Vietnam VN: GDP: % of GDP: Gross Value Added: Industry: Manufacturing data was reported at 15.278 % in 2017. This records an increase from the previous number of 14.266 % for 2016. Vietnam VN: GDP: % of GDP: Gross Value Added: Industry: Manufacturing data is updated yearly, averaging 16.485 % from Dec 1985 (Median) to 2017, with 33 observations. The data reached an all-time high of 22.371 % in 1986 and a record low of 12.256 % in 1990. Vietnam VN: GDP: % of GDP: Gross Value Added: Industry: Manufacturing data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Vietnam – Table VN.World Bank: Gross Domestic Product: Share of GDP. Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Note: For VAB countries, gross value added at factor cost is used as the denominator.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average; Note: Data for OECD countries are based on ISIC, revision 4.

Actual value and historical data chart for Vietnam Manufacturing Value Added Percent Of GDP

Abstract

This research was conducted in Vietnam between June 2009 and January 2010 as part of the Enterprise Survey initiative.

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 whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities sectors.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for Vietnam was selected using stratified random sampling. 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 6 manufacturing industries, 1 services industry -retail -, and two residual sectors. Each manufacturing industry had a target of 160 interviews. The services industry and the two residual sectors had a target of 120 interviews. For the manufacturing industries sample sizes were inflated by about 33% to account for potential non-response cases when requesting sensitive financial data and also because of likely attrition in future surveys that would affect the construction of a panel. An additional 85 interviews were added to the survey half way through the fieldwork. Targets were adjusted such that the manufacturing sectors' targets were increased to 160-180 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 five regions containing 14 provinces: Red River Delta (Hanoi, Ha Tay, Hai Duong, and Hai Phong), the North Centre Coast (Thanh Hoa, Nghe An), Mekong River Delta (Can Tho, Long An, Tien Giang), South Centre Coast (Khanh Hoa, Da Nang) and South East (Ho Chi Minh City, Binh Duong, Dong Nai).

Two frames were used for Vietnam. The sample frame containing fresh contacts used in the Vietnam was obtained from the 2008 Vietnam General Statistics Office. A frame containing firms that had participated in the 2005 survey constituted a second frame of panel contacts. Each database contained the following information: -Name of the firm -Location -Contact details -ISIC code -Number of employees.

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 23% (734 out of 3131 establishments). Breaking down by industry, the following numbers of establishments were surveyed: 15 (Food) - 127, 17 (Textiles) -120, 18 (Garments) - 120, 26 (Non-metallic mineral products) - 123, 28 (Metal & Fabrication) - 122, Other manufacturing - 196, Retail & IT - 128, Other services - 117.

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 "Description of Vietnam Implementation 2009" in "Technical Documents" folder.

Abstract

This survey was conducted in Vietnam between November 2014 and April 2016, as part of the Enterprise Survey project, an initiative of the World Bank. The objective of the survey is to obtain feedback from enterprises 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. Only registered businesses are surveyed in the Enterprise Survey.

Data from 996 establishments was analyzed. Stratified random sampling was used to select the surveyed businesses. The data was collected using face-to-face interviews.

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.

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 whole population, or universe of the study, is the non-agricultural economy. It comprises: all manufacturing sectors according to the group classification of ISIC Revision 3.1: (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities-sectors.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample was selected using stratified random sampling. 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 five manufacturing industries and two services industries: Food and Beverages (ISIC Rev. 3.1 code 15), Garments (ISIC code 18), Non-metallic mineral products (ISIC code 26), Fabricated metal products (ISIC code 28), Other Manufacturing (ISIC codes 16,17, 19-25, 27, 29-37), Retail (ISIC code 52) and Other Services (ISIC codes 45, 50, 51, 55, 60-64, and 72).

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 common practice, apart from the construction and agriculture sectors which are not included in the survey.

