Secondary education, vocational pupils, gaps filled by country
Secondary education, vocational pupils with 606 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.
What the numbers show
Secondary education, vocational pupils, gaps filled is currently reported for 199 countries. The highest value is 15.93 million in China; the lowest is 0 in Zimbabwe.
The median across all reporting countries is 26,832, and the mean is 315,947.
Over the past decade 87 countries rose and 90 fell. The largest increase was in Sao Tome and Principe (up 1,353.0%), and the largest decrease in Comoros (down 100.0%).
Secondary education, vocational pupils, gaps filled: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 15.93 million | 2018 | down 15.8% | volatile |
| 2 | Indonesia | 4.90 million | 2018 | up 79.0% | volatile |
| 3 | Mexico | 3.75 million | 2017 | up 124.1% | volatile |
| 4 | Türkiye | 2.71 million | 2017 | up 131.5% | volatile |
| 5 | India | 2.30 million | 2017 | up 209.9% | volatile |
| 6 | United Kingdom of Great Britain and Northern Ireland | 2.21 million | 2017 | up 123.6% | volatile |
| 7 | Egypt | 2.02 million | 2018 | up 57.4% | volatile |
| 8 | Italy | 1.57 million | 2017 | down 7.2% | falling |
| 9 | Russian Federation | 1.43 million | 2017 | down 22.2% | flat |
| 10 | Uzbekistan | 1.36 million | 2017 | up 52.5% | volatile |
| 11 | Germany | 1.35 million | 2017 | down 21.9% | falling |
| 12 | France | 1.08 million | 2017 | down 8.6% | rising |
| 13 | Australia | 970,735 | 2017 | — | rising |
| 14 | Brazil | 956,632 | 2017 | down 4.1% | falling |
| 15 | Congo, Democratic Republic of the | 870,961 | 2015 | up 55.0% | volatile |
| 16 | Japan | 812,494 | 2017 | — | flat |
| 17 | Bolivia, Plurinational State of | 788,570 | 2018 | up 23.7% | volatile |
| 18 | Iran, Islamic Republic of | 763,440 | 2017 | down 11.8% | volatile |
| 19 | Bangladesh | 757,289 | 2018 | up 119.7% | volatile |
| 20 | Poland | 684,955 | 2017 | down 12.7% | falling |
| 21 | Thailand | 656,118 | 2018 | down 15.5% | rising |
| 22 | Spain | 621,174 | 2017 | up 26.1% | falling |
| 23 | Netherlands | 618,788 | 2017 | down 7.8% | rising |
| 24 | Philippines | 562,545 | 2017 | — | volatile |
| 25 | Belgium | 524,924 | 2017 | down 28.9% | rising |
| 26 | Argentina | 518,357 | 1998 | down 55.4% | rising |
| 27 | Cameroon | 477,192 | 2016 | up 304.3% | volatile |
| 28 | Pakistan | 446,376 | 2018 | up 30.4% | volatile |
| 29 | Romania | 413,229 | 2017 | down 38.2% | falling |
| 30 | Algeria | 380,890 | 2011 | up 35.0% | volatile |
| 31 | Colombia | 362,733 | 2018 | up 17.3% | falling |
| 32 | South Africa | 355,438 | 2017 | up 33.3% | volatile |
| 33 | Ethiopia | 352,134 | 2015 | up 231.2% | volatile |
| 34 | Guatemala | 351,870 | 2018 | up 38.9% | volatile |
| 35 | Republic of Korea | 293,568 | 2017 | down 41.0% | falling |
| 36 | Chile | 292,757 | 2017 | down 24.7% | rising |
| 37 | Angola | 287,600 | 2016 | up 13.9% | volatile |
| 38 | Malaysia | 285,095 | 2018 | up 71.4% | volatile |
| 39 | Czechia | 283,313 | 2017 | down 21.3% | falling |
| 40 | Ecuador | 269,817 | 2018 | down 8.6% | volatile |
| 41 | Finland | 261,660 | 2017 | up 107.7% | rising |
| 42 | Honduras | 252,425 | 2017 | — | volatile |
| 43 | Morocco | 246,199 | 2018 | up 93.6% | volatile |
| 44 | Austria | 238,161 | 2017 | down 20.9% | falling |
| 45 | Switzerland | 226,342 | 2017 | up 18.8% | falling |
| 46 | Nigeria | 216,726 | 1990 | down 15.6% | volatile |
| 47 | Cuba | 207,590 | 2018 | down 9.1% | rising |
| 48 | Kazakhstan | 203,284 | 2019 | down 7.9% | falling |
