This dataset provides a detailed analysis of investment in building construction in Canada. The data is sourced from Statistics Canada and offers comprehensive insights into investment values across various types of structures and work. The dataset is structured to include key metrics such as reference date, geographical location, type of structure, type of work, and investment value, providing a robust foundation for analyzing construction investment dynamics within the country.

Key Features

• Investment Metrics: The dataset includes investment values for both residential and non-residential construction, offering a complete picture of investment dynamics across different types of structures.
• Type of Work: Data is categorized by the type of work, including total types of work and new construction, providing insights into specific investment trends.
• Adjustment Types: Information is presented in both unadjusted and seasonally adjusted formats, allowing for comprehensive analysis under different conditions.
• Geographical Focus: Data is specific to Canada, providing insights into national investment trends and patterns.
• Unit of Measurement: Investment values are presented in dollars, allowing for straightforward analysis and comparison.

Potential Uses

• Construction Industry Analysis: Assist in understanding investment trends in the construction industry, which is crucial for market forecasting and planning.
• Economic Policy: Support policymakers in monitoring and ensuring compliance with construction investment trends and economic standards.
• Financial Planning: Provide insights into optimal investment strategies for construction companies and investors.
• Industry-Specific Insights: Evaluate the impact of investment trends on specific types of structures and potential growth or decline areas.
• Strategic Planning: Inform strategic planning for businesses and policymakers by providing a clear snapshot of current investment levels and trends.

This dataset consists of summary data for commercial, industrial, and public and institutional projects, based on building permits issued during each calendar year by cities and townships within the Region. Data is collected via an annual survey of building officials, in conjunction with collection of data on residential building permits.

Archived - Non-residential building construction price index (NRBCPI), type of building of major subtrade groups. Quarterly Data are available from the first quarter 1981. The table presents data for the most recent reference period and the last four periods. The base period for the index is (2002=100).

U.S. Nonresidential Construction Spending - Historical chart and current data through 2025.

France NBCS: Floor Area (FA): Non Residential (NR) data was reported at 2,484.965 sq m th in May 2018. This records an increase from the previous number of 1,627.255 sq m th for Apr 2018. France NBCS: Floor Area (FA): Non Residential (NR) data is updated monthly, averaging 2,776.899 sq m th from Jan 2000 (Median) to May 2018, with 221 observations. The data reached an all-time high of 4,357.776 sq m th in Sep 2001 and a record low of 1,455.234 sq m th in Jul 2016. France NBCS: Floor Area (FA): Non Residential (NR) data remains active status in CEIC and is reported by Ministry of Ecology, Sustainable Development and Energy. The data is categorized under Global Database’s France – Table FR.EA005: New Building Construction Started.

Investment in non-residential building construction by seasonal adjustment, type of building and prices for provinces and census metropolitan areas (CMA), quarterly data from 1997 to today.

Non-residential building construction price index, relative importance. Annual weights are available 2002.

This dataset package is focused on U.S construction materials and three construction companies: Cemex, Martin Marietta & Vulcan.

In this package, SpaceKnow tracks manufacturing and processing facilities for construction material products all over the US. By tracking these facilities, we are able to give you near-real-time data on spending on these materials, which helps to predict residential and commercial real estate construction and spending in the US.

The dataset includes 40 indices focused on asphalt, cement, concrete, and building materials in general. You can look forward to receiving country-level and regional data (activity in the North, East, West, and South of the country) and the aforementioned company data.

SpaceKnow uses satellite (SAR) data to capture activity and building material manufacturing and processing facilities in the US.

Data is updated daily, has an average lag of 4-6 days, and history back to 2017.

The insights provide you with level and change data for refineries, storage, manufacturing, logistics, and employee parking-based locations.

SpaceKnow offers 3 delivery options: CSV, API, and Insights Dashboard

Available Indices Companies: Cemex (CX): Construction Materials (covers all manufacturing facilities of the company in the US), Concrete, Cement (refinery and storage) indices, and aggregates Martin Marietta (MLM): Construction Materials (covers all manufacturing facilities of the company in the US), Concrete, Cement (refinery and storage) indices, and aggregates Vulcan (VMC): Construction Materials (covers all manufacturing facilities of the company in the US), Concrete, Cement (refinery and storage) indices, and aggregates

USA Indices:

Aggregates USA Asphalt USA Cement USA Cement Refinery USA Cement Storage USA Concrete USA Construction Materials USA Construction Mining USA Construction Parking Lots USA Construction Materials Transfer Hub US Cement - Midwest, Northeast, South, West Cement Refinery - Midwest, Northeast, South, West Cement Storage - Midwest, Northeast, South, West

Why get SpaceKnow's U.S Construction Materials Package?

