COVID-19 Panel Phone Survey of Households, 2020
Mali, 2020
Get Microdata
Reference ID
MLI_2020_CPPSH_v01_EN_M_v01_A_OCS
Producer(s)
National Institute of Statistics (INSTAT)
Collections
Metadata
Created on
Feb 05, 2021
Last modified
Nov 08, 2022
Page views
47978
Downloads
210
- Data files
- round1_s01_membres_du_menage.dta
- round1_s02_connaissances_covid.dta
- round1_s03_comportements_covid.dta
- round1_s04_acces_covid.dta
- round1_s05_emploi_revenu_covid_as.dta
- round1_s06_insecu_alim.dta
- round1_s06_prix_securite_alimentaire.dta
- round1_s07_autres_impacts.dta
- round1_s08_perte_revenu.dta
- round1_s09_chocs.dta
- round1_s09_chocs_menage.dta
- round1_s10_filet_menage.dta
- round1_s10_filets_securite.dta
- round2_covid_19_mali.dta
- round2_s01_membres_du_menage.dta
- round2_s02_connaissances_covid.dta
- round2_s03_comportements_covid.dta
- round2_s04_acces_covid.dta
- round2_s05_emploi_revenu_covid.dta
- round2_s06_insecu_alim.dta
- round2_s06_prix_securite_alimentaire.dta
- round2_s08_perte_revenu.dta
- round2_s11_fragilite.dta
- round3_s01_membres_menage.dta
- round3_s02_connaissances_covid.dta
- round3_s03_comportements_covid.dta
- round3_s04_acces_covid.dta
- round3_s04_services_sante.dta
- round3_s05_emploi_revenu_covid.dta
- round3_s06_insecu_alim.dta
- round3_s08_perte_revenu.dta
- round4_s1b_caracteristiques_menage.dta
- round4_s4_serv_sante.dta
- round4_s12_gouvernance.dta
- round5_s03_comportements_covid.dta
- round5_s12_gouvernance.dta
- round4_s01_membres.dta
- round5_s01_membres.dta
- round4_s04_acces_covid.dta
- round4_s03_comportements_covid.dta
- round4_s4_services_sante.dta
- round4_s05_emploi_revenu_covid.dta
- round4_s06_insecu_alim.dta
- round4_s08_perte_revenu.dta
- round5_s4_serv_sante.dta
- round5_s4_services_sante.dta
- round5_s05_emploi_revenu_covid.dta
- round5_s08_perte_revenu.dta
Région (region)
Data file: round1_s09_chocs.dta
Overview
Valid:
2370
Invalid:
-
Minimum:
1
Maximum:
11
Type:
Discrete
Decimal:
0
Start:
98
End:
99
Width:
2
Range:
1 - 11
Format:
Numeric
Questions and instructions
Literal question
Region
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Kayes | 298 |
12.6%
|
| 2 | Koulikoro | 256 |
10.8%
|
| 3 | Sikasso | 355 |
15%
|
| 4 | Ségou | 261 |
11%
|
| 5 | Mopti | 263 |
11.1%
|
| 6 | Tombouctou | 102 |
4.3%
|
| 7 | Gao | 71 |
3%
|
| 8 | Kidal | 30 |
1.3%
|
| 9 | Bamako | 709 |
29.9%
|
| 10 | Taoudenit | 4 |
0.2%
|
| 11 | Menaka | 21 |
0.9%
|
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.