University Enrollment Rate By Country 2026

Tertiary education gross enrolment ratio (GER) measures the percentage of the tertiary education age population that is enrolled in tertiary education programs, regardless of age. This indicator reflects the extent to which countries are providing access to higher education and the level of participation in university and post-secondary education. Understanding tertiary education enrollment rates is essential for assessing educational equity, identifying gaps in higher education provision, and monitoring progress toward universal access to quality tertiary education.

University Enrollment Rate By Country 2026 Map

What Tertiary Education Gross Enrolment Ratio Means

Tertiary education gross enrolment ratio (GER) measures the total enrollment in tertiary education (ISCED levels 5-8, including short-cycle tertiary, bachelor's, master's, and doctoral programs) expressed as a percentage of the population of official tertiary education age. A GER above 100% indicates that enrollment exceeds the official age group population, typically due to students older or younger than the official age group attending tertiary education.

GER differs from net enrolment ratio (NER), which measures only students of official tertiary education age. GER provides a broader picture of tertiary education participation across all ages. High GER rates indicate that countries are providing substantial access to higher education, while low rates suggest limited tertiary education opportunities.

University Enrollment Rate By Country 2026

#
Country
University Enrollment Rate (%)
1
Greece
Greece GR
165.11%
2
Macau
Macau MO
141.86%
3
Türkiye
Türkiye TR
127.58%
4
Hong Kong
Hong Kong HK
120.09%
5
Finland
Finland FI
108.13%
6
Argentina
Argentina AR
107.82%
7
South Korea
South Korea KR
106.71%
8
Chile
Chile CL
104.73%
9
Australia
Australia AU
104.65%
10
Grenada
Grenada GD
99.99%
11
Cyprus
Cyprus CY
99.02%
12
Singapore
Singapore SG
97.29%
13
Norway
Norway NO
95.06%
14
Saint Kitts and Nevis
Saint Kitts and Nevis KN
93.92%
15
Spain
Spain ES
93.73%
16
Austria
Austria AT
91.68%
17
Netherlands
Netherlands NL
86.59%
18
Latvia
Latvia LV
85.74%
19
Ukraine
Ukraine UA
85.27%
20
Saudi Arabia
Saudi Arabia SA
83.88%
21
Belgium
Belgium BE
82.15%
22
Albania
Albania AL
82%
23
Sweden
Sweden SE
81.4%
24
Denmark
Denmark DK
81.23%
25
Croatia
Croatia HR
81.18%
26
Malta
Malta MT
80.53%
27
United Kingdom
United Kingdom GB
80.5%
28
Slovenia
Slovenia SI
80.08%
29
Uruguay
Uruguay UY
79.95%
30
Bulgaria
Bulgaria BG
79.85%
31
United States
United States US
79.36%
32
