Statizoid

Government expenditure on education not specified by level, PPP$ (millions) by country

Total general (local, regional and central) government expenditure on education (current, capital, and transfers) not specified by level, in millions PPP$ (at purchasing power parity), in nominal value. It includes expenditure funded by transfers from international sources to government. Total government...

Countries reporting
144
Highest
29,440 millions
Italy
Lowest
0 millions
Zimbabwe
Median
0 millions
Years covered
49
1971–2019
Data points
2,036

What the numbers show

Government expenditure on education not specified by level, PPP$ (millions) is currently reported for 144 countries. The highest value is 29,440 millions in Italy; the lowest is 0 millions in Zimbabwe.

The median across all reporting countries is 0 millions, and the mean is 651.28 millions.

Over the past decade 34 countries rose and 32 fell. The largest increase was in Ghana (up 293,996.0%), and the largest decrease in Australia (down 100.0%).

Government expenditure on education not specified by level, PPP$: full country ranking

#Country LatestYear 10-year changeTrend
1 Italy 29,440 millions 2017 — volatile
2 Russia 15,324 millions 2017 up 49.0% volatile
3 Indonesia 12,129 millions 2015 up 81.2% volatile
4 South Africa 5,642 millions 2019 up 52.3% volatile
5 Germany 3,651 millions 2017 up 27.8% falling
6 Thailand 3,511 millions 2013 down 0.5% rising
7 Mexico 3,265 millions 2017 up 45.8% volatile
8 China 2,883 millions 1999 — volatile
9 Romania 2,036 millions 2017 up 91.8% rising
11 Macao 1,437 millions 2018 — volatile
12 Pakistan 1,339 millions 2017 — volatile
13 Hungary 1,258 millions 2017 up 210.1% volatile
14 Singapore 1,119 millions 2018 up 10.3% rising
15 Ghana 1,051 millions 2014 up 293,996.0% volatile
16 Democratic Republic of Congo 1,037 millions 2015 up 1,903.3% volatile
17 Kazakhstan 871.32 millions 2018 up 111.7% volatile
18 Norway 815.48 millions 2017 up 43.3% rising
19 Belgium 726.32 millions 2017 up 14.8% rising
20 Dominican Republic 641.07 millions 2019 up 1,071.2% volatile
21 Panama 570.07 millions 2011 up 398.0% volatile
22 Switzerland 472.35 millions 2017 up 2.7% rising
23 Senegal 469.68 millions 2018 up 553.4% volatile
24 Costa Rica 427.24 millions 2019 up 664.9% volatile
25 Belarus 400.92 millions 2017 — volatile
26 Portugal 391.41 millions 2017 up 3.9% falling
27 Kyrgyzstan 376.84 millions 2017 up 81.4% volatile
28 Tajikistan 363.34 millions 2015 up 874.1% volatile
29 Czechia 326.8 millions 2017 up 11.2% volatile
30 Uruguay 181.16 millions 2018 — volatile
31 Guatemala 178.95 millions 2019 down 6.8% volatile
32 Kuwait 175.13 millions 2011 up 42.7% volatile
33 Kenya 142.39 millions 2015 — volatile
34 Chad 126.83 millions 2018 — volatile
35 Madagascar 110.15 millions 2012 down 5.4% rising
36 Armenia 84.66 millions 2017 up 208.1% rising
37 Iceland 72.51 millions 2017 up 57.3% rising
38 Bahrain 68.73 millions 2017 — rising
39 Malta 66.51 millions 2017 down 13.4% volatile
40 Lebanon 64.07 millions 2013 up 0.7% volatile
41 Mauritius 62.85 millions 2019 up 58.1% rising
42 Colombia 61.68 millions 2018 down 18.4% volatile
43 Serbia 53.28 millions 2018 down 4.1% rising
44 Aruba 32.78 millions 2016 down 27.2% falling
45 Namibia 31.93 millions 2017 — volatile
46 Guyana 30.44 millions 2012 up 10.3% rising
47 Malawi 30.31 millions 2016 up 119.5% rising
48 Belize 28.98 millions 2018 up 1,398.2% volatile
49 Albania 26.79 millions 2017 — volatile
50 Moldova 25.99 millions 2018 down 79.3% volatile
51 Rwanda 22.28 millions 2018 up 157.9% volatile
52 Lesotho 19.39 millions 2018 up 113.7% volatile
53 Israel 14.95 millions 2017 down 97.7% flat
54 Burundi 14.8 millions 2013 — volatile
55 Mauritania 13.24 millions 2019 down 74.6% volatile
56 Saint Lucia 13.06 millions 2018 — volatile
57 Saint Vincent and the Grenadines 12.68 millions 2018 — volatile
58 Peru 8.84 millions 2019 — volatile
59 Cape Verde 7.01 millions 2017 — volatile
60 Vanuatu 6.48 millions 2017 up 98.4% volatile