Monitor Construction Market Trends: Near-real-time insights into the construction industry allow clients to understand and anticipate market trends better.

Track Companies Performance: Monitor the operational activities, such as the volume of sales

Assess Risk: Use satellite activity data to assess the risks associated with investing in the construction industry.

Index Methodology Summary Continuous Feed Index (CFI) is a daily aggregation of the area of metallic objects in square meters. There are two types of CFI indices; CFI-R index gives the data in levels. It shows how many square meters are covered by metallic objects (for example employee cars at a facility). CFI-S index gives the change in data. It shows how many square meters have changed within the locations between two consecutive satellite images.

How to interpret the data SpaceKnow indices can be compared with the related economic indicators or KPIs. If the economic indicator is in monthly terms, perform a 30-day rolling sum and pick the last day of the month to compare with the economic indicator. Each data point will reflect approximately the sum of the month. If the economic indicator is in quarterly terms, perform a 90-day rolling sum and pick the last day of the 90-day to compare with the economic indicator. Each data point will reflect approximately the sum of the quarter.

Where the data comes from SpaceKnow brings you the data edge by applying machine learning and AI algorithms to synthetic aperture radar and optical satellite imagery. The company’s infrastructure searches and downloads new imagery every day, and the computations of the data take place within less than 24 hours.

In contrast to traditional economic data, which are released in monthly and quarterly terms, SpaceKnow data is high-frequency and available daily. It is possible to observe the latest movements in the construction industry with just a 4-6 day lag, on average.

The construction materials data help you to estimate the performance of the construction sector and the business activity of the selected companies.

The foundation of delivering high-quality data is based on the success of defining each location to observe and extract the data. All locations are thoroughly researched and validated by an in-house team of annotators and data analysts.

See below how our Construction Materials index performs against the US Non-residential construction spending benchmark

Each individual location is precisely defined to avoid noise in the data, which may arise from traffic or changing vegetation due to seasonal reasons.

SpaceKnow uses radar imagery and its own unique algorithms, so the indices do not lose their significance in bad weather conditions such as rain or heavy clouds.

→ Reach out to get free trial

...

This dataset contains data on permits for residential construction collected in the Census Bureau's Building Permits Survey. Data is aggregated to the County level. Data is only for final permits, not preliminary permits. Final permit data is published in May of the following year. Annual data are available from 1980 through the most recent reporting year, and may also contain imputed values. This dataset is part of the State of the Cities Data Systems (SOCDS).

Data for all Commercial Building Permits issued since 2000, including status and work performed. Update Frequency: Daily

This table contains 10 series, with data for years 1981 - 1990 (not all combinations necessarily have data for all years), and was last released on 2007-04-13. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Residential status (2 items: Residential; Non-residential ...), Type of materials (5 items: Total materials; Structural materials; Architectural materials; Mechanical materials ...).

The data set is created by a 1x per year intersection of the non-residential buildings from the building file of the Wuppertal Statistical Office with the addresses of the real estate register. There is also a classification of the building construction year in 11 ages, most of which are 10-year intervals. The resulting data set models the buildings with the house number coordinates of the property register as point-shaped objects. The attributes include, among other things, the address (road name and house number), the building year and the age level from the above classification. The building file is based on the results of the 1987 census, it is continuously updated via the statistical survey sheets from the building application documents and status reports from the building approval process on the approval, start of construction and completion of the building. In 2015, the building file was systematically improved by comparisons with other data sources (Zensus 2011, data from the GWG, etc.). The annual intersection with the addresses of the property register takes place from 2017 onwards in the first half of each year. The intersection results are provided in the formats ESRI-Shapefile, KML, GeoJSON and CSV as open data under the CC BY 4.0 license.

The objective of the construction cost index is to show the development of costs incurred by the contractor/producer to carry out the construction process, in others words the cost of labour, materials and plant and overheads. The construction sector corresponds to the NACE Rev. 2 section F. Building construction (CC1) is further subdivided in residential building (CC11) and non-residential building (CC12). Data are not seasonally adjusted.

Global Non-Residential Construction Productivity Index by Country, 2022 Discover more data with ReportLinker!

