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
Collection(s)
Metadata
Created on
Nov 07, 2024
Last modified
Nov 07, 2024
Page views
44808
Downloads
2749
- 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
B.28.f Cost of meals (edu_exp_meals_amt)
Data file: education_roster.dta
Overview
Valid:
172
Invalid:
19781
Minimum:
0
Maximum:
840000
Type:
Discrete
Decimal:
0
Start:
271
End:
276
Width:
6
Range:
0 - 840000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 1 |
0.6%
|
|
| 100 | 3 |
1.7%
|
|
| 200 | 2 |
1.2%
|
|
| 300 | 1 |
0.6%
|
|
| 500 | 9 |
5.2%
|
|
| 1000 | 15 |
8.7%
|
|
| 1500 | 2 |
1.2%
|
|
| 2000 | 10 |
5.8%
|
|
| 3000 | 10 |
5.8%
|
|
| 4000 | 4 |
2.3%
|
|
| 4500 | 1 |
0.6%
|
|
| 5000 | 16 |
9.3%
|
|
| 6000 | 2 |
1.2%
|
|
| 7000 | 5 |
2.9%
|
|
| 8000 | 4 |
2.3%
|
|
| 9000 | 1 |
0.6%
|
|
| 10000 | 14 |
8.1%
|
|
| 11000 | 1 |
0.6%
|
|
| 12000 | 2 |
1.2%
|
|
| 13500 | 1 |
0.6%
|
|
| 15000 | 5 |
2.9%
|
|
| 17000 | 1 |
0.6%
|
|
| 18000 | 1 |
0.6%
|
|
| 20000 | 14 |
8.1%
|
|
| 21000 | 1 |
0.6%
|
|
| 22000 | 1 |
0.6%
|
|
| 23500 | 1 |
0.6%
|
|
| 24000 | 2 |
1.2%
|
|
| 25000 | 3 |
1.7%
|
|
| 29000 | 1 |
0.6%
|
|
| 30000 | 9 |
5.2%
|
|
| 39000 | 1 |
0.6%
|
|
| 40000 | 4 |
2.3%
|
|
| 43600 | 2 |
1.2%
|
|
| 43608 | 1 |
0.6%
|
|
| 45000 | 2 |
1.2%
|
|
| 46500 | 1 |
0.6%
|
|
| 50000 | 6 |
3.5%
|
|
| 55000 | 1 |
0.6%
|
|
| 60000 | 3 |
1.7%
|
|
| 65000 | 1 |
0.6%
|
|
| 90000 | 1 |
0.6%
|
|
| 100000 | 2 |
1.2%
|
|
| 130000 | 1 |
0.6%
|
|
| 300000 | 1 |
0.6%
|
|
| 360000 | 1 |
0.6%
|
|
| 840000 | 1 |
0.6%
|
|
| Sysmiss | 19781 |
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.