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
66310
Downloads
451
- 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.57 What was the total monetary value of the ${lvtk_name}(s) that was received (lvtk_received_value)
Data file: livestock.dta
Overview
Valid:
232
Invalid:
4382
Minimum:
0
Maximum:
400000
Type:
Discrete
Decimal:
0
Start:
134
End:
139
Width:
6
Range:
0 - 400000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 45 |
19.4%
|
|
| 1 | 1 |
0.4%
|
|
| 8 | 1 |
0.4%
|
|
| 500 | 1 |
0.4%
|
|
| 1000 | 2 |
0.9%
|
|
| 1400 | 1 |
0.4%
|
|
| 1500 | 4 |
1.7%
|
|
| 2000 | 9 |
3.9%
|
|
| 2500 | 4 |
1.7%
|
|
| 3000 | 13 |
5.6%
|
|
| 3500 | 3 |
1.3%
|
|
| 4000 | 13 |
5.6%
|
|
| 4500 | 2 |
0.9%
|
|
| 5000 | 15 |
6.5%
|
|
| 6000 | 15 |
6.5%
|
|
| 6500 | 1 |
0.4%
|
|
| 7000 | 8 |
3.4%
|
|
| 7500 | 3 |
1.3%
|
|
| 8000 | 8 |
3.4%
|
|
| 8500 | 1 |
0.4%
|
|
| 9000 | 2 |
0.9%
|
|
| 10000 | 13 |
5.6%
|
|
| 12000 | 3 |
1.3%
|
|
| 13000 | 1 |
0.4%
|
|
| 14000 | 1 |
0.4%
|
|
| 15000 | 5 |
2.2%
|
|
| 16000 | 2 |
0.9%
|
|
| 18000 | 2 |
0.9%
|
|
| 20000 | 4 |
1.7%
|
|
| 25000 | 5 |
2.2%
|
|
| 28000 | 1 |
0.4%
|
|
| 30000 | 14 |
6%
|
|
| 33000 | 1 |
0.4%
|
|
| 35000 | 2 |
0.9%
|
|
| 40000 | 4 |
1.7%
|
|
| 45000 | 2 |
0.9%
|
|
| 50000 | 4 |
1.7%
|
|
| 60000 | 2 |
0.9%
|
|
| 70000 | 2 |
0.9%
|
|
| 75000 | 2 |
0.9%
|
|
| 80000 | 3 |
1.3%
|
|
| 109000 | 1 |
0.4%
|
|
| 120000 | 2 |
0.9%
|
|
| 140000 | 1 |
0.4%
|
|
| 150000 | 1 |
0.4%
|
|
| 200000 | 1 |
0.4%
|
|
| 400000 | 1 |
0.4%
|
|
| Sysmiss | 4382 |
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.