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Impact Evaluation of the Social Support for Resilient Households Project 2023-2024
Baseline

Malawi, 2023 - 2024
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Reference ID
MWI_2023-2024_SSRLPIE-BL_v01_M
Producer(s)
Emily Beam, Benedetta Lerva
Collection(s)
Development Impact Evaluation (DIME)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Nov 07, 2024
Last modified
Nov 07, 2024
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45956
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Data file: sslrp_baseline_e2.dta

Experiment 2 - Household level data

Cases: 640
Variables: 904

Variables

othinc_sct
G.2 What type of social cash transfer does your household receive?
othinc_sct_oth
G.2.oth Please specify
othinc_sct_freq
G.3 How often do you receive social cash transfers?
inc_oth_count
Other income source count
oth_inc_roster_count
Roster count for each other income source
setofoth_inc_roster
SET-OF-oth_inc_roster
modg_support
G.5 Did the key person need support from another person to complete the other-in
modg_respondents
G.6 Please select all the household members who supported the key person in answ
cons_food_none
Food cons: None
cons_food_item
H.1 In the last 7 days, did the members of this household eat/drink any of the f
cons_food_item_101
Maize ufa mgaiwa, refined, or madeya (normal, fine or bran flour)
cons_food_item_104
Maize grain (not as ufa)
cons_food_item_105
Green maize
cons_food_item_106
Rice
cons_food_item_107
Finger millet (mawere)
cons_food_item_108
Sorghum (mapira)
cons_food_item_109
Pearl millet (mchewere)
cons_food_item_110
Wheat flour
cons_food_item_111
Bread
cons_food_item_112
Buns, scones
cons_food_item_113
Biscuits
cons_food_item_114
Spaghetti, macaroni, pasta
cons_food_item_115
Breakfast cereal
cons_food_item_116
Infant feeding cereals
cons_food_item_117
Other cereals, grains and cereal products, specify
cons_food_item_201
Cassava tubers
cons_food_item_202
Cassava flour
cons_food_item_203
White sweet potato
cons_food_item_204
Orange sweet potato
cons_food_item_205
Irish potato
cons_food_item_206
Potato crips
cons_food_item_207
Plantain, cooking banana
cons_food_item_208
Cocoyam (masimbi)
cons_food_item_209
Other roots, tubers and plantains, specify
cons_food_item_301
Bean, white
cons_food_item_302
Bean, brown
cons_food_item_303
Pigeonpea (nandolo)
cons_food_item_304
Groundnut (Shelled)
cons_food_item_305
Groundnut - dried (Unshelled)
cons_food_item_306
Groundnut - fresh (Unshelled)
cons_food_item_307
Groundnut flour
cons_food_item_308
Soyabean flour
cons_food_item_309
Ground bean (nzama)
cons_food_item_310
Cowpea (khobwe)
cons_food_item_311
Macademia nuts
cons_food_item_312
Other nuts and pulses, specify
cons_food_item_402
Cabbage
cons_food_item_403
Tanaposi /Rape
cons_food_item_404
Nkhwani
cons_food_item_407
Gathered wild green leaves
cons_food_item_408
Tomato
cons_food_item_410
Pumpkin
cons_food_item_411
Okra / Therere
cons_food_item_414
Other vegetables, specify
cons_food_item_501
Eggs
cons_food_item_502
Dried fish
cons_food_item_503
Fresh fish
cons_food_item_504
Beef
cons_food_item_505
Goat
cons_food_item_506
Pork
cons_food_item_507
Mutton
cons_food_item_508
Chicken
cons_food_item_510
Small animal – rabbit, mice, etc.
cons_food_item_511
Termites, other insects (eg Ngumbi,
cons_food_item_512
caterpillar)
cons_food_item_516
Other meat, fish and animal, specify
cons_food_item_601
Mango
cons_food_item_602
Banana
cons_food_item_604
Pineapple
cons_food_item_605
Papaya
cons_food_item_606
Guava
cons_food_item_607
Avocado
cons_food_item_608
Wild fruit (masau, malambe, etc.)
