The types of data that can be used by a NIPN

NIPN is unique in that it brings together and values multiple data sources shared by the various sectors that influence nutrition: health, agriculture, water, sanitation and hygiene, social protection, and education, among others.
Typical data that NIPN would use comes from:

• National population-based surveys (which can be representative at sub-national level)
  • Demographic and Health Surveys (DHS); Multiple Indicators Cluster Surveys (MICS); National Nutrition Surveys (NNS); Household Incomes and Expenditures Surveys (HIES); Health and Nutrition Expenditures Surveys (HNES); Services Availability and Readiness Assessment (SARA), etc.
• Local population-based surveys (representative of one district/region)
  • Nutrition Surveys (SMART); Household surveys; Intervention coverage surveys, etc.
• Programme data
  • Routine data collected by each sector
  • Monitoring data collected by each sector
• Early warning system data
• Financial data
  • Evaluation of budget needed (Nutrition Plan of Action)
  • Official commitments for financial investments
  • Budget allocation at central and sub-national levels
• Modelling data
  • Global initiatives using modelling techniques provide data at national and sub-national levels: NCD Risc (http://www.ncdrisc.org/index.html) or IHME for Africa (https://vizhub.healthdata.org/lbd/cgf#).

This list is not meant to be exhaustive. Each country should explore the wealth of information available. The data landscape exercise is useful for this purpose (see section 3.1).