Government expenditure on secondary education, constant 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 constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total...

Countries reporting
134
Highest
325,626 millions
United States
Lowest
13.29 millions
Vanuatu
Median
1,241 millions
Years covered
30
1990–2019
Data points
1,898

What the numbers show

Government expenditure on secondary education, constant PPP$ (millions) is currently reported for 134 countries. The highest value is 325,626 millions in United States; the lowest is 13.29 millions in Vanuatu.

The median across all reporting countries is 1,241 millions, and the mean is 10,266 millions.

The gap between the highest and lowest reporting country is a factor of about 24,501.

Over the past decade 95 countries rose and 23 fell. The largest increase was in Liberia (up 1,073.8%), and the largest decrease in Namibia (down 32.3%).

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

#Country LatestYear 10-year changeTrend
1 United States 325,626 millions 2017 β€” rising
2 India 92,052 millions 2013 up 106.6% rising
3 Germany 87,501 millions 2017 up 9.9% falling
4 Brazil 76,014 millions 2017 up 35.8% rising
5 France 70,308 millions 2017 β€” rising
6 Japan 67,467 millions 2017 up 11.0% rising
7 United Kingdom 58,117 millions 2017 up 1.6% rising
8 Italy 42,768 millions 2015 down 15.8% flat
9 Mexico 37,173 millions 2017 up 33.1% rising
10 South Korea 34,214 millions 2016 β€” volatile
11 Spain 28,813 millions 2017 down 0.8% rising
12 China 28,376 millions 1999 up 123.1% rising
13 Indonesia 25,371 millions 2015 up 95.2% rising
14 Argentina 22,414 millions 2017 up 43.8% rising
15 Australia 19,913 millions 2017 up 18.4% rising
16 Netherlands 19,886 millions 2017 β€” rising
17 Iran 15,738 millions 2018 down 12.3% rising
18 Poland 15,573 millions 2017 up 3.5% rising
19 Belgium 15,039 millions 2013 β€” rising
20 Malaysia 14,167 millions 2019 up 34.0% rising
21 South Africa 14,010 millions 2019 up 38.7% rising
22 Thailand 13,224 millions 2013 up 76.9% rising
23 Colombia 12,175 millions 2018 up 50.9% rising
24 Vietnam 11,803 millions 2013 up 69.2% rising
25 Sweden 11,258 millions 2017 up 4.1% rising
26 Austria 10,164 millions 2017 down 2.7% rising
27 Switzerland 9,942 millions 2015 up 12.0% rising
28 Kazakhstan 8,796 millions 2016 β€” rising
29 Ukraine 8,389 millions 2017 down 16.4% rising
30 Pakistan 8,051 millions 2015 β€” volatile
31 Portugal 7,589 millions 2017 up 14.6% rising
32 Norway 7,356 millions 2017 up 8.6% rising
33 Czechia 7,027 millions 2017 up 8.9% rising
34 Chile 6,734 millions 2017 up 67.9% volatile
35 Denmark 6,715 millions 2017 down 16.0% rising
36 Romania 6,626 millions 2017 up 9.6% rising
37 Israel 6,340 millions 2017 up 72.1% rising
38 Morocco 6,338 millions 2013 up 79.1% rising
39 Finland 6,134 millions 2017 down 1.3% rising
40 Bangladesh 5,883 millions 2019 up 100.3% volatile
41 Tunisia 5,553 millions 2015 up 140.3% volatile
42 Peru 5,370 millions 2019 up 89.4% rising
43 Hungary 5,036 millions 2017 down 8.4% rising
44 Hong Kong 4,657 millions 2019 up 15.6% rising
45 New Zealand 4,272 millions 2017 β€” rising
46 Greece 4,221 millions 2017 down 18.3% rising
47 Ireland 4,069 millions 2017 down 4.0% rising
48 Philippines 3,904 millions 2009 up 62.9% rising
49 Kenya 3,507 millions 2015 up 179.0% volatile
50 Singapore 3,411 millions 2018 up 44.5% rising
51 Oman 3,288 millions 2019 up 98.4% volatile
52 Serbia 3,019 millions 2018 up 166.2% volatile
53 Turkey 2,872 millions 1995 down 11.0% flat
54 Slovakia 2,863 millions 2017 up 30.8% rising
55 Sri Lanka 2,709 millions 2018 up 82.8% volatile
56 Costa Rica 2,388 millions 2019 up 81.9% rising
57 Kuwait 2,359 millions 2014 up 6.9% rising
58 Bulgaria 2,313 millions 2017 up 12.8% rising
59 Dominican Republic 2,272 millions 2019 up 200.8% volatile
60 Ghana 2,115 millions 2014 up 106.8% rising
61 Myanmar 2,061 millions 2019 up 600.4% volatile
62 Ecuador 1,473 millions 2018 up 110.8% rising
