Statizoid

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

Countries reporting
91
Highest
6,763 millions
Germany
Lowest
0 millions
Senegal
Median
24.3 millions
Years covered
25
1995–2019
Data points
1,064

What the numbers show

Government expenditure on post-secondary non-tertiary education, constant PPP$ (millions) is currently reported for 91 countries. The highest value is 6,763 millions in Germany; the lowest is 0 millions in Senegal.

The median across all reporting countries is 24.3 millions, and the mean is 269.68 millions.

Over the past decade 39 countries rose and 30 fell. The largest increase was in Madagascar (up 1,568.6%), and the largest decrease in Switzerland (down 100.0%).

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

#Country LatestYear 10-year changeTrend
1 Germany 6,763 millions 2017 up 37.5% rising
2 United States 3,504 millions 2017 — volatile
3 Italy 1,963 millions 2015 up 33.3% rising
4 Iran 1,781 millions 2018 up 198.1% rising
5 Ukraine 1,400 millions 2017 down 39.8% falling
6 Australia 1,216 millions 2017 up 69.0% rising
7 Singapore 1,106 millions 2018 up 56.0% rising
9 Hungary 811.34 millions 2017 up 137.9% rising
10 Hong Kong 521.52 millions 2019 up 24.4% rising
11 Kenya 430.59 millions 2015 — volatile
12 Belarus 357.56 millions 2017 down 31.9% falling
13 Ethiopia 353.31 millions 2015 up 253.6% rising
14 Ireland 344.57 millions 2017 down 61.2% rising
15 India 282.2 millions 2013 down 60.6% flat
16 Bangladesh 237.42 millions 2019 up 107.6% volatile
17 United Kingdom 232.11 millions 2009 — volatile
18 Sweden 228.26 millions 2017 up 43.9% rising
19 Philippines 221.81 millions 2009 up 12.2% falling
20 New Zealand 221.59 millions 2017 down 22.5% rising
21 Sri Lanka 216.78 millions 2018 up 32.6% rising
22 Tanzania 183.98 millions 2014 up 115.8% rising
23 Poland 177.5 millions 2017 down 48.2% rising
24 Cote d'Ivoire 164.45 millions 2005 — rising
25 Zimbabwe 160.47 millions 2014 up 466.7% volatile
26 Romania 158.72 millions 2017 up 131.4% volatile
27 Norway 124.02 millions 2017 — volatile
28 Lithuania 112.39 millions 2017 up 115.9% rising
29 Kyrgyzstan 91.94 millions 2017 up 10.2% volatile
30 Austria 84.68 millions 2017 up 7.0% falling
31 Mongolia 83.92 millions 2017 up 170.2% volatile
32 Burkina Faso 81.21 millions 2015 up 36.9% rising
33 Namibia 74.23 millions 2014 up 529.1% volatile
34 Azerbaijan 73.97 millions 2018 — volatile
35 Morocco 72.31 millions 2008 up 60.4% rising
36 Jamaica 64.61 millions 2019 up 212.1% volatile
37 Afghanistan 61.69 millions 2017 up 35.7% rising
38 Rwanda 60.13 millions 2018 up 678.8% volatile
39 Slovakia 57.22 millions 2017 — volatile
40 Georgia 46.48 millions 2018 up 133.9% rising
41 Estonia 44.17 millions 2017 down 49.1% rising
42 Greece 42.12 millions 2017 down 82.0% volatile
43 Latvia 39.17 millions 2017 up 114.8% rising
44 Tajikistan 36.73 millions 2015 up 107.1% rising
45 Madagascar 33.31 millions 2012 up 1,568.6% rising
46 Mauritius 28.8 millions 2019 up 13.0% rising
47 Israel 24.3 millions 2017 down 20.0% falling
48 Sierra Leone 18.95 millions 2019 up 167.1% volatile
49 Czechia 14 millions 2017 down 87.7% volatile
50 Saint Vincent and the Grenadines 12.29 millions 2018 up 63.8% rising
51 Seychelles 12.04 millions 2016 up 6.1% rising
52 Iceland 11.3 millions 2017 — volatile
53 Mali 10.87 millions 2017 — volatile
54 Mauritania 9 millions 2013 up 1,440.5% volatile
55 Bulgaria 8.99 millions 2017 up 146.9% volatile
56 Dominica 8.15 millions 2019 up 305.5% volatile
57 Saint Lucia 7.74 millions 2018 up 93.0% rising
58 Lesotho 6.86 millions 2018 down 74.4% falling
59 Barbados 6.29 millions 2012 down 7.7% falling
60 Laos 4.78 millions 2014 down 87.7% volatile
61 Peru 4.76 millions 2011 down 52.4% volatile
62 Guyana 4.5 millions 2012 up 54.1% rising
63 Malawi 3.89 millions 2016 down 25.8% falling
64 Malaysia 3.66 millions 2013 down 97.9% volatile
65 South Sudan 2.69 millions 2017 — volatile
66 Vanuatu 2.56 millions 2017 up 184.2% volatile
67 Togo 2.25 millions 2016 — volatile
68 Eswatini 2.04 millions 2014 down 68.3% volatile
69 Panama 1.8 millions 2011 down 10.6% volatile
70 Maldives 1.72 millions 2016 — volatile
71 Luxembourg 1.29 millions 2017 down 5.8% flat
72 Niger 1.04 millions 2017 — volatile
73 Malta 0.8328 millions 2017 down 77.4% volatile
74 Gabon 0.5106 millions 2014 — volatile
75 Moldova 0.4762 millions 2018 down 93.5% volatile
76 Comoros 0.1227 millions 2015 down 94.8% volatile
77 Switzerland 0 millions 2011 down 100.0% falling
77 Ghana 0 millions 2014 — volatile
77 Kazakhstan 0 millions 2016 down 100.0% volatile
77 Colombia 0 millions 2018 — volatile
77 Cape Verde 0 millions 2017 down 100.0% volatile
77 Benin 0 millions 2015 — volatile
77 Netherlands 0 millions 2017 down 100.0% volatile
77 Belize 0 millions 2015 down 100.0% volatile
77 Bhutan 0 millions 2015 down 100.0% volatile
77 Portugal 0 millions 2009 — flat
77 Denmark 0 millions 2011 — volatile
77 Slovenia 0 millions 2011 — flat
77 Finland 0 millions 2003 — flat
77 Russia 0 millions 2008 down 100.0% volatile
77 Serbia 0 millions 2012 — flat
77 Senegal 0 millions 2018 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, constant PPP$ (millions)
Unit
millions
Source
UNESCO Institute for Statistics
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
92 places, 1,064 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 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/