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
65637
Downloads
449
- 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.33.f How much did the household spend on 'Other input' during ${agr_season}? (season_input_cost6)
Data file: agricultural_season.dta
Overview
Valid:
69
Invalid:
4704
Minimum:
0
Maximum:
70000
Type:
Discrete
Decimal:
0
Start:
352
End:
356
Width:
5
Range:
0 - 70000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 35 |
50.7%
|
|
| 2000 | 1 |
1.4%
|
|
| 2500 | 2 |
2.9%
|
|
| 3000 | 3 |
4.3%
|
|
| 5000 | 2 |
2.9%
|
|
| 7500 | 1 |
1.4%
|
|
| 8000 | 1 |
1.4%
|
|
| 10000 | 2 |
2.9%
|
|
| 10500 | 1 |
1.4%
|
|
| 11000 | 1 |
1.4%
|
|
| 15000 | 7 |
10.1%
|
|
| 16000 | 1 |
1.4%
|
|
| 17000 | 1 |
1.4%
|
|
| 24000 | 1 |
1.4%
|
|
| 28000 | 1 |
1.4%
|
|
| 29000 | 1 |
1.4%
|
|
| 30000 | 3 |
4.3%
|
|
| 32000 | 1 |
1.4%
|
|
| 40000 | 1 |
1.4%
|
|
| 60000 | 1 |
1.4%
|
|
| 62000 | 1 |
1.4%
|
|
| 70000 | 1 |
1.4%
|
|
| Sysmiss | 4704 |
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.