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
2917
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
Household ID (hh_id)
Data file: financial_insurance.dta
Overview
Valid:
44
Invalid:
56
Minimum:
11103153
Maximum:
55114134
Type:
Discrete
Decimal:
0
Start:
1
End:
8
Width:
8
Range:
11103153 - 55114134
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 11103153 | 1 |
2.3%
|
|
| 22120139 | 1 |
2.3%
|
|
| 22134150 | 1 |
2.3%
|
|
| 33102205 | 1 |
2.3%
|
|
| 33102237 | 1 |
2.3%
|
|
| 33102302 | 1 |
2.3%
|
|
| 33105159 | 1 |
2.3%
|
|
| 33105204 | 1 |
2.3%
|
|
| 33112203 | 1 |
2.3%
|
|
| 33120105 | 1 |
2.3%
|
|
| 33120106 | 1 |
2.3%
|
|
| 33120162 | 1 |
2.3%
|
|
| 33120294 | 1 |
2.3%
|
|
| 33120295 | 1 |
2.3%
|
|
| 33126234 | 1 |
2.3%
|
|
| 33127130 | 1 |
2.3%
|
|
| 33127194 | 1 |
2.3%
|
|
| 33127358 | 1 |
2.3%
|
|
| 33128266 | 1 |
2.3%
|
|
| 33132213 | 1 |
2.3%
|
|
| 33135236 | 1 |
2.3%
|
|
| 33141188 | 1 |
2.3%
|
|
| 33143238 | 1 |
2.3%
|
|
| 33148114 | 1 |
2.3%
|
|
| 33148231 | 1 |
2.3%
|
|
| 33148356 | 1 |
2.3%
|
|
| 33163233 | 1 |
2.3%
|
|
| 33163268 | 1 |
2.3%
|
|
| 44102149 | 1 |
2.3%
|
|
| 44102162 | 1 |
2.3%
|
|
| 44102164 | 2 |
4.5%
|
|
| 44106103 | 1 |
2.3%
|
|
| 44112105 | 1 |
2.3%
|
|
| 44112130 | 1 |
2.3%
|
|
| 44112167 | 1 |
2.3%
|
|
| 44113111 | 1 |
2.3%
|
|
| 44124134 | 1 |
2.3%
|
|
| 44128131 | 1 |
2.3%
|
|
| 55104115 | 1 |
2.3%
|
|
| 55104119 | 1 |
2.3%
|
|
| 55104163 | 1 |
2.3%
|
|
| 55105178 | 1 |
2.3%
|
|
| 55114134 | 1 |
2.3%
|
|
| Sysmiss | 56 |
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.