Contained within the 2nd Edition (1915) of the Atlas of Canada is a plate that shows two maps. The first map shows the density of population per square mile for every township in the Maritime Provinces and Quebec, circa 1911. The second map shows the density of population per square mile for every township in Quebec and Ontario, circa 1911. Communities with a population greater than 5000 people are shown as proportional dots on the map. In addition, major railway systems displayed.

This statistic shows the population distribution of Quebec in 2016, by urban/rural type. In 2016, 59.2 percent of Quebec's population lived in large urban population centers.

Contained within the 1st Edition (1906) of the Atlas of Canada is a plate that shows two maps. The maps show the density of population per square mile for every township the Maritime Provinces, Quebec and Ontario, circa 1901. Cities and towns of 5000 inhabitants or more are shown as black dots. The size of the circle is proportionate to the population. The map uses eight classes, seven of which are shades of brown, more densely populated portions are shown in the darker tints. Numbers make it clear which class is being shown in any one township.

Estimated number of persons by quarter of a year and by year, Canada, provinces and territories.

In 2022, Canada had a population density of about 4.43 people per square kilometer. The country has one of the lowest population densities in the world, as the total population is very small in relation to the dimensions of the land. Canada has a relatively stable population size, consistently with a growth of around one percent compared to the previous year. A small population in a large territory In terms of total area, Canada is the second largest country in the world. Its ten provinces and three territories extend from the Pacific to the Atlantic and northward to the Arctic Ocean, and this in total covers about 9.9 million square miles. The most densely populated area of Canada is what’s known as the Quebec City-Windsor Corridor in the provinces of Quebec and Ontario. Canada has a degree of urbanization of around 81 percent, because most Canadians prefer to live in cities where opportunities for work and leisure are in close proximity to each other and conditions are less rough.

Contained within the 3rd Edition (1957) of the Atlas of Canada is a plate that shows the distribution of population in what is now Canada circa 1851, 1871, 1901, 1921 and 1941. The five maps display the boundaries of the various colonies, provinces and territories for each date. Also shown on these five maps are the locations of principal cities and settlements. These places are shown on all of the maps for reference purposes even though they may not have been in existence in the earlier years. Each map is accompanied by a pie chart providing the percentage distribution of Canadian population by province and territory corresponding to the date the map is based on. It should be noted that the pie chart entitled Percentage Distribution of Total Population, 1851, refers to the whole of what was then British North America. The name Canada in this chart refers to the province of Canada which entered confederation in 1867 as Ontario and Quebec. The other pie charts, however, show only percentage distribution of population in what was Canada at the date indicated. Three additional graphs are included on this plate and show changes in the distribution of the population of Canada from 1867 to 1951, changes in the percentage distribution of the population of Canada by provinces and territories from 1867 to 1951 and elements in the growth of the population of Canada for each ten-year period from 1891 to 1951.

The majority of the Canadian population, about 60% is concentrated within a thin belt of land representing 2.2% of the land between Windsor, Ontario and Quebec City. Even though Canada is the second largest country in the world in terms of land area, it only ranks 33rd in terms of population. The agricultural areas in the Prairies and eastern Canada have higher population densities than the sparsely populated North, but not as high as southern Ontario or southern Quebec.

This table presents the 2021 and 2016 population and dwelling counts, land area and population density for Quebec and regional county municipalities (RCMs). It also shows the percentage change in the population and dwelling counts between 2016 and 2021.

The majority of the Canadian population, about 60% is concentrated within a thin belt of land representing 2.2% of the land between Windsor, Ontario and Quebec City. Even though Canada is the second largest country in the world in terms of land area, it only ranks 33rd in terms of population. The agricultural areas in the Prairies and eastern Canada have higher population densities than the sparsely populated North, but not as high as southern Ontario or southern Quebec.

