13 datasets found
  1. Average house price in Nova Scotia, Canada 2018-2024, with a forecast by...

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Average house price in Nova Scotia, Canada 2018-2024, with a forecast by 2026 [Dataset]. https://www.statista.com/statistics/604264/median-house-prices-nova-scotia/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada
    Description

    The average house price in Nova Scotia in 2024 stood at approximately ******* Canadian dollars. In the next year, house prices are forecast to further increase by about five percent. Compared to other provinces, Nova Scotia ranked below the national average in terms of house prices. However, the average price of a house in Nova Scotia was twice lower than in Ontario or British Columbia. Exploding population growth in recent yearsNova Scotia is the second-smallest province after Prince Edward Island, and had a population of just under *********** in 2018. The population of this province was relatively steady between 2000 and 2015, but has taken off since then. This sudden growth may be a factor in the increasing house prices, as demand also increases due to the greater number of residents looking for homes. The future of housing affordability in Nova ScotiaHalifax, the provincial capital, had an affordable housing market as of 2018, with mortgage payments only constituting about ** percent of average household incomes. The number of housing starts in the region has increased in the past few years, which also suggests an increase in demand. Only time will tell whether this will ensure a sufficient supply of homes for the region in response to its growing population.

  2. Average house prices in Canada 2024, by province

    • statista.com
    Updated Jun 30, 2025
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    Statista (2025). Average house prices in Canada 2024, by province [Dataset]. https://www.statista.com/statistics/604273/median-house-prices-canada-by-province/
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    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Canada
    Description

    House prices in British Columbia and Ontario were notably higher than any other province in Canada in 2024. The average house price in any other province was less than ******* Canadian dollars, whereas in British Columbia and Ontario, it exceeded ******* Canadian dollars. The most affordable province to buy a home was Newfoundland, where the average home cost about ******* Canadian dollars.

  3. House sales in Nova Scotia, Canada 2018-2024, with a forecast by 2026

    • statista.com
    Updated Jul 11, 2025
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    Statista, House sales in Nova Scotia, Canada 2018-2024, with a forecast by 2026 [Dataset]. https://www.statista.com/statistics/588526/house-sales-nova-scotia/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada
    Description

    The number of home sales in Nova Scotia, Canada, surged in 2021, followed by a decrease in the following two years. In 2024, about ****** home sales took place in Nova Scotia and this figure is expected to reach ****** in 2026. A similar trend could be observed on a national scale, with transaction activity in Canada set to increase by 2026. In terms of home prices, Nova Scotia ranked below the national average, but housing was still significantly more expensive than provinces such as New Brunswick and Newfoundland.

  4. New housing price indexes (1997=100)

    • www150.statcan.gc.ca
    • open.canada.ca
    Updated Feb 27, 2017
    + more versions
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    New housing price indexes (1997=100) [Dataset]. https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=1810007301
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    Dataset updated
    Feb 27, 2017
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    This table contains 204 series, with data for years 1981 - 2010 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (34 items: Canada; Newfoundland and Labrador; St. John's; Newfoundland and Labrador; Atlantic Region ...), New housing price indexes (3 items: Total (house and land);House only; Land only ...), Index base period (2 items: 1992=100;1997=100 ...).

  5. Average resale house prices Canada 2011-2024, with a forecast until 2026, by...

    • statista.com
    • ai-chatbox.pro
    Updated Jun 20, 2025
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    Statista (2025). Average resale house prices Canada 2011-2024, with a forecast until 2026, by province [Dataset]. https://www.statista.com/statistics/587661/average-house-prices-canada-by-province/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada
    Description

    The average resale house price in Canada was forecast to reach nearly ******* Canadian dollars in 2026, according to a January forecast. In 2024, house prices increased after falling for the first time since 2019. One of the reasons for the price correction was the notable drop in transaction activity. Housing transactions picked up in 2024 and are expected to continue to grow until 2026. British Columbia, which is the most expensive province for housing, is projected to see the average house price reach *** million Canadian dollars in 2026. Affordability in Vancouver Vancouver is the most populous city in British Columbia and is also infamously expensive for housing. In 2023, the city topped the ranking for least affordable housing market in Canada, with the average homeownership cost outweighing the average household income. There are a multitude of reasons for this, but most residents believe that foreigners investing in the market cause the high housing prices. Victoria housing market The capital of British Columbia is Victoria, where housing prices are also very high. The price of a single family home in Victoria's most expensive suburb, Oak Bay was *** million Canadian dollars in 2024.

  6. s

    Living area and assessment value per square foot of residential properties...

