Resilience Index Measurement and Analysis 2014

Mali, 2014 - 2015

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Reference ID

MLI_2014_RIMA_v01_M_v01_A_OCS

Producer(s)

Food and Agriculture Organization

Collection(s)

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

Metadata

Documentation in PDF DDI/XML JSON

Study website

Created on

Feb 06, 2023

Last modified

Feb 06, 2023

Page views

6468

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234

Identification

Survey ID number

MLI_2014_RIMA_v01_M_v01_A_OCS

Title

Resilience Index Measurement and Analysis 2014

Country/Economy

Name	Country code
Mali	MLI

Study type

Other Household Survey [hh/oth]

Abstract

Mali is a Sahelian country, landlocked and structurally vulnerable to food insecurity and malnutrition. The economy is heavily dependent on the primary sector: agriculture, livestock, fishing and forestry account for 68.0% of the active population1 . This sector is itself dependent on exogenous factors, mainly climatic, such as recurrent droughts. In 2018, the prevalence of food insecurity at the national level was 19.1%, of which 2.6% was severely food insecure. The most affected regions were Kidal, Gao, Timbuktu, Mopti and Kayes. The Global Food Crisis Network Partnership Programme baseline studies are designed to feed into the overall monitoring, evaluation, accountability and learning programme of each project. In this regard, the baseline study has short, medium and long-term objectives.

Kind of Data

Sample survey data [ssd]

Unit of Analysis

Households

Scope

Keywords

Agriculture Demographic characteristics Health Employment Income Shocks Food expenditure and consumption Food security Livestock Social services Community needs Prices

Coverage

Geographic Coverage

Regional coverage

Producers and sponsors

Primary investigators

Name	Affiliation
Food and Agriculture Organization	United Nations

Producers

Name	Role
Malian Association of Research Action for Development	Technical support

Sampling

Sampling Procedure

The EAC-I 2014 has been designed to have national coverage, including both urban and rural areas in all the regions of the country except Kidal. The domains were defined as the entire country, district of Bamako, other urban areas, and rural areas; and in the rural areas: agricultural zones, agro-pastoral zones and pastoral zones. Taking this into account, 51 explicit sample strata were selected. The target population was drawn from households in all regions of Mali except Kidal which was not accessible for security reasons. Kidal also has very low population density.The sample was chosen through a random two stage process: - In the first stage, 1070 enumeration areas (EAs) were selected with Probability Proportional to Size (PPS) using the 2009 Census of Population as the base for the sample, and the number of households as a measure of size. - In the second stage o 3 households were selected with equal probability in each of the rural EAs o 9 households were selected with equal probability in each of the urban EAs The total estimated size of the sample for the survey was 4,218.

Weighting

In order to produce nationally representative statistics with the data weights or expansion factors need to be applied. These survey weights adjust for differences in the probability of selection within the sample. To accurately use the datasets, the data must be weighted to reflect the distribution of the full population in the country. A population weight was calculated for the households in the sample. It is found in the file named EACIPOIDS.dta.

Survey instrument

Questionnaires

Please refer to the Questionnaires for the value labels of the variables.

Data collection

Dates of Data Collection

Start	End	Cycle
2014-07	2014-11	1st data collection
2014-12	2015-02	2nd data collection

Mode of data collection

Computer Assisted Personal Interview [capi]

Data processing

Data Editing

Data Entry & Data cleaning Data entry was performed at the CPS/SDR using a CSPro application designed by an international consultant recruited by the LSMS team. The data entry program allows three types of data checks: (1) range checks; (2) intra-record check to verify inconsistencies pertinent to the particular module of the questionnaire; and (3) inter-record checks to determine inconsistencies pertinent between the different modules of the questionnaire. Data entry for the first visit was done from August 11th, 2014 to November 30th, 2014 and, from February 9th 2015 to March 27th, 2015 for the second visit. Data cleaning was done from May 2015 to July 2015. Data cleaning was done in a CSPro application. The data cleaning focused on more intra-record and inter-record checks.

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 RIMA Team	Food and Agriculture Organization	fao-rima@fao.org	http://www.fao.org/resilience/background/tools/rima/en/

Metadata production

DDI Document ID

DDI_MLI_2014_RIMA_v01_M_v01_A_OCS

Producers

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

Date of Metadata Production

2023-01-31

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 (MLI_2014_RIMA_v01_EN_M_v01_A_OCS). The following two metadata fields were edited - Document ID and Survey ID.

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