About this dataset

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) 2018-2022 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

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Vancouver, WA, is 27.4.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Vancouver, WA, is 24.5.
• Total dependency ratio for Vancouver, WA is 51.9.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Vancouver, WA is 4.1.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Vancouver population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Vancouver for the selected age group is shown in the following column.
• Population (Female): The female population in the Vancouver for the selected age group is shown in the following column.
• Total Population: The total population of the Vancouver for the selected age group is shown in the following column.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Vancouver Population by Age. You can refer the same here

About this dataset

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 15,652 (8.21%), according to the ACS 2018-2022 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 3,670 (1.92%). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Vancouver is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Vancouver total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Vancouver Population by Age. You can refer the same here

About this dataset

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 (8,146) | Female # 25-29 years (7,506). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

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

• Age Group: This column displays the age group for the Vancouver population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Vancouver is shown in the following column.
• Population (Female): The female population in the Vancouver is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Vancouver for each age group.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Vancouver Population by Gender. You can refer the same here

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

This dataset includes Statistics Canada table 46-10-0026-01, titled “Immigrant status and selected admission categories for residential property owners in the census metropolitan areas of Toronto and Vancouver”. 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 Statistics Program by Statistics Canada. Geographies: Vancouver Census Metropolitan Area

About this dataset

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.

Content

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:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Vancouver
• Population: The population of the racial category (excluding ethnicity) in the Vancouver is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Vancouver total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Vancouver Population by Race & Ethnicity. You can refer the same here

