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
2766
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
E.9 How much did your household spend renting in agricultural land (cash and in- (agr_rentin_amt)
Data file: sslrp_baseline_e2.dta
Overview
Valid:
234
Invalid:
406
Minimum:
0
Maximum:
240000
Type:
Discrete
Decimal:
0
Start:
986
End:
991
Width:
6
Range:
0 - 240000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 7 |
3%
|
|
| 3500 | 1 |
0.4%
|
|
| 6000 | 1 |
0.4%
|
|
| 7500 | 5 |
2.1%
|
|
| 10000 | 12 |
5.1%
|
|
| 10500 | 1 |
0.4%
|
|
| 12000 | 3 |
1.3%
|
|
| 12500 | 1 |
0.4%
|
|
| 15000 | 28 |
12%
|
|
| 15500 | 1 |
0.4%
|
|
| 16500 | 1 |
0.4%
|
|
| 17000 | 2 |
0.9%
|
|
| 18000 | 1 |
0.4%
|
|
| 20000 | 28 |
12%
|
|
| 22000 | 1 |
0.4%
|
|
| 22500 | 1 |
0.4%
|
|
| 25000 | 12 |
5.1%
|
|
| 30000 | 39 |
16.7%
|
|
| 32000 | 1 |
0.4%
|
|
| 34000 | 2 |
0.9%
|
|
| 35000 | 10 |
4.3%
|
|
| 38000 | 1 |
0.4%
|
|
| 39000 | 1 |
0.4%
|
|
| 40000 | 7 |
3%
|
|
| 42000 | 1 |
0.4%
|
|
| 45000 | 7 |
3%
|
|
| 50000 | 14 |
6%
|
|
| 55000 | 1 |
0.4%
|
|
| 56000 | 1 |
0.4%
|
|
| 57000 | 1 |
0.4%
|
|
| 60000 | 14 |
6%
|
|
| 70000 | 2 |
0.9%
|
|
| 80000 | 5 |
2.1%
|
|
| 90000 | 7 |
3%
|
|
| 100000 | 1 |
0.4%
|
|
| 120000 | 4 |
1.7%
|
|
| 130000 | 1 |
0.4%
|
|
| 150000 | 4 |
1.7%
|
|
| 160000 | 1 |
0.4%
|
|
| 210000 | 2 |
0.9%
|
|
| 240000 | 1 |
0.4%
|
|
| Sysmiss | 406 |
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.