Statizoid

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...

Countries reporting
140
Highest
22,833 millions
Italy
Lowest
0 millions
Zimbabwe
Median
0.9158 millions
Years covered
50
1970–2019
Data points
2,349

What the numbers show

Government expenditure on education not specified by level, US$ (millions) is currently reported for 140 countries. The highest value is 22,833 millions in Italy; the lowest is 0 millions in Zimbabwe.

The median across all reporting countries is 0.9158 millions, and the mean is 387.16 millions.

Over the past decade 37 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 LatestYear 10-year changeTrend
1 Italy 22,833 millions 2017 — 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
8 Hong Kong 1,215 millions 2019 up 122.8% rising
9 Norway 978.16 millions 2017 up 12.8% rising
10 China 948.55 millions 1999 — volatile
11 Macao 928.17 millions 2018 — 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 — 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 — volatile
29 Belarus 126.37 millions 2017 — 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 — volatile
36 Chad 57.08 millions 2018 — volatile
37 Angola 46.67 millions 2006 — 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 — 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 — volatile
53 Malawi 11.32 millions 2016 up 78.6% volatile
54 Saint Lucia 9.65 millions 2018 — volatile
55 Albania 9.31 millions 2017 — 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 — volatile
61 Vanuatu 6.4 millions 2017 up 105.5% volatile
62 Burundi 5.13 millions 2013 — volatile
63 Peru 4.61 millions 2019 — volatile
64 Mauritania 4.1 millions 2019 down 78.5% volatile
65 Cape Verde 3.48 millions 2017 — volatile
66 Slovenia 3.47 millions 2017 up 2,134.4% volatile
67 Cote d'Ivoire 1.77 millions 2018 — 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 — volatile
71 Central African Republic 0.7136 millions 2011 — volatile
72 Slovakia 0.4638 millions 2017 down 99.5% volatile
73 Gabon 0.416 millions 2014 — volatile
74 Cameroon 0.2714 millions 2013 — volatile
75 Saint Kitts and Nevis 0.26 millions 2016 — volatile
76 Niger 0.2593 millions 2017 — volatile
77 Afghanistan 0 millions 2017 — volatile
77 Argentina 0 millions 2017 — volatile
77 Australia 0 millions 2017 down 100.0% volatile
77 Austria 0 millions 2017 — volatile
77 Azerbaijan 0 millions 2018 down 100.0% volatile
77 Benin 0 millions 2015 — volatile
77 Burkina Faso 0 millions 2016 down 100.0% volatile
77 Bangladesh 0 millions 2019 — volatile
77 Bermuda 0 millions 2017 — volatile
77 Barbados 0 millions 2017 — volatile
77 Bhutan 0 millions 2015 down 100.0% volatile
77 Chile 0 millions 2016 — volatile
77 Comoros 0 millions 2015 — volatile
77 Cuba 0 millions 2010 — volatile
77 Cyprus 0 millions 2017 — volatile
77 Denmark 0 millions 2017 down 100.0% volatile
77 Ecuador 0 millions 2019 — volatile
77 Egypt 0 millions 1996 down 100.0% volatile
77 Spain 0 millions 2016 — volatile
77 Estonia 0 millions 2017 down 100.0% volatile
77 Ethiopia 0 millions 2013 — volatile
77 Finland 0 millions 2017 — volatile
77 Fiji 0 millions 2013 down 100.0% volatile
77 United Kingdom 0 millions 2017 — 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 — volatile
77 Croatia 0 millions 2015 down 100.0% volatile
77 India 0 millions 2013 — volatile
77 Ireland 0 millions 2017 — volatile
77 Iran 0 millions 2018 — volatile
77 Jamaica 0 millions 2019 — volatile
77 Jordan 0 millions 2019 — volatile
77 Japan 0 millions 2017 down 100.0% falling
77 South Korea 0 millions 2016 — volatile
77 Laos 0 millions 2014 down 100.0% volatile
77 Sri Lanka 0 millions 2018 — volatile
77 Lithuania 0 millions 2017 — volatile
77 Luxembourg 0 millions 2017 — volatile
77 Latvia 0 millions 2017 — volatile
77 Morocco 0 millions 2009 — volatile
77 Mali 0 millions 2017 — volatile
77 Malaysia 0 millions 2019 — volatile
77 Netherlands 0 millions 2017 — 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 — volatile
77 Philippines 0 millions 2009 down 100.0% volatile
77 Poland 0 millions 2017 — volatile
77 Sierra Leone 0 millions 2019 down 100.0% volatile
77 El Salvador 0 millions 2018 down 100.0% volatile
77 Sweden 0 millions 2017 — volatile
77 Seychelles 0 millions 2016 — 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 Tunisia 0 millions 2015 — volatile
77 Turkey 0 millions 2006 — volatile
77 Uganda 0 millions 2014 down 100.0% volatile
77 Ukraine 0 millions 2017 — volatile
77 Venezuela 0 millions 2017 — volatile
77 Zambia 0 millions 2017 down 100.0% volatile
77 Zimbabwe 0 millions 2014 — volatile

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Government expenditure on education not specified by level, US$ by country. Statizoid, drawing on UNESCO Institute for Statistics. Retrieved 24 September 2026, from https://reference.statizoid.com/stat/government-expenditure-on-education-not-specified-by-level-us-millions/

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About this data

Indicator
Government expenditure on education not specified by level, US$ (millions)
Unit
millions
Source
UNESCO Institute for Statistics
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
154 places, 2,349 data points, 1970–2019
Last refreshed

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/