Initial government funding per pre-primary student, constant PPP$ by country
Total general (local, regional and central, current and capital) initial government funding of education per student, which includes transfers paid (such as scholarships to students), but excludes transfers received, in this case international transfers to government for education (when foreign donors provide...
What the numbers show
Initial government funding per pre-primary student, constant PPP$ is currently reported for 136 countries. The highest value is 14,740 in Denmark; the lowest is 0 in Venezuela.
The median across all reporting countries is 871.85, and the mean is 2,572.
Over the past decade 66 countries rose and 26 fell. The largest increase was in Dominica (up 4,129.9%), and the largest decrease in Democratic Republic of Congo (down 100.0%).
Initial government funding per pre-primary student, constant PPP$: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 2 | Denmark | 14,740 | 2017 | up 97.0% | volatile |
| 3 | Sweden | 13,873 | 2017 | up 95.8% | volatile |
| 4 | Switzerland | 13,519 | 2017 | up 138.1% | rising |
| 5 | Norway | 13,193 | 2017 | up 130.5% | volatile |
| 6 | Iceland | 13,172 | 2017 | up 51.7% | rising |
| 7 | Finland | 10,049 | 2017 | up 73.2% | volatile |
| 8 | Austria | 9,819 | 2017 | up 25.5% | rising |
| 9 | Germany | 9,301 | 2017 | up 19.7% | rising |
| 10 | Belgium | 8,695 | 2017 | up 20.1% | rising |
| 11 | Kuwait | 8,086 | 2014 | down 12.3% | volatile |
| 12 | New Zealand | 7,958 | 2017 | — | rising |
| 13 | Italy | 7,866 | 2017 | up 8.1% | rising |
| 14 | Puerto Rico | 7,614 | 2013 | — | volatile |
| 16 | United States | 7,045 | 2017 | — | rising |
| 17 | Russia | 6,714 | 2013 | up 67.0% | rising |
| 18 | Hungary | 6,581 | 2017 | up 23.8% | rising |
| 19 | Slovenia | 6,529 | 2017 | down 27.7% | flat |
| 20 | Netherlands | 6,367 | 2017 | up 0.7% | volatile |
| 21 | Bulgaria | 6,339 | 2017 | up 49.1% | rising |
| 22 | Spain | 6,240 | 2017 | up 8.9% | volatile |
| 23 | South Korea | 6,164 | 2016 | — | volatile |
| 24 | Latvia | 5,977 | 2017 | up 8.0% | rising |
| 25 | Hong Kong | 5,944 | 2019 | up 92.1% | volatile |
| 26 | Czechia | 5,893 | 2017 | up 32.6% | rising |
| 27 | Belarus | 5,877 | 2017 | up 18.4% | rising |
| 28 | Poland | 5,708 | 2017 | up 20.4% | rising |
| 29 | Lithuania | 5,708 | 2017 | up 6.7% | rising |
| 30 | Israel | 5,507 | 2017 | up 52.6% | rising |
| 31 | Portugal | 5,436 | 2017 | up 21.1% | volatile |
| 32 | Chile | 5,300 | 2017 | up 90.0% | rising |
| 33 | Slovakia | 5,289 | 2017 | up 59.2% | rising |
| 34 | Australia | 5,247 | 2017 | up 178.4% | rising |
| 35 | Croatia | 5,064 | 2017 | down 15.6% | rising |
| 36 | Aruba | 4,498 | 2014 | up 16.6% | rising |
| 37 | Trinidad and Tobago | 4,428 | 2007 | up 171.2% | volatile |
| 38 | Ukraine | 4,311 | 2017 | up 6.9% | rising |
| 39 | Cyprus | 4,222 | 2017 | down 9.7% | rising |
| 40 | Japan | 3,866 | 2017 | up 178.9% | rising |
| 41 | United Kingdom | 3,650 | 2017 | down 56.4% | volatile |
