Government expenditure on education not specified by level, US$ (millions) by country
Total general (local, regional and central) government expenditure on education (current, capital, and transfers) not specified by level 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...
What the numbers show
Government expenditure on education not specified by level, US$ (millions) is currently reported for 153 countries. The highest value is 22,833 millions in Italy; the lowest is 0 millions in Zimbabwe.
The median across all reporting countries is 0 millions, and the mean is 346.33 millions.
Over the past decade 36 countries rose and 39 fell. The largest increase was in Ghana (up 334,230.0%), and the largest decrease in Australia (down 100.0%).
Government expenditure on education not specified by level, US$: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Italy | 22,833 millions | 2017 | β | volatile |
| 2 | Russia | 6,317 millions | 2017 | up 32.4% | volatile |
| 3 | Indonesia | 3,944 millions | 2015 | up 129.0% | volatile |
| 4 | Germany | 3,055 millions | 2017 | down 6.8% | falling |
| 5 | South Africa | 2,782 millions | 2019 | up 52.0% | volatile |
| 6 | Mexico | 1,530 millions | 2017 | up 1.3% | volatile |
| 7 | Thailand | 1,406 millions | 2013 | up 43.8% | volatile |
| 9 | Norway | 978.16 millions | 2017 | up 12.8% | rising |
| 10 | China | 948.55 millions | 1999 | β | volatile |
| 11 | Macao | 928.17 millions | 2018 | β | volatile |
| 12 | Romania | 809.05 millions | 2017 | up 24.8% | rising |
| 13 | Singapore | 717.65 millions | 2018 | up 23.2% | volatile |
| 14 | Belgium | 634.16 millions | 2017 | down 21.1% | rising |
| 15 | Hungary | 616.14 millions | 2017 | up 107.8% | volatile |
| 16 | Democratic Republic of Congo | 593.85 millions | 2015 | up 2,077.9% | volatile |
| 17 | Switzerland | 566 millions | 2017 | down 3.7% | volatile |
| 18 | Pakistan | 415.48 millions | 2017 | β | volatile |
| 19 | Ghana | 379.73 millions | 2014 | up 334,230.0% | volatile |
| 20 | Kazakhstan | 326.99 millions | 2018 | up 68.8% | volatile |
| 21 | Panama | 315.22 millions | 2011 | up 474.0% | volatile |
| 22 | Algeria | 284.44 millions | 2012 | up 136.4% | volatile |
| 23 | Dominican Republic | 276.79 millions | 2019 | up 942.7% | volatile |
| 24 | Costa Rica | 255.88 millions | 2019 | up 722.3% | volatile |
| 25 | Portugal | 254.23 millions | 2017 | down 23.9% | volatile |
| 26 | Senegal | 202.88 millions | 2018 | up 421.5% | volatile |
| 27 | Czechia | 173.04 millions | 2017 | down 16.3% | volatile |
| 28 | Uruguay | 141.63 millions | 2018 | β | volatile |
| 29 | Belarus | 126.37 millions | 2017 | β | volatile |
| 30 | Tajikistan | 112.84 millions | 2015 | up 1,414.0% | volatile |
| 31 | Iceland | 93.06 millions | 2017 | up 20.3% | rising |
| 32 | Kyrgyzstan | 92.8 millions | 2017 | up 71.2% | volatile |
| 33 | Guatemala | 91.91 millions | 2019 | up 11.3% | volatile |
| 34 | Kuwait | 91.34 millions | 2011 | up 151.0% | volatile |
| 35 | Kenya | 62.01 millions | 2015 | β | volatile |
| 36 | Chad | 57.08 millions | 2018 | β | volatile |
| 37 | Angola | 46.67 millions | 2006 | β | volatile |
| 38 | Malta | 43.6 millions | 2017 | down 27.1% | volatile |
| 39 | Monaco | 40.68 millions | 2019 | up 30.3% | volatile |
| 40 | Madagascar | 37.28 millions | 2012 | up 40.5% | rising |
| 41 | Andorra | 36.61 millions | 2019 | up 4.9% | rising |
