Government expenditure on tertiary education, constant 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 constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total...
What the numbers show
Government expenditure on tertiary education, constant PPP$ (millions) is currently reported for 144 countries. The highest value is 2.34 billion millions in Ecuador; the lowest is 0 millions in Saint Lucia.
The median across all reporting countries is 744.39 millions, and the mean is 16.29 million millions.
Over the past decade 100 countries rose and 32 fell. The largest increase was in Ecuador (up 119,176,000.0%), and the largest decrease in Saint Lucia (down 100.0%).
Government expenditure on tertiary education, constant PPP$: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Ecuador | 2.34 billion millions | 2019 | up 119,176,000.0% | volatile |
| 2 | United States | 272,161 millions | 2017 | β | rising |
| 3 | India | 63,501 millions | 2013 | up 195.7% | volatile |
| 4 | Germany | 54,845 millions | 2017 | up 28.0% | rising |
| 5 | Brazil | 45,885 millions | 2017 | up 121.2% | rising |
| 6 | United Kingdom | 42,002 millions | 2017 | up 90.6% | rising |
| 7 | France | 36,760 millions | 2017 | β | rising |
| 8 | Japan | 32,306 millions | 2017 | up 8.8% | rising |
| 9 | Russia | 29,689 millions | 2017 | up 12.3% | rising |
| 10 | Canada | 27,762 millions | 2017 | up 14.1% | rising |
| 11 | Mexico | 22,507 millions | 2017 | up 28.7% | rising |
| 12 | Italy | 19,012 millions | 2017 | down 1.6% | rising |
| 13 | China | 18,191 millions | 1999 | up 110.2% | rising |
| 14 | South Korea | 18,087 millions | 2016 | β | volatile |
| 15 | Spain | 17,228 millions | 2017 | down 1.1% | rising |
| 16 | Australia | 15,484 millions | 2017 | up 59.3% | rising |
| 17 | Netherlands | 15,056 millions | 2017 | β | rising |
| 18 | Indonesia | 14,849 millions | 2015 | up 124.8% | volatile |
| 19 | Iran | 12,920 millions | 2018 | up 70.4% | rising |
| 20 | Argentina | 12,517 millions | 2017 | up 77.6% | rising |
| 21 | Poland | 12,322 millions | 2017 | up 62.1% | rising |
| 22 | Saudi Arabia | 11,966 millions | 1998 | up 26.8% | rising |
| 23 | Turkey | 11,614 millions | 2006 | up 156.7% | rising |
| 24 | Sweden | 9,521 millions | 2017 | up 29.5% | rising |
| 25 | Malaysia | 8,574 millions | 2019 | down 26.0% | rising |
| 26 | Belgium | 8,374 millions | 2017 | up 19.5% | rising |
| 27 | Austria | 8,207 millions | 2017 | up 31.0% | rising |
| 28 | South Africa | 8,203 millions | 2019 | up 100.1% | rising |
| 29 | Denmark | 7,788 millions | 2017 | up 19.4% | rising |
| 30 | Egypt | 7,755 millions | 1996 | β | rising |
| 31 | Switzerland | 7,708 millions | 2017 | up 31.8% | rising |
| 32 | Colombia | 7,459 millions | 2018 | up 68.7% | rising |
| 33 | Norway | 7,012 millions | 2017 | up 13.3% | rising |
| 34 | Thailand | 6,899 millions | 2013 | up 7.4% | rising |
| 35 | Ukraine | 6,822 millions | 2017 | down 38.3% | rising |
| 36 | Chile | 5,981 millions | 2017 | up 273.8% | volatile |
| 37 | Hong Kong | 5,951 millions | 2019 | down 12.7% | rising |
| 38 | Pakistan | 5,757 millions | 2017 | β | volatile |
| 39 | Singapore | 4,566 millions | 2018 | up 52.0% | rising |
| 40 | Vietnam | 4,477 millions | 2013 | up 3.6% | rising |
| 41 | Finland | 4,329 millions | 2017 | down 5.4% | rising |
| 42 | Romania | 3,813 millions | 2017 | down 15.5% | rising |
