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Wittgenstein Projection: Percentage of the population age 60+ by in French Polynesia

French Polynesia: Wittgenstein Projection: Percentage of the population age 60+ by was 0.0% in 2100. ◆ Volatile

Latest (2100)
0.0%
World rank
47th
of 166 countries
All-time high
0.1%
in 2010
All-time low
0.0%
in 2060
Years of data
19
2010–2100

Wittgenstein Projection: Percentage of the population age 60+ by in French Polynesia, 2010–2100

00.0250.050.0750.10.1252010205521002010: 0.122015: 0.12020: 0.082025: 0.072030: 0.052035: 0.042040: 0.032045: 0.022050: 0.012055: 0.012060: 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

The most recent figure for wittgenstein projection: percentage of the population age 60+ by in French Polynesia is 0.0%, measured in 2100. That is the lowest value across all 19 years on record.

Over the whole period, wittgenstein projection: percentage of the population age 60+ by in French Polynesia peaked at 0.1% in 2010 and was at its lowest, 0.0%, in 2060.

French Polynesia ranks 47th of 166 countries on this measure, in the middle of the range.

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

Wittgenstein Projection: Percentage of the population age 60+ by in French Polynesia, year by year

Year Value Change
2010 0.1% —
2015 0.1% -16.7%
2020 0.1% -20.0%
2025 0.1% -12.5%
2030 0.1% -28.6%
2035 0.0% -20.0%
2040 0.0% -25.0%
2045 0.0% -33.3%
2050 0.0% -50.0%
2055 0.0% +0.0%
2060 0.0% -100.0%
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 0.1% 0.1% 0.1% 2
2020s 0.1% 0.1% 0.1% 2
2030s 0.0% 0.0% 0.1% 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 French Polynesia

