Datasets:

DataDrivenConstruction
/

cwicr-construction-rates

The modern construction industry in Eurasia and the Asia-Pacific region relies on a unified ecosystem of technical standardization that serves as a common engineering language for more than 10 dynamically developing economies.

The DDC CWICR database (Construction Work Items, Components & Resources) is an attempt to harmonize standards, creating a seamless regulatory space for capital project management across multiple languages. The database covers the full spectrum of construction work: from earthworks and concrete to specialized installation operations.

Data Sources

DDC CWICR is built on official construction cost standards from Eurasian countries that are publicly available. The database was developed in close collaboration with estimators and construction specialists from different countries, which allowed us to take into account practical aspects of working with data. The data has been systematized into a unified structure, harmonized methodologically, and presented in 11 language versions and 11 regional pricing versions for international use.

Historical Development

The methodology of resource-based standardization of construction work has been continuously developing and improving since the 1920s — from the first production norms to modern digital reference books. Over a century, the system has evolved from manual calculations to machine-readable databases while preserving the fundamental principle: accurate recording of physical resources per unit of construction output.

The modern version integrates historical data with current market prices. In local markets, similar systems are adapted and known under national codes: ENIR, GESN, FER, NRR, ESN, AzDTN, ShNQK, MKS ChT, SNT, BNbD, Dinh Muc, Ding'e.

Resource-Based Costing Methodology

The key value of Resource-Based Costing is the separation of unchanging production technology from the volatile financial component: it is based on the physical "first principles" of construction — standard norms for labor costs, machine time, and material consumption. These norms remain virtually unchanged regardless of which country the construction is carried out in.

This enables transparent pricing, eliminates hidden markups, and allows for Deep-Dive Audit of investments. As a result, DDC CWICR serves not just as a reference book, but as a fundamental risk management tool that has become the de facto industry standard for the macro-region over the past century.

Database Statistics

55,719 work items and rates
27,672 unique resources
10+ countries of application

Data Structure

The database contains 85 columns organized into logical groups:

Classification Hierarchy

10 columns

category_type, collection_code/name, department_code/name, section_name, subsection_code/name

Rate (Work Item)

11 columns

rate_code, rate_original_name, rate_unit, row_type, flags is_material/is_labor/is_machine/is_abstract

Resources

7 columns

resource_code, resource_name, resource_unit, resource_quantity, resource_price_per_unit, resource_cost

Labor

11 columns

count_workers/engineers/operators, labor_hours by category, cost_of_working_hours

Machinery & Equipment

12 columns

machine_class, personnel_operator_grade, electricity_consumption_kwh, electricity_cost

Price Variants

16 columns

price_est_min/max/median/mean, position_count, tech_group

Mass

3 columns

mass_name, mass_value, mass_unit

Use Cases

Cost Benchmarking — Compare costs across regions
Price Indexation — Track dynamics
Localization — Adapt to local conditions
ETL/BI Pipelines — Extract and transform data
AI/ML Training — Train models
CAD (BIM) 5D Integration — Auto-assign rates
Tender Estimation — Quick estimates
CO2 Calculation — Calculate carbon footprint
Deep-Dive Audit — Technical audit

Geographic Coverage

The methodology and database are applied in various adaptations in the following regions:

Central Eurasia (CIS): Belarus, Kazakhstan, Kyrgyzstan, Russia, Tajikistan, Turkmenistan, Uzbekistan
Caucasus: Armenia, Azerbaijan, Georgia
Eastern Europe: Moldova, Ukraine
East Asia (Quota System): China (Ding'e), Mongolia (BNbD), Vietnam (Dinh Muc)
International Projects: Bangladesh, Egypt, Turkey
Historical Application (1950-1990): Bulgaria, Czechoslovakia, Hungary

Collaboration and Development

We are open to dialogue with the professional community. Your experience using the database in real projects helps improve the platform and expand its capabilities. Share use cases, suggest improvements, and participate in discussions.

GitHub: github.com/datadrivenconstruction
Telegram: t.me/datadrivenconstruction
LinkedIn: linkedin.com/company/datadrivenconstruction

Consulting and Training

We work with leading construction, engineering, consulting agencies and technology firms around the world to help them implement open data principles, automate CAD/BIM processing and build robust ETL pipelines.

If you would like to test this solution with your own data, or are interested in adapting the workflow to real project tasks, feel free to contact us. Our team delivers hands-on workshops, provides strategic consulting, and develops prototypes tailored to real project processes.

We actively support organizations seeking practical solutions for digital transformation and interoperability, focusing on data quality and classification challenges, and driving the adoption of open and automated workflows.

Contact us for a free consultation where we'll discuss your challenges and demonstrate how n8n automation can transform your operations. Reach out via Email at info@datadrivenconstruction.io or visit our website at datadrivenconstruction.io to learn more about our services.

Support the Project

If you find our tools and databases useful and would like to see more applications for the construction industry, please star our repositories on GitHub. This helps the project grow and allows you to receive notifications about new releases.

Based on DDC CWICR, you can build automated pipelines and workflows for integration with CAD (BIM), tendering systems, and BI platforms. New workflows, tools, and ready-made solutions are regularly published on GitHub and the project website. Subscribe to updates to be the first to access new releases.

CAD (BIM) Data Agents & Workflows + AI: github.com/datadrivenconstruction/cad2data-Revit-IFC-DWG-DGN-pipeline-with-conversion-validation-qto
OpenConstructionEstimate DDC CWICR: github.com/datadrivenconstruction/OpenConstructionEstimate-DDC-CWICR

Language Versions

Documentation is available in 11 languages:

Arabic / العربية (Dubai) — Middle East
Chinese / 中文 (Shanghai) — East Asia
Deutsch (Berlin) — Central Europe
English (Toronto) — North America
English (USA) — United States
English (UK) — United Kingdom
Español (Barcelona) — Iberia
Français (Paris) — Western Europe
Hindi / हिन्दी (Mumbai) — South Asia
Português (São Paulo) — Latin America
Russian / Русский (St. Petersburg) — CIS

Resources

Usage Example: https://openconstructionestimate.com
Website: https://datadrivenconstruction.io

Unlock the Power of Data in Construction

Move to full-cycle data management where only unified structured data & processes remain and where your data is yours

Artem Boiko, 2025