Housing Stock and Affordability Analysis

Advanced insights. Better decisions

Housing Stock and Affordability Analysis

We are Canada’s foremost independent housing analytics firm. We are trusted by CMHC, cities, and towns for their housing analysis needs and planning databases.

CANCEA has conducted extensive analyses on regional housing markets, affordability, and the needs of the population. Throughout said research, CANCEA has developed a large, linked database of households, properties, and the economy at a hyper-detailed geospatial resolution across the entire country. 

Our housing needs analysis presents an overview of a municipality’s demographic and housing situation, including trends, current state, and forecasts up to the desired planning horizon.

Our reports include:

Scenario and Sensitivity Analysis

Our socio-economic simulation platform is Canada’s largest and is used by clients that seek a comprehensive current and long-term analysis of different housing and policy scenarios. We project the characteristics of a municipality or region’s population or housing stock up to a defined planning horizon under different sets of assumptions. Scenarios and sensitivity analyses can help planners and policy-makers understand the risks, benefits, and potential pressures acting on the area. We work with our clients to determine the types of scenarios that would generate the most relevant insight. Example of scenarios include:

Interactive Database

We curate publicly available data from Statistics Canada, CMHC, and municipalities to create complete, high-resolution databases with consistent definitions across data sources. Our interactive housing databases include historical demographic and housing data and projections that can be filtered down to the individual or household level.

CANCEA’s highly curated databases offer the following value-adds:

More than 400

Leading companies and government institutions

Trust our services for policy and business-critical forward-looking analysis.


All of our socio-economic analysis, across 800 topics and over 56,000 local regions, are modelled as one system in one simulation platform ensuring the quality and consistency of insights generated across all locations and topics.
Our systems approach allows for best-of-class data generation and forecasting from hyper detailed trend and causation analysis.
Regional information that extends beyond traditional data sources to ensure that the best information on local area populations and economies can be utilized.

Hyper-detailed information accompanies our insights, predictions, and forecasts. Hyper-detailed trend and causation analysis is determined by data with little reliance upon assumptions.

The sheer richness of our data and simulation capabilities, both in terms of who, what, when, where, and the relationships between them, drive an ability to answer many more questions.

As a strictly data-driven firm, we are necessarily apolitical. The consistency of our hyper-detailed local data can be summed and independently verified against official projections by government statistical agencies, central banks, and the OECD.

Our dedication to a one-model systems approach with hyper-trend and causal analysis keeps assumptions to a minimum. Any assumptions are shared openly so you and others can use our results with confidence.

With modern technology, methods and access to data, high-quality socio-economic analysis and data should not cost as much as it does. We’ve made the investments and are keen to disrupt the industry with highly cost-effective services that matter to you.