Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Through collecting 16 relatively small-scale motion datasets and conducting a series of in-lab expreiment, we established a 3D skeleton dataset for recognizing construction worker actions. All skeleton data were processed in four major steps, including uniform data extraction, skeleton structure alignment, resampling, and coordination transformation. Then all the aligned skeleton data will be manually annotated into four activity categories and assigned with labels.
Experiment version: It contains over 61,275 samples (10 million frames) from 73 classes performed by about 300 different subjects.The dataset includes four fundamental categories of activities, including Production Activities(12), Unsafe Activities(38), Awkward Activities(10), and Common Activities(13).
However, We have carefully reviewed the licenses of all the current datasets. We found more than half of the datasets did not specify their licenses and usage policy. Therefore, in this version, we only shared the tagged and processed dataset that clearly allows redistribution and modification. For the rest of the datasets, we highlighted their URL and doi (all of them are publicly accessible and free for use). Instead of providing the processed data, we public the full preprocess codes on GitHub, which could be used to retag and process (such as converting to predefined .bvh files). All readers and users could process the source dataset by themselves.
Public version: Construction Motion Data Library(CML) contains 6131 samples(ALL_DATA); among them, and 4333 samples are highly related to construction activities ( Construction_Related_Data).
GitHub: https://github.com/YUANYUAN2222/Integrated-public-3D-skeleton-form-CML-library.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
🇪🇪 에스토니아 English Construction activities by place of construction activity (quarterly).
https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required
Graph and download economic data for Private New Construction Activity, Commercial Buildings for United States (M02187USM398NNBR) from Jan 1939 to Dec 1963 about buildings, commercial, construction, new, private, and USA.
The biggest concern in the construction sector of the European Union (EU-27) was insufficient demand. Approximately **** percent of respondents as of July 2025 mentioned that insufficient demand was limiting their activities. However, there was an even higher percentage of construction companies that mentioned that there were no constraints limiting their activities.
This dataset contains data for all Commercial Demolition Permit applications issued in the last five years, including status and work performed.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Argentina Construction Activity Index: Highway & Street data was reported at 115.900 1997=100 in Dec 2009. This records a decrease from the previous number of 122.100 1997=100 for Nov 2009. Argentina Construction Activity Index: Highway & Street data is updated monthly, averaging 91.395 1997=100 from Jan 1993 (Median) to Dec 2009, with 204 observations. The data reached an all-time high of 138.200 1997=100 in Nov 2007 and a record low of 41.630 1997=100 in Jul 2002. Argentina Construction Activity Index: Highway & Street data remains active status in CEIC and is reported by National Institute of Statistics and Censuses. The data is categorized under Global Database’s Argentina – Table AR.EA004: Construction Activity Index: 1997=100.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Argentina Construction Activity Index: Buildings: Others data was reported at 138.800 1997=100 in Dec 2009. This records a decrease from the previous number of 146.300 1997=100 for Nov 2009. Argentina Construction Activity Index: Buildings: Others data is updated monthly, averaging 93.845 1997=100 from Jan 1993 (Median) to Dec 2009, with 204 observations. The data reached an all-time high of 163.600 1997=100 in Nov 2007 and a record low of 48.710 1997=100 in Feb 2002. Argentina Construction Activity Index: Buildings: Others data remains active status in CEIC and is reported by National Institute of Statistics and Censuses. The data is categorized under Global Database’s Argentina – Table AR.EA004: Construction Activity Index: 1997=100.
In January 2025, over half of the construction companies in the Netherlands mentioned that there was no constraint limiting their building activity. However, 17 percent of companies mentioned that the shortage of labor was limiting their activities. Over 10 percent of construction firms mentioned that there was insufficient demand.
In May 2025, 57 percent of the surveyed construction companies in Sweden mentioned insufficient demand as one of the factors that were limiting their activities. Another disruptive factor for Swedish construction companies at that time was the financial constraints that they were facing, with over 12 percent of respondents considering it a disruptive factor.
Map of current construction activity. Update Frequency: Daily
Subject Series - Misc Subjects: Construction Activity for Selected Industries for the selected geographies: 2012.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Sweden - Building activity was -4.20 % year-on-year in December of 2023, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Sweden - Building activity - last updated from the EUROSTAT on July of 2025. Historically, Sweden - Building activity reached a record high of 54.80 % year-on-year in December of 2015 and a record low of -15.90 % year-on-year in January of 2015.
https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required
Graph and download economic data for Private New Construction Activity, Commercial Buildings, Value in Constant Dollars for United States (M0288BUSM382SNBR) from Jan 1946 to Dec 1963 about buildings, commercial, construction, new, private, real, and USA.
An ArcGIS Instant Apps app used by the general public to track individual building permits and general construction activity.
