Government expenditure on secondary education, PPP$ (millions) by country

Total general (local, regional and central) government expenditure on secondary 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...

Countries reporting
135
Highest
325,626 millions
United States
Lowest
11.28 millions
Central African Republic
Median
1,263 millions
Years covered
30
1990–2019
Data points
1,909

What the numbers show

Government expenditure on secondary education, PPP$ (millions) is currently reported for 135 countries. The highest value is 325,626 millions in United States; the lowest is 11.28 millions in Central African Republic.

The median across all reporting countries is 1,263 millions, and the mean is 10,216 millions.

The gap between the highest and lowest reporting country is a factor of about 28,866.

Over the past decade 114 countries rose and 6 fell. The largest increase was in Venezuela (up 2,631.8%), and the largest decrease in Iran (down 27.6%).

Government expenditure on secondary education, PPP$: full country ranking

#Country LatestYear 10-year changeTrend
1 United States 325,626 millions 2017 β€” rising
2 India 97,828 millions 2013 up 159.8% rising
3 Germany 87,501 millions 2017 up 42.6% rising
4 Brazil 76,014 millions 2017 up 46.7% rising
5 France 70,308 millions 2017 β€” rising
6 Japan 67,467 millions 2017 up 27.3% rising
7 United Kingdom 58,117 millions 2017 up 23.9% rising
8 Italy 39,029 millions 2015 up 13.4% rising
9 Mexico 37,173 millions 2017 up 72.3% volatile
10 South Korea 33,965 millions 2016 β€” volatile
11 Spain 28,813 millions 2017 up 21.1% rising
12 Indonesia 25,615 millions 2015 up 99.5% rising
13 China 23,484 millions 1999 up 153.1% rising
14 Argentina 22,414 millions 2017 up 94.6% volatile
15 Australia 19,913 millions 2017 up 44.2% rising
16 Netherlands 19,886 millions 2017 β€” volatile
17 Iran 15,956 millions 2018 down 27.6% rising
18 Poland 15,573 millions 2017 up 32.9% rising
19 Malaysia 14,754 millions 2019 up 41.4% rising
20 South Africa 14,467 millions 2019 up 53.8% rising
21 Belgium 13,614 millions 2013 β€” volatile
22 Thailand 12,910 millions 2013 up 113.8% volatile
23 Colombia 12,605 millions 2018 up 76.6% rising
24 Sweden 11,258 millions 2017 up 25.6% rising
25 Vietnam 10,877 millions 2013 up 91.9% rising
26 Austria 10,164 millions 2017 up 30.6% rising
27 Switzerland 9,608 millions 2015 up 62.5% rising
28 Kazakhstan 8,654 millions 2016 β€” rising
29 Ukraine 8,389 millions 2017 up 17.0% rising
30 Pakistan 8,202 millions 2015 β€” volatile
31 Portugal 7,589 millions 2017 up 43.9% rising
32 Norway 7,356 millions 2017 up 22.3% rising
33 Czechia 7,027 millions 2017 up 42.1% rising
34 Chile 6,734 millions 2017 up 95.0% volatile
35 Denmark 6,715 millions 2017 up 15.7% rising
36 Romania 6,626 millions 2017 up 58.4% rising
37 Morocco 6,417 millions 2013 up 109.4% rising
38 Israel 6,340 millions 2017 up 111.7% rising
39 Venezuela 6,252 millions 2009 up 2,631.8% volatile
40 Finland 6,134 millions 2017 up 27.1% rising
41 Bangladesh 6,134 millions 2019 up 147.0% volatile
42 Peru 5,592 millions 2019 up 106.4% volatile
43 Tunisia 5,389 millions 2015 up 155.3% volatile
44 Hungary 5,036 millions 2017 up 23.5% rising
45 Hong Kong 4,840 millions 2019 up 26.0% rising
46 New Zealand 4,272 millions 2017 β€” rising
47 Greece 4,221 millions 2017 up 11.6% rising
48 Ireland 4,069 millions 2017 up 22.2% rising
49 Kuwait 3,821 millions 2014 up 30.9% rising
50 Philippines 3,669 millions 2009 up 98.2% rising
51 Singapore 3,475 millions 2018 up 55.9% rising
52 Oman 3,424 millions 2019 up 58.3% volatile
53 Kenya 3,106 millions 2015 up 281.0% volatile
54 Serbia 3,055 millions 2018 up 212.1% volatile
55 Slovakia 2,863 millions 2017 up 52.9% volatile
56 Sri Lanka 2,773 millions 2018 up 110.8% volatile
57 Costa Rica 2,485 millions 2019 up 139.4% volatile
58 Ghana 2,467 millions 2014 up 243.2% volatile
59 Dominican Republic 2,366 millions 2019 up 255.0% volatile
60 Bulgaria 2,313 millions 2017 up 46.1% rising
61 Turkey 2,171 millions 1995 up 0.5% rising
62 Myanmar 2,146 millions 2019 up 605.5% volatile
