Statizoid

Wittgenstein Projection: Population age 20-24 in thousands by highest level of educational attainment. Primary. Male by country

Total population in thousands in the specified 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...

Countries reporting
164
Highest
878.51
Tanzania
Lowest
0
Ukraine
Median
0.545
Years covered
91
2010–2100
Data points
3,173

What the numbers show

Wittgenstein Projection: Population age 20-24 in thousands by highest level of educational attainment. Primary. Male is currently reported for 164 countries. The highest value is 878.51 in Tanzania; the lowest is 0 in Ukraine.

The median across all reporting countries is 0.545, and the mean is 38.92.

Wittgenstein Projection: Population age 20-24 in thousands by highest: full country ranking

#Country LatestYear 10-year changeTrend
1 Tanzania 878.51 2100 down 25.1% falling
2 Niger 831.96 2100 down 18.4% rising
3 Uganda 676.88 2100 down 31.9% rising
4 Ethiopia 554.86 2100 down 36.8% falling
5 Madagascar 401.67 2100 down 23.4% rising
6 India 338.74 2100 down 51.2% volatile
7 Burkina Faso 278.37 2100 down 20.7% rising
8 Sudan 251.83 2100 down 15.7% falling
9 Bangladesh 197.42 2100 down 35.8% volatile
10 Iraq 180.88 2100 down 17.7% falling
11 Pakistan 140.72 2100 down 44.4% falling
12 Mali 132.78 2100 down 26.9% rising
13 Chad 130.16 2100 down 26.8% rising
14 Rwanda 125.35 2100 down 29.6% falling
15 Senegal 100.86 2100 down 34.3% falling
16 Mozambique 100.43 2100 down 30.0% rising
17 Burundi 93.59 2100 down 30.3% falling
18 Benin 76.98 2100 down 31.3% falling
19 Democratic Republic of Congo 65.04 2100 down 46.4% volatile
20 Malawi 60.7 2100 down 42.1% falling
21 Vietnam 60.14 2100 down 36.6% volatile
22 Somalia 55.58 2100 down 30.6% falling
23 Myanmar 47.54 2100 down 37.0% volatile
24 China 46.61 2100 down 49.8% volatile
25 Zambia 39.02 2100 down 43.5% falling
26 Liberia 38.95 2100 down 31.4% rising
27 Guatemala 33.53 2100 down 42.6% falling
28 Cote d'Ivoire 33.5 2100 down 44.0% falling
29 Cambodia 32.98 2100 down 38.4% falling
30 Ghana 31.85 2100 down 41.0% falling
31 Sierra Leone 29.83 2100 down 34.5% falling
32 Syria 29.24 2100 down 38.9% volatile
33 Cameroon 28.25 2100 down 48.3% volatile
34 Guinea 27.34 2100 down 36.2% falling
35 Philippines 24.18 2100 down 25.4% volatile
37 Brazil 17.91 2100 down 51.5% volatile
38 Honduras 16.72 2100 down 40.3% volatile
39 Mexico 16.12 2100 down 49.2% volatile
40 Laos 11.42 2100 down 34.1% falling
41 Venezuela 9.33 2100 down 46.1% volatile
42 Congo 9.13 2100 down 45.7% volatile
43 Nigeria 8.92 2100 down 78.4% volatile
44 Morocco 7.63 2100 down 47.3% volatile
45 Indonesia 7.18 2100 down 59.6% volatile
46 Zimbabwe 7.12 2100 down 15.0% volatile
47 United Kingdom 6.31 2100 down 45.9% volatile
48 Turkey 5.57 2100 down 60.7% volatile
50 Argentina 5.01 2100 down 52.6% volatile
51 Thailand 4.59 2100 down 52.1% volatile
52 United Arab Emirates 4.48 2100 down 41.7% volatile
53 Azerbaijan 4.09 2100 down 22.5% volatile
54 Nicaragua 4.03 2100 down 41.8% volatile
55 Israel 4.02 2100 down 39.5% volatile
56 Paraguay 3.93 2100 down 45.9% volatile
57 Gambia 3.79 2100 down 41.7% falling
58 Eswatini 3.45 2100 down 15.4% volatile
59 Comoros 3.19 2100 down 31.7% falling
60 Colombia 2.75 2100 down 56.1% volatile
61 Lesotho 2.68 2100 down 44.4% volatile
62 Qatar 2.4 2100 down 40.7% volatile
63 Uruguay 2.33 2100 down 36.7% volatile
64 Costa Rica 2.19 2100 down 46.8% volatile
65 Guinea-Bissau 2.1 2100 down 45.2% falling
66 Nepal 2.07 2100 down 66.0% volatile
67 Portugal 1.76 2100 down 44.8% volatile
68 Gabon 1.55 2100 down 48.8% volatile
69 Haiti 1.36 2100 down 56.8% volatile
70 Kuwait 1.34 2100 down 38.2% volatile
71 Mauritius 1.32 2100 down 37.7% volatile
72 Ecuador 1.3 2100 down 53.1% volatile
73 United States 1.25 2100 down 73.1% volatile
74 Iran 1.21 2100 down 59.4% volatile
