Statizoid

Government expenditure on post-secondary non-tertiary education, PPP$ (millions) by country

Total general (local, regional and central) government expenditure on post-secondary non-tertiary 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...

Countries reporting
90
Highest
6,763 millions
Germany
Lowest
0 millions
Belize
Median
26.85 millions
Years covered
25
1995–2019
Data points
1,059

What the numbers show

Government expenditure on post-secondary non-tertiary education, PPP$ (millions) is currently reported for 90 countries. The highest value is 6,763 millions in Germany; the lowest is 0 millions in Belize.

The median across all reporting countries is 26.85 millions, and the mean is 269.56 millions.

Over the past decade 43 countries rose and 26 fell. The largest increase was in Madagascar (up 2,045.2%), and the largest decrease in Kazakhstan (down 100.0%).

Government expenditure on post-secondary non-tertiary education, PPP$: full country ranking

#Country LatestYear 10-year changeTrend
1 Germany 6,763 millions 2017 up 78.4% rising
2 United States 3,504 millions 2017 — volatile
3 Iran 1,806 millions 2018 up 146.0% rising
4 Italy 1,792 millions 2015 up 79.6% volatile
5 Ukraine 1,400 millions 2017 down 15.8% falling
6 Australia 1,216 millions 2017 up 105.7% rising
7 Singapore 1,127 millions 2018 up 68.2% rising
9 Hungary 811.34 millions 2017 up 220.5% volatile
10 Hong Kong 541.99 millions 2019 up 35.5% rising
11 Kenya 381.39 millions 2015 — volatile
12 Belarus 357.56 millions 2017 down 20.3% falling
13 Ireland 344.57 millions 2017 down 50.5% rising
14 Ethiopia 325.59 millions 2015 up 303.3% rising
15 India 299.9 millions 2013 down 50.5% rising
16 Bangladesh 247.52 millions 2019 up 156.1% volatile
17 Sweden 228.26 millions 2017 up 73.6% rising
18 Sri Lanka 221.9 millions 2018 up 53.0% rising
19 New Zealand 221.59 millions 2017 up 1.3% rising
20 Philippines 208.43 millions 2009 up 36.5% rising
21 United Kingdom 199.61 millions 2009 — volatile
22 Tanzania 180.27 millions 2014 up 140.2% rising
23 Poland 177.5 millions 2017 down 33.6% rising
24 Romania 158.72 millions 2017 up 234.4% volatile
25 Zimbabwe 141.85 millions 2014 up 529.2% volatile
26 Norway 124.02 millions 2017 — volatile
27 Lithuania 112.39 millions 2017 up 193.1% volatile
28 Cote d'Ivoire 103.06 millions 2005 — rising
29 Kyrgyzstan 91.94 millions 2017 up 53.7% volatile
30 Austria 84.68 millions 2017 up 43.6% falling
31 Mongolia 83.92 millions 2017 up 202.2% volatile
32 Azerbaijan 75.72 millions 2018 — volatile
33 Namibia 75.57 millions 2014 up 714.0% volatile
34 Burkina Faso 71.93 millions 2015 up 53.1% rising
35 Morocco 71.48 millions 2008 up 98.1% rising
36 Jamaica 68.71 millions 2019 up 288.9% volatile
37 Rwanda 61.99 millions 2018 up 809.7% volatile
38 Afghanistan 61.69 millions 2017 up 66.1% rising
39 Slovakia 57.22 millions 2017 — volatile
40 Georgia 47.57 millions 2018 up 214.2% rising
41 Estonia 44.17 millions 2017 down 28.4% rising
42 Greece 42.12 millions 2017 down 75.4% volatile
43 Latvia 39.17 millions 2017 up 198.9% rising
44 Tajikistan 38.94 millions 2015 up 134.2% volatile
45 Madagascar 33.15 millions 2012 up 2,045.2% rising
46 Mauritius 29.4 millions 2019 up 26.2% rising
47 Israel 24.3 millions 2017 down 1.5% falling
48 Sierra Leone 19.73 millions 2019 up 250.8% volatile
49 Czechia 14 millions 2017 down 83.9% volatile
50 Saint Vincent and the Grenadines 12.58 millions 2018 up 96.7% rising
51 Seychelles 11.7 millions 2016 up 19.1% rising
52 Iceland 11.3 millions 2017 — volatile
53 Mali 10.87 millions 2017 — volatile
54 Bulgaria 8.99 millions 2017 up 219.7% volatile
55 Dominica 8.48 millions 2019 up 416.8% volatile
56 Mauritania 8.16 millions 2013 up 1,687.7% volatile
57 Saint Lucia 7.86 millions 2018 up 123.6% rising
58 Barbados 6.55 millions 2012 up 13.6% rising
59 Lesotho 6.37 millions 2018 down 72.1% falling
60 Peru 4.7 millions 2011 down 42.4% rising
61 Laos 4.53 millions 2014 down 82.4% volatile
62 Guyana 4.27 millions 2012 up 88.5% rising
63 Malawi 3.86 millions 2016 down 29.4% rising
64 Malaysia 3.76 millions 2013 down 97.5% volatile
65 Vanuatu 2.56 millions 2017 up 225.4% volatile
66 Togo 2.19 millions 2016 — volatile
67 Eswatini 2.07 millions 2014 down 62.3% volatile
68 Maldives 1.7 millions 2016 — volatile
69 Panama 1.31 millions 2011 up 10.0% volatile
70 Luxembourg 1.29 millions 2017 up 19.0% rising
71 Niger 1.04 millions 2017 — volatile
72 Malta 0.8328 millions 2017 down 72.0% volatile
73 Gabon 0.5084 millions 2014 — volatile
74 Moldova 0.4874 millions 2018 down 90.9% volatile
75 Comoros 0.1123 millions 2015 down 92.9% volatile
76 Denmark 0 millions 2011 — volatile
76 Ghana 0 millions 2014 — volatile
76 Kazakhstan 0 millions 2016 down 100.0% volatile
76 Colombia 0 millions 2018 — volatile
76 Cape Verde 0 millions 2017 down 100.0% volatile
76 Benin 0 millions 2015 — volatile
76 Netherlands 0 millions 2017 down 100.0% volatile
76 Senegal 0 millions 2018 down 100.0% volatile
76 Switzerland 0 millions 2011 down 100.0% falling
76 Bhutan 0 millions 2015 down 100.0% volatile
76 Portugal 0 millions 2009 — flat
76 Slovenia 0 millions 2011 — flat
76 Finland 0 millions 2003 — flat
76 Serbia 0 millions 2012 — flat
76 Russia 0 millions 2008 down 100.0% volatile
76 Belize 0 millions 2015 down 100.0% volatile

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

About this data

Indicator
Government expenditure on post-secondary non-tertiary education, PPP$ (millions)
Unit
millions
Source
UNESCO Institute for Statistics
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
91 places, 1,059 data points, 1995–2019
Last refreshed

Total general (local, regional and central) government expenditure on post-secondary non-tertiary 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/