Statizoid

Wittgenstein Projection: Percentage of the population age 20-64 by in Tonga

Tonga: Wittgenstein Projection: Percentage of the population age 20-64 by was 0.0% in 2100. ◆ Volatile

Latest (2100)
0.0%
World rank
23rd
of 166 countries
All-time high
0.0%
in 2010
All-time low
0.0%
in 2025
Years of data
19
2010–2100

Wittgenstein Projection: Percentage of the population age 20-64 by in Tonga, 2010–2100

00.0020.0040.0060.0080.012010205521002010: 0.012015: 0.012020: 0.012025: 02030: 02035: 02040: 02045: 02050: 02055: 02060: 02065: 02070: 02075: 02080: 02085: 02090: 02095: 02100: 0

Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.

Analysis

Tonga recorded 0.0% for wittgenstein projection: percentage of the population age 20-64 by in 2100. That is the lowest value across all 19 years on record.

Over the whole period, wittgenstein projection: percentage of the population age 20-64 by in Tonga peaked at 0.0% in 2010 and was at its lowest, 0.0%, in 2025.

Tonga ranks 23rd of 166 countries on this measure, in the top quarter.

The series is highly variable year to year, so single readings are best treated with caution.

Wittgenstein Projection: Percentage of the population age 20-64 by in Tonga, year by year

Year Value Change
2010 0.0% —
2015 0.0% +0.0%
2020 0.0% +0.0%
2025 0.0% -100.0%
2030 0.0% —
2035 0.0% —
2040 0.0% —
2045 0.0% —
2050 0.0% —
2055 0.0% —
2060 0.0% —
2065 0.0% —
2070 0.0% —
2075 0.0% —
2080 0.0% —
2085 0.0% —
2090 0.0% —
2095 0.0% —
2100 0.0% —

Averages by decade

DecadeAverage LowestHighest Years
2010s 0.0% 0.0% 0.0% 2
2020s 0.0% 0.0% 0.0% 2
2030s 0.0% 0.0% 0.0% 2
2040s 0.0% 0.0% 0.0% 2
2050s 0.0% 0.0% 0.0% 2
2060s 0.0% 0.0% 0.0% 2
2070s 0.0% 0.0% 0.0% 2
2080s 0.0% 0.0% 0.0% 2
2090s 0.0% 0.0% 0.0% 2
2100s 0.0% 0.0% 0.0% 1

