Dutch Central Bureau of Statistics Public Datasets - STANDARD 72 & 74 (Cross-Domain Statistical Frameworks).

This listing provides direct access to the structural backbone of the CBS (Statistics Netherlands) database, focusing entirely on the **STANDARD_72_74** schema. This specialized dataset serves as a curated set of cross-domain statistical outputs, acting as foundational reference frameworks and supporting tables within the broader CBS ecosystem. Bringing together 160 highly comprehensive tables, this product provides the baseline benchmarks necessary to anchor and normalize broader statistical analyses. It bridges critical long-term structural boundaries, connecting ancient cross-domain reference matrices such as the definitive 1899 national population and occupational census frameworks with modern core metrics like multi-decade business turnover indices and macroeconomic sentiment indicators (e.g., Consumer Confidence 1972–2016). Rather than leaving these crucial, foundational frameworks isolated or buried in disconnected silos, we maintain their rigorous structural formats while delivering them in an instantly queryable, unified environment inside your Snowflake workspace.

What is Included

- **Cross-Domain Reference Matrices:** Invaluable, baseline historical framework tables, including the definitive 1899 population and occupational censuses (Volkstelling & Beroepstelling), which serve as foundational demographic anchors for the Dutch statistics ecosystem.
- **Macro-Economic Frameworks:** Core structural economic registers, including long-term Consumer Confidence records (1972–2016), official national ledger matrix balances (Nationale Rekeningen) , corporate bankruptcy statistics, and large enterprise finance tracking.
- **Sectoral & Business Benchmarks:** Structural turnover index sheets and growth development matrices mapping key industries including retail, wholesale trade, hospitality (Horeca), construction, and the computing sector.
- **Labor & Resource Supporting Tables:** Critical baseline indicators for long-term unemployment characteristics, regional job vacancies mapped by historical industrial codes (SBI), national research & development (R&D) funding scales, and multi-decade agricultural/livestock volumes.

Technical Excellence

- **Daily Delta Sync:** Every dataset is checked and refreshed nightly via an incremental check at 1:00 AM CET. The system queries the CBS catalog and only downloads updates if a newer modified date is detected, ensuring data integrity.
- **Metadata-Rich:** Each table inherits full column-level documentation. Official Dutch and English descriptions are dynamically mapped onto the views during our sync process, ensuring immediate clarity inside your Snowflake database sidebar.<br/><br/>*Data captured and curated daily by DDBM B.V. from the Dutch Central Bureau for Statistics ([https://www.cbs.nl](https://www.cbs.nl/)).*