DDI_GBR_2024_FIES_v01_M_v01_A_ESS_FAO GBR_2024_FIES_v01_M_v01_A_ESS Statistics Division <_value> NADA Food Insecurity Experience Scale (FIES) FIES GBR_2024_FIES_v01_M_v01_A_ESS Food and Agriculture Organization of the United Nations MetadataEditor Food and Agriculture Organization of the United Nations, Statistics Division Socio-Economic/Monitoring Survey [hh/sems] Food Insecurity Experience Scale FIES Sustainable Development Goals SDG Zero Hunger End Hunger SDG Indicator 2.1.2 SDGs Food Access United Kingdom of Great Britain and Northern Ireland National Sample survey data [ssd] Last 12 months. Computer-Assisted Telephone Interviewing [CATI] The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO. GBR_2024_FIES_v01_M_v01_A_ESS This dataset contains the variables used to calculate the FIES-based indicator, demographic variables and some derived variables calculated by FAO from the survey. 1000 24 Unique respondent identifier 1000 111368354 210823983 162526772.175 29852663.356 Worried you would not have enough food to eat because of a lack of money or other resources 1000 No 1 Yes Sysmiss Unable to eat healthy and nutritious food because of a lack of money or other resources 1000 No 1 Yes Sysmiss Ate only a few kinds of foods because of a lack of money or other resources 999 1 No 1 Yes Sysmiss Skipped a meal because there was not enough money or other resources to get food 1000 No 1 Yes Sysmiss Ate less than you thought you should because of a lack of money or other resources 1000 No 1 Yes Sysmiss Household ran out of food because of a lack of money or other resources 1000 No 1 Yes Sysmiss Hungry but did not eat because there was not enough money or other resources for food? 1000 No 1 Yes Sysmiss Went without eating for a whole day because of a lack of money or other resources? 1000 No 1 Yes Sysmiss Post-stratification sampling weights 1000 0.309 3.898 1 0.672 Year when the GWP was administered in the country 1000 2024 2024 2024 Number of adults 15 years of age and above in household 996 4 01 01 02 02 03 03 04 04 05 05 06 06 Sysmiss Number of children under 15 years of age in household 998 2 00 00 01 01 02 02 03 03 04 04 Sysmiss Sum of Affirmative responses to FIES questions 999 1 8 0.473 1.354 Estimated person parameters using the Rasch model 999 1 -7.208 7.826 -6.296 2.519 Estimated person parameter errors using the Rasch model 999 1 1.904 3.893 3.653 0.564 Probability of being moderately or severely food insecure 999 1 0.982 0.052 0.181 Probability of being severely food insecure 999 1 0.937 0.029 0.139 Age of the respondent 1000 16 100 53.326 17.169 Education of the respondent 995 5 1 Elementary_or_less 2 Secondary 3 College Sysmiss Area 999 1 1 Urban/Suburbs 2 Towns/Rural Sysmiss Gender of the respondent 1000 1 Male 2 Female Sysmiss Income quintile 1000 1 Poorest_20% 2 Second_20% 3 Middle_20% 4 Fourth_20% 5 Richest_20% Sysmiss Degree of Urbanisation 1000 1 Rural areas 2 Towns and semi-dense areas 3 Cities 4 Not available Sysmiss