India Policy Insights: Estimates of Population Health and Social Determinants Indicators Across Policy Units

  • Sunil Rajpal
  • , Soohyeon Ko
  • , George Leckie
  • , Devika Jain
  • , Jeffrey C. Blossom
  • , Rockli Kim*
  • , S. V. Subramanian*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Achieving global development targets will largely depend on improvements made by developing and populous countries like India. Given the huge population base and diversely wide landscape of India, stakeholders and policy-makers at smaller geographic levels must be equipped with data to understand their respective territories and the target sub-groups. This paper presents the output of India Policy Insights; a project aimed at offering a comprehensive dataset of 122 key indicators on population health and social determinants across 720 districts and 543 Parliamentary Constituencies (PCs) in India. Drawing upon the household survey data from two rounds (2016 and 2021) of National Family Health Surveys along with other government-backed repositories, we provide district- and PC-specific prevalence estimates (%), progress in the prevalence (percentage points) for 122 indicators, and indicator-specific headcount numbers (for 2021). These data enable the tracking of developmental progress in India and, in doing so, will facilitate informed policy discussions and promote public engagement.

Original languageEnglish
Article number1592
JournalScientific data
Volume12
Issue number1
DOIs
Publication statusPublished - 2025 Dec

Bibliographical note

Publisher Copyright:
© The Author(s) 2025.

ASJC Scopus subject areas

  • Statistics and Probability
  • Information Systems
  • Education
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences

Fingerprint

Dive into the research topics of 'India Policy Insights: Estimates of Population Health and Social Determinants Indicators Across Policy Units'. Together they form a unique fingerprint.

Cite this