Centre releases uniform guideline for compilation of District Domestic Product estimates
New Delhi, June 3
The National Statistics Office has released the uniform guideline for the compilation of District Domestic Product estimates with the base year 2022-23, according to an official statement issued on Wednesday.
The guideline provides a comprehensive and uniform framework for compilation of District Domestic Product estimates across States and Union Territories with the objective of ensuring consistency, comparability and methodological standardisation in district level economic estimates under the revised base year framework.
The document elaborates the concepts, coverage, data sources, estimation procedures and methodologies for compilation of Gross District Domestic Product (GDDP), Net District Domestic Product (NDDP) and Per Capita Income at district level, the statement said.
The guideline primarily emphasises the compilation of DDP estimates using the bottom-up approach, wherever feasible, based on availability of district-level data. In sectors where district-wise information is not adequately available, appropriate top-down approaches and suitable allocation indicators have been recommended to derive district level estimates in a consistent manner.
At present, 26 States/UTs are compiling District Domestic Product (DDP) Estimates. The Ministry of Statistics & Programme Implementation (MoSPI) is making continuous efforts to onboard all States/UTs for compilation of DDP estimates in a uniform and comparable manner.
The finalised guideline is expected to facilitate harmonisation of estimation practices across States/UTs and strengthen the institutional framework for preparation of district level economic statistics.
The availability of reliable and comparable DDP estimates is expected to support decentralised planning, evidence-based policy formulation, regional development analysis and informed decision-making at the district levels.
The guideline would also help States/UTs in improving data systems and strengthening statistical capacity for preparation of robust district level estimates
Ministry of Statistics & Programme Implementation (MoSPI) had uploaded the Draft Guideline for Compilation of District Domestic Product (DDP) Estimates with Base Year 2022-23 on its official website April 7, 2026 for consultation and feedback from stakeholders, including StatesUTs, academic institutions, researchers and other users of Sub-State level Statistics.
The finalised "Guideline for Compilation of District Domestic Product (DDP) Estimates" are being released and uploaded on the official website of MoSPI after detailed examination of the comments and suggestions received from various stakeholders, the statement added.
— IANS
Reader Comments
Bottom-up approach sounds good on paper but I hope they have the data infrastructure to back it up. Many districts still don't have proper digital records. Let's see how this translates on the ground.
This is a necessary step for transparent fiscal federalism. Comparable data across states will allow for better resource allocation and help identify which districts need more investment in infrastructure or education.
Great initiative! As someone working in rural development, accurate per capita income at the district level will help us target schemes better. But they should also train local officials in data collection to avoid manipulation.
Base year 2022-23 makes sense given the post-pandemic recovery. But I'm skeptical about the 'top-down' approach – too many assumptions can distort reality. Hope they prioritize grassroots data over estimates.
Finally, some data we can actually use for planning! But will it be easily available to the public? Open data portals would make this truly useful for researchers and journalists. Otherwise, it's just another government document sitting on a shelf. 😅
Important move for decentralised planning. However, the real test will be in states with weak statistical departments. They need to invest in training and technology simultaneously. Without capacity building, uniformity is a distant dream.