| 43 | Ireland | 3,655 millions | 2017 | up 26.8% | rising |
| 44 | Ethiopia | 3,653 millions | 2015 | up 136.3% | volatile |
| 45 | Bangladesh | 3,212 millions | 2019 | up 225.6% | volatile |
| 46 | Israel | 3,067 millions | 2017 | up 30.8% | rising |
| 47 | Peru | 2,909 millions | 2019 | up 138.8% | rising |
| 48 | Czechia | 2,873 millions | 2017 | down 17.0% | rising |
| 49 | New Zealand | 2,811 millions | 2017 | β | rising |
| 50 | Portugal | 2,730 millions | 2017 | down 28.2% | rising |
| 51 | Hungary | 2,316 millions | 2017 | down 11.5% | rising |
| 52 | Morocco | 2,110 millions | 2009 | up 91.7% | rising |
| 53 | Greece | 1,940 millions | 2017 | down 64.7% | rising |
| 54 | Tunisia | 1,857 millions | 2015 | up 38.4% | rising |
| 55 | Oman | 1,744 millions | 2016 | up 732.5% | volatile |
| 56 | Kuwait | 1,663 millions | 2006 | down 2.9% | rising |
| 57 | Philippines | 1,572 millions | 2009 | up 3.5% | falling |
| 58 | Costa Rica | 1,556 millions | 2019 | up 95.3% | rising |
| 59 | Belarus | 1,372 millions | 2017 | down 4.3% | falling |
| 60 | Slovakia | 1,321 millions | 2017 | up 29.1% | rising |
| 61 | Sri Lanka | 1,228 millions | 2018 | up 119.5% | volatile |
| 62 | Bulgaria | 1,225 millions | 2017 | up 61.9% | rising |
| 63 | Serbia | 1,199 millions | 2018 | down 8.1% | flat |
| 64 | Kazakhstan | 1,146 millions | 2018 | up 2.1% | rising |
| 65 | Kenya | 1,098 millions | 2015 | up 58.4% | rising |
| 66 | Ghana | 1,044 millions | 2014 | up 78.5% | rising |
| 67 | Croatia | 947 millions | 2017 | up 8.1% | rising |
| 68 | Uruguay | 925.25 millions | 2018 | up 214.9% | volatile |
| 69 | Macao | 877.91 millions | 2018 | up 117.7% | volatile |
| 70 | Senegal | 834.18 millions | 2018 | up 159.2% | rising |
| 71 | Myanmar | 785.51 millions | 2019 | up 228.8% | volatile |
| 72 | Tanzania | 763.79 millions | 2014 | up 103.2% | rising |
| 73 | Lebanon | 724.99 millions | 2013 | up 68.4% | rising |
| 74 | Lithuania | 720.18 millions | 2017 | down 13.9% | rising |
| 75 | Slovenia | 716.46 millions | 2017 | down 15.1% | rising |
| 76 | Panama | 662.11 millions | 2012 | up 24.2% | rising |
| 77 | Paraguay | 660.88 millions | 2016 | up 128.5% | volatile |
| 78 | Azerbaijan | 635.26 millions | 2018 | up 103.0% | volatile |
| 79 | Guatemala | 619.05 millions | 2019 | up 78.0% | rising |
| 80 | Cote d'Ivoire | 575.83 millions | 2018 | down 21.8% | rising |
| 81 | Burkina Faso | 563.21 millions | 2016 | up 481.1% | volatile |
| 82 | Estonia | 506.74 millions | 2017 | up 19.4% | rising |
| 83 | Honduras | 422.77 millions | 2015 | up 17.4% | rising |
| 84 | Sierra Leone | 415.72 millions | 2019 | up 779.8% | volatile |
| 85 | Zimbabwe | 414.85 millions | 2014 | up 662.9% | volatile |
| 86 | Afghanistan | 395.53 millions | 2015 | up 106.0% | rising |
| 87 | Latvia | 384.45 millions | 2017 | down 20.0% | rising |
| 88 | Namibia | 377.72 millions | 2014 | up 413.4% | volatile |
| 89 | Cyprus | 376.82 millions | 2017 | down 15.9% | volatile |
| 90 | Dominican Republic | 326.63 millions | 2007 | up 229.3% | volatile |
| 91 | Luxembourg | 309.56 millions | 2017 | up 12,069.6% | volatile |
| 92 | Gabon | 293.31 millions | 2014 | β | volatile |
| 93 | Jordan | 292.31 millions | 2019 | β | volatile |
| 94 | Mali | 272.5 millions | 2017 | up 75.5% | rising |
| 95 | Nepal | 270.94 millions | 2015 | up 109.0% | rising |
