1887

International recommendations for industrial statistics 2008

image of International recommendations for industrial statistics 2008

The present publication is a component of the United Nations Statistics Division initiative for strengthening countries methodological and operational foundation for industrial statistics. Although this publication makes recommendations for industrial statistics, many elements of its recommendations, like those for the definition and delineation of statistical units and its guidance on a data-collection strategy and data compilation practices, are generally applicable to the development of an integrated economic statistics system for business statistics in general, with a view to collecting, compiling and reporting basic economic data across economic activities, in the most cost-efficient manner, consistent with macroeconomic statistics. This publication is designed to provide a comprehensive methodological framework for the collection and reporting of industrial statistics in all countries, irrespective of the level of development of their statistical systems.

English Russian, Spanish, Chinese, Arabic

.

Data items and their definitions

The present chapter provides summary definitions of data items of industrial statistics recommended for collection and publication, together with definitions of additional data items derived from the basic system. Some of the data items may not exist or they may be of minor importance for certain economies. Compilers are encouraged to use the list of data items as a reference in order to develop a list of data items in accordance with their own statistical circumstances, respondent load and available resources and, after having determined the data items to be placed on that list should use the definitions presented consistently.

English Chinese, Russian, Arabic, Spanish

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error