MLI_2021_EHCVM-2_v01_M
Enquête Harmonisée sur le Conditions de Vie des Ménages, 2021-2022
MLI EHCVM-2 2021-2022
Name | Country code |
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Mali | MLI |
Living Standards Measurement Study [hh/lsms]
The Mali EHCVM 2021/22 is the second edition of a nationally representative household survey conducted within the West Africa Economic Monetary Union (WAEMU) Household Survey harmonization Project (P153702) a joint program by the World Bank and the WAEMU Commision that aims at producing household survey data in member countries (Benin, Burkina Faso, Chad, Cote d’Ivoire, Guinea Bissau, Mali, Niger, Senegal and Togo). The survey covers all regions and includes approximately 6,600 households.
The Mali EHCVM 2021/22 is implemented by the National Institute of Statistics (INSTAT) with support from the World Bank and the WAEMU Commission. The objective of the program is to strengthen the capacity of its member countries (Benin, Burkina Faso, Cote d’Ivoire, Guinee Bissau, Mali, Niger, Senegal, and Togo) to conduct living conditions surveys that meet harmonized, regional standards and to make the collected micro-data publicly accessible. The EHCVM is a nationally representative survey of 6,600 households, which are also representative of the geopolitical zones (at both the urban and rural level).
The survey uses two main survey instruments: a household/individual questionnaire, and a community-level questionnaire. The surveys took place in two waves with each wave covering half of the sample. The first wave was fielded between October 2018 and December 2018, while the second wave occurred between April 2019 and July 2019. The two-wave approach was chosen to account for seasonality of consumption.
Sample survey data [ssd]
Household
Individual
Community
Version 01: Edited and anonymous data for public distribution.
The EHCVM 2021-2022 covered the following topics:
HOUSEHOLD
Household identification including geographic area identification information
Household roster
Education (all individuals 3 years old and older)
Health (past 30 days / three months recall / twelve months recall)
Employment
Non-employment income
Saving and credits
Food consumption (past 7 days / 30 days recall)
Food security
Nonfood consumption (past 7 days / 30 days / 3 months recall / 6 months recall)
Nonagricultural enterprises
Housing
Household’s assets
Transfers
Shocks and survival strategies (Including COVD-19 impact on households)
Safety nets
Agriculture
Livestock
Fishing
Agricultural equipment
Relative poverty
COMMUNITY
Community identification
Respondent characteristics
Community existence and accessibility of social services
Community agriculture
Community participation
Community food prices
National coverage
Name | Affiliation |
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Institut National de la Statistique (INSTAT) | Gouvernement du Mali |
Name | Role |
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WAEMU Commission | Collaborated in design, implementation and analysis |
World Bank Group | Collaborated in design, implementation and analysis |
Name | Role |
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World Bank Group | Funded the study |
The sampling frame for the 2018/2019 survey is based on the 2009 general population and housing census (RGPH). In 2021/2022, an enumeration was conducted in the same clusters. The Mali EHCVM 2018/19 utilized the sixth edition of the 2017/18 modular and permanent household survey (EMOP) as the sampling frame. This frame comes from the 2009 Census of Population and Housing (RGPH) and contains 1153 enumeration areas, is nationally representative, and covers all ten regions and the Bamako district. The survey collected data in rural and urban areas in all regions in each of the two waves, except Kidal, Bamako, Toaudénit, and Menaka. More specifically, during the first wave, the survey did not collect data in rural Kidal. Moreover, due to Bamako's purely urban nature, no rural area data are available for this district. Likewise, concerning Taoudenit and Menaka, the survey did not collect data for those regions during the first wave. In addition, there is no urban data for Taoudenit in wave 2.
In Mali, the survey design team implemented a 2-stage stratified sampling methodology - without replacement. At the first stage, 500 enumeration areas (EAs) were selected with Probability Proportional to Size (PPS) using the number of households as a measure of size. In the second stage, 12 households were selected in each enumeration area randomly. Furthermore, 51 additional EAs were selected from the sampling frame during the second wave to cover Menaka and Taoudenit as the wave 1 EAs did not contain those two regions.
