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 over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Vancouver across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.
Key observations
In 2022, the population of Vancouver was 194,512, a 0.91% increase year-by-year from 2021. Previously, in 2021, Vancouver population was 192,759, an increase of 0.78% compared to a population of 191,259 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Vancouver increased by 49,553. In this period, the peak population was 194,512 in the year 2022. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
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 Year. 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
https://opendata.vancouver.ca/pages/licence/https://opendata.vancouver.ca/pages/licence/
The census is Canada's largest and most comprehensive data source conducted by Statistics Canada every five years. The Census of Population collects demographic and linguistic information on every man, woman and child living in Canada.The data shown here is provided by Statistics Canada from the 2011 Census as a custom profile data order for the City of Vancouver, using the City's 22 local planning areas. The data may be reproduced provided they are credited to Statistics Canada, Census 2011, custom order for City of Vancouver Local Areas.Data accessThis dataset has not yet been converted to a format compatible with our new platform. The following links provide access to the files from our legacy site: Census local area profiles 2011 (CSV) Census local area profiles 2011 (XLS) Dataset schema (Attributes)Please see the Census local area profiles 2011 attributes page. NoteThe 22 Local Areas is defined by the Census blocks and is equal to the City's 22 local planning areas and includes the Musqueam 2 reserve.Vancouver CSD (Census Subdivision) is defined by the City of Vancouver municipal boundary which excludes the Musqueam 2 reserve but includes Stanley Park. Vancouver CMA (Census Metropolitan Area) is defined by the Metro Vancouver boundary which includes the following Census Subdivisions: Vancouver, Surrey, Burnaby, Richmond, Coquitlam, District of Langley, Delta, District of North Vancouver, Maple Ridge, New Westminster, Port Coquitlam, City of North Vancouver, West Vancouver, Port Moody, City of Langley, White Rock, Pitt Meadows, Greater Vancouver A, Bowen Island, Capilano 5, Anmore, Musqueam 2, Burrard Inlet 3, Lions Bay, Tsawwassen, Belcarra, Mission 1, Matsqui 4, Katzie 1, Semiahmoo, Seymour Creek 2, McMillian Island 6, Coquitlam 1, Musqueam 4, Coquitlam 2, Katzie 2, Whonnock 1, Barnston Island 3, and Langley 5. In 2011 Statistics Canada replaced the "long form" census with a voluntary National Household Survey. The result of the survey will not be directly comparable with previous census data. In 2006 there were changes made to the definition of households. A number of Single Room Occupancy and Seniors facilities were considered to be dwellings in 2001, and collective dwellings in 2006. The City believes a similar change occurred on some properties between 2006 and 2011. This would explain why the numbers of "Apartments under 5 stories" has fallen in some locations.Note that for the first time in 2011, three language questions (knowledge of official languages, home language and mother tongue) were included on the census questionnaire that was administered to 100% of the population.Language data and analysis published for all censuses since 1996 have been based almost exclusively on responses from the long-form census questionnaire administered to 20% of the population. However, Statistics Canada has observed changes in patterns of response to both the mother tongue and home language questions that appear to have arisen from changes in the placement and context of the language questions on the 2011 Census questionnaire relative to previous censuses. As a result, Canadians appear to have been less inclined than in previous censuses to report languages other than English or French as their only mother tongue, and also more inclined to report multiple languages as their mother tongue and as the language used most often at home. Data currencyThe data for Census 2011 was collected in May 2011. Data accuracyStatistics Canada is committed to protect the privacy of all Canadians and the confidentiality of the data they provide to us. As part of this commitment, some population counts of geographic areas are adjusted in order to ensure confidentiality. Counts of the total population are rounded to a base of 5 for any dissemination block having a population of less than 15. Population counts for all standard geographic areas above the dissemination block level are derived by summing the adjusted dissemination block counts. The adjustment of dissemination block counts is controlled to ensure that the population counts for dissemination areas will always be within 5 of the actual values. The adjustment has no impact on the population counts of census divisions and large census subdivisions. Websites for further information Statistics Canada 2011 Census Dictionary Local area boundary dataset
