Brain Drain vs. Brain Gain: How Migration Shapes Economies
Brain Drain vs. Brain Gain: How Migration Shapes Economies
Brain drain is the loss of highly educated workers through emigration. Brain gain occurs when migration creates offsetting or larger benefits through productive use of skills, remittances, knowledge transfers, diaspora networks or return migration. The same migration flow can therefore create both effects at the same time.
This ranking measures the OECD high-skilled emigration rate among the tertiary-educated population aged 15 and over. It compares tertiary-educated emigrants from each origin country who live in OECD destinations with the corresponding tertiary-educated population linked to that origin.
Coverage includes 15 confirmed countries, measured in percent and ranked descending, with higher high-skilled emigration rates ranking higher. The dataset contains 15 official_value rows, 0 calculated_value, 0 official_forecast and 0 modeled_projection.
The ranking uses exact OECD DIOC 2015/16 country values published in OECD Social, Employment and Migration Working Paper No. 239, Table 7. The provisional OECD DIOC 2020/21 release is used only for newer directional context and is not mixed into the 2015/16 ranking. This is a compiled research dataset based on five primary OECD and World Bank sources, with row-level source and method notes shown in the ranking table.
Guyana ranks first in the published OECD DIOC 2015/16 high-skilled emigration table.
Rwanda is 15th among the confirmed high-rate countries shown here; this is not the global minimum.
All ranking rows are exact values directly published from OECD DIOC 2015/16.
Exact tabulated country rates; provisional DIOC 2020/21 evidence is shown only as later context.
15 official_value, 0 calculated_value, 0 official_forecast and 0 modeled_projection.
The provisional later DIOC release again shows stronger emigration among tertiary-educated than low-educated populations in most origin countries.
Brain drain is about skilled emigration, not migrant numbers
A country can have millions of emigrants without losing a large share of its skilled workforce, while a much smaller country can experience substantial human-capital exposure when a large fraction of its tertiary-educated population lives abroad. Absolute migrant stock is therefore not a standalone measure of brain drain.
Brain drain
The World Bank treats brain drain as a development problem when the cost of losing highly qualified workers exceeds benefits such as remittances and knowledge spillovers. The risk can be especially important when scarce professionals leave essential sectors such as health care.
Brain gain
Migration can also increase welfare when migrants' skills match demand in destination economies and when origin countries benefit through remittances, knowledge transfers, diaspora connections, skill formation or productive return migration.
How to read this ranking: a high value signals greater exposure to high-skilled emigration toward OECD destinations among the tertiary-educated population aged 15+. It does not prove that migration reduced GDP, productivity or welfare, and it is not a net economic-loss score.
Why educational selectivity matters
OECD DIOC data show that migration is often positively selected by education. In the 2015/16 analysis, the overall high-skilled emigration rate toward OECD countries was 16%, compared with 5% for low-educated people. The provisional 2020/21 update again shows tertiary-educated emigration rates above low-educated rates for most origin countries.
The educational composition of migration has also shifted. Between 2000/01 and 2020/21, OECD reports that the share of migrants with tertiary education increased from 28% to 38% among migrants born outside the OECD and from 22% to 34% among those born in another OECD country.
Top 10 origin countries by high-skilled emigration rate
OECD's published 2015/16 ranking is dominated by smaller origin economies in the Caribbean, Africa, the Pacific and Southeast Europe. Guyana records the highest confirmed rate at 70.8%, followed by Trinidad and Tobago at 65.6% and Mauritius at 62.5%.
