Data on resident owners who are persons occupying one of their residential properties: sex, age, total income, the type and the assessment value of the owner-occupied property, as well as the number and the total assessment value of residential properties owned.

Explore the Redfin Canada Properties Dataset, available in CSV format and extracted in April 2022. This comprehensive dataset offers detailed insights into the Canadian real estate market, including property listings, prices, square footage, number of bedrooms and bathrooms, and more. Covering various cities and provinces, it’s ideal for market analysis, investment research, and financial modeling.

Key Features:

• Property Details: Includes crucial data such as listing price, property type, square footage, number of bedrooms and bathrooms, and more.
• Geo-Location Data: Provides geographical coordinates, allowing for spatial analysis and mapping.
• Market Trends: Offers historical data to analyze price trends and market fluctuations.

Who Can Use This Dataset:

• Real Estate Professionals: Evaluate market trends and property values to better advise clients or guide investment decisions.
• Investors: Analyze the Canadian housing market to identify investment opportunities and potential returns.
• Data Analysts and Researchers: Use this dataset to study market dynamics, urban development, or economic factors influencing the real estate sector.
• Financial Analysts: Incorporate the data into financial models to forecast market behavior and investment outcomes.

Download the Redfin Canada Properties Dataset to access valuable information on the Canadian housing market, perfect for anyone involved in real estate, finance, or data analysis.

This table contains data on the number of residential properties, by period of construction and residency type for the provinces of British Columbia and Ontario and their census metropolitan areas.

This dataset includes Statistics Canada table 46-10-0029-01, titled “Property use of residential properties, by property type and residency ownership”. 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 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, Oliver, 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, Pouce Coupe, 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, Salmo, Salmon Arm, Saltspring Island, Sayward, Sechelt, Sicamous, Silverton, Slocan, Smithers, Southern Gulf Islands, Spallumcheen,...

About this dataset

Context

The dataset presents median household incomes for various household sizes in New Canada, Maine, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, New Canada town did not include 6, or 7-person households. Across the different household sizes in New Canada town the mean income is $103,835, and the standard deviation is $59,699. The coefficient of variation (CV) is 57.49%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $16,552. It then further increased to $136,465 for 5-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/new-canada-me-median-household-income-by-household-size.jpeg" alt="New Canada, Maine median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 New Canada town median household income. You can refer the same here

Average House Prices in Canada decreased to 688600 CAD in June from 690200 CAD in May of 2025. This dataset includes a chart with historical data for Canada Average House Prices.

This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Newfoundland and Labrador; Prince Edward Island; Atlantic provinces ...), Housing estimates (3 items: Housing starts; Housing under construction; Housing completions ...), Type of unit (6 items: Total units; Multiples; Single-detached; Semi-detached ...), Seasonal adjustment (2 items: Unadjusted; Seasonally adjusted at annual rates ...).

Housing stock in units is an economic estimate of the number of housing units in Canada, the provinces and territories by institutional sector, dwelling occupation, dwelling type, and tenure type. These data are used to estimate gross domestic product by income and expenditure. The units are benchmarked to dwelling data from the census at the national, provincial and territorial levels. Dwelling type and tenure type are also aligned with census data.

The Canada Trademarks Dataset

18 Journal of Empirical Legal Studies 908 (2021), prepublication draft available at https://papers.ssrn.com/abstract=3782655, published version available at https://onlinelibrary.wiley.com/share/author/CHG3HC6GTFMMRU8UJFRR?target=10.1111/jels.12303

Dataset Selection and Arrangement (c) 2021 Jeremy Sheff

Python and Stata Scripts (c) 2021 Jeremy Sheff

Contains data licensed by Her Majesty the Queen in right of Canada, as represented by the Minister of Industry, the minister responsible for the administration of the Canadian Intellectual Property Office.

