Exploring Spatial Clusters of Caesarean Sections across India
Insights from National Family Health Survey data — a spatial epidemiological analysis
By Arun Mitra in Reproductive Health Epidemiology Spatial Analysis Data Science
February 20, 2026
Background
Caesarean section rates in India have risen substantially, raising concerns about both under-provision in underserved populations and over-medicalisation in others. These rates are not uniform across the country, and understanding their geographic patterning is essential for targeted policy. The National Family Health Survey (NFHS) provides large, nationally representative data well suited to mapping where caesarean delivery is unusually common or uncommon. This study uses NFHS data and spatial analysis to identify geographic clusters of caesarean-section rates across India.
Approach
The analysis applies spatial epidemiological methods to NFHS-4 (2015-16) and NFHS-5 (2019-21) survey data in R. Caesarean-section prevalence was estimated at the district level, and spatial cluster detection was used to locate statistically significant high-prevalence (hotspot) and low-prevalence (coldspot) clusters across the country. The work was led by Arun Mitra with co-authors Durgesh Prasad Sahoo, N. Agarwal, Biju Soman, and Shreyas Patil.
What we found
- The national caesarean rate rose from 17.2% in NFHS-4 to 21.5% in NFHS-5.
- Caesarean-section rates show significant spatial clustering rather than a uniform national pattern (Global Moran’s I and Getis-Ord, p < 0.01), with distinct high- and low-prevalence geographic clusters across India.
- Zonal extremes (NFHS-5) ranged from the South zone highest (~39.5%) to the East zone lowest (~14.7%).
- State extremes ran from Telangana highest (~60.7%) to Nagaland lowest (~5.8%).
- A marked disparity was evident between public- and private-sector facilities.
Outputs & impact
The work is published in PLOS Global Public Health ( 10.1371/journal.pgph.0006070), with an earlier version available as a medRxiv preprint. By revealing where caesarean delivery is concentrated geographically, the analysis provides an evidence base for spatially targeted interventions addressing both under- and over-use of caesarean section.
- Posted on:
- February 20, 2026
- Length:
- 2 minute read, 273 words
- Categories:
- Reproductive Health Epidemiology Spatial Analysis Data Science