| 49 | Portugal | 192,356 | 2017 | up 54.2% | volatile |
| 50 | Sweden | 186,467 | 2017 | down 16.2% | rising |
| 51 | Serbia | 185,638 | 2018 | down 15.3% | falling |
| 52 | Libya | 178,052 | 2003 | up 46.7% | volatile |
| 53 | Ukraine | 177,070 | 2018 | down 37.3% | falling |
| 54 | Israel | 161,579 | 2017 | up 31.6% | rising |
| 55 | Azerbaijan | 152,777 | 2018 | — | volatile |
| 56 | Bulgaria | 141,163 | 2017 | down 26.0% | falling |
| 57 | Slovakia | 137,227 | 2017 | down 36.2% | falling |
| 58 | Croatia | 132,833 | 2017 | down 11.4% | falling |
| 59 | Venezuela, Bolivarian Republic of | 128,976 | 2017 | up 9.9% | rising |
| 60 | Canada | 128,399 | 2017 | up 10.4% | volatile |
| 61 | Mali | 127,718 | 2018 | up 69.7% | volatile |
| 62 | Norway | 126,007 | 2017 | down 7.0% | rising |
| 63 | Côte d'Ivoire | 116,644 | 2018 | — | volatile |
| 64 | Denmark | 114,940 | 2017 | down 8.6% | flat |
| 65 | Mozambique | 112,327 | 2017 | up 304.3% | volatile |
| 66 | Costa Rica | 108,578 | 2018 | up 84.5% | volatile |
| 67 | Sri Lanka | 105,865 | 2018 | down 20.9% | volatile |
| 68 | Greece | 103,933 | 2017 | down 4.7% | flat |
| 69 | Hungary | 98,381 | 2017 | down 23.0% | volatile |
| 70 | Paraguay | 96,957 | 2016 | up 98.8% | volatile |
| 71 | Tunisia | 94,981 | 2016 | down 15.8% | rising |
| 72 | Bosnia and Herzegovina | 94,557 | 2018 | down 20.0% | falling |
| 73 | El Salvador | 91,653 | 2018 | down 12.1% | rising |
| 74 | Rwanda | 88,574 | 2018 | up 88.9% | volatile |
| 75 | Syrian Arab Republic | 88,569 | 2013 | down 27.2% | volatile |
| 76 | Uruguay | 83,446 | 2017 | up 90.7% | rising |
| 77 | Belarus | 82,592 | 2018 | down 23.3% | flat |
| 78 | Ghana | 76,770 | 2019 | up 53.4% | rising |
| 79 | Dominican Republic | 75,571 | 2018 | up 82.9% | rising |
| 80 | Iraq | 70,869 | 2007 | down 32.0% | volatile |
| 81 | New Zealand | 70,251 | 2017 | down 39.0% | volatile |
| 82 | Burundi | 68,831 | 2018 | up 420.9% | volatile |
| 83 | Slovenia | 66,513 | 2017 | up 17.3% | falling |
| 84 | Lebanon | 62,551 | 2018 | up 9.7% | rising |
| 85 | Niger | 56,458 | 2017 | up 858.9% | volatile |
| 86 | Peru | 55,088 | 2018 | up 30.0% | volatile |
| 87 | Panama | 54,671 | 2017 | up 27.2% | rising |
| 88 | Kyrgyzstan | 54,632 | 2018 | up 49.0% | flat |
| 89 | North Macedonia | 45,294 | 2017 | down 22.1% | falling |
| 90 | Papua New Guinea | 43,678 | 2016 | — | volatile |
| 91 | Nepal | 42,255 | 2019 | up 180.7% | rising |
| 92 | Togo | 42,212 | 2017 | up 32.6% | volatile |
| 93 | Uganda | 41,242 | 2007 | up 6.5% | volatile |
| 94 | Madagascar | 36,093 | 2018 | up 9.1% | rising |
| 95 | Congo | 34,336 | 2012 | up 16.0% | volatile |
| 96 | Republic of Moldova | 30,801 | 2018 | down 19.9% | falling |
| 97 | Mongolia | 30,181 | 2018 | up 21.2% | rising |
| 98 | Burkina Faso | 28,566 | 2018 | up 11.5% | volatile |
| 99 | Benin | 27,875 | 2016 | down 9.8% | volatile |
| 100 | Singapore | 26,832 | 2009 | up 183.2% | rising |
| 101 | Guinea | 26,313 | 2014 | up 522.1% | volatile |
| 102 | Suriname | 25,412 | 2018 | up 12.7% | rising |
| 103 | Senegal | 25,162 | 2018 | up 4.7% | volatile |
| 104 | Sudan | 24,900 | 2017 | down 17.7% | flat |
| 105 | Lithuania | 24,108 | 2017 | down 36.0% | falling |
| 106 | Latvia | 23,901 | 2017 | down 35.3% | falling |
| 107 | Jordan | 23,181 | 2018 | down 17.8% | rising |
| 108 | Afghanistan | 21,902 | 2018 | up 125.4% | volatile |
| 109 | Sierra Leone | 21,454 | 2001 | up 295.5% | volatile |
| 110 | Cambodia | 21,167 | 2008 | up 125.6% | rising |
