Wittgenstein Projection: Percentage of the total population by in Democratic Republic of Congo
Democratic Republic of Congo: Wittgenstein Projection: Percentage of the total population by was 0.0% in 2100. ◆ Volatile
Latest (2100)
0.0%
World rank
36th
of 166 countries
All-time high
0.1%
in 2010
All-time low
0.0%
in 2075
Years of data
19
2010–2100
Wittgenstein Projection: Percentage of the total population by in Democratic Republic of Congo, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
Democratic Republic of Congo recorded 0.0% for wittgenstein projection: percentage of the total population by in 2100. That is the lowest value across all 19 years on record.
Over the whole period, wittgenstein projection: percentage of the total population by in Democratic Republic of Congo peaked at 0.1% in 2010 and was at its lowest, 0.0%, in 2075.
That places Democratic Republic of Congo 36th out of 166 countries with data for 2100, putting it in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Wittgenstein Projection: Percentage of the total population by in Democratic Republic of Congo, year by year
| Year | Value | Change |
|---|---|---|
| 2010 | 0.1% | — |
| 2015 | 0.1% | -23.1% |
| 2020 | 0.1% | -20.0% |
| 2025 | 0.1% | -25.0% |
| 2030 | 0.1% | -16.7% |
| 2035 | 0.0% | -20.0% |
| 2040 | 0.0% | -25.0% |
| 2045 | 0.0% | -33.3% |
| 2050 | 0.0% | +0.0% |
| 2055 | 0.0% | -50.0% |
| 2060 | 0.0% | +0.0% |
| 2065 | 0.0% | +0.0% |
| 2070 | 0.0% | +0.0% |
| 2075 | 0.0% | -100.0% |
| 2080 | 0.0% | — |
| 2085 | 0.0% | — |
| 2090 | 0.0% | — |
| 2095 | 0.0% | — |
| 2100 | 0.0% | — |
Averages by decade
| Decade | Average | Lowest | Highest | 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 Democratic Republic of Congo
- 36 Albania 0.0% compare
- 36 Algeria 0.0% compare
- 36 Argentina 0.0% compare
- 36 Armenia 0.0% compare
- 36 Aruba 0.0% compare
- 36 Australia 0.0% compare
- 36 Austria 0.0%
- 36 Azerbaijan 0.0% compare
- 36 Bahamas 0.0% compare
- 36 Bahrain 0.0% compare
- 36 Belarus 0.0%
- 36 Belgium 0.0% compare
- 36 Belize 0.0% compare
- 36 Bolivia 0.0% compare
- 36 Bosnia and Herzegovina 0.0% compare
- 36 Brazil 0.0% compare
- 36 Bulgaria 0.0% compare
- 36 Cameroon 0.0% compare
- 36 Canada 0.0% compare
- 36 Central African Republic 0.0% compare
- 36 Chile 0.0% compare
- 36 China 0.0% compare
- 36 Colombia 0.0% compare
- 36 Comoros 0.0% compare
- 36 Congo 0.0% compare
- 36 Costa Rica 0.0% compare
- 36 Croatia 0.0% compare
- 36 Cuba 0.0% compare
- 36 Cyprus 0.0% compare
- 36 Czechia 0.0%
- 36 Denmark 0.0%
- 36 Dominican Republic 0.0% compare
- 36 Ecuador 0.0% compare
- 36 Egypt 0.0% compare
- 36 Equatorial Guinea 0.0% compare
- 36 Estonia 0.0%
- 36 Eswatini 0.0% compare
- 36 Finland 0.0%
- 36 France 0.0% compare
- 36 French Polynesia 0.0% compare
- 36 Gabon 0.0% compare
- 36 Georgia 0.0%
- 36 Germany 0.0% compare
- 36 Greece 0.0% compare
- 36 Guyana 0.0% compare
- 36 Haiti 0.0% compare
- 36 Honduras 0.0% compare
- 36 Hong Kong 0.0% compare
- 36 Hungary 0.0%
- 36 Iceland 0.0%
- 36 Indonesia 0.0% compare
- 36 Iran 0.0% compare
- 36 Iraq 0.0% compare
- 36 Ireland 0.0%
- 36 Israel 0.0% compare
- 36 Italy 0.0% compare
- 36 Jamaica 0.0%
- 36 Japan 0.0%
- 36 Jordan 0.0% compare
- 36 Kazakhstan 0.0%
- 36 Kenya 0.0% compare
- 36 South Korea 0.0% compare
- 36 Kuwait 0.0% compare
- 36 Kyrgyzstan 0.0%
- 36 Latvia 0.0%
- 36 Lebanon 0.0% compare
- 36 Lesotho 0.0% compare
- 36 Lithuania 0.0%
