Initial government funding per pre-primary student as a percentage of GDP per capita by country

Total general (local, regional and central, current and capital) initial government funding of education per student, which includes transfers paid (such as scholarships to students), but excludes transfers received, in this case international transfers to government for education (when foreign donors provide...

Countries reporting
129
Highest
36.3%
Ukraine
Lowest
0.0%
Türkiye
Median
11.3%
Years covered
50
1970–2019
Data points
2,152

What the numbers show

Initial government funding per pre-primary student as a percentage of GDP per capita is currently reported for 129 countries. The highest value is 36.3% in Ukraine; the lowest is 0.0% in Türkiye.

The median across all reporting countries is 11.3%, and the mean is 11.9%.

Over the past decade 56 countries rose and 45 fell. The largest increase was in Dominica (up 4,327.8%), and the largest decrease in Congo, Democratic Republic of the (down 100.0%).

Initial government funding per pre-primary student as a percentage of: full country ranking

#Country LatestYear 10-year changeTrend
1 Ukraine 36.3% 2017 up 15.6% rising
2 Niger 33.9% 2017 volatile
3 Belarus 32.2% 2017 down 6.6% falling
4 Ecuador 31.2% 2018 down 9.6% volatile
5 Bulgaria 29.7% 2017 up 15.7% rising
6 Congo 27.9% 2010 up 422.7% volatile
7 Tajikistan 27.5% 2015 up 85.6% rising
8 Denmark 26.8% 2017 up 92.2% volatile
9 Republic of Moldova 26.6% 2018 down 32.1% falling
10 Sweden 26.3% 2017 up 83.0% rising
11 Cuba 25.6% 2010 up 45.9% falling
12 Russian Federation 25.4% 2013 up 10.6% rising
13 Iceland 23.7% 2017 up 42.2% rising
14 Puerto Rico 22.8% 2013 volatile
15 Viet Nam 22.7% 2013 up 65.3% rising
16 Chile 22.4% 2017 up 58.0% rising
17 Hungary 22.3% 2017 up 7.6% rising
18 Kyrgyzstan 22.3% 2017 down 30.2% rising
19 Brazil 21.3% 2011 rising
20 Finland 21.2% 2017 up 77.6% volatile
21 Latvia 21.0% 2017 down 4.4% falling
22 Norway 21.0% 2017 up 130.6% volatile
23 Thailand 20.3% 1997 volatile
24 Switzerland 20.1% 2017 up 130.3% rising
25 New Zealand 19.9% 2017 rising
26 Croatia 19.0% 2017 down 17.8% rising
27 Poland 18.9% 2017 down 13.9% falling
28 Italy 18.8% 2017 up 17.9% rising
29 Austria 18.0% 2017 up 21.4% rising
30 Belize 18.0% 2018 up 273.6% volatile
31 Slovenia 17.8% 2017 down 30.9% falling
32 Malta 17.7% 2017 up 7.2% volatile
33 Venezuela, Bolivarian Republic of 17.6% 2015 up 147.0% volatile
34 Germany 17.5% 2017 up 12.4% rising
35 Bermuda 17.4% 2015 down 22.4% flat
36 Belgium 17.1% 2017 up 14.7% rising
37 Slovakia 17.1% 2017 up 27.7% rising
38 Lithuania 16.9% 2017 down 18.2% falling
39 Kuwait 16.8% 2014 down 6.3% volatile
40 Turks and Caicos Islands 16.8% 2018 volatile
41 Portugal 16.4% 2017 up 18.2% volatile
42 Luxembourg 16.4% 2017 up 5.5% volatile
43 Honduras 15.8% 2013 volatile
44 Spain 15.8% 2017 down 1.4% volatile
45 Côte d'Ivoire 15.6% 2018 down 47.2% volatile
46 Republic of Korea 15.5% 2016 volatile
47 Trinidad and Tobago 15.4% 2007 up 60.1% volatile
48 Czechia 15.3% 2017 up 17.4% rising
49 Senegal 15.1% 2015 up 207.1% volatile
50 Uruguay 14.7% 2018 up 161.7% volatile
51 Armenia 14.6% 2017 down 4.9% falling
52 Israel 14.1% 2017 up 32.3% rising
53 Mongolia 13.8% 2017 down 45.6% falling
54 Andorra 13.5% 2019 down 4.2% rising
55 Mexico 13.0% 2011 up 18.9% rising
56 Aruba 12.7% 2014 up 28.2% rising
57 Argentina 12.5% 2017 up 29.2% volatile
58 United States 12.2% 2017 rising
59 Seychelles 12.1% 2016 up 107.2% volatile
60 Guatemala 11.9% 2019 up 29.9% rising
61 Romania 11.8% 2017 down 3.2% rising
62 Maldives 11.8% 2019 down 28.1% falling
63 Peru 11.7% 2019 up 50.0% rising
64 Netherlands 11.5% 2017 down 3.9% volatile
65 Comoros 11.3% 2014 volatile
66 Paraguay 11.2% 2016 up 103.0% volatile
67 Cyprus 11.2% 2017 down 4.6% rising
68 Australia 10.7% 2017 up 153.2% rising
69 Costa Rica 10.6% 2019 down 25.6% volatile
70 Azerbaijan 10.6% 2018 down 35.8% falling
71 India 10.5% 2013 down 2.3% falling
72 Dominica 10.1% 2019 up 4,327.8% volatile
73 Guyana 10.0% 2012 down 14.4% volatile
74 Hong Kong 9.9% 2019 up 56.6% volatile
75 El Salvador 9.7% 2018 down 12.1% rising
76 Japan 9.7% 2017 up 164.7% rising
77 Tanzania, United Republic of 9.2% 2014 down 36.4% volatile
78 Liechtenstein 9.1% 2011 up 26.5% rising
79 Benin 8.7% 2015 down 13.9% rising
80 Lao People's Democratic Republic 8.5% 2014 up 30.8% flat
81 United Kingdom of Great Britain and Northern Ireland 8.3% 2017 down 58.1% volatile
82 Burkina Faso 8.1% 2016 down 8.9% volatile
83 Dominican Republic 7.7% 2019 up 73.8% volatile
84 Central African Republic 7.6% 2009 volatile
85 Kazakhstan 7.1% 2016 up 14.3% falling
86 Colombia 6.8% 2018 down 23.5% volatile
87 Oman 6.7% 2019 volatile
88 South Africa 6.5% 2019 up 57.5% volatile
89 Estonia 6.1% 2013 down 23.6% volatile
90 Jamaica 5.4% 2019 down 43.3% flat
91 Cameroon 5.2% 2012 volatile
92 Togo 5.2% 2015 volatile
93 Ireland 4.4% 2015 volatile
94 Nicaragua 4.3% 2010 up 573.7% volatile
95 Malaysia 4.3% 2019 up 70.8% volatile
96 Zimbabwe 4.3% 2013 volatile
97 Panama 3.9% 2011 down 32.4% volatile
98 Ethiopia 3.6% 2015 up 377.0% volatile
99 Mauritius 3.0% 2019 up 89.3% volatile
100 Cambodia 3.0% 2014 up 18.6% falling
101 Philippines 3.0% 2008 up 415.3% volatile
102 Indonesia 2.8% 2014 up 117.6% rising
103 Serbia 2.6% 2018 up 223.7% volatile
104 Nepal 2.1% 2015 volatile
105 Rwanda 2.1% 2018 up 125.4% volatile
106 Zambia 1.9% 2016 volatile
107 Mali 1.8% 2017 down 83.5% volatile
108 Ghana 1.6% 2014 down 87.5% volatile
109 Monaco 1.6% 2016 down 22.6% flat
110 Kenya 1.4% 2015 down 38.8% volatile
111 Cape Verde 1.2% 2017 up 222.5% volatile
112 Iran 1.2% 2016 down 86.6% volatile
113 Fiji 1.1% 2004 volatile
114 Brunei Darussalam 1.0% 2016 volatile
115 Barbados 0.9% 2008 down 91.8% volatile
116 Madagascar 0.8% 2009 volatile
117 Jordan 0.8% 2019 down 66.4% volatile
118 Eswatini 0.6% 2011 volatile
119 Burundi 0.3% 2013 down 94.4% volatile
120 Lesotho 0.3% 2006 volatile
121 Vanuatu 0.1% 2015 down 83.9% volatile
122 British Virgin Islands 0.1% 2015 down 17.8% volatile
123 Botswana 0.0% 2009 volatile
124 Congo, Democratic Republic of the 0.0% 2015 down 100.0% volatile
124 Saint Lucia 0.0% 2018 down 100.0% volatile
124 Morocco 0.0% 2013 volatile
124 Myanmar 0.0% 2019 volatile
124 Tunisia 0.0% 2010 volatile
124 Türkiye 0.0% 2006 volatile

