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With research staff from more than 60 countries, and offices across the globe, IFPRI provides research-based policy solutions to sustainably reduce poverty and end hunger and malnutrition in developing countries.

Vartika Singh

Vartika Singh is a Senior Research Analyst in the Natural Resources and Resilience Unit, based in New Delhi, and a Senior Research Officer at the Indian Institute of Management, Ahmedabad. She is currently a doctoral candidate at Humboldt University in Berlin and a guest researcher at the Potsdam Institute for Climate Impact Research (PIK) in Germany. Her research interest is in the nexus of food-water-energy and land. 

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IFPRI currently has more than 600 employees working in over 80 countries with a wide range of local, national, and international partners.

New Study: Status of Child Stunting in India

May 25, 2018


  • Stunting prevalence in India is high (38.4%) and varies considerably across districts (from 12.4% to 65.1%)
  • 239 of the 640 districts in India have stunting levels above 40% and 202 have prevalence of 30–40%
  • High‐stunting districts are heavily clustered in the north and centre of the country
  • Inter-district differences in stunting are strongly explained by a multitude of economic, health, hygiene, and demographic factors

Key findings

  • In a recent study IFPRI researchers carried out a granular district‐focused analysis of National Family Health Survey-IV district-level summary data, a first for India, and explained 71% of the observed differences in stunting prevalence between low and high burden districts
  • These comprise a multitude of economic, health, hygiene, and demographic factors, including differences in women’s low body mass index (19% of the difference), education (12%), children’s adequate diet (9%), assets (7%), open defecation (7%), age at marriage (7%), antenatal care (6%), and household size (5%)
  • These multifactorial determinants highlight the need for district-specific data for diagnostic assessments and call for a nationwide focus for stunting prevention, while addressing critical determinants district‐by‐district to reduce inequalities and prevalence of childhood stunting

Top 10 districts – lowest stunting rates
Ernakulam (KL)           12.4%
Pathanamthitta (KL)    13.3%
Kollam (KL)                 14.4%
Alappuzha (KL)           14.5%
Idukki (KL)                   15.1%
Cuttack (OR)               15.3%
Hyderabad (TG)          15.7%
Puri (OR)                     16.1%
South Garo Hills (ML) 16.8%
Kanniyakumari (TN)    17.2%

Bottom 10 districts – highest stunting rates
Bahraich (UP)                       65.1%
Shrawasti (UP)                     63.5%
Balrampur (UP)                    62.8%
Pashchimi Singhbhum (JH) 59.4%
Siddharthnagar (UP)            57.9%
Sitamarhi (BR)                      57.3%
Gonda (UP)                          56.9%
Sitapur (UP)                         56.4%
Koppal (KA)                          55.8%
Yadgir (KA)                           55.5%
 

Factors contributing to difference in stunting prevalence between very high‐burden & low-burden districts

  • Women’s low body mass index (BMI) – 19%
  • Women’s education – 12%
  • Children’s adequate diet – 9%
  • Assets – 7%
  • Open defecation – 7%
  • Age at marriage – 7%
  • Antenatal care (ANC) – 6%
  • Household (HH) size – 5%

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