Government expenditure on tertiary education, US$ (millions) by country
Total general (local, regional and central) government expenditure on tertiary education (current, capital, and transfers) in millions US$ (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,...
What the numbers show
Government expenditure on tertiary education, US$ (millions) is currently reported for 157 countries. The highest value is 1.27 billion millions in Ecuador; the lowest is 0 millions in Saint Lucia.
The median across all reporting countries is 330.88 millions, and the mean is 8.12 million millions.
Over the past decade 110 countries rose and 31 fell. The largest increase was in Ecuador (up 155,379,000.0%), and the largest decrease in Saint Lucia (down 100.0%).
Government expenditure on tertiary education, US$: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Ecuador | 1.27 billion millions | 2019 | up 155,379,000.0% | volatile |
| 2 | United States | 272,161 millions | 2017 | β | rising |
| 3 | Germany | 45,884 millions | 2017 | up 21.1% | rising |
| 4 | United Kingdom | 39,056 millions | 2017 | up 68.4% | volatile |
| 5 | France | 31,828 millions | 2017 | β | volatile |
| 6 | Brazil | 31,366 millions | 2017 | up 179.1% | volatile |
| 7 | Japan | 31,329 millions | 2017 | up 13.0% | volatile |
| 8 | Canada | 25,279 millions | 2017 | up 9.2% | volatile |
| 9 | India | 20,045 millions | 2013 | up 436.3% | volatile |
| 10 | Australia | 17,118 millions | 2017 | up 91.3% | volatile |
| 11 | Italy | 14,745 millions | 2017 | down 8.1% | volatile |
| 12 | South Korea | 13,291 millions | 2016 | β | volatile |
| 13 | Netherlands | 13,241 millions | 2017 | β | volatile |
| 14 | Spain | 12,263 millions | 2017 | down 14.4% | volatile |
| 15 | Russia | 12,238 millions | 2017 | up 46.0% | volatile |
| 16 | Mexico | 10,549 millions | 2017 | up 15.6% | volatile |
| 17 | Sweden | 9,711 millions | 2017 | up 21.2% | rising |
| 18 | Switzerland | 9,236 millions | 2017 | up 61.3% | volatile |
| 19 | Norway | 8,410 millions | 2017 | up 0.5% | volatile |
| 20 | Denmark | 8,082 millions | 2017 | up 13.8% | volatile |
| 21 | Argentina | 7,751 millions | 2017 | up 240.3% | volatile |
| 22 | Belgium | 7,311 millions | 2017 | up 5.1% | volatile |
| 23 | Austria | 7,142 millions | 2017 | up 28.6% | volatile |
| 24 | Poland | 5,665 millions | 2017 | up 42.7% | volatile |
| 25 | Venezuela | 5,124 millions | 2009 | up 404.4% | volatile |
| 26 | Iran | 4,974 millions | 2018 | up 75.8% | volatile |
| 27 | China | 4,954 millions | 1999 | up 206.0% | volatile |
| 28 | Indonesia | 4,874 millions | 2015 | up 190.4% | volatile |
| 29 | Turkey | 4,847 millions | 2006 | up 266.1% | volatile |
| 31 | Finland | 4,223 millions | 2017 | down 7.3% | volatile |
| 32 | South Africa | 4,176 millions | 2019 | up 121.4% | rising |
| 33 | Chile | 3,791 millions | 2017 | up 343.8% | volatile |
| 34 | Colombia | 3,467 millions | 2018 | up 64.8% | volatile |
| 35 | Malaysia | 3,452 millions | 2019 | down 20.5% | volatile |
| 36 | Ireland | 3,266 millions | 2017 | up 10.0% | volatile |
| 37 | Israel | 3,191 millions | 2017 | up 84.4% | volatile |
| 38 | Singapore | 2,985 millions | 2018 | up 83.1% | volatile |
| 39 | New Zealand | 2,819 millions | 2017 | β | volatile |
| 40 | Thailand | 2,696 millions | 2013 | up 87.7% | volatile |
| 41 | Puerto Rico | 2,288 millions | 2014 | β | volatile |
| 42 | Saudi Arabia | 2,059 millions | 1998 | down 23.5% | falling |
| 43 | Pakistan | 1,786 millions | 2017 | β | volatile |
| 44 | Portugal | 1,773 millions | 2017 | down 33.9% | volatile |
| 45 | Cuba | 1,747 millions | 2007 | up 565.3% | volatile |
| 46 | Peru | 1,580 millions | 2019 | up 189.5% | volatile |
| 47 | Czechia | 1,521 millions | 2017 | down 18.5% | volatile |
