Overeducated workers under the normative skills-mismatch approach
Compare overeducated workers under the normative skills-mismatch approach across 30 countries or territories using one fixed 2025 ILOSTAT reference slice.
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Key Insights
- •30 ISO-mapped countries or territories have a finite Thousand persons observation in the fixed 2025 slice.
- •India has the highest published value (76164.5 Thousand persons).
- •Vanuatu has the lowest published value (8.749 Thousand persons).
Country Rankings
Top 10 Countries
Bottom 10 Countries
Data Analysis
Value Distribution
How countries are distributed across the value range
Regional Comparison
Average values by world region (Global avg: 7,304.0Thousand persons)
Percentile Profile
The curve shows how values change from the lowest to the highest country. Steep sections reveal inequality or outliers.
About This Statistic
With the aim of promoting international comparability, statistics presented on ILOSTAT are based on standard international definitions wherever feasible and may differ from official national figures. This series is based on the 13th ICLS definitions. For time series comparability, it includes countries that have implemented the 19th ICLS standards, for which data are also available in the Work Statistics -- 19th ICLS (WORK) database. The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). The normative approach used to identify mismatched workers is based on the educational requirements set out in the International Standard Classification of Occupations (ISCO) for each one digit ISCO occupational group, and on the level of education of each person in employment. Each individual is assigned a status based on whether their level of education corresponds to the educational requirements for their particular occupational group. For more information, refer to the Education and Mismatch Indicators (EMI) database description .
MapTheory uses only finite ISO-mapped observations from the fixed 2025 ILOSTAT slice recorded below. Aggregates, missing values, non-ISO geographies, conflicting duplicate observations, and every other year or dimension slice are excluded; MapTheory never imputes or interpolates missing countries.
Methodology
With the aim of promoting international comparability, statistics presented on ILOSTAT are based on standard international definitions wherever feasible and may differ from official national figures. This series is based on the 13th ICLS definitions. For time series comparability, it includes countries that have implemented the 19th ICLS standards, for which data are also available in the Work Statistics -- 19th ICLS (WORK) database. The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). The normative approach used to identify mismatched workers is based on the educational requirements set out in the International Standard Classification of Occupations (ISCO) for each one digit ISCO occupational group, and on the level of education of each person in employment. Each individual is assigned a status based on whether their level of education corresponds to the educational requirements for their particular occupational group. For more information, refer to the Education and Mismatch Indicators (EMI) database description .
Full Data
| Rank ↑ | Country ↕ | Value ↕ |
|---|---|---|
| 1 | India | 76,164.5Thousand persons |
| 2 | United States of America | 48,178.2Thousand persons |
| 3 | Brazil | 17,378.3Thousand persons |
| 4 | South Korea | 11,765.7Thousand persons |
| 5 | Mexico | 11,760.5Thousand persons |
| 6 | Russian Federation | 10,937.5Thousand persons |
| 7 | United Kingdom | 8,724.1Thousand persons |
| 8 | Pakistan | 7,933.8Thousand persons |
| 9 | Colombia | 5,685.5Thousand persons |
| 10 | Peru | 4,191.6Thousand persons |
| 11 | Greece | 3,618.3Thousand persons |
| 12 | Argentina | 2,264.6Thousand persons |
| 13 | Chile | 2,255.4Thousand persons |
| 14 | Serbia | 1,811.3Thousand persons |
| 15 | Ecuador | 1,565.6Thousand persons |
| 16 | Switzerland | 971.0Thousand persons |
| 17 | Portugal | 762.8Thousand persons |
| 18 | Rwanda | 554.8Thousand persons |
| 19 | Dominican Republic | 544.8Thousand persons |
| 20 | Austria | 484.7Thousand persons |
| 21 | Panama | 415.5Thousand persons |
| 22 | Costa Rica | 303.8Thousand persons |
| 23 | Honduras | 247.7Thousand persons |
| 24 | Moldova, Republic of | 211.7Thousand persons |
| 25 | State of Palestine | 145.7Thousand persons |
| 26 | The Republic of North Macedonia | 113.1Thousand persons |
| 27 | Republic of The Gambia | 56.8Thousand persons |
| 28 | Angola | 42.2Thousand persons |
| 29 | Saint Lucia | 22.2Thousand persons |
| 30 | Vanuatu | 8.7Thousand persons |
Topics
Data Source
This data comes from International Labour Organization (ILO) (2025).
View Original Source