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.

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

Families of tax filers; Census families with children by age of children and children by age groups (final T1 Family File; T1FF).

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.

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.

Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas, annual.

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.

This table shows the 2021 population and dwelling counts for reported forward sortation areas.

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 British Columbia and Alberta, circa 1911. The second map shows the density of population per square mile for every township in Manitoba and Saskatchewan, circa 1911. Communities with a population greater than 5000 people are shown as proportional dots on the map. In addition, major railway systems displayed. The map 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.

This dataset includes Statistics Canada table 46-10-0045-01, titled “Housing characteristics, by tenure including first-time homebuyer status”. The table includes information on selected housing characteristics (difficulty meeting financial needs, visible minority status, household type, age group, and employment status) housing by tenure. The tenure category of 'owner' is split up into first-time home buyers and owner who is not a first-time home buyer. The table has been edited to include only geographies from British Columbia. The table is available in CSV and Excel Workbook format. Definitions and notes are included at the bottom of the spreadsheet. This data set was collected as part of the Canadian Housing Survey by Statistics Canada. Geographies: British Columbia, Large urban population centres in British Columbia, Medium population centres in British Columbia, Small population centres in British Columbia, Rural areas in British Columbia, Vancouver CMA, Other census metropolitan areas in British Columbia, Census agglomerations in British Columbia

This dataset includes Statistics Canada table 46-10-0043-01, titled “Housing suitability and dwelling condition, by tenure including social and affordable housing”. The table includes information on dwelling condition and suitability by tenure. The tenure category of 'renter' is split up into "renter not in social and affordable housing" and "renter in social and affordable housing". The table has been edited to include only geographies from British Columbia. The table is available in CSV and Excel Workbook format. Definitions and notes are included at the bottom of the spreadsheet. This data set was collected as part of the Canadian Housing Survey by Statistics Canada. Geographies: British Columbia, Large urban population centres, British Columbia, Medium population centres, British Columbia, Small population centres, British Columbia, Rural areas, British Columbia, Vancouver, Census Metropolitan Area, Other census metropolitan areas, British Columbia, Census agglomerations, British Columbia

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.

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.

This dataset contains estimates of the per-capita amount, in kilograms, of municipal solid waste disposed of in B.C., by regional district, from 1990 to 2022. The data from 1990-2006 data were collected from the regional districts by the Ministry of Environment, and were previously published in annual Municipal Solid Waste Tracking Reports. The 2007 data were collected by the BC Climate Action Secretariat for the Community Energy and Emissions Inventory. The source CEEI data are available here, and include a wide variety of information for all types of local governments (e.g., municipalities, unincorporated ares, etc). The 2010-2022 disposal amounts were provided by the Regional Districts, except in a few cases where they were estimated by Ministry of Environment staff. The disposal rates for Comox Valley and Strathcona are reported together, as they handle their waste stream together. Please see the More Info link below for a visualization of municipal solid waste disposal in BC. Note that differences in methodologies over time and among Regional Districts make direct comparisons difficult. Regional District population estimates are sourced from BC Stats. Some population estimates have been adjusted based on data submitted by the Regional Districts based on local information (e.g. tourism population estimates).

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.

Local Government Statistics - Legal Name, Incorporation date - Municipality - 2005. The Statistics schedules consist of data provided to the ministry by local governments in annual financial reporting forms. While the ministry does perform checks of the data, we do not guarantee its accuracy or validity. Users should contact local governments directly if confirmation is required. Beginning in 2002 the schedules have been amended to reflect Generally Accepted Accounting Procedures (GAAP) for local governments, thus they differ greatly from previous years. Regional District statistics use the current year assessments supplied by BC Assessment in April and revised population estimates certified by the Minister responsible. Data for previous years may be requested electronically.

Local Government Statistics - General Statistics - Equity - Municipality - 2005. The Statistics schedules consist of data provided to the ministry by local governments in annual financial reporting forms. While the ministry does perform checks of the data, we do not guarantee its accuracy or validity. Users should contact local governments directly if confirmation is required. Beginning in 2002 the schedules have been amended to reflect Generally Accepted Accounting Procedures (GAAP) for local governments, thus they differ greatly from previous years. Regional District statistics use the current year assessments supplied by BC Assessment in April and revised population estimates certified by the Minister responsible. Data for previous years may be requested electronically.

