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
2734
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
I.25. Which household member took out the loan? (dq_loan_outs_hhr)
Data file: outstanding_loans.dta
Overview
Valid:
187
Invalid:
256
Minimum:
1
Maximum:
9
Type:
Discrete
Decimal:
0
Start:
335
End:
336
Width:
2
Range:
1 - 9
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | ${hhmbr_name1} | 121 |
64.7%
|
| 2 | ${hhmbr_name2} | 12 |
6.4%
|
| 3 | ${hhmbr_name3} | 12 |
6.4%
|
| 4 | ${hhmbr_name4} | 4 |
2.1%
|
| 5 | ${hhmbr_name5} | 9 |
4.8%
|
| 6 | ${hhmbr_name6} | 10 |
5.3%
|
| 7 | ${hhmbr_name7} | 8 |
4.3%
|
| 8 | ${hhmbr_name8} | 8 |
4.3%
|
| 9 | ${hhmbr_name9} | 3 |
1.6%
|
| 10 | ${hhmbr_name10} | 0 |
0%
|
| 11 | ${hhmbr_name11} | 0 |
0%
|
| 12 | ${hhmbr_name12} | 0 |
0%
|
| 13 | ${hhmbr_name13} | 0 |
0%
|
| 14 | ${hhmbr_name14} | 0 |
0%
|
| 15 | ${hhmbr_name15} | 0 |
0%
|
| Sysmiss | 256 |
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.