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Depreciation rate of fixed assets by economic activity, edition

in percentage

· dynamics annual · rows: 16 · periods: 9 · section: Economic efficiency (России)

The percentage ratio of equipment and building depreciation to their original cost is estimated across various economic sectors from 2008 to 2016. Rows are categorized by economic activity according to the OKVED2007 classifier, including agriculture, hunting, forestry, and fishing. This allows for comparison of the obsolescence of the material base across different industries. The indicator is presented in percent and covers all organizations in the country

Chart of fixed asset depreciation rate by economic activity, 2008–2016, in percent

30 40 50 60 70 2008 2009 2010 2011 2012 2013 2014 2015 2016
how it will look

Set in numbers

Rosstat data for 2008–2016. Rows: 16, periods: 9. Measurement unit — percentages. Breakdown: Total; Section A / Agriculture, hunting and forestry; Section B / Fishing, fish farming; Section C / Mining; Section D / Manufacturing and others

Section B / Fishing, fish farming: indicator fell from 62.7 to 50.8 over 2008–2016 — by 19%. Highest value — 65.9 (2011), lowest — 50.8 (2016). This is an average annual decline of 2.6%. Up to 2012 the change was +3.83%, after — −22%. Of the 16 largest rows, 10 increased, 6 declined

All table numbers are series: 16
Series 200820092010201120122013201420152016
Всего 45,30 45,30 47,10 47,90 47,70 48,20 49,40 47,70 48,10
Раздел А / Сельское хозяйство, охота и лесное хозяйство 42,20 42,20 42,10 42,80 42,50 42,70 43,50 41,60 41,20
Раздел В / Рыболовство, рыбоводство 62,70 65,30 64,70 65,90 65,10 64,40 58,90 52,40 50,80
Раздел С / Добыча полезных ископаемых 50,90 49,60 51,10 52,20 51,20 53,20 55,80 55,40 57,50
Раздел D / Обрабатывающие производства 45,60 45,70 46,10 46,70 46,80 46,80 46,90 47,70 50,00
Раздел Е / Производство и распределение электроэнергии, газа и воды 51,20 50,70 51,10 50,50 47,80 47,60 47,30 44,50 45,60
Раздел F / Строительство 45,50 46,90 48,30 47,50 49,00 50,00 51,20 50,40 48,40
Раздел G / Оптовая и розничная торговля; ремонт автотранспортных средств, мотоциклов, бытовых изделий и предметов личного пользования 33,80 33,00 33,60 36,50 39,80 39,90 43,30 39,60 42,00
Раздел Н / Гостиницы и рестораны 40,30 41,00 41,20 41,80 42,50 44,10 42,70 37,60 37,80
Раздел I / Транспорт и связь 55,10 54,80 56,40 57,20 56,20 56,50 58,30 55,80 56,00
Раздел J / Финансовая деятельность 33,10 39,20 38,60 44,00 42,10 43,60 43,30 40,50 45,30
Раздел K / Операции с недвижимым имуществом, аренда и предоставление услуг 31,90 31,10 35,30 34,60 36,30 37,30 38,70 38,10 37,00
Раздел L / Государственное управление и обеспечение военной безопасности; социальное обеспечение 47,90 48,30 50,20 54,00 53,50 55,50 54,40 48,20 47,60
Раздел M / Образование 51,00 52,30 53,20 54,30 54,30 53,90 52,50 48,00 46,80
Раздел N / Здравоохранение и предоставление социальных услуг 50,60 51,50 53,30 53,90 52,70 54,90 55,20 53,90 57,00
Раздел O / Предоставление прочих коммунальных, социальных и персональных услуг 40,70 43,40 44,50 43,50 44,90 45,00 44,90 40,80 41,00

How to read this table

Inter-industry differences show where asset depreciation is higher and where equipment remains more modern. The table allows for comparing the national depreciation level with specific sectors, such as agriculture or fishing. Comparing rows helps illustrate the structure of technological renewal in the economy based on enterprise specialization. Data for each industry are calculated as of the end of each reporting year

What is visible in these numbers

Highest values: Section B / Fishing, fish farming (65.9), Section I / Transport and communications (58.3), Section C / Mining (57.5). The top three account for 22.4% of the total across all items

Observations are annual, the dataset contains 9 periods. Of 144 possible values, 144 are filled (100%); data gaps are virtually absent

More in the section Economic efficiency»

Period and application

Statistics are collected annually and cover the period from 2008 to 2016. Information is published by Rosstat to analyze asset utilization efficiency and to plan investments in production capacity upgrades. This data is useful for assessing the state of the material and technical base of enterprises in various economic sectors and for monitoring the technical condition of fixed assets