Statizoid

Wittgenstein Projection: Percentage of the population age 25-29 by in Namibia

Namibia: Wittgenstein Projection: Percentage of the population age 25-29 by was 0.0% in 2100. ◆ Volatile

Latest (2100)
0.0%
World rank
11th
of 166 countries
All-time high
0.0%
in 2010
All-time low
0.0%
in 2040
Years of data
19
2010–2100

Wittgenstein Projection: Percentage of the population age 25-29 by in Namibia, 2010–2100

00.010.020.030.042010205521002010: 0.042015: 0.032020: 0.022025: 0.022030: 0.012035: 0.012040: 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

Namibia recorded 0.0% for wittgenstein projection: percentage of the population age 25-29 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 25-29 by in Namibia peaked at 0.0% in 2010 and was at its lowest, 0.0%, in 2040.

Namibia ranks 11th of 166 countries on this measure, in the top 10%.

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

Wittgenstein Projection: Percentage of the population age 25-29 by in Namibia, year by year

Year Value Change
2010 0.0% —
2015 0.0% -25.0%
2020 0.0% -33.3%
2025 0.0% +0.0%
2030 0.0% -50.0%
2035 0.0% +0.0%
2040 0.0% -100.0%
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 Namibia

  1. 11 Albania 0.0% compare
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  4. 11 Armenia 0.0%
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  6. 11 Australia 0.0%
  7. 11 Austria 0.0%
  8. 11 Azerbaijan 0.0%
  9. 11 Bahamas 0.0%
  10. 11 Bahrain 0.0% compare
  11. 11 Bangladesh 0.0% compare
  12. 11 Belarus 0.0%
  13. 11 Belgium 0.0%
  14. 11 Belize 0.0% compare
  15. 11 Bhutan 0.0% compare
  16. 11 Bolivia 0.0% compare
  17. 11 Bosnia and Herzegovina 0.0% compare
  18. 11 Brazil 0.0% compare
  19. 11 Bulgaria 0.0%
  20. 11 Burundi 0.0% compare
  21. 11 Cape Verde 0.0% compare
  22. 11 Cambodia 0.0% compare
  23. 11 Cameroon 0.0% compare
  24. 11 Canada 0.0%
  25. 11 Central African Republic 0.0% compare
  26. 11 Chile 0.0% compare
  27. 11 China 0.0% compare
  28. 11 Colombia 0.0% compare
  29. 11 Comoros 0.0% compare
  30. 11 Democratic Republic of Congo 0.0% compare
  31. 11 Congo 0.0% compare
  32. 11 Costa Rica 0.0% compare
  33. 11 Cote d'Ivoire 0.0% compare
  34. 11 Croatia 0.0%
  35. 11 Cuba 0.0%
  36. 11 Cyprus 0.0%
  37. 11 Czechia 0.0%
  38. 11 Denmark 0.0%
  39. 11 Dominican Republic 0.0%
  40. 11 Ecuador 0.0% compare
  41. 11 Egypt 0.0% compare
  42. 11 El Salvador 0.0% compare
  43. 11 Equatorial Guinea 0.0% compare
  44. 11 Estonia 0.0%
  45. 11 Eswatini 0.0% compare
  46. 11 Ethiopia 0.0% compare
  47. 11 Finland 0.0%
  48. 11 France 0.0% compare
  49. 11 French Polynesia 0.0% compare
  50. 11 Gabon 0.0% compare
  51. 11 Gambia 0.0% compare
  52. 11 Georgia 0.0%
  53. 11 Germany 0.0% compare
  54. 11 Ghana 0.0% compare
  55. 11 Greece 0.0%
  56. 11 Guatemala 0.0% compare
  57. 11 Guinea-Bissau 0.0% compare
  58. 11 Guyana 0.0% compare
  59. 11 Haiti 0.0% compare
  60. 11 Honduras 0.0% compare
  61. 11 Hong Kong 0.0%
  62. 11 Hungary 0.0%
  63. 11 Iceland 0.0%
  64. 11 India 0.0% compare
  65. 11 Indonesia 0.0% compare
  66. 11 Iran 0.0% compare
  67. 11 Iraq 0.0% compare
  68. 11 Ireland 0.0%
  69. 11 Israel 0.0% compare
  70. 11 Italy 0.0%
  71. 11 Jamaica 0.0%
  72. 11 Japan 0.0%
  73. 11 Jordan 0.0% compare
  74. 11 Kazakhstan 0.0%
  75. 11 Kenya 0.0% compare
  76. 11 South Korea 0.0%
  77. 11 Kuwait 0.0% compare
  78. 11 Kyrgyzstan 0.0%
  79. 11 Laos 0.0% compare
