10 Largest Remittance-Receiving Countries by Annual Inflow
PlainRemit ranks the top remittance-receiving countries by total annual remittance inflow in USD billions per the World Bank Annual Remittance Data, rendered live from the countries table.
Research period:
Research question
Across the 113 receiving-country records in the World Bank Annual Remittance Data, which economies depend most heavily on inbound remittance flows in absolute dollar terms, and how does the average receive-cost percentage interact with inflow volume?
Methodology
This ranking reflects the data currently in our database, sourced from the agency referenced in the citation below and updated automatically as new filings are processed.
Coverage and exclusions: the source agency occasionally suppresses values for confidentiality, small sample size, or quality control, and suppressed rows are excluded from this ranking rather than shown as zero. If the agency later revises a figure, the revised value replaces the old one automatically the next time our data is refreshed.
Data provenance: we pull each release as it becomes available and normalize it into our database; a later release simply supersedes the one before it, so readers never see a mix of old and new figures on the same page.
Comparability across years: when the source agency revises its release schedule, definitions, or coverage, we note the affected years on the methodology page so readers can compare like-with-like rather than across a changed measurement.
Editorial governance: a named editor reviews every ranking page before publication (see the byline above). If an entity disputes a figure attributed to it, corrections are checked against the official source record before any change is made.
Every number on this page can be traced back to its source by following the entity links and the citation below, so independent verification never requires anything beyond the original public source.
See the methodology page for the complete ETL pipeline, source vintage, and column lineage.
10 Largest Remittance-Receiving Countries by Annual Inflow
Live data: reflects the current dataset
The ranked top 10
Every row below reflects the current 10-record dataset. Reload the page after new data is processed to see the latest values.
| # | Country | Inflow (USD bn) | Sender corridors | Avg receive cost (%) |
|---|---|---|---|---|
| 1 | India | 137.67 | 4 | 4.9% |
| 2 | Mexico | 67.64 | 1 | 5.1% |
| 3 | Philippines | 40.28 | 14 | 3.9% |
| 4 | France | 38.78 | 14 | Not tracked |
| 5 | Pakistan | 34.91 | 12 | 3.1% |
| 6 | China | 31.41 | 15 | 7.1% |
| 7 | Egypt | 29.56 | 7 | 5.5% |
| 8 | Bangladesh | 27.52 | 11 | 7.1% |
| 9 | Guatemala | 21.64 | 1 | 4.9% |
| 10 | Nigeria | 21.29 | 2 | 5.7% |
Source: World Bank, Migration and Remittances Unit, Annual Remittance Inflows and Outflows database. Values reflect the current dataset, refreshed as new filings are processed. World Bank, Migration and Remittances Unit, Annual Remittance Inflows and Outflows database. Values reflect the current dataset, refreshed as new filings are processed.
Findings
Top entity in the ranking
The top-ranked record in this dataset is India, with a value of 137.67 on the Inflow (USD bn) column. The full top-10 set is rendered in the table above. Every value comes directly from the current dataset; no number is hardcoded into this page. When the World Bank, Migration and Remittances Unit publishes a revision, the ranking and the prose around it update automatically.
Distribution shape
The gap between the top-ranked record (137.67) and the 10th-ranked record (21.29) characterizes how concentrated the top of the distribution is. Where the top value is many multiples of the median value of the visible set, the population is highly concentrated, a small number of entities accumulate the bulk of the measured quantity. Where the top and bottom of the visible set are close together, the distribution is relatively flat across the top end. The full distribution beyond this top-10 cut is summarized in the aggregate context section below and explored in the linked entity profiles.
Aggregate context
Across the full population behind this ranking, here are the summary statistics: how many records exist in total, the sum of the ranking metric across all qualifying records, and the mean per-record value. The methodology page documents the exact filter applied (records with null or zero values on the ranking metric are excluded). This aggregate row is computed from the same dataset that powers the ranking above.
Source provenance
The records in this ranking originate from World Bank, Migration and Remittances Unit, specifically the Annual Remittance Inflows and Outflows database. PlainRemit ingests the source vintage published by the agency and keeps this page current, there is no static export carrying stale numbers, and a newly published dataset is reflected here within hours. The methodology page documents the source URL, the vintage date, and the steps applied to prepare the data.
Why this ranking matters
Rankings like this one let a reader scan a population quickly and identify outliers, concentrations, and patterns that warrant deeper investigation. The detail pages linked from each entity in the table above give the full per-entity context: time-series history where available, related metrics from adjacent tables, and links onward to the underlying source records. The methodology page explains how an entity earns inclusion in the dataset and how the ranking column is computed at the source.
What this analysis cannot tell us
Annual inflow and outflow figures are the World Bank's published estimates for the most recent reporting year and are expressed in USD billions. Inflow figures combine formal channel remittances captured in central-bank balance-of-payments data; informal channel transfers (hawala-style networks, in-kind transfers, cash-with-traveller flows) are estimated to add 20-50% to formal-channel volume in many corridors and are not captured here. Average receive-cost percentages are simple means across the sender-side corridors that terminate in the country and are not weighted by per-corridor volume; the figure conflates low-cost high-volume corridors with high-cost low-volume corridors. Outflow figures for sender economies suffer from under-reporting in jurisdictions where formal remittance reporting is incomplete. Year-over-year volume swings can reflect exchange-rate movements between the receiving-country currency and the US dollar reporting unit, not necessarily underlying transfer activity. Country rankings can shift as the World Bank publishes successive annual updates.
Secondary cut from the same source
Top 10 sending economies by total outbound remittance flow
Sources
- World Bank, Annual Remittance Inflows and Outflows - https://www.worldbank.org/en/topic/migrationremittancesdiasporaissues
- World Bank KNOMAD, Migration and Remittances Data - https://www.knomad.org/data/remittances