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

Estimated number of persons on July 1st, by age group and gender, for Canada, provinces and territories, health regions and peer groups.

Sub-provincial population estimates and projections by age and gender for a variety of region types. Customizable breakdowns for counts and additional statistics are available via BC Stats' Population App. Estimates: A population estimate is a measure of the current or historical population. BC Stats annually releases total population estimates for sub-provincial region types. These estimates are consistent in aggregate with the July 1st provincial level estimates produced by Statistics Canada. More information can be found on BC Stats' Population Estimates page. Projections: A population projection is a forecast of future population growth. BC Stats applies the Component/Cohort-Survival method to project the population. This method "grows" the population from the latest base year estimate by forecasting births, deaths and migration by age. These forecasts are based on past trends modified to account for possible future changes and, consequently, should be viewed as only one possible scenario of future population. Projections are also released annually and are as of July 1st. The methodological document, P.E.O.P.L.E. Sub-provincial Population Projections: Methodology and Assumptions, is provided only for reference. More information can be found on BC Stats' Population Projections page. Wondering about the location of a particular region or its boundaries? Check out the Administrative Boundaries page for more information.

This record contains Grizzly Bear population estimates for British Columbia for multiple years: 2012, 2015 and 2018. The 2012 Grizzly Bear population estimate report for British Columbia report is available here: http://www.env.gov.bc.ca/fw/wildlife/docs/Grizzly_Bear_Pop_Est_Report_Final_2012.pdf. The 2018 Grizzly Bear population estimate report for British Columbia report is available here: https://www2.gov.bc.ca/assets/gov/environment/plants-animals-and-ecosystems/wildlife-wildlife-habitat/grizzly-bears/grizzly_bear_pop_est_report_2018_final.pdf Grizzly Bear population estimates for 2015 & 2018 are provided below in tabular comma separated value (.csv) file format, as well as a zipped (.zip) Esri file geodatabase (.gdb) spatial data file format. There is no spatial difference between the 2015 & 2018 spatial data polygons, as only the population estimate numbers in the spatial data's attribute table were updated (and only if a change in population estimates occurred from 2015 to 2018). 2015 population estimates are based on 2012 numbers, but adjusted to the revised GBPU sub-units. The 2015 & 2018 population estimates in the comma separated value (.csv) tables are provided in two units: 1. Grizzly Bear Population Unit (GBPU) and 2. GBPU sub-unit. The sub-units are composed of Grizzly Bear Population Unit (GBPU), Wildlife Management Unit (WMU), Limited Entry Hunting (LEH) and National Park boundaries, taken at the time of this data's creation. Note that that these boundaries are not coincident. Slight adjustments have been made to some polygons where needed to align the original linework to create the GBPU sub-units. Therefore, do not dissolve the GBPU sub-units to replicate the source data. Bear density is given in number of bears per 1,000 square kilometers, based on the net polygon area. The net polygon area excludes ice and water features from the Baseline Thematic Mapping dataset (https://catalogue.data.gov.bc.ca/dataset/134fdc69-7b0c-4c50-b77c-e8f2553a1d40). Ice and water features can be identified by using this selection criteria: PRESENT_LAND_USE_LABEL IN ('Fresh Water', 'Salt Water', 'Glaciers and Snow'). Please view the PDF file below for more information on the data change history, and for a description of the spatial data attribute fields: BC_Grizzly_population_estimates_2015_and_2018_by_GBPU_population_sub_units_metadata.pdf Grizzly Bear population units are available here: https://catalogue.data.gov.bc.ca/dataset/caa22f7a-87df-4f31-89e0-d5295ec5c725 Grizzly Bear Conservation Ranking results table is available here: https://catalogue.data.gov.bc.ca/dataset/e08876a1-3f9c-46bf-b69a-3d88de1da725 Grizzly Bear reports are available here: https://www2.gov.bc.ca/gov/content/environment/plants-animals-ecosystems/wildlife/wildlife-conservation/grizzly-bear

The Historical Urban Population, 3700 BC - AD 2000, originally developed by the Yale School of Forestry & Environmental Studies, is the first spatially explicit global data set containing location and size of urban populations over the last 6,000 years. The data set was created by digitizing, transcribing, and geocoding historical, archaeological, and census-based urban population data. Each data point consists of a city name, latitude, longitude, year, population, and a reliability ranking to assess the geographic uncertainty of each data point. Despite spatial and temporal gaps, no other geocoded data set at this resolution exists. It can therefore be used to investigate long-term historical urbanization trends and patterns, evaluate the current era of urbanization, and build a richer record of urban population through history.

