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
33902
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
J.2 Now think about your life in 5 years from now. Consider whether you expect y (socstat_hope_self)
Data file: sslrp_baseline_e2.dta
Overview
Valid:
635
Invalid:
5
Minimum:
0
Maximum:
10
Type:
Discrete
Decimal:
0
Start:
3450
End:
3452
Width:
3
Range:
0 - 10
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -66 | Refused to answer | 0 |
0%
|
| 0 | Stair 0, least money, least education, worst livelihood | 2 |
0.3%
|
| 1 | Stair 1 | 12 |
1.9%
|
| 2 | Stair 2 | 23 |
3.6%
|
| 3 | Stair 3 | 37 |
5.8%
|
| 4 | Stair 4 | 60 |
9.4%
|
| 5 | Stair 5 | 131 |
20.6%
|
| 6 | Stair 6 | 84 |
13.2%
|
| 7 | Stair 7 | 92 |
14.5%
|
| 8 | Stair 8 | 90 |
14.2%
|
| 9 | Stair 9 | 32 |
5%
|
| 10 | Stair 10, most money, most education, best livelihood | 72 |
11.3%
|
| Sysmiss | 5 |
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.