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
65218
Downloads
447
- 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.c How much did the household spend on 'Other fertilizer' during ${agr_seas (season_input_cost3)
Data file: agricultural_season.dta
Overview
Valid:
116
Invalid:
4657
Minimum:
0
Maximum:
452000
Type:
Discrete
Decimal:
0
Start:
335
End:
340
Width:
6
Range:
0 - 452000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 18 |
15.5%
|
|
| 136 | 1 |
0.9%
|
|
| 270 | 1 |
0.9%
|
|
| 1800 | 1 |
0.9%
|
|
| 3000 | 1 |
0.9%
|
|
| 3200 | 1 |
0.9%
|
|
| 3800 | 1 |
0.9%
|
|
| 6000 | 1 |
0.9%
|
|
| 7000 | 2 |
1.7%
|
|
| 9000 | 2 |
1.7%
|
|
| 10500 | 1 |
0.9%
|
|
| 11000 | 1 |
0.9%
|
|
| 12000 | 2 |
1.7%
|
|
| 13000 | 1 |
0.9%
|
|
| 15000 | 21 |
18.1%
|
|
| 16000 | 1 |
0.9%
|
|
| 20000 | 2 |
1.7%
|
|
| 21000 | 1 |
0.9%
|
|
| 25000 | 2 |
1.7%
|
|
| 26000 | 1 |
0.9%
|
|
| 30000 | 8 |
6.9%
|
|
| 33000 | 2 |
1.7%
|
|
| 35000 | 1 |
0.9%
|
|
| 40000 | 3 |
2.6%
|
|
| 45000 | 3 |
2.6%
|
|
| 50000 | 1 |
0.9%
|
|
| 51000 | 1 |
0.9%
|
|
| 55000 | 3 |
2.6%
|
|
| 58000 | 1 |
0.9%
|
|
| 59000 | 1 |
0.9%
|
|
| 60000 | 5 |
4.3%
|
|
| 62000 | 2 |
1.7%
|
|
| 64500 | 1 |
0.9%
|
|
| 65000 | 4 |
3.4%
|
|
| 70000 | 3 |
2.6%
|
|
| 72000 | 1 |
0.9%
|
|
| 75000 | 5 |
4.3%
|
|
| 75500 | 1 |
0.9%
|
|
| 78000 | 1 |
0.9%
|
|
| 80000 | 2 |
1.7%
|
|
| 83000 | 1 |
0.9%
|
|
| 120000 | 1 |
0.9%
|
|
| 123000 | 1 |
0.9%
|
|
| 156000 | 1 |
0.9%
|
|
| 452000 | 1 |
0.9%
|
|
| Sysmiss | 4657 |
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.