This data set includes the locations of all known seabird colonies along the coast of British Columbia, and provides a compilation of the population estimates of seabirds breeding at those colonies since 1980, and historical estimates prior to 1980 for some colonies. It does not include an estimate of the numbers of juvenile birds or non-breeders in the population. The rationale for developing this inventory was the recognized need for a product that could assist with: coastal zone and conservation area planning; emergency response to environmental emergencies and identifying areas of potential interactions between seabirds and anthropogenic activities. In addition, the data used to develop the document provides a baseline to compare with future seabird population estimates in order to measure the impacts of shifts in composition, abundance and/or distribution of prey, and climatic and oceanographic changes. The database is not a substitute for on-site surveys usually required for environmental assessment. Here we present data on the breeding colony population estimates of the 15 species of seabirds (including two storm petrels, three cormorants, one gull and nine alcids) and one shorebird (Black Oystercatcher Haematopus bachmani) that breed on the coast of British Columbia. Over 5.5 million colonial birds are currently estimated to nest at 627 sites, based on surveys primarily conducted in the 1980’s. Five species (Cassin's Auklets Ptychoramphus aleuticus, Fork-tailed Storm-petrels Oceanodroma furcata, Leach's Storm-petrels Oceanodroma leucorhoa, Rhinoceros Auklets Cerorhinca monocerata, and Ancient Murrelets Synthliboramphus antiquus) comprise the vast majority of that population, although Glaucous-winged Gulls (Larus glaucescens) and Pigeon Guillemots (Cepphus columba) nest at the most sites. Marbled Murrelets (Brachyramphus marmoratus), which nest on the mossy limbs of mature and old-growth trees within the coastal forests, are not included in this database, due to their dispersed nesting habit. The population estimates presented in this database are compiled from the results of several surveys. Many of the seabird breeding colonies in British Columbia have been known for more than 50 years, but because of the remoteness of the sites, visits to them have been rare. The majority of the data are the results of a comprehensive inventory of colonial nesting seabirds along the British Columbia coastline conducted between 1980 and 1989 by the Canadian Wildlife Service of Environment and Climate Change Canada. The goal of that program was to establish baseline estimates of breeding seabird populations in BC using standardized survey techniques to allow future comparisons and monitoring of those populations. A few colonies on small remote islands were not visited during that survey. Therefore, for some colonies the most current population estimates are from the first complete survey of the BC coastline, carried out by the Royal British Columbia Museum in the mid 1970’s. That survey identified colony sites and provided rough assessments of the population sizes of breeding seabirds. Since 1989, surveys have been conducted on some alcid, cormorant and gull colonies along the BC coast, and results have been included in the dataset (data entry ongoing). As well as data from Canadian Wildlife Service surveys, we have attempted to obtain recent data from all other sources including Parks Canada, the Ministry of Forests, Lands, Natural Resource Operations and Rural Development, the Bamfield Marine Station and the Laskeek Bay Conservation Society. Since 2000, inventories of nesting Black Oystercatchers have been conducted in some regions of the coast by Parks Canada and partners (Gulf Islands National Park Reserve, Pacific Rim National Park Reserve, and Gwaii Haanas National Park Reserve) and results have been included in the dataset (data entry ongoing). A long time series of nesting Black Oystercatcher data collected by Laskeek Bay Conservation Society in the Laskeek Bay area of the East Coast of Moresby Island has also been included in this dataset.

