TOP 10 Countries by Remittance Inflows per Capita (2025)
Countries by Remittance Inflows per Capita: 2025 Snapshot Based on Latest Available World Bank Inputs
This ranking compares countries and territories by annual personal remittance inflows per resident, measured in current US dollars per person. Higher values rank higher because the metric shows how much cross-border household income arrives relative to the resident population.
Thank you for reading this post, don't forget to subscribe!The table is a compiled research dataset based on four source layers: World Bank personal remittances received in current US dollars, World Bank population, KNOMAD/World Bank remittance documentation and the World Bank remittances-as-GDP series used only for interpretation. Row-level source and method notes are shown in the ranking table.
The per-capita values are marked as modeled_projection because this page calculates a per-resident indicator from official input series. The rows are not institutional forecasts. They use the latest available official input years, mostly 2024 and Bermuda 2023, with a 0% carry-forward rule for the 2025 analytical snapshot. The dataset contains 0 official_value rows, 0 official_forecast rows and 10 modeled_projection rows.
About $31,480 per resident, far above every other confirmed row in this table.
About $620 per resident among the 10 rows retained after source and method checks.
Top N equals the number of confirmed entries. No country or territory is added without source year, denominator and method note.
official_value / official_forecast / modeled_projection. Unit: current USD per resident.
Overview
Personal remittances are cross-border transfers and compensation-related flows received by residents from nonresidents. A total-remittance ranking usually favours large economies because larger populations and larger diasporas generate larger absolute flows. A per-capita ranking answers a narrower question: where are incoming remittances most intense relative to the resident population?
The top of this snapshot is shaped by small population denominators, financial-centre effects and island-economy migration patterns. Bermuda is an extreme outlier because a large reported inflow is divided by a small resident population. Tonga, Samoa and Cabo Verde show a more familiar remittance-dependence pattern, where diaspora transfers can matter for household income, consumption and foreign-exchange availability.
High-income jurisdictions such as Luxembourg, the Faroe Islands and Iceland need a different reading. Their values can be high in US dollars per resident while remittances remain less central to the overall income base than in smaller migration-dependent economies. For that reason, this ranking should be read together with remittances as a share of GDP, migration corridors, household income data and transfer-cost indicators.
Highest included remittance inflows per resident
The short table highlights the five highest confirmed rows. Values are rounded to the nearest ten US dollars per resident. Rank direction is descending: a higher calculated inflow per resident receives a higher rank.
| Rank | Entity | Value | Source / Method Note |
|---|---|---|---|
| 1 | Bermuda | $31,480 | modeled_projectionBase year: 2023. Base value: calculated per-resident value from World Bank remittances received and World Bank population inputs. Formula: remittances / population. Assumption: 0% carry-forward. |
| 2 | Luxembourg | $3,620 | modeled_projectionBase year: 2024. Base value: calculated per-resident value from World Bank remittances received and population inputs. Formula: remittances / population. Assumption: 0% carry-forward. |
| 3 | Faroe Islands | $2,960 | modeled_projectionBase year: 2024. Base value: calculated per-resident value from official input series. Formula: remittances / population. Small-population denominator noted. |
| 4 | Tonga | $2,360 | modeled_projectionBase year: 2024. Base value: calculated per-resident value from official input series. Formula: remittances / population. Read with remittances as % of GDP. |
| 5 | New Caledonia | $2,100 | modeled_projectionBase year: 2024. Base value: calculated per-resident value from official input series. Formula: remittances / population. Territorial comparability note applies. |
Unit: current US dollars per resident. Formula: personal remittances received, current US$ / total population. The 2025 snapshot uses latest available official 2023–2024 inputs and a 0% carry-forward rule.
Chart
The chart compares all 10 confirmed entries. Bermuda is scaled to 100% of the chart width, which compresses the rest of the distribution. That compression is the main visual finding: per-resident remittance intensity is extremely skewed at the top.
Methodology
The metric is annual personal remittance inflows per resident, expressed in current US dollars. The calculation divides published personal remittances received by the resident population denominator. Rank direction is descending, so larger per-resident inflows rank higher.
