This is the data generated from the U.S. Agency for International Development (USAID) annual surveys on behalf of the Office of the U.S. Trade Representative (USTR) to identify and quantify the U.S. Government's trade capacity building (TCB) activities in developing countries and transitional economies. This dataset contains the results of that survey including funding levels from fiscal year 1999 forward, with incorporated revisions to previous years' data.

Construction Bidding Cost Database Market Outlook

According to our latest research, the global Construction Bidding Cost Database market size reached USD 1.98 billion in 2024. The market is exhibiting robust momentum, propelled by the increasing digitization of construction processes and a heightened demand for cost transparency and efficiency. With a projected compound annual growth rate (CAGR) of 11.7% from 2025 to 2033, the market is forecasted to attain a value of USD 5.51 billion by 2033. This impressive growth trajectory is primarily driven by the widespread adoption of advanced software solutions in construction project management, a growing emphasis on minimizing bid errors, and the rising need for real-time data analytics to support accurate project estimation and cost control.

One of the primary growth factors for the Construction Bidding Cost Database market is the increasing complexity of construction projects globally. As projects become larger and more intricate, stakeholders demand precise cost estimation and bidding processes to ensure profitability and competitiveness. The integration of artificial intelligence and machine learning within construction bidding platforms has further enhanced accuracy and streamlined workflows. These technologies enable predictive analytics, automate repetitive tasks, and reduce human errors, thereby improving overall project outcomes. The need for robust cost databases is underscored by the rising frequency of design changes and scope modifications, which necessitate agile and responsive cost management solutions throughout the project lifecycle.

Another significant driver is the regulatory environment and the growing focus on compliance and risk management in construction. Governments and industry bodies are increasingly mandating transparent bidding processes and accurate cost reporting to mitigate risks of fraud, misallocation of funds, and project delays. The adoption of Construction Bidding Cost Database solutions enables stakeholders to maintain comprehensive audit trails, adhere to regulatory standards, and facilitate more effective communication among project participants. This is particularly evident in public infrastructure projects, where transparency and accountability are paramount. As a result, the market is witnessing accelerated adoption across both public and private sectors, further fueling its expansion.

The proliferation of cloud-based solutions is another key factor contributing to market growth. Cloud deployment offers unparalleled accessibility, scalability, and integration capabilities, allowing construction firms to manage bids and cost data across multiple locations and projects seamlessly. This has proven invaluable amidst the ongoing digital transformation of the construction industry, as organizations seek to leverage real-time data sharing and collaboration tools. Additionally, the shift towards integrated project delivery models and the use of Building Information Modeling (BIM) are reinforcing the need for comprehensive cost databases, enabling more accurate forecasting, budgeting, and resource allocation.

From a regional perspective, North America currently dominates the Construction Bidding Cost Database market, accounting for the largest share in 2024, followed closely by Europe and the Asia Pacific. The United States leads in terms of technology adoption and investment in digital construction solutions, while the Asia Pacific region is experiencing the fastest growth, driven by rapid urbanization, infrastructure development, and increasing construction activities in countries like China and India. Latin America and the Middle East & Africa are also emerging as promising markets, supported by government initiatives to modernize infrastructure and enhance construction sector productivity. Overall, the market exhibits a dynamic landscape with significant opportunities for innovation and expansion across all major regions.

Component Analysis

The Component segment of the Construction Bidding Cost Database mar

Building permits help to establish compliance of construction work with the minimum standards of safety established by the State Building Code to ensure public health and safety for everyone. A building permit is required before beginning most construction, demolition, modification and repair work. The Inspectional Services Department offers permitting processes tailored for a wide variety of projects, from home repairs to building demolition.

For more information on the permitting process, visit our Inspectional Services Department Permitting Process page. To apply for a new building permit or check the status of your pending permit application, go to our City of Boston Permits and Licenses Application page.

WHAT IS THE DATASET FOR?

This dataset includes information about building permits issued by the City of Boston from 2009 to the present. Permits that are being processed or have been denied, deleted, void or revoked are not included in the dataset.

WHAT PERMIT TYPES ARE PRESENT IN THE DATASET?

This dataset includes information about the following types of building permits:

• Short Form Building Permit
• Electrical Permit
• Plumbing Permit
• Gas Permit
• Electrical Low Voltage
• Long Form/Alteration Permit
• Electrical Fire Alarms
• Certificate of Occupancy
• Electrical Temporary Service
• Amendment to a Long Form
• Erect/New Construction
• Use of Premises
• Foundation Permit

For more information on these permits and their application process, visit our Building Permits information page.

WHAT DOES EACH PERMIT APPLICATION STATUS MEAN?

• Issued: indicates that the permit has been issued on date specified as issued_date.

