Licensing status for child care businesses, Canada, 2022

Target population The target population for this survey includes all child care locations in Canada with an annual revenue of at least $2,500 per year. To identify these units, the sampling frame was built by taking locations coded to North American Industry Classification System (NAICS) 624410 (Child day-care services) on the Business Register in addition to providers matched from licensed provincial and territorial lists, whose primary activity may not fall under NAICS 624410. All units with revenue less than $2,500 were excluded from the frame.

Instrument design The questionnaire was developed by Statistics Canada in partnership with Employment and Social Development Canada (ESDC). Statistics Canada conducted cognitive testing with selected respondents and made recommendations that were implemented to finalize the questionnaire. Data will be collected electronically.

Sampling This is a sample survey with a cross-sectional design.

The sampling frame is extracted from Statistics Canada's Business Register (BR). The sampling unit is the location, as defined in the Business Register.

Sampling unit The sampling units are all home-based licensed, home-based unlicensed and centre-based child care locations in Canada.

Stratification method Units were stratified into three groups: Centres, Licensed Homes and Unlicensed Homes. These three strata were further stratified into eleven regions, consisting of the ten provinces and the territories combined into one region.

Centres on the frame that were identified as having a particularly large number of employees on the Business Register formed their own stratum where all locations within it were selected in the sample with certainty.

Sampling and sub-sampling The total sample size was set at 20,000 units, and units were allocated to ensure similar quality across regions and balance among the estimation domains. The total sample is allocated at the strata level in order to meet the required precision when estimating proportions for the three types of services at the provincial level.

Datasets available for download

Additional Info

Field Value
Last Updated August 20, 2024, 02:30 (UTC)
Created July 29, 2024, 06:58 (UTC)
Domain / Topic
Domain or topic of the dataset being cataloged.
Social Services
Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
.csv - text/csv
Dataset Size
Dataset size in megabytes.
0.564563
Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
https://www150.statcan.gc.ca/n1/en/tbl/csv/42100041-eng.zip?st=CWi4XafJ
Published Date
Published date of the dataset.
2023-03-30
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.
2022-01-01
GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
Canada
Field Value
Access category
Type of access granted for the dataset (open, closed, service, etc).
Open
Limits on use
Limits on use of data.
Statistics Canada Open Licence Agreement
Location
Location of the dataset.
https://www150.statcan.gc.ca/n1/tbl/csv/42100041-eng.zip
Data Service
Data service for accessing a dataset.
CKAN
Owner
Owner of the dataset.
Statistics Canada
Contact Point
Who to contact regarding access?
infostats@statcan.gc.ca
Publisher
Publisher of the dataset.
Statistics Canada
Publisher Email
Email of the publisher.
infostats@statcan.gc.ca
Author
Author of the dataset.
Statistics Canada
Author Email
Email of the author.
infostats@statcan.gc.ca
Accessed At
Date the data and metadata was accessed.
2024-07-29
Field Value
Identifier
Unique identifier for the dataset.
https://www150.statcan.gc.ca/n1/tbl/csv/42100041-eng.zip
Language
Language(s) of the dataset
English
Link to dataset description
A URL to an external document describing the dataset.
https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=4210004103&geocode=A000011124
Persistent Identifier
Data is identified by a persistent identifier.
Yes
Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
Yes
Contains data about individuals
Does the data hold data about individuals?
No
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?
No
Field Value
Version
Version of the datatset
Last Updated Date: 2024-07-29
Source
Source of the dataset.
https://www150.statcan.gc.ca/n1/tbl/csv/42100041-eng.zip
Version notes
Version notes about the dataset.
Updated frequency: occasional
Is version of another dataset
Link to dataset that it is a version of.
No
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.
Annually
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.
Centres
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.
402
Number of data columns
If tabular dataset, total number of unique columns.
16
Number of data cells
If tabular dataset, total number of cells with data.
6432
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.
804
Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.
Missing Data

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