The target year is a 2025 analytical snapshot, not a claim that every country or territory has a final official 2025 value. The latest complete inputs for the included rows are 2023 or 2024 depending on the entity and indicator. Each row is marked modeled_projection because the per-capita result is calculated from official inputs and carried forward unchanged to the snapshot year.
Formula
Remittance inflows per resident = personal remittances received in current US dollars / total population.
Projection rule
The calculated base-year per-resident value is carried forward to the 2025 snapshot with a 0% growth parameter. No growth rate is applied.
Inclusion rule
Rows are included only where remittance inflow value, population denominator, source layer, base year, target year and method note are available.
What the metric excludes
It does not measure household distribution, transfer costs, informal flows, poverty reduction, GDP dependence, remittance corridors or total diaspora size.
Source hierarchy prioritizes official international datasets over commercial aggregators. World Bank WDI remittance and population series are the core data inputs. KNOMAD/World Bank documentation is used to interpret the remittance concept and its limits. The World Bank remittances-as-GDP series is not used to rank entities, but it helps distinguish high per-capita dollar values from macroeconomic dependence.
Conflicts are not averaged. If a row lacks a usable source year, denominator, base value or method note, it is excluded from the ranking. Values are rounded to the nearest ten US dollars per resident. Rounding can affect small differences near the lower end of the table, but it does not affect the main finding that Bermuda is an extreme outlier.
This metric should not be mixed with remittances as a percentage of GDP, total remittances, PPP-adjusted income, household-level transfer data or population-weighted regional averages. Small territories and financial centres can appear very high because the denominator is small, even when the social meaning of remittances differs from migration-dependent island economies.
Main ranking table
Use the table controls to find an entity, compare regions and switch the visible subset without changing the underlying ranking. The source/method column records the base year, value status and calculation rule for each row.
| Rank | Entity | Value | Source / Method Note |
|---|---|---|---|
| 1 | Bermuda | $31,480 | modeled_projectionBase year 2023; base value $31,480 per resident calculated from World Bank WDI personal remittances received and World Bank population inputs. Target year 2025. Formula: remittances / population. Growth parameter: 0% carry-forward. Source: World Bank WDI; KNOMAD definition note. |
| 2 | Luxembourg | $3,620 | modeled_projectionBase year 2024; base value $3,620 per resident calculated from World Bank WDI personal remittances received and population inputs. Target year 2025. Formula: remittances / population. Growth parameter: 0% carry-forward. Note: high-income financial-centre context. |
| 3 | Faroe Islands | $2,960 | modeled_projectionBase year 2024; base value $2,960 per resident calculated from World Bank WDI inputs. Target year 2025. Formula: remittances / population. Growth parameter: 0% carry-forward. Note: small-population denominator. |
| 4 | Tonga | $2,360 | modeled_projectionBase year 2024; base value $2,360 per resident calculated from World Bank WDI inputs. Target year 2025. Formula: remittances / population. Growth parameter: 0% carry-forward. Note: read with remittances as % of GDP. |
| 5 | New Caledonia | $2,100 | modeled_projectionBase year 2024; base value $2,100 per resident calculated from World Bank WDI inputs. Target year 2025. Formula: remittances / population. Growth parameter: 0% carry-forward. Note: territorial comparability applies. |
| 6 | Samoa | $1,290 | modeled_projectionBase year 2024; base value $1,290 per resident calculated from World Bank WDI inputs. Target year 2025. Formula: remittances / population. Growth parameter: 0% carry-forward. Note: diaspora-linked household-income pattern. |
| 7 | Lebanon | $1,150 | modeled_projectionBase year 2024; base value $1,150 per resident calculated from World Bank WDI inputs. Target year 2025. Formula: remittances / population. Growth parameter: 0% carry-forward. Note: crisis and exchange-rate context affects interpretation. |
| 8 | Guyana | $660 | modeled_projectionBase year 2024; base value $660 per resident calculated from World Bank WDI inputs. Target year 2025. Formula: remittances / population. Growth parameter: 0% carry-forward. Note: rounded to nearest ten dollars. |
| 9 | Cabo Verde | $640 | modeled_projectionBase year 2024; base value $640 per resident calculated from World Bank WDI inputs. Target year 2025. Formula: remittances / population. Growth parameter: 0% carry-forward. Note: island-economy migration context. |
| 10 | Iceland | $620 | modeled_projectionBase year 2024; base value $620 per resident calculated from World Bank WDI inputs. Target year 2025. Formula: remittances / population. Growth parameter: 0% carry-forward. Note: high per-capita value does not mean high dependence. |
Table note: the ranking contains the 10 rows that passed the source, denominator, base-year and method-note checks. It should not be read as a Top 20, Top 50 or Top 100 list.
