Browse PlainRemit
All corridors, countries, rankings, guides, and comparison tools in one place.
Explore by Entity
Every tracked sender → receiver route
Costs grouped by source country
Costs grouped by destination country
Cheapest, most expensive, largest flows
Data-backed articles on remittance costs
How we source and present data
Cheapest corridors (avg cost %)
Most expensive corridors (avg cost %)
Largest corridors by volume (USD bn)
Top Corridors by Volume
| Corridor | Avg |
|---|---|
| United States → Mexico | 4.10% |
| United States → India | 3.80% |
| United States → Guatemala | 5.20% |
| United States → Philippines | 4.50% |
| United Arab Emirates → India | 3.70% |
| United States → China | 3.50% |
| United States → Vietnam | 4.80% |
| Saudi Arabia → India | 3.80% |
| United Arab Emirates → Pakistan | 3.40% |
| United Arab Emirates → Philippines | 4.10% |
| United States → El Salvador | 4.80% |
| Saudi Arabia → Pakistan | 3.50% |
| United States → Honduras | 5.50% |
| Saudi Arabia → Philippines | 4.20% |
| Kuwait → India | 4.00% |
| United States → Dominican Republic | 4.30% |
| United Kingdom → India | 4.00% |
| United States → Pakistan | 3.90% |
| United Kingdom → Pakistan | 4.20% |
| United Arab Emirates → Bangladesh | 3.90% |
Why corridor-level pricing matters
International remittances are not a single market. Each sender-receiver corridor has its own competitive dynamics, regulatory environment, payment-rail mix, and currency-margin structure. The headline "global average" of roughly 6.4% obscures wide variation: corridors between high-income digital economies routinely clear under 2%, while several intra-African and small-island corridors still cost senders more than 10% of the transaction value. The World Bank Remittance Prices Worldwide (RPW) panel captures this dispersion every quarter, which is why corridor-level browsing — rather than a single country-level number — is the right unit of analysis.
PlainRemit organizes corridors three ways. By sender country (where you live and pay from): this view groups every destination served from a particular origin, useful for migrants choosing the cheapest channel home. By receiver country (where the money arrives): this view groups every origin into a destination, useful for analysts studying inbound remittance dependency and household-level cost burden. And by ranking: the cheapest, most expensive, and largest-volume tables surface the corridors that matter most to the SDG 10.c policy target.
Each corridor page combines four data layers: the latest quarter's average cost (mean across all RPW-tracked providers), the cheapest single quote available on the corridor that quarter, the count of distinct providers operating on the route, and — where the World Bank bilateral remittance matrix publishes a figure — the estimated annual volume in USD. Where applicable, corridor pages also display a quarter-over-quarter trend so senders can see whether their corridor is improving or worsening.
The methodology section below explains the underlying RPW survey design. In short: each quarter, mystery-shopping researchers contact every tracked provider on a corridor and request a quote for sending USD 200 from origin to destination. The reported cost combines (a) the explicit service fee and (b) the implicit exchange-rate margin (the gap between the provider's offered rate and the interbank mid-market rate at the same instant). Both components are real costs to the sender, which is why both are included.
Methodology
PlainRemit is built on the Source: World Bank Remittance Prices Worldwide (RPW) Database, a quarterly benchmark of money-transfer costs covering the world's largest remittance corridors. Costs are measured as a percentage of a $200 transfer amount, inclusive of service fee and exchange-rate margin — the two levers that determine what a sender actually pays.
Every corridor, country, and ranking page on this site uses the most recent RPW release available at the time of publication. When the World Bank publishes a new quarter, portal data is refreshed within days. Rankings ("cheapest", "most expensive", "largest flows") are deterministic queries against that panel — no editorial weighting, no paid placements, no scoring adjustments.
Comparative benchmarks reference the Source: UN Sustainable Development Goal 10.c target — reduce average remittance transaction costs to below 3% by 2030. Corridor pages flag whether the current corridor meets that target, sits below the global average (~6.4%), or carries an above-average cost.