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
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 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
Comprehensive demographic dataset for Vancouver, BC, CA including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
This CSV file shows total population counts by sex, age, and race groupsdata from the2020 CensusDemographic andHousing Characteristics. Thisisshown by Nation, Consolidated City, Census Designated Place, Incorporated Placeboundaries. Eachgeographylayercontainsa common set of Census countsbased on available attributes from the U.S. Census Bureau. There are alsoadditionalcalculated attributes related to this topic, which can be mapped or used within analysis. Vintageof boundaries and attributes:2020Demographic andHousing CharacteristicsTable(s): P1, H1, H3, P2, P3, P5, P12, P13, P17, PCT12 (Not all lines of these DHC tables are available in this file.)Data downloaded from: U.S. Census Bureau’s data.census.gov siteDatethe Data was Downloaded: May 25, 2023Geography Levels included: Nation, Consolidated City, Census Designated Place, Incorporated PlaceNational Figures: included in Nation layerThe United States Census BureauDemographic andHousing Characteristics:2020 Census Results2020 Census Data QualityGeography &2020 CensusTechnical DocumentationData Table Guide: includes the final list of tables, lowest level of geography by table and table shells for the Demographic Profile and Demographic and Housing Characteristics.News & UpdatesData Processing Notes:These 2020 Census boundaries come from the US Census TIGER geodatabases.These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. ForCensustractsand block groups, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square metersor larger (mid tolarge sizedwater bodies) are erased from the tractand block groupboundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k TIGER Cartographic Boundary Shapefiles. These are erased tomore accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are unchanged and available as attributes within the data table (units are square meters). The layercontainsall US states, Washington D.C., and Puerto Rico.Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Block groups that fall within the same criteria (Block Group denoted as 0 with no area land) have also been removed.Percentages and derived counts, are calculated values (that can beidentifiedby the "_calc_" stub in the field name).Field alias names were created based on the Table Shells file available from the Data Table Guide for theDemographic Profile and Demographic andHousing Characteristics.Not all lines of all tables listed above are included in this layer. Duplicative counts were dropped. For example, P0030001 was dropped, as it is duplicative of P0010001.To protect the privacy and confidentiality of respondents, their data has been protected usingdifferential privacy techniquesby the U.S. Census Bureau.
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
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.
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.
Vancouver Police Department
Can we predict what kind of crimes can occur in 2020 and to what extent?
Estimated number of persons by quarter of a year and by year, Canada, provinces and territories.
https://opendata.vancouver.ca/pages/licence/https://opendata.vancouver.ca/pages/licence/
This dataset contains information about bikeways in City of Vancouver. NoteSome fields may be blank or have zero values if the information is not available. Data currencyThis data are updated frequently in the normal course of business, however priorities and resources determine how fast a change in reality is reflected in the database. The extract on this website is updated weekly. Data accuracyThese bikeways follow street centrelines so their placement in the street right of way is approximate. This dataset is maintained manually.This dataset includes data on shorter bikeway segments which can be different than how the bikeways are dispayed in the Vancouver Cycling Map. Websites for further informationCycling routes and maps
Differences in the number and proportion of persons with and without disabilities, aged 15 years and over, by census metropolitan areas.
