Premature mortality by BOTH SEXES, three-year period, Hamilton health region and peer group

Premature and potentially avoidable mortality, three-year period, Canada, provinces, territories, health regions and peer groups Frequency: Occasional
Table: 13-10-0743-01 (formerly CANSIM 102-4315) Release date: 2018-08-22
Geography: Canada, Province or territory, Health region, Local health integration network, Public health unit

Footnotes: 1 Sources: Statistics Canada, Canadian Vital Statistics, Death Database and Demography Division (population estimates). The table 13-10-0743-01 is an update of table 13-10-0412-01. This is because of the adoption of the 2015 version of the Health Region Geography. For more information, consult Statistics Canada's publication Health Regions: Boundaries and Correspondence with Census Geography" (catalogue number 82-402-X)." 2 Mortality is the death rate, which can be measured as total mortality (all causes of death combined) or by selected cause of death. All counts and rates are calculated using the total population (all age groups). 3 Potential years of life lost (PYLL) is the number of years of potential life not lived when a person dies prematurely" defined for this indicator as before age 75. All counts and rates in this table are calculated using the population aged 0 to 74." 4 Counts and rates in this table are based on three consecutive years of death data. Rates are per 100,000 population and were calculated by dividing the counts by three consecutive years of population data. 5 Rates are age-standardized using the direct method and the 2011 Canadian Census population structure. The use of a standard population results in more meaningful rate comparisons because it adjusts for variations in population age distributions over time and across geographic areas. 6 Counts and rates in this table exclude: deaths of non-residents of Canada; deaths of residents of Canada whose province or territory of residence was unknown; deaths for which age of decedent was unknown. 7 Rates in this table are based on place of residence for indicators derived from death events. 8 The number of deaths in Ontario for 2016 is considered preliminary. 9 Health regions are administrative areas defined by provincial ministries of health according to provincial legislation. The health regions presented in this table are based on boundaries and names in effect as of December 2017. For complete Canadian coverage, each northern territory represents a health region. 10 Peer groups are aggregations of health regions that share similar socio-economic and demographic characteristics, based on data from the 2011 Census of Population and 2011 National Household Survey. These are useful in the analysis of health regions, where important differences may be detected by comparing health regions within a peer group. The nine peer groups are identified by the letters A through I, which are appended to the health region 4-digit code. Caution should be taken when comparing data for the Peer Groups over time due to changes in the Peer Groups. In an analysis involving the peer groups, only one level of geography in Ontario should be used. For more information on the peer groups classification, consult Statistics Canada's publication Health Regions: Boundaries and Correspondence with Census Geography" (catalogue number 82-402-X)." 11 Before 2010, missing data on sex of the deceased were imputed based on death registration number. Starting with 2010 data year, missing data on sex of the deceased were imputed based on the cause of death information and a logistic regression. 12 The cause of death tabulated is the underlying cause of death. This is defined as (a) the disease or injury which initiated the train of events leading directly to death, or (b) the circumstances of the accident or violence which produced the fatal injury. The underlying cause is selected from the conditions listed on the medical certificate of cause of death. 13 Confidence intervals for age-standardized rates for selected causes of death data were produced using the Spiegelman method. Source: Spiegelman, M., Introduction to Demography" Revised Edition 14 Confidence intervals for crude rates for selected causes of death data were produced using the Fleiss method. Source: Fleiss, JL., Statistical Methods for Rates and Proportions" Second Edition 15 The 95% confidence interval (CI) illustrates the degree of variability associated with a number or a rate. 16 Wide confidence intervals (CIs) indicate high variability, thus, these numbers or rates should be interpreted and compared with due caution. 17 The following standard symbols are used in this Statistics Canada table: (..) for figures not available for a specific reference period, (...) for figures not applicable and (x) for figures suppressed to meet the confidentiality requirements of the Statistics Act. 18 The figures shown in the tables have been subjected to a confidentiality procedure known as controlled rounding to prevent the possibility of associating statistical data with any identifiable individual. Under this method, all figures, including totals and margins, are rounded either up or down to a multiple of 5. Controlled rounding has the advantage over other types of rounding of producing additive tables as well as offering more protection. 19 Premature deaths are those of individuals who are younger than age 75.

Datasets available for download

Additional Info

Field Value
Last Updated March 25, 2026, 01:50 (UTC)
Created March 25, 2026, 01:50 (UTC)
Domain / Topic
Domain or topic of the dataset being cataloged.
Title
Title for the Dataset.
Premature mortality by BOTH SEXES, three-year period, Hamilton health region and peer group
Description
A description of the dataset.