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated May 3, 2019
    + more versions
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    Government of Canada, Statistics Canada (2019). Living area and assessment value per square foot of residential properties by property type and period of construction, provinces of Nova Scotia, Ontario and British Columbia [Dataset]. http://doi.org/10.25318/4610002801-eng
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    Dataset updated
    May 3, 2019
    Dataset provided by
    Government of Canada, Statistics Canada
    Area covered
    British Columbia, Ontario, Nova Scotia, Canada
    Description

    This table contains data on the number, living area, and assessment value per square foot of residential properties, by property type and period of construction, for the provinces of Nova Scotia, Ontario and British Columbia, their census metropolitan areas (CMAs) and census subdivisions (CSDs).

  7. N

    Municipal Property Tax Rates

    • data.novascotia.ca
    • open.canada.ca
    • +1more
    application/rdfxml +5
    Updated Mar 5, 2025
    + more versions
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    (2025). Municipal Property Tax Rates [Dataset]. https://data.novascotia.ca/Municipalities/Municipal-Property-Tax-Rates/ure8-3w7m
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    csv, application/rdfxml, xml, application/rssxml, tsv, jsonAvailable download formats
    Dataset updated
    Mar 5, 2025
    License

    http://novascotia.ca/opendata/licence.asphttp://novascotia.ca/opendata/licence.asp

    Description

    Municipal property taxes are set by the council of each municipality and help fund a variety of municipal services and programs provided by the municipality. There are two different types of tax rates: residential and commercial. All tax rates are applied per $100 of taxable property assessment value. Municipal tax revenue is calculated by multiplying the property assessment value by the applicable tax rate per $100 of assessment value.

  8. Canadian housing: rental vacancy rates in Nova Scotia 2000-2023

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Canadian housing: rental vacancy rates in Nova Scotia 2000-2023 [Dataset]. https://www.statista.com/statistics/198712/rental-vacancy-rates-in-nova-scotia-since-2000/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada
    Description

    The rental vacancy rate of apartments in Nova Scotia in Canada increased slightly in 2023. Approximately *** percent of the rental apartment in that year were vacant. The average vacancy rate in Canada, on the other hand was slightly higher.

  9. Canadian housing: rental vacancy rates 2011-2023, by province

    • ai-chatbox.pro
    • statista.com
    Updated Feb 19, 2024
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    Statista (2024). Canadian housing: rental vacancy rates 2011-2023, by province [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstatistics%2F198684%2Fvacancy-rates-for-rental-units-in-canada-by-region%2F%23XgboD02vawLYpGJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    Feb 19, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada
    Description

    The vacancy rate of rental apartments decreased across most provinces in Canada in 2023. Prince Edward Island and Nova Scotia had the lowest vacancy rate of 1.1 percent, whereas the average for the country stood at 1.5 percent. Ontario and British Columbia had 1.7 percent and 1.2 percent of rental properties unoccupied. The two provinces were home to the most expensive rental markets in the country, Vancouver and Toronto.

  10. B

    HART - 2021 Census of Canada - Selected Characteristics of Census Households...

    • borealisdata.ca
    • open.library.ubc.ca
    Updated May 22, 2025
    + more versions
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    Statistics Canada (2025). HART - 2021 Census of Canada - Selected Characteristics of Census Households for Housing Need - Canada, all provinces and territories at the Census Division (CD) and Census Subdivision (CSD) level [custom tabulation] [Dataset]. http://doi.org/10.5683/SP3/8PUZQA
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 22, 2025
    Dataset provided by
    Borealis
    Authors
    Statistics Canada
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/11.2/customlicense?persistentId=doi:10.5683/SP3/8PUZQAhttps://borealisdata.ca/api/datasets/:persistentId/versions/11.2/customlicense?persistentId=doi:10.5683/SP3/8PUZQA

    Area covered
    Canada
    Dataset funded by
    Canada Mortgage and Housing Corporation
    Description

    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...

  11. a

    Residency ownership of residential properties by property type and period of...