This individual-application-level dataset includes records of all applications for registered trademarks in Canada since approximately 1980, and of many preserved applications and registrations dating back to the beginning of Canada’s trademark registry in 1865, totaling over 1.6 million application records. It includes comprehensive bibliographic and lifecycle data; trademark characteristics; goods and services claims; identification of applicants, attorneys, and other interested parties (including address data); detailed prosecution history event data; and data on application, registration, and use claims in countries other than Canada. The dataset has been constructed from public records made available by the Canadian Intellectual Property Office. Both the dataset and the code used to build and analyze it are presented for public use on open-access terms.

Scripts are licensed for reuse subject to the Creative Commons Attribution License 4.0 (CC-BY-4.0), https://creativecommons.org/licenses/by/4.0/. Data files are licensed for reuse subject to the Creative Commons Attribution License 4.0 (CC-BY-4.0), https://creativecommons.org/licenses/by/4.0/, and also subject to additional conditions imposed by the Canadian Intellectual Property Office (CIPO) as described below.

Terms of Use:

As per the terms of use of CIPO's government data, all users are required to include the above-quoted attribution to CIPO in any reproductions of this dataset. They are further required to cease using any record within the datasets that has been modified by CIPO and for which CIPO has issued a notice on its website in accordance with its Terms and Conditions, and to use the datasets in compliance with applicable laws. These requirements are in addition to the terms of the CC-BY-4.0 license, which require attribution to the author (among other terms). For further information on CIPO’s terms and conditions, see https://www.ic.gc.ca/eic/site/cipointernet-internetopic.nsf/eng/wr01935.html. For further information on the CC-BY-4.0 license, see https://creativecommons.org/licenses/by/4.0/.

The following attribution statement, if included by users of this dataset, is satisfactory to the author, but the author makes no representations as to whether it may be satisfactory to CIPO:

The Canada Trademarks Dataset is (c) 2021 by Jeremy Sheff and licensed under a CC-BY-4.0 license, subject to additional terms imposed by the Canadian Intellectual Property Office. It contains data licensed by Her Majesty the Queen in right of Canada, as represented by the Minister of Industry, the minister responsible for the administration of the Canadian Intellectual Property Office. For further information, see https://creativecommons.org/licenses/by/4.0/ and https://www.ic.gc.ca/eic/site/cipointernet-internetopic.nsf/eng/wr01935.html.

Details of Repository Contents:

This repository includes a number of .zip archives which expand into folders containing either scripts for construction and analysis of the dataset or data files comprising the dataset itself. These folders are as follows:

• /csv: contains the .csv versions of the data files
• /do: contains Stata do-files used to convert the .csv files to .dta format and perform the statistical analyses set forth in the paper reporting this dataset
• /dta: contains the .dta versions of the data files
• /py: contains the python scripts used to download CIPO’s historical trademarks data via SFTP and generate the .csv data files

If users wish to construct rather than download the datafiles, the first script that they should run is /py/sftp_secure.py. This script will prompt the user to enter their IP Horizons SFTP credentials; these can be obtained by registering with CIPO at https://ised-isde.survey-sondage.ca/f/s.aspx?s=59f3b3a4-2fb5-49a4-b064-645a5e3a752d&lang=EN&ds=SFTP. The script will also prompt the user to identify a target directory for the data downloads. Because the data archives are quite large, users are advised to create a target directory in advance and ensure they have at least 70GB of available storage on the media in which the directory is located.

The sftp_secure.py script will generate a new subfolder in the user’s target directory called /XML_raw. Users should note the full path of this directory, which they will be prompted to provide when running the remaining python scripts. Each of the remaining scripts, the filenames of which begin with “iterparse”, corresponds to one of the data files in the dataset, as indicated in the script’s filename. After running one of these scripts, the user’s target directory should include a /csv subdirectory containing the data file corresponding to the script; after running all the iterparse scripts the user’s /csv directory should be identical to the /csv directory in this repository. Users are invited to modify these scripts as they see fit, subject to the terms of the licenses set forth above.

