Administrative Crime and Policing Trends in Ukraine 2019–2024 Under Wartime Disruption Offenses

dc.contributor.authorShvets, Yuliia
dc.contributor.authorKorniienko, Maksym
dc.contributor.authorIvantsov, Volodymyr
dc.contributor.authorGalagan, Sergii
dc.contributor.authorBotnarenko, Oleksii
dc.contributor.authorTernytskyi, Serhii
dc.contributor.authorШвець, Юлія Вікторівна
dc.date.accessioned2026-02-12T16:51:17Z
dc.date.issued2025
dc.description.abstractThis study examines the behavior of policing-relevant administrative indicators in Ukraine across 2019–2024, spanning pre-escalation conditions and the period following the large-scale escalation of armed conflict beginning in February 2022. Using a measurement-aware, mixed-method descriptive design, we compile indicators across five domains: crime-processing backbone (registered and solved crimes), domestic-violence reporting, missing-persons caseload, institutional workload/service demand, and public trust in police. The evidence shows a clear discontinuity around 2022, where several domains stop behaving like extensions of pre-war patterns and begin reflecting a different measurement environment. Registered and solved crimes reverse direction after 2021 and expand through 2024, while the clearance proxy rises overall but does not move smoothly. Domestic-violence reports show volatility followed by post-2021 elevation, missing-persons magnitudes expand in post-2022 snapshots, and trust softens from 2023 to 2024. Cross-domain comparison reveals both convergence (multiple indicators shifting together around 2022) and divergence (clearance and trust moving differently from crime volumes). We interpret these patterns through an institutional-output lens: observed series are jointly shaped by changing reporting conditions, recording practices, coverage, and case processing constraints, not just by underlying prevalence. The study demonstrates a crisis-ready approach where indicators are reported faithfully to their public form, discontinuities are made explicit, and conclusions avoid over-claiming. Recommendations include pairing numbers with coverage/definitional metadata, treating cross-domain divergence as an audit trigger, and strengthening multi-source triangulation to distinguish changes in harm from changes in measurement.
dc.identifier.citationAdministrative Crime and Policing Trends in Ukraine 2019–2024 Under Wartime Disruption Offenses/ Y. Shvets, M. Korniienko, V. Ivantsov, S. Galagan, O. Botnarenko, S. Ternytskyi. Journal of Islamic Science, Culture, and Social Studies. 2025. Vol.5. No2. Pp.153-167. https://doi.org/10.53754/htjdwq12
dc.identifier.doihttps://doi.org/10.53754/htjdwq12
dc.identifier.issn2775-4243
dc.identifier.orcidhttps://orcid.org/0009-0004-6949-8465
dc.identifier.orcidhttps://orcid.org/0000-0002-6420-6169
dc.identifier.orcidhttps://orcid.org/0000-0002-2904-0466
dc.identifier.orcidhttps://orcid.org/0000-0003-4028-942X
dc.identifier.orcidhttps://orcid.org/0009-0008-0776-8828
dc.identifier.orcidhttps://orcid.org/0000-0002-5082-1400
dc.identifier.urihttps://dspace.krok.edu.ua/handle/krok/9852
dc.language.isoen
dc.publisherPerkumpulan Alumni dan Santri Mahyajatul Qurro
dc.subjectadministrative indicators
dc.subjectcrime reporting
dc.subjectdata validity
dc.subjectpolicing trends
dc.subjectwartime disruption
dc.titleAdministrative Crime and Policing Trends in Ukraine 2019–2024 Under Wartime Disruption Offenses
dc.typeArticle

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