Superintendent's list of financial institutions offering locked-in pension products [2021 to current]
All banks, credit unions, trust companies and insurance companies offering LIRAs, LIFs and LRIFs to customers must be on the Superintendent’s List of Financial Institutions offering locked-in pension products, in order to accept transfers of locked-in funds.
NOTE: This list is updated regularly. Please ensure you are using the CURRENT list for up-to-date information. Past issues of the list are kept for informational and comparison purposes only. There may be institutions that have applied to appear on this list but whose application was still being processed at the time this list was updated. Please contact the office of the Superintendent of Pensions to verify the status of any financial institution with respect to this list.
Datasets available for download
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[CURRENT] - September 2, 2025PDF
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[SUPERSEDED] - June 17, 2025PDF
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[SUPERSEDED] - May 1, 2025PDF
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[SUPERSEDED] - February 13, 2025PDF
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[SUPERSEDED] - January 2, 2025PDF
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[SUPERSEDED] - October 1, 2024PDF
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[SUPERSEDED] - July 15, 2024PDF
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[SUPERSEDED] - May 10, 2024PDF
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[SUPERSEDED] - February 1, 2024PDF
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[SUPERSEDED] - December 1, 2023PDF
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[SUPERSEDED] - October 19, 2023PDF
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[SUPERSEDED] - October 6, 2023PDF
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[SUPERSEDED] - July 4, 2023PDF
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[SUPERSEDED] - March 15, 2023PDF
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[SUPERSEDED] - February 1, 2023PDF
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[SUPERSEDED] - December 15, 2022PDF
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[SUPERSEDED] - November 15, 2022PDF
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[SUPERSEDED] - October 3, 2022PDF
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[SUPERSEDED] - August 16, 2022PDF
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[SUPERSEDED] - July 25, 2022PDF
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[SUPERSEDED] - July 8, 2022PDF
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[SUPERSEDED] - May 27, 2022PDF
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[SUPERSEDED] - May 9, 2022PDF
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[SUPERSEDED] - March 10, 2022PDF
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[SUPERSEDED] - October 26, 2021 PDF
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[SUPERSEDED] - July 23, 2021 PDF
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[SUPERSEDED] - February 01, 2021PDF
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SEE ALSO: Issues of Superintendent's list of...URI
Additional Info
| Field | Value |
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| Last Updated | October 20, 2025, 00:35 (UTC) |
| Created | October 20, 2025, 00:35 (UTC) |
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Domain / Topic
Domain or topic of the dataset being cataloged.
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Economy and Finance |
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Title
Title for the Dataset.
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Superintendent's list of financial institutions offering locked-in pension products [2021 to current] |
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Description
A description of the dataset.
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All banks, credit unions, trust companies and insurance companies offering LIRAs, LIFs and LRIFs to customers must be on the Superintendent’s List of Financial Institutions offering locked-in pension products, in order to accept transfers of locked-in funds. NOTE: This list is updated regularly. Please ensure you are using the CURRENT list for up-to-date information. Past issues of the list are kept for informational and comparison purposes only. There may be institutions that have applied to appear on this list but whose application was still being processed at the time this list was updated. Please contact the office of the Superintendent of Pensions to verify the status of any financial institution with respect to this list. |
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Tags / Keywords
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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Time Period Data Span (end date)
End date of time data in the dataset.
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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 |
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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/publications/financial-institutions-offering-locked-in-pension-products |
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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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Treasury Board and Finance. Superintendent of Pensions. |
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Contact Point Email
The email to contact regarding access?
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Publisher
Publisher of the dataset.
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Publisher Email
Email of the publisher.
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[email protected] |
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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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Portal Type
Platform type of the source portal.
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Version
Version of the datatset
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None |
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Source
Source of the dataset.
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None |
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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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