With respect to the Stata do-files, only one of them is relevant to construction of the dataset itself. This is /do/CA_TM_csv_cleanup.do, which converts the .csv versions of the data files to .dta format, and uses Stata’s labeling functionality to reduce the size of the resulting files while preserving information. The other do-files generate the analyses and graphics presented in the paper describing the dataset (Jeremy N. Sheff, The Canada Trademarks Dataset, 18 J. Empirical Leg. Studies (forthcoming 2021)), available at https://papers.ssrn.com/abstract=3782655). These do-files are also licensed for reuse subject to the terms of the CC-BY-4.0 license, and users are invited to adapt the scripts to their needs.

The python and Stata scripts included in this repository are separately maintained and updated on Github at https://github.com/jnsheff/CanadaTM.

This repository also includes a copy of the current version of CIPO's data dictionary for its historical XML trademarks archive as of the date of construction of this dataset.

This dataset includes the listing prices for the sale of properties (mostly houses) in Ontario. They are obtained for a short period of time in July 2016 and include the following fields: Price in dollars Address of the property Latitude and Longitude of the address obtained by using Google Geocoding service Area Name of the property obtained by using Google Geocoding service This dataset will provide a good starting point for analyzing the inflated housing market in Canada although it does not include time related information. Initially, it is intended to draw an enhanced interactive heatmap of the house prices for different neighborhoods (areas) However, if there is enough interest, there will be more information added as newer versions to this dataset. Some of those information will include more details on the property as well as time related information on the price (changes). This is a somehow related articles about the real estate prices in Ontario: http://www.canadianbusiness.com/blogs-and-comment/check-out-this-heat-map-of-toronto-real-estate-prices/ I am also inspired by this dataset which was provided for King County https://www.kaggle.com/harlfoxem/housesalesprediction

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...

Home Sales in Canada increased to 38684 units in June from 37646 units in May of 2025. This dataset includes a chart with historical data for Canada Home Sales.

Note: Data on gender diverse households (formerly "2SLGBTQ+" households) has been added as of March 28th, 2025. For more information, please visit HART.ubc.ca. Housing Assessment Resource Tools (HART) This dataset contains 18 tables which draw upon data from the 2021 Canadian Census of Population. The tables are a custom order and contain data pertaining to core housing need and characteristics of households and dwellings. This custom order was placed in collaboration with Housing, Infrastructure and Communities Canada to fill data gaps in their Housing Needs Assessment Template. 17 of the tables each cover a different geography in Canada: one for Canada as a whole, one for all Canadian census divisions (CD), and 15 for all census subdivisions (CSD) across Canada. The 18th table contains the median income for all geographies. Statistics Canada used these median incomes as the "area median household income (AMHI)," from which they derived some of the data fields within the Shelter Costs/Household Income dimension. The dataset is in Beyond 20/20 (.ivt) format. The Beyond 20/20 browser is required in order to open it. This software can be freely downloaded from the Statistics Canada website: https://www.statcan.gc.ca/eng/public/beyond20-20 (Windows only). For information on how to use Beyond 20/20, please see: http://odesi2.scholarsportal.info/documentation/Beyond2020/beyond20-quickstart.pdf https://wiki.ubc.ca/Library:Beyond_20/20_Guide Custom order from Statistics Canada includes the following dimensions and data fields: Geography: - Country of Canada, all CDs & Country as a whole - All 10 Provinces (Newfoundland, Prince Edward Island (PEI), Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta, and British Columbia), all CSDs & each Province as a whole - All 3 Territories (Nunavut, Northwest Territories, Yukon), all CSDs & each Territory as a whole *- Data on gender diverse households is only available for geographies (provinces, territories, CDs, CSDs) with a population count greater than 50,000. Data Quality and Suppression: - The global non-response rate (GNR) is an important measure of census data quality. It combines total non-response (households) and partial non-response (questions). A lower GNR indicates a lower risk of non-response bias and, as a result, a lower risk of inaccuracy. The counts and estimates for geographic areas with a GNR equal to or greater than 50% are not published in the standard products. The counts and estimates for these areas have a high risk of non-response bias, and in most cases, should not be released. - Area suppression is used to replace all income characteristic data with an 'x' for geographic areas with populations and/or number of households below a specific threshold. If a tabulation contains quantitative income data (e.g., total income, wages), qualitative data based on income concepts (e.g., low income before tax status) or derived data based on quantitative income variables (e.g., indexes) for individuals, families or households, then the following rule applies: income characteristic data are replaced with an 'x' for areas where the population is less than 250 or where the number of private households is less than 40. Source: Statistics Canada - When showing count data, Statistics Canada employs random rounding in order to reduce the possibility of identifying individuals within the tabulations. Random rounding transforms all raw counts to random rounded counts. Reducing the possibility of identifying individuals within the tabulations becomes pertinent for very small (sub)populations. All counts greater than 10 are rounded to a base of 5, meaning they will end in either 0 or 5. The random rounding algorithm controls the results and rounds the unit value of the count according to a predetermined frequency. Counts ending in 0 or 5 are not changed. Counts less than 10 are rounded to a base of 10, meaning they will be rounded to either 10 or Zero. Universe: Private Households in Non-farm Non-band Off-reserve Occupied Private Dwellings with Income Greater than zero. Households examined for Core Housing Need: Private, non-farm, non-reserve, owner- or renter-households with incomes greater than zero and shelter-cost-to-income ratios less than 100% are assessed for 'Core Housing Need.' Non-family Households with at least one household maintainer aged 15 to 29 attending school are considered not to be in Core Housing Need, regardless of their housing circumstances. Data Fields: Tenure Including Presence of Mortgage and Subsidized Housing; Household size (7) 1. Total - Private households by tenure including presence of mortgage payments and subsidized housing 2. Owner 3. With mortgage 4. Without mortgage 5. Renter 6. Subsidized housing 7. Not subsidized housing Housing indicators in Core Housing Universe (12) 1. Total - Private Households by core housing need status 2. Households examined for core housing need 3. Households in core...