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 includes Statistics Canada table 46-10-0047-01, titled “Total income and characteristics of owners and tax filers who do not own residential property”. The table has been edited to include only geographies from British Columbia and to have the unique ID numbers added to the Census Subdivisions and Census Metropolitan Areas. 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 Statistics Program by Statistics Canada. Geographies: British Columbia, Abbotsford-Mission, census metropolitan area, Abbotsford, Mission, Kelowna, census metropolitan area, Central Okanagan, Central Okanagan J, Kelowna, Lake Country, Peachland, West Kelowna, Vancouver, census metropolitan area, Anmore, Bowen Island, Burnaby, Coquitlam, Delta, Langley, city, Langley, municipal district, Lions Bay, Maple Ridge, Metro Vancouver A, New Westminster, North Vancouver, city, North Vancouver, municipal district, Pitt Meadows, Port Coquitlam, Port Moody, Surrey, Vancouver, West Vancouver, White Rock, Victoria, census metropolitan area, Central Saanich, Colwood, Esquimalt, Highlands, Juan de Fuca (Part 1), Langford, Metchosin, North Saanich, Oak Bay, Saanich, Sooke, Victoria, View Royal, British Columbia, outside of census metropolitan areas, Alberni-Clayoquot A, Alberni-Clayoquot B, Alberni-Clayoquot C, Alberni-Clayoquot D, Alberni-Clayoquot E, Alberni-Clayoquot F, Alert Bay, Armstrong, Ashcroft, Barriere, Bulkley-Nechako A, Bulkley-Nechako C, Bulkley-Nechako D, Bulkley-Nechako E, Bulkley-Nechako F, Bulkley-Nechako G, Burns Lake, Cache Creek, Campbell River, Canal Flats, Cariboo A, Cariboo B, Cariboo C, Cariboo D, Cariboo E, Cariboo F, Cariboo H, Cariboo I, Cariboo J, Cariboo K, Cariboo L, Castlegar, Central Coast A, Central Coast C, Central Coast D, Central Coast E, Central Kootenay A, Central Kootenay B, Central Kootenay C, Central Kootenay D, Central Kootenay E, Central Kootenay G, Central Kootenay H, Central Kootenay I, Central Kootenay J, Central Kootenay K, Chase, Chetwynd, Chilliwack, Clearwater, Clinton, Coldstream, Columbia-Shuswap A, Columbia-Shuswap B, Columbia-Shuswap C, Columbia-Shuswap D, Columbia-Shuswap F, Comox, Comox Valley A, Comox Valley B (Lazo North), Comox Valley C (Puntledge - Black Creek), Courtenay, Cowichan Valley A, Cowichan Valley B, Cowichan Valley C, Cowichan Valley D, Cowichan Valley E, Cowichan Valley F, Cowichan Valley G, Cowichan Valley H, Cowichan Valley I, Creston, Cumberland, Dawson Creek, Duncan, East Kootenay A, East Kootenay B, East Kootenay C, East Kootenay E, East Kootenay F, East Kootenay G, Elkford, Enderby, Fernie, Fort St. James, Fort St. John, Fraser Valley A, Fraser Valley B, Fraser Valley C, Fraser Valley D, Fraser Valley E, Fraser Valley F, Fraser Valley G, Fraser Valley H, Fraser-Fort George A, Fraser-Fort George C, Fraser-Fort George D, Fraser-Fort George E, Fraser-Fort George F, Fraser-Fort George G, Fraser-Fort George H, Gibsons, Gold River, Golden, Grand Forks, Granisle, Greenwood, Harrison Hot Springs, Hazelton, Hope, Houston, Hudson's Hope, Invermere, Juan de Fuca (Part 2), Kamloops, Kaslo, Keremeos, Kimberley, Kitimat, Kitimat-Stikine A, Kitimat-Stikine B, Kitimat-Stikine C (Part 1), Kitimat-Stikine C (Part 2), Kitimat-Stikine D, Kitimat-Stikine E, Kitimat-Stikine F, Kootenay Boundary A, Kootenay Boundary B / Lower Columbia-Old-Glory, Kootenay Boundary C / Christina Lake, Kootenay Boundary D / Rural Grand Forks, Kootenay Boundary E / West Boundary, Lake Cowichan, Lantzville, Lillooet, Logan Lake, Lumby, Lytton, Mackenzie, Masset, McBride, Merritt, Midway, Montrose, Mount Waddington A, Mount Waddington B, Mount Waddington C, Nakusp, Nanaimo, Nanaimo A, Nanaimo B, Nanaimo C, Nanaimo E, Nanaimo F, Nanaimo G, Nanaimo H, Nelson, New Denver, New Hazelton, North Coast A, North Coast C, North Coast D, North Cowichan, North Okanagan B, North Okanagan C, North Okanagan D, North Okanagan E, North Okanagan F, Northern Rockies, Okanagan-Similkameen A, Okanagan-Similkameen B, Okanagan-Similkameen C, Okanagan-Similkameen D, Okanagan-Similkameen E, Okanagan-Similkameen F, Okanagan-Similkameen G, Okanagan-Similkameen H, One Hundred Mile House, Osoyoos, Parksville, Peace River B, Peace River C, Peace River D, Peace River E, Pemberton, Penticton, Port Alberni, Port Alice, Port Clements, Port Edward, Port Hardy, Port McNeill, Powell River, Powell River A, Powell River B, Powell River C, Powell River D, Powell River E, Prince George, Prince Rupert, Princeton, Qualicum Beach, Queen Charlotte, Quesnel, Radium Hot Springs, Revelstoke, Rossland, Salmon Arm, Saltspring Island, Sayward, Sechelt, Sicamous, Silverton, Slocan, Smithers, Southern Gulf Islands, Spallumcheen, Sparwood, Squamish, Squamish-Lillooet A, Squamish... Visit https://dataone.org/datasets/sha256%3A4094e1777703c277dc05c3a8a8a0d8d4db1b78c5850736f2b3dffee304fa2f06 for complete metadata about this dataset.

About this dataset

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 50.62% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Vancouver is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Vancouver total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Vancouver Population by Race & Ethnicity. You can refer the same here

