GEO_2014_FIES_v01_EN_M_v01_A_OCS DDI_GEO_2014_FIES_v01_M_v01_A_OCS Office of the Chief Statistician Nesstar Publisher Version 01 (September 2019). This survey documentation (DDI) is identical to the DDI published in the FAO microdata catalog except for the Document ID and Study ID. Food Insecurity Experience Scale 2014 FIES 2014 GEO_2014_FIES_v01_M_v01_A_OCS FAO Statistics Division Nesstar Publisher FAO Statistics Division Socio-Economic/Monitoring Survey [hh/sems] Food Insecurity SDG SDGs Food Access Georgia National Individuals Individuals of 15 years or older. Sample survey data [ssd] Last 12 months. Face-to-face [f2f] Post-stratification weights are provided. Population statistics are used to weight the data by gender, age, and, where reliable data are available, education or socioeconomic status. Statistical validation assesses the quality of the FIES data collected by testing their consistency with the assumptions of the Rasch model. This analysis involves the interpretation of several statistics that reveal 1) items that do not perform well in a given context, 2) cases with highly erratic response patterns, 3) pairs of items that may be redundant, and 4) the proportion of total variance in the population that is accounted for by the measurement model. As part of the statistical disclosure control process, values for number of children and number of adults that were 10 or above, were recoded as "10+" and categories for area were combined into "urban/suburbs" and "towns/rural". The margin of error is estimated as 3.6 .This is calculated around a proportion at the 95% confidence level. The maximum margin of error was calculated assuming a reported percentage of 50% and takes into account the design effect. 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. The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. GEO_2014_FIES_v01_EN_M_v01_A_OCS.NSDstat This dataset contains the variables used to calculate the FIES-based indicator, demographic variables and some derived variables calculated by FAO from the survey. 0 23 Nesstar 200801 Unique respondent identifier 0 0 Worried you would not have enough food to eat because of a lack of money or other resources 0 0 0 No 1 Yes Unable to eat healthy and nutritious food because of a lack of money or other resources 0 0 0 No 1 Yes Ate only a few kinds of foods because of a lack of money or other resources 0 0 0 No 1 Yes Skipped a meal because there was not enough money or other resources to get food 0 0 0 No 1 Yes Ate less than you thought you should because of a lack of money or other resources 0 0 0 No 1 Yes Household ran out of food because of a lack of money or other resources 0 0 0 No 1 Yes Hungry but did not eat because there was not enough money or other resources for food? 0 0 0 No 1 Yes Went without eating for a whole day because of a lack of money or other resources? 0 0 0 No 1 Yes Post-stratification sampling weights 0 0 Year when the GWP was administered in the country 0 0 1 2014 Number of adults 15 years of age and above in household 0 0 01 01 02 02 03 03 04 04 05 05 06 06 07 07 08 08 10 10+ Number of children under 15 years of age in household 0 0 00 00 01 01 02 02 03 03 04 04 05 05 Sum of Affirmative responses to FIES questions 0 0 Estimated person parameters using the Rasch model 0 0 Estimated person parameter errors using the Rasch model 0 0 Probability of being moderately or severely food insecure 0 0 Probability of being severely food insecure 0 0 Age of the respondent 0 0 Education of the respondent 0 0 1 Elementary_or_less 2 Secondary 3 College 4 Dont_know 5 Refused Area 0 0 1 Urban/Suburbs 2 Towns/Rural 3 Dont_know 4 Refused Gender of the respondent 0 0 1 Male 2 Female Income quintile 0 0 1 Poorest_20% 2 Second_20% 3 Middle_20% 4 Fourth_20% 5 Richest_20%