Hunger Experience *
English: % of targeted households whose members had to go to sleep at night hungry in the past 4 weeks because there was not enough food
French: % de ménages cibles dont les membres ont dû aller dormir la nuit affamés au cours des quatre semaines précédentes parce qu’il n’y avait pas suffisamment à manger
Czech: % domácností, jejichž členové museli v uplynulých 4 týdnech kvůli nedostatku jídla jít spát s pocitem hladu
What is its purpose?
The indicator measures the proportion of households whose members went to sleep at night hungry in the past four weeks. The survey question used for this indicator was taken from the Household Food Insecurity Access Scale (HFIAS) survey methodology to provide a simplified – though significantly less comprehensive – way of measuring food insecurity.
How to Collect and Analyse the Required Data
Collect the following data by conducting individual interviews with a representative sample of the target group members:
RECOMMENDED SURVEY QUESTION (Q) AND POSSIBLE ANSWERS (A)
Q1: In the past four weeks, did you or any other household member go to sleep at night hungry because there was not enough food?
A1: yes / no / does not remember
(the following question is recommended but not mandatory)
Q2: How often did this happen?
1) rarely (once or twice in the past four weeks)
2) sometimes (three to ten times in the past four weeks)
3) often (more than ten times in the past four weeks)
To calculate the indicator’s value, divide the number of respondents who (or whose household members) went to sleep at night hungry in the past four weeks by the total number of respondents (exclude those who did not remember) and multiply the result by 100.
1) The data required for this indicator is prone to significant seasonal variations. Do your best to collect baseline and endline data in the same period of a year (e.g. two months before the expected harvest); otherwise it is very likely that they will not be comparable.
2) The indicator is based on one of the nine occurrence questions used by the Household Food Insecurity Access Scale (HFIAS). If your resources allow, using the full HFIAS will provide you with more precise and complex data.
3) Disaggregate the data by wealth.