Belarus BY: GDP: % of Manufacturing: Food, Beverages and Tobacco data was reported at 23.177 % in 2021. This records a decrease from the previous number of 25.063 % for 2020. Belarus BY: GDP: % of Manufacturing: Food, Beverages and Tobacco data is updated yearly, averaging 25.000 % from Dec 2014 (Median) to 2021, with 8 observations. The data reached an all-time high of 46.522 % in 2014 and a record low of 22.486 % in 2018. Belarus BY: GDP: % of Manufacturing: Food, Beverages and Tobacco data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belarus – Table BY.World Bank.WDI: Gross Domestic Product: Share of GDP. Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division D. Food, beverages, and tobacco correspond to ISIC divisions 15 and 16.;United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.;;

This statistic shows the distribution of the gross domestic product (GDP) across economic sectors in Belarus from 2013 to 2023. In 2023, agriculture contributed around 7.25 percent to the GDP of Belarus, 32.54 percent came from the industry and 47.82 percent from the services sector.

Belarus BY: GDP: % of Manufacturing: Other Manufacturing data was reported at 54.606 % in 2021. This records a decrease from the previous number of 57.099 % for 2020. Belarus BY: GDP: % of Manufacturing: Other Manufacturing data is updated yearly, averaging 55.612 % from Dec 2014 (Median) to 2021, with 8 observations. The data reached an all-time high of 60.033 % in 2018 and a record low of 33.294 % in 2014. Belarus BY: GDP: % of Manufacturing: Other Manufacturing data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belarus – Table BY.World Bank.WDI: Gross Domestic Product: Share of GDP. Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division D. Other manufacturing, a residual, covers wood and related products (ISIC division 20), paper and related products (ISIC divisions 21 and 22), petroleum and related products (ISIC division 23), basic metals and mineral products (ISIC division27), fabricated metal products and professional goods (ISIC division 28), and other industries (ISIC divisions 25, 26, 31, 33, 36, and 37). Includes unallocated data. When data for textiles, machinery, or chemicals are shown as not available, they are included in other manufacturing.;United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.;;

Belarus BY: GDP: % of Manufacturing: Machinery and Transport Equipment data was reported at 14.573 % in 2021. This records an increase from the previous number of 9.732 % for 2020. Belarus BY: GDP: % of Manufacturing: Machinery and Transport Equipment data is updated yearly, averaging 9.980 % from Dec 2014 (Median) to 2021, with 8 observations. The data reached an all-time high of 14.573 % in 2021 and a record low of 8.808 % in 2018. Belarus BY: GDP: % of Manufacturing: Machinery and Transport Equipment data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belarus – Table BY.World Bank.WDI: Gross Domestic Product: Share of GDP. Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division D. Machinery and transport equipment correspond to ISIC divisions 29, 30, 32, 34, and 35.;United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.;;

The leading export destinations of Belarus were Russia and Ukraine. In total, Belarus exported goods worth approximately **** billion U.S. dollars to Russia in 2021. The Netherlands was the main export partner of Belarus in the European Union (EU).

With 1166,000 Businesses in Belarus , Techsalerator has access to the highest B2B count of Data/Business Data in the country.

Thanks to our unique tools and large data specialist team, we can select the ideal targeted dataset based on the unique elements such as sales volume of a company, the company's location, no. of employees etc...

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Our data covers all regions and cities in the country : ( example)