The index relates to costs ruling on the first day of each month. NATIONAL HOUSE CONSTRUCTION COST INDEX; Up until October 2006 it was known as the National House Building Index Oct 2000 data; The index since October, 2000, includes the first phase of an agreement following a review of rates of pay and grading structures for the Construction Industry and the first phase increase under the PPF. April, May and June 2001; Figures revised in July 2001due to 2% PPF Revised Terms. March 2002; The drop in the March 2002 figure is due to a decrease in the rate of PRSI from 12% to 10¾% with effect from 1 March 2002. The index from April 2002 excludes the one-off lump sum payment equal to 1% of basic pay on 1 April 2002 under the PPF. April, May, June 2003; Figures revised in August'03 due to the backdated increase of 3% from 1April 2003 under the National Partnership Agreement 'Sustaining Progress'. The increases in April and October 2006 index are due to Social Partnership Agreement "Towards 2016". March 2011; The drop in the March 2011 figure is due to a 7.5% decrease in labour costs. Methodology in producing the Index Prior to October 2006: The index relates solely to labour and material costs which should normally not exceed 65% of the total price of a house. It does not include items such as overheads, profit, interest charges, land development etc. The House Building Cost Index monitors labour costs in the construction industry and the cost of building materials. It does not include items such as overheads, profit, interest charges or land development. The labour costs include insurance cover and the building material costs include V.A.T. Coverage: The type of construction covered is a typical 3 bed-roomed, 2 level local authority house and the index is applied on a national basis. Data Collection: The labour costs are based on agreed labour rates, allowances etc. The building material prices are collected at the beginning of each month from the same suppliers for the same representative basket. Calculation: Labour and material costs for the construction of a typical 3 bed-roomed house are weighted together to produce the index. Post October 2006: The name change from the House Building Cost Index to the House Construction Cost Index was introduced in October 2006 when the method of assessing the materials sub-index was changed from pricing a basket of materials (representative of a typical 2 storey 3 bedroomed local authority house) to the CSO Table 3 Wholesale Price Index. The new Index does maintains continuity with the old HBCI. The most current data is published on these sheets. Previously published data may be subject to revision. Any change from the originally published data will be highlighted by a comment on the cell in question. These comments will be maintained for at least a year after the date of the value change. Oct 2008 data; Decrease due to a fall in the Oct Wholesale Price Index. .hidden { display: none }

Like other Assessor and Recorder data sets from First American, BlackKnight, ATTOM or HouseCanary, we provide both residential real estate and commercial restate data on homes, properties and parcels nationally.

Over 60M parcels reflecting over 330M permits over the past 20 years.

This comprehensive dataset contains building permits issued in the United States, providing valuable insights into residential and commercial construction activities. With over millions of records covering millions of homes, this dataset offers a vast opportunity for analysis and business growth.

Includes permits from various states across the US

Covers residential and commercial construction activities

Insights:

Residential vs. Commercial: Analyze the distribution of permits by type (residential, commercial) to understand local market trends.

Construction Activity: Track permit issuance over time to identify patterns and fluctuations in construction activity.

Geographic Patterns: Examine the concentration of permits by state, county, or city to reveal regional development opportunities.

Potential Applications:

Contractors and Builders: Utilize this dataset to identify potential projects, estimate job values, and stay up-to-date on permit requirements.

Local Governments: Analyze building permit data to inform land-use planning, zoning regulations, and infrastructure development.

Investors and Developers: Explore the types of construction projects being undertaken in specific areas, enabling informed investment decisions.

Value Propositions:

Understand Current Home Condition: Gain insights into the current state of homes by analyzing building permit data, allowing you to:

Identify areas with high concentrations of permits

Determine the scope and type of work being performed

Infer the potential for improved home values

Lender Lead Generation: Use this dataset to identify potential refinance candidates based on improved homes, enabling lenders to:

Target homeowners who have invested in their properties

Offer tailored financial solutions to capitalize on increased property value

Contractor Lead Generation:

Solar installers can target neighbors of solar customers, increasing the chances of successful referrals and upselling opportunities.

Pool cleaners can target new pools, identifying potential customers for maintenance and cleaning services.

Roofing contractors can target homes with recent roofing permits, offering replacement or repair services to homeowners.

Home Service Providers:

Handyman services can target homes with permit records, offering a range of maintenance and repair services.

Appliance installers can target new kitchens and bathrooms, identifying potential customers for appliance installation and integration.

Real Estate Professionals:

Realtors can analyze permit data to understand local market trends, adjusting their sales strategies to capitalize on areas with high construction activity.