61 Slovenia 5.41 millions 2017 up 2,909.9% volatile
62 Cote d'Ivoire 3.96 millions 2018 — volatile
63 Congo 3.02 millions 2010 down 90.6% volatile
64 Paraguay 2.53 millions 2016 — volatile
65 Eswatini 2.49 millions 2014 down 85.6% volatile
66 Central African Republic 1.31 millions 2011 — volatile
67 Slovakia 0.8167 millions 2017 down 99.3% volatile
68 Gabon 0.6617 millions 2014 — volatile
69 Niger 0.5828 millions 2017 — volatile
70 Cameroon 0.5559 millions 2013 — volatile
71 Saint Kitts and Nevis 0.3445 millions 2016 — volatile
72 Afghanistan 0 millions 2017 — flat
72 Argentina 0 millions 2017 — volatile
72 Australia 0 millions 2017 down 100.0% volatile
72 Austria 0 millions 2017 — volatile
72 Azerbaijan 0 millions 2018 down 100.0% volatile
72 Benin 0 millions 2015 — volatile
72 Burkina Faso 0 millions 2016 down 100.0% volatile
72 Bangladesh 0 millions 2019 — volatile
72 Bulgaria 0 millions 2017 — flat
72 Bermuda 0 millions 2017 — volatile
72 Brazil 0 millions 2017 — flat
72 Barbados 0 millions 2017 — volatile
72 Canada 0 millions 2017 — flat
72 Chile 0 millions 2016 — volatile
72 Comoros 0 millions 2015 — volatile
72 Cuba 0 millions 2010 — flat
72 Cyprus 0 millions 2017 — volatile
72 Denmark 0 millions 2017 down 100.0% falling
72 Ecuador 0 millions 2019 — volatile
72 Egypt 0 millions 1996 — flat
72 Spain 0 millions 2016 — volatile
72 Estonia 0 millions 2017 down 100.0% volatile
72 Ethiopia 0 millions 2013 — volatile
72 Finland 0 millions 2017 — volatile
72 United Kingdom 0 millions 2017 — volatile
72 Georgia 0 millions 2018 down 100.0% volatile
72 Guinea 0 millions 2018 down 100.0% volatile
72 Gambia 0 millions 2015 down 100.0% volatile
72 Greece 0 millions 2017 — volatile
72 Croatia 0 millions 2015 down 100.0% volatile
72 India 0 millions 2013 — volatile
72 Ireland 0 millions 2017 — volatile
72 Iran 0 millions 2018 — volatile
72 Jamaica 0 millions 2019 — volatile
72 Jordan 0 millions 2019 — volatile
72 Japan 0 millions 2017 down 100.0% falling
72 Cambodia 0 millions 2014 — flat
72 South Korea 0 millions 2016 — volatile
72 Laos 0 millions 2014 down 100.0% volatile
72 Sri Lanka 0 millions 2018 — volatile
72 Lithuania 0 millions 2017 — volatile
72 Luxembourg 0 millions 2017 — volatile
72 Latvia 0 millions 2017 — volatile
72 Morocco 0 millions 2009 — volatile
72 Maldives 0 millions 2019 — flat
72 North Macedonia 0 millions 1996 — flat
72 Mali 0 millions 2017 — flat
72 Mongolia 0 millions 2016 — flat
72 Malaysia 0 millions 2019 — volatile
72 Netherlands 0 millions 2017 — volatile
72 Nepal 0 millions 2015 down 100.0% volatile
72 New Zealand 0 millions 2017 down 100.0% volatile
72 Oman 0 millions 2019 — volatile
72 Philippines 0 millions 2009 down 100.0% volatile
72 Poland 0 millions 2017 — volatile
72 Saudi Arabia 0 millions 1998 — flat
72 Sierra Leone 0 millions 2019 down 100.0% volatile
72 El Salvador 0 millions 2018 down 100.0% volatile
72 South Sudan 0 millions 2017 — flat
72 Sweden 0 millions 2017 — volatile
72 Seychelles 0 millions 2016 — volatile
72 Togo 0 millions 2017 down 100.0% volatile
72 East Timor 0 millions 2014 — flat
72 Tunisia 0 millions 2015 — volatile
72 Turkey 0 millions 2006 — volatile
72 Tanzania 0 millions 2014 — flat
72 Uganda 0 millions 2014 down 100.0% volatile
72 Ukraine 0 millions 2017 — volatile
72 United States 0 millions 2017 — flat
72 Venezuela 0 millions 2017 — volatile
72 British Virgin Islands 0 millions 2019 — volatile
72 Vietnam 0 millions 2013 — flat
72 Zambia 0 millions 2017 down 100.0% volatile
72 Zimbabwe 0 millions 2014 — volatile

About this data

Indicator
Government expenditure on education not specified by level, PPP$ (millions)
Unit
millions
Source
UNESCO Institute for Statistics
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
145 places, 2,036 data points, 1971–2019
Last refreshed

Total general (local, regional and central) government expenditure on education (current, capital, and transfers) not specified by level, 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/