Canada, with 3.33 people per square kilometre, has one of the lowest population densities in the world. In 2001, most of Canada's population of 30,007,094 lived within 200 kilometres of the United States (along Canada's south). In fact, the inhabitants of our three biggest cities -- Toronto, Montréal and Vancouver -- can drive to the border in less than two hours. Thousands of kilometres to the north, our polar region -- the Yukon, the Northwest Territories and Nunavut -- is relatively empty, embracing 41% of our land mass but only 0.3% of our population. An inset map shows in greater detail the Windsor-Québec Corridor where a high concentration of Canadians live.

This table contains 13 series, with data for years 1926 - 1960 (not all combinations necessarily have data for all years), and was last released on 2000-02-18. This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia ...).

Canada, with 3.33 people per square kilometre, has one of the lowest population densities in the world. In 2001, most of Canada's population of 30,007,094 lived within 200 kilometres of the United States (along Canada's south). In fact, the inhabitants of our three biggest cities -- Toronto, Montréal and Vancouver -- can drive to the border in less than two hours. Thousands of kilometres to the north, our polar region -- the Yukon, the Northwest Territories and Nunavut -- is relatively empty, embracing 41% of our land mass but only 0.3% of our population. An inset map shows in greater detail the Windsor-Québec Corridor where a high concentration of Canadians live.

Canada's largest metropolitan area is Toronto, in Ontario. In 2022. Over 6.6 million people were living in the Toronto metropolitan area. Montréal, in Quebec, followed with about 4.4 million inhabitants, while Vancouver, in Britsh Columbia, counted 2.8 million people as of 2022.

Data Sources: Banque informatisée des oiseaux de mer au Québec (BIOMQ: ECCC-CWS Quebec Region) Atlantic Colonial Waterbird Database (ACWD: ECCC-CWS Atlantic Region).. Both the BIOMQ and ACWD contain records of individual colony counts, by species, for known colonies located in Eastern Canada. Although some colonies are censused annually, most are visited much less frequently. Methods used to derive colony population estimates vary markedly among colonies and among species. For example, census methods devised for burrow-nesting alcids typically rely on ground survey techniques. As such, they tend to be restricted to relatively few colonies. In contrast, censuses of large gull or tern colonies, which are geographically widespread, more appropriately rely on a combination of broad-scale aerial surveys, and ground surveys at a subset of these colonies. In some instances, ground surveys of certain species are not available throughout the study area. In such cases, consideration of other sources, including aerial surveys, may be appropriate. For example,data stemming from a 2006 aerial survey of Common Eiders during nesting, conducted by ECCC-CWS in Labrador, though not yet incorporated in the ACWD, were used in this report. It is important to note that colony data for some species, such as herons, are not well represented in these ECCC-CWS databases at present. Analysis of ACWD and BIOMQ data (ECCC-CWS Quebec and Atlantic Regions): Data were merged as temporal coverage, survey methods and geospatial information were comparable. Only in cases where total counts of individuals were not explicitly presented was it necessary to calculate proxies of total counts of breeding individuals (e.g., by doubling numbers of breeding pairs or of active nests). Though these approaches may underestimate the true number of total individuals associated with a given site by failing to include some proportion of the non-breeding population (i.e., visiting adult non-breeders, sub-adults and failed breeders), tracking numbers of breeding individuals (or pairs) is considered to be the primary focus of these colony monitoring programs.In order to represent the potential number of individuals of a given species that realistically could be and may historically have been present at a given colony location (see section 1.1), the maximum total count obtained per species per site since 1960 was used in the analyses. In the case of certain species,especially coastal piscivores (Wires et al. 2001; Cotter et al. 2012), maxima reached in the 1970s or 1980s likely resulted from considerable anthropogenic sources of food, and these levels may never be seen again. The effect may have been more pronounced in certain geographic areas. Certain sites once used as colonies may no longer be suitable for breeding due to natural and/or human causes, but others similarly may become suitable and thus merit consideration in long-term habitat conservation planning. A colony importance index (CII) was derived by dividing the latter maximum total count by the potential total Eastern Canadian breeding population of that species (the sum of maximum total counts within a species, across all known colony sites in Eastern Canada). The CII approximates the proportion of the total potential Eastern Canadian breeding population (sum of maxima) reached at each colony location and allowed for an objective comparison among colonies both within and across species. In some less-frequently visited colonies, birds (cormorants, gulls, murres and terns, in particular) were not identified to species. Due to potential biases and issues pertaining to inclusion of these data, they were not considered when calculating species’ maximum counts by colony for the CII. The IBA approach whereby maximum colony counts are divided by the size of the corresponding actual estimated population for each species (see Table 3.1.2; approximate 1% continental threshold presented) was not used because in some instances individuals were not identified to species at some sites, or population estimates were unavailable.Use of both maxima and proportions of populations (or an index thereof) presents contrasting, but complementary, approaches to identifying important colonial congregations. By examining results derived from both approaches, attention can be directed at areas that not only host large numbers of individuals, but also important proportions of populations. This dual approach avoids attributing disproportionate attention to species that by their very nature occur in very large colonies (e.g., Leach’s Storm Petrel) or conversely to colonies that host important large proportions of less-abundant species (Roseate Tern, Caspian Tern, Black-Headed Gull, etc.), but in smaller overall numbers. Point Density Analysis (ArcGIS Spatial Analyst) with kernel estimation, and a 10-km search radius,was used to generate maps illustrating the density of colony measures (i.e., maximum count by species,CII by species), modelled as a continuous field (Gatrell et al. 1996). Actual colony locations were subsequently overlaid on the resulting cluster map. Sites not identified as important should not be assumed to be unimportant.