Regional stratification for the Vietnam ES was done across four regions: Red River Delta, North Central Area and Central Coastal Area, South East, and Mekong River Delta.

The sample frame consisted of listings of firms from two sources: First, for panel firms the list of 1053 firms from the Vietnam 2009 ES was used and second, for fresh firms (i.e., firms not covered in 2009), data from the General Statistics Office (GSO) of Vietnam was used.

The quality of the frame was enhanced by the verification process conducted by the contractor Mekong Economics. However, 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 7.3% (285 out of 3,889 establishments).

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.

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

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 "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.

Survey non-response was addressed by maximizing efforts to contact establishments that were initially selected for interview. Attempts were made to contact the establishment for interview at different times/days of the week before a replacement establishment (with similar strata characteristics) was suggested for interview. Survey non-response did occur but substitutions were made in order to potentially achieve strata-specific goals.

the number of interviews per contacted establishments was 0.26. 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 0.31.

Manufacturing, value added (constant LCU) in Vietnam was reported at 1.4816804243079E+15 LCU in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Vietnam - Manufacturing, value added (constant LCU) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Abstract

The World Bank Enterprise Survey (WBES) is a firm-level survey of a representative sample of an economy's private sector. The surveys cover a broad range of topics related to the business environment including access to finance, corruption, infrastructure, competition, and performance.

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

The universe of inference includes all formal (i.e., registered) private sector businesses (with at least 1% private ownership) and with at least five employees. In terms of sectoral criteria, all manufacturing businesses (ISIC Rev 4. codes 10-33) are eligible; for services businesses, those corresponding to the ISIC Rev 4 codes 41-43, 45-47, 49-53, 55-56, 58, 61-62, 69-75, 79, and 95 are included in the Enterprise Surveys. Cooperatives and collectives are excluded from the Enterprise Surveys. All eligible establishments must be registered with the registration agency. In the case of Viet Nam, the listing from the General Statistics Office of Vietnam, the 2021 Economic Census, was used. The registration agency is the Department of Planning and investment.

Kind of data

Sample survey data [ssd]

Sampling procedure

The WBES use stratified random sampling, where the population of establishments is first separated into non-overlapping groups, called strata, and then respondents are selected through simple random sampling from each stratum. The detailed methodology is provided in the Sampling Note (https://www.enterprisesurveys.org/content/dam/enterprisesurveys/documents/methodology/Sampling_Note-Consolidated-2-16-22.pdf). Stratified random sampling has several advantages over simple random sampling. In particular, it:

• produces unbiased estimates of the whole population or universe of inference, as well as at the levels of stratification
• ensures representativeness by including observations in all of those categories
• produces more precise estimates for a given sample size or budget allocation, and
• may reduce implementation costs by splitting the population into convenient subdivisions.

The WBES typically use three levels of stratification: industry classification, establishment size, and subnational region (used in combination). Starting in 2022, the WBES bases the industry classification on ISIC Rev. 4 (with earlier surveys using ISIC Rev. 3.1). For regional coverage within a country, the WBES has national coverage.

Note: Refer to Sampling Structure section in "The Viet Nam 2023 World Bank Enterprise Survey Implementation Report" for detailed methodology on sampling.

Mode of data collection

Face-to-face [f2f]

Research instrument

The standard WBES questionnaire covers several topics regarding the business environment and business performance. These topics include general firm characteristics, infrastructure, sales and supplies, management practices, competition, innovation, capacity, land and permits, finance, business-government relations, exposure to bribery, labor, and performance. Information about the general structure of the questionnaire is available in the Enterprise Surveys Manual and Guide (https://www.enterprisesurveys.org/content/dam/enterprisesurveys/documents/methodology/Enterprise-Surveys-Manual-and-Guide.pdf).

The questionnaire implemented in the Viet Nam 2023 WBES included additional questions tailored for the Business Ready Report covering infrastructure, trade, government regulations, finance, labor, and other topics.

