Wittgenstein Centre
Human Capital Data Explorer
Explore, select and download data on past reconstructions and future projections of the global population by age, sex and education, published in Lutz, Goujon, KC, Stonawski, and Stilianakis (Eds.) (2018) .
This is an older version of the Wittgenstein Centre Human Capital Data Explorer. The newest version of the demographic estimates is available in the latest data explorer .
Basic underlying assumptions used in the projection of future indicators. Available at the country level only. Full information on the scenarios can be found on the About page.
Wittgenstein Centre
Human Capital Graphic Explorer
Explore, visualise and download graphics on past reconstructions and future projections of the global population by age, sex and education, published in Lutz, Goujon, KC, Stonawski, and Stilianakis (Eds.) (2018) .
This is an older version of the Wittgenstein Centre Human Capital Data Explorer. The newest version of the demographic estimates is available in the latest data explorer .
Download profile pages of 201 countries from the appendix of Lutz, Goujon, KC, Stonawski, and Stilianakis (Eds.) (2018) (revised version).
Note: The image to the right is a sample preview. It will not update.
Further Details
More detailed information on how to use this web application. Further reading on the data from the global population projections by age, sex and education is provided in Lutz, Goujon, KC, Stonawski, and Stilianakis (Eds.) (2018) and in Speringer et al. (2019) for the reconstruction.
The data in the Data Explorer is slightly different from the data published in Lutz, Goujon, KC, Stonawski, and Stilianakis (Eds.) (2018) due to later data adjustments in the course of validating the Data Explorer 2.0, resulting in minor changes to the projections.
Further features about the methodology can be found in Lutz, Butz, and K.C. (2014).
Overview
This website presents a set of different scenarios of future population and human capital trends in 201 countries of the world to 2100. The result of the population projections by levels of educational attainment were published in 2018 in Lutz, Goujon, KC, Stonawski, and Stilianakis (Eds.) (2018). They provide an update of the projections (scope, coverage and quality) presented in Lutz, Butz and KC in 2014, based on the work of a large team of researchers at the Wittgenstein Centre for Demography and Global Human Capital and at other institutions.
The present version (2.0) benefited from the partnership with the Joint Research Centre in the Centre of Expertise on Population and Migration (CEPAM). On top of the assumptions about future trends in fertility, mortality, and education, the projections study the effect of several migration assumptions applied to the context of the set of Shared Socioeconomic Pathways (SSP) scenarios related to the Intergovernmental Panel on Climate Change (IPCC).
The new version also includes the reconstruction of population by levels of educational attainment from 1950 to 2015 for 185 countries. More information in Speringer et al. 2019.
Citation
The suggested citation for data and plots from this website is:
Wittgenstein Centre for Demography and Global Human Capital, (2018). Wittgenstein Centre Data Explorer Version 2.0. Available at: http://www.wittgensteincentre.org/dataexplorer
R package
You may download data directly into using the wcde package. See the package website for further details.
Credits
Data Explorer Team at the Wittgenstein Centre for Demography and Global Human Capital:
Concept and Coordination:
Data:
Web Interface:
Researchers who participated in the development of the projections:
| M. Jalal Abbasi-Shavazi | Michel Guillot | Richard G. Rogers |
| Guy J. Abel a | Graeme Hugo | Anna Rotkirch |
| Alicia Adsera | Gavin Jones | Patrick Sabourin a, b |
| Bilal F. Barakat a | Sandra Jurasszovich | Nikola Sander |
| Stuart Basten | Samir K.C. a | Warren C. Sanderson a |
| Ramon Bauer | James K.S. | Zeba Sathar |
| Jan Van Bavel | Siew-Ean Khoo | Sergei Scherbov a |
| Alain Bélanger a, b | Henri Leridon | Bruno Schoumaker |
| Donatien Beguy | Elke Loichinger a | David Shapiro |
| Caroline Berghammer a | Marc Luy a | Vegard Skirbekk |
| Ayla Bonfiglio | Wolfgang Lutz a, b | Tomas Sobotka a |
| William P. Butz | Guillaume Marois a, b | Markus Speringer |
| Graziella Caselli | Douglas Massey | Nikolaos Stilianakis b |
| John Casterline | Bruno Masquelier | Marcin Stonawski a, b |
| Teresa Castro-Martin | John F. May | Erich Striessnig a |
| Minja Kim Choe | Blessing Mberu | Christian Wegner-Siegmundt a |
| Alessandra Conte b | France Meslé | Maria Rita Testa a |
| Sven Drefahl | Melinda Mills | Olivier Thévenon |
| Rachel E. Durham | S. Philip Morgan | Edward Jow-Ching Tu |
| Jakob Eder | Elsie Pamuk | Laura Wong |
| Regina Fuchs | Michaela Potančoková a, b | Marcus Wurzer |
| Tomas Frejka | Claudia Reiter a | Brenda Yepez-Martinez |
| Alessandra Garbero | Ronald R. Rindfuss | Dilek Yildiz a |
| Michel Garenne | Fernando Riosmena | Sam Hyun Yoo |
| Anne Goujon a | Louis Rosero-Bixby | Kryštof Zeman a |
| Erofili Grapsa b | Arodys Robles | Zhongwei Zhao |
| a Wittgenstein Centre for Demography and Global Human Capital | ||
| b Centre of Expertise on Population and Migration (CEPAM), Joint Research Center | ||
Web interface built using:
- shiny: Chang, W., Cheng J., Allaire, J.J., Xie, Y. & McPherson, J. (2018). shiny: Web Application Framework for R. R package version 1.1.0
Additional R packages used for data manipulations and visualisation:
- dplyr: Wickham, H., Francois, R., Henry, L. and Müller K. (2018). dplyr: A Grammar of Data Manipulation. R package version 0.7.6.
- googleVis: Gesmann, M., & de Castillo, D. (2011). Using the Google visualisation API with R. The R Journal, 3(2), 40-44.
- magrittr: Bache, S.M. & Wickham, H. (2015). magrittr: A Forward-Pipe Operator for R. R package version 1.5
- markdown: Allaire, J.J., Horner, J., Marti, V. & Porte, N. (2015). markdown: Markdown rendering for R. R package version 0.7.4
- tidyr: Wickham, H. & Henry, L. (2018). tidyr: Easily Tidy Data with ‘spread()’ and ‘gather()’ Functions. R package version 0.8.1.
- saves: Daróczi, G. (2013). saves: Fast load variables. R package version 0.5
- webshot: Chang, W. (2017). webshot: Take Screenshots of Web Pages. R package version 0.5
General:
Data and Graphic Explorer:
For further details see:
-
O’Neill, B.C., Kriegler, E., Ebi, K.L., Kemp-Benedict, E., Riahi, K. (2014). The roads ahead: Narratives for shared socioeconomic pathways describing world futures in the 21st century. Global Environmental Change.
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Riahi, K., van Vuuren, D.P., Kriegler, E., Edmonds, J., O’Neill, B.C., Fujimori, S. et al (2017). The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview. Global Environmental Change.
For further details see:
- Speringer et al. (2019). Global Reconstruction of Educational Attainment, 1950 to 2015: Methodology and Assessment. (VID Working Paper 02/2019). Vienna, Austria: Vienna Institute of Demography (VID/OÄAW).
