Home India STATISTICS AND PROGRAMME IMPLEMENTATION Parliament Question: Transparency, Comparability and Public ...
Date: 2026-02-11 Category: Not Applicable State: Union Government Country: India

Parliament Question: Transparency, Comparability and Public Confidence in Official Statistics

Issued by STATISTICS AND PROGRAMME IMPLEMENTATION · Not Applicable

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Executive Summary & Key Takeaways

**Executive Summary** The Ministry of Statistics and Programme Implementation (MoSPI) has undertaken a comprehensive revision of the base year for Gross Domestic Product (GDP), Index of Industrial Production (IIP) and Consumer Price Index (CPI) to enhance relevance, accuracy, and international comparability. The new base years are proposed as 2022-23 for GDP and IIP, and 2024 for CPI. The release of the new GDP, CPI and IIP series is scheduled for February 27th, February 12th, and May 2026 respectively. **Key Points / Main Content** * **Base Year Revision:** * MoSPI is revising the base year for GDP, IIP, and CPI. * Proposed new base year for GDP and IIP: 2022-23. * Proposed new base year for CPI: 2024. * Revision is guided by Technical Advisory Committees/Expert Groups. * The revision work includes methodological improvements and incorporation of new data sources. * **Improvement Measures:** * Increased sample size in surveys. * Modified sampling design and survey instruments. * Implemented survey periodicity. * Utilized data from Periodic Labour Force Survey (PLFS), Household Consumption Expenditure Survey (HCES), and Annual Survey of Unincorporated Sector Enterprises (ASUSE). * **Release Dates:** * New GDP series release: February 27th, 2026. * New CPI series release: February 12th, 2026. * New IIP series release: May 2026. * All releases are made available on the MoSPI website. * **Transparency and Feedback:** * Consultative Workshops/Meetings with stakeholders for feedback on GDP, IIP & CPI revisions and surveys. * User feedback is incorporated in consultation with Technical Advisory Committee/Expert Groups. * **Accuracy and Transparency Measures:** * Utilizing digital platforms with built-in validation for data collection. * Advance Release Calendar (ARC) of statistical products on the website. * e-Sankhyiki portal for ease of Data Dissemination and Management. * Unit level survey data accessible on MoSPI's website. * Regular dialogues with data users/stakeholders. * National Meta Data Structure (NMDS) circulated among Ministries/Departments. **Impact Analysis** **Stakeholder: Researchers, Policymakers** * **Impact:** Easier access to unit-level data and improved data dissemination through the e-Sankhyiki portal, potentially informing their research and policy decisions. * **Action Required:** Utilize available data on MoSPI's website (www.mospi.gov.in). **Stakeholder: Ministries/Departments** * **Impact:** Enhanced clarity on data sources and collection methods due to the circulated National Meta Data Structure (NMDS). * **Action Required:** Utilize the NMDS to improve data discoverability and clarity. **Stakeholder: Data Users/Stakeholders** * **Impact:** Increased opportunity to provide feedback and understand data published by MoSPI through regular dialogues. * **Action Required:** Participate in regular dialogues with data users to provide feedback to enhance their understanding of the data.

Key Entities Referenced

Ministry of Statistics and Programme Implementation (MoSPI): The primary government body responsible for statistical data and its revision, including GDP, CPI, and IIP. Gross Domestic Product (GDP): One of the key economic indicators undergoing base year revision. Consumer Price Index (CPI): One of the key economic indicators undergoing base year revision. Index of Industrial Production (IIP): One of the key economic indicators undergoing base year revision. Technical Advisory Committee / Expert Groups: Committee providing guidance on the base year revisions of GDP, CPI and IIP.
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GOVERNMENT OF INDIA MINISTRY OF STATISTICS AND PROGRAMME IMPLEMENTATION LOK SABHA UNSTARRED QUESTION NO. 2059 TO BE ANSWERED ON 11.02.2026 TRANSPARENCY, COMPARABILITY AND PUBLIC CONFIDENCE IN OFFICIAL STATISTICS 2059. SHRI SASIKANTH SENTHIL: Will the Minister of STATISTICS AND PROGRAMME IMPLEMENTATION be pleased to State: (a) whether the Government has undertaken major methodological changes in surveys and base year revisions of Gross Domestic Product (GDP), Consumer Price Index (CPI) and Index of Industrial Production (IIP) in recent years and if so, the details thereof; (b) whether these changes have led to variations in estimates when compared with earlier series; (c) if so, the details thereof; (d) the manner in which expert consultations and user feedback have been incorporated before finalising such changes; and (e) the steps being taken to ensure transparency, comparability and public confidence in official statistics? ANSWER MINISTER OF STATE (INDEPENDENT CHARGE) OF THE MINISTRY OF STATISTICS AND PROGRAMME IMPLEMENTATION; MINISTER OF STATE (INDEPENDENT CHARGE) OF THE MINISTRY OF PLANNING AND MINISTER OF STATE IN THE MINISTRY OF CULTURE (RAO INDERJIT SINGH) (a): Ministry of Statistics and Programme Implementation (MoSPI) has decided a comprehensive exercise for revision of the base year of Gross Domestic Product (GDP), Index of Industrial Production (IIP) and Consumer Price Index (CPI) to enhance their relevance, accuracy and international comparability. The proposed new base year for the GDP and IIP is 2022-23, and for CPI the proposed base year is 2024. Base year revision of GDP, CPI & IIP is guided by the respective Technical Advisory Committee / Expert Groups comprising of experts from Academia, Central and State Governments, RBI etc. The revision work includes methodological improvement, incorporation of new datasources including latest survey data, weight updation etc. In order to improve the survey results, MoSPI has undertaken various steps like increase in sample size; modification of sampling design, survey instruments, survey periodicity etc. Periodic Labour Force Survey (PLFS), Household Consumption expenditure Survey (HCES) and Annual Survey of Unincorporated Sector Enterprises (ASUSE) results have been used for the Base year revision exercise. (b) & (c): The release of the new series of GDP, CPI and IIP is scheduled for 27th February 2026, 12th February 2026 and May 2026, respectively. Survey results are released from time to time. All releases are made available on the MoSPI website. (d) In addition to Technical Advisory Committee / Expert Group comprising of experts from Academia, Central and State Governments, RBI etc., MoSPI organized Consultative Workshops/Meetings on the Base Year Revision of GDP, IIP & CPI and surveys to solicit feedback and suggestions from the stakeholders and to ensure transparency, comparability and public confidence in official statistics. The feedback received from the users are incorporated in consultation with Technical Advisory Committee / Expert Groups. (e): The MoSPI, has taken several steps for accuracy and transparency of statistical data which inter alia, include: (i) Utilizing digital platforms, with in-built validation mechanism, in sample surveys conducted by MoSPI for data collection. This technological advancement has facilitated simultaneous processing of data and also resulted in a drastic reduction in time lag of release of reports. (ii) Placed Advance Release Calendar (ARC) of its statistical products on the ministry’s website (www.mospi.gov.in). (iii) In order to facilitate ease of Data Dissemination and Management, e- Sankhyiki portal has been launched. Unit level data of the surveys are also made available on MoSPI's website (www.mospi.gov.in) for access by various researchers, policymakers, etc. (iv) Regular dialogues with data users/stakeholders are also conducted in order to incorporate their feedback and enhance their understanding about the data being published by MoSPI. (v) Circulated a National Meta Data Structure (NMDS) among Ministries / Departments. The NDMS has been designed, inter alia, to provide clarity on the data sources, collection methods and enhance discoverability of datasets. *****

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