Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Vancouver by race. It includes the population of Vancouver across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Vancouver across relevant racial categories.
Key observations
The percent distribution of Vancouver population by race (across all racial categories recognized by the U.S. Census Bureau): 73.53% are white, 2.72% are Black or African American, 0.65% are American Indian and Alaska Native, 5.40% are Asian, 1.64% are Native Hawaiian and other Pacific Islander, 4.97% are some other race and 11.10% are multiracial.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
Racial categories include:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Vancouver Population by Race & Ethnicity. You can refer the same here
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Vancouver by race. It includes the population of Vancouver across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Vancouver across relevant racial categories.
Key observations
The percent distribution of Vancouver population by race (across all racial categories recognized by the U.S. Census Bureau): 70.61% are white, 3.07% are Black or African American, 0.74% are American Indian and Alaska Native, 5.34% are Asian, 1.83% are Native Hawaiian and other Pacific Islander, 6.14% are some other race and 12.26% are multiracial.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Vancouver Population by Race & Ethnicity. You can refer the same here
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
With 3.5 persons per square kilometre, Canada is one of the countries with the lowest population densities in the world. Census metropolitan areas (CMAs) with the highest population densities—Toronto (866), Montréal (854), Vancouver (735), Kitchener (546), Hamilton (505), and Victoria (475)—were located close to United States border.
Estimated number of persons by quarter of a year and by year, Canada, provinces and territories.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Vancouver by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Vancouver. The dataset can be utilized to understand the population distribution of Vancouver by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Vancouver. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Vancouver.
Key observations
Largest age group (population): Male # 25-29 years (8,254) | Female # 25-29 years (7,530). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Vancouver Population by Gender. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Vancouver by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Vancouver across both sexes and to determine which sex constitutes the majority.
Key observations
There is a slight majority of female population, with 50.5% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Vancouver Population by Race & Ethnicity. You can refer the same here
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
With 3.5 persons per square kilometre, Canada is one of the countries with the lowest population densities in the world. Census metropolitan areas (CMAs) with the highest population densities—Toronto (866), Montréal (854), Vancouver (735), Kitchener (546), Hamilton (505), and Victoria (475)—were located close to United States border.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Vancouver population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Vancouver. The dataset can be utilized to understand the population distribution of Vancouver by age. For example, using this dataset, we can identify the largest age group in Vancouver.
Key observations
The largest age group in Vancouver, WA was for the group of age 25 to 29 years years with a population of 15,784 (8.19%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Vancouver, WA was the 80 to 84 years years with a population of 3,700 (1.92%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Vancouver Population by Age. You can refer the same here
https://opendata.vancouver.ca/pages/licence/https://opendata.vancouver.ca/pages/licence/
Customer initiated service requests received by 3-1-1 Contact Centre from 2022. Service requests refer only to those call types that generate a request to a City of Vancouver department to provide service.This dataset contains location information such as address or intersection where service was requested and the local area corresponding to the case (incident) location. Due to the volume of records, we segmented the service requests data into multiple datasets. See 3-1-1 service requests 2009-2021 dataset for records from 2009 to 2021. NoteThe 3-1-1 case management system started collecting case service requests data on June 1, 2009. The system was upgraded on August 17, 2022. Department, Division or Call Types beginning with ZZ – OLD refers to obsolete types used in the past. Generally, another call type within the same division, or another division within the same department replaced the obsolete type. When reviewing case location data spatially, consideration should be given to the City’s urban attributes such as vegetation density, population density, age of infrastructure asset, area specific bylaws, etc. Some case types are associated with city locations. Data currencyRecords on or after August 17, 2022 are refreshed daily. Records prior to this date are static. Data accuracyData are electronically extracted from the 3-1-1 case management system.Address data of some selected service request types is not disclosed to provide privacy protection.There may be addresses that do not return coordinates in the gecoding process. These records will appear in the Table view but not on the Map. Websites for further informationContact the City of Vancouver
https://borealisdata.ca/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.5683/SP3/IYYVJXhttps://borealisdata.ca/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.5683/SP3/IYYVJX
