Domestic Trade, Finance and Construction

The dataset titled "Domestic Trade, Finance and Construction" falls under the domain of Economy. It is owned and published by Natural Resources Canada, with the publisher and author's contact being geoinfo@nrcan.gc.ca. The dataset was first published on January 1, 1957, and it is tagged with keywords such as Economics and Industry, Housing Potential, construction industry, domestic trade, finance, insurance, retail trade, trade, and wholesale trade. The dataset's source is provided, and it is licensed under the Open Government Licence - Canada.

The dataset provides a comprehensive description of employment and related patterns for leading service sectors, compiled from the 1951 Census. It includes six condensed maps showing various aspects of wholesale and retail trade, construction, and the fire, insurance, and real estate industries. The dataset offers four resources for download: English and French versions of the dataset in both JPG and PDF formats. The metadata for this dataset was created on October 1, 2024, and last modified on April 8, 2025.

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Champ Valeur
Dernière modification avril 10, 2025, 17:40 (TU)
Créé le octobre 1, 2024, 06:26 (TU)
Domain / Topic
Domain or topic of the dataset being cataloged.
Economy
Description
A description of the dataset.

Contained within the 3rd Edition (1957) of the Atlas of Canada is a map that shows a map of six condensed maps of employment and related patterns for the leading service sectors as compiled from the 1951 Census. There are two maps referring to wholesale trade. One of them shows the distribution of the labour force engaged in wholesale trade. This is shown by a dot pattern using one dot for every 200 people of this labour force, and using proportional symbols for all places employing 2 000 or more. The other wholesale trade map shows percentage of net value of sales from wholesale trade in each census division. There are two similar maps of retail trade. One, showing the distribution of labour force, uses the same mapping procedure as that of wholesale trade. The second map shows retail trade as a percentage of net value of sales for each census division. The fifth map shows the distribution of the construction labour force, using the same mapping concepts as for the wholesale trade map. There is an associated pie chart showing the types of construction this labour force engages in. The sixth map shows the distribution of labour force in the fire, insurance and real estate industries, again using the mapping concepts used for the wholesale trade map. This map is accompanied by a pie chart showing employment in the various industries of this group (such as in banking).

Mots-clés
Keywords/tags categorizing the dataset.
Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
Dataset Size
Dataset size in megabytes.
Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
Published Date
Published date of the dataset.
1957-01-01
Time Period Data Span (start date)
Start date of the data in the dataset.
Time Period Data Span (end date)
End date of time data in the dataset.
GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
Champ Valeur
Access category
Type of access granted for the dataset (open, closed, service, etc).
Licence
License used to access the dataset.
Open Government Licence - Canada
Limits on use
Limits on use of data.
Location
Location of the dataset.
Data Service
Data service for accessing a dataset.
Owner
Owner of the dataset.
Natural Resources Canada | Ressources naturelles Canada
Contact Point
Who to contact regarding access?
Contact Point Email
The email to contact regarding access?
Publisher
Publisher of the dataset.
Publisher Email
Email of the publisher.
geoinfo@nrcan.gc.ca
Courriel de l'auteur
Email of the author.
geoinfo@nrcan.gc.ca
Accessed At
Date the data and metadata was accessed.
Champ Valeur
Identifier
Unique identifier for the dataset.
Langue
Language(s) of the dataset
Link to dataset description
A URL to an external document describing the dataset.
Persistent Identifier
Data is identified by a persistent identifier.
N/A
Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
N/A
Contains data about individuals
Does the data hold data about individuals?
N/A
Contains data about identifiable individuals
Does the data hold identifiable data about individual?
N/A
Contains Indigenous Data
Does the data hold data about Indigenous communities?
N/A
Champ Valeur
Source
Source of the dataset.
https://open.canada.ca/data/en/dataset/10fe38cd-6cb0-5819-9a60-15ac3d42bc51
Version notes
Version notes about the dataset.
Is version of another dataset
Link to dataset that it is a version of.
Other versions
Link to datasets that are versions of it.
Provenance Text
Provenance Text of the data.
Provenance URL
Provenance URL of the data.
Temporal resolution
Describes how granular the date/time data in the dataset is.
GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
Champ Valeur
Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
Community Permission
Community permission (who gave permission).
The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
Champ Valeur
Number of data rows
If tabular dataset, total number of rows.
Number of data columns
If tabular dataset, total number of unique columns.
Number of data cells
If tabular dataset, total number of cells with data.
Number of data relations
If RDF dataset, total number of triples.
Number of entities
If RDF dataset, total number of entities.
Number of data properties
If RDF dataset, total number of unique properties used by the triples.
Data quality
Describes the quality of the data in the dataset.
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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