63 Cote d'Ivoire 1,442 millions 2018 up 48.7% rising
64 Ethiopia 1,385 millions 2015 up 44.1% volatile
65 Lithuania 1,379 millions 2017 down 28.8% falling
66 Jordan 1,281 millions 2019 down 7.0% rising
67 Slovenia 1,248 millions 2017 down 11.6% rising
68 Uruguay 1,234 millions 2018 up 156.7% volatile
69 Luxembourg 1,063 millions 2017 up 30.3% rising
70 Cameroon 968.68 millions 2012 up 22.0% rising
71 Paraguay 886.19 millions 2016 up 66.0% rising
72 Nepal 836.03 millions 2015 up 200.5% rising
73 Mauritius 826.93 millions 2019 up 189.9% volatile
74 Latvia 809.78 millions 2017 down 24.5% rising
75 Cyprus 781.36 millions 2017 down 7.2% rising
76 Afghanistan 722.11 millions 2017 up 27.2% rising
77 El Salvador 676.1 millions 2018 up 51.7% rising
78 Zimbabwe 662.17 millions 2014 β€” volatile
79 Moldova 655.62 millions 2018 down 12.3% falling
80 Brunei 652.51 millions 2016 up 187.1% rising
81 Tanzania 652.04 millions 2014 up 263.1% rising
82 Panama 613.26 millions 2011 up 28.0% rising
83 Trinidad and Tobago 602.16 millions 2009 up 195.1% rising
84 Estonia 587.11 millions 2017 down 27.4% rising
85 Mali 583.26 millions 2017 up 38.6% rising
86 Guatemala 572.82 millions 2019 up 38.7% rising
87 Jamaica 547.1 millions 2019 down 12.0% rising
88 Zambia 511.07 millions 2017 up 625.5% volatile
89 Congo 503.32 millions 2010 up 397.1% volatile
90 Laos 466.29 millions 2014 up 409.2% volatile
91 Armenia 452.78 millions 2017 up 7.5% rising
92 Cambodia 432.23 millions 2014 up 1,046.1% volatile
93 Lebanon 431.13 millions 2013 β€” volatile
94 Senegal 427.25 millions 2018 up 35.4% rising
95 Mongolia 420.89 millions 2017 up 113.9% rising
96 Iceland 401.79 millions 2017 up 8.8% rising
97 Malta 373.43 millions 2017 up 12.9% rising
98 Burkina Faso 356.74 millions 2016 up 255.7% volatile
99 Uganda 336.65 millions 2014 up 74.6% rising
100 Albania 291.74 millions 2017 β€” rising
101 Rwanda 269.89 millions 2018 up 133.3% rising
102 Malawi 234.98 millions 2016 up 304.3% volatile
103 Benin 234.64 millions 2015 up 30.6% rising
104 Eswatini 224.78 millions 2014 up 130.1% rising
105 Gabon 224.4 millions 2014 β€” flat
106 Bhutan 210.4 millions 2015 up 77.0% rising
107 Sierra Leone 197.56 millions 2019 up 191.4% volatile
108 North Macedonia 180.54 millions 1996 β€” falling
109 Madagascar 155.68 millions 2012 down 13.1% rising
110 Guinea 150.3 millions 2018 up 269.0% rising
111 Namibia 147.65 millions 2017 down 32.3% falling
112 Burundi 134.56 millions 2013 up 148.7% rising
113 Lesotho 131.71 millions 2018 up 19.4% rising
114 Mauritania 117.73 millions 2019 up 0.1% rising
115 Niger 114.1 millions 2017 up 35.5% volatile
116 Chad 109.2 millions 2018 down 8.6% rising
117 Liberia 89.51 millions 2018 up 1,073.8% volatile
118 Togo 88.8 millions 2016 up 12.7% rising
119 Maldives 86.62 millions 2019 up 7.4% falling
120 Barbados 86.58 millions 2016 up 13.5% falling
121 Belize 82.11 millions 2018 up 60.6% rising
122 Cape Verde 73.88 millions 2017 up 22.5% rising
123 Aruba 72.93 millions 2016 up 49.4% rising
124 Guyana 62.14 millions 2012 up 16.3% rising
125 Saint Lucia 35.73 millions 2018 up 7.8% rising
126 South Sudan 35.61 millions 2017 β€” falling
127 Gambia 30.46 millions 2015 up 457.1% volatile
128 Seychelles 30.03 millions 2016 up 34.6% falling
129 Saint Vincent and the Grenadines 24.68 millions 2018 up 6.2% rising
130 Saint Kitts and Nevis 18.87 millions 2016 β€” rising
131 Comoros 16.22 millions 2015 up 11.2% rising
132 Dominica 14.54 millions 2019 up 22.9% volatile
133 Central African Republic 14.13 millions 2010 β€” rising
134 Vanuatu 13.29 millions 2017 down 4.3% falling

About this data

Indicator
Government expenditure on secondary education, constant PPP$ (millions)
Unit
millions
Source
UNESCO Institute for Statistics
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
134 places, 1,898 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 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/