Typology of Russian Regions by Crime Indicators: Information Model

Pavel V. Galushin and Elena N. Galushina
Additional contact information
Pavel V. Galushin: Siberian Law Institute of the Ministry of Internal Affairs of Russia
Elena N. Galushina: Krasnoyarsk State Medical University named after prof. V.F. Voyno-Yasenetsky

Economics. Information Technologies, 2026, vol. 53, issue 1, 191-202

Abstract: Crime remains a significant negative factor for the economic development of Russian regions and the social well-being of the country’s population. In this paper, we have used the principal component method to identify the most informative linear combinations (principal components) of crime coefficients for individual articles of the Criminal Code, based on official statistics on various crimes. The resulting information model for the typologization of Russian regions by crime indicators shows that the regions differ most in terms of the overall crime rate, followed by the prevalence of crimes against property and public order over crimes against persons, while the third most important division of regions is based on the prevalence of spontaneous crimes over carefully planned ones.

Keywords: Principal Component analysis; crime rate; crime rate structure (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eul:ecoinf:v:53:y:2026:i:1:p:191-202

DOI: 10.52575/2687-0932-2026-53-1-191-202

Access Statistics for this article

Economics. Information Technologies is currently edited by Elena A. Stryabkova

More articles in Economics. Information Technologies from Belgorod State University
Bibliographic data for series maintained by Tatyana M. Khomenko ().