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TwitterThis table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Prince Edward Island; Nova Scotia; Newfoundland and Labrador ...), Housing estimates (3 items: Housing starts; Housing under construction; Housing completions ...), Type of unit (6 items: Total units; Semi-detached; Single-detached; Multiples ...).
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Housing Starts in Canada decreased to 232.80 Thousand units in October from 279.20 Thousand units in September of 2025. This dataset provides the latest reported value for - Canada Housing Starts - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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Dataset Description: Vancouver Housing Data
The data folder contains structured property information extracted from real estate listings. It includes CSV files where each row represents a property with details such as price, location, size, number of bedrooms and bathrooms, and additional features like heating, cooling, and garage availability. This folder serves as the primary storage for processed real estate data, which can be used for market analysis, pricing trends, and investment insights.
Website: Remax Canada Date: February 16th, 2025
Real Estate Market Analysis: Price trends, demand, and supply insights. Investment Decisions: Identifying profitable locations. Property Feature Analysis: Understanding what factors influence pricing.
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These datasets provide information collected through EnerGuide Rating System (ERS) residential energy efficiency evaluations. Data is provided by calendar year, at the Forward Sortation Area level (FSA, the first 3 digits of the postal code) for files since 2004. Home energy efficiency evaluations are performed by independent service organizations (SOs) and their registered Energy Advisors (EAs) using Natural Resources Canada’s (NRCan) HOT2000 software to simulate the annual energy consumption of a home, as well as the impact of recommended upgrades. EAs perform tests and collect data about the home to populate an energy model and create a HOT2000 file, which is submitted to NRCan. The ERS database includes existing housing assessments (pre retrofit (D files), post retrofit (E files)), and evaluations for new homes (plan files (P file) and as-built houses (N files)). This dataset includes over 400 fields of home specific information (e.g. heating equipment fuel type, number of doors, etc.) available at the FSA level. Note that NRCan initiatives (ERS for existing and new homes) are voluntary, and may be affected by self-selection bias. Data is based on homes that received an EnerGuide Rating System evaluation and may not be representative of the entire Canadian housing stock. Some areas may be better represented due to participation in local incentive programs. In accordance with Statistics Canada policies, FSA’s with data from less than 10 homes have been removed from the dataset to protect against re-identification. Calculation results (such as energy consumption, heat losses and greenhouse gas emissions) are based on standardized operating conditions and long-term climate data. Data from a home energy evaluation is collected and entered manually and is subject to human error, despite some validations being done on each file. This dataset is provided to support research on residential energy efficiency. It is not intended to report on participation in energy retrofit incentive programs. The HOT2000 software calculations and data collection procedures have changed over time. Refer to the Data Dictionary for details. Natural Resources Canada is not responsible for the accuracy or completeness of the information contained in the reproduced material. Natural Resources Canada shall at all times be indemnified and held harmless against any and all claims whatsoever arising out of negligence or other fault in the use of the information contained in this publication or product.
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Significant progress has been made globally in reducing GHG emissions from the operation of buildings, however, huge challenges still remain in mitigating the embodied emissions from the manufacturing, transportation, and disposing of building materials. This is particularly relevant in BC, where electricity is largely generated from renewable sources, indicating limited potential for further reducing GHG emissions from building operations. Therefore, investigating the options to reduce embodied GHG emissions in building materials presents another crucial opportunity to further mitigate the overall GHG emissions from buildings. For example, the City of Vancouver’s newly released Climate Emergency Action Plan has set an ambitious goal of reducing 40% embodied GHG emissions in new buildings compared to the 2018 benchmark. To support decision-making that could ultimately fulfill such an ambitious goal, it is imperative that a standard approach is used to derive benchmark buildings and the corresponding bill-of-materials (BoM). Accordingly, we compiled a BoM dataset of 35 typical buildings in Canada. The data was classified into “whole-building level” and “assembly-level”, and building materials were sorted by an aggregation system (see below) in both classifications. Whole-building-level BoM contains data for 33 buildings, including institutional buildings and residential houses at the University of British Columbia, container-based single-family housing, single-family residential building, precast concrete commercial buildings, etc. On the other hand, assembly-level BoM contains material data for different structural components of one multi-unit apartment and one typical newly-built single-family home in Vancouver. The aggregation system organizes the material data by three tiers - M1, M2, and M3, which offers 3 hierarchical levels of specificity. The first hierarchical level (M1) provides the least specified information while the final level (M3) provides the most detailed information. For example, Aluminum cold-rolled sheet (M3) is categorized within Aluminum (M2) under Metal (M1). This aggregation system offers the flexibility for LCA practitioners to obtain BoM information at the resolution that fits their scope of work.
