COVID-19 Panel Phone Survey of Households 2020
Mali, 2020
Get MicrodataCreated on
Jan 16, 2021
Last modified
Jan 16, 2021
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- 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
What is the sex of [NAME]? (s01q05)
Data file: round2_s01_membres_du_menage.dta
Overview
Valid:
16002
Invalid:
136
Minimum:
1
Maximum:
2
Type:
Discrete
Decimal:
0
Start:
56
End:
56
Width:
1
Range:
1 - 2
Format:
Numeric
Questions and instructions
Literal question
De quel genre est [NOM]?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | HOMME | 7879 |
49.2%
|
| 2 | FEMME | 8123 |
50.8%
|
| Sysmiss | 136 |
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.