DDI_GIN_2021_FIES_v01_EN_M_v01_A_OCS_FAO Office of the Chief Statistician <_value> NADA GIN_2021_FIES_v01_EN_M_v01_A_OCS_v01 Food Insecurity Experience Scale (FIES) FIES GIN_2021_FIES_v01_EN_M_v01_A_OCS FAO Statistics Division NADA FAO Statistics Division Socio-Economic/Monitoring Survey [hh/sems] Food Insecurity SDG SDGs Food Access Sustainable Development Goal (SDG) target 2.1 commits countries to end hunger, ensure access by all people to safe, nutritious and sufficient food all year around. Indicator 2.1.2, “Prevalence of moderate or severe food insecurity based on the Food Insecurity Experience Scale (FIES)”, provides internationally-comparable estimates of the proportion of the population facing difficulties in accessing food. More detailed background information is available at http://www.fao.org/in-action/voices-of-the-hungry/fies/en/ . The FIES-based indicators are compiled using the FIES survey module, containing 8 questions. Two indicators can be computed: 1. The proportion of the population experiencing moderate or severe food insecurity (SDG indicator 2.1.2), 2. The proportion of the population experiencing severe food insecurity. These data were collected by FAO through the Gallup World Poll. General information on the methodology can be found here: https://www.gallup.com/178667/gallup-world-poll-work.aspx. National institutions can also collect FIES data by including the FIES survey module in nationally representative surveys. Microdata can be used to calculate the indicator 2.1.2 at national level. Instructions for computing this indicator are described in the methodological document available in the documentations tab. Disaggregating results at sub-national level is not encouraged because estimates will suffer from substantial sampling and measurement error. Guinea National Individuals Individuals of 15 years or older with access to landline and/or mobile phones. Sample survey data [ssd] This dataset contains demographic variables related to number of adults and children in the household, age, education, area (urban/rural), gender, and income. Also, the FIES survey module includes the following questions to compute the FIES-based indicators: During the last 12 months, was there a time when, because of lack of money or other resources: 1. You were worried you would not have enough food to eat? 2. You were unable to eat healthy and nutritious food? 3. You ate only a few kinds of foods? 4. You had to skip a meal? 5. You ate less than you thought you should? 6. Your household ran out of food? 7. You were hungry but did not eat? 8. You went without eating for a whole day? Last 12 months. NA Exclusions: NA Design effect: 1.47 Computer Assisted Personal Interview [CAPI] The sample data was weighted to minimize bias in survey-based estimates. The weighting procedure was formulated based on the sample design and was carried out in multiple stages. A probability weight factor (base weight) was constructed to account for selection of telephone numbers from the respective frames and correct for unequal selection probabilities as a result of selecting one adult in landline households and for dual-users coming from both the landline and mobile frame. At the next step, the base weights were post-stratified to adjust for non-response and to match the weighted sample totals to known target population totals obtained from country level census data. 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. The margin of error is estimated as 3.8. 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. Micro datasets disseminated by FAO shall only be allowed for research and statistical purposes. Any user which requests access working for a commercial company will not be granted access to any micro dataset regardless of their specified purpose. Users requesting access to any datasets must agree to the following minimal conditions: - The micro dataset will only be used for statistical and/or research purposes; - Any results derived from the micro dataset will be used solely for reporting aggregated information, and not for any specific individual entities or data subjects; - 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 micro dataset cannot be re-disseminated by users or shared with anyone other than the individuals that are granted access to the micro dataset by 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. GIN_2021_FIES_v01_EN_M_v01_A_OCS This dataset contains the variables used to calculate the FIES-based indicator, deomographic variables and some derived variables calculated by FAO from the survey. 1000 23 Unique respondent identifier Unique respondent identifier Unique respondent identifier Unique respondent identifier Unique respondent identifier 1000 111129829 210872048 160801785.158 28869685.427 Worried you would not have enough food to eat because of a lack of money or other resources Worried you would not have enough food to eat because of a lack of money or other resources Worried you would not have enough food to eat because of a lack of money or other resources Worried you would not have enough food to eat because of a lack of money or other resources Worried you would not have enough food to eat because of a lack of money or other resources 999 1 No 1 Yes Sysmiss Unable to eat healthy and nutritious food because of a lack of money or other resources Unable to eat healthy and nutritious food because of a lack of money or other resources Unable to eat healthy and nutritious food because of a lack of money or other resources Unable to eat healthy and nutritious food because of a lack of money or other resources Unable to eat healthy and nutritious food because of a lack of money or other resources 996 4 No 1 Yes Sysmiss Ate only a few kinds of foods because of a lack of money or other resources