High-skilled emigration rate among the tertiary-educated population aged 15+, OECD DIOC 2015/16
| Rank | Entity | Value | Source / method note |
|---|---|---|---|
| 1 | Guyana | 70.8% | official_value; OECD DIOC 2015/16; Working Paper No. 239, Table 7; tertiary-educated population aged 15+; OECD destinations. |
| 2 | Trinidad and Tobago | 65.6% | official_value; OECD DIOC 2015/16; Working Paper No. 239, Table 7; tertiary-educated population aged 15+; OECD destinations. |
| 3 | Mauritius | 62.5% | official_value; OECD DIOC 2015/16; Working Paper No. 239, Table 7; tertiary-educated population aged 15+; OECD destinations. |
| 4 | Liberia | 57.0% | official_value; OECD DIOC 2015/16; Working Paper No. 239, Table 7; tertiary-educated population aged 15+; OECD destinations. |
| 5 | Jamaica | 50.3% | official_value; OECD DIOC 2015/16; Working Paper No. 239, Table 7; tertiary-educated population aged 15+; OECD destinations. |
| 6 | Haiti | 48.7% | official_value; OECD DIOC 2015/16; Working Paper No. 239, Table 7; tertiary-educated population aged 15+; OECD destinations. |
| 7 | Fiji | 39.2% | official_value; OECD DIOC 2015/16; Working Paper No. 239, Table 7; tertiary-educated population aged 15+; OECD destinations. |
| 8 | Albania | 38.1% | official_value; OECD DIOC 2015/16; Working Paper No. 239, Table 7; tertiary-educated population aged 15+; OECD destinations. |
| 9 | Bosnia and Herzegovina | 34.0% | official_value; OECD DIOC 2015/16; Working Paper No. 239, Table 7; tertiary-educated population aged 15+; OECD destinations. |
| 10 | Guinea-Bissau | 32.4% | official_value; OECD DIOC 2015/16; Working Paper No. 239, Table 7; tertiary-educated population aged 15+; OECD destinations. |
Higher values rank higher. The metric covers tertiary-educated people aged 15+ from each origin who live in OECD destinations. Skilled migration toward non-OECD destinations is outside this ranking.
Chart: Top 15 confirmed high-skilled emigration rates
Six countries in the confirmed Top 15 have rates above 40%, while all 15 exceed 25%. The values are the exact published 2015/16 country rates used in the ranking.
Methodology
This is a compiled research dataset. OECD DIOC supplies every numeric ranking value, while later OECD material and World Bank sources provide methodological and economic context. The ranking uses high-skilled emigration rates from OECD DIOC 2015/16 published in OECD Social, Employment and Migration Working Paper No. 239, Table 7. The relevant population is aged 15 and over, and tertiary educational attainment is used as the high-skilled category.
Metric
Emigration rate among tertiary-educated people aged 15+ from an origin country to OECD destination countries.
Unit and direction
Percent. Ranking is descending: a larger share of the relevant tertiary-educated origin population living in OECD destinations ranks higher.
Ranking year
2015/16. These are exact country values tabulated from OECD DIOC rather than estimates extracted from a chart.
Value status
All 15 rows are official_value because the numerical rates are directly published from OECD DIOC. No country rate is calculated, extrapolated or forecast by StatRanker.
2020/21 update
The provisional OECD DIOC 2020/21 release provides newer directional evidence. It is used only for context and is not mixed into the 2015/16 country ranking.
Coverage limit
Only emigrants living in OECD destinations enter the measure. Skilled migration to non-OECD destinations is outside the ranking metric.
Inclusion, exclusions and source hierarchy
Inclusion requires an exact country value published in OECD DIOC 2015/16 Table 7. Countries outside the published Top 15 are not added, estimated or assigned inferred values. No missing value is imputed. For ranking values, the directly published OECD DIOC table has priority over later contextual material, secondary databases or interpretive sources. World Bank material is used only to explain the economic meaning of brain drain and brain gain and does not alter any country value or rank.
Conflict handling and rounding
Conflicting values are not averaged. If a different value appears in a secondary or contextual source, the exact OECD DIOC Table 7 value remains the ranking value for this 2015/16 dataset. Ranking uses the published one-decimal percentages without additional estimation. Chart widths are visual scaling only and do not affect the raw values or rank order.
How the rate is defined
For an education-specific emigration rate, the numerator is tertiary-educated emigrants aged 15+ from the origin country who live in OECD countries. The denominator combines those emigrants with the corresponding tertiary-educated resident population aged 15+ in the origin country. The published percentage is therefore a share of the relevant origin population, not a share of all emigrants.
Important limitation: high-skilled emigration is not identical to the loss of domestically trained professionals. OECD notes that some people classified as highly educated emigrants may have obtained tertiary education after moving abroad.
Why the 2015/16 table is retained
The provisional OECD DIOC 2020/21 brief contains newer aggregate evidence and a country scatter plot, but it does not tabulate the exact country values represented by every point. This page therefore retains the exact published 2015/16 Top 15 instead of assigning invented precision to positions read from a chart.
What this metric does not measure
It does not measure GDP loss, productivity loss, fiscal loss, remittance income, return migration, knowledge transfer, the occupational importance of emigrants or the quality of skill matching abroad. Those factors determine whether high-skilled emigration ultimately produces net brain drain, brain gain or a mixture of both.
