Statizoid

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

Total general (local, regional and central) government expenditure on pre-primary education (current, capital, and transfers) in millions US$ in constant value (taking into account inflation). It includes expenditure funded by transfers from international sources to government. Total government expenditure for a...

Countries reporting
154
Highest
61,662 millions
United States
Lowest
0 millions
Venezuela
Median
58.24 millions
Years covered
50
1970–2019
Data points
2,982

What the numbers show

Government expenditure on pre-primary education, constant US$ (millions) is currently reported for 154 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 58.24 millions, and the mean is 1,472 millions.

Over the past decade 95 countries rose and 17 fell. The largest increase was in Eswatini (up 6,281.7%), and the largest decrease in Democratic Republic of Congo (down 100.0%).

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

#Country LatestYear 10-year changeTrend
1 United States 61,662 millions 2017 — rising
2 France 18,240 millions 2017 — rising
3 Germany 18,088 millions 2017 up 52.5% rising
4 Russia 13,924 millions 2013 up 144.7% rising
5 Brazil 10,482 millions 2011 up 133.0% rising
6 Italy 9,277 millions 2017 down 0.5% rising
7 Sweden 6,543 millions 2017 up 152.9% volatile
8 South Korea 6,258 millions 2016 — volatile
9 United Kingdom 5,986 millions 2017 down 23.4% volatile
10 Spain 5,830 millions 2017 down 20.9% volatile
11 Mexico 5,233 millions 2011 up 65.5% rising
12 Japan 4,936 millions 2017 up 20.1% rising
13 Poland 3,519 millions 2017 up 87.2% rising
14 Belgium 3,447 millions 2017 up 30.7% volatile
15 Israel 3,090 millions 2017 up 108.8% volatile
16 Argentina 3,084 millions 2017 up 66.6% volatile
17 Australia 3,065 millions 2017 up 592.6% volatile
18 Norway 2,860 millions 2017 up 158.2% volatile
19 Netherlands 2,841 millions 2017 up 4.9% rising
20 Switzerland 2,806 millions 2017 up 169.2% volatile
21 Denmark 2,732 millions 2017 up 39.6% volatile
22 Austria 2,113 millions 2017 up 41.9% volatile
23 Chile 2,072 millions 2017 up 187.5% volatile
24 Canada 2,058 millions 2000 up 18.0% rising
25 Finland 1,819 millions 2017 up 124.4% volatile
26 Vietnam 1,551 millions 2013 up 174.6% rising
27 Peru 1,359 millions 2019 up 155.6% volatile
28 Ecuador 1,233 millions 2018 up 55.9% volatile
29 Czechia 1,145 millions 2017 up 69.3% rising
30 Ukraine 1,061 millions 2017 up 9.4% rising
31 India 1,052 millions 2013 up 121.1% rising
32 Hungary 996.97 millions 2017 up 16.9% rising
33 Thailand 909.28 millions 2013 down 26.0% volatile
34 Portugal 880.57 millions 2017 up 14.5% volatile
35 New Zealand 865.06 millions 2017 up 144.1% volatile
36 Hong Kong 800.65 millions 2019 up 143.2% volatile
37 Colombia 760.44 millions 2018 up 21.8% volatile
38 Cuba 724.58 millions 2010 up 96.1% rising
39 Romania 665.21 millions 2017 up 6.9% rising
40 China 664.14 millions 1999 up 177.6% volatile
41 Belarus 628.55 millions 2017 up 48.4% rising
42 Kazakhstan 564.62 millions 2016 up 345.8% volatile
43 Bulgaria 552.5 millions 2017 up 61.2% rising
44 Greece 511.89 millions 2017 — volatile
45 Slovakia 509.02 millions 2017 up 87.7% rising
46 Indonesia 506.42 millions 2014 up 318.5% volatile
47 Puerto Rico 484.65 millions 2014 — volatile
48 Malaysia 468.13 millions 2019 up 217.9% volatile
49 Kuwait 409.24 millions 2014 up 15.9% volatile
50 Uruguay 351.49 millions 2018 up 273.3% volatile
51 Guatemala 323.47 millions 2019 up 88.2% volatile
52 Luxembourg 307.43 millions 2017 up 25.3% volatile
53 Croatia 301.02 millions 2017 up 9.5% rising
54 Lithuania 296.19 millions 2017 up 27.8% rising
55 South Africa 279.68 millions 2019 up 122.5% volatile
56 Slovenia 254.54 millions 2017 up 1.6% rising
57 Latvia 248.79 millions 2017 up 22.5% rising
58 Ireland 221.78 millions 2015 up 3,710.9% volatile
59 Iceland 221.27 millions 2017 up 66.9% volatile
60 Dominican Republic 212.96 millions 2019 up 270.4% volatile
61 Costa Rica 177.01 millions 2019 up 19.5% volatile
62 Ghana 169.27 millions 2014 up 31.5% volatile
63 Moldova 133.66 millions 2018 up 24.9% rising
64 Mongolia 122.96 millions 2017 up 130.6% rising
65 Paraguay 111.2 millions 2016 up 159.1% volatile
66 El Salvador 94.37 millions 2018 up 11.2% rising
67 Azerbaijan 89.85 millions 2018 up 61.0% volatile
68 Oman 85.53 millions 2019 — volatile
69 Honduras 85.35 millions 2013 — volatile
70 Philippines 85.31 millions 2009 up 1,457.2% volatile
71 Tanzania 83.86 millions 2014 up 68.0% volatile