1. Minsk Minsk Capital (Мінск, Minsk) (Минск) 2 Barysaw Borisov (Барысаў, Barysaŭ) (Борисов) 3 Salihorsk Soligorsk (Салігорск, Salihorsk) (Солигорск) 4 Maladzyechna Molodechno (Маладзечна, Maladziečna) (Молодечно) 5 Zhodzina Zhodino (Жодзіна, Žodzina) (Жодино) 6 Slutsk Slutsk (Слуцк, Sluck) (Слуцк) 7 Vileyka Vileyka (Вілейка, Viliejka) (Вилейка) 8 Dzyarzhynsk Dzerzhinsk (Дзяржынск, Dziaržynsk) (Дзержинск) 9 Maryina Horka Mar’ina Gorka (Мар'іна Горка, Marjina Horka) (Марьина Горка) 10 Stowbtsy Stolbtsy (Стоўбцы, Stoŭbcy) (Столбцы) 11 Smalyavichy Smolevichi (Смалявічы, Smaliavičy) (Смолевичи) 12 Zaslawye Zaslavl’ (Заслаўе, Zaslaŭje) (Заславль) 13 Nyasvizh Nesvizh (Нясвіж, Niasviž) (Несвиж) 14 Fanipal Fanipol' (Фаніпаль, Fanipaĺ) (Фаниполь) 15 Byerazino Berezino (Беразіно, Bierazino) (Березино) 16 Lyuban Lyuban’ (Любань, Liubań) (Любань) 18 Staryya Darohi Staryye Dorogi (Старыя Дарогі, Staryja Darohi) (Старые Дороги) 19 Kletsk Kletsk (Клецк, Klieck) (Клецк) 17 Lahoysk Logoysk (Лагойск, Lahojsk) (Логойск) 20 Valozhyn Volozhin (Валожын, Valožyn) (Воложин) 21 Chervyen Cherven’ (Чэрвень, Červień) (Червень) 22 Kapyl Kopyl’ (Капыль, Kapyĺ) (Копыль) 23 Uzda Uzda (Узда, Uzda) (Узда) 24 Krupki Krupki (Крупкі, Krupki) (Крупки) 25 Myadzyel Myadel’ (Мядзел, Miadziel) (Мядель) Vitebsk Region
   1 Vitebsk Vitebsk (Віцебск, Viciebsk) (Витебск) 2 Orsha Orsha (Орша, Orša) (Орша) 3 Novopolotsk Novopolotsk (Наваполацк, Navapolack) (Новополоцк) 4 Polotsk Polotsk

Belarus BY: GDP: % of Manufacturing: Chemicals data was reported at 2.682 % in 2021. This records a decrease from the previous number of 2.775 % for 2020. Belarus BY: GDP: % of Manufacturing: Chemicals data is updated yearly, averaging 2.596 % from Dec 2014 (Median) to 2021, with 8 observations. The data reached an all-time high of 2.775 % in 2020 and a record low of 1.626 % in 2014. Belarus BY: GDP: % of Manufacturing: Chemicals data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belarus – Table BY.World Bank.WDI: Gross Domestic Product: Share of GDP. Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division D. Chemicals correspond to ISIC division 24.;United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.;;

Abstract

The objective of the survey is to obtain feedback from enterprises in client countries on the state of the private sector as well as to help in building 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 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.

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 mode of data collection is face-to-face interviews.

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 5 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 an Enterprise Survey.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for Belarus was selected using stratified random sampling. Three levels of stratification were used in this country: industry, establishment size, and oblast (region).

Industry stratification was designed in the way that follows: the universe was stratified into 23 manufacturing industries, 2 services industries -retail and IT-, and one residual sector. Each sector had a target of 120 interviews.

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 7 regions. These regions are Minskaya, Vitebskaya, Brestskaya, Mogilevskaya, Gomelskaya, Grodnenskaya, and Minsk.

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 source of the sample frame is from the Ministry of Statistics and Analyses and an electronic database "register-Belarus Enterprises-January 2008." 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 contacts to complete the survey was 16% (116 out of 1013 establishments).

Mode of data collection

Face-to-face [f2f]

Research instrument

The current 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] - 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.

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

Complete information regarding the sampling methodology, sample frame, weights, response rates, and implementation can be found in the document "Description of Belarus Implementation.pdf"

GlobalData’s 'The Insurance Industry in Belarus, Key Trends and Opportunities to 2020' report provides a detailed analysis of the Belarusian insurance industry. Read More

Live animals and animal products were the main export commodity of Belarus, with a total value of such goods exported exceeding 3.8 billion U.S. dollars in 2021. Non-precious metals and articles thereof followed with only a slightly lower export value.

Key information about Belarus Industrial Production Index Growth

• Belarus Industrial production rose 2.9 % YoY in Jan 2025, following an increase of 4.3 % YoY in the previous month.
• Belarus Industrial production index growth rate YoY data is updated monthly, available from Jan 2002 to Jan 2025, with an average rate of 5.5 %.
• The data reached an all-time high of 21.8 % in Sep 2004 and a record low of -12.2 % in Jul 2022.

Belarus BY: GDP: % of Manufacturing: Textiles and Clothing data was reported at 4.962 % in 2021. This records a decrease from the previous number of 5.331 % for 2020. Belarus BY: GDP: % of Manufacturing: Textiles and Clothing data is updated yearly, averaging 5.919 % from Dec 2014 (Median) to 2021, with 8 observations. The data reached an all-time high of 7.021 % in 2016 and a record low of 4.962 % in 2021. Belarus BY: GDP: % of Manufacturing: Textiles and Clothing data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belarus – Table BY.World Bank.WDI: Gross Domestic Product: Share of GDP. Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division D. Textiles and clothing correspond to ISIC divisions 17-19.;United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.;;

This chart offers an insightful look at the store count by category in Belarus. Leading the way is Home & Garden, with 256 stores, which is 23.34% of the total stores in the region. Next is Apparel, contributing 124 stores, or 11.30% of the region's total. Food & Drink also has a notable presence, with 86 stores, making up 7.84% of the store count in Belarus. This breakdown provides a clear picture of the diverse retail landscape in Belarus, showcasing the variety and scale of stores across different categories.