Germany
Germany DE
78.59%
33
Georgia
Georgia GE
78.27%
34
Venezuela
Venezuela VE
78.27%
35
Portugal
Portugal PT
77.68%
36
Monaco
Monaco MC
77.48%
37
Lithuania
Lithuania LT
77.01%
38
China
China CN
76.88%
39
Poland
Poland PL
76.88%
40
Ireland
Ireland IE
76.6%
41
Iceland
Iceland IS
76.52%
42
New Zealand
New Zealand NZ
76.38%
43
Canada
Canada CA
76.26%
44
Italy
Italy IT
75.95%
45
Fiji
Fiji FJ
75.01%
46
Moldova
Moldova MD
74.71%
47
Switzerland
Switzerland CH
74.01%
48
Serbia
Serbia RS
73.21%
49
Peru
Peru PE
71.24%
50
France
France FR
70.45%
51
Belarus
Belarus BY
70.11%
52
Mongolia
Mongolia MN
69.04%
53
Ecuador
Ecuador EC
67.89%
54
Andorra
Andorra AD
67.68%
55
Estonia
Estonia EE
67.62%
56
Czech Republic
Czech Republic CZ
66.73%
57
Japan
Japan JP
64.89%
58
United Arab Emirates
United Arab Emirates AE
63.74%
59
Brazil
Brazil BR
60.39%
60
Russia
Russia RU
60.39%
61
Uzbekistan
Uzbekistan UZ
59.81%
62
Colombia
Colombia CO
59.29%
63
Iran
Iran IR
58.67%
64
Libya
Libya LY
58.54%
65
Bahrain
Bahrain BH
58.37%
66
Dominican Republic
Dominican Republic DO
57.65%
67
San Marino
San Marino SM
57.55%
68
Hungary
Hungary HU
56.59%
69
Israel
Israel IL
55.84%
70
Montenegro
Montenegro ME
55.17%
71
Romania
Romania RO
55.17%
72
Costa Rica
Costa Rica CR
55.02%
73
North Macedonia
North Macedonia MK
55.01%
74
Algeria
Algeria DZ
54.43%
75
Lebanon
Lebanon LB
54.4%
76
Kyrgyzstan
Kyrgyzstan KG
53.88%
77
Panama
Panama PA
53.69%
78
Slovakia
Slovakia SK
53.42%
79
Kazakhstan
Kazakhstan KZ
52.86%
80
Armenia
Armenia AM
52.77%
81
Kuwait
Kuwait KW
51.9%
82
Barbados
Barbados BB
50.8%
83
Thailand
Thailand TH
49.08%
84
Maldives
Maldives MV
48.5%
85
Morocco
Morocco MA
48.18%
86
Mexico
Mexico MX
47.47%
87
Philippines
Philippines PH
47.41%
88
Liechtenstein
Liechtenstein LI
46.02%
89
Mauritius
Mauritius MU
45.78%
90
Bosnia and Herzegovina
Bosnia and Herzegovina BA
45.5%
91
Indonesia
Indonesia ID
44.88%
92
Palestine
Palestine PS
44.49%
93
Oman
Oman OM
43.84%
94
Syria
Syria SY
43.76%
95
Cuba
Cuba CU
43.1%
96
Tonga
Tonga TO
42.86%
97
Azerbaijan
Azerbaijan AZ
41.34%
98
Palau
Palau PW
41.13%
99
Malaysia
Malaysia MY
38.5%
100
Tunisia
Tunisia TN
38.12%
101
Egypt
Egypt EG
38.04%
102
Marshall Islands
Marshall Islands MH
37.69%
103
Paraguay
Paraguay PY
37.62%
104
Vietnam
Vietnam VN
37.59%
105
Brunei
Brunei BN
36.42%
106
Jordan
Jordan JO
35.92%
107
Tajikistan
Tajikistan TJ
35.64%
108
Qatar
Qatar QA
35.09%
109
India
India IN
34.42%
110
Cayman Islands
Cayman Islands KY
33.02%
111
El Salvador
El Salvador SV
32.83%
112
Timor-Leste
Timor-Leste TL
30.96%
113
Nicaragua
Nicaragua NI
30.36%
114
British Virgin Islands