cons_food_item_609
Apple
cons_food_item_610
Other fruits, specify
cons_food_item_801
Maize-boiled or roasted from vendors
cons_food_item_802
Chips from vendors
cons_food_item_803
Cassava boiled from vendors
cons_food_item_804
Boiled eggs from vendors
cons_food_item_805
Meat from vendors
cons_food_item_808
Mandazi, doughnut or samosa from vendor
cons_food_item_806
Boiled sweet potatoes
cons_food_item_816
Zikondamoyo / Nkate
cons_food_item_817
KALONGONDA (Mucuna)
cons_food_item_818
Other cooked food from vendors, specify
cons_food_item_701
Fresh milk
cons_food_item_703
Margarine - Blue band
cons_food_item_705
Chambiko - soured milk
cons_food_item_709
Other milk and milk products, specify
v594
Sugar
v595
Sugar Cane
v596
Cooking oil
v597
Other sugar, fats and oil, specify
cons_food_item_901
Tea
cons_food_item_906
Freezes (flavoured ice)
cons_food_item_907
Soft drinks (Coca-cola, Fanta, Sprite, etc.)
cons_food_item_908
Chibuku(commercial traditional-style beer)
cons_food_item_910
Maheu
cons_food_item_912
Thobwa
cons_food_item_913
Traditional beer (masese )
cons_food_item_915
Locally brewed liquor (kachasu )
cons_food_item_916
Other beverages, specify
cons_food_item_811
Spices
v608
Sweets
v609
Honey
v610
Other spices and miscellaneous, specify
cons_cereal_oth
H.1.a Please specify other cereals, grains and cereal products
cons_veg_oth
H.1.e Please specify other vegetables
cons_meat_oth
H.1.f Please specify other meat, fish and animal
cons_fruit_oth
H.1.g Please specify other fruits
cons_milk_oth
H.1.i Please specify other milk and milk products
cons_sugar_oth
H.1.j Please specify other sugar, fats and oil
cons_bev_oth
H.1.k Please specify other beverages
cons_spice_oth
H.1.l Please specify other spices and miscellaneous
cons_count
Calculate nb of food items consumed, last 7 days
cons_food_roster_count
Count for the food roster
setofcons_food_roster
SET-OF-cons_food_roster
cons_nf_week_none
Nf cons: None
cons_nf_item_week
H.5 In the last 7 days, has your household consumed or bought any of these items
cons_nf_item_week_1
Charcoal
cons_nf_item_week_2
Paraffin or kerosene
cons_nf_item_week_3
Cigarettes or other tobacco
cons_nf_item_week_4
Candles
cons_nf_item_week_5
Matches
cons_nf_item_week_6
Newspapers or magazines
cons_nf_item_week_7
Public transport - Bicycle Taxi
cons_nf_item_week_8
Public transport - Bus/Minibus
cons_nf_item_week_9
Public transport - Other (Truck, Oxcart, Etc..)
cons_nf_item_week_0
None of the above
cons_nf_week_count
Calculate: number of non-food items last 7 days
cons_nf_week_roster_count
Count for the weekly roster
setofcons_nf_week_roster
SET-OF-cons_nf_week_roster
cons_nf_month_none
Nf cons: None
cons_nf_item_month
H.9 In the last 30 days, has your household consumed or bought any of these item
cons_nf_item_month_1
Mobile data
cons_nf_item_month_2
Milling fees for grain (DO NOT RECORD GRAIN CONSUMPTION)
cons_nf_item_month_3
Bar soap (body soap or clothes soap)
cons_nf_item_month_4
Clothes soap (powder, paste)
cons_nf_item_month_5
Toothpaste, toothbrush
cons_nf_item_month_6
Toilet paper
cons_nf_item_month_7
Glycerine, Vaseline, skin creams
cons_nf_item_month_8
Other personal products (shampoo, razor blades, cosmetics, hair products, etc.)
cons_nf_item_month_9
Light bulbs
cons_nf_item_month_10
Postage stamps or other postal fees
cons_nf_item_month_11
Donation - to church, charity, beggar, etc.
