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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.

Liangzhi You

Liangzhi You is a Senior Research Fellow and theme leader in the Foresight and Policy Modeling Unit, based in Washington, DC. His research focuses on climate resilience, spatial data and analytics, agroecosystems, and agricultural science policy. Gridded crop production data of the world (SPAM) and the agricultural technology evaluation model (DREAM) are among his research contributions. 

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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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