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 sources and data compilation methods

To produce the required data outputs, a statistical office collects and transforms basic data from the institutional units—corporations, government units, households and non-profit institutions serving households—in their roles as producers, consumers and investors, income earners, etc. There are two basic mechanisms for collecting economic data: (a) securing access to data already being collected for administrative purposes and (b) direct survey by the statistical office. In either case, however, the original providers of the data are the same, namely, the institutional units, and the original sources of the data are the same, namely, the records kept by these units.

English Spanish, Chinese, Russian, Arabic

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