Visualizing Child Undernutrition across Assembly Constituencies in India

This interactive dashboard provides first ever micro-level health metrics across India’s 4,000 Assembly Constituencies (ACs). The Members of the Legislative Assembly elected by the ACs are responsible for designing and overseeing new policy initiatives. Linking GPS data from the 2016 Indian Demographic and Health Survey (NFHS-4) with existing boundary files for India’s ACs, we extrapolated health data for over 200,000 children under five, estimating the prevalence of four key indicators for undernutrition: stunting, underweight, wasting, and anemia. 

Precision monitoring of these four indicators at the AC level could fundamentally impact the design of nutrition policy and enable greater transparency and accountability. This new tool provides an immediately practical context for monitoring progress, and helps to bridge a crucial information gap for policymakers and constituents working to improve the prosperity and well-being of India’s children. 

“In line with the ideals of India’s Constitution, this research will…help public representatives at the middle and primary levels of governance lead united efforts in their constituencies to raise the nutritional status of children and women.”
—Dr. Rajiv Kumar, Vice Chairman of NITI Aayog

Geographic Visualization

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Methodology

Data Sources

The four datasets that were used are:​​​​​​

  1. NFHS-4 surveys for India: https://www.dhsprogram.com/data/dataset/India_Standard-DHS_2015.cfm
  2. Geo-clusters from NFHS-4 surveys: https://www.dhsprogram.com/data/dataset/India_Standard-DHS_2015.cfm
  3. AC Boundary Polygons from Datameet: http://projects.datameet.org/maps/assembly-constituencies/
  4. The data on the names for the AC Representatives (Member of Legislative Assembly) was taken from: https://lokdhaba.ashoka.edu.in/

Methodology

The methodolgy that was used to process the data can be found in detail in the paper linked here: https://doi.org/10.1001/jamanetworkopen.2021.29416 and is also summarized in the following image below:

AC SUW Method

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JAMA Paper Image