Response rate

Overall survey response rate was 31.7%.

Vietnam VN: GDP: % of Manufacturing: Medium and High Tech Industry data was reported at 40.363 % in 2015. This stayed constant from the previous number of 40.363 % for 2014. Vietnam VN: GDP: % of Manufacturing: Medium and High Tech Industry data is updated yearly, averaging 21.858 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 40.363 % in 2015 and a record low of 20.540 % in 2011. Vietnam VN: 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 Vietnam – Table VN.World Bank: 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; ;

Vietnam VN: GDP: Real: Gross Value Added at Factor Cost: Industry: Manufacturing data was reported at 566,604,000.000 VND mn in 2017. This records an increase from the previous number of 495,283,000.000 VND mn for 2016. Vietnam VN: GDP: Real: Gross Value Added at Factor Cost: Industry: Manufacturing data is updated yearly, averaging 159,615,000.000 VND mn from Dec 1985 (Median) to 2017, with 33 observations. The data reached an all-time high of 566,604,000.000 VND mn in 2017 and a record low of 46,911,638.830 VND mn in 1985. Vietnam VN: GDP: Real: Gross Value Added at Factor Cost: Industry: Manufacturing data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Vietnam – Table VN.World Bank.WDI: Gross Domestic Product: Real. Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Data are in constant local currency.; ; World Bank national accounts data, and OECD National Accounts data files.; ; Note: Data for OECD countries are based on ISIC, revision 4.

Vietnam VN: GDP: USD: Gross Value Added at Factor Cost: Industry: Manufacturing data was reported at 34.202 USD bn in 2017. This records an increase from the previous number of 29.284 USD bn for 2016. Vietnam VN: GDP: USD: Gross Value Added at Factor Cost: Industry: Manufacturing data is updated yearly, averaging 7.173 USD bn from Dec 1985 (Median) to 2017, with 33 observations. The data reached an all-time high of 34.202 USD bn in 2017 and a record low of 793.176 USD mn in 1990. Vietnam VN: GDP: USD: Gross Value Added at Factor Cost: Industry: Manufacturing data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Vietnam – Table VN.World Bank.WDI: Gross Domestic Product: Nominal. Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Data are in current U.S. dollars.; ; World Bank national accounts data, and OECD National Accounts data files.; Gap-filled total; Note: Data for OECD countries are based on ISIC, revision 4.

Actual value and historical data chart for Vietnam Chemicals Percent Of Value Added In Manufacturing

Abstract

The Global Investment Competitiveness 2019 Survey was conducted June–November 2019 through 30-minute phone interviews in the primary business language(s) of the host economies. The survey captures the experiences and perceptions of MNE affiliates on global megatrends and investment climate factors in 10 middle-income countries (MICs): Brazil, China, India, Indonesia, Malaysia, Mexico, Nigeria, Thailand, Turkey, and Vietnam. The survey was administered to senior executives of foreign-owned firms. Information was collected on the companies’ general characteristics, the importance and effect of global megatrends on business operations, contribution to the host economy, and the importance of investment policy factors and operational obstacles they face. The survey was designed to generate results that are representative at the country level and comparable across countries.

More information: https://www.worldbank.org/en/topic/competitiveness/publication/global-investment-competitiveness-report-2019-2020

Geographic coverage

Brazil, China, India, Indonesia, Malaysia, Mexico, Nigeria, Thailand, Turkey, and Vietnam.

Analysis unit

Firm, affiliate of multinational company

Universe

Firms (affiliates of multinational company) in 10 middle-income countries (MICs): Brazil, China, India, Indonesia, Malaysia, Mexico, Nigeria, Thailand, Turkey, and Vietnam.

