Impact Evaluation of the Social Support for Resilient Households Project 2023-2024
Baseline
Malawi, 2023 - 2024
Get Microdata
Reference ID
MWI_2023-2024_SSRLPIE-BL_v01_M
Producer(s)
Emily Beam, Benedetta Lerva
Created on
Feb 19, 2025
Last modified
Feb 19, 2025
Page views
31285
Downloads
143
- Data files
- sslrp_baseline.dta
- hh_roster.dta
- demographics.dta
- migration.dta
- education_roster.dta
- health_roster.dta
- asset_list.dta
- labour_roster.dta
- agricultural_season.dta
- agr_act_hhmbr.dta
- livestock.dta
- lvtk_product_sales.dta
- livestock_raising_member.dta
- nfe_roster.dta
- nfe_purch_assets.dta
- nfe_sold_assets.dta
- nfe_hh_roster.dta
- oth_income.dta
- food_consumption.dta
- nonfood_consumption_week.dta
- nonfood_consumption_month.dta
- nonfood_consumption_three_month.dta
- nonfood_consumption_year.dta
- food_security.dta
- saving_account.dta
- financial_vlsa.dta
- outstanding_loans.dta
- financial_loan.dta
- financial_insurance.dta
- perm_crops.dta
- seasonal_crops.dta
- seasonal_lab_agr_act.dta
- sslrp_baseline_e2.dta
- hh_roster.dta
- demographics.dta
- migration.dta
- education_roster.dta
- health_roster.dta
- asset_list.dta
- labour_roster.dta
- perm_crops.dta
- seasonal_crops.dta
- agricultural_season.dta
- seasonal_lab_agr_act.dta
- agr_act_hhmbr.dta
- livestock.dta
- lvtk_product_sales.dta
- livestock_raising_member.dta
- nfe_roster.dta
- nfe_purch_assets.dta
- nfe_sold_assets.dta
- nfe_hh_roster.dta
- oth_income.dta
- food_consumption.dta
- nonfood_consumption_week.dta
- nonfood_consumption_month.dta
- nonfood_consumption_three_month.dta
- nonfood_consumption_year.dta
- food_security.dta
- saving_account.dta
- financial_vlsa.dta
- outstanding_loans.dta
- financial_loan.dta
- financial_insurance.dta
D.11 How many hours in the last seven days did you engage in an unpaid apprentic (lab_apprent_week)
Data file: labour_roster.dta
Overview
Valid:
343
Invalid:
3262
Minimum:
0
Maximum:
70
Type:
Discrete
Decimal:
0
Start:
58
End:
60
Width:
3
Range:
0 - 70
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 213 |
62.1%
|
|
| 1 | 8 |
2.3%
|
|
| 1.5 | 1 |
0.3%
|
|
| 2 | 27 |
7.9%
|
|
| 3 | 12 |
3.5%
|
|
| 4 | 13 |
3.8%
|
|
| 5 | 4 |
1.2%
|
|
| 6 | 18 |
5.2%
|
|
| 7 | 4 |
1.2%
|
|
| 8 | 8 |
2.3%
|
|
| 9 | 4 |
1.2%
|
|
| 10 | 1 |
0.3%
|
|
| 12 | 9 |
2.6%
|
|
| 14 | 1 |
0.3%
|
|
| 16 | 1 |
0.3%
|
|
| 18 | 3 |
0.9%
|
|
| 22 | 3 |
0.9%
|
|
| 24 | 4 |
1.2%
|
|
| 25 | 4 |
1.2%
|
|
| 32 | 1 |
0.3%
|
|
| 36 | 1 |
0.3%
|
|
| 42 | 2 |
0.6%
|
|
| 70 | 1 |
0.3%
|
|
| Sysmiss | 3262 |
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.