Main ranking: high-skilled emigration exposure
The table contains the 15 highest country rates directly reported from OECD DIOC 2015/16 in OECD Social, Employment and Migration Working Paper No. 239, Table 7. Search, filter and sorting controls change only the presentation; the original rank always follows the raw published percentage.
Top 15 high-skilled emigration rates among tertiary-educated people aged 15+, OECD DIOC 2015/16
| Rank | Entity | Value | Source / method note |
|---|---|---|---|
| 1 | Guyana | 70.8% | official_value; OECD DIOC 2015/16; Working Paper No. 239, Table 7; tertiary-educated population aged 15+; OECD destinations. |
| 2 | Trinidad and Tobago | 65.6% | official_value; OECD DIOC 2015/16; Working Paper No. 239, Table 7; tertiary-educated population aged 15+; OECD destinations. |
| 3 | Mauritius | 62.5% | official_value; OECD DIOC 2015/16; Working Paper No. 239, Table 7; tertiary-educated population aged 15+; OECD destinations. |
| 4 | Liberia | 57.0% | official_value; OECD DIOC 2015/16; Working Paper No. 239, Table 7; tertiary-educated population aged 15+; OECD destinations. |
| 5 | Jamaica | 50.3% | official_value; OECD DIOC 2015/16; Working Paper No. 239, Table 7; tertiary-educated population aged 15+; OECD destinations. |
| 6 | Haiti | 48.7% | official_value; OECD DIOC 2015/16; Working Paper No. 239, Table 7; tertiary-educated population aged 15+; OECD destinations. |
| 7 | Fiji | 39.2% | official_value; OECD DIOC 2015/16; Working Paper No. 239, Table 7; tertiary-educated population aged 15+; OECD destinations. |
| 8 | Albania | 38.1% | official_value; OECD DIOC 2015/16; Working Paper No. 239, Table 7; tertiary-educated population aged 15+; OECD destinations. |
| 9 | Bosnia and Herzegovina | 34.0% | official_value; OECD DIOC 2015/16; Working Paper No. 239, Table 7; tertiary-educated population aged 15+; OECD destinations. |
| 10 | Guinea-Bissau | 32.4% | official_value; OECD DIOC 2015/16; Working Paper No. 239, Table 7; tertiary-educated population aged 15+; OECD destinations. |
| 11 | Cuba | 31.1% | official_value; OECD DIOC 2015/16; Working Paper No. 239, Table 7; tertiary-educated population aged 15+; OECD destinations. |
| 12 | Mozambique | 29.7% | official_value; OECD DIOC 2015/16; Working Paper No. 239, Table 7; tertiary-educated population aged 15+; OECD destinations. |
| 13 | Somalia | 29.4% | official_value; OECD DIOC 2015/16; Working Paper No. 239, Table 7; tertiary-educated population aged 15+; OECD destinations. |
| 14 | Congo | 26.4% | official_value; OECD source label “Congo”; DIOC 2015/16; Working Paper No. 239, Table 7; tertiary-educated population aged 15+. |
| 15 | Rwanda | 26.0% | official_value; OECD DIOC 2015/16; Working Paper No. 239, Table 7; tertiary-educated population aged 15+; OECD destinations. |
This compiled research dataset uses OECD DIOC for every ranking value; World Bank sources are contextual only and do not alter the ranking. The broader page combines OECD migration measurement with World Bank analysis of brain drain, skill matching, remittances and knowledge transfer. Regional labels are editorial navigation categories and are not part of the OECD variable.
Insights from the high-skilled emigration ranking
Key Insight
Guyana, Trinidad and Tobago and Mauritius all exceed 60% in the published ranking. Their rates are far above the 16% overall high-skilled emigration rate reported in the OECD 2015/16 analysis.
Notable Pattern
Smaller origin economies are prominent near the top. A similar number of skilled emigrants can represent a much larger share of the tertiary-educated population in a small country than in a large one.
Regional Concentration
Seven of the 15 confirmed entries are African origin countries, four are Caribbean countries, two are European, one is in the Pacific and Guyana is in South America.
Outlier
Guyana's 70.8% rate is almost three times the 26.0% rate of Rwanda, which ranks 15th in this already high-emigration subset.
