Food Insecurity Experience Scale (FIES)
Democratic Republic of the Congo, 2020
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Reference ID
COD_2020_FIES_v01_EN_M_v01_A_OCS
Producer(s)
FAO Statistics Division
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Metadata
Created on
Jul 12, 2021
Last modified
Jul 12, 2021
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Identification
Survey ID Number
COD_2020_FIES_v01_EN_M_v01_A_OCS
Title
Food Insecurity Experience Scale (FIES)
Country
| Name | Country code |
|---|---|
| Democratic Republic of the Congo | COD |
Study type
Socio-Economic/Monitoring Survey [hh/sems]
Abstract
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 GeoPoll. 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.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Individuals
Scope
Notes
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? In addition to the FIES questions, socio-demographic information on the respondent/household including gender, age, urban or rural area, region, education, composition of the household was collected. The survey module was administered to respondents who answered on behalf of themselves (individually-referenced module). The questionnaire was translated into the main languages of each country.
Topics
| Topic |
|---|
| SDGs |
| Food Access |
Keywords
| Keyword |
|---|
| Food Insecurity |
| SDG |
Coverage
Geographic Coverage
National
Universe
Individuals of 15 years or older.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| FAO Statistics Division | FAO |
Sampling
Sampling Procedure
A Random Digit Dialling (RDD) approach was used to form a random sample of telephone numbers. Stratified phone numbers made available from telephone service providers or administrative registers were also used to integrate RDD when needed. Socio-demographic characteristics collected in the survey were then compared with the available information from recent national surveys to verify the extent to which the sample mirrored the total population structure. In case of discrepancies, post-stratification sampling weights were computed to adjust for the underrepresented populations, typically using sex and education level. Exclusions: NA Design effect: NA
Weighting
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
Dates of Data Collection
| Start | End |
|---|---|
| 2020-09-15 | 2020-11-15 |
Data Collection Mode
Computer Assisted Telephone Interview [CATI]
Data Processing
Data Editing
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
Estimates of Sampling Error
Not Available.
Data Appraisal
Since the population with access to mobile telephones is likely to differ from the rest of the population with respect to their access to food, post-hoc adjustments were made to control for the potential resulting bias. Post-stratification weights were built to adjust the sample distribution by gender and education of the respondent at admin-1 level, to match the same distribution in the total population. However, an additional step was needed to try to ascertain the food insecurity condition of those with access to phones compared to that of the total population. Using FIES data collected by FAO through the GWP between 2014 and 2019, and a variable on access to mobile telephones that was also in the dataset, it was possible to compare the prevalence of food insecurity at moderate or severe level, and severe level only, of respondents with access to a mobile phone to that of the total population at national level.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| FAO Statistics Division | FAO | [email protected] | Link |
Confidentiality
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.
Access conditions
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
Disclaimer
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.
Metadata production
DDI Document ID
DDI_COD_2020_FIES_v01_EN_M_v01_A_OCS_FAO
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Office of the Chief Statistician | OCS | FAO | Metadata producer |
DDI Document version
COD_2020_FIES_v01_EN_M_v01_A_OCS_v01