The latest data sheet provides a comprehensive look at key demographic indicators and main population trends for all European countries. More information at populationeurope.org
New measures of aging for all countries in the world and world regions, including projections for 2050.
Based on Sanderson, W., and Scherbov, S. (2015) Faster increases in human life expectancy could lead to slower population aging. PLOS ONE, 10(4):e0121922 doi:2015.10.1371/journal.pone.0121922
The data explorer allows to browse, select, visualize and download assumption and result data.
IIASA researcher Samir KC together with colleagues from the World Bank have developed an interactive tool that shows the journey of an individuals life in numbers and dates.
New population projections by age, sex, and level of educational attainment for the world, world regions, and 195 individual countries (24 countries with limited education data) with a time horizon to 2060.
The datasheet shows projections of the European population by age, sex and four levels of educational attainment
The Global Agro-ecological Zones (GAEZ) generates maps of the agricultural potential of land around the globe.
The datasheet provides information on a range of demographic indicators from fertility to aging to education levels for countries in Asia.
The GAINS model can generate maps of air quality indicators, concentrations of particulate matter, health impacts of particulate matter and ozone and much more.
The datasheet provides information on a range of demographic indicators from projected population to fertility to aging for all European countries.
The Geo-Wiki project produces new and improved global land cover maps using a global network of volunteers.
A wide range of soil maps can be generated from the Harmonized World Soil Database (HWSD).
The RCP database generates maps showing the emissions and concentrations of eight greenhouse gases across globe from 2000 until 2100.
The map integrates data from land and forest inventories, ecological monitoring, remote sensing data and in-situ information to provide a detailed view of different land classes in Russia.
Last edited: 23 January 2019
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Models and Data
International Institute for Applied Systems Analysis (IIASA)
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