Electric Vehicles in Ontario – By Forward Sortation Area Q3 2022

This dataset details the total number of electric vehicles (EVs) in Ontario. This includes both battery-electric vehicles (BEVs) and plug-in hybrid electric vehicles (PHEVs) for Q3 2022. Data includes: 1. Total EVs by Forward Sortation Area (FSA) (the first three characters of the postal code) of the vehicle’s registered address 2. Number of BEVs by FSA of the vehicle’s registered address 3. Number of PHEVs by FSA of the vehicle’s registered address

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Additional Info

Field Value
Last Updated April 18, 2024, 17:01 (UTC)
Created March 8, 2023, 20:35 (UTC)
Domain / Topic
Domain or topic of the dataset being cataloged.
Transportation
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.
2022-11-15
Time Period Data Span (start date)
Start date of the data in the dataset.
2022-07-01
Time Period Data Span (end date)
End date of time data in the dataset.
2022-09-30
GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
Ontario
fair_rda_a1_02d Yes
fair_rda_a1_03d No
fair_rda_a1_04d Yes
fair_rda_a1_05d Yes
fair_rda_a1_1_01d Yes
fair_rda_a1_2_01d No
fair_rda_i1_01d Yes
fair_rda_i1_02d Yes
fair_rda_i2_01d
fair_rda_i3_01d
fair_rda_r1_3_01d Yes
Field Value
Access category
Type of access granted for the dataset (open, closed, service, etc).
Open
Limits on use
Limits on use of data.
Open Government Licence – Ontario
Location
Location of the dataset.
Data Service
Data service for accessing a dataset.
Owner
Owner of the dataset.
Contact Point
Who to contact regarding access?
Publisher
Publisher of the dataset.
Publisher Email
Email of the publisher.
Author
Author of the dataset.
Emerging Technologies Office
Author Email
Email of the author.
mto.smart.mobility@ontario.ca
Accessed At
Date the data and metadata was accessed.
Field Value
Identifier
Unique identifier for the dataset.
Language
Language(s) of the dataset
English
Link to dataset description
A URL to an external document describing the dataset.
https://data.ontario.ca/dataset/electric-vehicles-in-ontario-by-forward-sortation-area/resource/2a2bcaa8-8314-4e4e-bc24-dfbccaf03657
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?
Yes
Contains data about identifiable individuals
Does the data hold identifiable data about individual?
Yes
Contains Indigenous Data
Does the data hold data about Indigenous communities?
N/A
Field Value
Source
Source of the dataset.
https://data.ontario.ca/dataset/electric-vehicles-in-ontario-by-forward-sortation-area/resource/2a2bcaa8-8314-4e4e-bc24-dfbccaf03657
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.
Field Value
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.
Field Value
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.
Machine readable
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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