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High-wind events cause significant damage to structures and property; in particular, light-frame wood homes are especially vulnerable and are the most abundant housing type in North America. As with many regions, Canadian homes are built to prescriptive standards that are based on historical construction methods and have remained relatively unchanged structurally across several decades, even though energy requirements have changed substantially. The present work reviews existing recommendations and campaigns for wind resilience in other jurisdictions, assesses their relevance to the Canadian context, and evaluates current construction methods as well as proposed improvement alternatives. Components that are commonly observed to fail in Canadian tornado damage surveys are of primary interest; namely, roof sheathing, roof-to-wall connections, and discontinuities in wall-to-floor links. Limit states design-based calculations are completed to assess the adequacy of nailed components from an engineering design standpoint. Past work quantifying the inadequacy of roof sheathing provisions in the current version of the National Building Code of Canada is discussed, and new analyses are done for the other components. Sources of conservatism in design calculations are identified, and unfactored results are provided to describe more representative limit states. When the redundancy of load and resistance factors is removed, the results show that current prescriptive provisions for roof-to-wall fasteners are likely to be sufficient up to a failure wind pressure of about 0.6 kPa—this applies to most regions in Canada. The wall capacity calculations suggest significant vulnerability to uplift or sliding withdrawal of nailed connections; however, these results are considered to be especially conservative. Potential, non-structural sources of house capacity are discussed. In general, current prescriptive provisions are deemed suitable for the synoptic wind events that they are expected to face. However, concern is identified for houses in open terrain or those prone to tornado risk. Design recommendations are presented in the context of providing resistance to up to EF2 tornadoes.
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Number-of-Days-of-Payables Time Series for Skyline Corporation. Champion Homes, Inc. produces and sells factory-built housing in the United States and Canada. The company offers manufactured and modular homes, park models recreational vehicles and cabins, accessory dwelling units, commercial structures, and modular buildings for the single and multi-family markets. It builds homes under the Champion Homes, Genesis Homes, Skyline Homes, Regional Homes, Athens Park, Dutch Housing, Atlantic Homes, Excel Homes, Homes of Merit, New Era, J. Redman Homes, ScotBilt Homes, Shore Park, Silvercrest, and Titan Homes in the United States; and Moduline and SRI Homes brand names in western Canada. The company also provides construction services to install and set-up factory-built homes under the Champion Construction brand; operates a factory-direct manufactured home retail business under the Regional Homes, Titan Factory Direct, and Champion Homes Center brand names; and offers transportation services to manufactured housing and other industries. The company was formerly known as Skyline Champion Corporation and changed its name to Champion Homes, Inc. in August 2024. The company was founded in 2010 and is headquartered in Troy, Michigan.
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Operating-Return-On-Assets Time Series for Skyline Corporation. Champion Homes, Inc. produces and sells factory-built housing in the United States and Canada. The company offers manufactured and modular homes, park models recreational vehicles and cabins, accessory dwelling units, commercial structures, and modular buildings for the single and multi-family markets. It builds homes under the Champion Homes, Genesis Homes, Skyline Homes, Regional Homes, Athens Park, Dutch Housing, Atlantic Homes, Excel Homes, Homes of Merit, New Era, J. Redman Homes, ScotBilt Homes, Shore Park, Silvercrest, and Titan Homes in the United States; and Moduline and SRI Homes brand names in western Canada. The company also provides construction services to install and set-up factory-built homes under the Champion Construction brand; operates a factory-direct manufactured home retail business under the Regional Homes, Titan Factory Direct, and Champion Homes Center brand names; and offers transportation services to manufactured housing and other industries. The company was formerly known as Skyline Champion Corporation and changed its name to Champion Homes, Inc. in August 2024. The company was founded in 2010 and is headquartered in Troy, Michigan.
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Net-Income-Applicable-To-Common-Shares Time Series for Skyline Corporation. Champion Homes, Inc. produces and sells factory-built housing in the United States and Canada. The company offers manufactured and modular homes, park models recreational vehicles and cabins, accessory dwelling units, commercial structures, and modular buildings for the single and multi-family markets. It builds homes under the Champion Homes, Genesis Homes, Skyline Homes, Regional Homes, Athens Park, Dutch Housing, Atlantic Homes, Excel Homes, Homes of Merit, New Era, J. Redman Homes, ScotBilt Homes, Shore Park, Silvercrest, and Titan Homes in the United States; and Moduline and SRI Homes brand names in western Canada. The company also provides construction services to install and set-up factory-built homes under the Champion Construction brand; operates a factory-direct manufactured home retail business under the Regional Homes, Titan Factory Direct, and Champion Homes Center brand names; and offers transportation services to manufactured housing and other industries. The company was formerly known as Skyline Champion Corporation and changed its name to Champion Homes, Inc. in August 2024. The company was founded in 2010 and is headquartered in Troy, Michigan.
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This dataset contains the 4th year Capstone Design Project for the conservation of the Strutt House, a future use for the building was established, and appropriate interventions were designed. The report presented here, goes into detail with respect to the building conditions, its heritage value, character-defining elements, the structural analysis of the house, the design of interventions, and the feasibility of the overall project. All strategies relate back to the Standards and Guidelines for the Conservation of Historic Places in Canada and respect the character-defining elements of the building. Future direction, including recommendations to future designers on the Strutt House project and students working on future Capstone projects, are included. Nestled into the southwest edge of Gatineau Park is the family home of Canadian Architect James W. Strutt (1924-2008). Built-in 1957, the Strutt House is a split-level home consisting of three bedrooms, one and a half bathrooms, and an open concept kitchen and living space centred about the woodstove. The building’s design and materiality pay homage to the surrounding environment. Its construction in wood with large spans of glazing serves to mirror the deciduous and coniferous trees which surround the property. One of the most notable features of the House is its hyperbolic paraboloid wood roof structure, the first known example of its kind in Canada.
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TwitterThis table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Prince Edward Island; Nova Scotia; Newfoundland and Labrador ...), Housing estimates (3 items: Housing starts; Housing under construction; Housing completions ...), Type of unit (6 items: Total units; Semi-detached; Single-detached; Multiples ...).