  80. 11 Latvia 0.0%
  81. 11 Lebanon 0.0% compare
  82. 11 Lesotho 0.0% compare
  83. 11 Lithuania 0.0%
  84. 11 Luxembourg 0.0% compare
  85. 11 Macao 0.0%
  86. 11 Madagascar 0.0% compare
  87. 11 Malawi 0.0% compare
  88. 11 Malaysia 0.0% compare
  89. 11 Maldives 0.0% compare
  90. 11 Malta 0.0%
  91. 11 Mauritius 0.0% compare
  92. 11 Mexico 0.0% compare
  93. 11 Moldova 0.0%
  94. 11 Mongolia 0.0% compare
  95. 11 Montenegro 0.0% compare
  96. 11 Morocco 0.0% compare
  97. 11 Myanmar 0.0% compare
  98. 11 Nepal 0.0% compare
  99. 11 Netherlands 0.0% compare
  100. 11 New Caledonia 0.0% compare
  101. 11 New Zealand 0.0%
  102. 11 Nicaragua 0.0% compare
  103. 11 Nigeria 0.0% compare
  104. 11 North Macedonia 0.0% compare
  105. 11 Norway 0.0%
  106. 11 Pakistan 0.0% compare
  107. 11 Panama 0.0% compare
  108. 11 Paraguay 0.0% compare
  109. 11 Peru 0.0% compare
  110. 11 Philippines 0.0% compare
  111. 11 Poland 0.0%
  112. 11 Portugal 0.0%
  113. 11 Puerto Rico 0.0%
  114. 11 Qatar 0.0% compare
  115. 11 Romania 0.0% compare
  116. 11 Russia 0.0%
  117. 11 Rwanda 0.0% compare
  118. 11 Samoa 0.0%
  119. 11 Sao Tome and Principe 0.0% compare
  120. 11 Saudi Arabia 0.0% compare
  121. 11 Serbia 0.0%
  122. 11 Singapore 0.0%
  123. 11 Slovakia 0.0%
  124. 11 Slovenia 0.0%
  125. 11 Somalia 0.0% compare
  126. 11 South Africa 0.0% compare
  127. 11 Spain 0.0%
  128. 11 Saint Lucia 0.0%
  129. 11 Saint Vincent and the Grenadines 0.0%
  130. 11 Sudan 0.0% compare
  131. 11 Suriname 0.0%
  132. 11 Sweden 0.0%
  133. 11 Switzerland 0.0%
  134. 11 Syria 0.0% compare
  135. 11 Tajikistan 0.0% compare
  136. 11 Tanzania 0.0% compare
  137. 11 Thailand 0.0% compare
  138. 11 East Timor 0.0% compare
  139. 11 Tonga 0.0%
  140. 11 Trinidad and Tobago 0.0%
  141. 11 Tunisia 0.0% compare
  142. 11 Turkey 0.0% compare
  143. 11 Turkmenistan 0.0%
  144. 11 Uganda 0.0% compare
  145. 11 Ukraine 0.0%
  146. 11 United Arab Emirates 0.0% compare
  147. 11 United Kingdom 0.0%
  148. 11 United States 0.0%
  149. 11 Uruguay 0.0%
  150. 11 Vanuatu 0.0% compare
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See the full ranking of 167 places →

More reference data data for Namibia

All data for Namibia →

Frequently asked questions

What is wittgenstein projection: percentage of the population age 25-29 by in Namibia?
Wittgenstein projection: percentage of the population age 25-29 by in Namibia 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 25-29 by recorded in Namibia?
The highest recorded value was 0.0% in 2010.
What is the lowest wittgenstein projection: percentage of the population age 25-29 by recorded in Namibia?
The lowest recorded value was 0.0% in 2040.
How does Namibia rank for wittgenstein projection: percentage of the population age 25-29 by?
Namibia ranks 11th out of 166 countries with data for 2100.
Where does this Namibia 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 25-29 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 25-29 by in Namibia. Statizoid, drawing on Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/. Retrieved 01 September 2026, from https://reference.statizoid.com/stat/wittgenstein-projection-percentage-of-the-population-age-25-29-by-highest-level-of-13/namibia/

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About this data

Indicator
Wittgenstein Projection: Percentage of the population age 25-29 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/