Countries ranked near Tonga

  1. 23 Albania 0.0% compare
  2. 23 Algeria 0.0% compare
  3. 23 Argentina 0.0% compare
  4. 23 Armenia 0.0%
  5. 23 Aruba 0.0% compare
  6. 23 Australia 0.0% compare
  7. 23 Austria 0.0%
  8. 23 Azerbaijan 0.0% compare
  9. 23 Bahamas 0.0% compare
  10. 23 Bahrain 0.0% compare
  11. 23 Belarus 0.0%
  12. 23 Belgium 0.0% compare
  13. 23 Belize 0.0% compare
  14. 23 Bhutan 0.0% compare
  15. 23 Bolivia, Plurinational State of 0.0% compare
  16. 23 Bosnia and Herzegovina 0.0% compare
  17. 23 Brazil 0.0% compare
  18. 23 Bulgaria 0.0% compare
  19. 23 Cape Verde 0.0% compare
  20. 23 Cambodia 0.0% compare
  21. 23 Cameroon 0.0% compare
  22. 23 Canada 0.0% compare
  23. 23 Central African Republic 0.0% compare
  24. 23 Chile 0.0% compare
  25. 23 China 0.0% compare
  26. 23 Colombia 0.0% compare
  27. 23 Comoros 0.0% compare
  28. 23 Congo, Democratic Republic of the 0.0% compare
  29. 23 Congo 0.0% compare
  30. 23 Costa Rica 0.0% compare
  31. 23 Côte d'Ivoire 0.0% compare
  32. 23 Croatia 0.0% compare
  33. 23 Cuba 0.0% compare
  34. 23 Cyprus 0.0%
  35. 23 Czechia 0.0%
  36. 23 Denmark 0.0%
  37. 23 Dominican Republic 0.0% compare
  38. 23 Ecuador 0.0% compare
  39. 23 Egypt 0.0% compare
  40. 23 El Salvador 0.0% compare
  41. 23 Equatorial Guinea 0.0% compare
  42. 23 Estonia 0.0%
  43. 23 Eswatini 0.0% compare
  44. 23 Finland 0.0%
  45. 23 France 0.0% compare
  46. 23 French Polynesia 0.0% compare
  47. 23 Gabon 0.0% compare
  48. 23 Georgia 0.0%
  49. 23 Germany 0.0% compare
  50. 23 Greece 0.0% compare
  51. 23 Guatemala 0.0% compare
  52. 23 Guyana 0.0% compare
  53. 23 Haiti 0.0% compare
  54. 23 Honduras 0.0% compare
  55. 23 Hong Kong, China 0.0% compare
  56. 23 Hungary 0.0%
  57. 23 Iceland 0.0%
  58. 23 India 0.0% compare
  59. 23 Indonesia 0.0% compare
  60. 23 Iran, Islamic Republic of 0.0% compare
  61. 23 Iraq 0.0% compare
  62. 23 Ireland 0.0%
  63. 23 Israel 0.0% compare
  64. 23 Italy 0.0%
  65. 23 Jamaica 0.0%
  66. 23 Japan 0.0%
  67. 23 Jordan 0.0% compare
  68. 23 Kazakhstan 0.0%
  69. 23 Kenya 0.0% compare
  70. 23 Republic of Korea 0.0% compare
  71. 23 Kuwait 0.0% compare
  72. 23 Kyrgyzstan 0.0%
  73. 23 Latvia 0.0%
  74. 23 Lebanon 0.0% compare
  75. 23 Lesotho 0.0% compare
  76. 23 Lithuania 0.0%
  77. 23 Luxembourg 0.0% compare
  78. 23 Macau, China 0.0% compare
  79. 23 Malawi 0.0% compare
  80. 23 Malaysia 0.0% compare
  81. 23 Maldives 0.0% compare
  82. 23 Malta 0.0% compare
  83. 23 Mauritius 0.0% compare
  84. 23 Mexico 0.0% compare
  85. 23 Republic of Moldova 0.0%
  86. 23 Mongolia 0.0% compare
  87. 23 Montenegro 0.0% compare
  88. 23 Morocco 0.0% compare
  89. 23 Myanmar 0.0% compare
  90. 23 Namibia 0.0% compare
  91. 23 Nepal 0.0% compare
  92. 23 Netherlands 0.0% compare
  93. 23 New Caledonia 0.0% compare
  94. 23 New Zealand 0.0%
  95. 23 Nicaragua 0.0% compare
  96. 23 Nigeria 0.0% compare
  97. 23 North Macedonia 0.0% compare
  98. 23 Norway 0.0%
  99. 23 Panama 0.0% compare
  100. 23 Paraguay 0.0% compare
  101. 23 Peru 0.0% compare
  102. 23 Philippines 0.0% compare
  103. 23 Poland 0.0%
  104. 23 Portugal 0.0% compare
  105. 23 Puerto Rico 0.0% compare
  106. 23 Qatar 0.0% compare
  107. 23 Romania 0.0% compare
  108. 23 Russian Federation 0.0%
  109. 23 Samoa 0.0%
  110. 23 Sao Tome and Principe 0.0% compare
  111. 23 Saudi Arabia 0.0% compare
  112. 23 Serbia 0.0% compare
  113. 23 Singapore 0.0% compare
  114. 23 Slovakia 0.0%
  115. 23 Slovenia 0.0%
  116. 23 South Africa 0.0% compare
  117. 23 Spain 0.0% compare
  118. 23 Saint Lucia 0.0% compare
  119. 23 Saint Vincent and the Grenadines 0.0% compare
  120. 23 Suriname 0.0%
  121. 23 Sweden 0.0%
  122. 23 Switzerland 0.0%
  123. 23 Syrian Arab Republic 0.0% compare
  124. 23 Tajikistan 0.0% compare
  125. 23 Tanzania, United Republic of 0.0% compare
  126. 23 Thailand 0.0% compare
  127. 23 Timor-Leste 0.0% compare
  128. 23 Trinidad and Tobago 0.0% compare
  129. 23 Tunisia 0.0% compare
  130. 23 Türkiye 0.0% compare
  131. 23 Turkmenistan 0.0%
  132. 23 Uganda 0.0% compare
  133. 23 Ukraine 0.0%
  134. 23 United Arab Emirates 0.0% compare
  135. 23 United Kingdom of Great Britain and Northern Ireland 0.0% compare
  136. 23 United States of America 0.0% compare
  137. 23 Uruguay 0.0% compare
  138. 23 Vanuatu 0.0% compare
  139. 23 Venezuela, Bolivarian Republic of 0.0% compare
  140. 23 Viet Nam 0.0% compare
  141. 23 Palestine, State of 0.0% compare
  142. 23 Zambia 0.0% compare
  143. 23 Zimbabwe 0.0% compare

See the full ranking of 167 places →

More reference data data for Tonga

All data for Tonga →

Frequently asked questions

What is wittgenstein projection: percentage of the population age 20-64 by in Tonga?
Wittgenstein projection: percentage of the population age 20-64 by in Tonga was 0.0% in 2100, according to Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
What is the highest wittgenstein projection: percentage of the population age 20-64 by recorded in Tonga?
The highest recorded value was 0.0% in 2010.
What is the lowest wittgenstein projection: percentage of the population age 20-64 by recorded in Tonga?
The lowest recorded value was 0.0% in 2025.
How does Tonga rank for wittgenstein projection: percentage of the population age 20-64 by?
Tonga ranks 23rd out of 166 countries with data for 2100.
Where does this Tonga data come from?
The figures come from Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/, published as part of Wittgenstein Projection: Percentage of the population age 20-64 by highest level of educational attainment. No Education. Female. Statizoid updates them automatically from the source API.

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Wittgenstein Projection: Percentage of the population age 20-64 by in Tonga. Statizoid, drawing on Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/. Retrieved 03 September 2026, from https://reference.statizoid.com/stat/wittgenstein-projection-percentage-of-the-population-age-20-64-by-highest-level-of-13/tonga/

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About this data

Indicator
Wittgenstein Projection: Percentage of the population age 20-64 by highest level of educational attainment. No Education. Female
Source
Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
167 places, 3,173 data points, 2010–2100
Last refreshed

Share of the population of the stated age group that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/