72 Estonia 82.59 millions 2013 up 48.1% falling
73 Cyprus 71.66 millions 2017 up 12.6% volatile
74 Iran 67.3 millions 2018 down 48.7% volatile
75 Cote d'Ivoire 62.15 millions 2018 up 148.6% volatile
76 Kyrgyzstan 61.35 millions 2017 up 224.2% volatile
77 Singapore 58.44 millions 2017 — volatile
78 Kenya 58.05 millions 2015 up 55.5% volatile
79 Ethiopia 56.18 millions 2015 up 5,958.0% volatile
80 Trinidad and Tobago 54.05 millions 2009 up 138.6% volatile
81 Malta 44.75 millions 2017 up 54.1% volatile
82 Panama 41.17 millions 2011 up 55.3% volatile
83 Armenia 37.44 millions 2017 up 42.6% rising
84 Georgia 36.97 millions 2012 — falling
85 Cameroon 32.02 millions 2013 — volatile
86 Niger 31.03 millions 2017 — volatile
87 Jamaica 29.99 millions 2019 down 58.8% volatile
88 Serbia 28.12 millions 2018 up 307.4% volatile
89 Laos 26.44 millions 2014 up 825.7% volatile
90 Zimbabwe 25.48 millions 2014 — volatile
91 Maldives 23.14 millions 2019 up 5.1% rising
92 Congo 22.08 millions 2010 up 1,582.2% volatile
93 Liberia 20.21 millions 2018 — volatile
94 Tajikistan 17.38 millions 2015 up 299.2% volatile
95 Nepal 15.95 millions 2015 — volatile
96 Benin 15.9 millions 2015 up 420.1% volatile
97 Nicaragua 15.46 millions 2010 up 708.8% volatile
98 Gabon 14.38 millions 2014 — rising
99 Andorra 11.57 millions 2019 down 6.9% rising
100 Guyana 11.03 millions 2012 down 48.6% volatile
101 San Marino 10.68 millions 2018 up 23.8% volatile
102 Aruba 9.42 millions 2016 up 0.8% rising
103 Cambodia 9.11 millions 2014 up 596.0% volatile
104 Mauritius 7.92 millions 2019 up 90.2% volatile
105 Myanmar 6.95 millions 2017 — volatile
106 Senegal 6.5 millions 2018 down 15.0% volatile
107 Belize 6.35 millions 2018 up 362.4% volatile
108 Seychelles 5.8 millions 2016 up 205.9% volatile
109 Jordan 4.26 millions 2019 down 47.0% volatile
110 Saint Kitts and Nevis 4.07 millions 2015 — volatile
111 Namibia 4.05 millions 2017 up 82.3% volatile
112 Zambia 3.89 millions 2017 — volatile
113 Brunei 3.82 millions 2016 — volatile
114 Togo 3.62 millions 2016 — volatile
115 Rwanda 3.55 millions 2018 up 101.9% volatile
116 Burkina Faso 3.19 millions 2016 up 443.0% volatile
117 Eswatini 2.97 millions 2014 up 6,281.7% volatile
118 Monaco 2.73 millions 2016 up 18.9% rising
119 Mauritania 2.33 millions 2019 up 535.7% volatile
120 Mali 2.05 millions 2017 down 59.1% volatile
121 Comoros 1.81 millions 2015 up 2,478.9% volatile
122 Dominica 1.14 millions 2019 up 3,174.6% volatile
123 Cape Verde 0.9489 millions 2017 up 283.2% volatile
124 Barbados 0.9459 millions 2008 down 90.3% volatile
125 Fiji 0.7605 millions 2011 up 62.9% volatile
126 Saint Vincent and the Grenadines 0.7527 millions 2015 up 446.7% volatile
127 Central African Republic 0.6595 millions 2010 — volatile
128 Chad 0.6295 millions 2011 — volatile
129 Madagascar 0.5464 millions 2012 — volatile
130 Lesotho 0.3517 millions 2018 up 32.8% volatile
131 Guinea 0.3342 millions 2018 — volatile
132 Haiti 0.13 millions 1991 — volatile
133 Burundi 0.0526 millions 2013 down 62.6% volatile
134 Vanuatu 0.0369 millions 2017 down 82.7% volatile
135 Botswana 0.027 millions 2009 — volatile
136 Afghanistan 0 millions 2017 — flat
136 Bangladesh 0 millions 2012 — flat
136 Bahrain 0 millions 2011 — flat
136 Bhutan 0 millions 2015 — flat
136 Democratic Republic of Congo 0 millions 2015 down 100.0% volatile
136 Gambia 0 millions 2015 — flat
136 Saint Lucia 0 millions 2018 down 100.0% volatile
136 Sri Lanka 0 millions 2018 — flat
136 Morocco 0 millions 2013 — volatile
136 North Macedonia 0 millions 1996 — flat
136 Malawi 0 millions 2016 — volatile
136 Pakistan 0 millions 1987 — flat
136 Sierra Leone 0 millions 2019 — flat
136 Syria 0 millions 2015 — flat
136 Tonga 0 millions 2003 — flat
136 Tunisia 0 millions 2010 — volatile
136 Turkey 0 millions 2006 down 100.0% volatile
136 Uganda 0 millions 2014 — flat
136 Venezuela 0 millions 1975 — flat

About this data

Indicator
Government expenditure on pre-primary education, constant US$ (millions)
Unit
millions
Source
UNESCO Institute for Statistics
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
155 places, 2,982 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$ 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 US$, and where it is expressed in constant value, uses a GDP deflator to account for inflation. The constant prices base year is normally three years before the year of the data release. For example, in the July 2017 data release, constant US$ 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/