Share, cite or embed this page

Cite this page

Initial government funding per pre-primary student as a percentage of by country. Statizoid, drawing on UNESCO Institute for Statistics. Retrieved 30 August 2026, from https://reference.statizoid.com/stat/initial-government-funding-per-pre-primary-student-as-a-percentage-of-gdp-per-capita/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY 4.0 (World Bank Open Data); please keep the attribution.

<a href="https://reference.statizoid.com/stat/initial-government-funding-per-pre-primary-student-as-a-percentage-of-gdp-per-capita/">Initial government funding per pre-primary student as a percentage of by country</a> — Statizoid

About this data

Indicator
Initial government funding per pre-primary student as a percentage of GDP per capita
Source
UNESCO Institute for Statistics
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
146 places, 2,152 data points, 1970–2019
Last refreshed

Total general (local, regional and central, current and capital) initial government funding of education per student, which includes transfers paid (such as scholarships to students), but excludes transfers received, in this case international transfers to government for education (when foreign donors provide education sector budget support or other support integrated in the government budget). Calculation Method: Total general (local, regional and central) government expenditure (current and capital) on a given level of education (primary, secondary, etc) minus international transfers to government for education, divided by the number of student enrolled at that level of education. This is then expressed as a share of GDP per capita. 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. There are also cases where it may not be possible to separate international transfers to government from general government expenditure on education, in which cases they have not been subtracted in the formula. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/