AbstractCities can have profound impacts on ecosystems, yet our understanding of these impacts is currently limited. First, the effects of socioeconomic dimensions of human society are often overlooked. Second, correlative analyses are common, limiting our causal understanding of mechanisms. Third, most research has focused on terrestrial systems, ignoring aquatic systems that also provide important ecosystem services. Here we compare the effects of human population density and low-income prevalence on the macroinvertebrate communities and ecosystem processes within water-filled artificial tree holes. We hypothesized that these human demographic variables would affect tree holes in different ways via changes in temperature, water nutrients, and the local tree hole environment. We recruited community scientists across Greater Vancouver (Canada) to provide host trees and tend 50 tree holes over 14 weeks of colonization. We quantified tree hole ecosystems in terms of aquatic invertebrates, litter decomposition, and chlorophyll-a. We compiled potential explanatory variables from field measurements, satellite images, or census databases. Using structural equation models, we showed that invertebrate abundance was affected by low-income prevalence but not human population density. This was driven by cosmopolitan species of Ceratopogonidae (Diptera) with known associations to anthropogenic containers. Invertebrate diversity and abundance were also affected by environmental factors, such as temperature, elevation, water nutrients, litter quantity, and exposure. By contrast, invertebrate biomass, chlorophyll-a, and litter decomposition were not affected by any measured variables. In summary, this study shows that some urban ecosystems can be largely unaffected by human population density. Our study also demonstrates the potential of using artificial tree holes as a standardized, replicated habitat for studying urbanization. Finally, by combining community science and urban ecology, we were able to involve our local community in this pandemic research pivot. This abstract is quoted from the original article "Insects in the city: Determinants of a contained aquatic microecosystem across an urbanized landscape" in Ecology (2023) by DS Srivastava et al. MethodsThese methods are quoted in abbreviated form from the original article [please also see README.md file for details on each script and data file, including description of every variable]: We installed 73 artificial tree holes (hereafter tree holes) throughout Greater Vancouver, specifically the cities of Vancouver, Abbottsford, Burnaby, Chilliwack, Delta, Maple Ridge, New Westminster, North Vancouver, Port Moody, Richmond, Surrey, and West Vancouver. We constructed artificial tree holes from black plastic buckets (950 ml, height: 12.2cm, diameter:11.5cm). Near the rim, we drilled 1-cm holes for water overflow and covered these with 1mm mesh to prevent loss of insects and litter (Figure 2a). We attached each tree hole to a deciduous tree with a cable tie, about 1.3 m above ground, before adding leaf litter and bottled spring water. The leaf litter consisted of dried (60°C for two days) and pre-weighed Acer macrophyllum (Sapindaceae) leaves collected in November 2020, both loose (2.50 g) and in a 0.5 mm mesh leaf bag (0.200 g). We filled each tree hole with ~750 ml spring water (Western FamilyTM). Community scientists were instructed to monitor water level in the tree holes during the experiment, topping up tree holes when they became half-empty with extra bottles of water (same brand) that we provided. We also added an iButtonTM temperature logger (Maxim Integrated, San Jose, CA, USA; models DS1921G, DS1921Z, and DS1922L) wrapped in ParafilmTM (Beemis Company, Neenah, WI, USA) and programmed it to collect data every hour for 85 days. We added a small stick to assist ovipositing insects to perch or pupating insects to emerge. We installed all tree holes 21–28 March 2021. We visited all tree holes 17–30 May 2021, to collect data on water chemistry (pH, chlorophyll-a concentration), light availability (canopy cover), potential oviposition cues (host tree diameter, nearby standing water), and potential source populations (distance to water bodies). We measured water pH directly using a calibrated OaktonⓇ pH 450 pH meter. To estimate chlorophyll-a concentration, we extracted 25 mL of water, filtered it through a glass microfiber (0.7 μm) filter, and froze the filters. In the lab, we extracted chlorophyll-a on filters with 90%-acetone. We used a Trilogy Laboratory Fluorometer (Turner Designs, San Jose, CA, USA) to determine chlorophyll-a concentration following Wasmund et al. (2006). To measure canopy cover, we took a photograph directly up by placing a smartphone flat on the tree hole and then used ImageJTM to differentiate open sky from any obstructing cover. We searched within 30m of tree holes for sources of persistent standing water, such as buckets, birdbaths,...
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
In Ontario, British Columbia and in the three Prairie Provinces live 80% of the Aboriginal population of Canada. The most populous province, Ontario, is also the one with the highest number of Aboriginal people, (about 142 000). These people are often integrated in the large centres in the south of the province. British Columbia has almost as many Aboriginal people: 140 000. They are concentrated on Vancouver Island and around Vancouver, but can also be found almost everywhere in this province, which has the largest number of Indian reserves and settlements. In the Prairie Provinces, there are about 363 000 Aboriginal people, divided between Manitoba (128 700), Alberta (122 900) and Saskatchewan (111 300).
