Cost of living in Toronto for low-income households

The City of Toronto monitors the affordability of food annually using the Nutritious Food Basket (NFB) costing tool. Food prices increased considerably in 2022. People with low incomes do not have enough money to cover the cost of basic expenses, including food. As such, NFB data is best viewed in relation to income, alongside other local basic expenses.

The dataset describes the affordability of food and other basic expenses relative to income for nine household scenarios.

Scenarios were selected to reflect household characteristics that increase the risk of being food insecure, including reliance on social assistance as the main source of income, single-parent households, and rental housing. A median income scenario has also been included as a comparator. Income, including federal and provincial tax benefits, and the cost of four basic living expenses - shelter, food, childcare, and transportation - are estimated for each scenario. Results show the amount of money remaining at the end of the month for each household. Three versions of the scenarios were created to describe:

Income scenarios with subsidies: Subsidies can substantially reduce a households’ monthly expenses. Local subsidies for rent (Rent-Geared-to-Income), childcare (Childcare Fee Subsidy), and transit (Fair Pass) are accounted for in this file. Income scenarios without subsidies + average rent: In this file, rental costs are based on average rent, as measured by the Canadian Mortgage and Housing Corporation (CMHC). Income scenarios without subsidies + market rent: Rental costs are based on average market rent (as of June 2022), as measured by the Toronto Regional Real Estate Board (TRREB). Limitations Scenarios describe estimated values only, rounded to the nearest dollar. Income is estimated using a May/June 2022 reference period to align with Nutritious Food Basket data collection. Thus, tax year 2020 has been utilized in calculations. Income amounts include all entitlements available to Ontario residents; therefore, they are maximum amounts. Actual income amounts may be lower if residents do not file their income tax and/or do not apply for all available tax credits.

Datasets available for download

Additional Info

Field Value
Last Updated April 18, 2024, 17:01 (UTC)
Created November 1, 2023, 03:47 (UTC)
Domain / Topic
Domain or topic of the dataset being cataloged.
Housing
Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
.csv - text/csv, .xlsx - application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
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.
2023-05-09
Time Period Data Span (start date)
Start date of the data in the dataset.
2022-01-01
Time Period Data Span (end date)
End date of time data in the dataset.
2022-12-31
GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
Toronto
Field Value
Access category
Type of access granted for the dataset (open, closed, service, etc).
Open
Limits on use
Limits on use of data.
This dataset is released under City of Toronto's Open Government Licence. For specific details, check: https://open.toronto.ca/open-data-license/
Location
Location of the dataset.
https://open.toronto.ca/dataset/cost-of-living-in-toronto-for-low-income-households/
Data Service
Data service for accessing a dataset.
Owner
Owner of the dataset.
City of Toronto
Contact Point
Who to contact regarding access?
PRSO@toronto.ca
Publisher
Publisher of the dataset.
Social Development, Finance & Administration
Publisher Email
Email of the publisher.
PRSO@toronto.ca
Author
Author of the dataset.
Social Development, Finance & Administration
Author Email
Email of the author.
Social Development, Finance & Administration
Accessed At
Date the data and metadata was accessed.
2023-10-31
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://open.toronto.ca/dataset/cost-of-living-in-toronto-for-low-income-households/
Persistent Identifier
Data is identified by a persistent identifier.
Yes
Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
No
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?
No
Contains Indigenous Data
Does the data hold data about Indigenous communities?
N/A
Field Value
Version
Version of the datatset
2023-10-29
Source
Source of the dataset.
https://open.toronto.ca/dataset/cost-of-living-in-toronto-for-low-income-households/
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.
Monthly
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.
Toronto
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.
22
Number of data columns
If tabular dataset, total number of unique columns.
11
Number of data cells
If tabular dataset, total number of cells with data.
242
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.
0% of cells are missing
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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