Belarus mainly imported non-precious metals and products thereof, which were worth about *** billion U.S. dollars in 2021. Ready food products, vinegar, tobacco, alcoholic and non-alcoholic products were the second-leading import commodity, with a value of around *** billion U.S. dollars.

Abstract

The survey was conducted in Belarus between October 2018 and April 2019 as joint project of the European Bank for Reconstruction and Development (EBRD), the European Investment Bank (EIB) and the World Bank Group (WBG).

The objective of the Enterprise Survey is to gain an understanding of what firms experience in the private sector. As part of its strategic goal of building a climate for investment, job creation, and sustainable growth, the World Bank has promoted improving the business environment as a key strategy for development, which has led to a systematic effort in collecting enterprise data across countries. The Enterprise Surveys (ES) are an ongoing World Bank project in collecting both objective data based on firms' experiences and enterprises' perception of the environment in which they operate.

Geographic coverage

National coverage

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

Belarus ES was based on the following size stratification: small (5 to 19 employees), medium (20 to 99 employees), and large (100 or more employees).

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for 2018 Belarus ES was selected using stratified random sampling, following the methodology explained in the Sampling Note.

Three levels of stratification were used in this country: industry, establishment size, and region.

Industry stratification was designed in the way that follows: the universe was stratified into three manufacturing industries and two services industries- Food and Beverages (ISIC Rev. 3.1 code 15), Garments (ISIC code 18), Other Manufacturing (ISIC codes 16-17 and 19-37), Retail (ISIC code 52) and Other Services (ISIC codes 45, 50, 51, 55, 60-64, and 72).

For the Belarus ES, size stratification was defined as follows: small (5 to 19 employees), medium (20 to 99 employees), and large (100 or more employees).

Regional stratification for the Belarus ES was done across seven regions: Minsk, Minskaya, Gomelskaya, Mogilevskaya, Brestskaya, Grodnenskaya, and Vitebskaya. For the purposes of achieving the thresholds for representativeness, the ES indicators are calculated with some regions combined. In particular, Brestskaya and Grodnenskaya are combined, and so are Gomelskaya and Mogilevskaya.

Note: Refer to Sampling Structure section in "The Belarus 2018 Enterprise Surveys Data Set" document for further details on sampling.

Mode of data collection

Face-to-face [f2f]

Research instrument

The structure of the data base reflects the fact that 2 different versions of the survey instrument were used for all registered establishments. Questionnaires have common questions (core module) and respectfully additional manufacturing- and services-specific questions. The eligible manufacturing industries have been surveyed using the Manufacturing questionnaire (includes the core module, plus manufacturing specific questions). Retail firms have been interviewed using the Services questionnaire (includes the core module plus retail specific questions) and the residual eligible services have been covered using the Services questionnaire (includes the core module). Each variation of the questionnaire is identified by the index variable, a0.

Response rate

Survey non-response must be differentiated from item non-response. The former refers to refusals to participate in the survey altogether whereas the latter refers to the refusals to answer some specific questions. Enterprise Surveys suffer from both problems and different strategies were used to address these issues.

Item non-response was addressed by two strategies: a- For sensitive questions that may generate negative reactions from the respondent, such as corruption or tax evasion, enumerators were instructed to collect the refusal to respond (-8) as a different option from don't know (-9).

b- Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary. However, there were clear cases of low response.

The number of interviews per contacted establishments was 40.0%.

In Belarus, the estimated sales amount across various store categories provides key insights into the market's dynamics. Apparel, as a prominent category, generates significant sales, totaling $269.79M, which is 0.48% of the region's total sales in this sector. Internet follows with robust sales figures, achieving $97.68M in sales and comprising 0.17% of the region's total. Sports contributes a considerable amount to the regional market, with sales of $67.61M, accounting for 0.12% of the total sales in Belarus. This breakdown highlights the varying economic impacts of different categories within the region, showcasing the diversity and strengths of each sector.

