Government expenditure on tertiary education, PPP$ (millions) by country

Total general (local, regional and central) government expenditure on tertiary education (current, capital, and transfers), in millions PPP$ (at purchasing power parity), in nominal value. It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given...

Countries reporting
141
Highest
2.44 billion millions
Ecuador
Lowest
0 millions
Saint Lucia
Median
720.18 millions
Years covered
36
1984–2019
Data points
2,109

What the numbers show

Government expenditure on tertiary education, PPP$ (millions) is currently reported for 141 countries. The highest value is 2.44 billion millions in Ecuador; the lowest is 0 millions in Saint Lucia.

The median across all reporting countries is 720.18 millions, and the mean is 17.32 million millions.

Over the past decade 115 countries rose and 15 fell. The largest increase was in Ecuador (up 142,836,000.0%), and the largest decrease in Saint Lucia (down 100.0%).

Government expenditure on tertiary education, PPP$: full country ranking

#Country LatestYear 10-year changeTrend
1 Ecuador 2.44 billion millions 2019 up 142,836,000.0% volatile
2 United States 272,161 millions 2017 β€” rising
3 India 67,486 millions 2013 up 271.7% volatile
4 Germany 54,845 millions 2017 up 66.0% rising
5 Brazil 45,885 millions 2017 up 139.1% rising
6 United Kingdom 42,002 millions 2017 up 132.4% rising
7 France 36,760 millions 2017 β€” volatile
8 Japan 32,306 millions 2017 up 24.8% rising
9 Russia 29,689 millions 2017 up 64.4% volatile
10 Canada 27,762 millions 2017 up 27.5% rising
12 Italy 19,012 millions 2017 up 31.5% rising
13 South Korea 17,955 millions 2016 β€” volatile
14 Spain 17,228 millions 2017 up 20.7% rising
15 Australia 15,484 millions 2017 up 94.0% rising
16 Netherlands 15,056 millions 2017 β€” volatile
17 China 15,055 millions 1999 up 138.4% rising
18 Indonesia 14,992 millions 2015 up 129.8% volatile
19 Iran 13,098 millions 2018 up 40.6% rising
20 Argentina 12,517 millions 2017 up 140.3% volatile
21 Poland 12,322 millions 2017 up 108.1% volatile
22 Saudi Arabia 10,967 millions 1998 up 32.6% rising
23 Sweden 9,521 millions 2017 up 56.2% rising
24 Malaysia 8,930 millions 2019 down 21.9% rising
25 South Africa 8,471 millions 2019 up 121.8% rising
26 Belgium 8,374 millions 2017 up 52.9% rising
27 Turkey 8,216 millions 2006 up 140.2% rising
28 Austria 8,207 millions 2017 up 75.8% rising
29 Denmark 7,788 millions 2017 up 64.6% rising
30 Colombia 7,722 millions 2018 up 97.4% rising
31 Switzerland 7,708 millions 2017 up 72.0% rising
32 Venezuela 7,422 millions 2009 up 79.8% rising
33 Norway 7,012 millions 2017 up 27.7% rising
34 Ukraine 6,822 millions 2017 down 8.3% rising
35 Thailand 6,735 millions 2013 up 29.8% rising
37 Chile 5,981 millions 2017 up 334.1% volatile
38 Pakistan 5,757 millions 2017 β€” volatile
39 Egypt 5,151 millions 1996 β€” rising
41 Finland 4,329 millions 2017 up 21.7% rising
42 Vietnam 4,126 millions 2013 up 17.5% rising
43 Romania 3,813 millions 2017 up 22.1% rising
44 Ireland 3,655 millions 2017 up 61.5% rising
45 Ethiopia 3,366 millions 2015 up 169.5% volatile
46 Bangladesh 3,348 millions 2019 up 301.6% volatile
47 Israel 3,067 millions 2017 up 60.9% rising
48 Peru 3,029 millions 2019 up 160.3% volatile
49 Czechia 2,873 millions 2017 up 8.2% rising
50 New Zealand 2,811 millions 2017 β€” rising
51 Portugal 2,730 millions 2017 down 9.8% rising
52 Kuwait 2,329 millions 2006 up 18.1% rising
53 Hungary 2,316 millions 2017 up 19.3% rising
54 Morocco 2,101 millions 2009 up 138.5% volatile
55 Greece 1,940 millions 2017 down 51.8% rising
56 Tunisia 1,802 millions 2015 up 47.1% volatile
57 Oman 1,671 millions 2016 up 564.2% volatile
58 Costa Rica 1,619 millions 2019 up 157.1% volatile
59 Philippines 1,477 millions 2009 up 26.0% rising
60 Belarus 1,372 millions 2017 up 12.0% rising
61 Slovakia 1,321 millions 2017 up 50.9% volatile
62 Sri Lanka 1,257 millions 2018 up 153.2% volatile
63 Bulgaria 1,225 millions 2017 up 109.6% rising
64 Ghana 1,218 millions 2014 up 196.2% rising
65 Serbia 1,214 millions 2018 up 7.8% rising
66 Kazakhstan 1,173 millions 2018 up 15.0% rising
67 Kenya 972.43 millions 2015 up 116.3% volatile
68 Uruguay 947.08 millions 2018 up 262.2% volatile
69 Croatia 947 millions 2017 up 44.6% rising
70 Macao 898.63 millions 2018 up 169.3% volatile
71 Senegal 853.86 millions 2018 up 178.6% rising
72 Myanmar 818.07 millions 2019 up 231.1% volatile
73 Tanzania 748.4 millions 2014 up 126.3% rising
