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
68832
Downloads
459
- 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
Main respondent age (main_resp_age)
Data file: sslrp_baseline_e2.dta
Overview
Valid:
639
Invalid:
1
Minimum:
7
Maximum:
50
Type:
Discrete
Decimal:
0
Start:
216
End:
217
Width:
2
Range:
7 - 50
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 7 | 1 |
0.2%
|
|
| 17 | 2 |
0.3%
|
|
| 18 | 10 |
1.6%
|
|
| 19 | 10 |
1.6%
|
|
| 20 | 16 |
2.5%
|
|
| 21 | 19 |
3%
|
|
| 22 | 37 |
5.8%
|
|
| 23 | 77 |
12.1%
|
|
| 24 | 66 |
10.3%
|
|
| 25 | 48 |
7.5%
|
|
| 26 | 53 |
8.3%
|
|
| 27 | 34 |
5.3%
|
|
| 28 | 41 |
6.4%
|
|
| 29 | 38 |
5.9%
|
|
| 30 | 54 |
8.5%
|
|
| 31 | 47 |
7.4%
|
|
| 32 | 46 |
7.2%
|
|
| 33 | 20 |
3.1%
|
|
| 34 | 3 |
0.5%
|
|
| 35 | 7 |
1.1%
|
|
| 36 | 4 |
0.6%
|
|
| 37 | 2 |
0.3%
|
|
| 38 | 2 |
0.3%
|
|
| 45 | 1 |
0.2%
|
|
| 50 | 1 |
0.2%
|
|
| Sysmiss | 1 |
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.