| 42 | Bahrain | 34.2 millions | 2017 | β | rising |
| 43 | Lebanon | 33.94 millions | 2013 | up 6.9% | volatile |
| 44 | Mauritius | 30.99 millions | 2019 | up 39.3% | rising |
| 45 | Colombia | 27.69 millions | 2018 | down 31.8% | volatile |
| 46 | Armenia | 27.35 millions | 2017 | up 106.0% | rising |
| 47 | Aruba | 24.81 millions | 2016 | down 19.4% | rising |
| 48 | Serbia | 21.98 millions | 2018 | down 29.6% | falling |
| 49 | Belize | 19.93 millions | 2018 | up 1,679.7% | volatile |
| 50 | Guyana | 15.62 millions | 2012 | up 64.4% | volatile |
| 51 | Israel | 15.56 millions | 2017 | down 97.4% | volatile |
| 52 | Namibia | 13.93 millions | 2017 | β | volatile |
| 53 | Malawi | 11.32 millions | 2016 | up 78.6% | volatile |
| 54 | Saint Lucia | 9.65 millions | 2018 | β | volatile |
| 55 | Albania | 9.31 millions | 2017 | β | volatile |
| 56 | Rwanda | 8.71 millions | 2018 | up 127.1% | volatile |
| 57 | Moldova | 8.69 millions | 2018 | down 79.7% | volatile |
| 58 | Lesotho | 8.01 millions | 2018 | up 95.4% | volatile |
| 59 | Liechtenstein | 7.85 millions | 2011 | up 34.5% | rising |
| 60 | Saint Vincent and the Grenadines | 7.32 millions | 2018 | β | volatile |
| 61 | Vanuatu | 6.4 millions | 2017 | up 105.5% | volatile |
| 62 | Burundi | 5.13 millions | 2013 | β | volatile |
| 63 | Peru | 4.61 millions | 2019 | β | volatile |
| 64 | Mauritania | 4.1 millions | 2019 | down 78.5% | volatile |
| 65 | Cape Verde | 3.48 millions | 2017 | β | volatile |
| 66 | Slovenia | 3.47 millions | 2017 | up 2,134.4% | volatile |
| 67 | Cote d'Ivoire | 1.77 millions | 2018 | β | volatile |
| 68 | Congo | 1.74 millions | 2010 | down 78.2% | volatile |
| 69 | Eswatini | 1.21 millions | 2014 | down 82.5% | volatile |
| 70 | Paraguay | 1.12 millions | 2016 | β | volatile |
| 71 | Central African Republic | 0.7136 millions | 2011 | β | volatile |
| 72 | Slovakia | 0.4638 millions | 2017 | down 99.5% | volatile |
| 73 | Gabon | 0.416 millions | 2014 | β | volatile |
| 74 | Cameroon | 0.2714 millions | 2013 | β | volatile |
| 75 | Saint Kitts and Nevis | 0.26 millions | 2016 | β | volatile |
| 76 | Niger | 0.2593 millions | 2017 | β | volatile |
| 77 | Afghanistan | 0 millions | 2017 | β | volatile |
| 77 | Argentina | 0 millions | 2017 | β | volatile |
| 77 | Australia | 0 millions | 2017 | down 100.0% | volatile |
| 77 | Austria | 0 millions | 2017 | β | volatile |
| 77 | Azerbaijan | 0 millions | 2018 | down 100.0% | volatile |
| 77 | Benin | 0 millions | 2015 | β | volatile |
| 77 | Burkina Faso | 0 millions | 2016 | down 100.0% | volatile |
| 77 | Bangladesh | 0 millions | 2019 | β | volatile |
| 77 | Bulgaria | 0 millions | 2017 | β | flat |
| 77 | Bermuda | 0 millions | 2017 | β | volatile |
| 77 | Brazil | 0 millions | 2017 | β | flat |
| 77 | Barbados | 0 millions | 2017 | β | volatile |
| 77 | Bhutan | 0 millions | 2015 | down 100.0% | volatile |
| 77 | Canada | 0 millions | 2017 | β | flat |
| 77 | Chile | 0 millions | 2016 | β | volatile |
| 77 | Comoros | 0 millions | 2015 | β | volatile |
| 77 | Cuba | 0 millions | 2010 | β | volatile |
| 77 | Cyprus | 0 millions | 2017 | β | volatile |
| 77 | Denmark | 0 millions | 2017 | down 100.0% | volatile |
| 77 | Ecuador | 0 millions | 2019 | β | volatile |
| 77 | Egypt | 0 millions | 1996 | down 100.0% | volatile |