Property managers can identify potential investment opportunities, using permit data to evaluate the feasibility of investment projects.

Data Analysis Ideas:

Trend Analysis: Identify trends in permit issuance by type (residential, commercial), project size, or location to forecast future demand.

Geospatial Analysis: Visualize permit data on a map to analyze the concentration of construction activity and identify areas with high growth potential.

Correlation Analysis: Examine the relationship between permit issuance and local economic indicators (e.g., GDP, unemployment rates) to understand the impact of construction on the local economy.

Business Use Cases:

Market Research: Analyze permit data to inform business decisions about market trends, competition, and growth opportunities.

Risk Assessment: Identify areas with high concentrations of permits and potential risks (e.g., building code non-compliance) to adjust business strategies accordingly.

Investment Analysis: Use permit data to evaluate the feasibility of investment projects in specific regions or markets.

Data Visualization Ideas:

Interactive Maps: Create interactive maps to visualize permit concentration by location, type, and project size.

Permit Issuance Charts: Plot permit issuance over time to illustrate trends and fluctuations in construction activity.

Bar Charts by Category: Display the distribution of permits by category (e.g., residential, commercial) to highlight market trends.

Additional Ideas:

Combine with other datasets: Integrate building permit data with other sources (e.g., crime statistics, weather patterns) to gain a more comprehensive understanding of local conditions.

Analyze by demographic factors: Examine how permit issuance varies across different demographics (e.g., age, income level) to understand market preferences and behaviors.

Develop predictive models: Create statistical models to forecast future permit issuance based on historical trends and external factors.

Project and Permit...

Construction Spending in the United States increased 0.20 percent in August of 2025 over the previous month. This dataset provides the latest reported value for - United States Construction Spending - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Forecast: Non-Residential Construction Productivity Growth Rate in Japan 2024 - 2028 Discover more data with ReportLinker!

Class of structure of seven census metropolitan areas. The index is released on a quarterly basis. (Index 2002=100) The index includes data for the current period, as well as those for the last four periods.

Short-term business statistics (STS) give information on a wide range of economic activities. All STS data are index data. Additionally, annual absolute values are released for building permits indicators. Percentage changes are also available for each indicator: Infra-annual percentage changes - changes between two consecutive months or quarters - are calculated on the basis of non-adjusted data (prices) or calendar and seasonally adjusted data (volume and value indicators) and year-on-year changes - comparing a period to the same period one year ago - are calculated on the basis of non-adjusted data (prices and employment) or calendar adjusted data (volume and value indicators).

The index data are generally presented in the following forms:

• unadjusted
• calendar adjusted
• calendar and seasonally adjusted.

Depending on the EBS Regulation data are accessible as monthly, quarterly and annual data.

The STS indicators are listed below in five different sectors, reflecting the dissemination of these data in Eurostat’s online database “Eurobase”.

Based on the national data, Eurostat compiles short-term indicators for the EU and euro area. Among these, a list of indicators, called Principal European Economic Indicators (PEEIs) has been identified by key users as being of primary importance for the conduct of monetary and economic policy of the euro area. The PEEIs contributed by STS are marked with * in the text below.

The euro indicators are released through Eurostat's website.

INDUSTRY

• production (volume)*
• turnover: Total, Domestic market and Non-domestic market. A further breakdown of the non-domestic turnover into euro area and non-euro area is available for the euro area countries.
• producer prices (output prices)*: Total, Domestic market and Non-domestic market. A further breakdown of the non-domestic producer prices into euro area and non-euro area is available for the euro area countries.
• import prices*: Total, euro area market, Non euro area market (euro area countries only)
• labour input indicators: Number of employees and self-employed persons, Hours worked by employees, Gross wages and salaries

CONSTRUCTION

• production (volume)*
• building permits indicators*: number of dwellings, square meters of useful floor
• producer (output) prices in construction (if not available, they can be approximated by the construction costs variable)
• labour input indicators: number of employees and self-employed persons, hours worked by employees, gross wages and salaries

TRADE

• volume of sales (deflated turnover)*
• turnover (value)
• labour input indicators: number of employees and self-employed persons, hours worked by employees, gross wages and salaries

SERVICES

• production (volume)*
• turnover (in value)
• labour input indicators: number of employees and self-employed persons, hours worked by employees, gross wages and salaries
• producer prices (output prices)*

MARKET ECONOMY

• total market production (volume)
• registrations
• bankruptcies

National reference metadata of the reporting countries are available in the Annexes to this metadata file.