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    Home / Central Data Catalog / MWI_2013_MRLS-R2_V01_M / variable [F83]
central

Rural Livelihood Survey 2012-2013

Malawi, 2013
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Reference ID
MWI_2013_MRLS-R2_v01_M
Producer(s)
Malawi Government National Statistics Office
Metadata
DDI/XML JSON
Created on
Mar 29, 2019
Last modified
Mar 29, 2019
Page views
24501
  • Study Description
  • Data Dictionary
  • Get Microdata
  • Data files
  • ag_c_dr2
  • ag_er2
  • ag_filterr2
  • ag_hr2
  • cmty_coverr2
  • cmty_hhfollowupr2
  • cmty_pricesr2
  • hh_ar2
  • hh_b_c_d_er2
  • hh_e_cal_ganyur2
  • hh_e_caldayr2
  • hh_g1r2
  • hh_g2r2
  • hh_g3r2
  • hh_hr2
  • hh_i1r2
  • hh_i2r2
  • hh_jr2
  • hh_lr2
  • hh_mr2
  • hh_q1r2
  • hh_q2r2
  • hh_rr2
  • hh_sa_cal1r2
  • hh_sa_cal2r2
  • hh_sa1r2
  • hh_sa2r2
  • hh_sb_cal1r2
  • hh_sb_cal2r2
  • hh_sb1r2
  • hh_sb2r2
  • hh_ur2
  • hh_yr2

Goods Description (hh_g0a)

Data file: hh_g1r2

Overview

Valid: 33192
Invalid: 0
Type: Discrete
Start: 12
End: 46
Width: 35
Format:

Questions and instructions

Categories
Value Category
1PACKET OF SOYA PIECES
23 PKT SOYA PIECES
3NGULUWE
ATONDIDO
Apple
Avocado
BLANK
Banana
Bean, brown
Bean, white
Beef
Beverages
Biscuits
Bottled / canned beer (Carlsberg, e
Bottled water
Bread
Breakfast cereal
Buns, scones
Butter
CASSAVA FLOUR
CHIDULO
CHIDULO .
CHIGUMU
CHINESE VEGETABLES
CHIPULO
CHIPWETE
CHISOSO
CHITAMBE
CHITUMBUWA
CUCUMBER LEAVES .
CUCUMBER LEAVES.
CUCUMBER'S
CUCUMBER'S .
CUCUMBERS
Cabbage
Cassava - boiled (vendor)
Cassava flour
Cassava tubers
Cereals, Grains and Cereal Products
Chambiko - soured milk
Cheese
Chibuku (commercial traditional-sty
Chicken
Chicken (vendor)
Chinese cabbage
Chips (vendor)
Citrus _ naartje, orange, etc.
Cocoa, millo
Cocoyam (masimbi)
Coffee
Cooked Foods from Vendors
Cooking oil
Cowpea (khobwe)
Cucumber
DENJE
DZENJE
Dried fish
EGG PLANT
Eggs
Eggs - boiled (vendor)
Finger millet (mawere)
Fish (vendor)
Fish Soup/Sauce
Freezes (flavoured ice)
Fresh fish
Fresh milk
Fruit juice
Fruits
GRANADILAS
GRASS USE AS TEA LEAVES
Gathered wild green leaves
Goat
Green maize
Ground bean (nzama)
Groundnut
Groundnut flour
Guava
Honey
Hot sauce (Nali, etc.)
Infant feeding formula (for bottle)
Irish potato
JOLLYJUS
KALONGONDA
KAM'MWAMBA
KAMBA
KATIMBE\
KHWANYA ,BEANS LEAVES
LUNI
Locally brewed liquor (kachasu)
MASUKU
MFUTSO
MIKATE MCHEWERE
MIPOZA
MKHAKA
MOMBEza madzi matowo amadzi
MPHONDA
MSANGUWA
MSEULA
MTHUZA
Macademia nuts
Maheu
Maize - boiled or roasted (vendor)
Maize grain (not as ufa)
Maize ufa madeya (bran flour)
Maize ufa mgaiwa (normal flour)
Maize ufa refined (fine flour)
Mandazi, doughnut (vendor)
Mango
Margarine - Blue band
Meal eaten at restaurant
Meat (vendor)
Meat, Fish and Animal products
Milk and Milk Products
Mushroom
Mutton
NANAZI
NDILOLI
NKHAKA
NKHAKA .
NKHANU
NKHWANYA
NSEULA
NSEULA .
Nkhwani
Nuts and Pulses
Okra / Therere
Onion
Orange sweet potato
Other (specify)
Other cultivated green leafy vegeta
Other fruits (specify)
Other poultry - guinea fowl, doves,
Other vegetables (Specify)
Papaya
Pearl millet (mchewere)
Pigeonpea (nandolo)
Pineapple
Plantain, cooking banana
Pork
Potato crisps
Powdered milk
Pumpkin
RICE
Rice
Roots, Tubers, and Plantains
SACHET
SACHETS SPIRIT
SATCHET
SATCHETS SPRITIS
SATCHET\
SORGHUM FLOUR.
SORGHUM FLOUR.\
SORGHUM FLOUR .
SORGHUM FLOUR
SOYA PIECIES .
SOYA PIECES
SOYA PIECES
SPIRIT SACHETS .
SPIRIT SACHETS
STRAW BERRIES
Salt
Samosa (vendor)
Small animal _ rabbit, mice, etc.
Smoked fish
Soft drinks (Coca-cola, Fanta, Spri
Sorghum (mapira)
Soyabean flour
Spaghetti, macaroni, pasta
Spices
Spices & Miscellaneous
Squash (Sobo drink concentrate)
Sugar
Sugar Cane
Sugar, Fats, and Oil
Sweets, candy, chocolates
TSEULA
Tanaposi/Rape
Tea
Termites, other insects (eg Ngumbi,
Thobwa
Tinned meat or fish
Tinned vegetables (Specify)
Tomato
Tomato sauce (bottle)
Traditional beer (masese)
Vegetables
WILD ANIMAL
Wheat flour
White sweet potato
Wild fruit (masau, malambe, etc.)
Wine or commercial liquor
Yeast, baking powder, bicarbonate o
Yoghurt
ZIGUIMU
ZIGUMU
ZIPWETE
ZITHEBA .
ZITUMBUWA
ZITUMBUWA .
ZITUMBUWA\
nkhaka
they DID NOT SPECIFY
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.
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