The meter strip beside the corridor ladder puts recipient, host, corridor, and dependence shares on one axis so desks can see the category error in one glance: South Asia’s 26% destination share and the US’s 31% host share are not the same object as Tajikistan’s 45% remittance/GDP print. Corridor concentration and recipient concentration already diverge in the concentration lens; geography makes the divergence spatial.

Age & risk: dollar giants ≠ dependence giants

Open Age & risk. The dependence × age scatter puts remittance/GDP on the x-axis and old-age dependency on the y-axis, with bubble size proportional to √dollar volume. Tajikistan, Nicaragua, Lebanon, Honduras, and peers sit far right — high household reliance, still-young age structures. India, Mexico, and China sit left — large absolute dollars, modest (or tiny) GDP shares. Filter by LatAm, ECA, or S. Asia to isolate regional clusters. The geometry is the post’s second hinge: risk geography is not dollar geography.

The host pension × age panel flips the camera to sending countries. Italy’s public pension burden near 16.3% of GDP and Japan’s old-age dependency near 54 sit in a different quadrant from Saudi Arabia’s young host demography. OECD average public pension spending is about 8.1% of GDP — Italy roughly 2× that tip. Remittance corridors therefore run from aging or mid-aging public balance sheets (US, Europe, Japan) and from young petro-labour hosts (GCC) into young recipient regions. Age shows up in money flows twice: as the sending labour force that generates remittances, and as the host fiscal burden that competes with every other claim on public budgets.

How this complements concentration and Banxico vintages

Pair this map with the August concentration vintage when you need top-1 / top-3 shares after Banxico’s T12M restatement, and with the August update when you need the monthly streak-break and real purchasing-power path. Geography does not restate Mexico’s books; it asks whether Mexico’s second-place country rank is better understood as a US→LatAm corridor region story — which it is — and whether India’s first-place country rank is better understood as a South Asia destination region story — which it also is.

The research scatter (dependency × remittance) in the 2026 research post already hinted that young, remittance-heavy economies and old, pension-heavy hosts live on different axes. This lens turns that insight into explicit regional shares so a desk can say “South Asia is ~26% of destination dollars” and “US hosts ~31% of outbound origin” without pretending those sentences answer the Tajikistan risk question.

Caveats and what this map is not

• Regional recipient shares roll Brief 41 country anchors into World Bank-style destination regions plus an analytical residual that closes the $685B perimeterthey are geography reconstructions, not a new World Bank microdata extract.
• Host / origin shares estimate outbound geography from KNOMAD corridor dollars against the same perimeter; tracked corridors are a lower bound, and the residual / South–South slice is intentionally large.
• Corridor blocs aggregate bilaterals into regional pipes (US→LatAm, GCC→South Asia, etc.) for map readability; they are not substitutes for the bilateral ladder in the corridors companion.
• Dependence × region points use Brief 41 GDP-dependence ranks with UN WPP old-age dependency; bubble sizes are √dollar heuristics, not formal weights.
• Host pension % GDP figures follow OECD Pensions at a Glance (Italy 16.3% disclosed; peers estimated where noted) and are not remittance outflows.
• Banxico FY / T12M restatements of Mexico’s print move the second-largest country dollar slightly; they do not by themselves rewrite the regional destination ordering at the precision we claim here.

What to watch next

Watch three geography meters, not one. First, whether South Asia’s destination share holds if Gulf labour demand softens — a GCC→South Asia corridor shock is a regional event, not only an India event. Second, whether US→LatAm corridor dollars track US labour-market and enforcement news more tightly than Brief 41’s annual recipient ladder suggests. Third, whether Europe’s aging public-pension tip and still-material outbound remittance role continue to coexist as fiscal politics tighten. For bilateral plumbing keep the corridors post open; for top-of-distribution shares keep the concentration series open; for Mexico’s official books keep the August vintage open.

Related reading: Concentration lens (Brief 41) · Aug concentration / T12M · Research ledger · Global remittance corridors.