Kind of data

Sample survey data [ssd]

Sampling procedure

The survey represents experiences and perceptions of a representative sample of foreign-owned firms in each of 10 MICs: Brazil, China, India, Indonesia, Malaysia, Mexico, Nigeria, Thailand, Turkey, and Vietnam. Each country sample comprises roughly 250 foreign-owned firms with at least five employees. In each country, roughly 125 respondent firms operate in the manufacturing sector, and roughly 125 respondent firms operate in the services sector (see tables 1 and 2 in survey report provided as related documents). The only exception is Nigeria, where because of sampling frame limitations, the sample comprises 164 respon¬dents (55 manufacturing and 109 services). Thus, across the 10 target countries, more than 2,400 responses were collected.

Sampling frames comprising partially or fully foreign-owned businesses in the 10 MICs were constructed using commercially available and proprietary sources (Dunn & Bradstreet, Orbis/Bureau van Dijk, Sample Solutions, and others). The frames were de-duplicated and cleaned, and data quality was enhanced using standard sample framing and data manipulation techniques. In some sampling frames, all affiliates were contacted to reach the target sample size. In others, only select affiliates were contacted before the target was reached.

Sampling deviation

The only exception is Nigeria, where because of sampling frame limitations, the sample comprises 164 respon¬dents (55 manufacturing and 109 services). Thus, across the 10 target countries, more than 2,400 responses were collected.

Mode of data collection

Computer Assisted Telephone Interview [cati]

Response rate

The overall response rate for the survey was 9.3 percent. This response rate is consistent with the current expected range for phone-based business surveys. The main fieldwork of the survey leveraged lessons from empirical research in survey design and administration to implement the strategies described below to ensure high response rates.

Vietnam VN: GDP: Gross Value Added at Factor Cost: Industry: Manufacturing data was reported at 765,111,000.000 VND mn in 2017. This records an increase from the previous number of 642,338,000.000 VND mn for 2016. Vietnam VN: GDP: Gross Value Added at Factor Cost: Industry: Manufacturing data is updated yearly, averaging 94,621,000.000 VND mn from Dec 1985 (Median) to 2017, with 33 observations. The data reached an all-time high of 765,111,000.000 VND mn in 2017 and a record low of 24,000.000 VND mn in 1985. Vietnam VN: GDP: Gross Value Added at Factor Cost: Industry: Manufacturing data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Vietnam – Table VN.World Bank.WDI: Gross Domestic Product: Nominal. Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Data are in current local currency.; ; World Bank national accounts data, and OECD National Accounts data files.; ; Note: Data for OECD countries are based on ISIC, revision 4.

Abstract

The World Bank Group and the European Bank for Reconstruction and Development are implementing Business Environment and Enterprise Performance Surveys. Four rounds of the survey have been carried out so far (1999, 2002, 2005 and 2009). Furthermore, to set a benchmark for the transition countries, a survey of comparator countries was conducted in 2004-2005 covering Germany, Greece, Ireland, Portugal, South Korea, Spain and Vietnam. In Vietnam, 500 firms were surveyed.

The objective of BEEPS is to obtain feedback from enterprises in client countries on the state of the private sector. 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.

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

Geographic coverage

National

Kind of data

Sample survey data [ssd]

Sampling procedure

The BEEPS 2005 sample was drawn from the universe of firms in a broad range of economic activities. In each country, the sectoral composition of the sample in terms of manufacturing (including agro-processing) versus services (including commerce) was determined by their relative contribution to GDP.

The sample included quotas related to size, ownership, export orientation, and geographical location to ensure sufficient numbers of firms to conduct analysis of firms with certain characteristics.

Mode of data collection

Face-to-face [f2f]

Research instrument

The current survey instruments are available: - Screener and Main Questionnaires.

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

Abstract

The World Bank Water Survey of Vietnam surveyed 1,032 firms between May and December 2018 throughout Vietnam. The survey questionnaire is largely based on the World Bank Enterprise Surveys, however with an expanded focus on WSS service and quality added to specifically assess water sector challenges. The survey can be used to analyze the impact of water and energy sector constraints on firm performance within the country.

