Contained within the 3rd Edition (1957) of the Atlas of Canada is a map that shows the distribution of the Canadian population, circa 1951. Population sizes are indicated on the map by representative units of 50 or 1000. In southern Canada, the population of the 15 metropolitan areas and urban centres of 25 000 inhabitants and over is shown by a disc, the area of which is proportional to its population. The scale ranges from metropolitan Montreal (1 395 400 inhabitants) to Glace Bay (25 586 inhabitants). There are still very small populations in northern Canada, but there are clusters within Capital cities, and a even larger concentration south, near the U.S. border, in particular along ocean or inland coastlines. The congregation near or on the coastline of water indicate the influence of industry, natural resources and trade. Two graphs accompany this map. The first graph shows the numerical distribution of population for 1951 by Canada, the provinces and the territories. The second graph shows the percentage distribution of population for 1951 by province and territory.

A population ecumene is the area of inhabited lands or settled areas generally delimited by a minimum population density. This ecumene shows the areas of the densest and most extended population within census divisions. Census divisions are the provincially legislated areas (such as county, municipalité régionale de comté, and regional district) or their equivalents. Census divisions are intermediate geographic areas between the province or territory level and the municipality (census subdivision). For further information, consult the Statistics Canada’s 2016 Illustrated Glossary (see below under Data Resources). The assemblage of dissemination area population density data from the 2016 Census of Population are used to form the ecumene within census divisions. Areas included in the ecumene are dissemination areas where the population density is greater than or equal to 0.4 persons per square kilometre or about one person per square mile. In some areas to capture more population within the ecumene the criteria was extended to 0.2 persons per square kilometre. The ecumene areas were generalized in certain areas to enhance the size of some isolated ecumene areas in northern Canada. This map can be used as an “ecumene” overlay to differentiate the sparsely populated areas from the ecumene in conjunction with census division data or other small-scale maps. This ecumene shows a more meaningful distribution of the population for Canada.

This table presents the 2021 population counts for census metropolitan areas and census agglomerations, and their population centres and rural areas.

A population ecumene is the area of inhabited lands or settled areas generally delimited by a minimum population density. Two population data sets from the 2016 Census of Population were used to build two specialized ecumene maps. The census division ecumene was built from dissemination area population density data and the census subdivision ecumene was built from the dissemination block population density data. For information on census divisions, census subdivisions, dissemination areas, and dissemination blocks consult the Statistics Canada’s 2016 Illustrated Glossary (see below under Data Resources). Areas included in the ecumene (for either the census division or census subdivision) are areas where the population density is greater than or equal to 0.4 persons per square kilometre or about 1 person per square mile. In some areas to capture more population within the ecumene the criteria was extended to 0.2 persons per square kilometre. The ecumene areas were generalized in certain regions either to enhance the size of some isolated ecumene areas or to remove small internal uninhabited areas within the ecumene. Either of these ecumene resources can be used as an “ecumene” map overlay to differentiate the sparsely populated areas from the ecumene in conjunction with the appropriate census geography or other small-scale and large-scale maps.

The smallest marine mammals in North America, sea otters occupy chilly coastal waters in the central and north Pacific Ocean. Averaging 1.2 metres in length, male sea otters typically weigh about 45 kilograms. Females are slightly smaller. Otters have large, flat heads, large teeth to crush shells, and blunt noses with long, stiff whiskers. The animals have black eyes, very small ears, and a short, stout tail. Their front legs are small and fairly weak; their rear legs are also small, but much stronger as they're used for paddling. The otters' thick fur varies in colour from rust to dark brown to black, and is lighter on the head, throat and chest. Female sea otters mature at five to six years of age, and bear a single pup—very occasionally two—at one or two year intervals. Pups are usually born in the water. Sea otters favour shallow, coastal waters, seldom ranging more than one or two kilometres from shore. All otters, particularly mothers with pups, seem to prefer areas with kelp canopies, but seaweed is not an essential habitat requirement. Habitat use varies with weather and marine conditions. Otters have been known to move offshore during extended periods of calm, and congregate in sheltered, inshore areas during storms. Once extinct from Canada, the sea otter has successfully been reintroduced to British Columbia. The otters mainly live off Vancouver Island, but can also be seen near Goose Island.

