Методы реконструкции данных муниципальной статистики на примере внутригородского муниципального образования Санкт-Петербурга

Известия РАН. Серия географическая. 2022. Т. 86. № 4. С. 503–518.

Strakhov K.

The article presents methods of municipal statistics missing data reconstruction based on indirect data in federal city’s intracity municipal district. The author used presented methods in course of Vladimirsky Okrug in St. Petersburg sociogeographical study in 2020. Using the Vladimirsky Okrug example, the author evaluates the completeness and quality of municipal statistics in St. Petersburg and concludes that local self-government bodies did not have reliable statistical data necessary for the local issues implementation. Only 8 out of 1400 indicators are continuously presented in the Indicators of Municipalities Database of Rosstat for the last decade, many are fragmentary for 1–3 years, which hinders retrospective analysis. Reconstruction is a forced step due to the lack, closeness, or incorrectness of statistical and departmental accounting data. Comparing the state and departmental statistics the author shows differences in the population accounting district up to 9% in the moment and showed multidirectional dynamics in retrospect. Statistics reconstruction allowed to clarified the population number (based on water supply accounting data), the small businesses amount and their (sectoral structure, and the motorization indicators of the population (based on tax statistics), the parking infrastructure shortage (based on field observation), and the population coverage with municipal services (through an assessment of the social infrastructure load). The author concludes that the most reliable results of the statistics reconstruction are based on a field survey and primary accounting data analysis, since they are provided by direct visual or documentary control. The article shows that the lack of municipal statistics leads to inefficiency in the local self-government bodies activities.

Keywords: местное самоуправление, оценка эффективности, local self-government, муниципальная статистика, data reconstruction, реконструкция данных, городской район, внутригородское муниципальное образование, municipal statistics, performance assessment, intracity district, intracity municipality