| 111 | Saudi Arabia | 21,120 | 2018 | down 78.3% | volatile |
| 112 | Albania | 20,605 | 2018 | down 30.5% | volatile |
| 113 | Armenia | 19,676 | 2018 | up 63.3% | volatile |
| 114 | Ireland | 19,280 | 2017 | down 62.4% | volatile |
| 115 | Estonia | 19,102 | 2017 | down 0.4% | falling |
| 116 | Montenegro | 19,056 | 2018 | down 12.3% | falling |
| 117 | Liberia | 17,565 | 2011 | down 61.0% | volatile |
| 118 | Luxembourg | 16,067 | 2017 | up 35.7% | rising |
| 119 | Kenya | 15,672 | 2009 | up 63.2% | rising |
| 120 | Tajikistan | 15,038 | 2013 | down 41.1% | falling |
| 121 | Timor-Leste | 14,120 | 2018 | — | volatile |
| 122 | Gambia | 11,962 | 2010 | — | volatile |
| 123 | Mauritius | 11,709 | 2018 | down 38.9% | volatile |
| 124 | Georgia | 10,653 | 2018 | up 574.2% | volatile |
| 125 | Botswana | 10,094 | 2007 | up 8.7% | volatile |
| 126 | Zambia | 9,486 | 1994 | up 18.4% | rising |
| 127 | United Arab Emirates | 8,206 | 2017 | — | volatile |
| 128 | Tanzania, United Republic of | 8,024 | 2018 | down 95.7% | volatile |
| 129 | New Caledonia | 7,860 | 1997 | up 33.7% | rising |
| 130 | Chad | 7,791 | 2016 | up 107.7% | rising |
| 131 | Gabon | 7,587 | 2002 | down 31.3% | volatile |
| 132 | Hong Kong, China | 7,495 | 2018 | up 16.6% | volatile |
| 133 | Myanmar | 7,348 | 2018 | — | volatile |
| 134 | Kuwait | 7,275 | 2015 | down 29.8% | volatile |
| 135 | Lao People's Democratic Republic | 7,065 | 2018 | up 181.8% | volatile |
| 136 | Nicaragua | 6,880 | 2010 | down 61.5% | volatile |
| 137 | Iceland | 6,768 | 2017 | down 3.3% | rising |
| 138 | Puerto Rico | 6,618 | 2016 | — | volatile |
| 139 | Bahrain | 6,543 | 2018 | down 45.8% | volatile |
| 140 | Palestine, State of | 5,387 | 2018 | down 18.2% | volatile |
| 141 | Brunei Darussalam | 5,257 | 2018 | up 51.0% | volatile |
| 142 | Central African Republic | 5,149 | 2017 | up 20.7% | rising |
| 143 | Malta | 4,981 | 2017 | down 5.6% | falling |
| 144 | Cyprus | 4,818 | 2017 | up 14.6% | falling |
| 145 | Yemen | 4,792 | 2016 | down 52.3% | volatile |
| 146 | Djibouti | 4,677 | 2019 | up 140.0% | volatile |
| 147 | Haiti | 4,600 | 1996 | up 6.1% | rising |
| 148 | Guyana | 4,548 | 2012 | down 22.9% | rising |
| 149 | French Polynesia | 4,310 | 1997 | up 4.8% | rising |
| 150 | Eswatini | 4,230 | 2016 | — | volatile |
| 151 | Belize | 3,301 | 2018 | up 151.4% | volatile |
| 152 | Lesotho | 2,858 | 2017 | up 61.0% | volatile |
| 153 | Eritrea | 2,822 | 2018 | up 72.4% | rising |
| 154 | Malawi | 2,525 | 1996 | up 38.9% | rising |
| 155 | Guam | 1,800 | 1997 | up 63.6% | volatile |
| 156 | Oman | 1,653 | 2018 | down 15.6% | volatile |
| 157 | Bhutan | 1,583 | 2018 | up 23.3% | volatile |
| 158 | Equatorial Guinea | 1,480 | 2005 | down 43.3% | volatile |
| 159 | Sao Tome and Principe | 1,453 | 2017 | up 1,353.0% | volatile |
| 160 | Fiji | 1,389 | 2012 | down 47.6% | flat |
| 161 | Cape Verde | 1,212 | 2018 | down 24.0% | rising |
| 162 | Mauritania | 1,122 | 2018 | down 64.7% | rising |
| 163 | Liechtenstein | 1,120 | 2017 | down 3.0% | volatile |
| 164 | Maldives | 1,115 | 2004 | up 696.4% | volatile |
| 165 | Aruba | 1,088 | 2012 | down 9.2% | rising |
| 166 | Guinea-Bissau | 977 | 2006 | up 12.4% | rising |
| 167 | Macau, China | 936 | 2018 | down 20.1% | volatile |
| 168 | Trinidad and Tobago | 892 | 2004 | up 29.7% | volatile |
| 169 | Qatar | 720 | 2018 | up 19.2% | rising |
| 170 | Vanuatu | 500 | 2015 | down 84.6% | volatile |
| 171 | Andorra | 488 | 2018 | up 86.3% | volatile |
| 172 | Tonga | 399 | 2015 | down 64.4% | rising |