Predicting the persistence of species under climate change is an increasingly important objective in ecological research and management. However, biotic and abiotic heterogeneity can drive asynchrony in population responses at small spatial scales, complicating species-level assessments. For widely distributed species consisting of many fragmented populations, such as brook trout (Salvelinus fontinalis), understanding drivers of asynchrony in population dynamics can improve predictions of range-wide climate impacts. We analyzed demographic time-series from mark-recapture surveys of eleven natural brook trout populations in eastern Canada over 13 years to examine the extent, drivers, and consequences of fine-scale population variation. The focal populations were genetically differentiated, occupied a small area (~25 km2) with few human impacts, and experienced similar climate conditions. Recruitment was highly asynchronous, weakly related to climate variables, and showed population-speci..., There are three datasets included in this submission, but all are based on empirical or remotely-sensed data gathered from Cape Race (Newfoundland, Canada) for a study in Ecological Applications. Details for each dataset are listed below. File 1.) Recruitment and Growth Time Series_with DFA Covariates.csv This file contains time-series of recuitment (Var=Recruitment; age-1 census population size; units=number of individuals) and growth (Var=Growth; median age-1 growth rate; units=mm/year) for 11 populations of brook trout (column headers: BC, DY, HM, LC, LO, MC, STBC, UC, UO, WC, WN) and an additional metapopulation that combines data from LO and UO (column header: OB). Sampling_Year denotes years in which populations were sampled via mark-recapture, while Birth_Year denotes the year in which age-1 individuals were born within each sampling year. Also provided are mean air temperature (column headers starting with T_; units=degrees Celsius) and total precipitation (column headers starti..., These data files are designed to be analyzed using R Studio. The relevant R code for analysis is available on Zenodo., # Title of Datasets

File 1: Recruitment and Growth Time Series_with DFA Covariates.csv Time-series of recruitment and growth for 11 brook trout populations, with relevant climate data used in correlation analyses and dynamic factor analysis.

File 2: Age-Specific Abundance and Growth_with Stream Temperatures.csv Demographic data for juvenile and adult brook trout across 11 populations, with relevant stream temperature data used to estimate GLMMs.

File 3: Reconstructed Stream Temperature_1980-2021.csv Population-specific stream temperature data estimated from daily air temperature used to characterize thermal regimes experienced by each population.

Description of the data and file structure

File 1: This file contains time-series of recuitment (Var=Recruitment; age-1 census population size; units=number of individuals) and growth (Var=Growth; median age-1 growth rate; units=mm/year) for 11 populations of brook trout (column headers: BC, DY, HM, LC, LO, MC, STBC, UC, UO, WC, WN) ...

This table shows the percentage of Canadian households in large, medium, and small population centres, as well as in rural areas, that can access 25 Mbps broadband services in each province and territory. Small population centres are considered to have populations of between 1,000 and 29, 000. Medium population centres are considered to have populations of between 30,000 and 99,999. Large population centres are considered to have populations greater than 100,000. Rural areas have populations of less than 1,000 or fewer than 400 people per square kilometre.

Broadband availability includes services delivered through fixed wireless technology. Actual availability may be restricted by capacity limitations in the network, topography and interference from structures and vegetation. As such, the figures should be considered a best possible availability estimate.

Satellite services are excluded since they have a national footprint.

