High Frequency Phone Survey 2020-2021
Gambia, 2020 - 2021
Get MicrodataCreated on
Jan 03, 2022
Last modified
Jan 03, 2022
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- Data files
- hhroster_wave1.dta
- mktroster.dta
- GAMBIA_COVID_19_weighted_cleaned_wave1.dta
- income_loss.dta
- s13shockroster.dta
- s13q5.dta
- hhroster_wave2_annonymized.dta
- mktroster_wave2.dta
- GAMBIA_COVID_19Wave2.dta
- income_loss_wave2.dta
- s3service_wave2.dta
- hhroster_wave3_anonymised.dta
- mktroster_wave3.dta
- GAMBIA_COVID_19Wave3_cleaned_anonymised.dta
- income_loss_wave3.dta
- s3service_wave3.dta
- hhroster_wave4_anonymised.dta
- GAMBIA_COVID_19Wave4_anonymised.dta
-
informal
employment_wave4.dta - hhroster_wave5.dta
- GAMBIA_COVID_19Wave5_anonymised_weighted.dta
- hhroster_wave6.dta
- GAMBIA_COVID_19Wave6_anonymised_weighted.dta
- hhroster_wave7.dta
- GAMBIA_COVID_19Wave7_anonymised_weighted.dta
- hhroster_wave8.dta
- mktroster__wave8.dta
- GAMBIA_COVID_19Wave8_weighted.dta
- income_loss_wave8.dta
- s3service__wave8.dta
- hhroster_anonymised__wave9.dta
- GAMBIA_COVID_19Wave9_weighted.dta
- income_loss__wave9.dta
- hhroster_anonymised_wave10.dta
- GAMBIA_COVID_19Wave10_weighted.dta
- income_loss_wave10.dta
3.Before the coronavirus outbreak, how did this person usually take care of his/ (s24q3)
Data file: GAMBIA_COVID_19Wave5_anonymised_weighted.dta
Overview
Valid:
153
Invalid:
1273
Minimum:
1
Maximum:
4
Type:
Discrete
Decimal:
0
Start:
652
End:
652
Width:
1
Range:
1 - 4
Format:
Numeric
Questions and instructions
Literal question
3. Before the coronavirus outbreak, how did this person usually take care of his/her day-today activities (e.g. grocery shopping, going to the bank, and picking up medicines etc.)?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | By self with no help | 56 |
36.6%
|
| 2 | With some help from another person | 63 |
41.2%
|
| 3 | Someone else did it for him/her | 21 |
13.7%
|
| 4 | Not Applicable | 13 |
8.5%
|
| Sysmiss | 1273 |
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.