Food Insecurity Experience Scale 2019
Ukraine, 2019
Get MicrodataIdentification
UKR_2019_FIES_v01_M_v01_A_OCS
Food Insecurity Experience Scale 2019
| Name | Country code |
|---|---|
| Ukraine | UKR |
Socio-Economic/Monitoring Survey [hh/sems]
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 under the "DOCUMENTATION" tab above. Disaggregating results at sub-national level is not encouraged because estimates will suffer from substantial sampling and measurement error.
Sample survey data [ssd]
Individuals
Scope
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:
- You were worried you would not have enough food to eat?
- You were unable to eat healthy and nutritious food?
- You ate only a few kinds of foods?
- You had to skip a meal?
- You ate less than you thought you should?
- Your household ran out of food?
- You were hungry but did not eat?
- You went without eating for a whole day?
For datasets between 2014-2018 the computed variables have been updated. The 2014-2018 updated files have been added in their respective folders and can be merged with the original datasets using the key Random_ID.
| Topic |
|---|
| SDGs |
| Food Access |
Coverage
National coverage
Individuals of 15 years or older.
Producers and sponsors
| Name | Affiliation |
|---|---|
| FAO Statistics Division | FAO |
Sampling
The sample was drawn proportional to the population and the country was stratified by region and by population size strata.
Exclusions: Due to situation in the East of Ukraine, occupied and conflict areas in Donetsk and Lugansk oblasts were excluded. The excluded areas represent
approximately 9% of the population.
Design effect: 1.42
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.
Data collection
| Start | End |
|---|---|
| 2019-10-05 | 2019-11-14 |
Last 12 months.
- Face-to-face [f2f]
Data processing
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.
Data appraisal
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.
Data Access
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes | 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.
Disclaimer and copyrights
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.
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| FAO Statistics Division | FAO | Carlo.Cafiero@fao.org | http://www.fao.org/in-action/voices-of-the-hungry/fies/en/ |
Metadata production
DDI_UKR_2019_FIES_v01_M_v01_A_OCS
| Name | Affiliation | Role |
|---|---|---|
| Office of the Chief Statistician | FAO | Metadata |
| Development Economics Data Group | The World Bank | Metadata adapted for World Bank Microdata Library |
2022-11-21
Metadata version
Version 01 (November 2022): This metadata was downloaded from the FAO website (https://microdata.fao.org/index.php/catalog) and it is identical to FAO version (UKR_2019_FIES_v01_EN_M_v01_A_OCS). The following two metadata fields were edited - Document ID and Survey ID.