The Gross Domestic Product (GDP) in Russia expanded 0.60 percent in the third quarter of 2025 over the same quarter of the previous year. This dataset provides the latest reported value for - Russia GDP Annual Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The gross domestic product (GDP) of Russia reached nearly 2.2 trillion U.S. dollars in 2024, having increased from the previous year. In the period between 2025 and 2030, the country's economy was expected to continue growing. GDP refers to the total market value of all goods and services that are produced within a country per year. It is an important indicator of the economic strength of a country. Russian economy The Russian economy is primarily directed by both the private sector and the state. As a member of the BRIC, Russia is currently experiencing an accelerated growth within the economy with a chance of earning a place in the G7 economies. As of the 1990s, a large amount of the country’s industrial and agricultural sectors were privatized, however energy and military production remained with the state for the most part. Thus, the majority of Russian exports consisted of energy products as well as high-tech military equipment. The effects of the global financial crisis of 2008 took a similar toll on the Russian economy, however only had short-term effects. Russia recovered after two years and has since experienced exponential economic growth and productivity due to aggressive and prompt actions from the government, providing Russia with one of the most profitable economies in the world. Additionally, unemployment reached an all-decade low from the recent Russian economic boom, which furthermore implies that there is a slight growth in wages, however is also accompanied by a large worker shortage.

Key information about Russia Real GDP Growth

• The Gross Domestic Product (GDP) in Russia expanded 1.3 % YoY in Jun 2025, following a growth of 1.5 % in the previous quarter.
• Real GDP Growth YoY data in Russia is updated quarterly, available from Mar 1996 to Jun 2025, with an average rate of 0.8 %.
• The data reached an all-time high of 12.0 % in Dec 1981 and a record low of -0.2 % in Dec 2015.

CEIC calculates quarterly Real GDP Growth from quarterly Real GDP. The Federal State Statistics Service provides Real GDP in local currency at 2021 prices, based on SNA 2008. Real GDP Growth prior to Q1 2012 is calculated from Real GDP at 2008 prices and prior to Q1 2004 from Real GDP at 2003 prices, both based on SNA 1993.


Related information about Russia Real GDP Growth

• In the latest reports, Nominal GDP of Russia reached 612.6 USD bn in Jun 2025.
• Its GDP deflator (implicit price deflator) increased 3.6 % in Jun 2025.
• GDP Per Capita in Russia reached 13,817.0 USD in Dec 2023.
• Its Gross Savings Rate was measured at 26.1 % in Jun 2025.
• For Nominal GDP contributions, Investment accounted for 25.1 % in Jun 2025.
• Public Consumption accounted for 20.1 % in Jun 2025.
• Private Consumption accounted for 53.8 % in Jun 2025.

Full Year GDP Growth in Russia increased to 4.10 percent in 2024 from 3.60 percent in 2023. This dataset includes a chart with historical data for Russia Full Year Gdp Growth.

Russia RU: Statistical Performance Indicators (SPI): Overall Score: Scale 0-100 data was reported at 82.936 NA in 2023. This records a decrease from the previous number of 82.985 NA for 2022. Russia RU: Statistical Performance Indicators (SPI): Overall Score: Scale 0-100 data is updated yearly, averaging 78.853 NA from Dec 2016 (Median) to 2023, with 8 observations. The data reached an all-time high of 83.160 NA in 2021 and a record low of 71.921 NA in 2016. Russia RU: Statistical Performance Indicators (SPI): Overall Score: Scale 0-100 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Russian Federation – Table RU.World Bank.WDI: Governance: Policy and Institutions. The SPI overall score is a composite score measuing country performance across five pillars: data use, data services, data products, data sources, and data infrastructure.;Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators);Weighted average;

Russia RU: SPI: Pillar 1 Data Use Score: Scale 0-100 data was reported at 93.400 NA in 2019. This stayed constant from the previous number of 93.400 NA for 2018. Russia RU: SPI: Pillar 1 Data Use Score: Scale 0-100 data is updated yearly, averaging 60.000 NA from Dec 2004 (Median) to 2019, with 16 observations. The data reached an all-time high of 93.400 NA in 2019 and a record low of 40.000 NA in 2009. Russia RU: SPI: Pillar 1 Data Use Score: Scale 0-100 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Russian Federation – Table RU.World Bank.WDI: Governance: Policy and Institutions. The data use overall score is a composite score measuring the demand side of the statistical system. The data use pillar is segmented by five types of users: (i) the legislature, (ii) the executive branch, (iii) civil society (including sub-national actors), (iv) academia and (v) international bodies. Each dimension would have associated indicators to measure performance. A mature system would score well across all dimensions whereas a less mature one would have weaker scores along certain dimensions. The gaps would give insights into prioritization among user groups and help answer questions as to why the existing services are not resulting in higher use of national statistics in a particular segment. Currently, the SPI only features indicators for one of the five dimensions of data use, which is data use by international organizations. Indicators on whether statistical systems are providing useful data to their national governments (legislature and executive branches), to civil society, and to academia are absent. Thus the dashboard does not yet assess if national statistical systems are meeting the data needs of a large swathe of users.;Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators);Weighted average;