What high-skilled migration means for economies
A high emigration rate signals exposure, not automatic economic loss
Losing a large share of tertiary-educated workers can reduce the domestic supply of scarce skills, particularly where training capacity is limited. The effect can be more serious when emigrants work in essential occupations or when replacing them requires many years of education and professional training.
The World Bank does not treat every high-skilled departure as a pure loss. Whether migration becomes net brain drain depends on the balance between the cost of losing workers and gains generated through remittances, knowledge spillovers, diaspora networks and other channels.
Brain gain depends on how skills are used
Destination economies gain more when migrants' skills and qualifications match labour-market demand and can be used productively. Recognition of qualifications, access to formal employment and occupational matching can therefore influence the economic return from skilled migration.
Origin countries can benefit without permanent return
Migrants can maintain economic links with their countries of origin through remittances, professional networks, investment and knowledge transfer. Return migration can add another channel by bringing accumulated skills and experience back into the domestic economy.
The core distinction: the high-skilled emigration rate measures how much of an origin country's tertiary-educated population aged 15+ lives in OECD destinations. Brain drain or brain gain describes the economic consequences of that movement.
Related migration and human-capital rankings
These StatRanker pages answer different migration and human-capital questions and are kept separate from the skilled-emigration metric used here.
FAQ
What is brain drain?
Brain drain is high-skilled emigration that reduces human capital available to an origin economy. Its economic importance depends on the skills lost, the ability to replace them and the benefits migration generates for the origin country.
What is brain gain?
Brain gain occurs when migration produces human-capital or development benefits through productive skill matching, remittances, knowledge transfers, diaspora networks, increased incentives to acquire education or return migration.
Is a high-skilled emigration rate the same as economic damage?
No. The rate measures the share of the relevant tertiary-educated population aged 15+ from an origin country living in OECD destinations. It does not measure the net economic effect of migration.
Why does the country ranking use 2015/16 rather than 2020/21?
OECD DIOC 2015/16 provides exact country-level Top 15 rates published in Working Paper No. 239, Table 7. The provisional 2020/21 release provides updated aggregate evidence and a country scatter plot, but does not tabulate the exact country values represented by every point. This page does not infer precise rankings from chart positions.
Does the ranking cover skilled emigrants everywhere in the world?
No. It measures emigrants living in OECD countries. For origins whose skilled migrants predominantly move to non-OECD destinations, the rate can understate total skilled emigration.
Were all highly educated emigrants trained in their origin country?
Not necessarily. OECD notes that some people counted as high-skilled emigrants may have completed tertiary education after moving abroad. The measure should therefore not be interpreted as a direct count of domestically trained graduates lost.
Which country has the highest confirmed high-skilled emigration rate in this dataset?
Guyana ranks first in the published OECD DIOC 2015/16 Top 15 with a rate of 70.8%, followed by Trinidad and Tobago at 65.6% and Mauritius at 62.5%.
Sources
This compiled research dataset combines one OECD numeric ranking source with later OECD methodological context and World Bank interpretive sources. All ranking values come from OECD DIOC 2015/16 as published in OECD Social, Employment and Migration Working Paper No. 239. The provisional 2020/21 OECD release is used only for later directional context, while World Bank material provides the economic framework for distinguishing brain drain from brain gain.
OECD — A Global Profile of Emigrants to OECD Countries
Primary numeric ranking source. OECD Social, Employment and Migration Working Paper No. 239, Table 7, publishes the exact DIOC 2015/16 Top 15 high-skilled emigration rates used in the ranking.
OECD — Database on Immigrants in OECD and non-OECD Countries
Official DIOC dataset hub covering destination, origin, education, demographic and labour-market characteristics and identifying the 2020/21 full dataset as provisional.
https://www.oecd.org/en/data/datasets/database-on-immigrants-in-oecd-and-non-oecd-countries.html
OECD — Global Trends in Immigration to OECD Countries from 2000/01 to 2020/21
Provisional 2020/21 context for educational attainment and education-specific emigration patterns. It is not used to create estimated country ranking values.
World Bank — World Development Report 2023: Migrants, Refugees, and Societies
Primary framework for skill matching, destination-country gains, origin-country benefits, remittances, knowledge transfers and migration policy.
World Bank — WDR 2023 Brain Drain Module
Definition and policy context for high-skilled emigration, including when the cost of losing highly qualified workers can outweigh remittance and knowledge-spillover benefits.
https://www.worldbank.org/en/publication/wdr2023/brief/module-9-brain-drain