| 42 | Ecuador | 3,610 | 2018 | up 2.9% | volatile |
| 43 | Moldova | 3,292 | 2018 | down 0.9% | flat |
| 44 | Brazil | 3,265 | 2011 | — | rising |
| 45 | Romania | 3,211 | 2017 | up 33.1% | rising |
| 46 | Seychelles | 3,201 | 2016 | up 178.4% | volatile |
| 47 | Uruguay | 3,180 | 2018 | up 305.2% | volatile |
| 49 | Argentina | 2,939 | 2017 | up 35.8% | volatile |
| 50 | Mexico | 2,370 | 2011 | up 24.0% | rising |
| 51 | Maldives | 2,226 | 2019 | down 13.5% | flat |
| 52 | Costa Rica | 2,092 | 2019 | down 4.8% | volatile |
| 53 | Thailand | 2,043 | 1997 | — | volatile |
| 54 | Oman | 1,869 | 2019 | — | volatile |
| 55 | Estonia | 1,813 | 2013 | up 2.6% | falling |
| 56 | Armenia | 1,771 | 2017 | up 10.0% | flat |
| 57 | Kazakhstan | 1,724 | 2016 | up 52.7% | rising |
| 58 | Mongolia | 1,557 | 2017 | down 10.3% | rising |
| 59 | Peru | 1,508 | 2019 | up 105.8% | volatile |
| 60 | Azerbaijan | 1,507 | 2018 | down 29.3% | rising |
| 61 | Dominican Republic | 1,413 | 2019 | up 168.0% | volatile |
| 62 | Paraguay | 1,362 | 2016 | up 168.5% | volatile |
| 63 | Vietnam | 1,321 | 2013 | up 107.8% | rising |
| 64 | Belize | 1,288 | 2018 | up 265.0% | volatile |
| 65 | Malaysia | 1,212 | 2019 | up 149.0% | volatile |
| 66 | Dominica | 1,149 | 2019 | up 4,129.9% | volatile |
| 67 | Kyrgyzstan | 1,123 | 2017 | down 8.7% | rising |
| 68 | Guatemala | 1,024 | 2019 | up 52.4% | rising |
| 69 | Congo | 990.93 | 2010 | up 487.2% | volatile |
| 70 | Colombia | 981.04 | 2018 | down 4.0% | volatile |
| 71 | Panama | 904.57 | 2011 | up 10.2% | volatile |
| 72 | El Salvador | 839.13 | 2018 | up 2.4% | rising |
| 73 | South Africa | 810.4 | 2019 | up 57.5% | volatile |
| 74 | Honduras | 808.57 | 2013 | — | volatile |
| 75 | Cote d'Ivoire | 786.95 | 2018 | down 27.1% | volatile |
| 76 | Tajikistan | 776.46 | 2015 | up 188.0% | rising |
| 77 | Guyana | 775.59 | 2012 | up 3.0% | volatile |
| 78 | Mauritius | 664.27 | 2019 | up 168.6% | volatile |
| 79 | Brunei | 595.31 | 2016 | — | volatile |
| 80 | India | 546.35 | 2013 | up 65.1% | rising |
| 81 | Laos | 528.05 | 2014 | up 138.3% | rising |
| 82 | Jamaica | 504.7 | 2019 | down 45.4% | flat |
| 83 | Serbia | 451.29 | 2018 | up 283.8% | volatile |
| 84 | Senegal | 449.09 | 2015 | up 243.6% | volatile |
| 85 | Niger | 393.48 | 2017 | — | volatile |
| 86 | Comoros | 339.49 | 2014 | — | volatile |
| 87 | Indonesia | 269.79 | 2014 | up 191.3% | volatile |
| 88 | Benin | 255.3 | 2015 | down 2.7% | rising |
| 89 | Tanzania | 205.59 | 2014 | down 10.9% | volatile |
| 90 | Nicaragua | 197.19 | 2010 | up 639.7% | volatile |
| 91 | Philippines | 166.84 | 2008 | up 551.3% | volatile |
| 92 | Cameroon | 165.28 | 2012 | — | volatile |
| 93 | Burkina Faso | 161.43 | 2016 | up 13.4% | volatile |
| 94 | Barbados | 150.54 | 2008 | down 90.5% | volatile |
| 95 | Iran | 146.82 | 2016 | down 85.8% | volatile |
| 96 | Zimbabwe | 125.2 | 2013 | — | volatile |
| 97 | Fiji | 119.09 | 2004 | — | volatile |
| 98 | Cambodia | 100.09 | 2014 | up 143.0% | rising |