Russia's main stock market index, the MOEX, fell to 2681 points on December 2, 2025, losing 0.20% from the previous session. Over the past month, the index has climbed 4.30% and is up 5.58% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Russia. Russia Stock Market Index MOEX CFD - values, historical data, forecasts and news - updated on December of 2025.

Russia RU: SPI: Pillar 3 Data Products Score: Scale 0-100 data was reported at 79.088 NA in 2023. This records an increase from the previous number of 72.531 NA for 2022. Russia RU: SPI: Pillar 3 Data Products Score: Scale 0-100 data is updated yearly, averaging 55.206 NA from Dec 2005 (Median) to 2023, with 19 observations. The data reached an all-time high of 79.088 NA in 2023 and a record low of 38.394 NA in 2005. Russia RU: SPI: Pillar 3 Data Products Score: Scale 0-100 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Russian Federation – Table RU.World Bank.WDI: Governance: Policy and Institutions. The data products overall score is a composite score measureing whether the country is able to produce relevant indicators, primarily related to SDGs. The data products (internal process) pillar is segmented by four topics and organized into (i) social, (ii) economic, (iii) environmental, and (iv) institutional dimensions using the typology of the Sustainable Development Goals (SDGs). This approach anchors the national statistical system’s performance around the essential data required to support the achievement of the 2030 global goals, and enables comparisons across countries so that a global view can be generated while enabling country specific emphasis to reflect the user needs of that country.;Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators);Weighted average;

Within a decade, starting from 2011 Russia is planning to spend roughly one and a half federal budget (22,000 billion roubles) on modernization of the country's military-industrial complex and a full-scale rearmament of the Armed Forces. The investments are supposed to improve both Russia's military capabilities, and Russia's economic performance. The main aim of the project was to investigate the potential effects on the overall Russian economy of the large defence outlays – in particular the ongoing rearmament program. The main finding was that while those who have rejected almost any positive effects on the overall economy of the high defence spending have been too dismissive, there is little to suggest that the defence industry will become a locomotive for the economy in the ways suggested by Russian officials. Data on the Russian population attitudes towards defense spending were collected, in addition to data on the Russian defense industry's production capacity and export of military equipment.

For further information about "Russias Defence Industry - An Engine for Economic Growth? 2017", please contact the principal investigator.

The Russian economy was awarded an average DB 2020 Ease of doing business score of ****, ranking 28th among 190 countries worldwide. The best performance was observed in getting electricity for businesses, scoring **** points. The lowest score was recorded in resolving insolvency at **** points.

Russia RU: SPI: Pillar 4 Data Sources Score: Scale 0-100 data was reported at 71.125 NA in 2023. This stayed constant from the previous number of 71.125 NA for 2022. Russia RU: SPI: Pillar 4 Data Sources Score: Scale 0-100 data is updated yearly, averaging 65.542 NA from Dec 2015 (Median) to 2023, with 9 observations. The data reached an all-time high of 71.125 NA in 2023 and a record low of 63.442 NA in 2020. Russia RU: SPI: Pillar 4 Data Sources Score: Scale 0-100 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Russian Federation – Table RU.World Bank.WDI: Governance: Policy and Institutions. The data sources overall score is a composity measure of whether countries have data available from the following sources: Censuses and surveys, administrative data, geospatial data, and private sector/citizen generated data. The data sources (input) pillar is segmented by four types of sources generated by (i) the statistical office (censuses and surveys), and sources accessed from elsewhere such as (ii) administrative data, (iii) geospatial data, and (iv) private sector data and citizen generated data. The appropriate balance between these source types will vary depending on a country’s institutional setting and the maturity of its statistical system. High scores should reflect the extent to which the sources being utilized enable the necessary statistical indicators to be generated. For example, a low score on environment statistics (in the data production pillar) may reflect a lack of use of (and low score for) geospatial data (in the data sources pillar). This type of linkage is inherent in the data cycle approach and can help highlight areas for investment required if country needs are to be met.;Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators);Weighted average;