This dataset includes six tables which were custom ordered from Statistics Canada. All tables include commuting characteristics (mode of commuting, duration/distance), labour characteristics (employment income groups in 2015, Industry by the North American Industry Classification System 2012), and visible minority groups. The dataset is in Beyond 20/20 (.ivt) format. The Beyond 20/20 browser is required in order to open it. This software can be freely downloaded from the Statistics Canada website: https://www.statcan.gc.ca/eng/public/beyond20-20 (Windows only). For information on how to use Beyond 20/20, please see: http://odesi2.scholarsportal.info/documentation/Beyond2020/beyond20-quickstart.pdf https://wiki.ubc.ca/Library:Beyond_20/20_Guide Custom order from Statistics Canada includes the following dimensions and variables: Geography: Place of Work (POW), Census Tract (CT) within CMA Vancouver. The global non-response rate (GNR) is an important measure of census data quality. It combines total non-response (households) and partial non-response (questions). A lower GNR indicates a lower risk of non-response bias and, as a result, a lower risk of inaccuracy. The counts and estimates for geographic areas with a GNR equal to or greater than 50% are not published in the standard products. The counts and estimates for these areas have a high risk of non-response bias, and in most cases, should not be released. However, it will be provided upon request. GNR values for POR and POW are different for each geography. Universe: The Employed Labour Force having a usual place of work for the population aged 15 years and over in private households that are rented (Tenure rented), full year-full time workers (40-52weeks) Variables: Visible minority (15) 1. Total - Visible minority 2. Total visible minority population 3. South Asian 4. Chinese 5. Black 6. Filipino 7. Latin American 8. Arab 9. Southeast Asian 10. West Asian 11. Korean 12. Japanese 13. Visible minority, n.i.e. 14. Multiple visible minorities 15. Not a visible minority Commuting duration and distance (18) 1. Total - Commuting duration 2. Less than 15 minutes 3. 15 to 29 minutes 4. 30 to 44 minutes 5. 45 to 59 minutes 6. 60 minutes and over 7. Total - Commuting distance 8. Less than 1 km 9. 1 to 2.9 km 10. 3 to 4.9 km 11. 5 to 6.9 km 12. 7 to 9.9 km 13. 10 to 14.9 km 14. 15 to 19.9 km 15. 20 to 24.9 Km 16. 25 to 29.9 km 17. 30 to 34.9 km 18. 35 km or more Main mode of commuting (7) 1. Total - Main mode of commuting 2. Driver, alone 3. 2 or more persons shared the ride to work 4. Public transit 5. Walked 6. Bicycle 7. Other method Employment income groups in 2015 (39) 1. Total – Total Employment income groups in 2015 2. Without employment income 3. With employment income 4. Less than $30,000 (including loss) 5. $30,000 to $79,999 6. $30,000 to $39,999 7. $40,000 to $49,999 8. $50,000 to $59,999 9. $60,000 to $69,999 10. $70,000 to $79,999 11. $80,000 and above 12. Median employment income ($) 13. Average employment income ($) 14. Total – Male Employment income groups in 2015 15. Without employment income 16. With employment income 17. Less than $30,000 (including loss) 18. $30,000 to $79,999 19. $30,000 to $39,999 20. $40,000 to $49,999 21. $50,000 to $59,999 22. $60,000 to $69,999 23. $70,000 to $79,999 24. $80,000 and above 25. Median employment income ($) 26. Average employment income ($) 27. Total – Female Employment income groups in 2015 28. Without employment income 29. With employment income 30. Less than $30,000 (including loss) 31. $30,000 to $79,999 32. $30,000 to $39,999 33. $40,000 to $49,999 34. $50,000 to $59,999 35. $60,000 to $69,999 36. $70,000 to $79,999 37. $80,000 and above 38. Median employment income ($) 39. Average employment income ($) Industry - North American Industry Classification System (NAICS) 2012 (54) 1. Total - Industry - North American Industry Classification System (NAICS) 2012 2. 11 Agriculture, forestry, fishing and hunting 3. 21 Mining, quarrying, and oil and gas extraction 4. 22 Utilities 5. 23 Construction 6. 236 Construction of buildings 7. 237 Heavy and civil engineering construction 8. 238 Specialty trade contractors 9. 31-33 Manufacturing 10. 311 Food manufacturing 11. 41 Wholesale trade 12. 44-45 Retail trade 13. 441 Motor vehicle and parts dealers 14. 442 Furniture and home furnishings stores 15. 443 Electronics and appliance stores 16. 444 Building material and garden equipment and supplies dealers 17. 445 Food and beverage stores 18. 446 Health and personal care stores 19. 447 Gasoline stations 20. 448 Clothing and clothing accessories stores 21. 451 Sporting goods, hobby, book and music stores 22. 452 General merchandise stores 23. 453 Miscellaneous store retailers 24. 454 Non-store retailers 25. 48-49 Transportation and warehousing 26. 481 Air transportation 27. 482 Rail transportation 28. 483 Water...