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Classification systems and production
of economic statistics
| Enterprises |
Composed of production units (establishments). |
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Generally the statistics are collected
near the establishment, except for the financial statistics
which are generally available for the business (enterprise)
as a whole. |
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The establishments are classified according
to the North American Industry Classification System
(NAICS) 1997. This classification was developed
by Canada, the United States and Mexico. Consequently,
it support the comparison of the data (with 5 digits)
between these countries. Certain sectors are not yet
harmonized (wholesale, construction, finance, public
administration). |
| employ |
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| Workers |
The various professions are classified
according to the Standard Occupational Classification
. Most recent is that of 1991. |
| to offer |
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| Products |
Products are divided into goods and
services. |
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The goods offered (outputs) or
used (inputs) are classified according to the Standard
Classification of Goods (SCG with 8 digits), which
is an extension of an international classification
system, the Harmonized System (HS with 6 digits).
Concordance tables make it possible to compile the
data on imports and exports according to the Harmonized
System. |
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Currently, a classification of the
services is under development with Statistics
Canada. |
| consumed within |
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| Space |
The territory is usually classified
using Québec's Geographical Code (compatible
with the Canadian Standard Geographical Classification
of 1996). The coding base is the municipality. The
code then makes it possible to organize the municipalities
in Regional County Municipalities (RCM), Québec's
Administrative Regions or another geographical groupings.
Certain information is produced on much finer levels,
for Geomatics applications for example. |
| and within |
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| Time |
For certain information, it is important
to have time series. The frequency of production varies:
monthly, quarterly, annually, etc. |
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The monthly data reflect the seasonal
character of certain industries. Certain techniques
are used to remove the seasonal variation. One speaks
then about Seasonally Adjusted Data. |
Update: March 30, 1999
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