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    Home / Central Data Catalog / SOM_2012_SHS_V01_M_V01_A_SHFS / variable [F5]
central

Somaliland Household Survey 2013, Adapted for the Somali High Frequency Survey

Somalia, 2013
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Reference ID
SOM_2012_SHS_v01_M_v01_A_SHFS
Producer(s)
The World Bank Group
Metadata
DDI/XML JSON
Created on
Jun 26, 2017
Last modified
Jun 26, 2017
Page views
97817
Downloads
852
  • Study Description
  • Data Dictionary
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  • Data files
  • Input
    data_12_proc_for_later
  • Input
    data_f_proc
  • Input
    data_nf_proc
  • Input hh
  • Input kcalcoeff
  • Input
    sl_adept_all
  • Output hh
  • Output hhm

foodidstr (foodidstr)

Data file: Input kcalcoeff

Overview

Valid: 110
Invalid: 0
Type: Discrete
Start: 4
End: 63
Width: 60
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Almonds and other nuts 1
0.9%
Apples, pears 1
0.9%
Baby foods excluding milk 1
0.9%
Barley and other cereals 1
0.9%
Beans, dry 1
0.9%
Biscuits 1
0.9%
Bones souce 1
0.9%
Bottled Soft Drinks 1
0.9%
Bread 1
0.9%
Breakfast 1
0.9%
Buns, cakes, small bread etc. 1
0.9%
Butter, Margarine 1
0.9%
Cabbage 1
0.9%
Canned and bottled juices and squashes 1
0.9%
Canned fish/shellfish 1
0.9%
Canned fruits 1
0.9%
Canned meat 1
0.9%
Canned milk 1
0.9%
Canned vegetables 1
0.9%
Carrots 1
0.9%
Cashewnuts 1
0.9%
Cattle meat, incl. Mince sausages 1
0.9%
Cheese 1
0.9%
Chicken and other poultry 1
0.9%
Cocoa, cooking chocolate 1
0.9%
Coconut cooking oil 1
0.9%
Coconuts 1
0.9%
Coffee (beans, ground, instant) 1
0.9%
Cooking bananas, plantains 1
0.9%
Cooking oats, corn flakes 1
0.9%
Cream 1
0.9%
Cucumber/pumpkins 1
0.9%
Curry Powder 1
0.9%
Dinner 1
0.9%
Dried fruits 1
0.9%
Dried or salted fish/shellfish 1
0.9%
Dried or salted meat 1
0.9%
Dried vegetables 1
0.9%
Eggplant/Brinjal 1
0.9%
Eggs 1
0.9%
Fresh fish 1
0.9%
Fresh fruit juices, ice cream and other non-alcoholic drinks 1
0.9%
Garlic 1
0.9%
Goat/Sheep 1
0.9%
Grapefruits, lemons, guavas, limes 1
0.9%
Green maize cob 1
0.9%
Groundnuts in shell 1
0.9%
Groundnuts shelled 1
0.9%
Honey 1
0.9%
Jack fruit 1
0.9%
Ladies finger/okra 1
0.9%
Leeks 1
0.9%
Lentils and other pulse products 1
0.9%
Lettuce 1
0.9%
Lunch 1
0.9%
Macaroni, spaghetti 1
0.9%
Maize, flour 1
0.9%
Maize, grain 1
0.9%
Mangoes, avocado pears 1
0.9%
Melons 1
0.9%
Milk 1
0.9%
Milk Powder 1
0.9%
Millet, flour 1
0.9%
Millet, grain 1
0.9%
Offal (liver, kidney) 1
0.9%
Onion 1
0.9%
Oranges/tangerines 1
0.9%
Other (specify) 4
3.6%
Other Spices 1
0.9%
Other cooking oil 1
0.9%
Other domesticated animals 1
0.9%
Other leafy vegetables 1
0.9%
Other vegetables (specify) 1
0.9%
Paddy 1
0.9%
Papaya 1
0.9%
Peas, dry 1
0.9%
Pineapples 1
0.9%
Potatoes 1
0.9%
Pulse products 1
0.9%
Purchased/prepared meals consumed at home 1
0.9%
Purchased/prepared tea/coffee consumed at home 1
0.9%
Radhishes, beets, turnips 1
0.9%
Red/Black Pepper 1
0.9%
Rice, husked 1
0.9%
Rock Salt 1
0.9%
Salt 1
0.9%
School meals 1
0.9%
Sesame/Sunflower oil 1
0.9%
Sorghum, flour 1
0.9%
Sorghum, grain 1
0.9%
Spinach 1
0.9%
Sugar 1
0.9%
Sugar canes 1
0.9%
Sweet/ripe bananas 1
0.9%
Syrup, jams, marmalade, jellies, chocolate, sweets 1
0.9%
Tea 1
0.9%
Tea, coffee, soft drinks 1
0.9%
Tomatoes 1
0.9%
Vinegar 1
0.9%
Water bottles/container 1
0.9%
Wheat, flour 1
0.9%
Wheat, grain 1
0.9%
White beans 1
0.9%
Wild animals 1
0.9%
Wild birds and insects 1
0.9%
Yeast, baking powder 1
0.9%
Yoghurt 1
0.9%
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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