74 Lithuania 720.18 millions 2017 up 16.9% rising
75 Slovenia 716.46 millions 2017 up 8.1% rising
76 Paraguay 653.95 millions 2016 up 144.7% volatile
77 Azerbaijan 650.25 millions 2018 up 103.1% volatile
78 Guatemala 644.71 millions 2019 up 106.0% rising
79 Lebanon 619.13 millions 2013 up 122.2% rising
80 Cote d'Ivoire 589.41 millions 2018 up 18.4% volatile
81 Burkina Faso 535.65 millions 2016 up 577.3% volatile
82 Estonia 506.74 millions 2017 up 67.9% volatile
84 Sierra Leone 432.95 millions 2019 up 1,055.3% volatile
85 Honduras 385.96 millions 2015 up 38.0% volatile
86 Namibia 384.54 millions 2014 up 564.4% volatile
87 Latvia 384.45 millions 2017 up 11.3% volatile
88 Cyprus 376.82 millions 2017 up 2.1% volatile
89 Afghanistan 373.11 millions 2015 up 137.8% rising
90 Zimbabwe 366.74 millions 2014 up 747.1% volatile
91 Luxembourg 309.56 millions 2017 up 13,920.5% volatile
92 Jordan 304.42 millions 2019 β€” falling
93 Gabon 292.07 millions 2014 β€” volatile
94 Dominican Republic 280.57 millions 2007 up 316.1% volatile
95 Nepal 279.06 millions 2015 up 182.1% rising
96 Mali 272.5 millions 2017 up 108.6% rising
97 Jamaica 269.39 millions 2019 down 7.2% rising
98 Iceland 262.43 millions 2017 up 55.1% rising
99 Albania 255.04 millions 2017 β€” rising
100 Malta 244.42 millions 2017 up 167.1% volatile
101 Uganda 224.33 millions 2014 up 77.6% rising
102 Georgia 224.17 millions 2018 up 141.6% rising
103 Moldova 221.87 millions 2018 down 19.0% rising
104 Brunei 216.97 millions 2016 up 44.7% volatile
105 Benin 214.57 millions 2015 up 132.5% rising
106 Zambia 195.32 millions 2017 up 68.6% volatile
107 Cameroon 187.29 millions 2013 up 50.9% rising
108 Malawi 187.21 millions 2016 up 29.2% volatile
109 El Salvador 186.56 millions 2018 up 47.6% rising
110 Laos 158.25 millions 2014 up 291.1% volatile
111 Congo 155.28 millions 2013 up 56.8% flat
112 Niger 150.67 millions 2017 up 238.6% volatile
113 Rwanda 144.19 millions 2018 up 38.9% rising
114 Tajikistan 131.59 millions 2015 up 338.3% volatile
115 Guinea 127.18 millions 2018 up 46.5% volatile
116 Armenia 125.5 millions 2017 up 45.1% rising
117 Togo 103.35 millions 2017 up 126.3% rising
118 Burundi 102.71 millions 2013 up 268.5% volatile
119 Mauritius 95.56 millions 2019 up 40.1% rising
120 Mongolia 92.29 millions 2017 down 6.6% volatile
121 Eswatini 89.22 millions 2014 up 12.7% rising
122 Mauritania 86.23 millions 2019 up 81.5% rising
123 Fiji 72.32 millions 2013 up 64.5% rising
124 Maldives 69.88 millions 2016 up 336.1% volatile
125 North Macedonia 64 millions 2002 down 25.7% falling
126 Chad 57.86 millions 2018 up 6.8% volatile
127 Cambodia 57.24 millions 2013 up 879.4% volatile
128 Kyrgyzstan 57.14 millions 2017 down 61.9% rising
129 Barbados 56.81 millions 2017 down 19.3% rising
130 Aruba 39.81 millions 2016 up 117.4% volatile
131 Bhutan 35.43 millions 2014 up 45.3% rising
132 Cape Verde 31.73 millions 2017 up 118.9% rising
133 Lesotho 30.12 millions 2018 down 82.0% volatile
134 Seychelles 23.26 millions 2016 up 89.1% volatile
135 Belize 19.04 millions 2018 up 63.3% rising
136 Central African Republic 13.53 millions 2011 up 28.9% rising
137 Bermuda 11.09 millions 2017 down 23.5% flat
138 Gambia 10.55 millions 2015 up 230.9% rising
139 East Timor 9.87 millions 2014 down 51.5% volatile
140 Guyana 8.98 millions 2012 up 4.7% rising
141 Comoros 5.58 millions 2015 up 203.4% volatile
142 Saint Kitts and Nevis 4.97 millions 2015 β€” volatile
143 Vanuatu 2.16 millions 2008 up 14.3% rising
144 Madagascar 0.0627 millions 2016 down 99.9% volatile
145 Saint Lucia 0 millions 2018 down 100.0% volatile

About this data

Indicator
Government expenditure on tertiary education, PPP$ (millions)
Unit
millions
Source
UNESCO Institute for Statistics
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
145 places, 2,109 data points, 1984–2019
Last refreshed

Total general (local, regional and central) government expenditure on tertiary education (current, capital, and transfers), in millions PPP$ (at purchasing power parity), in nominal value. It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g. primary, secondary, or all levels combined) in national currency is converted to PPP$. Limitations: In some instances data on total government expenditure on education refers only to the Ministry of Education, excluding other ministries which may also spend a part of their budget on educational activities. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/