Labor productivity indices in key non-resource sectors of the economy are presented in percent, with 2017 as the base year. Table rows are categorized by region, from federal districts to individual oblasts, totaling 96. Dynamics are shown for two years: 2019 and 2020, with the index for Russia as a whole increasing from 109.4 to 116.1 percent. The indicator enables inter-regional comparison of productivity growth rates in the non-resource sector
Chart of labor productivity indices in key non-resource sectors by region for 2019–2020
Rosstat data for 2019–2020. Rows: 96, periods: 2. Measurement unit — indices are given relative to 2017. Breakdown: Russian Federation; Central Federal District; Belgorod Region; Bryansk Region; Vladimir Region and others
Moscow Region: the indicator grew from 120.7 to 136.9 in 2019–2020 — by 13.4%. Of the 25 largest rows, 22 increased, 3 decreased
Comparison of performance across different constituent entities is available through a territorial breakdown. The list includes indicators for the entire Russian Federation as well as data for federal districts and specific oblasts, such as Belgorod Oblast. This allows for assessing which territories lead in non-resource sector development rates and which lag behind national averages during the two-year period
What is visible in these numbers
Five highest values: Moscow Region (136.9), Vladimir Region (135.5), Bryansk Region (125.8), Ryazan Region (125.4), Kursk Region (122.1). The top five account for 22.5% of the total sum across all positions
Observations are annual, the dataset contains 2 periods. Of 50 possible values, 50 (100%) are filled, i.e. the table is almost completely filled
More in the section Statistical yearbook "Sustainable Development Goals in the Russian Federation»
The statistics cover 2019 and 2020 and are included in the Sustainable Development Goals yearbook. The data is relevant for economists and researchers studying structural changes in the national economy. The information is updated annually, enabling the tracking of short-term productivity trends in sectors independent of raw material exports
How it is calculated
Such data are needed when a figure in a presentation must be supported by a reference to an official source
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