Determine the indicator's value by using the following methodology:
1) Conduct individual interviews with a representative sample of the target household representatives assessing how many days in the past 7 days members of the household have eaten any of the foods from the 9 pre-defined food groups 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, how many days in the past 7 days has your household eaten ..." [gradually name all types of foods from each of the nine groups listed in WFP's FCS guidelines - access below]. The FCS questionnaire should be adapted for each unique setting so that common, local foods are included in each food category in the questionnaire. Data collectors should refer to the WFP guidance (above) to get ideas on how to adapt the questionnaire to the local context. The food groups, however, cannot be changed.
2) Sum up all the consumption frequencies of foods belonging to the same food groups (there is a total of 9 groups, as listed in WFP's FCS guidelines). Recode the frequency value of each food group above 7 as 7 (e.g. if the summed up frequency value is 10, recode it 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 the weighed food group scores you calculate the Food Consumption Score (FCS).
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) Calculate the percentage of households with “acceptable” FCS by dividing the number of households with FCS higher or equal to 35.5 scores by the total number of surveyed households and multiplying the result by 100.