cons_nf_item_month_12
Diesel
cons_nf_item_month_13
Petrol
cons_nf_item_month_14
Motor vehicle spare parts and accessories
cons_nf_item_month_15
Bicycle spare parts and accessories
cons_nf_item_month_16
Motor vehicle maintenance and repairs
cons_nf_item_month_17
Bicycle service maintenance and repairs
cons_nf_item_month_18
Wages paid to maids/househelps
cons_nf_item_month_19
Mortgage - regular payment to purchase house
cons_nf_item_month_20
Repairs & maintenance to dwelling
cons_nf_item_month_21
Repairs to household and personal items (radios, watches, etc., excluding batter
cons_nf_item_month_22
Expenditures on pets
cons_nf_item_month_23
Batteries (wireless and cell phones)
cons_nf_item_month_24
Recharging batteries, cell phones
cons_nf_item_month_25
Shoe polish
cons_nf_item_month_26
Hair dressing salons and barber shops
cons_nf_item_month_0
None of the above
cons_nf_month_count
Calculate number of non-food items, last 30 days
cons_nf_month_roster_count
Count for monthly non-food consumption roster
setofcons_nf_month_roster
SET-OF-cons_nf_month_roster
cons_dweeling_value
H.13 In the last 30 days, how much did you spend on dwelling rental?
cons_nf_trim_none
Nf cons: None
cons_nf_item_trim
H.14 In the last 3 months, has your household consumed or bought any of these it
cons_nf_item_trim_1
Infant clothing
cons_nf_item_trim_2
Baby nappies/diapers
cons_nf_item_trim_3
Boy's trousers
cons_nf_item_trim_4
Boy's shirts
cons_nf_item_trim_5
Boy's jackets
cons_nf_item_trim_6
Boy's undergarments
cons_nf_item_trim_7
Boy's other clothing
cons_nf_item_trim_8
Men's trousers
cons_nf_item_trim_9
Men's shirts
cons_nf_item_trim_10
Men's jackets
cons_nf_item_trim_11
Men's undergarments
cons_nf_item_trim_12
Men's other clothing
cons_nf_item_trim_13
Girl's blouse/shirt
cons_nf_item_trim_14
Girl's dress/skirt
cons_nf_item_trim_15
Girl's undergarments
cons_nf_item_trim_16
Girl's other clothing
cons_nf_item_trim_17
Lady's blouse/shirt
cons_nf_item_trim_18
Chitenje cloth
cons_nf_item_trim_19
Lady's dress/skirt
cons_nf_item_trim_20
Lady's undergarments
cons_nf_item_trim_21
Plastic Basin
cons_nf_item_trim_22
Lady's other clothing
cons_nf_item_trim_23
Boy's shoes
cons_nf_item_trim_24
Men's shoes
cons_nf_item_trim_25
Girl's shoes
cons_nf_item_trim_26
Lady's shoes
cons_nf_item_trim_27
Cloth, thread, other sewing material
cons_nf_item_trim_28
Laundry, dry cleaning, tailoring fees
cons_nf_item_trim_29
Bowls, glassware, plates, silverware, etc.
cons_nf_item_trim_30
Cooking utensils (cookpots, stirring spoons and whisks, etc.)
cons_nf_item_trim_31
Cleaning utensils (brooms, brushes, etc.)
cons_nf_item_trim_32
Torch / flashlight
cons_nf_item_trim_33
Umbrella
cons_nf_item_trim_34
Paraffin lamp (hurricane or pressure)
cons_nf_item_trim_35
Stationery items (not for school)
cons_nf_item_trim_36
Books (not for school)
cons_nf_item_trim_37
Music or video cassette or CD/DVD
cons_nf_item_trim_38
Tickets for sports / entertainment events
cons_nf_item_trim_39
House decorations
cons_nf_item_trim_40
Night's lodging in rest house
cons_nf_item_trim_41
Night's lodging in hotel
cons_nf_item_trim_42
Flask
cons_nf_item_trim_0
None
cons_nf_trim_count
Calculate number of non-food items, last 3 months
cons_nf_trim_roster_count
Count for the non-food three month roster
setofcons_nf_trim_roster
SET-OF-cons_nf_trim_roster
cons_nf_year_none
Nf cons: None
cons_nf_item_year
H.18 In the last 12 months, has your household consumed or bought any of these i
cons_nf_item_year_1
Carpet, rugs, drapes, curtains
cons_nf_item_year_2
Linen - towels, sheets, blankets
cons_nf_item_year_3
Mat - sleeping or for dying maize flour
cons_nf_item_year_4
Mosquito net
cons_nf_item_year_5
Mattress
cons_nf_item_year_6
Sports and hobby equipment, musical instruments, toys
cons_nf_item_year_7
Film, film processing, camera
cons_nf_item_year_8
Cement
cons_nf_item_year_9
Paint
cons_nf_item_year_10
Brick
cons_nf_item_year_11