| 77 | Spain | 0 millions | 2016 | β | volatile |
| 77 | Estonia | 0 millions | 2017 | down 100.0% | volatile |
| 77 | Ethiopia | 0 millions | 2013 | β | volatile |
| 77 | Finland | 0 millions | 2017 | β | volatile |
| 77 | Fiji | 0 millions | 2013 | down 100.0% | volatile |
| 77 | United Kingdom | 0 millions | 2017 | β | volatile |
| 77 | Georgia | 0 millions | 2018 | down 100.0% | volatile |
| 77 | Guinea | 0 millions | 2018 | down 100.0% | volatile |
| 77 | Gambia | 0 millions | 2015 | down 100.0% | volatile |
| 77 | Greece | 0 millions | 2017 | β | volatile |
| 77 | Croatia | 0 millions | 2015 | down 100.0% | volatile |
| 77 | India | 0 millions | 2013 | β | volatile |
| 77 | Ireland | 0 millions | 2017 | β | volatile |
| 77 | Iran | 0 millions | 2018 | β | volatile |
| 77 | Jamaica | 0 millions | 2019 | β | volatile |
| 77 | Jordan | 0 millions | 2019 | β | volatile |
| 77 | Japan | 0 millions | 2017 | down 100.0% | falling |
| 77 | Cambodia | 0 millions | 2014 | β | flat |
| 77 | South Korea | 0 millions | 2016 | β | volatile |
| 77 | Laos | 0 millions | 2014 | down 100.0% | volatile |
| 77 | Sri Lanka | 0 millions | 2018 | β | volatile |
| 77 | Lithuania | 0 millions | 2017 | β | volatile |
| 77 | Luxembourg | 0 millions | 2017 | β | volatile |
| 77 | Latvia | 0 millions | 2017 | β | volatile |
| 77 | Morocco | 0 millions | 2009 | β | volatile |
| 77 | Maldives | 0 millions | 2019 | β | flat |
| 77 | North Macedonia | 0 millions | 1996 | β | flat |
| 77 | Mali | 0 millions | 2017 | β | volatile |
| 77 | Mongolia | 0 millions | 2016 | β | flat |
| 77 | Malaysia | 0 millions | 2019 | β | volatile |
| 77 | Netherlands | 0 millions | 2017 | β | volatile |
| 77 | Nepal | 0 millions | 2015 | down 100.0% | volatile |
| 77 | New Zealand | 0 millions | 2017 | down 100.0% | volatile |
| 77 | Oman | 0 millions | 2019 | β | volatile |
| 77 | Philippines | 0 millions | 2009 | down 100.0% | volatile |
| 77 | Poland | 0 millions | 2017 | β | volatile |
| 77 | Saudi Arabia | 0 millions | 1998 | β | flat |
| 77 | Sierra Leone | 0 millions | 2019 | down 100.0% | volatile |
| 77 | El Salvador | 0 millions | 2018 | down 100.0% | volatile |
| 77 | South Sudan | 0 millions | 2017 | β | flat |
| 77 | Sweden | 0 millions | 2017 | β | volatile |
| 77 | Seychelles | 0 millions | 2016 | β | volatile |
| 77 | Syria | 0 millions | 2015 | down 100.0% | volatile |
| 77 | Turks and Caicos Islands | 0 millions | 2018 | down 100.0% | volatile |
| 77 | Togo | 0 millions | 2017 | down 100.0% | volatile |
| 77 | East Timor | 0 millions | 2014 | β | flat |
| 77 | Tunisia | 0 millions | 2015 | β | volatile |
| 77 | Turkey | 0 millions | 2006 | β | volatile |
| 77 | Tanzania | 0 millions | 2014 | β | flat |
| 77 | Uganda | 0 millions | 2014 | down 100.0% | volatile |
| 77 | Ukraine | 0 millions | 2017 | β | volatile |
| 77 | United States | 0 millions | 2017 | β | flat |
| 77 | Venezuela | 0 millions | 2017 | β | volatile |
| 77 | British Virgin Islands | 0 millions | 2019 | β | flat |
| 77 | Vietnam | 0 millions | 2013 | β | flat |
| 77 | Zambia | 0 millions | 2017 | down 100.0% | volatile |
| 77 | Zimbabwe | 0 millions | 2014 | β | volatile |
About this data
Total general (local, regional and central) government expenditure on education (current, capital, and transfers) not specified by level 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/