Initial government funding per pre-primary student, constant PPP$ 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
136
Highest
14,740
Denmark
Lowest
0
Venezuela
Median
871.85
Years covered
50
1970–2019
Data points
2,080

What the numbers show

Initial government funding per pre-primary student, constant PPP$ is currently reported for 136 countries. The highest value is 14,740 in Denmark; the lowest is 0 in Venezuela.

The median across all reporting countries is 871.85, and the mean is 2,572.

Over the past decade 66 countries rose and 26 fell. The largest increase was in Dominica (up 4,129.9%), and the largest decrease in Democratic Republic of Congo (down 100.0%).

Initial government funding per pre-primary student, constant PPP$: full country ranking

#Country LatestYear 10-year changeTrend
2 Denmark 14,740 2017 up 97.0% volatile
3 Sweden 13,873 2017 up 95.8% volatile
4 Switzerland 13,519 2017 up 138.1% rising
5 Norway 13,193 2017 up 130.5% volatile
6 Iceland 13,172 2017 up 51.7% rising
7 Finland 10,049 2017 up 73.2% volatile
8 Austria 9,819 2017 up 25.5% rising
9 Germany 9,301 2017 up 19.7% rising
10 Belgium 8,695 2017 up 20.1% rising
11 Kuwait 8,086 2014 down 12.3% volatile
12 New Zealand 7,958 2017 rising
13 Italy 7,866 2017 up 8.1% rising
14 Puerto Rico 7,614 2013 volatile
16 United States 7,045 2017 rising
17 Russia 6,714 2013 up 67.0% rising
18 Hungary 6,581 2017 up 23.8% rising
19 Slovenia 6,529 2017 down 27.7% flat
20 Netherlands 6,367 2017 up 0.7% volatile
21 Bulgaria 6,339 2017 up 49.1% rising
22 Spain 6,240 2017 up 8.9% volatile
23 South Korea 6,164 2016 volatile
24 Latvia 5,977 2017 up 8.0% rising
25 Hong Kong 5,944 2019 up 92.1% volatile
26 Czechia 5,893 2017 up 32.6% rising
27 Belarus 5,877 2017 up 18.4% rising
28 Poland 5,708 2017 up 20.4% rising
29 Lithuania 5,708 2017 up 6.7% rising
30 Israel 5,507 2017 up 52.6% rising
31 Portugal 5,436 2017 up 21.1% volatile
32 Chile 5,300 2017 up 90.0% rising
33 Slovakia 5,289 2017 up 59.2% rising
34 Australia 5,247 2017 up 178.4% rising
35 Croatia 5,064 2017 down 15.6% rising
36 Aruba 4,498 2014 up 16.6% rising
37 Trinidad and Tobago 4,428 2007 up 171.2% volatile
38 Ukraine 4,311 2017 up 6.9% rising
39 Cyprus 4,222 2017 down 9.7% rising
40 Japan 3,866 2017 up 178.9% rising
41 United Kingdom 3,650 2017 down 56.4% volatile
42 Ecuador 3,610 2018 up 2.9% volatile
43 Moldova 3,292 2018 down 0.9% flat
44 Brazil 3,265 2011 rising
45 Romania 3,211 2017 up 33.1% rising
46 Seychelles 3,201 2016 up 178.4% volatile
47 Uruguay 3,180 2018 up 305.2% volatile
49 Argentina 2,939 2017 up 35.8% volatile
50 Mexico 2,370 2011 up 24.0% rising
51 Maldives 2,226 2019 down 13.5% flat
52 Costa Rica 2,092 2019 down 4.8% volatile
53 Thailand 2,043 1997 volatile
54 Oman 1,869 2019 volatile
55 Estonia 1,813 2013 up 2.6% falling
56 Armenia 1,771 2017 up 10.0% flat
57 Kazakhstan 1,724 2016 up 52.7% rising
58 Mongolia 1,557 2017 down 10.3% rising
59 Peru 1,508 2019 up 105.8% volatile
60 Azerbaijan 1,507 2018 down 29.3% rising
61 Dominican Republic 1,413 2019 up 168.0% volatile
62 Paraguay 1,362 2016 up 168.5% volatile
63 Vietnam 1,321 2013 up 107.8% rising
