Statizoid

Government expenditure on primary education, PPP$ (millions) by country

Total general (local, regional and central) government expenditure on primary 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...

Countries reporting
130
Highest
293,636 millions
United States
Lowest
6.92 millions
Saint Kitts and Nevis
Median
1,412 millions
Years covered
30
1990–2019
Data points
1,910

What the numbers show

Government expenditure on primary education, PPP$ (millions) is currently reported for 130 countries. The highest value is 293,636 millions in United States; the lowest is 6.92 millions in Saint Kitts and Nevis.

The median across all reporting countries is 1,412 millions, and the mean is 8,163 millions.

The gap between the highest and lowest reporting country is a factor of about 42,413.

Over the past decade 109 countries rose and 8 fell. The largest increase was in Zambia (up 448.9%), and the largest decrease in Namibia (down 68.6%).

Government expenditure on primary education, PPP$: full country ranking

#Country LatestYear 10-year changeTrend
1 United States 293,636 millions 2017 — rising
2 India 67,188 millions 2013 up 106.1% rising
3 Japan 56,667 millions 2017 up 13.4% rising
4 United Kingdom 50,168 millions 2017 up 57.5% rising
5 Brazil 47,604 millions 2017 up 24.6% rising
6 Indonesia 40,420 millions 2015 up 63.4% rising
8 France 34,679 millions 2017 — volatile
9 South Korea 27,836 millions 2016 — volatile
10 Germany 27,794 millions 2017 up 52.2% rising
11 Italy 24,876 millions 2017 up 21.2% rising
12 Spain 20,879 millions 2017 up 31.6% rising
13 Australia 20,501 millions 2017 up 64.4% rising
14 China 20,461 millions 1999 up 145.0% rising
15 South Africa 18,220 millions 2019 up 45.5% rising
16 Thailand 17,799 millions 2013 up 128.3% volatile
17 Argentina 16,777 millions 2017 up 61.2% rising
18 Poland 16,482 millions 2017 up 63.9% rising
19 Iran 15,341 millions 2018 up 22.1% rising
20 Malaysia 14,322 millions 2019 up 62.7% rising
21 Netherlands 10,896 millions 2017 — volatile
22 Colombia 10,834 millions 2018 up 63.7% rising
23 Venezuela 10,360 millions 2009 up 276.7% volatile
24 Sweden 10,032 millions 2017 up 73.6% rising
25 Belgium 8,798 millions 2017 — volatile
26 Switzerland 8,485 millions 2017 up 64.0% rising
27 Vietnam 8,161 millions 2013 up 75.3% rising
28 Israel 8,114 millions 2017 up 97.3% rising
29 Pakistan 6,812 millions 2015 — volatile
30 Philippines 6,793 millions 2009 up 32.4% rising
31 Chile 6,602 millions 2017 up 106.9% rising
32 Norway 6,177 millions 2017 up 43.7% rising
33 Denmark 6,133 millions 2017 up 58.9% rising
34 Ukraine 5,917 millions 2017 up 51.0% falling
35 Peru 5,464 millions 2019 up 67.2% rising
36 Morocco 5,423 millions 2013 up 94.4% rising
37 Portugal 5,027 millions 2017 up 35.1% rising
38 Ireland 4,558 millions 2017 up 34.1% volatile
39 Austria 4,354 millions 2017 up 43.6% rising
40 Turkey 4,241 millions 1995 up 4.3% rising
41 Dominican Republic 4,147 millions 2019 up 338.4% volatile
43 Bangladesh 3,796 millions 2012 up 128.6% rising
44 Greece 3,689 millions 2017 — volatile
46 Finland 3,508 millions 2017 up 51.9% rising
47 Czechia 3,312 millions 2017 up 129.2% rising
48 New Zealand 3,057 millions 2017 — rising
49 Kuwait 2,835 millions 2014 up 85.0% rising
50 Guatemala 2,744 millions 2019 up 58.3% volatile
51 Kenya 2,703 millions 2015 up 24.9% rising
52 Ecuador 2,567 millions 2018 up 24.8% rising
53 Costa Rica 2,159 millions 2019 up 57.8% rising
54 Oman 2,111 millions 2019 up 19.0% rising
55 Romania 2,032 millions 2017 down 13.9% rising
56 Myanmar 2,031 millions 2019 up 211.4% volatile
57 Cote d'Ivoire 1,987 millions 2018 up 120.2% rising
58 Ethiopia 1,931 millions 2015 up 78.2% volatile
59 Hungary 1,925 millions 2017 up 2.5% rising
60 Serbia 1,819 millions 2015 up 8.4% flat
61 Sri Lanka 1,810 millions 2018 up 134.3% volatile
62 Tunisia 1,723 millions 2008 up 57.4% rising