Data on the number of residential properties sold, sale price and number of buyers by sale type, property type and period of construction.

About this dataset

Context

The dataset presents median household incomes for various household sizes in Little Canada, MN, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Little Canada did not include 7-person households. Across the different household sizes in Little Canada the mean income is $100,789, and the standard deviation is $44,773. The coefficient of variation (CV) is 44.42%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $40,881. It then further increased to $110,552 for 6-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/little-canada-mn-median-household-income-by-household-size.jpeg" alt="Little Canada, MN median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 Little Canada median household income. You can refer the same here

Note: The data release is complete as of August 14th, 2023. 1. (Added April 4th) Canada and Census Divisions = Early April 2023 2. (Added May 1st) Ontario, British Columbia, and Alberta Census Subdivisions (CSDs) = Late April 2023 3a. (Added June 8th) Manitoba and Saskatchewan CSDs 3b. (Added June 12th) Quebec CSDs = June 12th 2023 4. (Added June 30th) Newfoundland and Labrador, Prince Edward Island, New Brunswick, and Nova Scotia CSDs = Early July 2023 5. (Added August 14th) Yukon, Northwest Territories, and Nunavut CSDs = Early August 2023. For more information, please visit HART.ubc.ca. Housing Assessment Resource Tools (HART) This dataset contains 18 tables which draw upon data from the 2021 Census of Canada. The tables are a custom order and contains data pertaining to core housing need and characteristics of households. 17 of the tables each cover a different geography in Canada: one for Canada as a whole, one for all Canadian census divisions (CD), and 15 for all census subdivisions (CSD) across Canada. The last table contains the median income for all geographies. Statistics Canada used these median incomes as the "area median household income (AMHI)," from which they derived some of the data fields within the Shelter Costs/Household Income dimension. Included alongside the data tables is a guide to HART's housing need assessment methodology. This guide is intended to support independent use of HART's custom data both to allow for transparent verification of our analysis, as well as supporting efforts to utilize the data for analysis beyond what HART did. There are many data fields in the data order that we did not use that may be of value for others. The dataset is in Beyond 20/20 (.ivt) format. The Beyond 20/20 browser is required in order to open it. This software can be freely downloaded from the Statistics Canada website: https://www.statcan.gc.ca/eng/public/beyond20-20 (Windows only). For information on how to use Beyond 20/20, please see: http://odesi2.scholarsportal.info/documentation/Beyond2020/beyond20-quickstart.pdf https://wiki.ubc.ca/Library:Beyond_20/20_Guide Custom order from Statistics Canada includes the following dimensions and data fields: Geography: - Country of Canada, all CDs & Country as a whole - All 10 Provinces (Newfoundland, Prince Edward Island (PEI), Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta, and British Columbia), all CSDs & each Province as a whole - All 3 Territories (Nunavut, Northwest Territories, Yukon), all CSDs & each Territory as a whole Data Quality and Suppression: - The global non-response rate (GNR) is an important measure of census data quality. It combines total non-response (households) and partial non-response (questions). A lower GNR indicates a lower risk of non-response bias and, as a result, a lower risk of inaccuracy. The counts and estimates for geographic areas with a GNR equal to or greater than 50% are not published in the standard products. The counts and estimates for these areas have a high risk of non-response bias, and in most cases, should not be released. - Area suppression is used to replace all income characteristic data with an 'x' for geographic areas with populations and/or number of households below a specific threshold. If a tabulation contains quantitative income data (e.g., total income, wages), qualitative data based on income concepts (e.g., low income before tax status) or derived data based on quantitative income variables (e.g., indexes) for individuals, families or households, then the following rule applies: income characteristic data are replaced with an 'x' for areas where the population is less than 250 or where the number of private households is less than 40. Source: Statistics Canada - When showing count data, Statistics Canada employs random rounding in order to reduce the possibility of identifying individuals within the tabulations. Random rounding transforms all raw counts to random rounded counts. Reducing the possibility of identifying individuals within the tabulations becomes pertinent for very small (sub)populations. All counts greater than 10 are rounded to a base of 5, meaning they will end in either 0 or 5. The random rounding algorithm controls the results and rounds the unit value of the count according to a predetermined frequency. Counts ending in 0 or 5 are not changed. Counts of 10 or less are rounded to a base of 10, meaning they will be rounded to either 10 or zero. Universe: Full Universe: Private Households in Non-farm Non-band Off-reserve Occupied Private Dwellings with Income Greater than zero. Households examined for Core Housing Need: Private, non-farm, non-reserve, owner- or renter-households with incomes greater than zero and shelter-cost-to-income ratios less than 100% are assessed for 'Core Housing Need.' Non-family Households with at least one household maintainer aged 15 to 29 attending school are considered not to be in Core Housing...

