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Canadian Land and House Price Dynamics

Data Science and Analytics

Tags and Keywords

Housing

Prices

Canada

Index

Real

Estate

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Canadian Land and House Price Dynamics Dataset on Opendatabay data marketplace

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About

a detailed analysis of new housing price indexes across Canada. The information is derived from a reliable statistical survey and provides a clear breakdown of housing price metrics across various components, including the price index for total house and land, house only, and land only. The data is structured to include essential metrics such as geographical location, price index classification, and specific price values, establishing a strong foundation for examining housing price dynamics within the country. All information is presented in index units, with December 2016 serving as the base month (201612=100).

Columns

  • REF_DATE: The reference date, indicating the specific month and year when the data point was recorded. The minimum recorded date is 1 Jan 81, and the maximum is 1 Oct 24.
  • GEO: The geographical location or region to which the data is applicable. There are 40 unique geographical values.
  • DGUID: A unique code assigned to each record to ensure distinct identification in the dataset.
  • New housing price indexes: The specific category of the index, which includes the components: Total (house and land), house only, and land only.
  • UOM: The Unit of Measurement, which is Index, 201612=100.
  • UOM_ID: The unique identifier for the Unit of Measurement (347).
  • SCALAR_FACTOR: The scale at which the data is presented (units).
  • SCALAR_ID: The unique identifier for the scalar factor (0).
  • VECTOR: A unique identifier for the specific data point within the dataset, used for referencing.
  • COORDINATE: A numerical identifier that assists in locating the specific data point.
  • VALUE: The actual price index value for the specified category and date. Note that 17% of entries for this column are missing.
  • STATUS: Indicates the reliability or quality of the data point, such as whether the value is estimated (E) or actual.
  • SYMBOL: Provides additional information or a code related to the data point (currently 100% missing).
  • TERMINATED: Indicates whether the data point is still active or has been discontinued (currently 100% missing).
  • DECIMALS: The number of decimal places to which the data point is rounded (1).

Distribution

The raw data is available in a CSV format file, housing_price_indexes.csv, with a size of 9 MB and contains 15 columns. The expected update frequency for this data product is monthly. Key fields have 63.1k valid entries.

Usage

This data product is highly valuable for several applications:
  • Real Estate Market Analysis: Crucial for supporting market forecasting and planning by aiding in the understanding of housing price dynamics in Canada.
  • Investment Decisions: Provides essential insights needed to determine optimal investment strategies regarding real estate in various regions.
  • Economic Policy: Assists policymakers in monitoring housing market trends and ensuring adherence to economic standards.
  • Market-Specific Insights: Useful for evaluating the impact of housing price shifts on specific regions and identifying areas of potential growth or decline.
  • Strategic Planning: Informs strategic initiatives for both real estate developers and government policymakers by offering a clear snapshot of current housing price levels and trends.

Coverage

The geographic focus of the data is specific to Canada. The temporal precision is exceptional, with data time-stamped beginning in January 1981 and running through October 2024. The data includes 40 unique geographical locations and tracks three distinct new housing price index categories (total, house only, and land only).

License

CC0: Public Domain

Who Can Use It

  • Real Estate Analysts: To assess price volatility and predict future market conditions.
  • Financial Investors: To optimise capital deployment in Canadian property assets.
  • Government Policymakers: To track economic indicators and formulate regulatory responses to market shifts.
  • Property Developers: To inform long-term strategic planning and project feasibility studies based on land and housing price trends.

Dataset Name Suggestions

  • Canadian New Housing Price Index (1981–Present)
  • Canadian Land and House Price Dynamics
  • Real Estate Market Component Indicators for Canada

Attributes

Listing Stats

VIEWS

0

DOWNLOADS

0

LISTED

05/11/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

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Free

Download Dataset in CSV Format