| 173 | Micronesia, Federated States of | 318 | 1977 | down 22.2% | flat |
| 174 | Monaco | 295 | 2019 | down 48.9% | falling |
| 175 | Antigua and Barbuda | 282 | 2018 | down 45.1% | rising |
| 176 | American Samoa | 180 | 1997 | up 45.2% | volatile |
| 177 | Saint Lucia | 137 | 2018 | down 42.9% | volatile |
| 178 | San Marino | 108 | 2018 | down 78.9% | volatile |
| 179 | Namibia | 97 | 1997 | down 49.7% | volatile |
| 180 | Seychelles | 88 | 2018 | down 66.9% | volatile |
| 181 | British Virgin Islands | 79 | 2017 | up 12.9% | volatile |
| 182 | Barbados | 73 | 2005 | — | volatile |
| 183 | Tuvalu | 19 | 2018 | — | volatile |
| 184 | Naoero | 17 | 1985 | — | volatile |
| 185 | Bahamas | 0 | 1997 | — | volatile |
| 185 | Bermuda | 0 | 2016 | — | volatile |
| 185 | Comoros | 0 | 2018 | down 100.0% | volatile |
| 185 | Dominica | 0 | 2015 | down 100.0% | volatile |
| 185 | Gibraltar | 0 | 2009 | — | volatile |
| 185 | Grenada | 0 | 2016 | down 100.0% | volatile |
| 185 | Jamaica | 0 | 2012 | down 100.0% | volatile |
| 185 | Kiribati | 0 | 2008 | — | volatile |
| 185 | Saint Kitts and Nevis | 0 | 1995 | down 100.0% | volatile |
| 185 | Solomon Islands | 0 | 1994 | down 100.0% | volatile |
| 185 | Somalia | 0 | 2007 | — | volatile |
| 185 | Turks and Caicos Islands | 0 | 2009 | down 100.0% | volatile |
| 185 | Saint Vincent and the Grenadines | 0 | 2017 | down 100.0% | volatile |
| 185 | Samoa | 0 | 1996 | down 100.0% | falling |
| 185 | Zimbabwe | 0 | 1997 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 62.50 million
- IDA & IBRD total 49.60 million
- Low & middle income 48.60 million
- Middle income 46.30 million
- IBRD only 43.80 million
- Upper middle income 30.80 million
- East Asia & Pacific 24.90 million
- Early-demographic dividend 23.70 million
- Late-demographic dividend 23.00 million
- East Asia & Pacific (excluding high income) 22.90 million
- East Asia & Pacific (IDA & IBRD countries) 22.90 million
- OECD members 19.90 million
- Europe & Central Asia 18.00 million
- Lower middle income 15.50 million
- High income 14.00 million
- Post-demographic dividend 13.00 million
- European Union 11.20 million
- Latin America & Caribbean 7.96 million
- Europe & Central Asia (IDA & IBRD countries) 7.79 million
- Latin America & the Caribbean (IDA & IBRD countries) 7.74 million
- Latin America & Caribbean (excluding high income) 7.52 million
- Europe & Central Asia (excluding high income) 6.99 million
- Euro area 6.88 million
- IDA total 5.82 million
- Middle East, North Africa, Afghanistan & Pakistan 4.24 million
- Heavily indebted poor countries (HIPC) 4.00 million
- South Asia 3.66 million
- South Asia (IDA & IBRD) 3.66 million
- Sub-Saharan Africa 3.65 million
- Sub-Saharan Africa (IDA & IBRD countries) 3.65 million
- Sub-Saharan Africa (excluding high income) 3.65 million
- IDA only 3.60 million
- Least developed countries 3.36 million
- Arab World 3.33 million
- Pre-demographic dividend 2.85 million
- Low income 2.23 million
- IDA blend 2.21 million
- Central Europe and the Baltics 2.02 million
- Small states 183,018
- Other small states 146,518
How this figure is calculated
Secondary education, vocational pupils with 606 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.
Computed from
- Secondary education, vocational pupils Stat Bulk Data Download Service, UN Educational, Scientific and Cultural Organization (UNESCO)
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
Secondary education, vocational pupils with 606 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.