This dataset includes Statistics Canada table 46-10-0049-01, titled “Total family income and owner characteristics at the residential property level”. The dataset has been split up into three tables: Table A includes the number of properties and average assessment value of properties by the property type (eg. detached house, condominium), and by family type (lone-parent family, couple family, and other census family). Table B includes includes the number of properties and average assessment value of properties by the property type (eg. detached house, condominium), and by pension income categories (eg. whether or not the owner of the property is receiving a pension). Table C includes includes includes the number of properties and average assessment value of properties by the property type (eg. detached house, condominium), and by residency participation types (eg. whether the property is owned by resident owners only or a mix of resident and non-resident owners). The table has been edited to include only geographies from British Columbia and to have the unique ID numbers added to the Census Subdivisions and Census Metropolitan Areas. 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 Statistics Program by Statistics Canada. Geographies: British Columbia, Abbotsford-Mission, census metropolitan area, Abbotsford, Mission, Kelowna, census metropolitan area, Central Okanagan, Central Okanagan J, Kelowna, Lake Country, Peachland, West Kelowna, Vancouver, census metropolitan area, Anmore, Belcarra, Bowen Island, Burnaby, Coquitlam, Delta, Langley, city, Langley, municipal district, Lions Bay, Maple Ridge, Metro Vancouver A, New Westminster, North Vancouver, city, North Vancouver, municipal district, Pitt Meadows, Port Coquitlam, Port Moody, Richmond, Surrey, Vancouver, West Vancouver, White Rock, Victoria, census metropolitan area, Central Saanich, Colwood, Esquimalt, Highlands, Juan de Fuca (Part 1), Langford, Metchosin, North Saanich, Oak Bay, Saanich, Sidney, Sooke, Victoria, View Royal, British Columbia, outside of census metropolitan areas, Alberni-Clayoquot A, Alberni-Clayoquot B, Alberni-Clayoquot C, Alberni-Clayoquot D, Alberni-Clayoquot E, Alberni-Clayoquot F, Alert Bay, Armstrong, Ashcroft, Barriere, Bulkley-Nechako A, Bulkley-Nechako B, Bulkley-Nechako C, Bulkley-Nechako D, Bulkley-Nechako E, Bulkley-Nechako F, Bulkley-Nechako G, Burns Lake, Cache Creek, Campbell River, Canal Flats, Cariboo A, Cariboo B, Cariboo C, Cariboo D, Cariboo E, Cariboo F, Cariboo G, Cariboo H, Cariboo I, Cariboo J, Cariboo K, Cariboo L, Castlegar, Central Coast A, Central Coast C, Central Coast D, Central Coast E, Central Kootenay A, Central Kootenay B, Central Kootenay C, Central Kootenay D, Central Kootenay E, Central Kootenay F, Central Kootenay G, Central Kootenay H, Central Kootenay I, Central Kootenay J, Central Kootenay K, Chase, Chetwynd, Chilliwack, Clearwater, Clinton, Coldstream, Columbia-Shuswap A, Columbia-Shuswap B, Columbia-Shuswap C, Columbia-Shuswap D, Columbia-Shuswap E, Columbia-Shuswap F, Comox, Comox Valley A, Comox Valley B (Lazo North), Comox Valley C (Puntledge - Black Creek), Courtenay, Cowichan Valley A, Cowichan Valley B, Cowichan Valley C, Cowichan Valley D, Cowichan Valley E, Cowichan Valley F, Cowichan Valley G, Cowichan Valley H, Cowichan Valley I, Cranbrook, Creston, Cumberland, Dawson Creek, Duncan, East Kootenay A, East Kootenay B, East Kootenay C, East Kootenay E, East Kootenay F, East Kootenay G, Elkford, Enderby, Fernie, Fort St. James, Fort St. John, Fraser Lake, Fraser Valley A, Fraser Valley B, Fraser Valley C, Fraser Valley D, Fraser Valley E, Fraser Valley F, Fraser Valley G, Fraser Valley H, Fraser-Fort George A, Fraser-Fort George C, Fraser-Fort George D, Fraser-Fort George E, Fraser-Fort George F, Fraser-Fort George G, Fraser-Fort George H, Fruitvale, Gibsons, Gold River, Golden, Grand Forks, Granisle, Greenwood, Harrison Hot Springs, Hazelton, Hope, Houston, Hudson's Hope, Invermere, Juan de Fuca (Part 2), Kamloops, Kaslo, Kent, Keremeos, Kimberley, Kitimat, Kitimat-Stikine A, Kitimat-Stikine B, Kitimat-Stikine C (Part 1), Kitimat-Stikine C (Part 2), Kitimat-Stikine D, Kitimat-Stikine E, Kitimat-Stikine F, Kootenay Boundary A, Kootenay Boundary B / Lower Columbia-Old-Glory, Kootenay Boundary C / Christina Lake, Kootenay Boundary D / Rural Grand Forks, Kootenay Boundary E / West Boundary, Ladysmith, Lake Cowichan, Lantzville, Lillooet, Logan Lake, Lumby, Lytton, Mackenzie, Masset, McBride, Merritt, Midway, Montrose, Mount Waddington A, Mount Waddington B, Mount Waddington C, Mount Waddington D, Nakusp, Nanaimo, Nanaimo A, Nanaimo B, Nanaimo C, Nanaimo E, Nanaimo F, Nanaimo G, Nanaimo H, Nelson, New Denver, New Hazelton, North Coast A, North Coast C, North Coast D, North Coast E, North Cowichan, North Okanagan B, North Okanagan C, North Okanagan...

