Food Insecurity Experience Scale 2020

Cameroon, 2020

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Reference ID

CMR_2020_FIES_v01_M_v01_A_OCS

Producer(s)

FAO Statistics Division

Collection(s)

FAO - Food and Agriculture Microdata Catalog Fragility, Conflict and Violence

Metadata

Documentation in PDF DDI/XML JSON

Study website

Created on

Jan 23, 2023

Last modified

Jan 23, 2023

Page views

1007

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Identification

Survey ID number

CMR_2020_FIES_v01_M_v01_A_OCS

Title

Food Insecurity Experience Scale 2020

Country/Economy

Name	Country code
Cameroon	CMR

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 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.

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;

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?

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.

Topics

Topic
SDGs
Food Access

Keywords

Food Insecurity SDG

Coverage

Geographic Coverage

National coverage

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 under-represented 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

Time Method

Last 12 months.

Mode of data collection

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.

Data Access

Confidentiality

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.

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.

Contacts

Name	Affiliation	Email	URL
FAO Statistics Division	FAO	Carlo.Cafiero@fao.org	http://www.fao.org/in-action/voices-of-the-hungry/fies/en/

Metadata production

DDI Document ID

DDI_CMR_2020_FIES_v01_M_v01_A_OCS

Producers

Name	Affiliation	Role
Office of Chief Statistician	Food and Agriculture Organization	Metadata producer
Development Economics Data Group	The World Bank	Metadata adapted for World Bank Microdata Library

Date of Metadata Production

2023-01-23

Metadata version

DDI Document version

Version 01 (January 2023): This metadata was downloaded from the FAO website (https://microdata.fao.org/index.php/catalog) and it is identical to FAO version (CMR_2020_FIES_v01_EN_M_v01_A_OCS). The following two metadata fields were edited - Document ID and Survey ID.

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