Commodity Sector Estimates (NAICS 3, 4, 5 and 6 Digits - Commodity Codes 7 Digits) for Canada and Alberta (2008 - 2009)
Datasets available for download
Additional Info
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| Last Updated | June 10, 2025, 15:09 (UTC) |
| Created | June 10, 2025, 08:53 (UTC) |
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Domain / Topic
Domain or topic of the dataset being cataloged.
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Business and Industry |
| Description
A description of the dataset.
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(StatCan Product) Customization details: This information product has been customized to present information on commodity sector estimates for Alberta and Canada for 2008 (Revised) and 2009 (Preliminary). Other variables include: NAICS Code Commodity Code NAICS and Commodity Description Number of Establishments Total Revenue Revenue from Goods Manufactured (Financial Data) Revenue from Goods Manufactured (Commodity Data) Total Expenses Total Salaries and Wages (Direct and Indirect Labour), Production Workers Wages (Direct Labour) Non-manufacturing Employees Salaries (Indirect Labour) Total Cost of Energy, Water Utility and Vehicle Fuel Cost of Energy and Water Utility Cost of Vehicle Fuel Cost of Materials and Supplies Total Number of Employees (Direct and Indirect Labour) Number of Production Workers (Direct Labour) Number of Manufacturing Employees (Indirect Labour) Total Opening Inventories Opening Inventories - Goods or Work in Progress Opening Inventories - Finished Goods Manufactured Total Closing Inventories Closing Inventories - Goods/Work in Progress Closing Inventories - Finished Goods Manufactured Manufacturing Value Added For more information about the industries and commodity codes presented contactOSI.Support@gov.ab.ca Annual Survey of Manufactures and Logging The Annual Survey of Manufactures and Logging (ASML) is a survey of the manufacturing and logging industries in Canada. It is intended to cover all establishments primarily engaged in manufacturing and logging activities, as well as the sales offices and warehouses which support these establishments. The details collected include principal industrial statistics (such as revenue, employment, salaries and wages, cost of materials and supplies used, cost of energy and water utility, inventories, etc.), as well as information about the commodities produced and consumed. Data collected by the Annual Survey of Manufactures and Logging are important because they help measure the production of Canada's industrial and primary resource sectors, as well as provide an indication of the well-being of each industry covered by the survey and its contribution to the Canadian economy. Within Statistics Canada, the data are used by the Canadian System of National Accounts, the Monthly Survey of Manufacturing (record number 2101) and Prices programs. The data are also used by the business community, trade associations, federal and provincial departments, as well as international organizations and associations to profile the manufacturing and logging industries, undertake market studies, forecast demand and develop trade and tariff policies. Product Main Page |
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Keywords/tags categorizing the dataset.
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Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
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Dataset Size
Dataset size in megabytes.
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Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
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Published Date
Published date of the dataset.
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Time Period Data Span (start date)
Start date of the data in the dataset.
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2008-01-01 00:00:00 |
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Time Period Data Span (end date)
End date of time data in the dataset.
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2009-12-31 00:00:00 |
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GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
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Access category
Type of access granted for the dataset (open, closed, service, etc).
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unrestricted |
| License
License used to access the dataset.
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Open Government Licence - Alberta |
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Limits on use
Limits on use of data.
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Location
Location of the dataset.
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https://open.alberta.ca/opendata/commodity-sector-estimates-for-canada-and-alberta-2008-2009 |
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Data Service
Data service for accessing a dataset.
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Owner
Owner of the dataset.
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Treasury Board and Finance |
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Contact Point
Who to contact regarding access?
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osi.support@gov.ab.ca |
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Contact Point Email
The email to contact regarding access?
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osi.support@gov.ab.ca |
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Publisher
Publisher of the dataset.
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Publisher Email
Email of the publisher.
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| Author
Author of the dataset.
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| Author Email
Email of the author.
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Accessed At
Date the data and metadata was accessed.
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Identifier
Unique identifier for the dataset.
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Language
Language(s) of the dataset
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English |
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Link to dataset description
A URL to an external document describing the dataset.
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Persistent Identifier
Data is identified by a persistent identifier.
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Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
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Contains data about individuals
Does the data hold data about individuals?
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Contains data about identifiable individuals
Does the data hold identifiable data about individual?
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Contains Indigenous Data
Does the data hold data about Indigenous communities?
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Version notes
Version notes about the dataset.
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Is version of another dataset
Link to dataset that it is a version of.
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Other versions
Link to datasets that are versions of it.
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Provenance Text
Provenance Text of the data.
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Provenance URL
Provenance URL of the data.
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Temporal resolution
Describes how granular the date/time data in the dataset is.
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GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
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GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
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Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
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Community Permission
Community permission (who gave permission).
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The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
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Number of data rows
If tabular dataset, total number of rows.
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Number of data columns
If tabular dataset, total number of unique columns.
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Number of data cells
If tabular dataset, total number of cells with data.
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Number of data relations
If RDF dataset, total number of triples.
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Number of entities
If RDF dataset, total number of entities.
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Number of data properties
If RDF dataset, total number of unique properties used by the triples.
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Data quality
Describes the quality of the data in the dataset.
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Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.
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