Construction timber
cons_nf_item_year_12
Council rates
cons_nf_item_year_13
Insurance - health (MASM, etc.), auto, home, life
cons_nf_item_year_14
Losses to theft (value of items or cash lost)
cons_nf_item_year_15
Fines or legal fees
cons_nf_item_year_16
Lobola (bridewealth) costs
cons_nf_item_year_17
Funeral costs, household members
cons_nf_item_year_18
Funeral costs, nonhousehold members (relatives, neighbours)
cons_nf_item_year_19
Woodpoles, bamboo
cons_nf_item_year_20
Grass for thatching roof or other use
cons_nf_item_year_0
None of the above
cons_nf_year_count
Calculate number of non-food items consumed, last 12 months
cons_nf_year_roster_count
Count for the year non-food roster
setofcons_nf_year_roster
SET-OF-cons_nf_year_roster
foodsec_group
H.22 Over the last 7 days, did you or others in your household consume any of th
foodsec_group_1
Cereals, Grains and Cereal Products
foodsec_group_2
Roots, Tubers, and Plantains
foodsec_group_3
Pulses, Nuts and seeds
foodsec_group_4
Vegetables
foodsec_group_5
Meat and Animal Products
foodsec_group_6
Fish and seafoods
foodsec_group_7
Eggs
foodsec_group_8
Fruits
foodsec_group_9
Milk/Milk Products
foodsec_group_10
Fats/Oil
foodsec_group_11
Sugar/Sugar Products/Honey
foodsec_group_12
Spices/Condiments
foodsec_count
Calculate: number of food groups consumed, last 7 days
foodsec_roster_count
Food security roster count
setoffoodsec_roster
SET-OF-foodsec_roster
foodsec_fies_worried
H.25 During the last 12 MONTHS, was there a time when you were worried you would
foodsec_fies_unable
H.26 Still thinking about the last 12 MONTHS, was there a time when you were una
foodsec_fies_few
H.27 Still thinking about the last 12 MONTHS, was there a time when you ate only
foodsec_fies_mealskip
H.28 Still thinking about the last 12 MONTHS, was there a time when you had to s
foodsec_fies_less
H.29 Still thinking about the last 12 MONTHS, was there a time when you ate less
foodsec_fies_runout
H.30 Still thinking about the last 12 MONTHS, was there a time when your househo
foodsec_fies_hungry
H.31 Still thinking about the last 12 MONTHS, was there a time when you were hun
foodsec_fies_dayskip
H.32 During the last 12 MONTHS, was there a time when you went without eating fo
foodsec_months
H.33 You mentioned earlier that there was a time when you had to skip a meal bec
foodsec_months_1
January
foodsec_months_2
February
foodsec_months_3
March
foodsec_months_4
April
foodsec_months_5
May
foodsec_months_6
June
foodsec_months_7
July
foodsec_months_8
August
foodsec_months_9
September
foodsec_months_10
October
foodsec_months_11
November
foodsec_months_12
December
modh_support
H.34 ENUMERATOR: Did the key person need support from another person to complete
modh_respondents
H.35. Please select all the household members who supported the key person in an
fin_savings_none
Food cons: None
fin_savings_type
I.1 Does your household have savings in the following place/institution?
fin_savings_type_1
SACCO
fin_savings_type_2
Saving & Loans Group (SLG)
fin_savings_type_3
Cooperative
fin_savings_type_4
Association
fin_savings_type_5
MFI
fin_savings_type_6
Bank
fin_savings_type_7
Employer
fin_savings_type_8
Store owner
fin_savings_type_9
Mobile money
fin_savings_type_10
Friend
fin_savings_type_11
Family member outside the household
fin_savings_type_12
At home (in secret place or box, carried with them in clothes, bag, pocket), etc
fin_savings_type__66
Refused to answer
fin_savings_type_0
None
fin_savings_count
Number of financial savings institutions
saving_account_count
Count for savings account
setofsaving_account
SET-OF-saving_account
fin_vlsa_part
I.10 Does your household currently participate in a VSLA/ROSCA/SLG?
fin_vlsa_count
I.11 How many VSLA/ROSCA/SLG do your household currently participate in?
fin_vlsa_roster_count
Count for finance SLG/VLSA roster
Total: 904
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