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|| **I****NDICATOR ****3:  Percentage of women (15-49 years) who consume at least 5 out of 10 defined food groups** ||
|| **Wh****y this indicator? What will it measure and provide information for?** \\ MDD-W is outcome focused and promoted by USAID and FAO. It is centered around dietary diversity and quality. Lack of dietary diversity is a crucial issue, particularly in the developing world. Diets often consist of starchy staples and there is limited access to nutrient-rich sources of food such as animal protein, fruits and vegetables. Women and children are particularly vulnerable to negative effects of such dietary constraints. This indicator tracks dietary diversity, a vital element of diet quality. This is done by measuring the consumption of a variety of foods across and within food groups as well as across different varieties of specific foods. Such measures will ensure adequate intake of essential nutrients and important non-nutrient factors. Research has demonstrated a strong association between dietary diversity and diet quality, and the nutritional status of children. This indicator complements the “Minimum Dietary Diversity” (MDD) indicator previously defined for infants and young children; see: WHO. 2008. Indicators for assessing infant and young child feeding Indicator should be linked to other household dietary diversity scores (HDDS) and can be used as a proxy to describe women’s diet quality (micronutrient adequacy) at national and sub-national levels. ||
|| **Wha****t Sustainable Development Goal is the indicator connected to?** \\ * SDG Goal 2.1 ||
|| **Definitions and key terms** \\ MDD-W is the acronym for “Minimum Dietary Diversity-Women.” MDD-W is a dichotomous indicator of whether or not women 15-49 years of age have consumed at least five out of ten defined food groups the previous day or night. ||
|| **Data and information required to calculate the indicator** \\ * Numerator: Number of surveyed women 15-49 years of age have consumed at least five out of ten defined food groups the previous day or night \\ * Denominator: Total number of children 6-23 months surveyed ||
|| **Su****gg****e****sted method for data collection** \\ * [[http://www.fao.org/3/a-i5486e.pdf|FAO, MDD-W measurement]] (for method)  \\ * [[http://whqlibdoc.who.int/publications/2008/9789241596664_eng.pdf|WHO]] (for definition)  ||
|| **Possible data sources** \\ * Household survey \\ * Demographic and Health Survey (DHS) is implemented every 5 years \\ * WHO regional or global nutritional data \\ * UNICEF regional and global nutritional data ||
|| **Resources needed for data collection** \\ The quantitative and qualitative data collection, storage and analysis should be conducted by CARE and partners. Partners may include research / university partners. Data collection needs to be included in the monitoring and evaluation plan and budgeted for. ||
|| **Reporting results for this indicator: number of people for which the change happened** \\ * Reporting Purpose: þBaseline þProgress þ Evaluation \\ * Changes in the quality of the diet of women 15-49 years of age ||
|| **Questions for guiding the analysis and interpretation of data (explaining the how and why the change** **happened, and how CARE contributed to the change)** \\ * Numerator: What is the number of women (15-49 years) living in the project area who consume at least 5 out of 10 defined food groups? \\ * Denominator: what is the number of women (15-49 years) living in the project area? \\ This indicator can help assess progress (success or failure) against food diversity activities targeting women 15-49 years of age. ||
|| **Other considerations** \\ * FGDs can provide qualitative verification, especially in regards to other external factors (insecurity, political instability, disasters, fail crops, diseases outbreak, market’s inflation, etc.) which could have affected food availability, access and utilization or hygiene, sanitation and health conditions. \\ * All data collection should be done during the same period of the year due to food access and availability issues in low income and developing countries which can compromise data quality. ||
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