Belarus BY: Firm with Female Top Manager: % of Firms data was reported at 21.100 % in 2018. This records a decrease from the previous number of 32.200 % for 2013. Belarus BY: Firm with Female Top Manager: % of Firms data is updated yearly, averaging 24.800 % from Dec 2008 (Median) to 2018, with 3 observations. The data reached an all-time high of 32.200 % in 2013 and a record low of 21.100 % in 2018. Belarus BY: Firm with Female Top Manager: % of Firms data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belarus – Table BY.World Bank.WDI: Company Statistics. Firms with female top manager refers to the percentage of firms in the private sector who have females as top managers. Top manager refers to the highest ranking manager or CEO of the establishment. This person may be the owner if he/she works as the manager of the firm. The results are based on surveys of more than 100,000 private firms.;World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).;Unweighted average;Relevance to gender indicator: Women are vastly underrepresented in decision making positions at the top level in the private sector and this indicator monitors progress that has been made.

Abstract

This research was conducted in Belarus between July 2012 and August 2013, 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 360 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 Belarus was selected using stratified random sampling technique. Three levels of stratification were used in Belarus: industry, establishment size, and region.

Industry stratification was designed in the way that follows: the universe was stratified into one manufacturing industry, and two service industries (retail, 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 seven regions (city and the surrounding business area) throughout Belarus.

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.

IPSOS was hired to implement the Belarus 2013 enterprise survey. There were local subcontractors in each of the seven regions surveyed.

The sample frame used for the survey in Belarus was from the Registr Belarus Redakt database.

The enumerated establishments were then used as the frame for the selection of a sample with the aim of obtaining interviews at 360 establishments with five or more employees.

The quality of the frame was assessed at the onset of the project through visits to a random subset of firms and local contractor knowledge. The sample frame was not immune from the typical problems found in establishment surveys: positive rates of non-eligibility, repetition, non-existent units, etc. Given the impact that non-eligible units included in the sample universe may have on the results, adjustments may be 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 5.9% (48 out of 816 establishments).

In the database there are two establishment identifiers - idstd and id. The first is a global unique identifier. The second is a country unique identifier. The variables a2 (sampling region), a6a (sampling establishment's size), and a4a (sampling sector) contain the establishment's classification into the strata chosen for each country using information from the sample frame. Variable a4a coded using ISIC Rev 3.1 codes for the chosen industries for stratification. These codes include most manufacturing industries (15 to 37), retail (52), and (45, 50, 51, 55, 60-64, 72) for other services.

Mode of data collection

Face-to-face [f2f]

Research instrument

The structure of the data base reflects the fact that 3 different versions of the questionnaire were used. The basic questionnaire, the Core Module, includes all common questions asked to all establishments from all sectors. The second expanded variation, the Manufacturing Questionnaire, is built upon the Core Module and adds some specific questions relevant to manufacturing sectors. The third expanded variation, the Retail Questionnaire, is also built upon the Core Module and adds to the core specific questions relevant to retail firms. Each variation of the questionnaire is identified by the index variable, a0.

All variables are named using, first, the letter of each section and, second, the number of the variable within the section, i.e. a1 denotes section A, question 1. Variable names proceeded by a prefix "ECA" indicate questions specific to the Eastern Europe and Central Asia region, therefore, they may not be found in the implementation of the rollout in other countries. All other suffixed variables are global and are present in all country surveys over the world. All variables are numeric with the exception of those variables with an "x" at the end of their names. The suffix "x" denotes that the variable is alpha-numeric.

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 0.44. 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 0.46.

Complete information regarding the sampling methodology, sample frame, weights, response rates, and implementation can be found in "Description of Belarus ES Implementation 2013" in Related Materials.

The Belarusian lock and key market reduced to $171M in 2024, which is down by -10% against the previous year. Overall, consumption saw a relatively flat trend pattern. As a result, consumption attained the peak level of $226M. From 2017 to 2024, the growth of the market failed to regain momentum.

Belarus BY: Market Capitalization: Listed Domestic Companies data was reported at 1.239 USD bn in 2016. This records an increase from the previous number of 534.010 USD mn for 2015. Belarus BY: Market Capitalization: Listed Domestic Companies data is updated yearly, averaging 574.810 USD mn from Dec 2014 (Median) to 2016, with 3 observations. The data reached an all-time high of 1.239 USD bn in 2016 and a record low of 534.010 USD mn in 2015. Belarus BY: Market Capitalization: Listed Domestic Companies data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Belarus – Table BY.World Bank.WDI: Financial Sector. Market capitalization (also known as market value) is the share price times the number of shares outstanding (including their several classes) for listed domestic companies. Investment funds, unit trusts, and companies whose only business goal is to hold shares of other listed companies are excluded. Data are end of year values converted to U.S. dollars using corresponding year-end foreign exchange rates.;World Federation of Exchanges database.;Sum;Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.