Determine the indicator's value by using the following methodology:
1) Conduct individual interviews with a representative sample of the target household representatives (ideally people responsible for preparing meals) assessing for how many days in the past 7 days the household has eaten any of the 16 pre-defined types of food. This is done by asking: "I would like to ask you about all the different foods that your household members have eaten in the last 7 days. During this period, for how many days in the past 7 days has your household eaten ... [name gradually all the 16 types of foods listed in WFP's FCS guidelines - access below].
2) Sum up all the consumption frequencies of the types of foods belonging to the same food groups (e.g. maize and rice belong to the same food group; however, people are asked separately about how many days they ate maize / rice for). There is a total of 9 groups, as listed in WFP's FCS guidelines. Recode the frequency value of each food group scoring more than 7 as 7 (e.g. if rice was consumed for 6 days and maize for 5 days (6 + 5 = 11), recode 11 as 7).
3) To create new weighted food group scores, multiply the value obtained for each food group by its "importance weight" specified in WFP's FCS guidelines.
4) By summing up the weighed food group scores, you calculate the Food Consumption Score (FCS) of each respondent.
5) According to the FCS's value, indicate the percentage of households with “poor” FCS (0-21 scores), “borderline” FCS (21.5 - 35 scores) and “acceptable” FCS (35.5 scores and above). However, these thresholds are not valid in all contexts - you might need to modify them based on the dietary patterns of the target population – read carefully WFP’s Guidance Sheet provided below and consult the Food Security Cluster in your country of operation.
6) To calculate the percentage of households with “acceptable” FCS, divide the number of households with FCS higher or equal to 35.5 scores by the total number of surveyed households. Multiply the result by 100 to convert it to percentages.