Data in Emergencies Monitoring Household Survey (DIEM) – Round 3, Mali, 2022
Mali, 2022
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Reference ID
MLI_2022_DEMHS-R3_v01_M_EN_v01_A_OCS
Producer(s)
Food and Agriculture Organization of the United Nations, Data in Emergencies Hub, World Food Programme
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Metadata
Created on
Oct 12, 2022
Last modified
Nov 16, 2022
Page views
6866
- Data files
- data_anon
What has been your household's main source of income in the past 3 months? (income_main)
Data file: data_anon
Overview
Valid:
1841
Type:
Discrete
Width:
101
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| Collection and sale of forestry or bush products | 9 |
0.5%
|
|
| Daily wage on farms and other casual employment in agricultural sector | 22 |
1.2%
|
|
| Formal agricultural trade excluding producers | 13 |
0.7%
|
|
| Income not derived from work, charity | 4 |
0.2%
|
|
| Income not derived from work, income from other rents | 5 |
0.3%
|
|
| Income not derived from work, remittances | 36 |
2%
|
|
| Income not derived from work, welfare transfer, pension, humanitarian aid | 69 |
3.7%
|
|
| Informal agricultural trade excluding producers | 30 |
1.6%
|
|
| No income source in the last 3 months and used exclusively debt | 30 |
1.6%
|
|
| No income source in the last 3 months and used exclusively savings | 25 |
1.4%
|
|
| Non-agricultural self-employed or liberal profession, doctor, architect, lawyer, including restaurant | 39 |
2.1%
|
|
| Off-farm daily wages and other non-agricultural casual employment | 101 |
5.5%
|
|
| Production and sale of cashcrops | 114 |
6.2%
|
|
| Production and sale of fish | 33 |
1.8%
|
|
| Production and sale of livestock and livestock products | 481 |
26.1%
|
|
| Production and sale of vegetable or fruit | 46 |
2.5%
|
|
| Production and sales of staple crops | 709 |
38.5%
|
|
| Public employment | 40 |
2.2%
|
|
| Refused | 1 |
0.1%
|
|
| Stable employment in agricultural sector | 1 |
0.1%
|
|
| Stable employment in non-agricultural sector | 33 |
1.8%
|
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.