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...
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 | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 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
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/