Demolition and Replacement of Rental Housing Units

This dataset contains information pertaining to projects that have been approved since January 1, 2018 for the demolition and replacement of six or more rental units, including affordable, mid-range and high-end units. 1. List only encompasses non-delegated RH applications proposing the demolition or conversion of 6 or more existing rental units and were approved by Toronto City Council after January 1, 2018 2. Approval dates for RH applications with 6 or more rental units are the dates on which applications were approved and adopted by City Council. 3. Affordable Rent is defined as "Housing where the total monthly shelter costs are at or below one times Average Market Rent by unit type, as reported by CMHC"; Mid-Range Rent is "Housing where the total monthly shelter costs exceed Affordable Rent but fall below one and one-half times Average Market Rent by unit type, as reported by CMHC"; and High-End Rent is "Housing where the total monthly shelter costs exceed Mid-Range Rents"

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Additional Info

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Last Updated October 4, 2024, 03:11 (UTC)
Created November 1, 2023, 03:23 (UTC)
Domain / Topic
Domain or topic of the dataset being cataloged.
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.
2023-03-17
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.
Field Value
Access category
Type of access granted for the dataset (open, closed, service, etc).
Limits on use
Limits on use of data.
Location
Location of the dataset.
https://open.toronto.ca/dataset/demolition-and-replacement-of-rental-housing-units
Data Service
Data service for accessing a dataset.
Owner
Owner of the dataset.
City Planning, Policy, housingplan@toronto.ca
Contact Point
Who to contact regarding access?
Publisher
Publisher of the dataset.
Publisher Email
Email of the publisher.
housingplan@toronto.ca
Author
Author of the dataset.
housingplan@toronto.ca
Author Email
Email of the author.
housingplan@toronto.ca
Accessed At
Date the data and metadata was accessed.
Field Value
Identifier
Unique identifier for the dataset.
Language
Language(s) of the dataset
Link to dataset description
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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
Field Value
Version notes
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Is version of another dataset
Link to dataset that it is a version of.
Other versions
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Provenance Text
Provenance Text of the data.
Provenance URL
Provenance URL of the data.
Temporal resolution
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GeoSpatial resolution in meters
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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.
This dataset is retired. Its Data Quality Score will not be calculated. The last recorded Data Quality Score was 91.2% (Gold) on 2024-10-01T19:55:45.
Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.
Data Quality is provided by the City of Toronto

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