Statizoid

Government expenditure on primary education, constant 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 constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total...

Countries reporting
129
Highest
293,636 millions
United States
Lowest
7.4 millions
Saint Kitts and Nevis
Median
1,241 millions
Years covered
30
1990–2019
Data points
1,899

What the numbers show

Government expenditure on primary education, constant PPP$ (millions) is currently reported for 129 countries. The highest value is 293,636 millions in United States; the lowest is 7.4 millions in Saint Kitts and Nevis.

The median across all reporting countries is 1,241 millions, and the mean is 8,149 millions.

The gap between the highest and lowest reporting country is a factor of about 39,680.

Over the past decade 98 countries rose and 17 fell. The largest increase was in Zambia (up 407.8%), and the largest decrease in Namibia (down 73.4%).

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

#Country LatestYear 10-year changeTrend
1 United States 293,636 millions 2017 — rising
2 India 63,221 millions 2013 up 63.9% rising
3 Japan 56,667 millions 2017 down 1.1% rising
4 United Kingdom 50,168 millions 2017 up 29.1% rising
5 Brazil 47,604 millions 2017 up 15.3% rising
6 Indonesia 40,035 millions 2015 up 59.8% rising
8 France 34,679 millions 2017 — rising
9 South Korea 28,040 millions 2016 — rising
10 Germany 27,794 millions 2017 up 17.3% rising
11 Italy 24,876 millions 2017 down 9.3% rising
12 China 24,723 millions 1999 up 116.0% rising
13 Spain 20,879 millions 2017 up 7.8% rising
14 Australia 20,501 millions 2017 up 35.1% rising
15 Thailand 18,233 millions 2013 up 88.9% rising
16 South Africa 17,644 millions 2019 up 31.3% rising
17 Argentina 16,777 millions 2017 up 19.1% rising
18 Poland 16,482 millions 2017 up 27.7% rising
19 Iran 15,132 millions 2018 up 48.0% rising
20 Malaysia 13,752 millions 2019 up 54.2% rising
21 Netherlands 10,896 millions 2017 — rising
22 Colombia 10,464 millions 2018 up 39.8% rising
23 Sweden 10,032 millions 2017 up 43.9% rising
24 Vietnam 8,856 millions 2013 up 54.5% rising
25 Belgium 8,798 millions 2017 — rising
26 Switzerland 8,485 millions 2017 up 25.6% rising
27 Israel 8,114 millions 2017 up 60.4% rising
28 Philippines 7,229 millions 2009 up 8.8% rising
29 Pakistan 6,686 millions 2015 — rising
30 Chile 6,602 millions 2017 up 78.2% rising
31 Norway 6,177 millions 2017 up 27.5% rising
32 Denmark 6,133 millions 2017 up 15.3% rising
33 Ukraine 5,917 millions 2017 up 7.9% falling
34 Turkey 5,611 millions 1995 down 7.6% flat
35 Morocco 5,356 millions 2013 up 66.2% rising
36 Peru 5,247 millions 2019 up 53.4% rising
37 Portugal 5,027 millions 2017 up 7.5% rising
38 Ireland 4,558 millions 2017 up 5.3% rising
39 Austria 4,354 millions 2017 up 7.0% rising
40 Bangladesh 4,316 millions 2012 up 85.9% rising
41 Dominican Republic 3,982 millions 2019 up 271.5% volatile
43 Greece 3,689 millions 2017 — rising
44 Finland 3,508 millions 2017 up 18.0% rising
46 Czechia 3,312 millions 2017 up 75.7% rising
47 New Zealand 3,057 millions 2017 — rising
48 Kenya 3,052 millions 2015 down 8.5% rising
49 Guatemala 2,635 millions 2019 up 36.8% rising
50 Ecuador 2,508 millions 2018 up 5.9% rising
51 Ethiopia 2,096 millions 2015 up 56.2% rising
52 Costa Rica 2,075 millions 2019 up 19.8% rising
53 Romania 2,032 millions 2017 down 40.4% falling
54 Oman 2,027 millions 2019 up 49.1% rising
55 Myanmar 1,951 millions 2019 up 209.2% volatile
56 Cote d'Ivoire 1,941 millions 2018 up 45.4% rising
57 Hungary 1,925 millions 2017 down 23.9% falling
58 Serbia 1,891 millions 2015 down 8.3% falling
59 Sri Lanka 1,768 millions 2018 up 103.1% volatile
60 Tanzania 1,754 millions 2014 up 41.2% rising
61 Kuwait 1,750 millions 2014 up 51.0% falling
62 Tunisia 1,749 millions 2008 up 24.3% rising
