Statistical Atlas
The Statistical Atlas is ORBICAP’s analytical map of the core frameworks, principles, and concepts that underpin credible and sustainable statistical systems. It brings together the key elements of statistical governance, quality assurance, and capacity development, highlighting how they interact within national and international statistical architectures.
Rather than providing technical guidance, the Atlas offers a structured perspective on how statistical systems are designed, governed, and strengthened over time.
Fundamental Principles of Official Statistics: The ten Fundamental Principles of Official Statistics form the ethical and institutional foundation of official statistics. They define professional independence, integrity, transparency, and accountability, and serve as a reference point for governance, quality assurance, and trust in statistical systems.
Quality Assurance Frameworks and GSBPM - Governing Statistical Quality: Quality assurance frameworks translate principles into practice. This section examines international quality assurance frameworks, including national and international QAFs, and their relationship with the Generic Statistical Business Process Model (GSBPM). The focus is on how quality is governed, monitored, and sustained across statistical production processes.
Sustainable Development Goals and Statistical Capacity: The Sustainable Development Goals place specific demands on national statistical systems. This section examines how SDG monitoring is integrated into statistical governance, planning, and quality assurance, and how the coherence between SDG indicators and official statistics is ensured over time.
Statistical Capacity Building - Strengthening Systems for the Future: Statistical capacity building is a system-level endeavour. This section focuses on how national statistical systems are strengthened through governance arrangements, institutional coordination, and sustained investment in quality, rather than through isolated technical interventions.