Statizoid

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

Total general (local, regional and central) government expenditure on pre-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
142
Highest
61,662 millions
United States
Lowest
0 millions
Venezuela
Median
148.4 millions
Years covered
50
1970–2019
Data points
2,173

What the numbers show

Government expenditure on pre-primary education, constant PPP$ (millions) is currently reported for 142 countries. The highest value is 61,662 millions in United States; the lowest is 0 millions in Venezuela.

The median across all reporting countries is 148.4 millions, and the mean is 2,156 millions.

Over the past decade 93 countries rose and 16 fell. The largest increase was in Eswatini (up 6,282.2%), and the largest decrease in Democratic Republic of Congo (down 100.0%).

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

#Country LatestYear 10-year changeTrend
1 United States 61,662 millions 2017 — rising
2 Russia 33,777 millions 2013 up 144.7% rising
3 Germany 21,621 millions 2017 up 52.5% rising
4 France 21,066 millions 2017 — rising
5 Brazil 15,334 millions 2011 up 133.0% rising
6 Italy 11,962 millions 2017 down 0.5% rising
7 Mexico 11,164 millions 2011 up 65.5% rising
8 Spain 8,191 millions 2017 down 20.9% volatile
9 South Korea 8,115 millions 2016 — volatile
10 Poland 7,655 millions 2017 up 87.2% rising
11 United Kingdom 6,438 millions 2017 down 23.4% volatile
12 Sweden 6,414 millions 2017 up 152.9% volatile
13 Japan 5,090 millions 2017 up 20.1% rising
14 Argentina 4,980 millions 2017 up 66.6% volatile
15 Ukraine 4,768 millions 2017 up 9.4% rising
16 Vietnam 4,693 millions 2013 up 174.6% rising
17 Belgium 3,948 millions 2017 up 30.7% rising
18 India 3,544 millions 2013 up 121.1% rising
19 Chile 3,268 millions 2017 up 187.5% volatile
20 Netherlands 3,231 millions 2017 up 4.9% rising
21 Israel 2,970 millions 2017 up 108.8% rising
22 Australia 2,773 millions 2017 up 592.6% volatile
23 Denmark 2,633 millions 2017 up 39.6% volatile
24 Peru 2,534 millions 2019 up 155.6% volatile
25 Austria 2,428 millions 2017 up 41.9% rising
26 Thailand 2,403 millions 2013 down 26.0% volatile
27 Norway 2,385 millions 2017 up 158.2% volatile
28 Switzerland 2,342 millions 2017 up 169.2% rising
29 Ecuador 2,305 millions 2018 up 55.9% volatile
30 Canada 2,260 millions 2000 up 18.0% rising
31 Czechia 2,163 millions 2017 up 69.3% rising
32 Hungary 2,036 millions 2017 up 16.9% rising
33 Belarus 1,994 millions 2017 up 48.4% rising
34 Finland 1,865 millions 2017 up 124.4% volatile
35 Colombia 1,707 millions 2018 up 21.8% volatile
36 Romania 1,674 millions 2017 up 6.9% rising
37 Kazakhstan 1,518 millions 2016 up 345.8% volatile
38 Indonesia 1,443 millions 2014 up 318.5% volatile
39 Bulgaria 1,417 millions 2017 up 61.2% rising
40 Portugal 1,356 millions 2017 up 14.5% volatile
41 Malaysia 1,217 millions 2019 up 217.9% volatile
42 China 1,073 millions 1999 up 135.5% rising
43 Hong Kong 1,048 millions 2019 up 143.2% volatile
44 Slovakia 896.23 millions 2017 up 87.7% rising
45 New Zealand 862.58 millions 2017 up 144.1% volatile
46 Greece 786.6 millions 2017 — volatile
47 South Africa 667.9 millions 2019 up 122.5% volatile
48 Kuwait 661.3 millions 2014 up 15.9% volatile
49 Guatemala 604.4 millions 2019 up 88.2% volatile
50 Croatia 596.9 millions 2017 up 9.5% rising
51 Lithuania 593.37 millions 2017 up 27.8% rising
52 Dominican Republic 468.36 millions 2019 up 270.4% volatile
53 Latvia 454.74 millions 2017 up 22.5% rising
54 Moldova 443.73 millions 2018 up 24.9% rising
55 Uruguay 432.71 millions 2018 up 273.3% volatile
56 Ghana 417.48 millions 2014 up 110.8% volatile
57 Slovenia 396.98 millions 2017 up 1.6% rising
58 Mongolia 379.06 millions 2017 up 130.6% rising
59 Luxembourg 322.27 millions 2017 up 25.3% volatile
60 Azerbaijan 305.94 millions 2018 up 61.0% volatile
61 Costa Rica 286.35 millions 2019 up 19.5% volatile
62 Kyrgyzstan 249.13 millions 2017 up 224.2% volatile
63 Ireland 248.16 millions 2015 up 3,710.9% volatile