| 96 | Iceland | 262.43 millions | 2017 | up 22.6% | rising |
| 97 | Albania | 255.04 millions | 2017 | β | rising |
| 98 | Jamaica | 253.34 millions | 2019 | down 25.6% | rising |
| 99 | Malta | 244.42 millions | 2017 | up 115.4% | rising |
| 100 | Uganda | 223.45 millions | 2014 | up 69.1% | rising |
| 101 | Georgia | 219 millions | 2018 | up 79.9% | rising |
| 102 | Benin | 218.96 millions | 2015 | up 88.6% | rising |
| 103 | Moldova | 216.75 millions | 2018 | down 41.9% | flat |
| 104 | Cameroon | 203.52 millions | 2013 | up 25.7% | falling |
| 105 | Brunei | 202.63 millions | 2016 | up 71.1% | volatile |
| 106 | Zambia | 195.32 millions | 2017 | up 56.0% | volatile |
| 107 | Malawi | 188.81 millions | 2016 | up 35.8% | volatile |
| 108 | El Salvador | 182.26 millions | 2018 | up 16.0% | rising |
| 109 | Laos | 166.87 millions | 2014 | up 174.1% | volatile |
| 110 | Niger | 150.67 millions | 2017 | up 232.4% | volatile |
| 111 | Rwanda | 139.87 millions | 2018 | up 18.9% | rising |
| 112 | Armenia | 125.5 millions | 2017 | up 15.1% | rising |
| 113 | Guinea | 124.25 millions | 2018 | up 24.0% | volatile |
| 114 | Tajikistan | 124.11 millions | 2015 | up 287.5% | volatile |
| 115 | Burundi | 121.6 millions | 2013 | up 188.3% | rising |
| 116 | Congo | 118.84 millions | 2013 | up 39.0% | falling |
| 117 | Togo | 103.35 millions | 2017 | up 103.4% | rising |
| 118 | North Macedonia | 100.19 millions | 2002 | down 39.8% | falling |
| 119 | Mauritius | 93.6 millions | 2019 | up 25.5% | rising |
| 120 | Mongolia | 92.29 millions | 2017 | down 16.5% | volatile |
| 121 | Eswatini | 88.01 millions | 2014 | down 5.2% | rising |
| 122 | Fiji | 86.43 millions | 2013 | up 24.7% | rising |
| 123 | Mauritania | 82.79 millions | 2019 | up 52.7% | rising |
| 124 | Maldives | 70.57 millions | 2016 | up 239.4% | volatile |
| 125 | South Sudan | 60.57 millions | 2017 | β | rising |
| 126 | Cambodia | 59.99 millions | 2013 | up 618.4% | rising |
| 127 | Kyrgyzstan | 57.14 millions | 2017 | down 72.7% | rising |
| 128 | Barbados | 56.81 millions | 2017 | down 22.8% | rising |
| 129 | Chad | 56.52 millions | 2018 | up 8.3% | volatile |
| 130 | Aruba | 40.35 millions | 2016 | up 92.6% | rising |
| 131 | Bhutan | 39.43 millions | 2014 | up 20.1% | rising |
| 132 | Lesotho | 32.45 millions | 2018 | down 83.4% | volatile |
| 133 | Cape Verde | 31.73 millions | 2017 | up 88.3% | rising |
| 134 | Seychelles | 23.93 millions | 2016 | up 68.5% | volatile |
| 135 | Belize | 19.2 millions | 2018 | up 64.9% | rising |
| 136 | Central African Republic | 16.6 millions | 2011 | up 18.3% | falling |
| 137 | East Timor | 11.85 millions | 2014 | down 61.5% | volatile |
| 138 | Gambia | 10.51 millions | 2015 | up 211.1% | volatile |
| 139 | Guyana | 9.46 millions | 2012 | down 14.4% | rising |
| 140 | Comoros | 6.1 millions | 2015 | up 118.7% | volatile |
| 141 | Saint Kitts and Nevis | 5.31 millions | 2015 | β | volatile |
| 142 | Vanuatu | 2.47 millions | 2008 | down 8.7% | rising |
| 143 | Madagascar | 0.0611 millions | 2016 | down 99.9% | volatile |
| 144 | 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 constant value (taking into account inflation). 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$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant PPP$ values are expressed in 2014 prices. 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/