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
3974
Downloads
40
- 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
E.69 Over the past 12 months, how many days did a typical hired worker work in t (lvtk_hire_days)
Data file: sslrp_baseline_e2.dta
Overview
Valid:
59
Invalid:
581
Minimum:
2
Maximum:
365
Type:
Discrete
Decimal:
0
Start:
1537
End:
1539
Width:
3
Range:
2 - 365
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 2 | 1 |
1.7%
|
|
| 15 | 1 |
1.7%
|
|
| 30 | 5 |
8.5%
|
|
| 31 | 1 |
1.7%
|
|
| 40 | 1 |
1.7%
|
|
| 52 | 1 |
1.7%
|
|
| 60 | 6 |
10.2%
|
|
| 84 | 1 |
1.7%
|
|
| 90 | 2 |
3.4%
|
|
| 93 | 1 |
1.7%
|
|
| 120 | 6 |
10.2%
|
|
| 150 | 1 |
1.7%
|
|
| 183 | 1 |
1.7%
|
|
| 210 | 2 |
3.4%
|
|
| 240 | 2 |
3.4%
|
|
| 325 | 1 |
1.7%
|
|
| 350 | 1 |
1.7%
|
|
| 365 | 25 |
42.4%
|
|
| Sysmiss | 581 |
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.