Insights
Key Insight
Bermuda is not simply first; it is an extreme outlier. Its calculated value is nearly nine times Luxembourg’s value and far above the island economies below it.
Notable Pattern
Small populations dominate the ranking because a moderate or large absolute inflow can become very large when divided across a limited resident base.
Regional Concentration
The Pacific appears repeatedly through Tonga, New Caledonia and Samoa, while Europe appears through Luxembourg, the Faroe Islands and Iceland. These groups should not be interpreted in the same way.
Outlier
Bermuda’s value is so far above the rest that it changes the visual scale of the chart. Its base-year note should be checked before comparing it with larger economies.
The ranking separates two different stories that can look similar in a per-capita table. In Tonga, Samoa and Cabo Verde, remittances are tied to migration networks and household support. In Luxembourg, Iceland and the Faroe Islands, high dollar values can reflect high-income, small-population contexts where the same amount per resident does not necessarily carry the same social meaning.
What It Means
The ranking helps separate remittance intensity from remittance scale. Large economies may receive far more money in total, while smaller economies can rank higher once inflows are divided by resident population.
The indicator is not a direct measure of household welfare. A country can receive a high amount per resident while the money is unevenly distributed, concentrated in specific families or small corridors, or less important relative to GDP. It also does not show how much money migrants paid in transfer fees or how much arrives through informal channels.
The status label matters. Every row here is a modeled_projection because the table calculates a per-resident value from official inputs and carries it forward to the 2025 snapshot. That makes the method transparent, but it should not be read as an official 2025 forecast from the World Bank, KNOMAD or a national statistics office.
FAQ
What exactly does remittance inflow per capita measure?
It measures personal remittances received in current US dollars divided by the resident population. It turns a total inflow into a per-resident intensity indicator.
Is this an official World Bank ranking?
No. The remittance and population inputs come from World Bank series, but the per-capita ranking is a calculated dataset. That is why each row is marked modeled_projection rather than official_value.
Why is Bermuda so far ahead?
Bermuda combines a very large reported remittance inflow with a small population denominator. In a per-capita ranking, that combination creates an extreme value and makes direct visual comparison with larger economies difficult.
Why not rank by total remittance inflows?
Total inflows answer a different question. They usually put large economies near the top because of population size and migration networks. Per-capita inflows show intensity relative to resident population.
Does a high value mean a country is dependent on remittances?
Not necessarily. Dependence is better tested with remittances as a percentage of GDP, household survey data and external-account indicators. High current dollars per resident can also reflect small population size or high-income financial flows.
Why are the values called a 2025 snapshot if the base years are 2023 or 2024?
The page uses the latest available official input years and applies a 0% carry-forward rule to create a 2025 analytical snapshot. It does not claim that final official 2025 country data are available for every row.
Can the ranking change when new data are released?
Yes. Revisions to remittance inflows, population denominators or entity coverage can change both values and ranks, especially where small population bases magnify changes in the numerator.
Sources
The page uses official and international sources for the input data and documentation. Source links are listed here rather than repeated inside each table cell.
World Bank WDI — Personal remittances, received
Core numerator source for personal remittances received in current US dollars. Used to calculate the remittance inflow value before dividing by population.
World Bank WDI — Population, total
Core denominator source for resident population. Used to convert total remittance inflows into current US dollars per resident.
KNOMAD / World Bank — Migration and remittances documentation
Definition and context source for understanding remittance concepts, reporting limits and the role of remittances in migration-linked household income.
World Bank WDI — Personal remittances received as % of GDP
Interpretation source used to distinguish high per-resident dollar values from macroeconomic dependence on remittance inflows.
