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
32120
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
I.36. What was the total interest amount to pay for this loan? (dq_fin_loan_ever_rate)
Data file: financial_loan.dta
Overview
Valid:
107
Invalid:
103
Minimum:
0
Maximum:
70000
Type:
Discrete
Decimal:
0
Start:
281
End:
285
Width:
5
Range:
0 - 70000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 9 |
8.4%
|
|
| 900 | 2 |
1.9%
|
|
| 1000 | 4 |
3.7%
|
|
| 1500 | 2 |
1.9%
|
|
| 2000 | 6 |
5.6%
|
|
| 2200 | 1 |
0.9%
|
|
| 3000 | 8 |
7.5%
|
|
| 3400 | 1 |
0.9%
|
|
| 3500 | 1 |
0.9%
|
|
| 4000 | 10 |
9.3%
|
|
| 4500 | 1 |
0.9%
|
|
| 5000 | 7 |
6.5%
|
|
| 6000 | 4 |
3.7%
|
|
| 6500 | 1 |
0.9%
|
|
| 8000 | 3 |
2.8%
|
|
| 8500 | 1 |
0.9%
|
|
| 9000 | 2 |
1.9%
|
|
| 9200 | 1 |
0.9%
|
|
| 10000 | 11 |
10.3%
|
|
| 10500 | 1 |
0.9%
|
|
| 11500 | 1 |
0.9%
|
|
| 12000 | 5 |
4.7%
|
|
| 13500 | 1 |
0.9%
|
|
| 13700 | 1 |
0.9%
|
|
| 15000 | 1 |
0.9%
|
|
| 16000 | 2 |
1.9%
|
|
| 17000 | 1 |
0.9%
|
|
| 18000 | 1 |
0.9%
|
|
| 20000 | 2 |
1.9%
|
|
| 21000 | 1 |
0.9%
|
|
| 21200 | 1 |
0.9%
|
|
| 22000 | 2 |
1.9%
|
|
| 22500 | 1 |
0.9%
|
|
| 24000 | 1 |
0.9%
|
|
| 26000 | 1 |
0.9%
|
|
| 28000 | 1 |
0.9%
|
|
| 30000 | 2 |
1.9%
|
|
| 32000 | 1 |
0.9%
|
|
| 40000 | 1 |
0.9%
|
|
| 50000 | 1 |
0.9%
|
|
| 60000 | 2 |
1.9%
|
|
| 70000 | 1 |
0.9%
|
|
| Sysmiss | 103 |
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.