| 48 | Ukraine | 1,517 millions | 2017 | down 42.5% | volatile |
| 49 | Romania | 1,515 millions | 2017 | down 20.6% | volatile |
| 50 | Vietnam | 1,452 millions | 2013 | up 35.3% | rising |
| 51 | Greece | 1,262 millions | 2017 | down 64.4% | volatile |
| 52 | Ethiopia | 1,261 millions | 2015 | up 169.2% | volatile |
| 53 | Bangladesh | 1,251 millions | 2019 | up 421.3% | volatile |
| 54 | Hungary | 1,134 millions | 2017 | down 20.1% | volatile |
| 55 | Egypt | 1,114 millions | 1996 | up 89.5% | volatile |
| 56 | Kuwait | 990.41 millions | 2006 | up 77.7% | volatile |
| 57 | Morocco | 986.35 millions | 2009 | up 168.9% | volatile |
| 58 | Costa Rica | 969.75 millions | 2019 | up 176.4% | volatile |
| 59 | Oman | 844.39 millions | 2016 | up 911.3% | volatile |
| 60 | Slovakia | 750.41 millions | 2017 | up 13.0% | volatile |
| 61 | Uruguay | 740.43 millions | 2018 | up 496.7% | volatile |
| 62 | Tunisia | 681.69 millions | 2015 | up 35.6% | volatile |
| 63 | Macao | 580.42 millions | 2018 | up 243.0% | volatile |
| 64 | Philippines | 534.47 millions | 2009 | up 46.1% | rising |
| 65 | Serbia | 500.73 millions | 2018 | down 20.9% | falling |
| 66 | Bulgaria | 477.68 millions | 2017 | up 77.8% | volatile |
| 67 | Croatia | 477.57 millions | 2017 | up 1.1% | rising |
| 68 | Slovenia | 459.4 millions | 2017 | down 19.8% | rising |
| 69 | Ghana | 440.25 millions | 2014 | up 236.7% | volatile |
| 70 | Kazakhstan | 440.13 millions | 2018 | down 8.3% | volatile |
| 71 | Botswana | 437.65 millions | 2009 | β | volatile |
| 72 | Belarus | 432.42 millions | 2017 | down 8.2% | rising |
| 73 | Kenya | 423.48 millions | 2015 | up 223.8% | volatile |
| 74 | Syria | 419.99 millions | 2007 | up 265.9% | volatile |
| 75 | Sri Lanka | 389.61 millions | 2018 | up 147.6% | volatile |
| 76 | Senegal | 368.82 millions | 2018 | up 122.4% | rising |
| 77 | Lithuania | 359.49 millions | 2017 | down 9.4% | volatile |
| 78 | Iceland | 336.81 millions | 2017 | up 18.6% | rising |
| 79 | Guatemala | 331.12 millions | 2019 | up 146.1% | volatile |
| 80 | Tanzania | 330.88 millions | 2014 | up 226.6% | volatile |
| 81 | Lebanon | 327.95 millions | 2013 | up 135.7% | volatile |
| 82 | Estonia | 305.48 millions | 2017 | up 34.0% | volatile |
| 83 | Luxembourg | 295.31 millions | 2017 | up 11,379.6% | volatile |
| 84 | Paraguay | 289.17 millions | 2016 | up 208.8% | volatile |
| 85 | Panama | 281.71 millions | 2012 | up 83.9% | volatile |
| 86 | Cote d'Ivoire | 263.66 millions | 2018 | up 5.4% | volatile |
| 87 | Cyprus | 262.79 millions | 2017 | down 25.1% | volatile |
| 88 | Azerbaijan | 211.9 millions | 2018 | up 56.7% | volatile |
| 89 | Latvia | 210.34 millions | 2017 | down 21.4% | volatile |
| 90 | Zimbabwe | 201.43 millions | 2014 | up 824.3% | volatile |
| 91 | Namibia | 200.95 millions | 2014 | up 973.5% | volatile |
| 92 | Burkina Faso | 194.51 millions | 2016 | up 571.5% | volatile |
| 93 | Democratic Republic of Congo | 185.54 millions | 2015 | up 135.1% | volatile |
| 94 | Honduras | 184.22 millions | 2015 | up 30.7% | volatile |
| 95 | Gabon | 183.62 millions | 2014 | β | volatile |
| 96 | Malta | 160.22 millions | 2017 | up 124.9% | volatile |
| 97 | Jamaica | 144.71 millions | 2019 | down 15.8% | volatile |
| 98 | Dominican Republic | 130.8 millions | 2007 | up 335.1% | volatile |
| 99 | Jordan | 127.78 millions | 2019 | β | volatile |
| 100 | Sierra Leone | 122.04 millions | 2019 | up 806.1% | volatile |
| 101 | Brunei | 108.12 millions | 2016 | up 101.9% | volatile |
| 102 | Angola | 103.98 millions | 2006 | β | volatile |
| 103 | Afghanistan | 103.4 millions | 2015 | up 107.5% | volatile |
| 104 | Nicaragua | 102.31 millions | 2010 | β | volatile |
