Quality Assurance
Revolutionary technology has been deployed to capture data directly from source and refresh it instantly, which ensures the information presented on this dashboard is always accurate and up to date.
We are not the direct authors or owners of the data used in this dashboard, however we collate and reproduce data published by various recognised and trusted sources (see list above), either in its entirety or as an extract. Through our quality checking processes we make all reasonable efforts to ensure accuracy. If you spot any errors, or have any concerns with the accuracy of the data used for this dashboard please contact us.
Experimental Data
The 4 main sections of this dashboard (Economic; Employment & Earnings; Health & Safety; and Training & Education) use data sets where the term "Construction" (or similar) has been pre-defined and cannot be "broken down" any further.
These standard definitions do not fully reflect the true extent of the industry, therefore, where data is available at a more detailed level, we have taken an experimental approach to estimating the scale of the industry by "re-weighting" the available data, based on two different methodologies.
This first methodology, titled CLF's Expanded Definition of Construction Industry, takes SIC codes that CLF identify as being in some way part of the Construction Industry, and applies a weighting based on an estimated level of input. This was based on Scottish Enterprise's weightings method, however SE's original list has been expanded to ensure alignment across SIC codes at all levels.
The second method, titled CLF's Definition of Construction Industry Reach, takes in industries identified as being in, or significantly influenced by, the construction industry (as identified through a CLF research project on SIC codes). Industries have been included if they were identified as "fully" or "partially" allocated, and corresponding figures have been given a 100% weighting for this methodology.
Full list of SIC codes and applied weightings for each methodology