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
68319
Downloads
453
- 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
C.4 How many ${asset_name}(s) did you household purchase or paid for in the pas (assets_pastpurch_amt)
Data file: asset_list.dta
Overview
Valid:
1930
Invalid:
5497
Minimum:
1
Maximum:
700000
Type:
Discrete
Decimal:
0
Start:
64
End:
69
Width:
6
Range:
1 - 700000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | 1588 |
82.3%
|
|
| 2 | 178 |
9.2%
|
|
| 3 | 38 |
2%
|
|
| 4 | 59 |
3.1%
|
|
| 5 | 5 |
0.3%
|
|
| 6 | 13 |
0.7%
|
|
| 7 | 1 |
0.1%
|
|
| 8 | 1 |
0.1%
|
|
| 12 | 1 |
0.1%
|
|
| 300 | 1 |
0.1%
|
|
| 800 | 1 |
0.1%
|
|
| 1500 | 1 |
0.1%
|
|
| 2000 | 1 |
0.1%
|
|
| 2500 | 1 |
0.1%
|
|
| 3000 | 1 |
0.1%
|
|
| 3500 | 1 |
0.1%
|
|
| 4000 | 1 |
0.1%
|
|
| 4500 | 1 |
0.1%
|
|
| 5000 | 3 |
0.2%
|
|
| 6000 | 2 |
0.1%
|
|
| 8000 | 2 |
0.1%
|
|
| 10000 | 2 |
0.1%
|
|
| 11000 | 1 |
0.1%
|
|
| 11500 | 1 |
0.1%
|
|
| 12000 | 2 |
0.1%
|
|
| 14000 | 2 |
0.1%
|
|
| 14500 | 1 |
0.1%
|
|
| 15000 | 5 |
0.3%
|
|
| 18000 | 1 |
0.1%
|
|
| 20000 | 2 |
0.1%
|
|
| 21000 | 1 |
0.1%
|
|
| 24000 | 1 |
0.1%
|
|
| 25000 | 1 |
0.1%
|
|
| 30000 | 3 |
0.2%
|
|
| 33000 | 1 |
0.1%
|
|
| 36000 | 1 |
0.1%
|
|
| 42000 | 1 |
0.1%
|
|
| 46000 | 1 |
0.1%
|
|
| 48000 | 1 |
0.1%
|
|
| 50000 | 1 |
0.1%
|
|
| 700000 | 1 |
0.1%
|
|
| Sysmiss | 5497 |
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.