• Open: indicates that the permit has been issued and is still valid for the applicant (i.e. not expired yet).

• Closed: indicates that the permit was successfully issued but is not valid anymore (i.e. has expired).

• Stop work: indicates the permit was successfully issued but it stopped working due to non-compliance or other issues before the expiration date.

--> Download extractions department by department on our website

The BDNB (National Building Database) is a mapping of the existing building stock. Structured in the ‘building’ mesh, it contains an identity card for each of the 32 million buildings, residential or tertiary. It is built by the geospatial crossing of some 20 databases from public bodies.

Updates:

• millesime 2023-11.a (format v0.7.7) (28 May 2024): heating/cooling networks + integration of SIRENE data + GNI + land files 2022 / maj ban/ maj BDTOPO
• millesime 2023-01.a (format v0.7.5) (17 January 2024): New geospatial crossing + MAJ DPE/RPLS/RNC
• millesime 2022-10-d (format v0.7.4) (03 July 2023): integration of multi-millennial dle, dvf_open, maj dpe
• millesime 2022-10-c (format v0.7.3) (22 March 2023): addition of new dpe + various fix
• v0.7.2_fix_extract_corse (20 January 2023): addition of the perimeter of Corsica that had not passed in the publication of v0.7.2
• v0.7.2 (22 November 2022): new relational model, more complete, better geospatial cross-breeding between the different databases, taking into account the first remarks that have been reported to us
• v0.6.2 (27 April 2022): republication of v06 data with release status patches. Display of ANAH RNC (National Register of Condominiums) data.

--> View detailed changelog

The BDNB is intended to be shared and to constitute an open reference framework, the basis for the development of multiple services carried out by public and private actors, but also a place for capitalizing knowledge on existing buildings.

The CSTB encourages the multiplication and diversity of BDNB use cases. It establishes the conditions for openness and interoperability, and is at the disposal of project promoters to support them in the implementation of their application. Possible areas of application include: thermal renovation of buildings, support for national and territorial public policies, the circular economy, risk management, etc.

The BDNB is paving the way for a unified "Geo-common" repository in co-production with all institutional partners and contributors, and is providing technological support for the project of a national repository for buildings GNI led by the Startup d'Etat GNI (ex Bat-Id)

Its construction has been initialised for the purposes of the [GO-Renovation] project (https://bdnb.io/services/gorenove). Go-Rénove is one of the 9 projects of the [PROFEEL] programme (https://programmeprofeel.fr/projets/go-renove/), carried out by professional building organisations and financed by the Energy Saving Certificates, in support of the energy renovation of existing buildings. The Go-renovation decision support services are the first operational application of the BDNB, on the theme of the renovation of the existing housing stock.

More information on https://bdnb.io/

For any topic of discussion, request for support, request for partnership or contact commercial, please contact contact with us.

For GPKG format we recommend using an up-to-date version of QGIS (3.36)

This is the dataset included in the paper "Causes of time and cost overruns in construction projects: a scoping review"

Welcome to the Construction Classification System Database for Understanding Resource Use in Buildings.

This database provides a novel dataset and a building material data structure to facilitate study of resource use in building design and construction. The ontology developed for this database uses UniFormat (CSI and CSC, 2010) in conjunction with MasterFormat (CSI and CSC, 2016) for organizing and storing the building material data.

The dataset was developed by collecting design or construction drawings for the studied buildings and performing material take-offs based on the drawings. The ontology is based on Uniformat and MasterFormat to facilitate interoperability with existing construction management practices, and to suggest a standardized structure for future MI studies. The structure of the database and these guidelines builds on the structure presented by (Heeren & Fishman, 2019).

The initial database version is created by the research team supervised by Prof. Shoshanna Saxe at the University of Toronto and submitted to the journal Scientific Data (Guven et al. 2021) in October 2021 to describe the dataset and the associated methods and details.

Thank you for considering contributing to the database. Data contributors must follow the steps detailed below and must ensure that their inputs do not infringe any intellectual property or copyright agreements.

References

i. CSI and CSC. (2010). UniFormat - A Uniform Classification of Construction Systems and Assemblies. Constructions Specification Institute (CIS) and Construction Specifications Canada (CSC).

ii. CSI and CSC. (2016). MasterFormat Numbers & Titles (pp. 1–186). pp. 1–186. Constructions Specification Institute (CIS) and Construction Specifications Canada (CSC).

iii. Guven, G., Arceo, A., Bennett, A., Tham, M., Olanrewaju, B., McGrail, M., Isin, K., Olson, A.W., and Saxe, S. (2021). “A Construction Classification System Database for Understanding Resource Use in Building Construction”, submitted October XX, 2021 to Scientific Data, Nature.

iv. Heeren, N., & Fishman, T. (2019). A database seed for a community-driven material intensity research platform. Scientific Data, 1–10. https://doi.org/10.1038/s41597-019-0021-x

Comprehensive dataset of 1,691 Construction companies in Louisiana, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 318 Road construction companies in California, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

China Construction: Project Revenue data was reported at 26,800,738.923 RMB mn in 2022. This records an increase from the previous number of 26,245,381.074 RMB mn for 2021. China Construction: Project Revenue data is updated yearly, averaging 3,940,958.660 RMB mn from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 26,800,738.923 RMB mn in 2022 and a record low of 116,953.690 RMB mn in 1990. China Construction: Project Revenue data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Construction Sector – Table CN.EE: Construction Enterprise: All.

