Welcome!

News Feed Item

March 2014 Housing Starts in Canada

OTTAWA, ONTARIO -- (Marketwired) -- 04/08/14 -- Housing starts in Canada were trending at 184,476 units in March compared to 191,126 in February, according to Canada Mortgage and Housing Corporation (CMHC). The trend is a six-month moving average of the monthly seasonally adjusted annual rates (SAAR)(1) of housing starts.

CMHC uses the trend measure as a complement to the monthly SAAR of housing starts to account for considerable swings in monthly estimates and obtain a more complete picture of the state of the housing market. In some situations analyzing only SAAR data can be misleading in some markets, as they are largely driven by the multiples segment of the markets which can be quite variable from one month to the next.

The standalone monthly SAAR was 156,823 units in March, a decrease from 190,639 in February. The SAAR of urban starts decreased by 18.8 per cent in March to 142,502 units. Multiple urban starts decreased by 25.5 per cent to 87,372 units in March while the single-detached urban starts segment decreased by 5.4 per cent to 55,130 units.

In March, the seasonally adjusted annual rate of urban starts increased in British Columbia and the Prairies, and decreased in Atlantic Canada, Ontario and Quebec.

Rural starts(2) were estimated at a seasonally adjusted annual rate of 14,321 units.

Preliminary Housing Starts data is also available in English and French at the following link: Preliminary Housing Starts Tables

(1) All starts figures in this release, other than actual starts and the trend estimate, are seasonally adjusted annual rates (SAAR) - that is, monthly figures adjusted to remove normal seasonal variation and multiplied by 12 to reflect annual levels. By removing seasonal ups and downs, seasonal adjustment allows for a comparison from one season to the next and from one month to the next. Reporting monthly figures at annual rates indicates the annual level of starts that would be obtained if the monthly pace was maintained for 12 months. This facilitates comparison of the current pace of activity to annual forecasts as well as to historical annual levels.

(2) CMHC estimates the level of starts in centres with a population of less than 10,000 for each of the three months of the quarter, at the beginning of each quarter. During the last month of the quarter, CMHC conducts the survey in these centres and revises the estimate.

As Canada's national housing agency, CMHC draws on more than 65 years of experience to help Canadians access a variety of high quality, environmentally sustainable and affordable housing solutions. CMHC also provides reliable, impartial and up-to-date housing market reports, analysis and knowledge to support and assist consumers and the housing industry in making informed decisions.

Follow CMHC on Twitter @CMHC_ca

This release is also available at www.cmhc.ca.

Additional data is available upon request.

(Ce document existe egalement en francais)

A table and a graph are available at the following address: http://media3.marketwire.com/docs/938282a.pdf

Contacts:
Charles Sauriol
CMHC Media Relations
(613) 748-2799
[email protected]

More Stories By Marketwired .

Copyright © 2009 Marketwired. All rights reserved. All the news releases provided by Marketwired are copyrighted. Any forms of copying other than an individual user's personal reference without express written permission is prohibited. Further distribution of these materials is strictly forbidden, including but not limited to, posting, emailing, faxing, archiving in a public database, redistributing via a computer network or in a printed form.

Latest Stories
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will d...
While DevOps most critically and famously fosters collaboration, communication, and integration through cultural change, culture is more of an output than an input. In order to actively drive cultural evolution, organizations must make substantial organizational and process changes, and adopt new technologies, to encourage a DevOps culture. Moderated by Andi Mann, panelists discussed how to balance these three pillars of DevOps, where to focus attention (and resources), where organizations might...
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Le...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.
CI/CD is conceptually straightforward, yet often technically intricate to implement since it requires time and opportunities to develop intimate understanding on not only DevOps processes and operations, but likely product integrations with multiple platforms. This session intends to bridge the gap by offering an intense learning experience while witnessing the processes and operations to build from zero to a simple, yet functional CI/CD pipeline integrated with Jenkins, Github, Docker and Azure...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Dhiraj Sehgal works in Delphix's product and solution organization. His focus has been DevOps, DataOps, private cloud and datacenters customers, technologies and products. He has wealth of experience in cloud focused and virtualized technologies ranging from compute, networking to storage. He has spoken at Cloud Expo for last 3 years now in New York and Santa Clara.
Enterprises are striving to become digital businesses for differentiated innovation and customer-centricity. Traditionally, they focused on digitizing processes and paper workflow. To be a disruptor and compete against new players, they need to gain insight into business data and innovate at scale. Cloud and cognitive technologies can help them leverage hidden data in SAP/ERP systems to fuel their businesses to accelerate digital transformation success.
Containers and Kubernetes allow for code portability across on-premise VMs, bare metal, or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this session we'll describe best practices for "configuration as code" in a Kubernetes environment. We will demonstrate how a properly constructed containerized app can be deployed to both Amazon and Azure ...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.