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
65150
Downloads
447
- 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
F.21 How many days did ${nfe_roster_name} work in ${nfe_descr} in the last 30 (nfe_hhr_days)
Data file: nfe_hh_roster.dta
Overview
Valid:
466
Invalid:
-
Minimum:
0
Maximum:
30
Type:
Discrete
Decimal:
0
Start:
13
End:
14
Width:
2
Range:
0 - 30
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 61 |
13.1%
|
|
| 1 | 11 |
2.4%
|
|
| 2 | 29 |
6.2%
|
|
| 3 | 23 |
4.9%
|
|
| 4 | 26 |
5.6%
|
|
| 5 | 22 |
4.7%
|
|
| 6 | 9 |
1.9%
|
|
| 7 | 36 |
7.7%
|
|
| 8 | 8 |
1.7%
|
|
| 9 | 2 |
0.4%
|
|
| 10 | 28 |
6%
|
|
| 11 | 3 |
0.6%
|
|
| 12 | 8 |
1.7%
|
|
| 14 | 24 |
5.2%
|
|
| 15 | 20 |
4.3%
|
|
| 16 | 1 |
0.2%
|
|
| 17 | 1 |
0.2%
|
|
| 18 | 5 |
1.1%
|
|
| 19 | 1 |
0.2%
|
|
| 20 | 22 |
4.7%
|
|
| 21 | 7 |
1.5%
|
|
| 23 | 2 |
0.4%
|
|
| 24 | 5 |
1.1%
|
|
| 25 | 14 |
3%
|
|
| 26 | 11 |
2.4%
|
|
| 27 | 1 |
0.2%
|
|
| 28 | 8 |
1.7%
|
|
| 29 | 2 |
0.4%
|
|
| 30 | 76 |
16.3%
|
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.