Files
Полное описание
Условное обозначениеST/ESA/STAT/SER.M/90
ЗаглавиеInternational recommendations for industrial statistics 2008
ДоступEnglish: IRIS_2008_En - PDF ; Español: seriesm_90s - PDF ; Français: seriesm_90f - PDF ; Русский: seriesm_90r - PDF ; العربية: seriesm_90a - PDF ; 中文: seriesm_90c - PDF ;
Резюме
The International Recommendations for Industrial Statistics 2008 (IRIS 2008) provides a comprehensive methodological framework for collection and reporting of industrial statistics in all countries, irrespective of level of development of their statistical systems. Part I of the publication comprise international recommendations on industrial statistics relating to statistical units, characteristics of statistical units, data items and their definitions and the data items for international reporting. Part II of the publication contains guidance for implementation of the international recommendations and relate to performance indicators, data sources and data compilation methods, data-collection strategy, data quality and metadata, and dissemination of industrial statistics. IRIS 2008 are consistent with System of National Accounts 2008 and also harmonized with recommendation in other fields of economic statistics such as distributive trade, construction, and other related domains of structural and short-term statistics.
АвторыUN. Statistics Division
ДатаNew York : UN, 2009
Описание
x, 157 p. : charts, tables
Примечания
Annexes (p. 145-154): 1. Economic activities in terms of the International Standard Industrial Classification of All Economic Activities, Revision 4, within the scope of industrial statistics -- 2. Identifying the principal activity of a statistical unit using the top-down method.
At head of title: Department of Economic and Social Affairs, Statistics Division.
Includes bibliographical references (p. 155-157).
Available also at UN Statistics Division website (viewed 16 Nov. 2010).
At head of title: Department of Economic and Social Affairs, Statistics Division.
Includes bibliographical references (p. 155-157).
Available also at UN Statistics Division website (viewed 16 Nov. 2010).
ISBN / ISSN
9789211615111
В продаже под No.08.XVII.8