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 in Manitoba, Saskatchewan, British Columbia, Alberta, circa 1901. The statistics from the 1901 census are used, yet the population of Saskatchewan and Alberta is shown as confined within the vicinity of the railways, this is because the railways have been brought up to date of publication, 1906. 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. Major railway systems are shown. The map also displays the rectangular survey system which records the land that is available to the public. This grid like system is divided into sections, townships, range, and meridian from mid-Manitoba to Alberta.

The Historical Urban Population, 3700 BC - AD 2000, originally developed by the Yale School of Forestry & Environmental Studies, is the first spatially explicit global data set containing location and size of urban populations over the last 6,000 years. The data set was created by digitizing, transcribing, and geocoding historical, archaeological, and census-based urban population data. Each data point consists of a city name, latitude, longitude, year, population, and a reliability ranking to assess the geographic uncertainty of each data point. Despite spatial and temporal gaps, no other geocoded data set at this resolution exists. It can therefore be used to investigate long-term historical urbanization trends and patterns, evaluate the current era of urbanization, and build a richer record of urban population through history.

A population projection is a forecast of future population growth. BC Stats applies the Component/Cohort-Survival method to project the population. This method "grows" the population from the latest base year estimate by forecasting births, deaths and migration by age. These forecasts are based on past trends modified to account for possible future changes and, consequently, should be viewed as only one possible scenario of future population. B.C. level projections are updated annually. All population estimates and projections are as of July 1st. More information can be found on BC Stats' Population Projections page.

A population projection is a forecast of future population growth. BC Stats applies the Component/Cohort-Survival method to project the population. This method "grows" the population from the latest base year estimate by forecasting births, deaths and migration by age. These forecasts are based on past trends modified to account for possible future changes and, consequently, should be viewed as only one possible scenario of future population. B.C. level projections are updated annually. All population estimates and projections are as of July 1st. More information can be found on BC Stats' Population Projections page.

This record contains Grizzly Bear population estimates for British Columbia for multiple years: 2012, 2015 and 2018. The 2012 Grizzly Bear population estimate report for British Columbia report is available here: http://www.env.gov.bc.ca/fw/wildlife/docs/Grizzly_Bear_Pop_Est_Report_Final_2012.pdf. The 2018 Grizzly Bear population estimate report for British Columbia report is available here: https://www2.gov.bc.ca/assets/gov/environment/plants-animals-and-ecosystems/wildlife-wildlife-habitat/grizzly-bears/grizzly_bear_pop_est_report_2018_final.pdf Grizzly Bear population estimates for 2015 & 2018 are provided below in tabular comma separated value (.csv) file format, as well as a zipped (.zip) Esri file geodatabase (.gdb) spatial data file format. There is no spatial difference between the 2015 & 2018 spatial data polygons, as only the population estimate numbers in the spatial data's attribute table were updated (and only if a change in population estimates occurred from 2015 to 2018). 2015 population estimates are based on 2012 numbers, but adjusted to the revised GBPU sub-units. The 2015 & 2018 population estimates in the comma separated value (.csv) tables are provided in two units: 1. Grizzly Bear Population Unit (GBPU) and 2. GBPU sub-unit. The sub-units are composed of Grizzly Bear Population Unit (GBPU), Wildlife Management Unit (WMU), Limited Entry Hunting (LEH) and National Park boundaries, taken at the time of this data's creation. Note that that these boundaries are not coincident. Slight adjustments have been made to some polygons where needed to align the original linework to create the GBPU sub-units. Therefore, do not dissolve the GBPU sub-units to replicate the source data. Bear density is given in number of bears per 1,000 square kilometers, based on the net polygon area. The net polygon area excludes ice and water features from the Baseline Thematic Mapping dataset (https://catalogue.data.gov.bc.ca/dataset/134fdc69-7b0c-4c50-b77c-e8f2553a1d40). Ice and water features can be identified by using this selection criteria: PRESENT_LAND_USE_LABEL IN ('Fresh Water', 'Salt Water', 'Glaciers and Snow'). Please view the PDF file below for more information on the data change history, and for a description of the spatial data attribute fields: BC_Grizzly_population_estimates_2015_and_2018_by_GBPU_population_sub_units_metadata.pdf Grizzly Bear population units are available here: https://catalogue.data.gov.bc.ca/dataset/caa22f7a-87df-4f31-89e0-d5295ec5c725 Grizzly Bear Conservation Ranking results table is available here: https://catalogue.data.gov.bc.ca/dataset/e08876a1-3f9c-46bf-b69a-3d88de1da725 Grizzly Bear reports are available here: https://www2.gov.bc.ca/gov/content/environment/plants-animals-ecosystems/wildlife/wildlife-conservation/grizzly-bear