Russia RU: GDP: % of Manufacturing: Medium and High Tech Industry data was reported at 25.635 % in 2019. This records an increase from the previous number of 24.603 % for 2018. Russia RU: GDP: % of Manufacturing: Medium and High Tech Industry data is updated yearly, averaging 26.939 % from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 35.258 % in 1994 and a record low of 21.883 % in 2006. Russia RU: GDP: % of Manufacturing: Medium and High Tech Industry data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Russian Federation – Table RU.World Bank.WDI: Gross Domestic Product: Share of GDP. The proportion of medium and high-tech industry value added in total value added of manufacturing; ; United Nations Industrial Development Organization (UNIDO), Competitive Industrial Performance (CIP) database; ;

This dataset includes the data on educational, scientific and research, international, financial and economic performance and public recognition of 93 Russian leading universities in the period 2015-2018. Leading universities refers to federal, national research and flagship universities, together with universities-participants of the Russian Academic Excellence Project (Project 5-100). These data were gathered from materials, published in the monitoring of higher education institutions performance, held by the Ministry of Science and Higher Education of the Russian Federation, Web of Science (citation-based research analytics tool InCites) and Scopus (citation-based research analytics tool SciVal) databases, materials from international ranking agencies QS, THE, ARWU and presented in Excel format. Researchers can use this dataset for socio-economic studies in comparative analysis of higher education system development level in different countries.

The USD/RUB exchange rate fell to 77.1688 on December 2, 2025, down 0.72% from the previous session. Over the past month, the Russian Ruble has strengthened 4.39%, and is up by 26.50% over the last 12 months. Russian Ruble - values, historical data, forecasts and news - updated on December of 2025.

The fastest growing economy in Europe in 2024 was Malta. The small Mediterranean country's gross domestic product grew at five percent in 2024, beating out Montenegro which had a growth rate of almost four percent and the Russian Federation which had a rate of 3.6 percent in the same year. Estonia was the country with the largest negative growth in 2024, as the Baltic country's economy shrank by 0.88 percent compared with 2023, largely as a result of the country's exposure to the economic effects of Russia's invasion of Ukraine and the subsequent economic sanctions placed on Russia. Germany, Europe's largest economy, experience economic stagnation with a growth of 0.1 percent. Overall, the EU (which contains 27 European countries) registered a growth rate of one percent and the Eurozone (which contains 20) grew by 0.8 percent.

The price of one euro reached approximately 102.16 Russian rubles on average in May 2025, having marked a decrease compared to the previous month. The exchange rate of the U.S. dollar to the Russian ruble also declined relative to April 2025.

Abstract

This research was conducted in Russian Federation between August 2011 and June 2012, as part of the fifth round of the Business Environment and Enterprise Performance Survey. The objective of the study is to obtain feedback from enterprises in client countries on the state of the private sector. The research is also used to build a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through face-to-face interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries.

In Russia, data from 4,220 establishments was analyzed. Stratified random sampling was used to select the surveyed businesses.

The survey topics include firm characteristics, information about sales and suppliers, competition, infrastructure services, judiciary and law enforcement collaboration, security, government policies, laws and regulations, financing, overall business environment, bribery, capacity utilization, performance and investment activities, and workforce composition.

In 2011, the innovation module was added to the standard set of Enterprise Surveys questionnaires to examine in detail how introduction of new products and practices influence firms' performance and management.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The manufacturing and services sectors are the primary business sectors of interest. This corresponds to firms classified with International Standard Industrial Classification of All Economic Activities (ISIC) codes 15-37, 45, 50-52, 55, 60-64, and 72 (ISIC Rev.3.1). Formal (registered) companies with five or more employees are targeted for interview. Services firms include construction, retail, wholesale, hotels, restaurants, transport, storage, communications, and IT. Firms with 100% government/state ownership are not eligible to participate in Enterprise Surveys.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for Russian Federation was selected using stratified random sampling technique. Three levels of stratification were used in Russia: industry, establishment size, and region.

Industry stratification was designed in the way that follows: the universe was stratified into eight manufacturing industries (food, wood and furniture, chemicals and plastics and rubber, non-metallic mineral products, fabricated metal products, machinery and equipment, electronics and precision instruments, and other manufacturing), and seven service industries (construction, wholesale, retail, hotels and restaurants, supporting transport activities, IT, and other services).

Size stratification was defined following the standardized definition for the rollout: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees). For stratification purposes, the number of employees was defined on the basis of reported permanent full-time workers. This seems to be an appropriate definition of the labor force since seasonal/casual/part-time employment is not a common practice, except in the sectors of construction and agriculture.

