The GLOBALCIT Citizenship Law Dataset includes information on the different ways in which citizenship can be acquired and lost across the world. The Dataset is organized around a comprehensive typology of modes of acquisition and loss of citizenship, which outlines, in a systematic way, 28 ways in which citizenship can be acquired and 15 ways in which citizenship can be lost. Building on previous GLOBALCIT databases, the systematised information in the new Dataset facilitates comparing rules applicable to similar groups across countries.
The GLOBALCIT Citizenship Law Dataset, v1.0 covers information on laws in force in 190 states on 1 January 2020. The Dataset will be updated periodically and gradually back-coded in time to cover the legal situation in previous years.
Online searchable databases:
Explore the different ways in which countries regulate the acquisition and loss of citizenship, by listing all applicable modes in one country, or compare similar regulations across countries.
Codebook and data repository:
A codebook outlining the comparative methodology, categorical coding scheme and the sources of the Dataset, as well as exportable data files, are available here.
The information searchable in these online databases on modes of acquisition and loss of citizenship is archived in two data files, row-ordered by country, year and mode. The complete or selected information can also be directly downloaded from the online databases (in .csv or .xlsx files), but users are recommended to refer to the files archived in the data repository when citing the data.
How to cite information from the online databases:
Vink, Maarten, Luuk van der Baaren, Rainer Bauböck, Iseult Honohan and Bronwen Manby (2021). GLOBALCIT Citizenship Law Dataset, v1.0, Country-Year-Mode Data ([Acquisition]/[Loss]). Global Citizenship Observatory, https://hdl.handle.net/1814/73190.
For a brief introduction to the Dataset, see this blog post. For a more elaborate introduction to the comparative methodology and presentation of some major patterns arising from the Dataset, see this working paper.
Do you have questions about the Dataset or comments/suggestions about the information provided for specific provisions in a country? We welcome all constructive feedback. Please email: email@example.com.