British Virgin Islands VG
29.56%
115
Guatemala
Guatemala GT
27.29%
116
North Korea
North Korea KP
26.72%
117
Guyana
Guyana GY
26.43%
118
Jamaica
Jamaica JM
26.23%
119
Namibia
Namibia NA
26.11%
120
Honduras
Honduras HN
25.32%
121
Antigua and Barbuda
Antigua and Barbuda AG
25.12%
122
Belize
Belize BZ
24.81%
123
Cape Verde
Cape Verde CV
24.29%
124
Bangladesh
Bangladesh BD
23.73%
125
Saint Vincent and the Grenadines
Saint Vincent and the Grenadines VC
23.62%
126
South Africa
South Africa ZA
23.49%
127
Curaçao
Curaçao CW
23.08%
128
Ghana
Ghana GH
22.1%
129
Luxembourg
Luxembourg LU
21.54%
130
Cambodia
Cambodia KH
21.44%
131
Botswana
Botswana BW
21.41%
132
Nepal
Nepal NP
21.29%
133
Sri Lanka
Sri Lanka LK
20.74%
134
Turkmenistan
Turkmenistan TM
20.43%
135
Myanmar
Myanmar MM
20.37%
136
Tuvalu
Tuvalu TV
19.35%
137
Comoros
Comoros KM
18.82%
138
Cameroon
Cameroon CM
16.66%
139
Sudan
Sudan SD
15.86%
140
Iraq
Iraq IQ
15.56%
141
Senegal
Senegal SN
15.33%
142
Saint Lucia
Saint Lucia LC
15.04%
143
Togo
Togo TG
14.9%
144
Laos
Laos LA
14.88%
145
Samoa
Samoa WS
14.61%
146
Seychelles
Seychelles SC
14.53%
147
Aruba
Aruba AW
14.07%
148
Gambia
Gambia GM
13.48%
149
Micronesia
Micronesia FM
13.36%
150
Bhutan
Bhutan BT
13.01%
151
Sao Tome and Principe
Sao Tome and Principe ST
12.82%
152
Cook Islands
Cook Islands CK
12.49%
153
Trinidad and Tobago
Trinidad and Tobago TT
11.83%
154
Ivory Coast
Ivory Coast CI
11.57%
155
Pakistan
Pakistan PK
10.86%
156
Afghanistan
Afghanistan AF
10.85%
157
Guinea
Guinea GN
10.85%
158
Liberia
Liberia LR
10.84%
159
Kenya
Kenya KE
10.42%
160
Congo
Congo CG
10.38%
161
Benin
Benin BJ
10.24%
162
Burkina Faso
Burkina Faso BF
10.04%
163
Angola
Angola AO
9.95%
164
Lesotho
Lesotho LS
9.94%
165
Nigeria
Nigeria NG
9.74%
166
Rwanda
Rwanda RW
9.41%
167
Yemen
Yemen YE
8.81%
168
Zimbabwe
Zimbabwe ZW
7.75%
169
Gabon
Gabon GA
7.66%
170
Mozambique
Mozambique MZ
7.46%
171
Eswatini
Eswatini SZ
6.44%
172
DR Congo
DR Congo CD
6.38%
173
Madagascar
Madagascar MG
6.15%
174
Burundi
Burundi BI
6.03%
175
Mauritania
Mauritania MR
5.97%
176
Ethiopia
Ethiopia ET
5.92%
177
Djibouti
Djibouti DJ
5.16%
178
Mali
Mali ML
5.13%
179
Kiribati
Kiribati KI
4.96%
180
Suriname
Suriname SR
4.94%
181
Vanuatu
Vanuatu VU
4.88%
182
Uganda
Uganda UG
4.62%
183
Chad
Chad TD
4.4%
184
Niger
Niger NE
4.15%
185
Tanzania
Tanzania TZ
4.02%
186
Zambia
Zambia ZM
3.96%
187
Eritrea
Eritrea ER
3.2%
188
Central African Republic
Central African Republic CF
2.78%
189
Malawi
Malawi MW
2.71%
190
Guinea-Bissau
Guinea-Bissau GW
2.62%
191
Sierra Leone
Sierra Leone SL
1.99%
192
Equatorial Guinea
Equatorial Guinea GQ
1.84%

