Resilience Index Measurement and Analysis, Mali, 2014
Mali, 2014 - 2015
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MLI_2014_RIMA_v01_EN_M_v01_A_OCS
Resilience Index Measurement and Analysis, Mali, 2014
| Name | Country code |
|---|---|
| Mali | MLI |
Other Household Survey [hh/oth]
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.
Sample survey data [ssd]
Households
Scope
Coverage
Regional
Producers and sponsors
| Name | Affiliation |
|---|---|
| Food and Agriculture Organization | United Nations |
| Name | Role |
|---|---|
| Malian Association of Research Action for Development | Technical support |
Sampling
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.
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
Please refer to the Questionnaires for the value labels of the variables.
Data collection
| Start | End | Cycle |
|---|---|---|
| 2014-07 | 2014-11 | 1st data collection |
| 2014-12 | 2015-02 | 2nd data collection |
- Computer Assisted Personal Interview [capi]
Data processing
- 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
| 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.
FAO. Resilience Index Measurement and Analysis (RIMA), Mali, 2014 - 2015. Dataset downloaded from https://microdata.fao.org.
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 RIMA Team | Food and Agriculture Organization | [email protected] | http://www.fao.org/resilience/background/tools/rima/en/ |
Metadata production
DDI_MLI_2014_RIMA_v01_EN_M_v01_A_OCS_FAO
| Name | Affiliation | Role |
|---|---|---|
| Ellestina Jumbe | Food and Agriculture Organization | Metadata producer |
| Office of Chief Statistician | Food and Agriculture Organization | Metadata adapted for FAM |
Metadata version
MLI_2014_RIMA_v01_EN_M_v01_A_OCS