This table provides statistics on Family Composition, Family Income, Housing Mobility, Language, Immigration, Educational Attainment, Household and Dwelling Characteristics for selected indicators. This indicator dataset contains information at both Local Geographic Area (for example, Lacombe, Red Deer - North, Calgary - West Bow, etc.) and Alberta levels. Local geographic area refers to 132 geographic areas created by Alberta Health (AH) and Alberta Health Services (AHS) based on census boundaries. The Federal Census (2016) and National Household Survey (2016) information is custom extracted by Statistics Canada at the local geographic area level. The population of these areas varies from very small in rural areas to large in metropolitan centers. This table is the part of "Alberta Health Primary Health Care - Community Profiles" report published March 2019.

SABAL - Small Area Business and Labour Data is a compendium of independent data sources brought together in one database by Statistics Canada. As a compendium, it is not a fully integrated system, therefore, dates and geographic areas covered vary between data sets selected. SABAL combines a wide variety of economic and social statistics, and provides coverage of approximately 140 urban areas and 72 economic regions, in addition to Canada, the Provinces and Territories. Some data are not available at all geographic levels. SABAL also includes metadata on each of these data sources. The business sources included are: Business Small Area File (based on Revenue Canada administrative data), Retail Trade, Building Permits, Housing Starts from CMHC, Survey of Manufacturing, Motor Vehicle Registrations, Business Counts, Consumer Price Index, and Tourism. The social sources included are: Census of Population, Small Area Administrative Data (Taxfiler Data), Labour Force Survey, Household Facilities and Equipment Survey, Education, Training, Justice, Population Projections, Family Expenditures, and Consumer Finances Survey.

A population ecumene is the area of inhabited lands or settled areas generally delimited by a minimum population density. Two population data sets from the 2016 Census of Population were used to build two specialized ecumene maps. The census division ecumene was built from dissemination area population density data and the census subdivision ecumene was built from the dissemination block population density data. For information on census divisions, census subdivisions, dissemination areas, and dissemination blocks consult the Statistics Canada’s 2016 Illustrated Glossary (see below under Data Resources). Areas included in the ecumene (for either the census division or census subdivision) are areas where the population density is greater than or equal to 0.4 persons per square kilometre or about 1 person per square mile. In some areas to capture more population within the ecumene the criteria was extended to 0.2 persons per square kilometre. The ecumene areas were generalized in certain regions either to enhance the size of some isolated ecumene areas or to remove small internal uninhabited areas within the ecumene. Either of these ecumene resources can be used as an “ecumene” map overlay to differentiate the sparsely populated areas from the ecumene in conjunction with the appropriate census geography or other small-scale and large-scale maps.

The provide detailed statistical tables for 18 scenarios by single year of the projection period (2001 to 2017). For each of the scenarios, data are available for persons who identify with each of the following three groups: the North American Indian population, the Métis or the Inuit. All three groups were projected separately for each of the ten provinces and three territories. However, the subprovincial and subterritorial level shown for the three groups varies as it depends on the groups' size. For the North American Indians, future numbers were calculated for the urban parts of all census metropolitan areas (CMAs), urban areas outside CMAs, rural areas and reserves. For the Métis, places of residence were grouped into urban parts of CMAs, urban areas outside CMAs and rural areas, which also include reserves. Because of their relatively small size, the Inuit population was projected separately for urban and rural locations only. This information is further broken down by age and sex. The 18 scenarios, as well as scenario-specific assumptions on the future trend in fertility and internal migration, are presented in the table below. In addition to these two components of population growth, all scenarios assumed declining mortality and negligible importance of international migration to the change of the size of three Aboriginal groups. The statistical tables of this CD-ROM are organized into three sections: Aboriginal groups - The projected population by Aboriginal group, type of residence, province/territory and sex for the 18 scenarios by single year from 2001 to 2017; Age and sex - The projected population by Aboriginal group, type of residence, age group and sex for the 18 scenarios by single year from 2001 to 2017; and Province/territory - The projected total Aboriginal population by province/territory, age group, sex and type of residence for the 18 scenarios for 2001 and 2017. The statistical tables are supplementary to the publication Projections of the Aboriginal populations, Canada, provinces and territories: 2001 to 2017 (catalogue no. 91-547).