75 Belize 1.01 2100 down 36.9% falling
76 Sao Tome and Principe 0.97 2100 down 29.2% falling
77 East Timor 0.95 2100 down 13.6% volatile
78 Cape Verde 0.89 2100 down 38.2% volatile
79 Dominican Republic 0.87 2100 down 47.6% volatile
80 Bolivia 0.85 2100 down 57.7% volatile
81 Kenya 0.71 2100 down 69.5% volatile
81 El Salvador 0.71 2100 down 50.7% volatile
83 Equatorial Guinea 0.58 2100 down 50.4% falling
84 Spain 0.57 2100 down 53.3% volatile
85 Germany 0.52 2100 down 57.4% volatile
86 Vanuatu 0.51 2100 down 42.0% falling
87 Jordan 0.45 2100 down 54.1% volatile
88 Jamaica 0.44 2100 down 38.9% volatile
89 Algeria 0.37 2100 down 59.3% volatile
90 Panama 0.36 2100 down 56.1% volatile
91 Iceland 0.35 2100 down 23.9% volatile
92 Namibia 0.34 2100 down 50.0% volatile
93 Lithuania 0.32 2100 down 3.0% volatile
94 Suriname 0.3 2100 down 40.0% volatile
95 Bahrain 0.28 2100 down 47.2% volatile
96 Maldives 0.26 2100 down 38.1% volatile
97 Chile 0.22 2100 down 59.3% volatile
98 Bahamas 0.2 2100 down 35.5% volatile
99 Bhutan 0.17 2100 down 43.3% volatile
99 Mongolia 0.17 2100 down 50.0% volatile
101 Lebanon 0.16 2100 down 51.5% volatile
102 Netherlands 0.15 2100 down 61.5% volatile
103 Peru 0.12 2100 down 76.9% volatile
104 Trinidad and Tobago 0.1 2100 down 47.4% volatile
105 Palestine 0.09 2100 down 64.0% volatile
106 Italy 0.08 2100 down 63.6% volatile
107 Samoa 0.07 2100 down 41.7% volatile
108 Tunisia 0.05 2100 down 54.5% volatile
109 Cuba 0.04 2100 down 60.0% volatile
109 Guyana 0.04 2100 down 50.0% volatile
109 Luxembourg 0.04 2100 down 50.0% volatile
109 Saint Vincent and the Grenadines 0.04 2100 down 42.9% volatile
113 Albania 0.03 2100 down 57.1% volatile
113 Saint Lucia 0.03 2100 down 50.0% volatile
115 Aruba 0.02 2100 down 50.0% volatile
116 Switzerland 0.01 2100 down 66.7% volatile
116 Finland 0.01 2100 down 50.0% volatile
116 Macao 0.01 2100 down 50.0% volatile
116 Tonga 0.01 2100 down 50.0% volatile
120 Armenia 0 2100 — volatile
120 Australia 0 2100 down 100.0% volatile
120 Austria 0 2100 down 100.0% volatile
120 Belgium 0 2100 — volatile
120 Bulgaria 0 2100 — volatile
120 Bosnia and Herzegovina 0 2100 — volatile
120 Belarus 0 2100 — volatile
120 Canada 0 2100 — volatile
120 Cyprus 0 2100 — volatile
120 Czechia 0 2100 — volatile
120 Denmark 0 2100 — volatile
120 Egypt 0 2100 down 100.0% volatile
120 Estonia 0 2100 — volatile
120 France 0 2100 — volatile
120 Georgia 0 2100 — volatile
120 Greece 0 2100 — volatile
120 Hong Kong 0 2100 — volatile
120 Croatia 0 2100 — volatile
120 Hungary 0 2100 — volatile
120 Ireland 0 2100 — volatile
120 Japan 0 2100 — volatile
120 Kazakhstan 0 2100 — volatile
120 Kyrgyzstan 0 2100 — volatile
120 South Korea 0 2100 — volatile
120 Latvia 0 2100 — volatile
120 Moldova 0 2100 — volatile
120 North Macedonia 0 2100 — volatile
120 Malta 0 2100 — volatile
120 Montenegro 0 2100 — volatile
120 Malaysia 0 2100 — volatile
120 New Caledonia 0 2100 — volatile
120 Norway 0 2100 — volatile
120 New Zealand 0 2100 down 100.0% volatile
120 Poland 0 2100 — volatile
120 Puerto Rico 0 2100 — volatile
120 French Polynesia 0 2100 down 100.0% volatile
120 Romania 0 2100 — volatile
120 Russia 0 2100 — volatile
120 Saudi Arabia 0 2100 down 100.0% volatile
120 Singapore 0 2100 — volatile
120 Serbia 0 2100 — volatile
120 Slovakia 0 2100 — volatile
120 Slovenia 0 2100 — volatile
120 Sweden 0 2100 — volatile
120 Tajikistan 0 2100 — volatile
120 Turkmenistan 0 2100 — volatile
120 Ukraine 0 2100 — volatile

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

About this data

Indicator
Wittgenstein Projection: Population age 20-24 in thousands by highest level of educational attainment. 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

Total population in thousands in the specified 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/