In 2021/2022, the strategy is to revisit the same clusters. This involves either surveying the 12 households from 2018/2019 if they are found (after the enumeration phase), or surveying the found households and completing the sample to 12 in clusters where fewer households are found during the enumeration phase (either because there were fewer than 12 households in the final 2018/2019 database or because some households were not found).
The total estimated survey sample size was 6 708 households – 3528 from urban areas and 3180 from rural areas. After that, the survey design randomly divided each enumeration area into two equal groups. The survey team interrogated the first group in wave one and the other in wave 2. Finally, due to the household and EA replacement strategy put in place, the final sample size was very close to the expectations, with 2,732 and 3,411 households surveyed respectively in urban and rural areas. For the replacement of households, households within the EA replaced vacant/refusing households. These replacement households were assigned to agents by the field team leaders and came from the list of replacement households in the enumeration file. In practice, in each EA, 18 households were selected, including 12 households to be surveyed and six replacement households. Concerning the replacement of EAs, during the first wave, seven (07) EAs could not be surveyed due to insecurity (2 in Timbuktu and 5 in Mopti). These seven EAs were replaced by the EMOP EAs and surveyed in wave 2. The survey team made those replacements considering the area of residence of the EA. In terms of detailed actual surveys, the survey teams interviewed 1,352 households in urban areas and 1,479 households in rural areas during wave one. In wave two, the teams interviewed 1,380 households in urban areas and 1,932 households in rural areas.
The Mali ECHVM 2021/22 consists of two questionnaires for each of the two visits. The Household Questionnaires was administered to all households in the sample. The Community Questionnaire was administered to the community to collect information on the socio-economic indicators of the enumeration areas where the sample households reside.
EHCVM 2021/22 Household Questionnaire: The Households Questionnaire provides information on demographics; education; health; employment (including activity-related information, primary and secondary employments); nonjob revenues; saving and credit (including information for payments due for 15 years old members of the household); food consumption; food security; nonfood consumption; nonagricultural enterprises; housing; household’s assets; transfers (received and sent); shocks and survival strategies; safety nets; agriculture (including information on plots, costs of inputs, and crops); livestock; fishing; agricultural equipment; and a module that provides indicators to helps users situate the household on the poverty spectrum based on subjective considerations and comparative indicators.
EHCVM 2021/22 Community Questionnaire: The Community Questionnaire solicits information on general community’s characteristics; community access to infrastructure and to social services; community agricultural activity; community participation; and local retail price information.
Start | End | Cycle |
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2021-10 | 2021-12 | First visit |
2022-04 | 2022-07 | Second visit |
Interviews were conducted by teams of enumerators. Each team comprised three enumerators and a team lead. There were 551 enumerations areas for 199 enumerators, which means each enumerator covered on average 2.76 EAs.
Overall, six supervisors for each supervision mission were recruited. Two supervision missions were organized for each wave at the beginning and towards the end of the data collection process. The headquarters drafted a note on the supervision objectives and various errors to double check for each supervision wave. For control, the headquarters team, made up of young statisticians, was responsible for downloading the data sent to the server after each working day and checking consistency. Then, an automatic rejection program written on R allowed the detection of questionnaires to be examined more closely. Flawed questionnaires were therefore rejected with comments to the agents. In addition, team leaders were required to verify the data of their agents before sending it to the server
Name |
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World Bank |
Name | Affiliation |
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Institut National de la Statistique (INSTAT) | Gouvernement du Mali |
Confidentiality declaration text |
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Before being granted access to the dataset, all users have to formally agree: 1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the data depositor. 2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified on public use data files. 3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately brought to the attention of the data depositor. |
Use of the dataset must be acknowledged using a citation which would include:
Example:
Institut National de la Statistique (INSTAT) (Gouvernement du Mali ). Mali - Enquête Harmonisée sur le Conditions de Vie des Ménages, 2021-2022 (MLI EHCVM-2 2021-2022). Ref: MLI_2021_EHCVM-2_v01_M. Downloaded from [uri] on [date].
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.
Name | Affiliation | |
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Institut National de la Statistique (INSTAT) | Gouvernement du Mali | instatmali2014@yahoo.fr |
DDI_MLI_2021_EHCVM-2_v01_M_WB
Name | Abbreviation | Affiliation | Role |
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Development Data Group | DECDG | World Bank | Documentation of the study |
2024-08-02
Version 01 (2024-08-02)