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The source wrote (citation):
The previously published industrial production indices had 2010 as base year. This means that the weights of the different aggregation levels corresponded to values calculated based on the year 2010. These indices were published with reference year 2010 = 100.
In March 2018, these indices (since 2000) were recalculated to comply as much as possible with Eurostat's recommendations in terms of volume indices: weights as close as possible to the reference year coupled with chain-linking.
The weights used for this index are the values added at factor cost from the Structural Business Survey.
Indices from the year 2013 onwards have also been recalculated based on microdata in order to correct some errors discovered over time.
In response, we have archived the predecessors (2010=100, January 2000 to December 2018) by renaming with an "_10" specifier, by marking metadata as discontinued, and by segregating in the catalog. The one-for-one replacements (2015=100) start at February 2017 and have standardized mnemonics. There are two parallel presentations: seasonally adjusted (SA) or not (NSA). The classification is NACE Rev. 2; scope is B (mining), C (manufacture), D (electricity supply), and E (water supply); there are single branches, MIG aggregates, and special aggregates.
The active series reside in the historical catalog (Belgium » Industry » Industrial production index » 2015=100) and the predecessors under the associated "discontinued" node. They include, for example:
- IPI13_14_10UM.IBEL = [DISCONTINUED] Industrial production index: Manufacture of textiles and wearing apparel, (Index 2010=100, NSA)
- IPI13_14UM.IBEL = Manufacture of textiles and wearing apparel, (Index 2015=100, NSA)
- IPIMQAM.IBEL = Mining and quarrying [B], (Index 2015=100, SA)
- IPI11UM.IBEL = Manufacture of beverages, (Index 2015=100, NSA)
- IPICNDUM.IBEL = MIG non-durable consumer goods, (Index 2015=100, NSA)
Because catalog locations are subject to change, the upper-right search box on DataBuffet.com provides a "find in catalog" mode that accepts a mnemonic.
Please be aware that
Because we have standardized the mnemonics of both the predecessor and replacement series, you will need to reconstruct your legacy retrievals. To extend history, you will need to splice the two versions of the dataset; this is facilitated by the parallel mnemonics.
References
See also
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