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  4. 47 Armenia 0.0% compare
  5. 47 Aruba 0.0% compare
  6. 47 Australia 0.0% compare
  7. 47 Austria 0.0%
  8. 47 Azerbaijan 0.0% compare
  9. 47 Bahamas 0.0% compare
  10. 47 Bahrain 0.0% compare
  11. 47 Belarus 0.0% compare
  12. 47 Belgium 0.0%
  13. 47 Bolivia, Plurinational State of 0.0% compare
  14. 47 Bosnia and Herzegovina 0.0% compare
  15. 47 Bulgaria 0.0% compare
  16. 47 Cameroon 0.0% compare
  17. 47 Canada 0.0% compare
  18. 47 Chile 0.0% compare
  19. 47 China 0.0%
  20. 47 Comoros 0.0% compare
  21. 47 Congo, Democratic Republic of the 0.0% compare
  22. 47 Congo 0.0% compare
  23. 47 Costa Rica 0.0% compare
  24. 47 Croatia 0.0% compare
  25. 47 Cuba 0.0% compare
  26. 47 Cyprus 0.0% compare
  27. 47 Czechia 0.0%
  28. 47 Denmark 0.0%
  29. 47 Ecuador 0.0% compare
  30. 47 Egypt 0.0% compare
  31. 47 Equatorial Guinea 0.0% compare
  32. 47 Estonia 0.0%
  33. 47 Eswatini 0.0% compare
  34. 47 Finland 0.0%
  35. 47 France 0.0%
  36. 47 Gabon 0.0% compare
  37. 47 Georgia 0.0% compare
  38. 47 Germany 0.0%
  39. 47 Ghana 0.0% compare
  40. 47 Greece 0.0% compare
  41. 47 Guyana 0.0% compare
  42. 47 Hong Kong, China 0.0% compare
  43. 47 Hungary 0.0% compare
  44. 47 Iceland 0.0%
  45. 47 Indonesia 0.0% compare
  46. 47 Iran, Islamic Republic of 0.0% compare
  47. 47 Iraq 0.0% compare
  48. 47 Ireland 0.0%
  49. 47 Israel 0.0% compare
  50. 47 Italy 0.0% compare
  51. 47 Jamaica 0.0% compare
  52. 47 Japan 0.0% compare
  53. 47 Jordan 0.0% compare
  54. 47 Kazakhstan 0.0% compare
  55. 47 Kenya 0.0% compare
  56. 47 Republic of Korea 0.0% compare
  57. 47 Kuwait 0.0% compare
  58. 47 Kyrgyzstan 0.0% compare
  59. 47 Latvia 0.0%
  60. 47 Lebanon 0.0% compare
  61. 47 Lithuania 0.0% compare
  62. 47 Luxembourg 0.0%
  63. 47 Macau, China 0.0% compare
  64. 47 Malaysia 0.0% compare
  65. 47 Maldives 0.0% compare
  66. 47 Malta 0.0% compare
  67. 47 Mexico 0.0% compare
  68. 47 Republic of Moldova 0.0% compare
  69. 47 Mongolia 0.0% compare
  70. 47 Montenegro 0.0% compare
  71. 47 Myanmar 0.0% compare
  72. 47 Namibia 0.0% compare
  73. 47 Nepal 0.0% compare
  74. 47 Netherlands 0.0%
  75. 47 New Caledonia 0.0% compare
  76. 47 New Zealand 0.0% compare
  77. 47 Nigeria 0.0% compare
  78. 47 North Macedonia 0.0% compare
  79. 47 Norway 0.0%
  80. 47 Panama 0.0% compare
  81. 47 Peru 0.0% compare
  82. 47 Philippines 0.0% compare
  83. 47 Poland 0.0% compare
  84. 47 Portugal 0.0% compare
  85. 47 Puerto Rico 0.0% compare
  86. 47 Romania 0.0% compare
  87. 47 Russian Federation 0.0%
  88. 47 Samoa 0.0% compare
  89. 47 Saudi Arabia 0.0% compare
  90. 47 Serbia 0.0% compare
  91. 47 Singapore 0.0% compare
  92. 47 Slovakia 0.0%
  93. 47 Slovenia 0.0% compare
  94. 47 Somalia 0.0% compare
  95. 47 South Africa 0.0% compare
  96. 47 Spain 0.0% compare
  97. 47 Saint Lucia 0.0% compare
  98. 47 Saint Vincent and the Grenadines 0.0% compare
  99. 47 Suriname 0.0% compare
  100. 47 Sweden 0.0%
  101. 47 Switzerland 0.0%
  102. 47 Tajikistan 0.0%
  103. 47 Tanzania, United Republic of 0.0% compare
  104. 47 Thailand 0.0% compare
  105. 47 Timor-Leste 0.0% compare
  106. 47 Tonga 0.0% compare
  107. 47 Trinidad and Tobago 0.0% compare
  108. 47 Tunisia 0.0% compare
  109. 47 Türkiye 0.0% compare
  110. 47 Turkmenistan 0.0% compare
  111. 47 Ukraine 0.0% compare
  112. 47 United Arab Emirates 0.0% compare
  113. 47 United Kingdom of Great Britain and Northern Ireland 0.0%
  114. 47 United States of America 0.0% compare
  115. 47 Uruguay 0.0% compare
  116. 47 Venezuela, Bolivarian Republic of 0.0% compare
  117. 47 Palestine, State of 0.0% compare
  118. 47 Zambia 0.0% compare
  119. 47 Zimbabwe 0.0% compare

See the full ranking of 167 places →

More reference data data for French Polynesia

All data for French Polynesia →

Frequently asked questions

What is wittgenstein projection: percentage of the population age 60+ by in French Polynesia?
Wittgenstein projection: percentage of the population age 60+ by in French Polynesia 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 60+ by recorded in French Polynesia?
The highest recorded value was 0.1% in 2010.
What is the lowest wittgenstein projection: percentage of the population age 60+ by recorded in French Polynesia?
The lowest recorded value was 0.0% in 2060.
How does French Polynesia rank for wittgenstein projection: percentage of the population age 60+ by?
French Polynesia ranks 47th out of 166 countries with data for 2100.
Where does this French Polynesia 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 60+ by highest level of educational attainment. Incomplete Primary. Male. Statizoid updates them automatically from the source API.

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Wittgenstein Projection: Percentage of the population age 60+ by in French Polynesia. Statizoid, drawing on Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/. Retrieved 02 September 2026, from https://reference.statizoid.com/stat/wittgenstein-projection-percentage-of-the-population-age-60-by-highest-level-of-17/french-polynesia/

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About this data

Indicator
Wittgenstein Projection: Percentage of the population age 60+ by highest level of educational attainment. Incomplete Primary. Male
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 pre-primary education or incomplete primary education as the highest level of educational attainment. 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/