id,name,description,createdAt,updatedAt,datasetId,additionalInfo,link,dataPublishedBy 17581,"Manufacturing value added as a proportion of GDP (%) (UN SDG, 2019)","{""link"": ""https://unstats.un.org/sdgs/indicators/database/"", ""retrievedDate"": ""15-November-19"", ""additionalInfo"": ""Last updated: March 2019 \n\n \n \nGoal 9: Build resilient infrastructure, promote inclusive and sustainable industrialization and foster \ninnovation \nTarget 9.2: Promote inclusive and sustainable industrialization and, by 2030, significantly raise industry's \nshare of employment and gross domestic product, in line with national circumstances, and double its \nshare in least developed countries \nIndicator 9.2.1: Manufacturing value added as a proportion of GDP and per capita \n \nInstitutional information \n\n \nOrganization(s): \nUnited Nations Industrial Development Organization (UNIDO) \n \nConcepts and definitions \n\n \nDefinition: \nManufacturing value added (MVA) as a proportion of gross domestic product (GDP) is a ratio between \nMVA and GDP, both reported in constant 2010 USD. \n \nMVA per capita is calculated by dividing MVA in constant 2010 USD by population of a country or area. \n \nRationale: \nMVA is a well-recognized and widely used indicator by researchers and policy makers to assess the level \nof industrialization of a country. The share of MVA in GDP reflects the role of manufacturing in the \neconomy and a country’s national development in general. MVA per capita is the basic indicator of a \ncountry’s level of industrialization adjusted for the size of the economy. One of the statistical uses of \nMVA per capita is classifying country groups according to the stage of industrial development. \n \nConcepts: \nThe gross value added measures the contribution to the economy of each individual producer, industry or \nsector in a country. The gross value added generated by any unit engaged in production activity can be \ncalculated as the residual of the units’ total output less intermediate consumption, goods and services \nused up in the process of producing the output, or as the sum of the factor incomes generated by the \nproduction process (System of National Accounts 2008). Manufacturing refers to industries belonging to \nthe sector C defined by International Standard Industrial Classification of All Economic Activities (ISIC) \nRevision 4, or D defined by ISIC Revision 3. \n \nGDP represents the sum of gross value added from all institutional units resident in the economy. For the \npurpose on comparability over time and across countries MVA and GDP are estimated in terms of \nconstant prices in USD. The current series are given at constant prices of 2010. \n \nComments and limitations: \nDifferences may appear due to different versions of System of National Accounts (SNA) or ISIC revisions \nused by countries. \n \n\n \n\n\fLast updated: March 2019 \n\n \n \nMethodology \n\n \nComputation Method: \nMVA proportion to GDP = MVA/GDP*100. \nMVA per capita = MVA/population \n \nDisaggregation: \nNo disaggregation available. \n \nTreatment of missing values: \n\n• At country level \n\nBoudt, Todorov, Upadhyaya (2009): Nowcasting manufacturing value added for cross-country \ncomparison; Statistical Journal of IAOS \n \n\n• At regional and global levels \n\nNo imputation used. \n\n \nRegional aggregates: \nRegional, global aggregation of direct summation of country values within the country groups. \n \nSources of discrepancies: \nMinor differences may arise due to 1) exchange rates for conversion to USD 2) different base years used \nfor constant price data 3) methods for recent period estimation and 4) different versions of SNA and ISIC \nrevisions used by countries. \n \nMethods and guidance available to countries for the compilation of the data at the national level: \nInternational Recommendations for Industrial Statistics (IRIS) 2008 \nhttps://unstats.un.org/unsd/publication/seriesM/seriesm_90e.pdf \n \nSystem of National Accounts (SNA) 2008 \nhttps://unstats.un.org/unsd/publication/seriesf/SeriesF_2Rev5e.pdf \n \nInternational Standard Industrial Classification of All Economic Activities (ISIC) \nhttps://unstats.un.org/unsd/cr/registry/regcst.asp?Cl=27 \n \nQuality assurance \nUNIDO (2009), UNIDO Data Quality: A quality assurance framework for UNIDO statistical activities \nhttps://open.unido.org/api/documents/4814740/download/UNIDO-Publication-2009-4814740 \n \nData Sources \n\n \nDescription: \nUNIDO maintains MVA database. Figures for updates are obtained from national account estimates \nproduced by UN Statistics Division (UNSD) and from official publications. \n \nCollection process: \n\n \n\n\fLast updated: March 2019 \n\n \n \nThe MVA and GDP country data are collected through a national accounts questionnaire (NAQ) sent by \nUNSD. More information on the methodology is available on \nhttps://unstats.un.org/unsd/snaama/methodology.pdf. \n \nMissing or inconsistent values are verified with national sources and World Development Indicators \n(WDI). The preference is given to the data from national sources. \n \nPopulation data are obtained from UN DESA Population Division. More information on the methodology \nis available on \nhttps://esa.un.org/unpd/wpp/Publications/Files/WPP2015_Methodology.pdf. \n \nData Availability \n\n \nDescription: \nFor more than 200 economies \n \nTime series: \nData for this indicator are available as of 2000 in the UN Global SDG Database, but longer time series are \navailable in the UNIDO MVA database. \n \nCalendar \n\n \nData collection: \nData collection is carried out by receiving data electronically throughout the year. \n \nData release: \nUNIDO MVA database is updated between March and April every year. \n \nData providers \n\n \nUnited Nations Statistics Division (UNSD) and official publications \n \nUNSD from national statistical offices (NSOs) \n \nData compilers \n\n \nUnited Nations Industrial Development Organization (UNIDO) \n \nReferences \n\n \nURL: \n\n \n\n\fLast updated: March 2019 \n\n \n \n \nwww.unido.org/statistics \nhttps://unstats.un.org/unsd/snaama/methodology.pdf \nhttps://esa.un.org/unpd/wpp/Publications/Files/WPP2015_Methodology.pdf \n \nReferences: \n \nInternational Yearbook of Industrial Statistics; UNIDO \nInternational Standard Industrial Classification of All Economic Activities 2008 \nSystem of National Accounts 2008 \n\n \n\n\f"", ""dataPublishedBy"": ""United Nations Statistics Division"", ""dataPublisherSource"": null}",2019-11-15 20:26:34,2019-11-15 20:26:34,4850,"Last updated: March 2019 Goal 9: Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation Target 9.2: Promote inclusive and sustainable industrialization and, by 2030, significantly raise industry's share of employment and gross domestic product, in line with national circumstances, and double its share in least developed countries Indicator 9.2.1: Manufacturing value added as a proportion of GDP and per capita Institutional information Organization(s): United Nations Industrial Development Organization (UNIDO) Concepts and definitions Definition: Manufacturing value added (MVA) as a proportion of gross domestic product (GDP) is a ratio between MVA and GDP, both reported in constant 2010 USD. MVA per capita is calculated by dividing MVA in constant 2010 USD by population of a country or area. Rationale: MVA is a well-recognized and widely used indicator by researchers and policy makers to assess the level of industrialization of a country. The share of MVA in GDP reflects the role of manufacturing in the economy and a country’s national development in general. MVA per capita is the basic indicator of a country’s level of industrialization adjusted for the size of the economy. One of the statistical uses of MVA per capita is classifying country groups according to the stage of industrial development. Concepts: The gross value added measures the contribution to the economy of each individual producer, industry or sector in a country. The gross value added generated by any unit engaged in production activity can be calculated as the residual of the units’ total output less intermediate consumption, goods and services used up in the process of producing the output, or as the sum of the factor incomes generated by the production process (System of National Accounts 2008). Manufacturing refers to industries belonging to the sector C defined by International Standard Industrial Classification of All Economic Activities (ISIC) Revision 4, or D defined by ISIC Revision 3. GDP represents the sum of gross value added from all institutional units resident in the economy. For the purpose on comparability over time and across countries MVA and GDP are estimated in terms of constant prices in USD. The current series are given at constant prices of 2010. Comments and limitations: Differences may appear due to different versions of System of National Accounts (SNA) or ISIC revisions used by countries. Last updated: March 2019 Methodology Computation Method: MVA proportion to GDP = MVA/GDP*100. MVA per capita = MVA/population Disaggregation: No disaggregation available. Treatment of missing values: • At country level Boudt, Todorov, Upadhyaya (2009): Nowcasting manufacturing value added for cross-country comparison; Statistical Journal of IAOS • At regional and global levels No imputation used. Regional aggregates: Regional, global aggregation of direct summation of country values within the country groups. Sources of discrepancies: Minor differences may arise due to 1) exchange rates for conversion to USD 2) different base years used for constant price data 3) methods for recent period estimation and 4) different versions of SNA and ISIC revisions used by countries. Methods and guidance available to countries for the compilation of the data at the national level: International Recommendations for Industrial Statistics (IRIS) 2008 https://unstats.un.org/unsd/publication/seriesM/seriesm_90e.pdf System of National Accounts (SNA) 2008 https://unstats.un.org/unsd/publication/seriesf/SeriesF_2Rev5e.pdf International Standard Industrial Classification of All Economic Activities (ISIC) https://unstats.un.org/unsd/cr/registry/regcst.asp?Cl=27 Quality assurance UNIDO (2009), UNIDO Data Quality: A quality assurance framework for UNIDO statistical activities https://open.unido.org/api/documents/4814740/download/UNIDO-Publication-2009-4814740 Data Sources Description: UNIDO maintains MVA database. Figures for updates are obtained from national account estimates produced by UN Statistics Division (UNSD) and from official publications. Collection process: Last updated: March 2019 The MVA and GDP country data are collected through a national accounts questionnaire (NAQ) sent by UNSD. More information on the methodology is available on https://unstats.un.org/unsd/snaama/methodology.pdf. Missing or inconsistent values are verified with national sources and World Development Indicators (WDI). The preference is given to the data from national sources. Population data are obtained from UN DESA Population Division. More information on the methodology is available on https://esa.un.org/unpd/wpp/Publications/Files/WPP2015_Methodology.pdf. Data Availability Description: For more than 200 economies Time series: Data for this indicator are available as of 2000 in the UN Global SDG Database, but longer time series are available in the UNIDO MVA database. Calendar Data collection: Data collection is carried out by receiving data electronically throughout the year. Data release: UNIDO MVA database is updated between March and April every year. Data providers United Nations Statistics Division (UNSD) and official publications UNSD from national statistical offices (NSOs) Data compilers United Nations Industrial Development Organization (UNIDO) References URL: Last updated: March 2019 www.unido.org/statistics https://unstats.un.org/unsd/snaama/methodology.pdf https://esa.un.org/unpd/wpp/Publications/Files/WPP2015_Methodology.pdf References: International Yearbook of Industrial Statistics; UNIDO International Standard Industrial Classification of All Economic Activities 2008 System of National Accounts 2008 ",https://unstats.un.org/sdgs/indicators/database/,United Nations Statistics Division