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
4840
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
Data Quality:J.2 Now think about your life in 5 years from now. Consider whether (dq_socstat_hope_self)
Data file: sslrp_baseline_e2.dta
Overview
Valid:
75
Invalid:
565
Minimum:
2
Maximum:
10
Type:
Discrete
Decimal:
0
Start:
4505
End:
4507
Width:
3
Range:
2 - 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 | 0 |
0%
|
| 1 | Stair 1 | 0 |
0%
|
| 2 | Stair 2 | 1 |
1.3%
|
| 3 | Stair 3 | 1 |
1.3%
|
| 4 | Stair 4 | 3 |
4%
|
| 5 | Stair 5 | 15 |
20%
|
| 6 | Stair 6 | 8 |
10.7%
|
| 7 | Stair 7 | 19 |
25.3%
|
| 8 | Stair 8 | 9 |
12%
|
| 9 | Stair 9 | 4 |
5.3%
|
| 10 | Stair 10, most money, most education, best livelihood | 15 |
20%
|
| Sysmiss | 565 |
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.