#Mise with caution and limitations of data use: * ** The report by Lesmerises and St-Laurent (2018) must be cited when using this file (see Literature section). ** * The distribution area of the mountain caribou population of Gaspesia in this file represents the state of knowledge on the use of land by montane caribou between 1988 and 2016. * Information on the distribution of the Gaspesie mountain caribou population in this file represents the state of knowledge on land use by montane caribou between 1988 and 2016. * Information on the distribution of the Gaspesie mountain caribou population in this file represents the state of knowledge on the use of land by montane caribou between 1988 and 2016. * Information on the distribution of the Gaspesie mountain caribou population in this file represents the state of knowledge on land use by mountain caribou between 1988 and 2016. * Information on the distribution of local population does not allow us to establish with certainty that caribou are absent in territories outside of this range. * The range is subject to change, depending on the new telemetry data that will be acquired, the refinement of our local knowledge and the changes in the patterns of land use by caribou. ## #Description of the range of the local population of woodland caribou, mountain ecotype, population of Gaspesie The data represent the range of woodland caribou, mountain ecotype, population of Gaspesie (hereinafter mountain caribou of Gaspesie). The file contains the polygon and the name assigned to the population, the period covered by the telemetry data used during the delimitation exercise, and the date of the last update. The information contained in the file of occurrences of species in a precarious situation of the Quebec Natural Heritage Data Center (CDPNQ) is also present in the file (CDPNQ occurrence number, French, English and scientific name of the species, the type of occurrence, the rank of precariousness (rank S) and the status under the Act Respecting Threatened or Vulnerable Species, see MELCCFP 2023 for a description of these fields.). ## #Contexte of the publication The Ministry of the Environment, the Fight against Climate Change, Wildlife and Parks (hereinafter MELCCFP) is responsible for the monitoring and management of mountain caribou in Gaspésie (Government of Quebec, 2021 a, b). The local population has been identified as the appropriate monitoring and management scale for this species since each population may face different threats depending on the habitat and socio-economic context in which it is found (Environment Canada, 2008). The local population is defined as a group of caribou occupying a defined territory that is spatially distinct from the territories occupied by other caribou groups. The dynamics of the local population are determined primarily by local factors influencing birth and mortality rates, rather than by the contributions or losses resulting from immigration or emigration between groups. As a result, the distribution area of the local population of mountain caribou in Gaspésie is defined as the geographic area where a group of individuals exposed to similar factors influencing their demographics live and which meets the needs of their life cycle during a given period of time (e.g. calving, rutting, wintering). In 2018, Lesmerises and St-Laurent produced the report Influence of the rate of habitat disturbance, regional coyote abundance, and predator control on the demographic parameters of the Gaspesia-Atlantic caribou population report presented to the Canadian Wildlife Service (Environment Canada). One of the objectives of the report was to delineate the range of this population. The MELCCFP uses the distribution area delimited by Lesmerises and St-Laurent (2018) as part of the monitoring and management of mountain caribou in Gaspésie. For any questions related to the Lesmerises and St-Laurent report (2018), please contact Mr. St-Laurent (Martin-hugues_St-laurent@uqar.ca). ## #Méthodologie in a nutshell The methodology below is a summary of that described in Lesmerises and St-Laurent (2018). Telemetry data from three follow-ups carried out during different periods of time were used (1988-1991, 1998-2008 and 2013-2016). The caribou were equipped with VHF collars during the first two follow-ups. Aerial flights were carried out at various times in order to locate the caribou. During the follow-up from 2013 to 2016, the caribou were equipped with GPS/Argos collars programmed to acquire locations every 2 or 3 hours depending on the collar model used. The range of the mountain caribou population in Gaspesie was defined by estimating a minimum convex polygon comprising 99% of telemetry locations plus a 10 km buffer zone. Finally, the parts superimposed on the St. Lawrence River were removed. ## #Littérature Environment Canada. 2008. Scientific review for the identification of critical habitat for the boreal population of woodland caribou (Rangifer tarandus caribou) in Canada. August 2008. Ottawa: Environment Canada. 80 pp. + 192 pp. appendices. Government of Quebec. 2021 a. Monitoring system for forest caribou populations in Quebec and mountain caribou in Gaspésie 2020-2031: summary document, Ministry of Forests, Wildlife and Parks, Directorate of Expertise on Terrestrial Wildlife, Herpetofauna and Avifauna, 16 pp. Government of Quebec. 2021 b. Literature review on the factors involved in the decline of forest caribou populations in Quebec and mountain caribou in Gaspésie, Ministère des Forêts, de la Faune et des Parcs, Direction of expertise on terrestrial fauna, herpetofauna and avifauna, 244 pp. + 15p. appendices Lesmerises, F. and M.-H. St-Laurent. 2018. Influence of the rate of habitat disturbance, regional coyote abundance, and predator control on the demographic parameters of the caribou population in Gaspesia-Atlantique. Scientific report submitted to Environment Canada — Canadian Wildlife Service, Rimouski (Quebec). 22 pp. + 8 appendices. Ministry of the Environment, the Fight against Climate Change, Wildlife and Parks (MELCCFP). 2023. The Quebec Natural Heritage Data Center — Information document, Government of Quebec, Quebec, 32 pp.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