Boundaries identifying similar behavioural ecotypes and sub-populations of Grizzly bears. This dataset contains versions from multiple years. From 2018 on, NatureServe conservation concern ranking categories (e.g., Very Low, Low, Moderate, High, Extreme Concern) supersede the pre-2018 population status categories (e.g., Viable, Threatened, Extirpated) contained in the field STATUS. NatureServe conservation concern ranking categories reflect population size and trend, genetic and demographic isolation, as well as threats to bears and their habitats. The NatureServe conservation concern ranking fields are named CONSERVATION_CONCERN_RANK and CONSERVATION_CONCERN_DESC. Please view the attached PDF file for a summary of changes to this dataset from 2012 onward. To download only the 2018 units, in the link below, select the "Export" tab, then select the "Provincial Layer Download" button: https://maps.gov.bc.ca/ess/hm/imap4m/?catalogLayers=7744,7745 Grizzly Bear Conservation Ranking results table is available here: https://catalogue.data.gov.bc.ca/dataset/e08876a1-3f9c-46bf-b69a-3d88de1da725 Grizzly Bear population estimates from various years are available here: https://catalogue.data.gov.bc.ca/dataset/2bf91935-9158-4f77-9c2c-4310480e6c29 Grizzly Bear reports are available here: https://www2.gov.bc.ca/gov/content/environment/plants-animals-ecosystems/wildlife/wildlife-conservation/grizzly-bear

Sub-provincial household estimates and projections for various region types of British Columbia including Development Regions, Regional Districts, incorporated municipalities and other regions. The data set includes the number and average number of persons per household for every sub-provincial region. Customizable data breakdowns are available via BC Stats' Household Estimates & Projections application. Estimates: BC Stats releases annual household estimates for sub-provincial regions as of July 1st of every year. These estimates are calculated using a parametric model adjusted from Census data and the annual population estimates by BC Stats. Projections: BC Stats applies the same parametric model used for the household estimates to the population projections produced annually by BC Stats to produce household projections. The projections are produced for every region type described above. More information can be found on BC Stats’ Household Projections page.

This data set contains the supplemental information documents for New Partial Estimates of Pre-Contact Indigenous Populations in Western British Columbia. Included documents include R code for calculating population estimates, sample population biometric data, error calculations, protein limit calculations, and radiocarbon samples for Barkley Sound archaeology sites.

Indicator : PopulationTheme: PeopleSource : Office for National Statistics - Population Estimates - local authority basedFrequency : AnnualDefinition : Estimates of usual resident population by local authority covering the period up to 30 June in the recorded year. Usual resident population refers to people who reside for 12 months or more. This dataset shows annual population estimates in the Black Country area by local authority, showing population by age and gender between 2011-2023.Latest Period : 2023Released : 2024Next Update : 2025Link: https://www.nomisweb.co.uk/

