The National Statistics Office (NSO), Ministry of Statistics & Programme Implementation (MoSPI) uploaded the Draft Guideline for Compilation of District Domestic Product (DDP) Estimates with Base Year 2022-23 on the official website of MoSPI on 07.04.2026 for consultation and feedback
Stakeholders consulted included States/UTs, academic institutions, researchers, and other users of Sub-State level Statistics
The finalized "Guideline for Compilation of District Domestic Product (DDP) Estimates" are being released after detailed examination of comments and suggestions
The guideline provides a comprehensive and uniform framework for compilation of District Domestic Product estimates across States and Union Territories
Objective: Ensuring consistency, comparability and methodological standardization in district level economic estimates under the revised base year framework
The document elaborates concepts, coverage, data sources, estimation procedures and methodologies for compilation of:
Gross District Domestic Product (GDDP)
Net District Domestic Product (NDDP)
Per Capita Income at district level
The guideline emphasizes compilation of DDP estimates using bottom-up approach where feasible based on availability of district-level data
For sectors where district-wise information is not adequately available, appropriate top-down approaches and suitable allocation indicators are recommended
Currently 26 States/UTs are compiling District Domestic Product (DDP) Estimates
MoSPI is making continuous efforts to onboard all States/UTs for compilation of DDP estimates in a uniform and comparable manner
The finalized guideline is expected to facilitate harmonization of estimation practices across States/UTs
The guideline will strengthen institutional framework for preparation of district level economic statistics
Availability of reliable and comparable DDP estimates is expected to support:
Decentralized planning
Evidence-based policy formulation
Regional development analysis
Informed decision-making at district levels
The guideline would help States/UTs in improving data systems and strengthening statistical capacity for robust district level estimates