63 Tanzania 1,719 millions 2014 up 57.2% rising
64 Jordan 1,553 millions 2019 up 40.5% rising
65 Slovakia 1,484 millions 2017 up 100.2% rising
66 Zambia 1,475 millions 2017 up 448.9% volatile
67 Ghana 1,447 millions 2014 up 73.1% volatile
68 Afghanistan 1,434 millions 2017 up 32.9% rising
69 Nepal 1,390 millions 2015 up 155.7% rising
70 Bulgaria 1,223 millions 2017 up 73.0% rising
71 Zimbabwe 1,041 millions 2014 — volatile
72 Slovenia 1,035 millions 2017 up 14.7% rising
73 Paraguay 1,022 millions 2016 up 86.6% rising
74 El Salvador 939.07 millions 2018 up 49.1% rising
75 Uruguay 880.02 millions 2018 up 122.2% volatile
76 Senegal 823.47 millions 2018 up 46.8% rising
77 Uganda 814.36 millions 2014 up 25.0% rising
78 Latvia 744.89 millions 2017 up 61.6% volatile
79 Lithuania 705.7 millions 2017 up 72.5% rising
80 Luxembourg 705.07 millions 2017 up 49.2% rising
81 Mali 704.14 millions 2017 up 121.8% rising
82 Burkina Faso 659.08 millions 2015 up 44.0% rising
83 Cameroon 621.65 millions 2013 up 46.9% rising
84 Estonia 615.01 millions 2017 up 91.9% rising
85 Cyprus 610.68 millions 2017 up 37.1% volatile
86 Trinidad and Tobago 580.48 millions 2009 up 127.4% rising
87 Jamaica 531.78 millions 2019 up 11.8% rising
88 Benin 482.52 millions 2015 up 141.1% rising
89 Laos 465.67 millions 2014 up 108.7% volatile
91 Mongolia 463.94 millions 2017 up 113.4% rising
92 Guinea 453.27 millions 2018 up 340.4% volatile
93 Cambodia 450.14 millions 2014 up 160.5% rising
94 Moldova 434.98 millions 2018 up 70.6% rising
95 Iceland 424.09 millions 2017 up 38.0% rising
96 Sierra Leone 418.54 millions 2019 up 351.4% volatile
97 Nicaragua 413.93 millions 2010 up 101.4% rising
98 Congo 402.01 millions 2010 up 192.3% volatile
99 Madagascar 379.18 millions 2012 down 22.2% rising
100 Malawi 355.85 millions 2016 up 164.6% volatile
101 Togo 346.6 millions 2016 up 401.8% volatile
102 Eswatini 339.88 millions 2014 up 203.8% volatile
103 Niger 311.73 millions 2017 up 4.6% volatile
104 Mauritius 308.12 millions 2019 up 114.0% rising
105 Chad 257.25 millions 2018 down 0.8% rising
106 North Macedonia 237.18 millions 1996 — falling
107 Lesotho 227.51 millions 2018 up 37.8% rising
108 Mauritania 227.25 millions 2019 up 37.7% rising
109 Gabon 225.74 millions 2014 — rising
110 Brunei 224.19 millions 2016 up 27.7% rising
111 Rwanda 207.78 millions 2018 up 11.5% rising
112 Burundi 192.54 millions 2013 up 301.8% volatile
113 Armenia 187.14 millions 2017 up 33.8% rising
114 Malta 184.77 millions 2017 up 40.1% rising
115 Namibia 154.18 millions 2017 down 68.6% falling
116 Maldives 152.53 millions 2019 up 42.0% rising
117 Bhutan 109.67 millions 2014 up 292.2% rising
118 Liberia 78.06 millions 2018 up 392.9% volatile
119 Cape Verde 70.48 millions 2017 up 25.8% rising
120 Barbados 64.88 millions 2016 up 7.4% rising
121 Belize 63.18 millions 2018 up 5.3% rising
122 Aruba 59.58 millions 2016 up 39.8% rising
123 Guyana 54.21 millions 2012 down 28.6% falling
124 Gambia 52 millions 2015 up 278.8% volatile
125 Seychelles 32.86 millions 2016 up 63.4% rising
126 Saint Lucia 31.6 millions 2018 up 12.1% flat
127 Saint Vincent and the Grenadines 29.55 millions 2018 down 8.7% rising
128 Comoros 29.28 millions 2015 up 169.9% rising
129 Central African Republic 25.04 millions 2010 — rising
130 Bermuda 21 millions 2017 down 27.7% rising
131 Vanuatu 18.03 millions 2017 down 1.6% rising
132 Samoa 17.4 millions 2016 up 48.8% rising
133 Dominica 15.29 millions 2019 up 38.1% rising
134 Saint Kitts and Nevis 6.92 millions 2015 — volatile

About this data

Indicator
Government expenditure on primary education, PPP$ (millions)
Unit
millions
Source
UNESCO Institute for Statistics
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
134 places, 1,910 data points, 1990–2019
Last refreshed

Total general (local, regional and central) government expenditure on primary 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/