Archive · 7 Aug 2026
India's Administrative Data Can Reshape Evidence-Based Policymaking
Sometimes the government of India wants to know how people live, so it asks thousands of families questions about jobs, health and school.
That is called a survey, and it gives very useful answers.
But surveys take a long time to finish, and by then things may have changed.
Today, computers also save small facts when people pay with their phones, send tax forms, or go to the hospital.
These saved facts are called administrative data.
Smart leaders say we should use both the surveys and the administrative data together.
The surveys can show things like how happy families are or the work people do without pay.
The administrative data can show what is happening in the country much faster, like during the Covid-19 sick days when it helped deliver food and vaccines.
When we connect the information carefully and keep it safe, leaders can make better decisions for everyone.
India's household surveys, such as the NFHS and PLFS, remain the backbone of evidence-based policy but publish slowly, while digital administrative records offer timeliness and scale.
MoSPI describes administrative data as a by-product of routine processes, arguing it should complement rather than replace surveys.
High-frequency indicators—electricity consumption, GST collections, e-way bills, PMI indices, railway freight and more—let policymakers monitor economic activity in near real time.
The Covid-19 pandemic showed the value of administrative data, with CoWIN dashboards and Pradhan Mantri Garib Kalyan Yojana beneficiary databases enabling rapid aid delivery.
Fragmentation persists, as education, welfare, labour and health databases use incompatible formats, while MoSPI efforts like the National Metadata Structure aim to improve interoperability.
- Who
- India's Ministry of Statistics and Programme Implementation (MoSPI) and an Embark India Development Fellow writing in a personal capacity.
- What
- Argues that administrative data generated by digital transactions should complement, not replace, traditional surveys to enable real-time, evidence-based policymaking.
- When
- Not specified; the analysis reflects ongoing MoSPI efforts and references the Covid-19 pandemic as a recent example.
- Where
- India, with Estonia's X-Road platform cited as an international model.
- Why
- Because surveys are slow and were disrupted during the pandemic, while administrative data offers timeliness, scale and operational detail.
- Core argument
- Administrative data should complement, not replace, traditional surveys
- Administrative data sources
- UPI transactions, GST returns, welfare payments, school enrolments, hospital registrations
- Key surveys
- National Family Health Survey (NFHS), Periodic Labour Force Survey (PLFS)
- Digital foundations
- Jan Dhan-Aadhaar-Mobile (JAM) architecture; platforms include GSTN and UPI
- High-frequency indicators
- Electricity consumption, IIP, GST collections, e-way bills, PMI indices, railway freight, air traffic, bank credit, port cargo, exports and imports
- Pandemic example
- CoWIN vaccination dashboards and rapid food grain and cash delivery under Pradhan Mantri Garib Kalyan Yojana
- Challenges
- Fragmented databases, incompatible formats, and coverage gaps for the informal workforce and healthcare needs
- MoSPI efforts and models
- National Metadata Structure (NMDS), data governance guidelines; Estonia's X-Road cited as a model