Note: April 22, 2025: Updates to "CHN by income and HH size_v3". --------------------------------------------------------------------------------------------------------------------------------- Note: April 16, 2025: Updates to the following files have been made on April 9th and 16th: "CHN by income and HH size_v2", "cd_hh_projections_v2", "csd_hh_projections_v2", and "CMAs_all data_v3". --------------------------------------------------------------------------------------------------------------------------------- Note: March 31, 2025 files "Data_Element_1a" & "...1b" updated to v3 to include additional geographies (CDs and PTs) in the calculation of households close to rail transit. --------------------------------------------------------------------------------------------------------------------------------- Note: This dataset as of March 31st, 2025 now contains data on all 12 data elements, including core housing need among "gender diverse" households (formerly called "2SLGBTQ+" households) in table "Data_Element_ 3". That table (i.e. Data_Element_3) now also includes core housing need data on those priority populations reported in HART's HNA Tool. Two other outputs were migrated from that HNA Tool into this Federal HNA Template dataset: Income Categories and Affordable Shelter Costs, Percentage of Households in Core Housing Need by Income Category and Household Size, and 2021 Affordable Housing Deficit. (HICC Section 3.6), and Projected Households by Household Size and Income Category (HICC Section 6.1.1) This Borealis dataset has been updated accordingly to include that data: "AMHI.csv" (2021 AMHI and dollar ranges of income and shelter cost categories) "cd_hh_projections.csv" (Projected households in 2031 for CDs) "csd_hh_projections.csv" (Projected households in 2031 for CSDs) "CHN by income and HH size.csv" (2021 core housing need by income and household size) The geographical scope of the dataset has also been expanded. Before March 31st, only CSDs were included. As of March 31st, data on CDs, provinces/territories, the country of Canada, and CMA/CAs has been added. Not all data is available for all geographies: Data from CMHC's Rental Market Survey and Starts and Completions Survey are reported at the CSD level within CMAs/CAs. Results for provinces/territories/Canada are reported, but data for CDs is not. Since these surveys may not include all CSDs within a given CD, we have not attempted to aggregate this CSD data into CDs. Data from any custom census order by HART does not include CMA/CAs. We are able to aggregate the data by CSD into CMA/CAs, but all income and shelter cost data had been categorized based on the AMHI of the CSD as part of the original order (i.e. whether a household is "Very Low" income or "Low" income depends on the median household income of the CSD that the household lives in). This will lead to some inaccuracy and ambiguity of interpretation for the income or shelter cost data reported for CMAs. Data on "gender diverse" households is only available from Statistics Canada for geographies with a population count greater than 50,000 as of the 2021 census. This represents a total of 239 geographies (incl. Canada and the provinces/territories). Due to the low number of CSDs with this data, we have not attempted to aggregated this to the CMA/CA level. Data for CMAs/CAs will be added to the tool by mid-April 2025, but the source data has been summarized and included in this dataset: "CMAs_all data.csv" (All available data for CMAs and CAs) --------------------------------------------------------------------------------------------------------------------------------- Update (March 14, 2025): Tables "Data_Element_1a" and "...1b" have been updated to exclude some non-rail rapid transit stops that were erroneous included, notably in Winnipeg. --------------------------------------------------------------------------------------------------------------------------------- For more information, please visit HART.ubc.ca. Housing Assessment Resource Tools (HART) This database was created to accompany the dashboard on HART's website called the "Federal Housing Needs Assessment Template." URL: https://hart.ubc.ca/federal-hna-template/. This dashboard presents housing-related data to help communities complete the Housing Needs Assessment template requested by the Government of Canada as a requirement for certain funding applications. For more information on that template, please visit the Government of Canada's website (https://housing-infrastructure.canada.ca/housing-logement/hna-ebml/template-modele-eng.html). This dataset represents the underlying data used to populate HART's dashboard. The data contains some public and custom data from Canada's Census of Population (author: Statistics Canada), public data from the Canada Mortgage and Housing Corporation (CMHC) regarding it's Rental Market Survey as well as it's Starts and Completions Survey, private...

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Little Canada. Based on the latest 2018-2022 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Little Canada. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2022

In terms of income distribution across age cohorts, in Little Canada, householders within the 25 to 44 years age group have the highest median household income at $77,780, followed by those in the 45 to 64 years age group with an income of $77,181. Meanwhile householders within the 65 years and over age group report the second lowest median household income of $62,243. Notably, householders within the under 25 years age group, had the lowest median household income at $36,828.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific 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 Little Canada median household income by age. You can refer the same here

This table contains data on the number of residential properties, by property type, assessment value range and residency type for the census metropolitan areas of Toronto and Vancouver and their census subdivisions.

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Little Canada. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2011 and 2021, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In Little Canada, the median household income for the households where the householder is White increased by $13,022(20.98%), between 2011 and 2021. The median household income, in 2022 inflation-adjusted dollars, was $62,058 in 2011 and $75,080 in 2021.
• Black or African American: In Little Canada, the median household income for the households where the householder is Black or African American increased by $10,310(28.83%), between 2011 and 2021. The median household income, in 2022 inflation-adjusted dollars, was $35,767 in 2011 and $46,077 in 2021.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

https://i.neilsberg.com/ch/little-canada-mn-median-household-income-by-race-trends.jpeg" alt="Little Canada, MN median household income trends across races (2011-2021, in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Little Canada.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• Please note: 2020 1-Year ACS estimates data was not reported by Census Bureau due to impact on survey collection and analysis during COVID-19, thus for large cities (population 65,000 and above) median household income data is not available.
• Please note: All incomes have been adjusted for inflation and are presented in 2022-inflation-adjusted dollars.

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 Little Canada median household income by race. You can refer the same here