- 36 Luxembourg 0.0% compare
- 36 Macao 0.0% compare
- 36 Malaysia 0.0% compare
- 36 Maldives 0.0% compare
- 36 Malta 0.0% compare
- 36 Mauritius 0.0% compare
- 36 Mexico 0.0% compare
- 36 Moldova 0.0%
- 36 Mongolia 0.0% compare
- 36 Montenegro 0.0% compare
- 36 Myanmar 0.0% compare
- 36 Namibia 0.0% compare
- 36 Netherlands 0.0% compare
- 36 New Caledonia 0.0% compare
- 36 New Zealand 0.0%
- 36 Nigeria 0.0% compare
- 36 North Macedonia 0.0% compare
- 36 Norway 0.0%
- 36 Panama 0.0% compare
- 36 Paraguay 0.0% compare
- 36 Peru 0.0% compare
- 36 Philippines 0.0% compare
- 36 Poland 0.0% compare
- 36 Portugal 0.0% compare
- 36 Puerto Rico 0.0% compare
- 36 Qatar 0.0% compare
- 36 Romania 0.0% compare
- 36 Russia 0.0%
- 36 Samoa 0.0%
- 36 Sao Tome and Principe 0.0% compare
- 36 Saudi Arabia 0.0% compare
- 36 Serbia 0.0% compare
- 36 Singapore 0.0% compare
- 36 Slovakia 0.0%
- 36 Slovenia 0.0%
- 36 South Africa 0.0% compare
- 36 Spain 0.0% compare
- 36 Saint Lucia 0.0% compare
- 36 Saint Vincent and the Grenadines 0.0% compare
- 36 Suriname 0.0%
- 36 Sweden 0.0%
- 36 Switzerland 0.0%
- 36 Tajikistan 0.0% compare
- 36 Tanzania 0.0% compare
- 36 Thailand 0.0% compare
- 36 East Timor 0.0% compare
- 36 Tonga 0.0% compare
- 36 Trinidad and Tobago 0.0% compare
- 36 Tunisia 0.0% compare
- 36 Turkey 0.0% compare
- 36 Turkmenistan 0.0%
- 36 Ukraine 0.0%
- 36 United Arab Emirates 0.0% compare
- 36 United Kingdom 0.0% compare
- 36 United States 0.0% compare
- 36 Uruguay 0.0% compare
- 36 Vanuatu 0.0% compare
- 36 Venezuela 0.0% compare
- 36 Vietnam 0.0% compare
- 36 Palestine 0.0% compare
- 36 Zambia 0.0% compare
- 36 Zimbabwe 0.0% compare
More reference data data for Democratic Republic of Congo
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.3528 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 1.56 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 2.31 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.335 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 2.31 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 1.18 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 1.44 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 6.66 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 11.56 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 1.82 (2050)
Frequently asked questions
- What is wittgenstein projection: percentage of the total population by in Democratic Republic of Congo?
- Wittgenstein projection: percentage of the total population by in Democratic Republic of Congo 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 total population by recorded in Democratic Republic of Congo?
- The highest recorded value was 0.1% in 2010.
- What is the lowest wittgenstein projection: percentage of the total population by recorded in Democratic Republic of Congo?
- The lowest recorded value was 0.0% in 2075.
- How does Democratic Republic of Congo rank for wittgenstein projection: percentage of the total population by?
- Democratic Republic of Congo ranks 36th out of 166 countries with data for 2100.
- Where does this Democratic Republic of Congo 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 total population by highest level of educational attainment. No Education. Female. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 19 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
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/