Statizoid

Wittgenstein Projection: Population age 25-29 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
1,124
Tanzania
Lowest
0
Zimbabwe
Median
0.565
Years covered
91
2010–2100
Data points
3,173

What the numbers show

Wittgenstein Projection: Population age 25-29 in thousands by highest level of educational attainment. Primary. Male is currently reported for 164 countries. The highest value is 1,124 in Tanzania; the lowest is 0 in Zimbabwe.

The median across all reporting countries is 0.565, and the mean is 43.48.

Wittgenstein Projection: Population age 25-29 in thousands by highest: full country ranking

#Country LatestYear 10-year changeTrend
1 Tanzania 1,124 2100 down 23.3% falling
2 Niger 931.71 2100 down 12.8% volatile
3 Uganda 776.36 2100 down 30.0% rising
4 Ethiopia 651.92 2100 down 33.9% falling
5 India 491.74 2100 down 48.0% volatile
6 Madagascar 489.15 2100 down 19.6% rising
7 Bangladesh 248.82 2100 down 33.3% falling
8 Pakistan 192.09 2100 down 41.4% falling
9 Mali 155.72 2100 down 22.6% rising
10 Burkina Faso 153.84 2100 down 26.4% rising
11 Senegal 138.8 2100 down 31.5% rising
12 Chad 131.42 2100 down 23.3% rising
13 Rwanda 127.61 2100 down 33.9% falling
14 Mozambique 127.31 2100 down 28.0% rising
15 Burundi 112.9 2100 down 26.4% rising
16 Benin 94.14 2100 down 28.1% rising
17 Democratic Republic of Congo 81.2 2100 down 44.9% falling
18 Malawi 77.16 2100 down 39.4% flat
19 Vietnam 76.14 2100 down 34.3% volatile
20 China 67.93 2100 down 48.9% volatile
21 Zambia 63.49 2100 down 40.2% falling
22 Myanmar 60.67 2100 down 35.8% volatile
23 Ghana 56.49 2100 down 37.6% falling
24 Liberia 50.07 2100 down 27.7% rising
25 Cote d'Ivoire 47.62 2100 down 42.1% falling
26 Guatemala 44.06 2100 down 39.2% falling
27 Cambodia 41.83 2100 down 33.9% falling
28 Cameroon 41.57 2100 down 44.8% volatile
29 Guinea 41.37 2100 down 32.0% falling
30 Somalia 39.61 2100 down 38.3% falling
31 Syria 37.67 2100 down 37.7% volatile
32 Sierra Leone 37.19 2100 down 31.4% rising
33 Sudan 28.64 2100 down 42.4% falling
34 Mexico 24.75 2100 down 46.1% volatile
35 Brazil 23.82 2100 down 50.1% volatile
36 Nigeria 21.85 2100 down 69.7% volatile
37 Honduras 21.48 2100 down 39.7% volatile
39 Laos 14.21 2100 down 34.1% falling
40 Morocco 12.88 2100 down 46.9% volatile
41 Venezuela 12.68 2100 down 46.3% volatile
42 Congo 12.53 2100 down 42.4% falling
43 Indonesia 10.88 2100 down 59.9% volatile
44 Iraq 9.23 2100 down 57.9% volatile
44 Turkey 9.23 2100 down 58.1% volatile
46 United Kingdom 8.62 2100 down 44.4% volatile
48 Argentina 7.13 2100 down 50.8% volatile
49 Thailand 6.62 2100 down 52.2% volatile
50 United Arab Emirates 5.93 2100 down 40.8% volatile
51 Paraguay 5.83 2100 down 44.3% volatile
52 Israel 5.3 2100 down 37.8% volatile
53 Nicaragua 5.24 2100 down 38.8% volatile
54 Gambia 4.99 2100 down 37.8% falling
55 Colombia 4.38 2100 down 54.4% volatile
56 Lesotho 4.14 2100 down 41.4% volatile
57 Philippines 3.87 2100 down 60.9% volatile
58 Nepal 3.69 2100 down 61.8% volatile
59 Qatar 3.56 2100 down 38.8% volatile
60 Costa Rica 3.13 2100 down 47.0% volatile
61 Uruguay 3 2100 down 34.9% volatile
62 Guinea-Bissau 2.94 2100 down 41.7% falling
63 United States 2.93 2100 down 63.4% volatile
64 Portugal 2.4 2100 down 43.1% volatile
65 Comoros 2.22 2100 down 43.5% falling
66 Gabon 2.16 2100 down 47.4% volatile
66 Iran 2.16 2100 down 57.3% volatile
68 Ecuador 2.14 2100 down 52.1% volatile
69 Mauritius 1.74 2100 down 36.7% volatile
70 Kuwait 1.73 2100 down 35.4% volatile
71 Haiti 1.64 2100 down 55.7% volatile
72 Bolivia 1.47 2100 down 54.1% volatile
73 Sao Tome and Principe 1.42 2100 down 26.4% falling