Geographic coverage

Firms were sampled throughout 4 regions: Red River Delta, North and South Central Coast, South East, and Mekong River Delta. Of these four regions, 18 provinces were selected. These included Hà N?i, B?c Ninh, H?i Phòng (Red River Delta); Thanh Hóa, Ngh? An, Ðà N?ng, Qu?ng Nam, Bình Ð?nh, Khánh Hòa (North and South Central Coast); Bình Duong, Ð?ng Nai, H? Chí Minh (South East); Long An, Ti?n Giang, An Giang, Kiên Giang, C?n Tho, Cà Mau (Mekong River Delta).

Analysis unit

Firm

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling design of the survey is characterized by the following characteristics: 1. Sampling frame is based on GSO's Enterprise Census 2017 2. The survey covers enterprises in 18 provinces including: Hà N?i, B?c Ninh, H?i Phòng (Red River Delta); Thanh Hóa, Ngh? An, Ðà N?ng, Qu?ng Nam, Bình Ð?nh, Khánh Hòa (North and South Central Coast); Bình Duong, Ð?ng Nai, H? Chí Minh (South East); Long An, Ti?n Giang, An Giang, Kiên Giang, C?n Tho, Cà Mau (Mekong River Delta). 3. Stratification is based on 3 dimensions: a. Region: Red River Delta, North and South Central Coast, South East and Mekong River Delta b. Main industry: Manufacturing of food products, All other manufacturing, Construction, and Services c. Labor size: Small (<= 19 employees); Medium (between 20 and 99 employees); Large (100 and above employees) 4. In each stratum, enterprises are chosen using a simple random process

Based on the sampling frame, sample drawings are implemented by randomly selecting enterprises independently in each stratum. Enterprises are sorted by a random number (generated with a seed) and keep the order of rankings. Interviews are prioritized on the enterprises with smallest orders.

Sampling deviation

1,032 enterprises were survived, 32 more than originally intended. Target sample sizes were reached in all 48 strata, with a surplus occurring in 22 strata.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The questionnaire is published in English and provided under the Documentation tab.

Vietnam VN: GDP: 2010 Price: USD: Gross Value Added at Factor Cost: Industry: Manufacturing data was reported at 30.441 USD bn in 2017. This records an increase from the previous number of 26.610 USD bn for 2016. Vietnam VN: GDP: 2010 Price: USD: Gross Value Added at Factor Cost: Industry: Manufacturing data is updated yearly, averaging 8.575 USD bn from Dec 1985 (Median) to 2017, with 33 observations. The data reached an all-time high of 30.441 USD bn in 2017 and a record low of 2.520 USD bn in 1985. Vietnam VN: GDP: 2010 Price: USD: Gross Value Added at Factor Cost: Industry: Manufacturing data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Vietnam – Table VN.World Bank.WDI: Gross Domestic Product: Real. Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Data are expressed constant 2010 U.S. dollars.; ; World Bank national accounts data, and OECD National Accounts data files.; Gap-filled total; Note: Data for OECD countries are based on ISIC, revision 4.

In 2024, India's manufacturing sector's GDP share was around ** percent. The share remained the same as compared to the last year and declined from ** percent in 2010. Value added is the net output of the manufacturing sector after adding all outputs and subtracting intermediate inputs. The manufacturing sector employs over ** million workers. Boosting manufacturing As global economies aim to reduce reliance on China or adopt a China-plus strategy, India has emerged as a potent alternative manufacturing hub. The Make in India initiative was launched to foster and strengthen India’s global manufacturing status by enhancing foreign direct investments, skill development, and updating manufacturing infrastructure. Under the Production Linked Incentive (PLI) Scheme, companies are incentivized to promote domestic production and enhance manufacturing competitiveness. Despite efforts, experts expressed doubts about the government’s ambition to raise the share of manufacturing to GDP to ** percent by 2025.
Hurdles for manufacturing As per the World Bank, India’s share in global trade has not kept pace with its rapidly growing economy. It is losing ground to countries like Bangladesh and Vietnam in key low-cost and low-skill manufacturing export sectors. Manufacturing productivity in India has remained low. and the availability of capital also remains an obstacle for the manufacturing sector. Inadequate investments in technology, infrastructure, and research and development (R&D) can also impact productivity growth. Other factors include regulatory compliance burdens, complex labor laws, red tape, and inefficient supply chains.