Ate only a few kinds of foods because of a lack of money or other resources Ate only a few kinds of foods because of a lack of money or other resources Ate only a few kinds of foods because of a lack of money or other resources Ate only a few kinds of foods because of a lack of money or other resources 989 11 No 1 Yes Sysmiss Skipped a meal because there was not enough money or other resources to get food Skipped a meal because there was not enough money or other resources to get food Skipped a meal because there was not enough money or other resources to get food Skipped a meal because there was not enough money or other resources to get food Skipped a meal because there was not enough money or other resources to get food 991 9 No 1 Yes Sysmiss Ate less than you thought you should because of a lack of money or other resources Ate less than you thought you should because of a lack of money or other resources Ate less than you thought you should because of a lack of money or other resources Ate less than you thought you should because of a lack of money or other resources Ate less than you thought you should because of a lack of money or other resources 989 11 No 1 Yes Sysmiss Household ran out of food because of a lack of money or other resources Household ran out of food because of a lack of money or other resources Household ran out of food because of a lack of money or other resources Household ran out of food because of a lack of money or other resources Household ran out of food because of a lack of money or other resources 993 7 No 1 Yes Sysmiss Hungry but did not eat because there was not enough money or other resources for food? Hungry but did not eat because there was not enough money or other resources for food? Hungry but did not eat because there was not enough money or other resources for food? Hungry but did not eat because there was not enough money or other resources for food? Hungry but did not eat because there was not enough money or other resources for food? 993 7 No 1 Yes Sysmiss Went without eating for a whole day because of a lack of money or other resources? Went without eating for a whole day because of a lack of money or other resources? Went without eating for a whole day because of a lack of money or other resources? Went without eating for a whole day because of a lack of money or other resources? Went without eating for a whole day because of a lack of money or other resources? 995 5 No 1 Yes Sysmiss Post-stratification sampling weights Post-stratification sampling weights Post-stratification sampling weights Post-stratification sampling weights Post-stratification sampling weights 1000 0.27 2.86 1 0.687 Year when the study was administered in the country Year when the study was administered in the country Year when the study was administered in the country Year when the study was administered in the country Year when the study was administered in the country 1000 1 2021 Sysmiss Number of adults 15 years of age and above in household Number of adults 15 years of age and above in household Number of adults 15 years of age and above in household Number of adults 15 years of age and above in household Number of adults 15 years of age and above in household 997 3 01 01 02 02 03 03 04 04 05 05 06 06 07 07 08 08 09 09 10 10+ Sysmiss Number of children under 15 years of age in household Number of children under 15 years of age in household Number of children under 15 years of age in household Number of children under 15 years of age in household Number of children under 15 years of age in household 996 4 00 00 01 01 02 02 03 03 04 04 05 05 06 06 07 07 08 08 09 09 10 10+ Sysmiss Sum of Affirmative responses to FIES questions Sum of Affirmative responses to FIES questions Sum of Affirmative responses to FIES questions Sum of Affirmative responses to FIES questions Sum of Affirmative responses to FIES questions 1000 8 5.201 2.704 Estimated person parameters using the Rasch model Estimated person parameters using the Rasch model Estimated person parameters using the Rasch model Estimated person parameters using the Rasch model Estimated person parameters using the Rasch model 1000 -4.405 4.972 1.303 3.088 Estimated person parameter errors using the Rasch model Estimated person parameter errors using the Rasch model Estimated person parameter errors using the Rasch model Estimated person parameter errors using the Rasch model Estimated person parameter errors using the Rasch model 1000 1.092 2.165 1.64 0.435 Probability of being moderately or severely food insecure Probability of being moderately or severely food insecure Probability of being moderately or severely food insecure Probability of being moderately or severely food insecure Probability of being moderately or severely food insecure 1000 0.993 0.682 0.388 Probability of being severely food insecure Probability of being severely food insecure Probability of being severely food insecure Probability of being severely food insecure Probability of being severely food insecure 1000 0.924 0.442 0.393 Age of the respondent Age of the respondent Age of the respondent Age of the respondent Age of the respondent 1000 15 95 33.915 15.516 Education of the respondent Education of the respondent Education of the respondent Education of the respondent Education of the respondent 1000 1 Elementary_or_less 2 Secondary 3 College 4 Dont_know 5 Refused Sysmiss Area Area Area Area Area 1000 1 Urban/Suburbs 2 Towns/Rural 3 Dont_know 4 Refused Sysmiss Gender of the respondent Gender of the respondent Gender of the respondent Gender of the respondent Gender of the respondent 1000 1 Male 2 Female Sysmiss Income quintile Income quintile Income quintile Income quintile Income quintile 1000 1 Poorest_20% 2 Second_20% 3 Middle_20% 4 Fourth_20% 5 Richest_20% Sysmiss