During the Soviet era, the unavailability or secrecy of public data, in particular, legal statistics, served to separate administrative law from the practice of combating crime. It is known that legal scholars almost always in studies that require the study of the criminological component of social relations, there is a possibility to establish the level, distribution, trends, structure, determinants of offenses and so on. Therefore, it becomes possible to use these data in making management decisions, clarifying the consequences of regulations, arguing the need for changes in legislation, making comparisons with arrays of opinion polls, and so on. But even with the publicity of statistics, there is criticism, which is usually reduced to accusations of heterogeneous manipulation. To some extent, this applies to statistics on administrative liability for corruption-related offenses. The purpose of the article is to determine, based on the analysis of statistical, judicial and departmental data, the main trends in bringing to administrative responsibility in 2017-2019 for corruption-related offenses. The article highlights the issue of the status of bringing to administrative responsibility for offenses related to corruption. Based on the analysis of statistical, judicial and departmental reporting, the main trends in holding perpetrators accountable in 2017-2019 are identified. The author used the indicator of specific gravity and quantitative and qualitative indicators. The annual registration changes, the geography and qualification of offenses, the composition of offenders, as well as the defeat of public administration are examined. Particular attention is paid to offenses that border on corruption offenses, are recognized as criminological by criminology, or in some countries are attributed to such. Emphasis is placed on the problems of access to information, latency of offenses and imperfection of reporting. New trends in administrative offenses related to corruption are characterized and disclosed. Further directions for future research are identified.