63 Ecuador 1,508 millions 2018 up 148.3% rising
64 Cote d'Ivoire 1,476 millions 2018 up 125.2% rising
65 Lithuania 1,379 millions 2017 down 3.4% rising
66 Jordan 1,335 millions 2019 up 16.2% rising
67 Ethiopia 1,276 millions 2015 up 64.3% volatile
68 Uruguay 1,263 millions 2018 up 195.4% volatile
69 Slovenia 1,248 millions 2017 up 6.4% rising
70 Luxembourg 1,063 millions 2017 up 79.1% rising
71 Paraguay 876.91 millions 2016 up 77.7% rising
72 Cameroon 869.61 millions 2012 up 38.6% rising
73 Nepal 861.1 millions 2015 up 305.5% volatile
74 Mauritius 844.22 millions 2019 up 223.7% volatile
75 Latvia 809.78 millions 2017 up 5.0% rising
76 Cyprus 781.36 millions 2017 up 12.7% rising
77 Afghanistan 722.11 millions 2017 up 55.7% rising
78 Brunei 698.71 millions 2016 up 142.8% volatile
79 El Salvador 692.05 millions 2018 up 89.4% rising
80 Congo 691.65 millions 2010 up 489.4% volatile
81 Moldova 671.09 millions 2018 up 22.4% rising
82 Tanzania 638.9 millions 2014 up 304.3% rising
83 Trinidad and Tobago 628.53 millions 2009 up 259.0% rising
84 Guatemala 596.56 millions 2019 up 60.6% volatile
85 Estonia 587.11 millions 2017 up 2.1% rising
86 Zimbabwe 585.36 millions 2014 β€” volatile
87 Mali 583.26 millions 2017 up 64.7% rising
88 Jamaica 581.78 millions 2019 up 9.6% rising
89 Zambia 511.07 millions 2017 up 684.2% volatile
90 Armenia 452.78 millions 2017 up 19.4% rising
91 Panama 444.42 millions 2011 up 57.3% rising
92 Laos 442.23 millions 2014 up 626.6% volatile
93 Senegal 437.33 millions 2018 up 45.5% rising
94 Mongolia 420.89 millions 2017 up 139.2% rising
95 Cambodia 409.24 millions 2014 up 1,363.0% volatile
96 Iceland 401.79 millions 2017 up 37.6% rising
97 Malta 373.43 millions 2017 up 40.0% volatile
98 Lebanon 368.18 millions 2013 β€” volatile
99 Burkina Faso 339.29 millions 2016 up 314.6% volatile
100 Uganda 337.97 millions 2014 up 83.4% rising
101 Albania 291.74 millions 2017 β€” rising
102 Rwanda 278.24 millions 2018 up 172.6% rising
103 Malawi 232.99 millions 2016 up 350.9% volatile
104 Benin 229.93 millions 2015 up 60.9% rising
105 Eswatini 227.89 millions 2014 up 173.8% volatile
106 Gabon 223.45 millions 2014 β€” rising
107 Sierra Leone 205.74 millions 2019 up 282.6% volatile
108 Bhutan 196.25 millions 2015 up 122.2% rising
109 Madagascar 154.91 millions 2012 down 3.8% rising
110 Guinea 153.84 millions 2018 up 335.9% rising
111 Namibia 147.65 millions 2017 down 20.2% falling
112 Mauritania 122.61 millions 2019 up 23.8% rising
113 Lesotho 122.24 millions 2018 up 29.8% rising
114 Niger 114.1 millions 2017 up 38.1% volatile
115 Burundi 113.66 millions 2013 up 217.9% volatile
116 Chad 111.78 millions 2018 down 9.9% rising
117 North Macedonia 101.57 millions 1996 β€” falling
118 Liberia 98.43 millions 2018 up 1,640.3% volatile
119 Maldives 90.21 millions 2019 up 45.1% rising
120 Togo 86.66 millions 2016 up 22.3% rising
121 Barbados 86.13 millions 2016 up 25.5% rising
122 Belize 81.4 millions 2018 up 59.1% rising
123 Cape Verde 73.88 millions 2017 up 38.7% rising
124 Aruba 71.95 millions 2016 up 68.6% rising
125 Guyana 59 millions 2012 up 42.3% rising
126 Saint Lucia 36.29 millions 2018 up 25.0% rising
127 Gambia 30.58 millions 2015 up 492.6% volatile
128 Seychelles 29.18 millions 2016 up 64.8% rising
129 Bermuda 29 millions 2017 down 22.2% rising
130 Saint Vincent and the Grenadines 25.26 millions 2018 up 27.5% rising
131 Saint Kitts and Nevis 18.04 millions 2016 β€” volatile
132 Dominica 15.14 millions 2019 up 53.6% volatile
133 Comoros 14.85 millions 2015 up 54.3% rising
134 Vanuatu 13.29 millions 2017 up 9.5% rising
135 Central African Republic 11.28 millions 2010 β€” rising

About this data

Indicator
Government expenditure on secondary education, PPP$ (millions)
Unit
millions
Source
UNESCO Institute for Statistics
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
135 places, 1,909 data points, 1990–2019
Last refreshed

Total general (local, regional and central) government expenditure on secondary 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/