Home / Central Data Catalog / MWI_2010-2019_IHPS_V06_M / variable [F396]
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Integrated Household Panel Survey 2010-2013-2016-2019 (Long-Term Panel, 102 EAs)

Malawi, 2010 - 2019
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Reference ID
MWI_2010-2019_IHPS_v06_M
Producer(s)
National Statistical Office (NSO)
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jul 19, 2023
Page views
190805
Downloads
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Item Desription (item_name)

Data file: caloric_conversionfactor

Overview

Valid: 142
Invalid: 0
Type: Discrete
Start: 1
End: 39
Width: 39
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Apple 1
0.7%
Avocado 1
0.7%
Banana 1
0.7%
Bean, brown 1
0.7%
Bean, white 1
0.7%
Beef 1
0.7%
Biscuits 1
0.7%
Boiled Sweet potatoes 1
0.7%
Boiled groundnuts 1
0.7%
Bottled water 1
0.7%
Bottled/ canned beer 1
0.7%
Bread 1
0.7%
Breakfast cereal 1
0.7%
Buns, scones 1
0.7%
Butter 1
0.7%
Cabbage 1
0.7%
Cassava - boiled (vendor) 1
0.7%
Cassava flour 1
0.7%
Cassava tubers 1
0.7%
Chambiko - soured milk 1
0.7%
Cheese 1
0.7%
Chibuku/ Napolo 1
0.7%
Chicken 1
0.7%
Chicken (vendor) 1
0.7%
Chinese cabbage 1
0.7%
Chips (vendor) 1
0.7%
Citrus, naartje, orange, etc. 1
0.7%
Cocoa, milo 1
0.7%
Cocoyam (masimbi) 1
0.7%
Coffee (powder) 1
0.7%
Cooking oil 1
0.7%
Cowpea (khobwe) 1
0.7%
Cucumber 1
0.7%
Dried fish 1
0.7%
Eggs 1
0.7%
Eggs - boiled (vendor) 1
0.7%
Finger millet 1
0.7%
Fish (vendor) 1
0.7%
Fish soup/sauce 1
0.7%
Freezes (flavoured ice) 1
0.7%
Fresh fish 1
0.7%
Fresh fish (Large Variety) 1
0.7%
Fresh fish (Medium Variety) 1
0.7%
Fresh fish (Small Variety) 1
0.7%
Fresh milk 1
0.7%
Fruit juice 1
0.7%
Gathered wild green leaves 1
0.7%
Goat 1
0.7%
Green maize 1
0.7%
Ground bean 1
0.7%
Groundnut 1
0.7%
Groundnut (Shelled) 1
0.7%
Groundnut Dried (Unshelled) 1
0.7%
Groundnut Fresh (Unshelled) 1
0.7%
Groundnut flour 1
0.7%
Guava 1
0.7%
Honey 1
0.7%
Hot sauce (nali, etc.) 1
0.7%
Infant feeding cereals 1
0.7%
Infant feeding formula 1
0.7%
Irish potato 1
0.7%
Jam, jelly, honey 1
0.7%
Kalongonda (Mucuna) 1
0.7%
Local sweet beer (thobwa) 1
0.7%
Locally brewed liquor 1
0.7%
Macademia nuts 1
0.7%
Maheu 1
0.7%
Maize - boiled or roasted 1
0.7%
Maize grain (not as ufa) 1
0.7%
Maize ufa madeya (bran flour) 1
0.7%
Maize ufa mgaiwa (normal flour) 1
0.7%
Maize ufa refined (fine flour) 1
0.7%
Mandazi, doughnut (vendor) 1
0.7%
Mango 1
0.7%
Margarine 1
0.7%
Meat (vendor) 1
0.7%
Meat eaten at restaurant 1
0.7%
Mushrooms 1
0.7%
Mutton 1
0.7%
Nkwani 1
0.7%
Okra / Therere 1
0.7%
Onion 1
0.7%
Orange sweet potato 1
0.7%
Other beverages 1
0.7%
Other cereals 1
0.7%
Other cooked foods 1
0.7%
Other cultivated green leafy vegetable 1
0.7%
Other fats and oil 1
0.7%
Other fruits 1
0.7%
Other meat fish and animal product 1
0.7%
Other milk and milk products 1
0.7%
Other poultry-guinea fowl, doves 1
0.7%
Other pulses 1
0.7%
Other roots and tubers 1
0.7%
Other spices/ miscellaneous 1
0.7%
Other vegetable 1
0.7%
Papaya 1
0.7%
Pearl millet 1
0.7%
Pigeon pea (nandolo) 1
0.7%
Pineapple 1
0.7%
Plantain, cooking banana 1
0.7%
Popcorn 1
0.7%
Pork 1
0.7%
Potato crisps 1
0.7%
Powdered milk 1
0.7%
Pumpkin 1
0.7%
Rice 1
0.7%
Roasted groundnuts 1
0.7%
Roasted sweet potatoes 1
0.7%
Salt 1
0.7%
Samosa (vendor) 1
0.7%
Small animal- rabbit, mice 1
0.7%
Smoked fish (Large Variety) 1
0.7%
Smoked fish (Medium Variety) 1
0.7%
Smoked fish (Small Variety) 1
0.7%
Soft drinks (coca cola, fanta) 1
0.7%
Sorghum 1
0.7%
Soyabean flour 1
0.7%
Spaghetti, macaroni, pasta 1
0.7%
Spices 1
0.7%
Squash (sobo drink concentrate) 1
0.7%
Sugar 1
0.7%
Sugar cane 1
0.7%
Sun Dried fish (Large Variety) 1
0.7%
Sun Dried fish (Medium Variety) 1
0.7%
Sun Dried fish (Small Variety) 1
0.7%
Sweets, candy, chocolates 1
0.7%
Tanaposi rape 1
0.7%
Tea (leaves) 1
0.7%
Termites, other insect 1
0.7%
Tinned meat or fish 1
0.7%
Tinned vegetables 1
0.7%
Tomato 1
0.7%
Tomato sauce (bottle) 1
0.7%
Traditional beer (masese) 1
0.7%
Wheat flour 1
0.7%
White sweet potato 1
0.7%
Wild fruit (masau, mlambe, etc.) 1
0.7%
Wine or commercial liquor 1
0.7%
Yeast, baking powder, bicarbonate of so 1
0.7%
Yoghurt 1
0.7%
Zikondamoyo/Nkate 1
0.7%
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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