Global Patterns in Tertiary Education Enrollment

Tertiary education gross enrolment ratios vary dramatically across countries, reflecting significant differences in higher education policy, investment, and accessibility. Developed countries typically show high GER rates, with many countries reporting rates above 60%, indicating substantial access to tertiary education. Some developed countries report GER rates exceeding 100%, demonstrating that enrollment extends beyond the official tertiary age group.

Developing countries show much greater variation in GER rates. Some middle-income countries have achieved high GER rates through targeted investments in higher education expansion, while many low-income countries report GER rates below 20%, indicating limited access to tertiary education. Sub-Saharan Africa and South Asia show lower average GER rates, reflecting challenges in funding, infrastructure, and teacher availability for higher education.

Regional Disparities in Tertiary Education Enrollment

Regional patterns reveal that countries with higher GDP per capita, stronger education systems, and greater gender equality typically have higher tertiary education GER rates. Developed regions show consistently high GER rates, with Europe and North America averaging above 60%. Latin America shows mixed patterns, with some countries achieving high GER rates while others remain below 40%. Asian countries show significant variation, from very high rates in developed nations to low rates in least-developed countries.

Gender disparities in tertiary education enrollment vary by region. In developed countries, women often outnumber men in tertiary education. In developing countries, gender gaps remain significant, with women having lower enrollment rates in many regions. These disparities have implications for economic development and gender equality.

Importance of Tertiary Education Access

Tertiary education provides critical benefits for individual and national development. Students who complete tertiary education show significantly higher lifetime earnings, better employment prospects, and greater career mobility. Tertiary education also promotes innovation, research, and technological advancement essential for economic competitiveness.

Beyond individual benefits, tertiary education generates significant social and economic returns. Research shows that every dollar invested in tertiary education returns substantial economic benefits through higher productivity, innovation, and tax revenues. Countries with high tertiary education enrollment rates show better economic performance and greater capacity for technological advancement.

2026 Projections and Methodology

Projections for 2026 show that tertiary education gross enrolment ratios are expected to continue increasing from 2024 levels, with most countries showing modest growth. This reflects ongoing expansion of higher education systems globally, though disparities between developed and developing countries are expected to persist.

The 2026 estimates are calculated using linear regression analysis based on historical trends from 2018-2024. This statistical method identifies the rate of change over recent years and projects that trend forward to 2026. The methodology examines each country's historical tertiary education enrollment trajectory and applies the observed trend to estimate 2026 values. All projections are constrained to realistic ranges to ensure valid estimates. This approach assumes that current trends will continue, which may not hold if significant policy changes or external shocks occur.

Methodology and Data Sources

This analysis uses UNESCO Institute for Statistics (UIS) data on tertiary education gross enrolment ratios, defined as the percentage of the tertiary education age population enrolled in tertiary education programs. The data reflects 2024 actual rates (the most recent available), with 2026 projections calculated using linear regression analysis based on historical trends from 2018-2024.

Using modelled estimates ensures methodological consistency across all countries included in this analysis, though it is important to note that these are statistical estimates rather than direct observations. This approach allows for meaningful comparisons between countries with different higher education systems and data collection practices.

Frequently Asked Questions

Q: What does university enrollment rate measure and why does it matter for higher education planning?

A: University enrollment rate (GER) measures the total number of students enrolled in tertiary education as a percentage of the official tertiary age population. This includes all registered students, whether they actively attend classes or not. It matters because it shows a country's capacity to provide university places and indicates the scale of higher education access. High enrollment rates suggest strong investment in university infrastructure and accessibility. However, enrollment alone doesn't guarantee quality education or student success - some enrolled students may not actively participate in classes.

Q: Why do enrollment rates vary so much between countries and what does this tell us?

A: University enrollment rates vary dramatically because countries have different levels of investment in higher education, different economic capacities, and different cultural attitudes toward university education. Developed countries typically show enrollment rates above 60%, while many developing countries remain below 30%. Some countries like Argentina and Australia show rates exceeding 100%, meaning more students are enrolled than the official age group size - this happens when older or younger students also attend university. These variations reflect not just access but also economic development, educational infrastructure, and national priorities for higher education investment.

Additional Information

Note: Enrollment = Students registered/enrolled in university (whether attending or not)

Data Disclaimer: Projected data (future years) are estimates based on mathematical models. Actual values may differ. Learn about our methodology →

Sources

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