This data set provides information on a small subset of railroads in central Iraq. The data set was obtained as a free set of sample data from Pennwell. The data was collected in 2004. The full data is available from Pennwell is available for purchase and more information is available at http://www.mapsearch.com/database_description.cfm as well as a data dictionary of available attributes http://downloads.pennnet.com/mapsearch/offshore_relationaldata.pdf

CANUE staff developed the Green Roads data set by combining street network files from Open Street Map 9OSM) (downloaded Nov 29, 2020) and annual average normalized difference vegetation index (NDVI) data from LandSat 8 circa 2016 from Google Earth Engine. OSM roads categorized as primary, secondary, tertiary, tertiary link, residential, unclassified and unknown were extracted from OSM, combined into a single file and clipped to urban areas. Urban areas were defined as all dissemination blocks classified as small population centres (population 1,000 to 29,999), medium population centres (population 30,000 to 99,999) or large population centres (population 100,000 or greater) in the 2016 Census. The urban roads layer was used to extract all LandSat 8 pixels with NDVI data (30m resolution). All extracted pixels with an NDVI value of 0.3 or greater, indicating green vegetation, were converted into points. Finally, the total number or points and the average NDVI value was calculated within buffers of 250m, 500m, 750m and 1000m of DMTI single-link postal codes from 2016.

This data set provides information on a small subset of roads in central Iraq. The data set was obtained as a free set of sample data from Pennwell. The data was collected in 2004. The full data is available from Pennwell is available for purchase and more information is available at http://www.mapsearch.com/database_description.cfm as well as a data dictionary of available attributes http://downloads.pennnet.com/mapsearch/offshore_relationaldata.pd

This table contains mortality indicators by sex for Canada and all provinces except Prince Edward Island. These indicators are derived from the single-year complete life tables. Mortality indicators derived from three-year life tables are also available (table 13-10-0114). For Prince Edward Island, Yukon, the Northwest Territories and Nunavut, the population sizes are too small to allow the calculation of single-years life tables with sufficient accuracy, but mortality indicators derived from three-year abridged life tables are available (table 13-10-0140).

This data set provides information on a small subset of energy pipelines in central Iraq. The data set was obtained as a free set of sample data from Pennwell. The data was collected in 2004. The full data is available from Pennwell is available for purchase and more information is available at http://www.mapsearch.com/database_description.cfm as well as a data dictionary of available attributes http://downloads.pennnet.com/mapsearch/offshore_relationaldata.pdf

This table provides statistics on Family Composition, Family Income, Housing Mobility, Language, Immigration, Educational Attainment, Household and Dwelling Characteristics for selected indicators. This indicator dataset contains information at both Local Geographic Area (for example, Lacombe, Red Deer - North, Calgary - West Bow, etc.) and Alberta levels. Local geographic area refers to 132 geographic areas created by Alberta Health (AH) and Alberta Health Services (AHS) based on census boundaries. The Federal Census (2011) and National Household Survey (2011) information is custom extracted by Statistics Canada at the local geographic area level. The population of these areas varies from very small in rural areas to large in metropolitan centers. This table is the part of "Alberta Health Primary Health Care - Community Profiles" report published March 2015.

The segment of the population between 35 and 64 years of age are considered the population in the latter half of their working life. They have, for the most part, finished having children, are in the upper end of their earning potential, children are leaving the nest, mortgages are paid and assets are increasing. This map exhibits a few interesting patterns when compared with other maps in the age structure. Compared to the early working years group, the later working years segment is less concentrated in the inner parts of the city. Higher proportions are evident on the census subdivision layer in areas outside of cities reflecting past suburban migration patterns. In the north the area outside the populated places is dominated by a high proportion of people in their later working years. Note that very small populations exist in many large census divisions and subdivisions in the North.