Actual value and historical data chart for Vietnam Textiles And Clothing Percent Of Value Added In Manufacturing

Vietnam VN: GDP: % of GDP: Gross Value Added: Industry data was reported at 33.339 % in 2017. This records an increase from the previous number of 32.715 % for 2016. Vietnam VN: GDP: % of GDP: Gross Value Added: Industry data is updated yearly, averaging 32.715 % from Dec 1985 (Median) to 2017, with 33 observations. The data reached an all-time high of 40.209 % in 2004 and a record low of 22.674 % in 1990. Vietnam VN: GDP: % of GDP: Gross Value Added: Industry data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Vietnam – Table VN.World Bank.WDI: Gross Domestic Product: Share of GDP. Industry corresponds to ISIC divisions 10-45 and includes manufacturing (ISIC divisions 15-37). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3 or 4.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted average; Note: Data for OECD countries are based on ISIC, revision 4.

Vietnam VN: CO2 Emissions from Manufacturing Industries and Construction: % of Total Fuel Combustion data was reported at 33.752 % in 2014. This records a decrease from the previous number of 34.279 % for 2013. Vietnam VN: CO2 Emissions from Manufacturing Industries and Construction: % of Total Fuel Combustion data is updated yearly, averaging 33.847 % from Dec 1971 (Median) to 2014, with 44 observations. The data reached an all-time high of 41.739 % in 1984 and a record low of 0.000 % in 1974. Vietnam VN: CO2 Emissions from Manufacturing Industries and Construction: % of Total Fuel Combustion data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Vietnam – Table VN.World Bank.WDI: Environment: Pollution. CO2 emissions from manufacturing industries and construction contains the emissions from combustion of fuels in industry. The IPCC Source/Sink Category 1 A 2 includes these emissions. However, in the 1996 IPCC Guidelines, the IPCC category also includes emissions from industry autoproducers that generate electricity and/or heat. The IEA data are not collected in a way that allows the energy consumption to be split by specific end-use and therefore, autoproducers are shown as a separate item (Unallocated Autoproducers). Manufacturing industries and construction also includes emissions from coke inputs into blast furnaces, which may be reported either in the transformation sector, the industry sector or the separate IPCC Source/Sink Category 2, Industrial Processes.; ; IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/; Weighted average; Restricted use: Please contact the International Energy Agency for third-party use of these data.

Vietnam VN: GDP: Real: Gross Value Added at Factor Cost: Industry data was reported at 1,141,369,000.000 VND mn in 2017. This records an increase from the previous number of 1,056,808,000.000 VND mn for 2016. Vietnam VN: GDP: Real: Gross Value Added at Factor Cost: Industry data is updated yearly, averaging 433,122,000.000 VND mn from Dec 1985 (Median) to 2017, with 33 observations. The data reached an all-time high of 1,141,369,000.000 VND mn in 2017 and a record low of 108,657,130.213 VND mn in 1985. Vietnam VN: GDP: Real: Gross Value Added at Factor Cost: Industry data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Vietnam – Table VN.World Bank.WDI: Gross Domestic Product: Real. Industry corresponds to ISIC divisions 10-45 and includes manufacturing (ISIC divisions 15-37). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3. Data are in constant local currency.; ; World Bank national accounts data, and OECD National Accounts data files.; ; Note: Data for OECD countries are based on ISIC, revision 4.