Provides information on buildings and structures within designated historic districts and individual landmark sites.

OpenDAP is the Spanish, public, open and free-to-use database of environmental information for both generic and specific construction products. It is open to any Environmental Product Declarations (EPD) program operator and, for any life cycle analysis (LCA) calculation tool. OpenDAP is integrated into the InData network.

This dataset includes information about building permits issued by the City of Chicago from 2006 to the present, excluding permits that have been voided or revoked after issuance. Most types of permits are issued subject to payment of the applicable permit fee. Work under a permit may not begin until the applicable permit fee is paid.

For more information about building permits, see http://www.chicago.gov/permit.

Provides description, categorization, cost, and status of permitted work on properties. Includes history of permitted work.

The table Building Performance Data is part of the dataset U.S. Building Performance Database, available at https://cmu.redivis.com/datasets/8yz5-3vqbyynqy. It contains 439555 rows across 32 variables.

This material is part of the free Environmental Performance in Construction (EPiC) Database. The EPiC Database contains embodied environmental flow coefficients for 250+ construction materials using a comprehensive hybrid life cycle inventory approach.Recycled aggregate is a cheap and readily available product made from recycled construction materials. It is strong and durable with excellent drainage properties. It is typically comprised of concrete, stone, brick, ceramics, mortar and other common construction materials. It is produced using the waste materials collected from the demolition of building and infrastructure projects. Impurities such as metal, wood and timber are removed via magnets and other sorting techniques. The remaining materials are sorted by size, and crushed into a coarse aggregate.Recycled aggregate is becoming increasingly popular as a replacement for natural aggregates. It is commonly used for: bulk fill, road construction, gravel, and as an aggregate in concrete. When used in concrete, it is typically combined with fly ash or other additives to ensure improved strength and reliability.

China Construction: Project Cost data was reported at 24,632,363.170 RMB mn in 2022. This records an increase from the previous number of 24,139,114.125 RMB mn for 2021. China Construction: Project Cost data is updated yearly, averaging 4,797,161.861 RMB mn from Dec 1993 (Median) to 2022, with 30 observations. The data reached an all-time high of 24,632,363.170 RMB mn in 2022 and a record low of 265,141.530 RMB mn in 1993. China Construction: Project Cost data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Construction Sector – Table CN.EE: Construction Enterprise: All.

United States AHE: PW: Construction: Highway, Street & Bridge Construction data was reported at 36.410 USD in Mar 2025. This records an increase from the previous number of 36.190 USD for Feb 2025. United States AHE: PW: Construction: Highway, Street & Bridge Construction data is updated monthly, averaging 21.440 USD from Jan 1990 (Median) to Mar 2025, with 423 observations. The data reached an all-time high of 38.740 USD in Sep 2024 and a record low of 12.810 USD in Feb 1990. United States AHE: PW: Construction: Highway, Street & Bridge Construction data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G: Current Employment Statistics: Average Hourly Earnings: Production Workers.

This dataset shows the locations of Commercial Construction permits as extracted from the Accela database. The permits with a permit type of 'COMMCON' are extracted and mapped on a daily basis. The geographic location is determined from a link to the city's address database. Some permits who do not have valid city addresses are located at 0,0, off the map. The issue date is extracted and shows the date at which the permit was paid. Currently, this data only shows the permits Issued after June 7, 2015, the date Accela went live. To view previous permits, see the layer CV_LOC_COMMERCIAL_P.

As of November 2024, several high-value construction projects to develop wind farms and clean energy infrastructure among other projects had been added to the Australian Construction Infrastructure Forum (ACIF) Major Projects Database in Australia, with commencement dates between 2025 and 2030. The Elanora offshore wind farm stages 1 & 2 project had the highest value across the thirty major construction projects at around ** billion Australian dollars, with an expected start date of June 2029.

The dataset captures information related to building material which facilitates study of resource use in building design and construction. The dataset is the combination for design or constrution drawings for buildings and material requirements. The dataset has the advantage of Uniformat and MasterFormat which facilitates the interoperability with existing construction management practices and helps in standardizing construction management practices.