National Statistics Office (NSO): Model-Based District-Level Estimates Study for Uttar Pradesh (2025)

 

National Statistics Office (NSO): Model-Based District-Level Estimates Study for Uttar Pradesh (2025)

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🏛️ About the National Statistics Office (NSO)

Feature	Details
Full Form	National Statistics Office
Parent Ministry	Ministry of Statistics and Programme Implementation (MoSPI)
Formed Through	Merger of Central Statistical Office (CSO) and National Sample Survey Office (NSSO) in 2019
Main Function	Collection, analysis, and dissemination of statistical data related to social, economic, industrial, and environmental sectors
Objective	To support evidence-based policymaking through reliable statistical data
Major Activities	Conducts National Sample Surveys, Consumer Expenditure Surveys, Employment-Unemployment Surveys, and Annual Survey of Industries

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📊 About the Study

The NSO, under MoSPI, has conducted a study titled

“Model-based District-Level Estimates based on the Household Consumption Expenditure Survey (HCES) 2022–23” for Uttar Pradesh.

The report was released in November 2025 and is available on MoSPI’s website.

📎 Report Link: MoSPI Official PDF

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🧠 Background

• The National Statistical Commission (NSC), through its Steering Committee for the National Sample Survey (NSS), recommended a pilot study to test model-based district-level estimates.

• A committee under Dr. Mausumi Bose (Former Professor, ISI Kolkata) was formed to develop these estimates using Household Consumption Expenditure Survey (HCES) 2022–23 data.

• Technical support was provided by NSO and Directorate of Economics & Statistics (DES), Government of Uttar Pradesh.

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🎯 Need for the Study

• Existing surveys like HCES provide reliable estimates at national and state levels, but district-level data is often statistically weak due to small sample sizes.

• District-level statistics are crucial for:

  • Local planning and decentralized governance

  • Monitoring welfare schemes

  • Evaluating socio-economic inequalities

• Hence, a model-based approach was explored to fill these data gaps efficiently and accurately.

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⚙️ Objective

To generate district-level estimates of Monthly Per Capita Consumption Expenditure (MPCE) for all districts of Uttar Pradesh using a model-based statistical approach, supplementing direct survey results.

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🔬 Methodology

The study adopted the Small Area Estimation (SAE) approach — a statistical technique that:

• Combines survey data with auxiliary data (from administrative sources).

• Produces reliable estimates even for areas with small or limited sample data.

• “Borrows strength” from correlated data to improve precision.

Two models were applied:

1. Fay–Herriot (FH) Model

2. Spatial Fay–Herriot (SFH) Model

Auxiliary data sources used:

• Number of old-age pension beneficiaries

• Ayushman Bharat (PM-JAY) patient count

• Number of domestic LPG connections

• Beneficiaries under Antyodaya Anna Yojana

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📈 Key Findings

• Top 5 Rural Districts by MPCE:
  Bagpat, Saharanpur, Gautam Buddha Nagar, Meerut, Ghaziabad

• Top 5 Urban Districts by MPCE:
  Gautam Buddha Nagar, Gonda, Ghaziabad, Bagpat, Lucknow

• Demonstrated that model-based estimation is a cost-effective and scalable approach to generate reliable district-level data.

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💡 Significance of the Study

• Enhances data-driven local planning and targeted policymaking.

• Provides granular (district-level) statistics for welfare programme monitoring.

• Paves the way for state-wide and national replication across other indicators like:

  • Poverty

  • Employment

  • Health and Nutrition

• Strengthens evidence-based governance and SDG (Sustainable Development Goals) monitoring.

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📘 UPSC Relevance (Prelims 2026)

Topic	Importance
Government Bodies	NSO, MoSPI, NSC — their structure and functions are part of Indian Economy & Governance.
Surveys	Household Consumption Expenditure Survey (HCES) — key for understanding consumption, inequality, and poverty trends.
Statistical Techniques	Small Area Estimation (SAE) and Fay–Herriot models — part of data governance and social statistics.
Current Affairs	Latest data innovation by government agencies.
Schemes & Planning	Use of data for local-level planning and welfare monitoring.

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🧾 Quick Revision Table

Parameter	Details
Conducted by	NSO (under MoSPI)
Survey Used	Household Consumption Expenditure Survey (HCES) 2022–23
Pilot State	Uttar Pradesh
Purpose	Develop model-based district-level MPCE estimates
Statistical Method	Small Area Estimation (Fay–Herriot, Spatial FH)
Top Rural Districts (MPCE)	Bagpat, Saharanpur, Gautam Buddha Nagar, Meerut, Ghaziabad
Top Urban Districts (MPCE)	Gautam Buddha Nagar, Gonda, Ghaziabad, Bagpat, Lucknow
Auxiliary Data Sources	PM-JAY, LPG, Pension, Antyodaya schemes
Implemented by	NSO & DES, Government of UP
Guided by	National Statistical Commission (NSC)

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📌 Takeaway for Aspirants

• The NSO’s model-based estimation project represents a major shift in India’s statistical system — moving from large, infrequent surveys to real-time, model-supported data.

• It aligns with UPSC syllabus under:

  • Indian Economy and Social Development

  • Governance and Data-based Decision Making

  • Current Affairs – MoSPI, NSO, and NSSO initiatives.