CNNS
Comprehensive National Nutrition Survey 2016–18
CNNS is used to study child and adolescent nutrition, growth, and micronutrient deficiencies.
NHM / MoHFW · Ministry of Health & Family Welfare / UNICEF (CNNS)
India, state
2016–18
One major national round (2016–18)
What this is best for
Major child and adolescent nutrition and micronutrient evidence between NFHS waves
Main limitations
Not a continuous annual series; microdata access is more restricted than published reports; design differs from NFHS biomarkers
Quick answers
Short research-facing answers derived from this catalog record.
- What is CNNS 2016–18 used for?
- Major child and adolescent nutrition and micronutrient evidence between NFHS waves
- How do you access CNNS 2016–18 data?
- CNNS 2016–18 is labeled “Registration required” on this guide. Open the access portal or documentation links on the record for the current host process—do not assume open download if registration or a DUA is required.
- What geography and time does CNNS 2016–18 cover?
- Geography: India, state. Time coverage: 2016–18.
- What are the main limitations of CNNS 2016–18?
- Not a continuous annual series; microdata access is more restricted than published reports; design differs from NFHS biomarkers
Guides for using this data
Official portals, user guides, codebooks, and tutorials for access and analysis.
Variables5
NHM CNNS reports and biomarker documentation. Representative fields for the page table — verify the full dictionary on the official site.
Research and articles using this data
Verified examples that analyze, reuse, introduce, or visualize this dataset. Search matches without evidence are not published here.
Scholarly works7
- Journal articleAnalyzes dataSocio-economic inequality in anthropometric failure among children aged under 5 years in India: evidence from the Comprehensive National Nutrition Survey 2016–18
Akash Porwal, Rajib Acharya, Sana Ashraf · et al. · International Journal for Equity in Health · 2021
This work explicitly identifies CNNS 2016–18 as data used in its analysis.
- Journal articleAnalyzes dataPrevalence of Iron Deficiency and its Sociodemographic Patterning in Indian Children and Adolescents: Findings from the Comprehensive National Nutrition Survey 2016–18
Bharati Kulkarni, Rajini Peter, Santu Ghosh · et al. · Journal of Nutrition · 2021
This work explicitly identifies CNNS 2016–18 as data used in its analysis.
- Journal articleAnalyzes dataPrevalence of low serum zinc concentrations in Indian children and adolescents: findings from the Comprehensive National Nutrition Survey 2016–18
Raghu Pullakhandam, Praween Agrawal, Rajini Peter · et al. · American Journal of Clinical Nutrition · 2021
This work explicitly identifies CNNS 2016–18 as data used in its analysis.
- Journal articleAnalyzes dataAssociation of maternal height and body mass index with nutrition of children under 5 years of age in India: Evidence from Comprehensive National Nutrition Survey 2016-18.
Akash Porwal, Praween Agarwal, Sana Ashraf · et al. · PubMed · 2021
This work explicitly identifies CNNS 2016–18 as data used in its analysis.
- Journal articleAnalyzes dataChildhood Obesity and Essential Micronutrients: Insights from India’s Comprehensive National Nutrition Survey (2016–18)
Madhur Verma, Aditi Aditi, Nitin Kapoor · et al. · Diabetes Therapy · 2023
This work explicitly identifies CNNS 2016–18 as data used in its analysis.
- Journal articleAnalyzes dataPrevalence and determinants of anemia due to micronutrient deficiencies among children aged 12–59 months in India–Evidence from Comprehensive National Nutrition Survey, 2016–18
Kapil Yadav, Gomathi Ramaswamy, Surabhi Puri · et al. · PLOS Global Public Health · 2024
This work explicitly identifies CNNS 2016–18 as data used in its analysis.
- Working paperAnalyzes dataSocio-economic inequality in anthropometry failure in children under 5 years in India: Evidence from the Comprehensive National Nutrition Survey 2016–18
Akash Porwal, Rajib Acharya, Sana Ashraf · et al. · Research Square · 2021
This work explicitly identifies CNNS 2016–18 as data used in its analysis.
- Scholarly checked:
- 6 Sept 2026
- Web checked:
- Not checked yet
Pairs well with
Many Indian data problems need survey + administrative combinations.