Regional stratification was defined in 37 regions (city and the surrounding business area) throughout Russia.

Given the stratified design, sample frames containing a complete and updated list of establishments for the selected regions were required. Great efforts were made to obtain the best source for these listings. However, the quality of the sample frames was not optimal and, therefore, some adjustments were needed to correct for the presence of ineligible units. These adjustments are reflected in the weights computation.

The Centre for Economic and Financial Research (CEFIR) at New Economic School was hired to implement the Russia 2012 Enterprise Survey. There were local subcontractors in each of the 37 regions surveyed. The sample frame used for the survey in Russia was from the Ruslana database.

The enumerated establishments were then used as the frame for the selection of a sample with the aim of obtaining interviews at 4,200 establishments with five or more employees.

The quality of the frame was assessed at the onset of the project. The frame proved to be useful though it showed positive rates of non-eligibility, repetition, non-existent units, etc. These problems are typical of establishment surveys, but given the impact these inaccuracies may have on the results, adjustments were needed when computing the appropriate weights for individual observations. The percentage of confirmed non-eligible units as a proportion of the total number of sampled establishments contacted for the survey was 38.16% (9,191 out of 24,083 establishments).

Mode of data collection

Face-to-face [f2f]

Research instrument

The following survey instruments are available: - Core Questionnaire + Manufacturing Module [ISIC Rev.3.1: 15-37] - Core Questionnaire + Retail Module [ISIC Rev.3.1: 52] - Core Questionnaire [ISIC Rev.3.1: 45, 50, 51, 55, 60-64, 72] - Innovation Module - Retail and Core - Innovation Module - Manufacturing
- Screener Questionnaire.

The "Core Questionnaire" is the heart of the Enterprise Survey and contains the survey questions asked of all firms across the world. There are also two other survey instruments - the "Core Questionnaire + Manufacturing Module" and the "Core Questionnaire + Retail Module." The survey is fielded via three instruments in order to not ask questions that are irrelevant to specific types of firms, e.g. a question that relates to production and nonproduction workers should not be asked of a retail firm. In addition to questions that are asked across countries, all surveys are customized and contain country-specific questions. An example of customization would be including tourism-related questions that are asked in certain countries when tourism is an existing or potential sector of economic growth.

The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country's business environment. The remaining questions assess the survey respondents' opinions on what are the obstacles to firm growth and performance.

The innovation module questionnaires were introduced in 2011. They cover such topics as product, process, marketing and organization innovations, research and development, acquisition of external knowledge and use of computers, protection of innovation, management practices, and interaction with the state and public-private partnerships.

Cleaning operations

Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.

Response rate

The number of realized interviews per contacted establishments was 0.56. This number is the result of two factors: explicit refusals to participate in the survey, as reflected by the rate of rejection (which includes rejections of the screener and the main survey) and the quality of the sample frame, as represented by the presence of ineligible units. The number of rejections per contact was 0.56.

Complete information regarding the sampling methodology, sample frame, weights, response rates, and implementation can be found in "Description of Russia ES Implementation 2012" in Technical Documents.

Discover the booming Russia ICT market! Explore a $38.95B industry with an 8.54% CAGR (2025-2033), driven by digitalization and e-commerce growth. Analyze key players, market segments, and future trends in this comprehensive report. Recent developments include: June 2024: VKontakte, a Russian social media company, revealed plans to construct a new data center in St. Petersburg. This expansion aims to enhance service performance and reliability for users and businesses, leveraging cloud technologies to manage computing power flexibly., February 2024: The Central Bank of Russia introduced the BRICS Bridge, a novel digital payment platform to provide an alternative to the US dollar. This initiative introduced an innovative digital platform for BRICS nations; it includes various financial recommendations and initiatives.. Key drivers for this market are: Growing E-Commerce and Digital Services, Government initiatives and Support. Potential restraints include: Growing E-Commerce and Digital Services, Government initiatives and Support. Notable trends are: Telecommunication Services are Driving the Russian ICT Market.