    • hamiltondatacatalog-mcmaster.hub.arcgis.com
    Updated Jul 12, 2022
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    jadonvs_McMaster (2022). Residency ownership of residential properties by property type and period of construction for Hamilton CMA 2018 [Dataset]. https://hamiltondatacatalog-mcmaster.hub.arcgis.com/items/66caa47652464786ab5bf4f3d6f93b45
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    Dataset updated
    Jul 12, 2022
    Dataset authored and provided by
    jadonvs_McMaster
    Area covered
    Hamilton
    Description

    Frequency: OccasionalTable: 46-10-0018-01Release date: 2019-03-12Geography: Province or territory, Census subdivision, Census metropolitan area, Census agglomerationSymbol legend: .. / not available for a specific reference period0s / value rounded to 0 (zero) where there is a meaningful distinction between true zero and the value that was roundedx / suppressed to meet the confidentiality requirements of the Statistics ActThe footnotes in the table are represented in brackets.1) A residential property" refers to all land and structures intended for private occupancy whether on a permanent or a temporary basis." 2) Residency ownership is defined as follows: A property is classified as resident owned when the majority of owners are defined as residents. Conversely, a property is classified as non-resident owned when the majority of owners are defined as non-residents. When there is an equal number of resident and non-resident owners for the same property, the property is classified as resident owned. 3) The geographic boundaries used in this table are the 2018 census subdivisions boundaries. 4) Property type" refers to property characteristics and/or dwelling configuration on which there can be one or more residential structures. Property type includes single-detached house semi-detached house condominium apartment property with multiple residential units unspecified properties and vacant land."5) Period of construction" refers to the period in time during which the building or dwelling was originally constructed. This refers to the period in which the building was completed not the time of any later remodelling additions or conversions. For properties having multiple residential structures this refers to the period in which the most recent structure was completed." 6) Assessment value" refers to the assessed value of the property for the purposes of determining property taxes. It is important to note that the assessed value does not necessarily represent the market value. Given that different provinces and territories have their own assessment periods and durations of the valuation roll it is difficult to make accurate comparisons of similar properties from one province or territory to another. For properties that are being utilized for both residential and non-residential purposes only the residential partitions' value has been taken into account." 7) The estimate “Total assessment value” is calculated using the estimates Number" multiplied by "Average assessment value"." 8) All counts undergo random rounding, a process that transforms all raw counts into randomly rounded counts. This reduces the possibility of identifying individuals in the tabulations. Subtotals and totals may not exactly equal the sum of component parts due to system rounding. 9) A condominium apartment" refers to a set of living quarters that is owned individually while land and common elements are held in joint ownership with others." 10) A property with multiple residential units" refers to a property containing more than one set of living quarters owned by the same owner(s) as is the case for an apartment building or a duplex." Cite: Statistics Canada. Table 46-10-0018-01 Residency ownership of residential properties by property type and period of construction, provinces of Nova Scotia, Ontario and British Columbiahttps://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=4610001801

  12. Canadian housing: rental vacancy rates in Quebec 2000-2023

    • statista.com
    Updated Mar 12, 2024
    + more versions
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    Statista (2024). Canadian housing: rental vacancy rates in Quebec 2000-2023 [Dataset]. https://www.statista.com/statistics/198809/rental-vacancy-rates-in-quebec-since-2000/
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    Dataset updated
    Mar 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada
    Description

    The rental vacancy rate in Quebec in Canada decreased slightly in 2023. Approximately 1.3 percent of the apartments in that year were vacant, which was slightly lower than the national average. Some of the provinces with the lowest rates, however, were British Columbia, Nova Scotia, and Prince Edward Island.

  13. Value per acre of farm land and buildings at July 1

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated May 28, 2025
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    Government of Canada, Statistics Canada (2025). Value per acre of farm land and buildings at July 1 [Dataset]. http://doi.org/10.25318/3210004701-eng
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    Dataset updated
    May 28, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Value of farmland and buildings per acre, for Canada and the provinces at July 1 (in dollars).

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Statista (2025). Average house price in Nova Scotia, Canada 2018-2024, with a forecast by 2026 [Dataset]. https://www.statista.com/statistics/604264/median-house-prices-nova-scotia/
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Average house price in Nova Scotia, Canada 2018-2024, with a forecast by 2026

Explore at:
Dataset updated
Jul 11, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Canada
Description

The average house price in Nova Scotia in 2024 stood at approximately ******* Canadian dollars. In the next year, house prices are forecast to further increase by about five percent. Compared to other provinces, Nova Scotia ranked below the national average in terms of house prices. However, the average price of a house in Nova Scotia was twice lower than in Ontario or British Columbia. Exploding population growth in recent yearsNova Scotia is the second-smallest province after Prince Edward Island, and had a population of just under *********** in 2018. The population of this province was relatively steady between 2000 and 2015, but has taken off since then. This sudden growth may be a factor in the increasing house prices, as demand also increases due to the greater number of residents looking for homes. The future of housing affordability in Nova ScotiaHalifax, the provincial capital, had an affordable housing market as of 2018, with mortgage payments only constituting about ** percent of average household incomes. The number of housing starts in the region has increased in the past few years, which also suggests an increase in demand. Only time will tell whether this will ensure a sufficient supply of homes for the region in response to its growing population.

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