The Dimensions of Antisemitism (DIMA) dataset is a unique resource for researchers and others interested in tracking and analyzing patterns of antisemitism over time and across countries. On this website you can download the dataset and the accompanying codebook.
About the dataset
DIMA is compiled from a range of publicly available sources (see the Codebook for details) and provides longitudinal (from 1990 onward) and cross-national data that measure indicators relating to three core dimensions of antisemitism: attitudes, incidents, and Jews' exposure. The dataset will be updated regularly, absorbing new data emerging from international attitude surveys, incident monitoring, and victimization surveys to extend the time series.
DIMA Dataset
When using the DIMA dataset, please cite the following article: Enstad, J. D. (2023). Accounting for Contemporary Antisemitism: A Four-Dimensional Framework and a New Dataset. Antisemitism Studies, 7(1), 4–49.
DIMA is a result of the research project Comparing Histories of Antisemitism in Contemporary Europe (CHACE), and is created by Dr. Johannes Due Enstad, senior research fellow at the Norwegian Institute for Social Research and affiliated researcher at C-REX.
The CHACE project is funded by the Research Council of Norway, and is a collaboration between the Institute for Social Research and C-REX.
For more information, see the project websites:
Comparing Histories of Antisemitism in Contemporary Europe - Institute for Social Research
Documenting Contemporary Antisemitism | Research blog for CHACE
Advisory Board
- Ayal K. Feinberg, Texas A&M University-Commerce
- Gunther Jikeli, Indiana University Blomington
- Jacob A. Ravndal, Norwegian Police University College