2.1.2 Prevalence of severe food insecurity in the adult population

2.1.2 Prevalence of severe food insecurity in the adult population

2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale (FIES)

2.1 By 2030, end hunger and ensure access by all people, in particular the poor and people in vulnerable situations, including infants, to safe, nutritious and sufficient food all year round

Goal 2. End hunger, achieve food security and improved nutrition and promote sustainable agriculture

The indicator measures the percentage of individuals in the population who have experienced food insecurity at moderate or severe levels during the reference period. The severity of food insecurity, defined as a latent trait, is measured on the Food Insecurity Experience Scale global reference scale, a measurement standard established by FAO through the application of the Food Insecurity Experience Scale in more than 140 countries worldwide, starting in 2014. Total refers to the entire population and data by sex to the population aged 15 and over.

Food insecurity as measured by this indicator refers to limited access to food, at the level of individuals or households, due to lack of money or other resources.

The severity of food insecurity is measured through the application of the Food Insecurity Experience Scale survey module (FIES-SM), a set of eight questions to the population aged 15 or more about experiences related to lack of access to food. The FIES methodology established by FAO provides a global measurement standard of food insecurity and permits the production of internationally comparable measures of food insecurity severity for individual respondents, as well as comparable national prevalence rates.

Data at the individual or household level is collected by applying an experience-based food security scale questionnaire within a survey.

Experience-based food security scales data are collected through population surveys (either household or individual surveys) using questionnaires/modules that are adapted to the country language and condition.

The food security survey module collects answers to questions asking respondents to report the occurrence of several typical experiences and conditions associated with food insecurity.

The data is analysed using the Rasch model (also known as one-parameter logistic model, 1-PL). Prob{Xi, j = YES} = exp (ai-bj) /( 1 + exp (aj-bj)).

Parameters ai and bj can be estimated using maximum likelihood procedures. Parameters, in particular, are interpreted as a measure of the severity of the food security condition for each respondent and are used to classify them into classes of food insecurity.

%

Gender

Republic of Serbia

FAO - The Food and Agriculture Organization

Annual

C020102

https://unstats.un.org/sdgs/metadata/files/Metadata-02-01-02.pdf