Since the beginning of the 21st century, the BRICS countries have been considered the five foremost developing economies in the world. Originally, the term BRIC was used by economists when talking about the emerging economies of Brazil, Russia, India, and China, however these countries have held annual summits since 2009, and the group has expanded to include South Africa since 2010. China has the largest GDP of the BRICS country, at 16.86 trillion U.S. dollars in 2021, while the others are all below three trillion. Combined, the BRICS bloc has a GDP over 25.85 trillion U.S. dollars in 2022, which is slightly more than the United States. BRICS economic development China has consistently been the largest economy of this bloc, and its rapid growth has seen it become the second largest economy in the world, behind the U.S.. China's growth has also been much faster than the other BRICS countries; for example, when compared with the second largest BRICS economy, its GDP was less than double the size of Brazil's in 2000, but is almost six times larger than India's in 2021. Since 2000, the country with the second largest GDP has fluctuated between Brazil, Russia, and India, due to a variety of factors, although India has held this position since 2015 (when the other two experienced recession), and it's growth rate is on track to surpass China's in the coming decade. South Africa has consistently had the smallest economy of the BRICS bloc, and it has just the third largest economy in Africa; its inclusion in this group is due to the fact that it is the most advanced and stable major economy in Africa, and it holds strategic importance due to the financial potential of the continent in the coming decades. Future developments It is predicted that China's GDP will overtake that of the U.S. by the end of the 2020s, to become the largest economy in the world, while some also estimate that India will also overtake the U.S. around the middle of the century. Additionally, the BRICS group is more than just an economic or trading bloc, and its New Development Bank was established in 2014 to invest in sustainable infrastructure and renewable energy across the globe. While relations between its members were often strained or of less significance in the 20th century, their current initiatives have given them a much greater international influence. The traditional great powers represented in the Group of Seven (G7) have seen their international power wane in recent decades, while BRICS countries have seen theirs grow, especially on a regional level. Today, the original BRIC countries combine with the Group of Seven (G7), to make up 11 of the world's 12 largest economies, but it is predicted that they will move further up on this list in the coming decades.

The Russia automotive lubricants market, while facing geopolitical challenges, presents a complex landscape with opportunities for growth. The market, estimated at approximately $X billion in 2025 (assuming a reasonable market size based on global automotive lubricant market trends and Russia's automotive sector), exhibits a modest Compound Annual Growth Rate (CAGR) of 1.00%. This relatively low CAGR reflects a combination of factors. While increased vehicle ownership and a growing commercial vehicle fleet are key drivers, economic sanctions and reduced production capacity stemming from geopolitical instability are significant restraints. The market is segmented by vehicle type (commercial vehicles, motorcycles, passenger vehicles) and product type (engine oils, greases, hydraulic fluids, transmission & gear oils). The dominance of specific product segments will likely vary based on the prevailing vehicle types in the Russian market, with engine oils expected to hold the largest share due to their essential nature. Major players like BP PLC (Castrol), Chevron, ExxonMobil, and Shell, alongside significant domestic players such as LUKOIL and Gazprom, compete intensely. The competitive landscape is likely to shift as international companies navigate sanctions and adapt their strategies to the changing market dynamics. Future growth will depend heavily on factors including the easing of geopolitical tensions, investment in infrastructure, and the performance of the Russian economy, including automotive manufacturing. The forecast period (2025-2033) anticipates continued but moderate expansion, influenced by government policies related to vehicle emissions and infrastructure development. Specific growth within segments will depend on evolving consumer preferences and technological advancements in lubricant formulations. The market will see increased emphasis on higher-performance, fuel-efficient lubricants, aligning with global trends towards environmentally conscious automotive solutions. The ongoing impact of sanctions and potential counter-measures from Russia will continue to be a critical factor determining the trajectory of this market's growth during the forecast period. A diversified product portfolio and a robust distribution network will be crucial for success in this dynamic and evolving market. Furthermore, localization strategies and partnerships with Russian businesses may be beneficial for international players. Recent developments include: January 2022: Effective April 1, ExxonMobil Corporation was organized along three business lines - ExxonMobil Upstream Company, ExxonMobil Product Solutions and ExxonMobil Low Carbon Solutions.September 2021: Lukoil Group and Daimler AG, one of the world's major automobile manufacturers, expanded their relationship in Lukoil lubricants' first fill supplies for the brand's premium passenger cars' engines. Low-viscosity Lukoil Genesis engine oil, developed by LLK-International (PJSC LUKOIL wholly owned subsidiary) for modern gasoline and diesel engines of the car manufacturer in compliance with one of its newest first fill standards, will be added to the product portfolio. In comparison to the previous generation, the new product delivered dependable engine protection and increased fuel economy.June 2021: TotalEnergies and Stellantis group renewed their partnership for cooperation across different segments. Along with the renewal of partnerships with Peugeot, Citroën, and DS Automobiles, the new collaboration extends to Opel, and Vauxhall as well. This partnership includes the development and innovation of lubricants, first-fill in Stellantis group vehicles, recommendation of Quartz lubricants, and shared usage of charging stations operated by TotalEnergies, among others.. Notable trends are: Largest Segment By Vehicle Type : Commercial Vehicles.