| 105 | Mali | 100.67 millions | 2017 | up 88.0% | volatile |
| 106 | Congo | 99.4 millions | 2013 | up 302.8% | volatile |
| 107 | South Sudan | 93.42 millions | 2016 | up 156.9% | rising |
| 108 | Cameroon | 91.42 millions | 2013 | up 67.9% | rising |
| 109 | Uganda | 90.22 millions | 2014 | up 142.3% | volatile |
| 110 | Albania | 88.64 millions | 2017 | β | rising |
| 111 | El Salvador | 86.05 millions | 2018 | up 42.3% | rising |
| 112 | Zambia | 86.02 millions | 2017 | up 131.0% | volatile |
| 113 | Benin | 80.03 millions | 2015 | up 116.4% | volatile |
| 114 | Nepal | 79.99 millions | 2015 | up 312.9% | rising |
| 115 | Moldova | 74.17 millions | 2018 | down 20.2% | rising |
| 116 | Georgia | 72.55 millions | 2018 | up 67.8% | rising |
| 117 | Malawi | 69.93 millions | 2016 | up 7.1% | volatile |
| 118 | Niger | 67.04 millions | 2017 | up 271.2% | volatile |
| 119 | Barbados | 60.19 millions | 2017 | down 9.4% | volatile |
| 120 | Rwanda | 56.38 millions | 2018 | up 22.3% | volatile |
| 121 | Laos | 53.84 millions | 2014 | up 758.3% | volatile |
| 122 | Guinea | 48.9 millions | 2018 | up 29.0% | volatile |
| 123 | Mauritius | 47.11 millions | 2019 | up 23.5% | volatile |
| 124 | Eswatini | 43.34 millions | 2014 | up 37.1% | volatile |
| 125 | Togo | 42.67 millions | 2017 | up 113.2% | volatile |
| 126 | Tajikistan | 40.87 millions | 2015 | up 581.3% | volatile |
| 127 | Armenia | 40.55 millions | 2017 | down 2.9% | rising |
| 128 | Maldives | 36.96 millions | 2016 | up 321.4% | volatile |
| 129 | Fiji | 36.71 millions | 2013 | up 134.4% | volatile |
| 130 | Burundi | 35.62 millions | 2013 | up 476.0% | volatile |
| 131 | Aruba | 30.13 millions | 2016 | up 140.5% | volatile |
| 132 | Mongolia | 29.94 millions | 2017 | up 88.5% | volatile |
| 133 | Mauritania | 26.73 millions | 2019 | up 32.2% | rising |
| 134 | Chad | 26.04 millions | 2018 | down 1.7% | volatile |
| 135 | Trinidad and Tobago | 21.31 millions | 1990 | down 47.9% | volatile |
| 136 | North Macedonia | 19.91 millions | 2002 | down 3.0% | falling |
| 137 | Cambodia | 19.05 millions | 2013 | up 961.9% | volatile |
| 138 | Bermuda | 18.12 millions | 2014 | β | volatile |
| 139 | Cape Verde | 15.73 millions | 2017 | up 95.0% | rising |
| 140 | Kyrgyzstan | 14.07 millions | 2017 | down 64.0% | volatile |
| 141 | Seychelles | 13.65 millions | 2016 | up 57.3% | volatile |
| 142 | Belize | 13.09 millions | 2018 | up 94.0% | rising |
| 143 | Lesotho | 12.45 millions | 2018 | down 83.5% | volatile |
| 144 | Bhutan | 10.96 millions | 2014 | up 56.7% | volatile |
| 145 | Qatar | 7.65 millions | 1978 | up 1,130.4% | volatile |
| 146 | Central African Republic | 7.37 millions | 2011 | up 56.3% | rising |
| 147 | Turks and Caicos Islands | 6.86 millions | 2018 | down 5.0% | rising |
| 148 | Guyana | 4.61 millions | 2012 | up 56.1% | falling |
| 149 | East Timor | 4.47 millions | 2014 | down 41.4% | volatile |
| 150 | Andorra | 4.19 millions | 2019 | up 0.9% | rising |
| 151 | Haiti | 3.79 millions | 1991 | up 92.1% | rising |
| 152 | Saint Kitts and Nevis | 3.75 millions | 2015 | β | volatile |
| 153 | Gambia | 3.32 millions | 2015 | up 226.7% | volatile |
| 154 | Comoros | 2.56 millions | 2015 | up 248.6% | volatile |
| 155 | Monaco | 2.25 millions | 2004 | β | volatile |
| 156 | Vanuatu | 2.06 millions | 2008 | up 56.8% | rising |
| 157 | Madagascar | 0.0186 millions | 2016 | down 99.9% | volatile |
| 158 | Saint Lucia | 0 millions | 2018 | down 100.0% | volatile |
About this data
Total general (local, regional and central) government expenditure on tertiary education (current, capital, and transfers) in millions US$ (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 US$. 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/