74 Belize 1.32 2100 down 35.0% falling
75 Dominican Republic 1.25 2100 down 45.9% volatile
76 Azerbaijan 1.18 2100 down 17.5% volatile
77 Kenya 1.16 2100 down 66.2% volatile
78 Cape Verde 1.14 2100 down 36.0% falling
79 El Salvador 0.99 2100 down 49.5% volatile
80 Jordan 0.92 2100 down 52.1% volatile
81 Equatorial Guinea 0.86 2100 down 48.2% falling
82 Spain 0.85 2100 down 50.0% volatile
83 Vanuatu 0.72 2100 down 40.0% falling
84 Jamaica 0.58 2100 down 36.3% volatile
85 Algeria 0.55 2100 down 55.3% volatile
86 Germany 0.54 2100 down 54.2% volatile
86 Panama 0.54 2100 down 53.8% volatile
88 Bahrain 0.46 2100 down 44.6% volatile
89 Suriname 0.39 2100 down 39.1% volatile
90 Chile 0.36 2100 down 56.1% volatile
90 Maldives 0.36 2100 down 36.8% volatile
90 Namibia 0.36 2100 down 52.0% volatile
93 Peru 0.29 2100 down 71.3% volatile
94 Bahamas 0.25 2100 down 34.2% volatile
94 Iceland 0.25 2100 down 32.4% volatile
96 Bhutan 0.23 2100 down 41.0% falling
96 Lebanon 0.23 2100 down 51.1% volatile
98 Netherlands 0.18 2100 down 56.1% volatile
99 Palestine 0.16 2100 down 61.9% volatile
100 Italy 0.14 2100 down 58.8% volatile
100 Trinidad and Tobago 0.14 2100 down 44.0% volatile
102 Mongolia 0.12 2100 down 47.8% volatile
103 Samoa 0.1 2100 down 37.5% volatile
104 Tunisia 0.09 2100 down 59.1% volatile
105 Cuba 0.07 2100 down 56.2% volatile
106 Guyana 0.06 2100 down 45.5% volatile
107 Saint Lucia 0.05 2100 down 44.4% volatile
107 Luxembourg 0.05 2100 down 50.0% volatile
107 Saint Vincent and the Grenadines 0.05 2100 down 44.4% volatile
110 Eswatini 0.04 2100 down 71.4% volatile
111 Aruba 0.03 2100 down 40.0% volatile
112 Albania 0.02 2100 down 33.3% volatile
112 East Timor 0.02 2100 down 81.8% volatile
114 Switzerland 0.01 2100 down 80.0% volatile
114 Finland 0.01 2100 down 66.7% volatile
114 Macao 0.01 2100 down 66.7% volatile
114 French Polynesia 0.01 2100 unchanged volatile
114 Tonga 0.01 2100 down 50.0% volatile
119 Armenia 0 2100 — volatile
119 Australia 0 2100 down 100.0% volatile
119 Austria 0 2100 down 100.0% volatile
119 Belgium 0 2100 — volatile
119 Bulgaria 0 2100 — volatile
119 Bosnia and Herzegovina 0 2100 — volatile
119 Belarus 0 2100 — volatile
119 Canada 0 2100 — volatile
119 Cyprus 0 2100 — volatile
119 Czechia 0 2100 — volatile
119 Denmark 0 2100 — volatile
119 Egypt 0 2100 down 100.0% volatile
119 Estonia 0 2100 — volatile
119 France 0 2100 — volatile
119 Georgia 0 2100 — volatile
119 Greece 0 2100 — volatile
119 Hong Kong 0 2100 — volatile
119 Croatia 0 2100 — volatile
119 Hungary 0 2100 — volatile
119 Ireland 0 2100 — volatile
119 Japan 0 2100 — volatile
119 Kazakhstan 0 2100 — volatile
119 Kyrgyzstan 0 2100 — volatile
119 South Korea 0 2100 — volatile
119 Lithuania 0 2100 — volatile
119 Latvia 0 2100 — volatile
119 Moldova 0 2100 down 100.0% volatile
119 North Macedonia 0 2100 down 100.0% volatile
119 Malta 0 2100 — volatile
119 Montenegro 0 2100 — volatile
119 Malaysia 0 2100 down 100.0% volatile
119 New Caledonia 0 2100 — volatile
119 Norway 0 2100 down 100.0% volatile
119 New Zealand 0 2100 down 100.0% volatile
119 Poland 0 2100 — volatile
119 Puerto Rico 0 2100 — volatile
119 Romania 0 2100 — volatile
119 Russia 0 2100 — volatile
119 Saudi Arabia 0 2100 down 100.0% volatile
119 Singapore 0 2100 — volatile
119 Serbia 0 2100 — volatile
119 Slovakia 0 2100 — volatile
119 Slovenia 0 2100 — volatile
119 Sweden 0 2100 — volatile
119 Tajikistan 0 2100 — volatile
119 Turkmenistan 0 2100 — volatile
119 Ukraine 0 2100 — volatile
119 Zimbabwe 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 25-29 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/