Statizoid

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

Total general (local, regional and central) government expenditure on pre-primary education (current, capital, and transfers) in millions US$ (nominal value). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a given level of education (e.g....

Countries reporting
156
Highest
61,662 millions
United States
Lowest
0 millions
Uganda
Median
58.07 millions
Years covered
50
1970–2019
Data points
3,075

What the numbers show

Government expenditure on pre-primary education, US$ (millions) is currently reported for 156 countries. The highest value is 61,662 millions in United States; the lowest is 0 millions in Uganda.

The median across all reporting countries is 58.07 millions, and the mean is 1,526 millions.

Over the past decade 97 countries rose and 17 fell. The largest increase was in Eswatini (up 9,132.1%), and the largest decrease in Democratic Republic of Congo (down 100.0%).

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

#Country LatestYear 10-year changeTrend
1 United States 61,662 millions 2017 — rising
2 Russia 20,428 millions 2013 up 769.8% volatile
3 France 18,240 millions 2017 — volatile
4 Germany 18,088 millions 2017 up 44.3% rising
5 Brazil 13,259 millions 2011 up 640.3% volatile
6 Italy 9,277 millions 2017 down 7.1% volatile
7 Sweden 6,543 millions 2017 up 136.8% volatile
8 Mexico 6,254 millions 2011 up 114.7% volatile
9 United Kingdom 5,986 millions 2017 down 32.3% volatile
10 South Korea 5,963 millions 2016 — volatile
11 Spain 5,830 millions 2017 down 31.5% volatile
12 Japan 4,936 millions 2017 up 24.7% volatile
13 Poland 3,519 millions 2017 up 64.7% volatile
14 Belgium 3,447 millions 2017 up 14.9% volatile
15 Israel 3,090 millions 2017 up 194.5% volatile
16 Argentina 3,084 millions 2017 up 219.2% volatile
17 Australia 3,065 millions 2017 up 731.6% volatile
18 Norway 2,860 millions 2017 up 129.0% volatile
19 Netherlands 2,841 millions 2017 down 5.2% volatile
20 Switzerland 2,806 millions 2017 up 229.6% volatile
21 Denmark 2,732 millions 2017 up 33.0% volatile
22 Venezuela 2,622 millions 2009 up 2,440.6% volatile
23 Austria 2,113 millions 2017 up 39.3% volatile
24 Chile 2,072 millions 2017 up 241.4% volatile
25 Finland 1,819 millions 2017 up 120.1% volatile
26 Vietnam 1,522 millions 2013 up 258.7% rising
27 Canada 1,434 millions 2000 up 13.7% rising
28 Peru 1,376 millions 2019 up 209.9% volatile
29 Ecuador 1,255 millions 2018 up 103.7% volatile
30 Czechia 1,145 millions 2017 up 66.3% volatile
31 India 1,119 millions 2013 up 301.1% volatile
32 Ukraine 1,061 millions 2017 up 1.9% volatile
33 Hungary 996.97 millions 2017 up 5.5% volatile
34 Thailand 938.98 millions 2013 up 29.4% volatile
35 Portugal 880.57 millions 2017 up 5.4% volatile
36 New Zealand 865.06 millions 2017 up 232.8% volatile
38 Colombia 793.36 millions 2018 up 25.5% volatile
39 Kuwait 677.79 millions 2014 up 175.9% volatile
40 Romania 665.21 millions 2017 up 0.5% rising
41 Belarus 628.55 millions 2017 up 42.4% rising
42 Cuba 565.53 millions 2010 up 148.5% rising
43 Bulgaria 552.5 millions 2017 up 77.0% volatile
44 Indonesia 514.1 millions 2014 up 486.6% volatile
45 Greece 511.89 millions 2017 — volatile
46 Slovakia 509.02 millions 2017 up 64.3% volatile
47 Malaysia 489.82 millions 2019 up 241.4% volatile
48 Kazakhstan 483.73 millions 2016 up 386.3% volatile
49 Puerto Rico 459.41 millions 2014 — volatile
50 Uruguay 346.27 millions 2018 up 607.4% volatile
51 South Africa 340.03 millions 2019 up 146.1% volatile
52 Guatemala 323.27 millions 2019 up 160.1% volatile
53 Luxembourg 307.43 millions 2017 up 17.1% volatile
54 Croatia 301.02 millions 2017 up 2.3% rising
55 Lithuania 296.19 millions 2017 up 34.5% rising
56 China 292.18 millions 1999 up 261.3% volatile
57 Slovenia 254.54 millions 2017 down 3.9% rising
58 Latvia 248.79 millions 2017 up 20.4% volatile
59 Iceland 221.27 millions 2017 up 61.5% volatile
60 Ireland 215.95 millions 2015 up 3,609.9% volatile
61 Dominican Republic 210.6 millions 2019 up 294.8% volatile
62 Costa Rica 178.41 millions 2019 up 69.1% volatile
63 Ghana 175.98 millions 2014 up 297.7% volatile
64 Qatar 173.35 millions 2009 — volatile
65 Moldova 151.84 millions 2018 up 71.5% rising
66 Mongolia 122.96 millions 2017 up 214.3% volatile
67 Paraguay 107.87 millions 2016 up 250.1% volatile
68 Azerbaijan 102.05 millions 2018 up 24.3% volatile
69 El Salvador 96.33 millions 2018 up 32.4% rising
70 Tanzania 93.2 millions 2014 up 169.9% volatile
71 Oman 91.19 millions 2019 — volatile