About this dataset

Context

The dataset tabulates the Vancouver population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Vancouver. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 118,923 (62.36% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Vancouver population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Vancouver is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Vancouver is shown in the following column.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Vancouver Population by Age. You can refer the same here

United States PH: Authorized: 1 Unit: Portland-Vancouver-Hillsboro: OR-WA data was reported at 615.000 Unit in Jun 2018. This records a decrease from the previous number of 635.000 Unit for May 2018. United States PH: Authorized: 1 Unit: Portland-Vancouver-Hillsboro: OR-WA data is updated monthly, averaging 576.000 Unit from Jan 2000 (Median) to Jun 2018, with 222 observations. The data reached an all-time high of 1,227.000 Unit in Aug 2005 and a record low of 111.000 Unit in Dec 2008. United States PH: Authorized: 1 Unit: Portland-Vancouver-Hillsboro: OR-WA data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.EA013: Private Housing Units: Authorized: By Metropolitan Area: 1 Unit.

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 46-10-0048-01, titled “Total income and characteristics of single-property owners by home buyers’ amount (HBA) claimant status”. The table has been edited to include only geographies from British Columbia and to have the unique ID numbers added to the Census Metropolitan Areas. 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 Statistics Program by Statistics Canada. Geographies: British Columbia, Abbotsford-Mission, census metropolitan area, Kelowna, census metropolitan area, Vancouver, census metropolitan area, Victoria, census metropolitan area, British Columbia - Outside of census metropolitan areas

The dataset titled "Number and assessment value of residential properties, by condominium status and residency status, census metropolitan area of Toronto and Vancouver and their census subdivisions" is a comprehensive collection of data related to residential properties in the metropolitan areas of Toronto and Vancouver. It is categorized under tags such as Economics and Industry, Housing Potential, Society and Culture, business performance and ownership, construction, dwelling characteristics, housing, municipal and local data, property values, and table. The dataset was published on June 25, 2018, by Statistics Canada, a reputable organization in the field. The dataset provides detailed information on the number and the assessment value of residential properties, including their condominium status and residency type. The dataset is sourced from a reliable provider, although the exact source is not specified. It is licensed under the Open Government Licence - Canada, which allows for open access and usage. The resources available in the dataset include multiple datasets and supporting documents. The metadata for this dataset was created on October 1, 2024, and was last modified on April 8, 2025. The owner and author of the dataset are both from Statistics Canada, and can be contacted via the email address infostats@statcan.gc.ca.

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

About this dataset

Context

The dataset tabulates the Vancouver Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of Vancouver, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of Vancouver.

Key observations

Among the Hispanic population in Vancouver, regardless of the race, the largest group is of Mexican origin, with a population of 22,500 (76.56% of the total Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Origin for Hispanic or Latino population include:

• Mexican
• Puerto Rican
• Cuban
• Other Hispanic or Latino

Variables / Data Columns

• Origin: This column displays the origin for Hispanic or Latino population for the Vancouver
• Population: The population of the specific origin for Hispanic or Latino population in the Vancouver is shown in this column.
• % of Total Hispanic Population: This column displays the percentage distribution of each Hispanic origin as a proportion of Vancouver total Hispanic or Latino population. Please note that the sum of all percentages may not equal one due to rounding of values.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Vancouver Population by Race & Ethnicity. You can refer the same here

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

Hong Kong Containers: Laden: DI: North America: Canada: Vancouver data was reported at 14.000 TEU th in Sep 2018. This records a decrease from the previous number of 18.000 TEU th for Jun 2018. Hong Kong Containers: Laden: DI: North America: Canada: Vancouver data is updated quarterly, averaging 24.000 TEU th from Jun 2001 (Median) to Sep 2018, with 70 observations. The data reached an all-time high of 71.000 TEU th in Sep 2008 and a record low of 14.000 TEU th in Sep 2018. Hong Kong Containers: Laden: DI: North America: Canada: Vancouver data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR – Table HK.TA011: Laden Containers: Discharged and Loaded by Countries & Port.

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.