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
3935
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.35. What was the loan amount? (dq_fin_loan_ever_amt)
Data file: financial_loan.dta
Overview
Valid:
109
Invalid:
101
Minimum:
3000
Maximum:
300000
Type:
Discrete
Decimal:
0
Start:
275
End:
280
Width:
6
Range:
3000 - 300000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 3000 | 1 |
0.9%
|
|
| 4200 | 1 |
0.9%
|
|
| 5000 | 2 |
1.8%
|
|
| 6000 | 1 |
0.9%
|
|
| 9000 | 2 |
1.8%
|
|
| 10000 | 12 |
11%
|
|
| 15000 | 4 |
3.7%
|
|
| 17000 | 1 |
0.9%
|
|
| 20000 | 10 |
9.2%
|
|
| 21000 | 1 |
0.9%
|
|
| 22000 | 1 |
0.9%
|
|
| 25000 | 3 |
2.8%
|
|
| 30000 | 11 |
10.1%
|
|
| 35000 | 1 |
0.9%
|
|
| 40000 | 6 |
5.5%
|
|
| 45000 | 2 |
1.8%
|
|
| 46000 | 1 |
0.9%
|
|
| 50000 | 13 |
11.9%
|
|
| 59000 | 1 |
0.9%
|
|
| 60000 | 2 |
1.8%
|
|
| 65000 | 2 |
1.8%
|
|
| 70000 | 2 |
1.8%
|
|
| 80000 | 3 |
2.8%
|
|
| 99000 | 1 |
0.9%
|
|
| 100000 | 5 |
4.6%
|
|
| 105000 | 2 |
1.8%
|
|
| 106000 | 1 |
0.9%
|
|
| 110000 | 2 |
1.8%
|
|
| 115000 | 1 |
0.9%
|
|
| 120000 | 1 |
0.9%
|
|
| 130000 | 1 |
0.9%
|
|
| 135000 | 1 |
0.9%
|
|
| 137000 | 1 |
0.9%
|
|
| 140000 | 1 |
0.9%
|
|
| 150000 | 3 |
2.8%
|
|
| 160000 | 1 |
0.9%
|
|
| 173000 | 1 |
0.9%
|
|
| 200000 | 1 |
0.9%
|
|
| 250000 | 1 |
0.9%
|
|
| 300000 | 2 |
1.8%
|
|
| Sysmiss | 101 |
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.