72 Estonia 88.46 millions 2013 up 193.3% rising
73 Honduras 79.55 millions 2013 — volatile
74 Philippines 75.41 millions 2009 up 2,097.7% volatile
75 Cyprus 71.66 millions 2017 up 0.3% volatile
76 Iran 69.11 millions 2018 down 47.1% volatile
77 Cote d'Ivoire 65.11 millions 2018 up 235.3% volatile
78 Kyrgyzstan 61.35 millions 2017 up 326.8% volatile
79 Singapore 58.44 millions 2017 — volatile
80 Kenya 57.7 millions 2015 up 264.4% volatile
81 Ethiopia 50.81 millions 2015 up 6,801.4% volatile
82 Trinidad and Tobago 45.41 millions 2009 up 224.3% volatile
83 Georgia 45.13 millions 2012 — flat
84 Malta 44.75 millions 2017 up 60.9% volatile
85 Armenia 37.44 millions 2017 up 20.2% rising
86 Cameroon 35.88 millions 2013 — volatile
87 Congo 34.13 millions 2010 up 4,516.9% volatile
88 Panama 33.16 millions 2011 up 120.2% volatile
89 Jamaica 32.51 millions 2019 down 53.4% volatile
90 Niger 31.03 millions 2017 — volatile
91 Serbia 30.89 millions 2018 up 250.6% volatile
92 Laos 25.54 millions 2014 up 2,329.3% volatile
93 Maldives 24.89 millions 2019 up 42.2% rising
94 Zimbabwe 24.2 millions 2014 — volatile
95 Tajikistan 21.93 millions 2015 up 601.8% volatile
96 Liberia 19.77 millions 2018 — volatile
97 Gabon 18.68 millions 2014 — rising
98 Nepal 15.66 millions 2015 — volatile
99 Benin 15.56 millions 2015 up 479.4% volatile
100 Nicaragua 14.02 millions 2010 up 925.5% volatile
101 Andorra 11.76 millions 2019 down 20.6% rising
102 San Marino 11.31 millions 2018 up 20.2% volatile
103 Guyana 10.53 millions 2012 up 49.3% volatile
104 Liechtenstein 10.47 millions 2011 up 99.1% rising
105 Aruba 9.33 millions 2016 up 25.9% rising
106 Mauritius 8.52 millions 2019 up 87.2% volatile
107 Cambodia 8.4 millions 2014 up 996.2% volatile
108 Myanmar 6.95 millions 2017 — volatile
109 Bermuda 6.77 millions 2015 up 0.3% volatile
110 Senegal 6.77 millions 2018 down 22.3% volatile
111 Belize 6.45 millions 2018 up 444.0% volatile
112 Seychelles 5.66 millions 2016 up 185.6% volatile
113 Monaco 4.44 millions 2019 up 63.5% rising
114 Jordan 4.4 millions 2019 down 24.2% volatile
115 Brunei 4.22 millions 2016 — volatile
116 Namibia 4.05 millions 2017 up 72.4% volatile
117 Zambia 3.89 millions 2017 — volatile
118 Saint Kitts and Nevis 3.8 millions 2015 — volatile
119 Eswatini 3.72 millions 2014 up 9,132.1% volatile
120 Rwanda 3.62 millions 2018 up 135.0% volatile
121 Togo 3.52 millions 2016 — volatile
122 Burkina Faso 3.07 millions 2016 up 527.4% volatile
123 Mauritania 2.42 millions 2019 up 547.8% volatile
124 Mali 2.05 millions 2017 down 56.2% volatile
125 Comoros 1.74 millions 2015 up 4,010.4% volatile
126 Dominica 1.14 millions 2019 up 3,975.5% volatile
127 Cape Verde 0.9489 millions 2017 up 258.7% volatile
128 Chad 0.881 millions 2011 — volatile
129 Barbados 0.8739 millions 2008 down 86.6% volatile
130 Saint Vincent and the Grenadines 0.7387 millions 2015 up 564.8% volatile
131 Fiji 0.6803 millions 2011 up 110.4% volatile
132 Madagascar 0.5658 millions 2012 — volatile
133 Central African Republic 0.5428 millions 2010 — volatile
134 Lesotho 0.3959 millions 2018 up 32.0% volatile
135 Guinea 0.3717 millions 2018 — volatile
136 Haiti 0.0659 millions 1991 — volatile
137 Burundi 0.0407 millions 2013 down 25.3% volatile
138 Vanuatu 0.0369 millions 2017 down 79.5% volatile
139 Botswana 0.0249 millions 2009 — volatile
140 Afghanistan 0 millions 2017 — volatile
140 Bangladesh 0 millions 2012 — flat
140 Bahrain 0 millions 2011 — flat
140 Bhutan 0 millions 2015 — volatile
140 Democratic Republic of Congo 0 millions 2015 down 100.0% volatile
140 Gambia 0 millions 2015 — flat
140 Saint Lucia 0 millions 2018 down 100.0% volatile
140 Sri Lanka 0 millions 2018 — flat
140 Morocco 0 millions 2013 — volatile
140 North Macedonia 0 millions 1996 — flat
140 Malawi 0 millions 2016 — volatile
140 Pakistan 0 millions 1987 — flat
140 Sierra Leone 0 millions 2019 — flat
140 Syria 0 millions 2015 — flat
140 Tonga 0 millions 2003 — flat
140 Tunisia 0 millions 2010 — volatile
140 Turkey 0 millions 2006 down 100.0% volatile
140 Uganda 0 millions 2014 — flat

About this data

Indicator
Government expenditure on pre-primary education, US$ (millions)
Unit
millions
Source
UNESCO Institute for Statistics
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
158 places, 3,075 data points, 1970–2019
Last refreshed

Total general (local, regional and central) government expenditure on pre-primary education (current, capital, and transfers) in millions US$ (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 US$. 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/