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
The plate contains four maps of 60 minute rainfalls (in millimetres) for a 2 year return period, a 5 year return period, a 10 year return period and a 25 year return period. Each map has a detailed inset of the Vancouver area. These four maps were not analyzed for the mountainous parts of Canada in British Columbia and the Yukon because of the limited number of stations, the non-representative nature of the valley stations and the variability of precipitation owing to the orographic effects. From the incomplete data, it is impossible to draw accurate isolines of short duration rainfall amounts on maps of national scale. Point values for all stations west of the Rocky Mountain range and in the Yukon have been plotted for durations of less than 24 hours. For the Vancouver metropolitan area, recording rain gauges have been in operation for several years. For some of these stations point rainfall data have been plotted on inset maps. The density of climatological stations varies widely as does population density. In general, the accuracy of the analysis increases with station density. North of latitude 55 degrees North, there are only five stations. Therefore, the isoline analyses represent extrapolations beyond the station values. Whenever sufficient data were available for interpretation, isolines were drawn as solid lines. The scale of the map used for Canada dictates the use of an isoline interval of 8 millimetres.
https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy
The Canadian residential construction market exhibits robust growth potential, driven by a consistently increasing population, urbanization trends, and government initiatives promoting affordable housing. The market, valued at approximately $100 billion CAD in 2025 (estimated based on provided CAGR and market size information), is projected to experience a Compound Annual Growth Rate (CAGR) exceeding 5% through 2033. This expansion is fueled by strong demand in major cities like Toronto, Vancouver, Calgary, and Montreal, where population density and economic activity are high. While rising material costs and labor shortages pose challenges, innovative construction techniques and technological advancements are mitigating these restraints to some extent. The market segmentation reveals a significant share for multi-family dwellings, reflecting the increasing preference for apartments and condos in urban centers. The leading players, including PCL Construction, EllisDon, and others, are strategically positioning themselves to capitalize on this growth, focusing on sustainable and efficient building practices. The forecast indicates continued expansion across diverse segments. Single-family home construction, while vital, will likely witness more moderate growth compared to the multi-family segment. Regional variations will persist, with larger metropolitan areas experiencing faster growth than smaller cities and rural areas. Government policies influencing mortgage rates, building permits, and environmental regulations will play a critical role in shaping market trajectories. The continued focus on sustainable construction, energy efficiency, and smart home technologies will further drive innovation and attract investment in the sector. However, sustained economic growth and stable interest rates are crucial to maintain this positive momentum. Ongoing monitoring of inflation and material prices will be vital for accurate forecasting. Recent developments include: September 2022: PCL Construction was awarded Kindred Resort - Keystone's first major development in River Run in 20 years. This USD 184 million, 321,000 square-foot mixed-use development, designed by OZ Architecture, will consist of 95 luxury ski-in/ski-out condominiums and a 107-key full-service hotel, all just steps away from the River Run Gondola at Keystone Ski Resort. The development also includes 25,000 square feet of commercial space for restaurants, retail, and amenities including a pool, spa, fitness center, ski club, and event space. Preliminary construction activities are underway to relocate utilities. Construction will continue year-round and is scheduled for completion in June 2025., January 2023: PCL Construction broke ground on Schnitzer West Living's luxury residential community, the Avant, in the Denver Tech Center. The Avant is situated on the corner of Greenwood Plaza Boulevard and East Caley Avenue. The property includes 337 highly curated for-rent residences, complete with modern amenities and a two-level indoor structured parking garage with a capacity for roughly 450 cars. Residents will enjoy commanding views of the surrounding mountains year-round from their homes and the property's outdoor pool and hot tub. The property is Schnitzer West's first multifamily residential building, bringing luxurious living experiences to Denver's Tech Center.. Notable trends are: Drop in Building Permits Due to High Interest Rates.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Vancouver, WA population pyramid, which represents the Vancouver population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Vancouver Population by Age. You can refer the same here
https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy
The Canadian luxury housing market, encompassing high-end apartments, condominiums, villas, and landed houses, is experiencing robust growth, driven by several factors. Strong economic performance in major cities like Toronto, Vancouver, and Calgary, coupled with increasing high-net-worth individuals and foreign investment, fuels demand for premium properties. The limited supply of luxury housing, particularly in desirable urban locations, further contributes to price escalation. While rising interest rates present a potential headwind, the overall market remains resilient due to persistent demand from domestic and international buyers seeking exclusive residences. The market segmentation reveals variations in performance across property types and cities. Toronto and Vancouver consistently rank among the most expensive markets globally, attracting significant investment. While the "Other Cities" segment experiences growth, its pace lags behind the top-tier urban centres due to factors such as lower population density and reduced economic activity compared to the major hubs. This dynamic creates opportunities for developers catering to the specific preferences within each segment. Looking ahead, the Canadian luxury housing market is projected to maintain a compound annual growth rate (CAGR) exceeding 10% throughout the forecast period (2025-2033). Several trends are expected to shape market evolution, including the growing popularity of sustainable and smart-home features, an increasing preference for larger living spaces, and a rise in demand for properties with proximity to amenities and green spaces. However, regulatory changes aiming to cool down the market, such as stricter mortgage rules or increased property taxes, could act as restraints on future growth. Key players such as Westbank Corp, Mattamy Homes, and Oxford Properties Group, amongst others, continue to dominate the market through strategic acquisitions and new development projects. International market dynamics and global economic conditions may also impact investment flows into the Canadian luxury housing sector, shaping overall market performance in the coming years. Recent developments include: October 2021: The CHEO Foundation gave the first look inside Minto Dream Home, the 'Caraway.' The Minto Dream Home on Skysail Place is a customized bungalow, situated on an oversized corner lot. It's a collaboration by the Minto Group (a Canadian real estate company) with Tanya Collins Design (a residential and commercial interior designer). The Caraway features beautiful views of the Mahogany Pond with an incredible wrap-around porch to enjoy the views and the outdoors, while inside the 4,603 square-foot floor plan offers plenty of space. The Minto Dream Home has a net-zero approach to minimize its carbon footprint and improve the wellness of the planet., March 2021: Skydev (a real estate development and construction oversight company), held a private ceremony to celebrate the start of the development's construction. The new development, called Southfield Green, is owned by Skyline Apartment REIT (a private Canadian real estate investment trust). Once the development is complete, the complex will be managed by Skyline Living (a Canadian residential property management company). The Southfield Green development will comprise a four-storey complex with luxury suites and on-site amenities, including an indoor/outdoor lounge and terrace, a dog run, and an on-site gym and yoga studio. The site is well located within walking distance of grocery stores, restaurants, and transit. The suites will boast fantastic views of the adjacent Southfield Park.. Notable trends are: Pandemic Accelerated Luxury Home Sales in Major Canadian Markets.
https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy
The Canadian residential real estate market, valued at approximately $XX million in 2025, is projected to experience steady growth with a Compound Annual Growth Rate (CAGR) of 3.20% from 2025 to 2033. This growth is driven by several factors, including a growing population, particularly in major urban centers like Toronto, Vancouver, and Montreal, increasing urbanization, and a persistent demand for housing across various segments, from apartments and condominiums to villas and landed houses. Strong immigration numbers and a relatively robust economy contribute to sustained demand, although affordability concerns, particularly in high-density areas, represent a significant challenge. Government policies aimed at addressing housing affordability and supply shortages will play a crucial role in shaping the market's trajectory in the coming years. Competition among major developers like Aquilini Development, Bosa Properties, and Brookfield Asset Management, along with numerous smaller players, will continue to influence pricing and innovation within the sector. The market segmentation reveals significant regional disparities. Toronto, Vancouver, and Montreal consistently dominate the market share due to their economic dynamism and population density. However, cities like Calgary and Ottawa also contribute substantially, reflecting regional economic variations and the distribution of population growth across the country. While the apartment and condominium segment holds a considerable share, the demand for villas and landed houses remains significant, particularly in suburban and rural areas. The forecast period anticipates continued growth, but at a moderated pace compared to previous periods of rapid expansion, reflecting a more balanced market characterized by increasing affordability concerns and adjustments in government regulations. The consistent presence of established players and emerging developers indicates a dynamic and competitive landscape. Recent developments include: October 2022: Dye & Durham Limited ("Dye & Durham") and Lone Wolf Technologies ("Lone Wolf") have announced a brand-new integration that was created specifically for CREA WEBForms powered by Transactions (TransactionDesk Edition) to enable access to and communication with legal services., September 2022: ApartmentLove Inc., based in Calgary, has recently acquired OwnerDirect.com and finalized a rental listing license agreement with a significant U.S. aggregator as part of its ongoing acquisition and partnership plans. In 30 countries, ApartmentLove (APLV-CN) offers online house, apartment, and vacation rental marketing services.. Key drivers for this market are: Population Growth is the main driving factor, Government Initiatives and Regulatory Aspects for the Residential Real Estate Sector. Potential restraints include: Housing Supply Shortage, Interest rates and Financing. Notable trends are: Immigration Policies are Driving the Market.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Non-Hispanic population of Vancouver by race. It includes the distribution of the Non-Hispanic population of Vancouver across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Vancouver across relevant racial categories.