Map of current construction activity. Update Frequency: Daily
According to our latest research, the global construction activity management software market size reached USD 8.3 billion in 2024, reflecting robust adoption across the construction sector. The market is projected to grow at a CAGR of 10.4% from 2025 to 2033, reaching a forecasted market size of USD 20.3 billion by 2033. This remarkable growth is largely attributed to the increasing digital transformation initiatives within the construction industry, rising demand for real-time project tracking, and the need for improved collaboration among stakeholders. As organizations continue to modernize their operations, the integration of advanced software solutions remains a pivotal factor driving the expansion of the construction activity management software market.
One of the primary growth drivers for the construction activity management software market is the heightened emphasis on project efficiency and cost control within the construction sector. As construction projects become more complex and distributed, the ability to manage multiple activities, resources, and timelines seamlessly becomes critical. Software solutions offer a centralized platform that enables real-time monitoring of project progress, allocation of resources, and automated scheduling, which significantly reduces project delays and cost overruns. Furthermore, the integration of analytics and reporting tools empowers project managers to make data-driven decisions, enhancing productivity and ensuring that projects are completed within budget and on schedule.
Another significant factor fueling the market’s growth is the rapid adoption of cloud-based deployment models, which offer scalability, flexibility, and remote accessibility. The construction industry, traditionally characterized by on-site operations, has increasingly embraced cloud technology to enable collaboration among geographically dispersed teams. Cloud-based construction activity management software allows stakeholders to access project data, documents, and schedules from any location, facilitating real-time communication and decision-making. This shift is particularly beneficial for large-scale infrastructure projects and multinational construction firms, as it streamlines workflows and reduces the risk of miscommunication and information silos.
The growing focus on regulatory compliance and risk management has also contributed to the rising demand for construction activity management software. Governments and regulatory bodies worldwide are enforcing stricter standards for safety, environmental impact, and quality assurance in construction activities. Software solutions equipped with compliance management features help construction companies adhere to these regulations by automating documentation, tracking compliance status, and generating audit trails. This not only mitigates risks associated with non-compliance but also enhances the reputation and credibility of construction firms in the eyes of clients and stakeholders. As regulations continue to evolve, the need for robust compliance management tools will further accelerate the adoption of construction activity management software.
From a regional perspective, North America and Europe are at the forefront of market adoption, driven by the presence of established construction firms, high levels of digitalization, and supportive regulatory frameworks. The Asia Pacific region, however, is emerging as the fastest-growing market, propelled by rapid urbanization, infrastructure development, and increasing investments in smart city projects. Latin America and the Middle East & Africa are also witnessing steady growth, albeit at a slower pace, as construction companies in these regions gradually embrace digital transformation. The regional landscape is characterized by varying levels of technology adoption, regulatory requirements, and market maturity, influencing the deployment and utilization of construction activity management software across different geographies.
A map used in the Construction Activity Tracker application to review the status of construction activity in their community.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Analysis of ‘New construction activity according to construction project status and city district since 2009’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/96cddde2-a1c7-429d-981f-48c3c56fef19-stadt-zurich on 17 January 2022.
--- Dataset description provided by original source is as follows ---
The dataset contains the number of buildings, building costs, volume and number of apartments of new construction projects by construction project status and city quarter since 2009.
--- Original source retains full ownership of the source dataset ---
🇨🇭 스위스 English The data set contains the construction sum and the number of new construction projects by construction project status and urban district.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Through collecting 16 relatively small-scale motion datasets and conducting a series of in-lab expreiment, we established a 3D skeleton dataset for recognizing construction worker actions. All skeleton data were processed in four major steps, including uniform data extraction, skeleton structure alignment, resampling, and coordination transformation. Then all the aligned skeleton data will be manually annotated into four activity categories and assigned with labels.
Experiment version: It contains over 61,275 samples (10 million frames) from 73 classes performed by about 300 different subjects.The dataset includes four fundamental categories of activities, including Production Activities(12), Unsafe Activities(38), Awkward Activities(10), and Common Activities(13).
However, We have carefully reviewed the licenses of all the current datasets. We found more than half of the datasets did not specify their licenses and usage policy. Therefore, in this version, we only shared the tagged and processed dataset that clearly allows redistribution and modification. For the rest of the datasets, we highlighted their URL and doi (all of them are publicly accessible and free for use). Instead of providing the processed data, we public the full preprocess codes on GitHub, which could be used to retag and process (such as converting to predefined .bvh files). All readers and users could process the source dataset by themselves.
Public version: Construction Motion Data Library(CML) contains 6131 samples(ALL_DATA); among them, and 4333 samples are highly related to construction activities ( Construction_Related_Data).
GitHub: https://github.com/YUANYUAN2222/Integrated-public-3D-skeleton-form-CML-library.