National Household Income Survey (NHIS) and Annual Survey of Incorporated Service Sector Enterprises (ASISSE) on 28th and 29th January 2026 at Chennai

1. At a Glance

2. Why in the News

3. Background & Evolution

4. Core Static Facts

5. Multi-Dimensional Analysis

Economic - Direct income data will sharpen estimates of Gini coefficient, poverty lines, and tax base, ending reliance on NSS consumption proxies. [S2] - ASISSE plugs services into the GVA computation framework, critical since services contribute >50% of GDP. [S3]

Administrative / Governance - Use of GSTN as sampling frame marks a shift toward administrative-data-driven statistics, reducing list-frame errors. [S3] - CAPI deployment continues MoSPI's digitisation drive (post PLFS & HCES experience). [S2]

Social - Income data disaggregated by socio-economic groups will inform affirmative-action, caste/tribal welfare targeting, and gender wage-gap analysis. [S2]

Scientific / Statistical - TEG-led design under Surjit Bhalla brings academic peer review; pre-testing methodology aligns with UN SNA 2008 standards on household income measurement. [S2]

Federal - State-level ASISSE estimates will help State Finance Commissions and 15th/16th FC devolution logic; NSO–FOD's zonal/regional architecture executes a Union survey across all States/UTs. [S1][S3]

6. Recent Developments

7. Prelims Hooks

8. Mains Relevance

9. Related Topics to Study Next

10. Common Errors / Trap Areas

11. Sources