| 99 | Central African Republic | 88.39 | 2009 | — | volatile |
| 100 | Cape Verde | 82.44 | 2017 | up 256.0% | volatile |
| 101 | Ghana | 76.73 | 2014 | down 80.5% | volatile |
| 102 | Jordan | 74.71 | 2019 | down 70.9% | volatile |
| 103 | Togo | 74.65 | 2015 | — | volatile |
| 104 | Zambia | 65.11 | 2016 | — | volatile |
| 105 | Ethiopia | 58.57 | 2015 | up 627.2% | volatile |
| 106 | Nepal | 52.28 | 2015 | — | volatile |
| 107 | Kenya | 47.22 | 2015 | down 20.1% | volatile |
| 108 | Eswatini | 44.15 | 2011 | — | volatile |
| 109 | Mali | 40.54 | 2017 | down 81.6% | volatile |
| 110 | Rwanda | 39.58 | 2018 | up 209.1% | volatile |
| 111 | Madagascar | 12.97 | 2009 | — | volatile |
| 112 | Lesotho | 6.07 | 2006 | — | volatile |
| 113 | Vanuatu | 2.79 | 2015 | down 84.9% | volatile |
| 114 | Burundi | 2.63 | 2013 | down 94.1% | volatile |
| 115 | Botswana | 2.62 | 2009 | — | volatile |
| 116 | Afghanistan | 0 | 2017 | — | flat |
| 116 | Bangladesh | 0 | 2012 | — | flat |
| 116 | Bahrain | 0 | 2011 | — | flat |
| 116 | Bhutan | 0 | 2015 | — | flat |
| 116 | Democratic Republic of Congo | 0 | 2015 | down 100.0% | volatile |
| 116 | Djibouti | 0 | 2010 | — | flat |
| 116 | Guinea | 0 | 2011 | — | flat |
| 116 | Gambia | 0 | 2015 | — | flat |
| 116 | Haiti | 0 | 1985 | — | flat |
| 116 | Saint Lucia | 0 | 2018 | down 100.0% | volatile |
| 116 | Sri Lanka | 0 | 2018 | — | flat |
| 116 | Morocco | 0 | 2013 | — | volatile |
| 116 | North Macedonia | 0 | 1996 | — | flat |
| 116 | Myanmar | 0 | 2019 | — | flat |
| 116 | Malawi | 0 | 2016 | — | flat |
| 116 | Pakistan | 0 | 1987 | — | flat |
| 116 | Singapore | 0 | 2012 | — | flat |
| 116 | Sierra Leone | 0 | 2019 | — | flat |
| 116 | Syria | 0 | 2012 | — | flat |
| 116 | Tonga | 0 | 2004 | — | flat |
| 116 | Tunisia | 0 | 2010 | — | volatile |
| 116 | Turkey | 0 | 2006 | — | volatile |
| 116 | Uganda | 0 | 2014 | — | flat |
| 116 | Venezuela | 0 | 1975 | — | flat |
About this data
Total general (local, regional and central, current and capital) initial government funding of education per student, which includes transfers paid (such as scholarships to students), but excludes transfers received, in this case international transfers to government for education (when foreign donors provide education sector budget support or other support integrated in the government budget). Calculation Method: Total general (local, regional and central) government expenditure (current and capital) on a given level of education (primary, secondary, etc) minus international transfers to government for education, divided by the number of student enrolled at that level of education. This is then expressed at constant purchasing power parity (constant 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. There are also cases where it may not be possible to separate international transfers to government from general government expenditure on education, in which cases they have not been subtracted in the formula. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/