Key observations
Of the Non-Hispanic population in Vancouver, the largest racial group is White alone with a population of 125,960 (78.93% of the total Non-Hispanic population).
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Vancouver Population by Race & Ethnicity. You can refer the same here
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
In Ontario, British Columbia and in the three Prairie Provinces live 80% of the Aboriginal population of Canada. The most populous province, Ontario, is also the one with the highest number of Aboriginal people, (about 142 000). These people are often integrated in the large centres in the south of the province. British Columbia has almost as many Aboriginal people: 140 000. They are concentrated on Vancouver Island and around Vancouver, but can also be found almost everywhere in this province, which has the largest number of Indian reserves and settlements. In the Prairie Provinces, there are about 363 000 Aboriginal people, divided between Manitoba (128 700), Alberta (122 900) and Saskatchewan (111 300).
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
The Olympia oyster (Ostrea lurida Carpenter, 1864) is one of four species of oysters established in British Columbia (BC), Canada, and the only naturally occurring oyster in BC (Bourne 1997; Gillespie 1999, 2009). O. lurida reaches the northern limit of its range in the Central Coast of British Columbia at Gale Passage, Campbell Island, approximately 52°12’N, 128°24’W (Gillespie 2009). First Nations historically utilized Olympia oysters for food and their shells for ornamentation (Ellis and Swan 1981; Harbo 1997). European settlers harvested Olympia oysters commercially from the early 1800s until the early 1930s when stocks became depleted and the industry moved towards other larger, introduced oyster species (Bourne 1997; Quayle 1988). Since that time, Olympia oysters have likely maintained stable populations in BC, but have not recovered to abundance levels observed prior to the late 1800s (Gillespie 1999, 2009). Olympia oysters were designated a species of Special Concern by the Committee on the Status of Endangered Wildlife in Canada (COSEWIC) in 2000 and 2010 and listed under the Species at Risk Act (SARA) in 2003 (DFO 2009; COSEWIC 2011). A management plan was developed and posted to the SARA Public Registry in 2009 (DFO 2009). One of the objectives of this plan was to ensure maintenance of the relative abundance (density) of Olympia oyster at index sites. The plan also recommended development of a survey protocol for determining relative abundance (density) estimates. In response, a Canadian Science Advisory Secretariat (CSAS) Research Document was completed recommending a survey method for Olympia oysters (Norgard et al. 2010); a CSAS Science Advisory Report (DFO 2010) for selection of index sites was also completed. Thirteen index sites were chosen from a mixture of previously surveyed sites, and by random site selection. In 2014, a fourteenth site was added at Joes Bay in the Broken Group area in partnership with Parks Canada. The selected sites provided a representative sample of Olympia oyster populations in different geographic zones in the Pacific region and span the much of the range of Olympia oysters in BC. The number of sites was reduced to six in 2018 so that annual surveys could be completed to better understand population dynamics and identify long-term trends.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Context
The dataset tabulates the population of Vancouver by race. It includes the population of Vancouver across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Vancouver across relevant racial categories.
Key observations
The percent distribution of Vancouver population by race (across all racial categories recognized by the U.S. Census Bureau): 73.53% are white, 2.72% are Black or African American, 0.65% are American Indian and Alaska Native, 5.40% are Asian, 1.64% are Native Hawaiian and other Pacific Islander, 4.97% are some other race and 11.10% are multiracial.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
Racial categories include:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Vancouver Population by Race & Ethnicity. You can refer the same here