Count Yourself In Workforce Survey
Datasets available for download
Additional Info
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| Last Updated | October 4, 2024, 04:48 (UTC) |
| Created | October 4, 2024, 02:38 (UTC) |
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Domain / Topic
Domain or topic of the dataset being cataloged.
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City government,Business |
| Description
A description of the dataset.
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The following data was collected through the City's Count Yourself In (CYI) Workforce survey between 2013 and 2021. The CYI Survey invites employees to voluntarily disclose how they self-identify based on questions related to Indigenous identity, Black Identity, gender, race/ethnicity, sexual orientation and if they identify as a person with a disability. The data has been reported in aggregate formats that do not allow for the identification of individual employees. The data displays the diversity within the workforce at the City of Toronto. The goal of the survey is to track progress towards realizing the City's Motto "Diversity Our Strength", and to continuously monitor and socialize diversity data across the City, in order to help inform decision-making and address gaps in representation across all levels at the City. |
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Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
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.xlsx - application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
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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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2020-09-18 |
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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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| License
License used to access the dataset.
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License not specified |
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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.toronto.ca/dataset/count-yourself-in-workforce-survey |
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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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People & Equity, Equity & Diversity, Diversity@toronto.ca |
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Contact Point
Who to contact regarding access?
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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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Diversity@toronto.ca |
| Author
Author of the dataset.
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Diversity@toronto.ca |
| Author Email
Email of the author.
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Diversity@toronto.ca |
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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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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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Source
Source of the dataset.
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https://www.toronto.ca/legdocs/mmis/2019/ex/bgrd/backgroundfile-137175.pdf |
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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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