Access the new Contextual Database web platform

Download the guide to the new Contextual Database.

The former Contextual Database and Contextual Data Collection of the GGP are still available here.

BACKGROUND

The Contextual Database (CDB) of the Generations & Gender Programme (GGP) offers open access to comparable, aggregated contextual data, which may be linked to the individual level data of national Generations & Gender Surveys. The CDB contains demographic, economic, and policy indicators for around 60 countries. Both GGP countries as well as other countries are included in the CDB.

The CDB was established in the early 2000’s under the coordination of the Max Planck Institute of Demographic Research (MPIDR). Data collection for countries participating in the GGP was carried out by partner institutions in the respective countries. They were asked to collect national-level and regional-level time series, as well as to provide descriptions of national-level policies. These data collections were complemented with different sources, including international databases of supranational organizations or research consortiums, and made available in an online platform.

The French National Institute for Demographic Studies (INED) maintains the GGP Contextual Database since 2018. The online database was migrated to a new platform and the list of contextual indicators was revised. In collaboration with the GGP Central Coordination team and in consultation with a panel of demographic researchers, a set of “core” indicators were identified for regular updating. The data is now compiled exclusively from international databases and is restricted to country level (sub-national data and descriptions of policies are no longer gathered).

In compiling the new list of core indicators, the following criteria were used: (1) indicators should help explain or understand demographic trends in developed countries in a global perspective; (2) indicators should be widely available and therefore be easily updated (ideally annually); (3) indicators should be available for a large number of countries as opposed to only European Union member states or only OECD countries.

The indicators from the pre-2018 platform not included in the new core list may still be found in “The Generations & Gender Contextual Database Archive”. Most of these indicators were prepared between 2010 and 2011. This group of indicators will no longer be updated. It includes data at the national level, and, wherever possible, at the sub-national level.

• Read more about the Contextual Database and its development before 2018: Working paper, Article, History & Former Teams.
• Download the data collected by the national partners of GGP countries for the Contextual Database and the related background information: Data & Metadata (including the templates for National Data Collectors), List of National Data Collectors.

PRACTICAL NOTES

ID Codes
Each geographic entity is identified by a number. It is also possible to select country classifications following the code used in the GGP survey to identify the place of residence of an interviewed person. This makes it easy to match extracted macro data with the GGP survey data. In addition to the GGP codes, NUTS and OECD coding schemes are also available. In “The Generations & Gender Contextual Database Archive”, also the German codes AGS (Amtlicher Gemeindeschlüssel) are  available (for German sub-national levels only). The XLSX tables “ReferenceAreasCountries” and “ReferenceAreasRegions” available for download in “About table” contain all the geographic entities covered in the CDB and the corresponding geographic codes. 

Meta Information
Metadata on each indicator are available in “About table”. This includes: contact and general information, source(s) used, relevant web links, citation guidelines, indicator definition, XLSX tables with the reference areas and their ID codes, notes related to specific data entries. The latter can also be accessed by clicking on the relevant data entry. In addition to this, for the indicators under “The Generations & Gender Contextual Database Archive”, we document the data source for each individual entry (just like in the pre-2018 platform) and, if applicable, we indicate the list of National Data Collectors. For some indicators of this group, the metadata for each data entry are only provided in a downloadable file.

Software
The GGP Contextual Database web platform uses PXWeb, an IT tool developed by Statistics Sweden for publishing and analyzing online statistical files in PX format.
Read more about Px-files and statistical programs for Px-files here.
We are grateful to Statistics Sweden for allowing us to reuse their software!
Thanks also to the members of the PXWeb community for their precious support and help in learning the software!

CONTRIBUTORS

1) Under MPIDR coordination (up to 2011)

Between 2000-2008

Members of the Contextual Database Working Group:

• Dora Kostova, Max Planck Institute for Demographic Research (MPIDR), Rostock, Co-ordination
• Gerda Neyer, MPIDR, Rostock, Co-ordination
• Martin Spielauer, MPIDR, Rostock, Co-ordination
• Enrico Bisogno, United Nations, Population Activities Unit
• Patrick Festy, Institut national d’etudes démographiques (INED), France; Coordinator until mid 2003
• Jacques Légaré, Statistics Canada
• Alphonse MacDonald, United Nations, Population Activities Unit
• Tereza Munzi, Luxembourg Income Studies
• Antonella Pinnelli, University La Sapienza, Rome
• Filomena Racioppi, University La Sapienza, Rome
• Giulia Rivellini, Catholic University Sacre Cuore, Italy

National experts:

• Gert Hullen, Federal Institute for Population Research
• Dora Kostova, Bulgarian Center for Population Studies
• Jaroslav Kraus, Charles University Prague
• Vera Kucharová, Czech Republic
• Norbert Neuwirth, Austrian Institute for Family Studies
• Jitka Rychtaríková, Charles University Prague
• Oxana Sinyavskaya, Independent Institute for Social Policy, Moscow
• Akos Tarknyi, Hungarian Statistical Office
• Sergei Zakharov, Independent Institute for Social Policy, Moscow