Sub-provincial population estimates and projections by age and gender for a variety of region types. Customizable breakdowns for counts and additional statistics are available via BC Stats' Population App. Estimates: A population estimate is a measure of the current or historical population. BC Stats annually releases total population estimates for sub-provincial region types. These estimates are consistent in aggregate with the July 1st provincial level estimates produced by Statistics Canada. More information can be found on BC Stats' Population Estimates page. Projections: A population projection is a forecast of future population growth. BC Stats applies the Component/Cohort-Survival method to project the population. This method "grows" the population from the latest base year estimate by forecasting births, deaths and migration by age. These forecasts are based on past trends modified to account for possible future changes and, consequently, should be viewed as only one possible scenario of future population. Projections are also released annually and are as of July 1st. The methodological document, P.E.O.P.L.E. Sub-provincial Population Projections: Methodology and Assumptions, is provided only for reference. More information can be found on BC Stats' Population Projections page. Wondering about the location of a particular region or its boundaries? Check out the Administrative Boundaries page for more information.

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

Annual population estimates as of July 1st, by census metropolitan area and census agglomeration, single year of age, five-year age group and gender, based on the Standard Geographical Classification (SGC) 2021.

Contained within the 2nd Edition (1915) of the Atlas of Canada is a plate map that shows 2 maps. The first map shows the origin of the population in Manitoba and Saskatchewan, circa 1911. The second map shows the origin of the population in British Columbia and Alberta, circa 1911A varying number of ethnic groups are shown, but always included are: English, Scotch [Scottish], Irish, French and German. People of British origin predominate in all provinces, except Quebec, where the French predominate. There is a cosmopolitan population due to immigration from Great Britain and Europe, but British are the predominating people in British Columbia and Alberta. Major railway systems are displayed, which extend into the U.S. The map presents the rectangular survey system, which records the land that is available to the public. This grid like system is divided into sections, townships, range, and meridian from mid-Manitoba to Alberta.

BC Stats (with partners at the Ministry of Housing, Ministry of Social Development and Poverty Reduction (SDPR), and BC Housing) has developed aggregated summary statistics estimating the homeless population in B.C. These estimates were derived from three administrative service use datasets from the Data Innovation Program (DIP): shelter use from BC Housing, social assistance payments from SDPR, demographic information from the Health medical service plan (MSP) central demographics file. The analytic definition of homelessness includes individuals who received income assistance with no fixed address for at least three consecutive months or those who visited a shelter at any time throughout the year. Estimates have been aggregated into four tables: * Annual estimates of the homeless population by age and gender * Annual estimates of the homeless population by chronicity category (chronic vs non-chronic homelessness) * Annual estimates of the homeless population by census division * Monthly estimates of the homeless population by service use (income assistance with no fixed address, shelter use, or both) \ Estimates are available for 2019-2022. Full methodology details are available in the Homeless Cohort Development - Technical Documentation resource.

Locations of Pacific salmon-bearing streams that are subject to escapement surveys. Most often, the location is at the mouth of the waterbody, as defined in the Provincial Freshwater Atlas Stream Network dataset:https://catalogue.data.gov.bc.ca/dataset/freshwater-atlas-stream-networkThe GFE (geofeature) ID can be used to query the Salmon Escapement Database (NuSEDS-New Salmon Escapement Database System):https://open.canada.ca/data/en/dataset/c48669a3-045b-400d-b730-48aafe8c5ee6Note: this dataset is current as of January 2022, but may contain errors. The locations of some counting sites are currently under review and are subject to change.To view and download the authoritative Pacific Salmon Conservation Units, Sites & Status datasets, go to: https://open.canada.ca/data/en/dataset/1ac00a39-4770-443d-8a6b-9656c06df6a3From Open Data:Conservation Unit (CU) counting sites:Salmon spawner enumeration data in the Pacific Region is stored and managed in the New Salmon Escapement Database (NuSEDS). The term “escapement” is used to refer to the group of mature salmon that have ‘escaped’ from various sources of exploitation, and returned to freshwater to spawn and reproduce. This data is assigned to a “Counting Site”, which may be a complete watercourse with a marine terminus, a tributary to a larger watercourse, or a defined reach within a watercourse that may or may not encompass the entire population but represents an index of the abundance of that population.