education2025

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

Global Average
7,304.0Thousand persons
Median: 1,268.3Thousand persons
Countries Covered
30
with available data
Highest
India
76,164.5Thousand persons
Lowest
Vanuatu
8.7Thousand persons
Top 5 Countries
1India76,164.5Thousand persons
2United States of America48,178.2Thousand persons
3Brazil17,378.3Thousand persons
4South Korea11,765.7Thousand persons
5Mexico11,760.5Thousand persons
By Region
Asia31,954.7Thousand persons(3 countries)
North America29,969.3Thousand persons(2 countries)
South America5,556.8Thousand persons(6 countries)
Europe2,728.7Thousand persons(6 countries)
Other1,130.2Thousand persons(12 countries)
Key Findings
  • 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

Low (8.7Thousand persons)High (76,164.5Thousand persons)

Regional Comparison

Average values by world region (Global avg: 7,304.0Thousand persons)

Asia (3)
North America (2)
South America (6)
Europe (6)
Other (12)
Africa (1)

Percentile Profile

The curve shows how values change from the lowest to the highest country. Steep sections reveal inequality or outliers.

0th percentile · lowest100th percentile · highest

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
1India76,164.5Thousand persons
2United States of America48,178.2Thousand persons
3Brazil17,378.3Thousand persons
4South Korea11,765.7Thousand persons
5Mexico11,760.5Thousand persons
6Russian Federation10,937.5Thousand persons
7United Kingdom8,724.1Thousand persons
8Pakistan7,933.8Thousand persons
9Colombia5,685.5Thousand persons
10Peru4,191.6Thousand persons
11Greece3,618.3Thousand persons
12Argentina2,264.6Thousand persons
13Chile2,255.4Thousand persons
14Serbia1,811.3Thousand persons
15Ecuador1,565.6Thousand persons
16Switzerland971.0Thousand persons
17Portugal762.8Thousand persons
18Rwanda554.8Thousand persons
19Dominican Republic544.8Thousand persons
20Austria484.7Thousand persons
21Panama415.5Thousand persons
22Costa Rica303.8Thousand persons
23Honduras247.7Thousand persons
24Moldova, Republic of211.7Thousand persons
25State of Palestine145.7Thousand persons
26The Republic of North Macedonia113.1Thousand persons
27Republic of The Gambia56.8Thousand persons
28Angola42.2Thousand persons
29Saint Lucia22.2Thousand persons
30Vanuatu8.7Thousand persons
Showing 30 of 30 countries

Topics

Data Source

This data comes from International Labour Organization (ILO) (2025).

View Original Source