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Wittgenstein Projection: Percentage of the population age 20-39 by in French Polynesia

French Polynesia: Wittgenstein Projection: Percentage of the population age 20-39 by was 0.0% in 2100. ◆ Volatile

Latest (2100)
0.0%
World rank
87th
of 166 countries
All-time high
0.0%
in 2010
All-time low
0.0%
in 2070
Years of data
19
2010–2100

Wittgenstein Projection: Percentage of the population age 20-39 by in French Polynesia, 2010–2100

00.010.020.030.042010205521002010: 0.042015: 0.032020: 0.032025: 0.022030: 0.022035: 0.022040: 0.012045: 0.012050: 0.012055: 0.012060: 0.012065: 0.012070: 02075: 02080: 02085: 02090: 02095: 02100: 0

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

Analysis

In 2100, wittgenstein projection: percentage of the population age 20-39 by in French Polynesia stood at 0.0%. That is the lowest value across all 19 years on record.

Over the whole period, wittgenstein projection: percentage of the population age 20-39 by in French Polynesia peaked at 0.0% in 2010 and was at its lowest, 0.0%, in 2070.

That places French Polynesia 87th out of 166 countries with data for 2100, putting it 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 20-39 by in French Polynesia, year by year

Year Value Change
2010 0.0% —
2015 0.0% -25.0%
2020 0.0% +0.0%
2025 0.0% -33.3%
2030 0.0% +0.0%
2035 0.0% +0.0%
2040 0.0% -50.0%
2045 0.0% +0.0%
2050 0.0% +0.0%
2055 0.0% +0.0%
2060 0.0% +0.0%
2065 0.0% +0.0%
2070 0.0% -100.0%
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 French Polynesia

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  7. 87 Belarus 0.0%
  8. 87 Belgium 0.0% compare
  9. 87 Bolivia, Plurinational State of 0.0% compare
  10. 87 Bosnia and Herzegovina 0.0% compare
  11. 87 Bulgaria 0.0% compare
  12. 87 Canada 0.0% compare
  13. 87 Chile 0.0% compare
  14. 87 Colombia 0.0% compare
  15. 87 Croatia 0.0% compare
  16. 87 Cuba 0.0% compare
  17. 87 Cyprus 0.0% compare
  18. 87 Czechia 0.0%
  19. 87 Denmark 0.0%
  20. 87 Dominican Republic 0.0% compare
  21. 87 Egypt 0.0% compare
  22. 87 Estonia 0.0%
  23. 87 Finland 0.0%
  24. 87 France 0.0% compare
  25. 87 Georgia 0.0% compare
  26. 87 Germany 0.0% compare
  27. 87 Greece 0.0% compare
  28. 87 Hong Kong, China 0.0% compare
  29. 87 Hungary 0.0% compare
  30. 87 Indonesia 0.0% compare
  31. 87 Iran, Islamic Republic of 0.0% compare
  32. 87 Ireland 0.0% compare
  33. 87 Italy 0.0% compare
  34. 87 Japan 0.0% compare
  35. 87 Jordan 0.0% compare
  36. 87 Kazakhstan 0.0%
  37. 87 Kenya 0.0% compare
  38. 87 Republic of Korea 0.0%
  39. 87 Kyrgyzstan 0.0%
  40. 87 Latvia 0.0%
  41. 87 Lebanon 0.0% compare
  42. 87 Lithuania 0.0%
  43. 87 Luxembourg 0.0% compare
  44. 87 Macau, China 0.0% compare
  45. 87 Malaysia 0.0% compare
  46. 87 Malta 0.0% compare
  47. 87 Republic of Moldova 0.0% compare
  48. 87 Mongolia 0.0% compare
  49. 87 Montenegro 0.0% compare
  50. 87 Nepal 0.0% compare
  51. 87 Netherlands 0.0% compare
  52. 87 New Caledonia 0.0% compare
  53. 87 New Zealand 0.0% compare
  54. 87 Nigeria 0.0% compare
  55. 87 North Macedonia 0.0% compare
  56. 87 Norway 0.0%
  57. 87 Peru 0.0% compare
  58. 87 Philippines 0.0% compare
  59. 87 Poland 0.0%
  60. 87 Puerto Rico 0.0% compare
  61. 87 Romania 0.0% compare
  62. 87 Russian Federation 0.0%
  63. 87 Saudi Arabia 0.0% compare
  64. 87 Serbia 0.0% compare
  65. 87 Singapore 0.0% compare
  66. 87 Slovakia 0.0%
  67. 87 Slovenia 0.0%
  68. 87 South Africa 0.0% compare
  69. 87 Spain 0.0% compare
  70. 87 Sweden 0.0% compare
  71. 87 Switzerland 0.0% compare
  72. 87 Tajikistan 0.0% compare
  73. 87 Timor-Leste 0.0% compare
  74. 87 Tunisia 0.0% compare
  75. 87 Turkmenistan 0.0%
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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 20-39 by in French Polynesia?
Wittgenstein projection: percentage of the population age 20-39 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 20-39 by recorded in French Polynesia?
The highest recorded value was 0.0% in 2010.
What is the lowest wittgenstein projection: percentage of the population age 20-39 by recorded in French Polynesia?
The lowest recorded value was 0.0% in 2070.
How does French Polynesia rank for wittgenstein projection: percentage of the population age 20-39 by?
French Polynesia ranks 87th 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 20-39 by highest level of educational attainment. Primary. Female. Statizoid updates them automatically from the source API.

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Wittgenstein Projection: Percentage of the population age 20-39 by in French Polynesia. Statizoid, drawing on Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/. Retrieved 27 August 2026, from https://reference.statizoid.com/stat/wittgenstein-projection-percentage-of-the-population-age-20-39-by-highest-level-of/french-polynesia/

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About this data

Indicator
Wittgenstein Projection: Percentage of the population age 20-39 by highest level of educational attainment. Primary. 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 completed primary education or incomplete lower secondary 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/