Premature and potentially avoidable mortality, three-year period, Canada, provinces, territories, health regions and peer groups Frequency: Occasional
Table: 13-10-0743-01 (formerly CANSIM 102-4315) Release date: 2018-08-22
Geography: Canada, Province or territory, Health region, Local health integration network, Public health unit

Footnotes: 1 Sources: Statistics Canada, Canadian Vital Statistics, Death Database and Demography Division (population estimates). The table 13-10-0743-01 is an update of table 13-10-0412-01. This is because of the adoption of the 2015 version of the Health Region Geography. For more information, consult Statistics Canada's publication Health Regions: Boundaries and Correspondence with Census Geography" (catalogue number 82-402-X)." 2 Mortality is the death rate, which can be measured as total mortality (all causes of death combined) or by selected cause of death. All counts and rates are calculated using the total population (all age groups). 3 Potential years of life lost (PYLL) is the number of years of potential life not lived when a person dies prematurely" defined for this indicator as before age 75. All counts and rates in this table are calculated using the population aged 0 to 74." 4 Counts and rates in this table are based on three consecutive years of death data. Rates are per 100,000 population and were calculated by dividing the counts by three consecutive years of population data. 5 Rates are age-standardized using the direct method and the 2011 Canadian Census population structure. The use of a standard population results in more meaningful rate comparisons because it adjusts for variations in population age distributions over time and across geographic areas. 6 Counts and rates in this table exclude: deaths of non-residents of Canada; deaths of residents of Canada whose province or territory of residence was unknown; deaths for which age of decedent was unknown. 7 Rates in this table are based on place of residence for indicators derived from death events. 8 The number of deaths in Ontario for 2016 is considered preliminary. 9 Health regions are administrative areas defined by provincial ministries of health according to provincial legislation. The health regions presented in this table are based on boundaries and names in effect as of December 2017. For complete Canadian coverage, each northern territory represents a health region. 10 Peer groups are aggregations of health regions that share similar socio-economic and demographic characteristics, based on data from the 2011 Census of Population and 2011 National Household Survey. These are useful in the analysis of health regions, where important differences may be detected by comparing health regions within a peer group. The nine peer groups are identified by the letters A through I, which are appended to the health region 4-digit code. Caution should be taken when comparing data for the Peer Groups over time due to changes in the Peer Groups. In an analysis involving the peer groups, only one level of geography in Ontario should be used. For more information on the peer groups classification, consult Statistics Canada's publication Health Regions: Boundaries and Correspondence with Census Geography" (catalogue number 82-402-X)." 11 Before 2010, missing data on sex of the deceased were imputed based on death registration number. Starting with 2010 data year, missing data on sex of the deceased were imputed based on the cause of death information and a logistic regression. 12 The cause of death tabulated is the underlying cause of death. This is defined as (a) the disease or injury which initiated the train of events leading directly to death, or (b) the circumstances of the accident or violence which produced the fatal injury. The underlying cause is selected from the conditions listed on the medical certificate of cause of death. 13 Confidence intervals for age-standardized rates for selected causes of death data were produced using the Spiegelman method. Source: Spiegelman, M., Introduction to Demography" Revised Edition 14 Confidence intervals for crude rates for selected causes of death data were produced using the Fleiss method. Source: Fleiss, JL., Statistical Methods for Rates and Proportions" Second Edition 15 The 95% confidence interval (CI) illustrates the degree of variability associated with a number or a rate. 16 Wide confidence intervals (CIs) indicate high variability, thus, these numbers or rates should be interpreted and compared with due caution. 17 The following standard symbols are used in this Statistics Canada table: (..) for figures not available for a specific reference period, (...) for figures not applicable and (x) for figures suppressed to meet the confidentiality requirements of the Statistics Act. 18 The figures shown in the tables have been subjected to a confidentiality procedure known as controlled rounding to prevent the possibility of associating statistical data with any identifiable individual. Under this method, all figures, including totals and margins, are rounded either up or down to a multiple of 5. Controlled rounding has the advantage over other types of rounding of producing additive tables as well as offering more protection. 19 Premature deaths are those of individuals who are younger than age 75.
Tags / Keywords
Keywords/tags categorizing the dataset.
Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
Dataset Size
Dataset size in megabytes.
16.0
Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
Published Date
Published date of the dataset.
2022-04-05
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).
public
License
License used to access the dataset.
License not specified
Limits on use
Limits on use of data.
Location
Location of the dataset.
https://hamiltondatacatalog-mcmaster.hub.arcgis.com/datasets/2eae8eac4df44274861dd45437ef5a24
Data Service
Data service for accessing a dataset.
Owner
Owner of the dataset.
jadonvs_McMaster
Contact Point
Who to contact regarding access?
Contact Point Email
The email to contact regarding access?
Publisher
Publisher of the dataset.
Publisher Email
Email of the publisher.
Author
Author of the dataset.
jadonvs_McMaster
Author Email
Email of the author.
Accessed At
Date the data and metadata was accessed.
2022-04-05
Field Value
Identifier
Unique identifier for the dataset.
2eae8eac4df44274861dd45437ef5a24
Language
Language(s) of the dataset
English
Link to dataset description
A URL to an external document describing the dataset.
https://hamiltondatacatalog-mcmaster.hub.arcgis.com/datasets/2eae8eac4df44274861dd45437ef5a24
Persistent Identifier
Data is identified by a persistent identifier.
Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
Contains data about individuals
Does the data hold data about individuals?
Contains data about identifiable individuals
Does the data hold identifiable data about individual?
Contains Indigenous Data
Does the data hold data about Indigenous communities?
Portal Type
Platform type of the source portal.
Field Value
Version
Version of the datatset
None
Source
Source of the dataset.
None
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.
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.
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.
2
Number of data columns
If tabular dataset, total number of unique columns.
20
Number of data cells
If tabular dataset, total number of cells with data.
40
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.
Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.

0 Comments

Please login or register to comment.