64 Belize 1,288 2018 up 265.0% volatile
65 Malaysia 1,212 2019 up 149.0% volatile
66 Dominica 1,149 2019 up 4,129.9% volatile
67 Kyrgyzstan 1,123 2017 down 8.7% rising
68 Guatemala 1,024 2019 up 52.4% rising
69 Congo 990.93 2010 up 487.2% volatile
70 Colombia 981.04 2018 down 4.0% volatile
71 Panama 904.57 2011 up 10.2% volatile
72 El Salvador 839.13 2018 up 2.4% rising
73 South Africa 810.4 2019 up 57.5% volatile
74 Honduras 808.57 2013 volatile
75 Cote d'Ivoire 786.95 2018 down 27.1% volatile
76 Tajikistan 776.46 2015 up 188.0% rising
77 Guyana 775.59 2012 up 3.0% volatile
78 Mauritius 664.27 2019 up 168.6% volatile
79 Brunei 595.31 2016 volatile
80 India 546.35 2013 up 65.1% rising
81 Laos 528.05 2014 up 138.3% rising
82 Jamaica 504.7 2019 down 45.4% flat
83 Serbia 451.29 2018 up 283.8% volatile
84 Senegal 449.09 2015 up 243.6% volatile
85 Niger 393.48 2017 volatile
86 Comoros 339.49 2014 volatile
87 Indonesia 269.79 2014 up 191.3% volatile
88 Benin 255.3 2015 down 2.7% rising
89 Tanzania 205.59 2014 down 10.9% volatile
90 Nicaragua 197.19 2010 up 639.7% volatile
91 Philippines 166.84 2008 up 551.3% volatile
92 Cameroon 165.28 2012 volatile
93 Burkina Faso 161.43 2016 up 13.4% volatile
94 Barbados 150.54 2008 down 90.5% volatile
95 Iran 146.82 2016 down 85.8% volatile
96 Zimbabwe 125.2 2013 volatile
97 Fiji 119.09 2004 volatile
98 Cambodia 100.09 2014 up 143.0% rising
99 Central African Republic 88.39 2009 volatile
100 Cape Verde 82.44 2017 up 256.0% volatile
101 Ghana 76.73 2014 down 80.5% volatile
102 Jordan 74.71 2019 down 70.9% volatile
103 Togo 74.65 2015 volatile
104 Zambia 65.11 2016 volatile
105 Ethiopia 58.57 2015 up 627.2% volatile
106 Nepal 52.28 2015 volatile
107 Kenya 47.22 2015 down 20.1% volatile
108 Eswatini 44.15 2011 volatile
109 Mali 40.54 2017 down 81.6% volatile
110 Rwanda 39.58 2018 up 209.1% volatile
111 Madagascar 12.97 2009 volatile
112 Lesotho 6.07 2006 volatile
113 Vanuatu 2.79 2015 down 84.9% volatile
114 Burundi 2.63 2013 down 94.1% volatile
115 Botswana 2.62 2009 volatile
116 Afghanistan 0 2017 flat
116 Bangladesh 0 2012 flat
116 Bahrain 0 2011 flat
116 Bhutan 0 2015 flat
116 Democratic Republic of Congo 0 2015 down 100.0% volatile
116 Djibouti 0 2010 flat
116 Guinea 0 2011 flat
116 Gambia 0 2015 flat
116 Haiti 0 1985 flat
116 Saint Lucia 0 2018 down 100.0% volatile
116 Sri Lanka 0 2018 flat
116 Morocco 0 2013 volatile
116 North Macedonia 0 1996 flat
116 Myanmar 0 2019 flat
116 Malawi 0 2016 flat
116 Pakistan 0 1987 flat
116 Singapore 0 2012 flat
116 Sierra Leone 0 2019 flat
116 Syria 0 2012 flat
116 Tonga 0 2004 flat
116 Tunisia 0 2010 volatile
116 Turkey 0 2006 volatile
116 Uganda 0 2014 flat
116 Venezuela 0 1975 flat

About this data

Indicator
Initial government funding per pre-primary student, constant PPP$
Source
UNESCO Institute for Statistics
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
139 places, 2,080 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 at constant purchasing power parity (constant 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. 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/