63 Jordan 1,491 millions 2019 up 12.4% rising
64 Slovakia 1,484 millions 2017 up 71.3% rising
65 Zambia 1,475 millions 2017 up 407.8% volatile
66 Afghanistan 1,434 millions 2017 up 8.5% rising
67 Nepal 1,349 millions 2015 up 89.5% rising
68 Ghana 1,241 millions 2014 up 4.3% rising
69 Bulgaria 1,223 millions 2017 up 33.6% rising
70 Zimbabwe 1,177 millions 2014 — volatile
71 Slovenia 1,035 millions 2017 down 4.7% rising
72 Paraguay 1,032 millions 2016 up 74.3% rising
73 El Salvador 917.42 millions 2018 up 19.5% rising
74 Uruguay 859.74 millions 2018 up 93.1% rising
75 Uganda 811.17 millions 2014 up 19.0% rising
76 Senegal 804.49 millions 2018 up 36.6% rising
77 Latvia 744.89 millions 2017 up 16.1% rising
78 Burkina Faso 744.17 millions 2015 up 28.8% rising
79 Lithuania 705.7 millions 2017 up 27.1% rising
80 Luxembourg 705.07 millions 2017 up 15.5% rising
81 Mali 704.14 millions 2017 up 86.6% rising
82 Cameroon 675.51 millions 2013 up 26.2% rising
84 Estonia 615.01 millions 2017 up 36.5% rising
85 Cyprus 610.68 millions 2017 up 12.9% rising
86 Trinidad and Tobago 556.12 millions 2009 up 86.9% rising
87 Jamaica 500.08 millions 2019 down 10.3% rising
88 Benin 492.4 millions 2015 up 95.7% rising
89 Laos 491 millions 2014 up 57.8% volatile
90 Nicaragua 479.51 millions 2010 up 77.6% rising
91 Cambodia 475.43 millions 2014 up 107.3% rising
92 Mongolia 463.94 millions 2017 up 108.2% rising
93 Guinea 442.82 millions 2018 up 272.8% volatile
94 Moldova 424.96 millions 2018 up 22.3% rising
95 Iceland 424.09 millions 2017 up 9.1% rising
96 North Macedonia 421.56 millions 1996 — falling
97 Sierra Leone 401.88 millions 2019 up 243.7% volatile
98 Madagascar 381.06 millions 2012 down 29.8% rising
99 Malawi 358.89 millions 2016 up 137.3% rising
100 Togo 355.17 millions 2016 up 350.1% volatile
101 Eswatini 335.24 millions 2014 up 155.3% rising
102 Niger 311.73 millions 2017 up 2.7% volatile
103 Mauritius 301.81 millions 2019 up 91.7% rising
104 Congo 292.55 millions 2010 up 146.5% falling
105 Chad 251.31 millions 2018 up 0.6% rising
106 Lesotho 245.15 millions 2018 up 26.7% rising
107 Burundi 227.96 millions 2013 up 214.3% volatile
108 Gabon 226.7 millions 2014 — falling
109 Mauritania 218.21 millions 2019 up 11.4% rising
110 Brunei 209.37 millions 2016 up 51.0% rising
111 Rwanda 201.55 millions 2018 down 4.5% rising
112 Armenia 187.14 millions 2017 up 20.5% rising
113 Malta 184.77 millions 2017 up 13.0% rising
114 Namibia 154.18 millions 2017 down 73.4% falling
115 Maldives 146.47 millions 2019 up 5.1% rising
116 Bhutan 122.07 millions 2014 up 215.8% rising
117 South Sudan 93.52 millions 2017 — falling
118 Liberia 71 millions 2018 up 232.4% volatile
119 Cape Verde 70.48 millions 2017 up 11.1% rising
120 Barbados 65.22 millions 2016 down 2.8% flat
121 Belize 63.73 millions 2018 up 6.3% rising
122 Aruba 60.38 millions 2016 up 23.9% rising
123 Guyana 57.1 millions 2012 down 41.7% falling
124 Gambia 51.79 millions 2015 up 256.1% rising
125 Seychelles 33.81 millions 2016 up 33.5% rising
126 Comoros 31.98 millions 2015 up 94.6% rising
127 Central African Republic 31.37 millions 2010 — falling
128 Saint Lucia 31.11 millions 2018 down 3.2% falling
129 Saint Vincent and the Grenadines 28.87 millions 2018 down 24.0% rising
130 Vanuatu 18.03 millions 2017 down 14.1% rising
131 Samoa 17.59 millions 2016 up 13.3% rising
132 Dominica 14.69 millions 2019 up 10.5% falling
133 Saint Kitts and Nevis 7.4 millions 2015 — volatile

About this data

Indicator
Government expenditure on primary education, constant PPP$ (millions)
Unit
millions
Source
UNESCO Institute for Statistics
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
133 places, 1,899 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 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/