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Found 10 records similar to Projected population, by projection scenario, age and sex, as of July 1

Federal

Components of projected population growth by scenario: births, deaths, immigrants, emigrants, returning emigrants, net temporary emigrants, net interprovincial migration, net non-permanent residents, residual deviation.

Last Updated: Oct. 28, 2021
Date Published: Sep. 17, 2019
Organization: Statistics Canada
Formats: XML CSV HTML
Keywords:  population and demography, population projections, projections by age and sex, table
Federal

Projected population (in thousands) by Indigenous identity, age group, sex, area of residence, provinces and territories, Canada, 2016 (observed) and 2017 to 2041 (projected according to three scenarios).

Last Updated: Oct. 28, 2021
Date Published: Oct. 6, 2021
Organization: Statistics Canada
Formats: XML CSV HTML
Keywords:  demographic characteristics and indigenous groups, indigenous peoples, population and demography, population projections, specific projections (microsimulation), table
Federal

Projected population (in thousands) by Indigenous identity (variant prioritizing the Registered or Treaty Indian status), age group, sex, area of residence, provinces and territories, Canada, 2016 (observed) and 2017 to 2041 (projected according to three scenarios).

Last Updated: Oct. 28, 2021
Date Published: Oct. 6, 2021
Organization: Statistics Canada
Formats: XML CSV HTML
Keywords:  demographic characteristics and indigenous groups, indigenous peoples, population and demography, population projections, specific projections (microsimulation), table
Provincial

These datasets include population projections by age and sex organized by geography: * Projections for Ontario * Projections for each of the 6 regions * Projections for each of the 49 census divisions * Projections for each of the 9 Ministry of Children, Community and Social Services’ Service Delivery Division (SDD) regions For Ontario only, the projected annual components of demographic change are provided for the reference, low- and high-growth scenarios. For all other geographies, only the reference scenario is produced.

Last Updated: Dec. 17, 2021
Date Published: Jan. 11, 2020
Organization: Government of Ontario
Formats: XLSX HTML
Keywords:  Government and Finance, Government, Population, Demographics, Projection, Forecast, Age, Gender, Sex
Federal

The Public Health Agency of Canada (PHAC) released new modelling projections of the number of opioid-related deaths that may occur over the course of the coming months. The results of the model suggest that, under some scenarios, the number of opioid-related deaths may remain high or may even increase through to December 31, 2021.

Last Updated: Oct. 25, 2021
Date Published: Jun. 23, 2021
Organization: Public Health Agency of Canada
Formats: HTML
Keywords:  Modelling, projections, opioid-related, deaths, during, COVID-19, outbreak, number, opioid-related
Provincial

These long-term population projections by single year of age and sex have been developed by applying the component cohort survival model to assumptions about future trends in fertility, mortality and migration, under three different sets of assumptions (i.e. low, medium and high scenarios).

Last Updated: Jun. 27, 2018
Date Published: Jun. 24, 2016
Organization: Government of Alberta
Formats: XLSX DOCX other CSV
Keywords:  AB population projection, Alberta population projection, Census Divisions, forecast, open data, projections
Federal

Multi-model ensembles of mean temperature based on projections from twenty-nine Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models are available for 1901-2100. Specifically, the 5th, 25th, 50th, 75th and 95th percentiles of the monthly, seasonal and annual ensembles of mean temperature (°C) are available for the historical time period, 1901-2005, and for emission scenarios, RCP2.6, RCP4.5 and RCP8.5, for 2006-2100.

Note: Projections among climate models can vary because of differences in their underlying representation of earth system processes. Thus, the use of a multi-model ensemble approach has been demonstrated in recent scientific literature to likely provide better projected climate change information.

Last Updated: Feb. 22, 2022
Date Published: Sep. 6, 2018
Organization: Environment and Climate Change Canada
Formats: WMS PDF HTML NetCDF GeoTIF
Keywords:  Projections; climate; climate change; percentiles; ensembles; climate model; temperature; cmip5, Weather and Climate, Provide Climate Information Products and Services, Expand Scientific Knowledge for Climate Monitoring and Prediction, International, Climate, Climate change
Federal

Multi-model ensembles of snow depth based on projections from twenty-eight Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models are available for 1900-2100. Specifically, the 5th, 25th, 50th, 75th and 95th percentiles of the monthly, seasonal and annual ensembles of snow depth (m) are available for the historical time period, 1900-2005, and for emission scenarios, RCP2.6, RCP4.5 and RCP8.5, for 2006-2100.

Note: Projections among climate models can vary because of differences in their underlying representation of earth system processes. Thus, the use of a multi-model ensemble approach has been demonstrated in recent scientific literature to likely provide better projected climate change information.

Last Updated: Feb. 22, 2022
Date Published: Sep. 6, 2018
Organization: Environment and Climate Change Canada
Formats: WMS PDF HTML NetCDF GeoTIF
Keywords:  Projections; climate; climate change; percentiles; ensembles; climate model; snow; cmip5, Weather and Climate, Provide Climate Information Products and Services, Expand Scientific Knowledge for Climate Monitoring and Prediction, National (CA), Climate, Climate change
Federal

Multi-model ensembles of mean precipitation based on projections from twenty-nine Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models are available for 1901-2100. Specifically, the 5th, 25th, 50th, 75th and 95th percentiles of the monthly, seasonal and annual ensembles of mean precipitation (mm/day) are available for the historical time period, 1901-2005, and for emission scenarios, RCP2.6, RCP4.5 and RCP8.5, for 2006-2100.

Note: Projections among climate models can vary because of differences in their underlying representation of earth system processes. Thus, the use of a multi-model ensemble approach has been demonstrated in recent scientific literature to likely provide better projected climate change information.

Last Updated: Feb. 22, 2022
Date Published: Sep. 6, 2018
Organization: Environment and Climate Change Canada
Formats: WMS PDF HTML NetCDF GeoTIF
Keywords:  Projections; climate; climate change; percentiles; ensembles; climate model; precipitation; cmip5, Weather and Climate, Provide Climate Information Products and Services, Expand Scientific Knowledge for Climate Monitoring and Prediction, International, Climate, Climate change
Federal

Multi-model ensembles of sea ice concentration based on projections from twenty-eight Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models are available for 1900-2100. Specifically, the 5th, 25th, 50th, 75th and 95th percentiles of the monthly, seasonal and annual ensembles of sea ice concentration as represented as the percentage (%) of grid cell area, are available for the historical time period, 1900-2005, and for emission scenarios, RCP2.6, RCP4.5 and RCP8.5, for 2006-2100.

Note: Projections among climate models can vary because of differences in their underlying representation of earth system processes. Thus, the use of a multi-model ensemble approach has been demonstrated in recent scientific literature to likely provide better projected climate change information.

Last Updated: Feb. 22, 2022
Date Published: Sep. 6, 2018
Organization: Environment and Climate Change Canada
Formats: WMS PDF HTML NetCDF GeoTIF
Keywords:  Projections; climate; climate change; percentiles; ensembles; climate model; sea ice; cmip5, Weather and Climate, Provide Climate Information Products and Services, Expand Scientific Knowledge for Climate Monitoring and Prediction, International, Climate, Climate change
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