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

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.

Estimated number of persons on July 1, by 5-year age groups and gender, and median age, for Canada, provinces and territories.

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

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 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.

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 dataset contains global, city-level population data from 3700 BC - AD 1000 for 154 cities in .csv form.Version 2 removes spaces after some city names which could also be done programmatically after the dataset is combined and corrects the spelling of Istanbul, Turkey in one instance.

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).

This dataset contains global, city-level population data from 2250 BC - AD 1975 for 1,587 cities in .csv form.Version 2 removes spaces after some city names which can also be done programmatically after the datasets are combined. It also corrects/combines the spelling of one city - Magdeburg, Germany and updates Kiev's country name to Ukraine.

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

Disclaimer on releasing the dataset

The release of Vancouver Police Department (VPD) crime data is intended to enhance community awareness of policing activity in Vancouver. Users are cautioned not to rely on the information provided to make decisions about the specific safety level of a specific location or area. By using this data the user agrees and understands that neither the Vancouver Police Department, Vancouver Police Board nor the City of Vancouver assumes liability for any decisions made or actions taken or not taken by the user in reliance upon any information or data provided.

While every effort has been made to be transparent in this process, users should be aware that the data is designed to provide individuals with a general overview of incidents falling into several crime categories. The information provided therefore does not reflect the total number of calls or complaints made to the VPD.

The data provided is based upon the information contained in the VPD Records Management System. The crime classification and file status may change at any time based on the dynamic nature of police investigations.

The VPD has taken great care to protect the privacy of all parties involved in the incidents reported. No personal or identifying information has been provided in the data. Locations for reported incidents involving Offences Against a Person have been deliberately randomized to several blocks and offset to an intersection. No time or street location name will be provided for these offences. For property-related offenses, the VPD has provided the location to the hundred block of these incidents within the general area of the block. All data must be considered offset and users should not interpret any locations as related to a specific person or specific property.

Content

What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.

Acknowledgements

Vancouver Police Department

Inspiration

Can we predict what kind of crimes can occur in 2020 and to what extent?

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

This data contains the current caribou subpopulation (herd) boundaries. Herd boundaries are derived from the best available science and expert knowledge. A caribou subpopulation (herd) boundary is the area required to be managed to achieve a self-sustaining population. Subpopulation boundaries do not overlap even though some caribou subpopulations share portions of their annual range.

British Columbia Greenhouse Gas Emissions (GHG) are published annually by the Province of British Columbia. CURRENT estimates of GHG emissions since 1990 are available here. These data files are the ARCHIVED estimates of GHG emissions and related information published in previous years. Methods for estimating annual GHG emissions are improved every year and updated methods are used to backcast for the entire data time series. Every year a new time series is published, replacing previous year published values. These data are considered deprecated and should not be used for any current analyses. They are provided however for transparency and reproducability of historical analyses. (1) B.C. GHG Emissions: These datasets contain the B.C. GHG emissions for different GHG source categories in kilotonnes (kt CO2e) published in previous calendar years. Starting in data reporting year 2018, there is one file reporting GHG emissions broken down by IPCC sector, and one breaking down emissions by Canadian economic sectors. (2) B.C. GHG Related Data: These datasets contain annual summaries of total and per capita GHG emissions (kilotonnes CO2e), population size (# persons on July 1), and total and per capita GDP (Cansim 384-0038; $million, 2007 chained) for B.C. published in previous calendar years. Annual GDP and population data were originally sourced from Statistics Canada under the Statistics Canada Open License Agreement. (3) B.C. GHG emission metadata: These files contain metadata in support of the B.C. GHG emissions datasets.

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 table contains 2394 series, with data for years 1991 - 1991 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Population group (19 items: Entire cohort; Income adequacy quintile 1 (lowest);Income adequacy quintile 2;Income adequacy quintile 3 ...), Age (14 items: At 25 years; At 30 years; At 40 years; At 35 years ...), Sex (3 items: Both sexes; Females; Males ...), Characteristics (3 items: Life expectancy; High 95% confidence interval; life expectancy; Low 95% confidence interval; life expectancy ...).

Incident-based crime statistics (actual incidents, rate per 100,000 population, percentage change in rate, unfounded incidents, percent unfounded, total cleared, cleared by charge, cleared otherwise, persons charged, adults charged, youth charged / not charged), by detailed violations (violent, property, traffic, drugs, other Federal Statutes), police services in British Columbia, 1998 to 2023.