Between 2009-2011 – Project Team

• Arianna Caporali, INED, Paris, Co-ordination
• Sebastian Klüsener, MPIDR, Rostock, Co-ordination
• Gerda Neyer, University of Stockholm, Co-ordination
• Olga Grigorieva, MPIDR, Rostock, Legal Issues
• Fred Heiden, MPIDR, Rostock, IT
• Sandra Krapf, MPIDR, Rostock
• Luciano Lavecchia, UNECE – Population Activity Unit
• Jana Amtsberg, MPIDR, Rostock
• Ingrid-Erika Banciu, MPIDR, Rostock
• Matthias Dettendorfer, MPIDR, Rostock
• Michael Henke, MPIDR, Rostock
• Jonas Richter-Dumke, MPIDR, Rostock
• Maria Asmus, MPIDR, Rostock
• Mathias Voigt, MPIDR, Rostock

2) National Data Collectors

• Austria: Data collection was co-ordinated by  Norbert Neuwirth, Austrian Institute for Family Studies at the University of Vienna
• Belgium: Data collection was co-ordinated by  Karel Neels and Zita Theunynck (University of Antwerp) with support from Marc Debuisson (IWEPS), Martine Corijn (SVR), Kim Boudiny (University of Antwerp) and Sandrine de Waleffe (Université Catholique de Louvain-La-Neuve), University of Antwerp
• Bulgaria: Data collection was co-ordinated by  Dora Kostova and Tatyana Kotzeva, Center for Population Studies at the Bulgarian Academy of Science and  Iordan Kaltchev, Bulgarian National Statistical Institute
• Canada: Data collection was co-ordinated by  Jacques Légaré, University Montreal
• France: Data collection was co-ordinated by  Olivier Thévenon and Arianna Caporali, Institut national d’etudes démographiques (INED)
• Georgia: Data collection was co-ordinated by  Irina Badurashvili, Georgian Center of Population Research
• Germany: Data collection was co-ordinated by  Lenore Sauer, Federal Institute for Population Research
• Hungary: Data collection was co-ordinated by  Ákos Tárkányi, Hungarian Central Statistical Office
• Lithuania: Data collection was co-ordinated by  Vlada Stankūnienė, Demographic Research Center, Institute for Social Research in collaboration with Statistics Lithuania
• Norway: Data collection was co-ordinated by  Trude Lappegård, Division for Social and Demographic Research, Statistics Norway
• Poland: Data collection was co-ordinated by  Ewy Frątczak, Institute of Statistics and Demography, Warsaw School of Economics
• Romania: Data collection was co-ordinated by  Cornelia Mureşan, University Babes-Bolyai
• Russia: Data collection was co-ordinated by  Oxana Sinyavskaya and Sergei Zakharov, Independent Institute for Social Policy
• Sweden: Data collection was co-ordinated by  Gerda Neyer and Johan Dahlberg, Stockholm University Demographic Unit

3) Team under INED coordination (since 2018)

• Arianna Caporali, INED, co-ordination
• Meredith Winn, INED, contributor
• Marc Lamouche, INED, IT
• Julie Lenoir, INED, IT
• Guy-Vert Neus, INED, trainee (2018-2019)
• Boris Wegner, INED, trainee (2018-2019)
• Marine Chartier, INED, Legal Department (2018-2019)

Examples of complementarity data sources providing “qualitative” contextual information, i.e. standardized descriptions of national laws and/or educational systems, health systems, etc.:

• Eurydice network
• International Network on Leave Policies and Research
• LawsAndFamilies Database
• Mutual Information System on Social Protection (MISSOC)
• Social Policy and Law Shared Database (SPLASH)
• Social Security Programs Throughout the World

Download a collection of links to 16 “qualitative” contextual data sources by main themes covered

Examples of complementary data sources providing “quantitative” contextual indicators:

• “Large” international databases, e.g.:
  • Eurostat Database
  • OECD.stat Extracts
  • The World Bank DataBank
• Specialized data sources, e.g. :
  • Comparative Family Policy Database
  • Human Fertility Database (HFD)
  • Human Mortality Database (HMD) 
  • Luxembourg Income Study (LIS) Complementary Databases
  • Multilinks Database on Intergenerational Policy Indicators
  • OECD Family Support Calculator
  • Social Policy Indicators (SPIN) datasets

Download a collection of links to 62 “quantitative” contextual data sources by main themes covered

Database coordinator
The GGP Contextual Database is coordinated by Arianna Caporali at INED. Data are stored on INED servers. 

Any questions, comments or suggestions regarding the database should be emailed to arianna.caporali @ ined.fr.

Citation Guidelines
All data are free for scientific use only. For any other use, please contact the data producer directly to obtain authorization.

Please cite the database as follows:

Generations and Gender Programme (Year). Generations and Gender Contextual Database. Netherlands Interdisciplinary Demographic Institute (distributor).
Retrieved from: https://px.web.ined.fr/GGP on Day/Month/Year

If the data downloaded from the GGP Contextual Database comes only from one source (e.g. Eurostat), you might cite it as follows:

Original Source [e.g. Eurostat, © European Union, 1995–2018] (Data obtained through the Generations and Gender Contextual Database. Netherlands Interdisciplinary Demographic Institute (distributor). Retrieved from: https://px.web.ined.fr/GGP on Day/Month/Year)

Please also check the original source for further information on the use of the data and proper citation.

Disclaimer
The database contains information with a scientific aim.
The user agrees to follow current laws and regulations, and will be held liable for using database.
Although we aimed for the highest level of consistency in the database, both over time and across nations, we were entirely dependent on the available data published by various organizations. Users should be aware of possible discontinuities and discrepancies in the series. Users are responsible for the correct use of the data taken from this database. The coordinator, INED, and NIDI shall not be held liable for any inaccurate or incomplete information in any part of this database and for any misuse of the content.