64 Paraguay 246.53 millions 2016 up 159.1% rising
65 Philippines 221.83 millions 2009 up 1,457.2% volatile
66 Tanzania 215.13 millions 2014 up 68.0% rising
67 El Salvador 204.03 millions 2018 up 11.2% rising
68 Iran 179.5 millions 2018 down 48.7% volatile
69 Iceland 172.4 millions 2017 up 66.9% volatile
70 Oman 164.4 millions 2019 — volatile
71 Kenya 149.6 millions 2015 up 78.2% volatile
72 Ethiopia 147.2 millions 2015 up 5,958.0% volatile
73 Cote d'Ivoire 142.21 millions 2018 up 148.6% volatile
74 Estonia 137 millions 2013 up 48.1% falling
75 Armenia 115.89 millions 2017 up 42.6% rising
76 Georgia 115.3 millions 2012 — falling
77 Cyprus 102.75 millions 2017 up 12.6% rising
78 Singapore 91.92 millions 2017 — volatile
79 Trinidad and Tobago 88.03 millions 2009 up 138.6% volatile
80 Panama 82.76 millions 2011 up 55.3% rising
81 Cameroon 79.87 millions 2013 — volatile
82 Laos 79.16 millions 2014 up 825.7% volatile
83 Serbia 73.98 millions 2018 up 307.4% volatile
84 Niger 69.73 millions 2017 — volatile
85 Malta 68.27 millions 2017 up 54.1% volatile
86 Tajikistan 66.6 millions 2015 up 299.2% volatile
87 Jamaica 56.92 millions 2019 down 58.8% rising
88 Nepal 53.03 millions 2015 — volatile
89 Maldives 43.63 millions 2019 up 5.1% rising
90 Congo 43.08 millions 2010 up 1,582.2% volatile
91 Nicaragua 43 millions 2010 up 708.8% volatile
92 Benin 42.58 millions 2015 up 420.1% volatile
93 Gabon 29.84 millions 2014 — rising
94 Cambodia 25.83 millions 2014 up 596.0% volatile
95 Myanmar 24.66 millions 2017 — volatile
96 Guyana 21.62 millions 2012 down 18.1% volatile
97 Mauritius 16.92 millions 2019 up 90.2% rising
98 Senegal 15.3 millions 2018 down 15.0% volatile
99 San Marino 13.85 millions 2018 up 23.8% volatile
100 Aruba 12.49 millions 2016 up 0.8% rising
101 Jordan 10.07 millions 2019 down 47.0% volatile
102 Seychelles 9.93 millions 2016 up 205.9% volatile
103 Belize 9.47 millions 2018 up 362.4% volatile
104 Namibia 9.29 millions 2017 up 82.3% volatile
105 Rwanda 8.97 millions 2018 up 99.5% volatile
106 Burkina Faso 8.88 millions 2016 up 443.0% volatile
107 Zambia 8.83 millions 2017 — volatile
108 Togo 8.76 millions 2016 — volatile
109 Brunei 7.92 millions 2016 — volatile
110 Eswatini 7.56 millions 2014 up 6,282.2% volatile
111 Mauritania 7.48 millions 2019 up 517.1% volatile
112 Mali 5.54 millions 2017 down 59.1% volatile
113 Comoros 4.14 millions 2015 up 2,479.0% volatile
114 Cape Verde 1.91 millions 2017 up 283.2% volatile
115 Dominica 1.68 millions 2019 up 3,175.0% volatile
116 Madagascar 1.68 millions 2012 — volatile
117 Fiji 1.67 millions 2011 up 62.9% volatile
118 Chad 1.5 millions 2011 — volatile
119 Central African Republic 1.34 millions 2010 — volatile
120 Saint Vincent and the Grenadines 1.28 millions 2015 up 446.7% volatile
121 Lesotho 1.03 millions 2018 up 32.8% volatile
122 Guinea 0.9444 millions 2018 — volatile
123 Barbados 0.8929 millions 2008 down 90.3% volatile
124 Burundi 0.1389 millions 2013 down 62.6% volatile
125 Vanuatu 0.0374 millions 2017 down 82.7% volatile
126 Afghanistan 0 millions 2017 — flat
126 Bangladesh 0 millions 2012 — flat
126 Bhutan 0 millions 2015 — flat
126 Democratic Republic of Congo 0 millions 2015 down 100.0% volatile
126 Gambia 0 millions 2015 — flat
126 Saint Lucia 0 millions 2018 down 100.0% volatile
126 Sri Lanka 0 millions 2018 — flat
126 Morocco 0 millions 2013 — volatile
126 North Macedonia 0 millions 1996 — flat
126 Malawi 0 millions 2016 — volatile
126 Pakistan 0 millions 1987 — flat
126 Sierra Leone 0 millions 2019 — flat
126 Syria 0 millions 2015 — flat
126 Tunisia 0 millions 2010 — volatile
126 Turkey 0 millions 2006 down 100.0% volatile
126 Uganda 0 millions 2014 — flat
126 Venezuela 0 millions 1975 — flat

About this data

Indicator
Government expenditure on pre-primary education, constant PPP$ (millions)
Unit
millions
Source
UNESCO Institute for Statistics
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
143 places, 2,173 data points, 1970–2019
Last refreshed

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