COVID-19 Panel Phone Survey of Households, 2020
Mali, 2020
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Reference ID
MLI_2020_CPPSH_v01_EN_M_v01_A_OCS
Producer(s)
National Institute of Statistics (INSTAT)
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Metadata
Created on
Feb 05, 2021
Last modified
Nov 08, 2022
Page views
30117
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169
- 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
0.01. Région (s00q01)
Data file: round1_s03_comportements_covid.dta
Overview
Valid:
1766
Invalid:
-
Minimum:
1
Maximum:
11
Type:
Discrete
Decimal:
0
Start:
28
End:
37
Width:
10
Range:
1 - 11
Format:
Numeric
Questions and instructions
Literal question
Region
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -999999999 | missing | 0 |
0%
|
| 1 | Kayes | 209 |
11.8%
|
| 2 | Koulikoro | 198 |
11.2%
|
| 3 | Sikasso | 260 |
14.7%
|
| 4 | S�gou | 199 |
11.3%
|
| 5 | Mopti | 181 |
10.2%
|
| 6 | Tombouctou | 60 |
3.4%
|
| 7 | Gao | 35 |
2%
|
| 8 | Kidal | 17 |
1%
|
| 9 | Bamako | 594 |
33.6%
|
| 10 | 2 |
0.1%
|
|
| 11 | 11 |
0.6%
|
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.