https://opendata.vancouver.ca/pages/licence/https://opendata.vancouver.ca/pages/licence/
This dataset provides the ranges of hourly rates of pay for all City job classifications, corresponding job titles and the breakdown of staff by sex within these classifications. The dataset does not include information from the Vancouver Public Library and the Vancouver Police Department. NoteThis dataset was published in 2019 as ‘workforce pay rates and gender’. In 2022, the dataset name was corrected to ‘Workforce pay rates and sex’, which is a more accurate reflection of the data categories available at the time of collection (see below for more details). Efforts are now underway to improve and increase transparency of data collection methods, and update categories to be inclusive of those outside the gender binary, and reflect gender instead of sex. Sex breakdown and salary ranges are only shown for a classification or specific position title when there are 10 or more people in that group. This is necessary in order to preserve confidentiality. If there are fewer than 10, the groups (within the same group level) are aggregated until the total exceeds the minimum number threshold.To explain the aggregation in more details: Data for each year is aggregated separately. If necessary, groups are aggregated in this order: Exempt/Union, Classification and then by Position title. Multiple aggregations (of the same group level) may take place in order to meet the minimum number requirement of 10 people. These aggregations are labelled with *Multiple. The field Data Category explains whether a row represents a detailed group with data, an aggregated group with data, or a group where detailed data is suppressed (reported as part of an aggregation). Data accuracy The minimum and maximum hourly rates listed reflect the current rates of pay for the classification for the effective year. For the full salary range of each classification, refer to the relevant Collective Agreement here. The City’s employee database currently contains the sex designations ‘male’ or ‘female’ for employees. Historically the sex information was indicated by the managers on hiring forms, and has not been explicitly asked of or verified by the employee. As such, not all employees have been provided designations as male or female, and so the total count for “Male” and “Female” combined may not equal the total employee count.
Sex is typically understood to be a biological concept, distinct from gender which is a social concept. With updates in technology and data collection methods, the City is moving towards collecting self-disclosed gender information (woman, man, gender-diverse etc.) for all employees. This will lead to a more accurate picture of the City’s workforce and will become the basis of this reporting exercise in future years.
The data does not include employees who are unionized and currently acting in exempt positions. Data as in effect in the City’s payroll information system on April 30th of the reporting year
Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas, annual.
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
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Table shows the Council member's name, month and year of election or appointment to the Council, identifying personal pronouns used, and any special notes on service of term.
https://opendata.vancouver.ca/pages/licence/https://opendata.vancouver.ca/pages/licence/
This dataset contains data of non-market housing projects - both the buildings owned by City of Vancouver, and the buildings provided by other agencies. Non-market housing is for low and moderate income singles and families, often subsidized through a variety of ways, including senior government support. This housing is managed through various operators, including the public, non-profit, co-op, and urban indigenous sectors. Non-market housing is located throughout Vancouver in the forms of social, supportive, and co-op housing. This dataset includes temporary modular housing, which are demountable structures, not permanently affixed to land and assembled within months. The inventory does not include the following types of housing:Special Needs Residential Facilities - includes community care facilities providing licensed care services, and group residences providing housing as required by law, rehabilitative programs, or temporary housingSingle Room Accommodation - privately-owned single room occupancy (SRO) hotels, rooming houses, and other housing with rooms less than 320 square feet, typically featuring units with a basic cooking setup and shared bathroomsShelters - provide temporary beds, meals, and services to the city's homeless population NoteUnit total (and breakdown) of projects could change over the course of development and are not captured real timeHousing projects with "proposed", "approved" and "under construction" status may not contain unit number breakdown by "Design"Housing projects with "proposed", "approved" and "under construction" status may not contain information on operator names or typeUnit total is the sum of clientele groups (families, seniors, and others) Data currencyThis dataset is updated weekly. Data accuracyData for this dataset is amalgamated from a number of sources. It is possible that some information may not be shown because of data synchronization issues. There may be some loss of quality from data entry errors.Non-housing market projects for which geographic coordinates are not available yet will not show up on the map or in the spatial formats. For a complete list, please consult the XLS or CSV formats. Websites for further informationSocial and market rental housingFind social and co-op housing in Vancouver
This feature layer shows total population counts by sex, age, and race groups data from the 2020 Census Demographic and Housing Characteristics. This is shown by Incorporated Place boundaries. Each geography layer contains a common set of Census counts based on available attributes from the U.S. Census Bureau. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Vintage of boundaries and attributes: 2020 Demographic and Housing Characteristics Table(s): P1, H1, H3, P2, P3, P5, P12, P13, P17, PCT12 (Not all lines of these DHC tables are available in this file.)Data downloaded from: U.S. Census Bureau’s data.census.gov siteDate the Data was Downloaded: May 25, 2023Geography Levels included: Incorporated Place The United States Census Bureau Demographic and Housing Characteristics: 2020 Census Results 2020 Census Data Quality Geography & 2020 Census Technical Documentation Data Table Guide: includes the final list of tables, lowest level of geography by table and table shells for the Demographic Profile and Demographic and Housing Characteristics.News & Updates Data Processing Notes: These 2020 Census boundaries come from the US Census TIGER geodatabases. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For Census tracts and block groups, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract and block group boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are unchanged and available as attributes within the data table (units are square meters). The layer contains all US states, Washington D.C., and Puerto Rico. Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99). Block groups that fall within the same criteria (Block Group denoted as 0 with no area land) have also been removed.Percentages and derived counts, are calculated values (that can be identified by the "_calc_" stub in the field name). Field alias names were created based on the Table Shells file available from the Data Table Guide for the Demographic Profile and Demographic and Housing Characteristics. Not all lines of all tables listed above are included in this layer. Duplicative counts were dropped. For example, P0030001 was dropped, as it is duplicative of P0010001.To protect the privacy and confidentiality of respondents, their data has been protected using differential privacy techniques by the U.S. Census Bureau.