There were over one million registered Indians in Canada as of December 2020. The region with the largest Indian population was Ontario, with 222 thousand, followed by Manitoba, which counted 164 thousand Indians. The regions with the smallest Indian populations were Yukon, and Northwest Territories.

In 2021, in Montréal, in the Canadian province of Québec, approximately **** percent of the population with employment income earned less than ***** Canadian dollars, while those earning more than 100,000 Canadian dollars represented almost ** percent of the population. In 2022, there were more than *** million people employed in Montréal, and the industry that employed the largest number of people was wholesale and retail trade.

Data from Statistics Canada [26].*p-Value from Wilcoxon-Mann-Whitney test;**p-Value from t-test;¶ People 15 years of age and over; SD = Standard Deviation.Sociodemographic characteristics of the rural small towns in which the EDs were located.

Sampling effort for snow-tracking of snowshoe hare (Lepus americanus), fox (Vulpes vulpes), lynx (Lynx canadensis) and marten (Martes americana) in the Montmorency Forest, southern Quebec (Canada), 2004–2014.

** The proportions were calculated for 23 EDs because of 3 missing value.*** The proportions were calculated for 61 EDs because of 1 missing value.*p-Value from Fisher exact test.This is the Table 5. Comparison of 24/7 local access to equipment in rural EDs.