https://opendata.vancouver.ca/pages/licence/https://opendata.vancouver.ca/pages/licence/
This dataset lists the name and grave location of those buried at the Mountain View Cemetery. The cemetery is owned and operated by the City of Vancouver since 1887. It is made up of 106 acres of land and it is located west of Fraser Street between 31st and 43rd Avenues. NoteThe Freedom of Information and Protection of Privacy Act (RSBC 1996) allows public institutions to disclose personal information for historical purposes if "the information is about someone who has been dead or buried for 20 or more years." For people who do not meet these criteria, the first names have been substituted with a unique cemetery identification number. Other name related fields are also masked with "PRIVATE" value to provide privacy protection. If you are searching for someone within this time frame or if you have inquiries on specific record, please contact the Mountain View Cemetery office by phone: 604-325-2646 or email: mountain.view@vancouver.ca. Data currencyThis data is updated in the normal course of business, however priorities and resources determine how fast a change in reality is reflected in the database. The extract on this website is updated weekly. Data accuracyThe cemetery keeps more than one set of records. The official records are kept manually and are considered the main records. The data in this dataset has been transcribed from the official cemetery records and does contain errors and omissions. The cemetery is in the process of verifying the information and will update it frequently. Some fields may be blank if the associated information is not available. Websites for further informationMountain View Cemetery
https://opendata.vancouver.ca/pages/licence/https://opendata.vancouver.ca/pages/licence/
The posting of voting records for City of Vancouver Council members is part of the City's ongoing commitment to open, transparent and proactive disclosure of data. In 2016, City Council began using an electronic voting system which has enabled the City to capture individual Council member vote records for Council, Special Council, Standing Committee, and Public Hearing meeting types. Note: Please consult corresponding meeting minutes for official vote records.On September 21, 2021, Vote attribute definition for No Vote was updated to improve clarity. See change log on this date for details.
Data currencyThe voting records extract is updated following Council, Special Council, Standing Committee, and Public Hearing meetings. The most recent data will be available within two business days of the meeting minutes being published. Note: Following complex meetings with a large number of agenda items, data release may be delayed by several business days. On November 26, 2019, Council approved the changes to the Procedure By-law included updating the meeting name of Regular Council to Council in effort to modernize the name and make it more meaningful to citizens. Data accuracyErroneous and test votes are not included in the data sets, therefore vote numbers will not appear in sequence.Consent agenda item votes are recorded after the meeting and will therefore not appear in sequence. Websites for further information Vancouver City Council Types of Council meetings City Council Meeting Agendas and Minutes Procedure By-Law No. 12577
Vancouver Charter
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 over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Vancouver across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.
Key observations
In 2022, the population of Vancouver was 194,512, a 0.91% increase year-by-year from 2021. Previously, in 2021, Vancouver population was 192,759, an increase of 0.78% compared to a population of 191,259 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Vancouver increased by 49,553. In this period, the peak population was 194,512 in the year 2022. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
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 Year. You can refer the same here