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    Home / Central Data Catalog / SOM_2013_SHS_V01_M_V01_A_SHFS / variable [V20]
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Somaliland Household Survey 2013
Adapted for the Somali High Frequency Survey

Somalia, 2013
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Reference ID
SOM_2013_SHS_v01_M_v01_A_SHFS
Producer(s)
The World Bank Group
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 13, 2017
Last modified
Jul 21, 2023
Page views
889757
Downloads
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  • 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

Food consuption (S5_FOOD_CONSUPTION)

Data file: Input data_f_proc

Overview

Valid: 189060
Invalid: 0
Type: Discrete
Start: 20
End: 39
Width: 20
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Almonds and other nu 1725
0.9%
Apples, pears 1725
0.9%
Baby foods excluding 1725
0.9%
Barley and other cer 1725
0.9%
Beans, dry 1725
0.9%
Biscuits 1725
0.9%
Bones souce 1656
0.9%
Bottled Soft Drinks 1725
0.9%
Bread 1725
0.9%
Breakfast 1725
0.9%
Buns, cakes, small b 1725
0.9%
Butter, Margarine 1725
0.9%
Cabbage 1656
0.9%
Canned and bottled j 1725
0.9%
Canned fish/shellfis 1725
0.9%
Canned fruits 1725
0.9%
Canned meat 1725
0.9%
Canned milk 1725
0.9%
Canned vegetables 1656
0.9%
Carrots 1725
0.9%
Cashewnuts 1725
0.9%
Cattle meat, incl. M 1725
0.9%
Cheese 1725
0.9%
Chicken and other po 1725
0.9%
Cocoa, cooking choco 1725
0.9%
Coconut cooking oil 1725
0.9%
Coconuts 1725
0.9%
Coffee (beans, groun 1725
0.9%
Cooking bananas, pla 1725
0.9%
Cooking oats, corn f 1725
0.9%
Cream 1725
0.9%
Cucumber/pumpkins 1656
0.9%
Curry Powder 1725
0.9%
Dinner 1725
0.9%
Dried fruits 1725
0.9%
Dried or salted fish 1725
0.9%
Dried or salted meat 1725
0.9%
Dried vegetables 1656
0.9%
Eggplant/Brinjal 1656
0.9%
Eggs 1725
0.9%
Fresh fish 1725
0.9%
Fresh fruit juices, 1725
0.9%
Garlic 1725
0.9%
Goat/Sheep 1725
0.9%
Grapefruits, lemons, 1725
0.9%
Green maize cob 1725
0.9%
Groundnuts in shell 1725
0.9%
Groundnuts shelled 1725
0.9%
Honey 1725
0.9%
Jack fruit 1725
0.9%
Ladies finger/okra 1656
0.9%
Leeks 1725
0.9%
Lentils and other pu 1725
0.9%
Lettuce 1725
0.9%
Lunch 1725
0.9%
Macaroni, spaghetti 1725
0.9%
Maize, flour 1725
0.9%
Maize, grain 1725
0.9%
Mangoes, avocado pea 1725
0.9%
Melons 1725
0.9%
Milk 1725
0.9%
Milk Powder 1725
0.9%
Millet, flour 1725
0.9%
Millet, grain 1725
0.9%
Offal (liver, kidney 1725
0.9%
Onion 1725
0.9%
Oranges/tangerines 1725
0.9%
Other 'Cooked Foods 1725
0.9%
Other 'Roots, Tubers 1725
0.9%
Other Beverages(spec 1725
0.9%
Other Cereals, Grain 1725
0.9%
Other Spices 1725
0.9%
Other cooking oil 1725
0.9%
Other domesticated a 1725
0.9%
Other leafy vegetabl 1656
0.9%
Other vegetables (sp 1656
0.9%
Paddy 1725
0.9%
Pawpaw 1725
0.9%
Peas, dry 1725
0.9%
Pineapples 1725
0.9%
Potatoes 1725
0.9%
Pulse products 1725
0.9%
Purchased/prepared m 1725
0.9%
Purchased/prepared t 1725
0.9%
Radhishes, beets, tu 1725
0.9%
Red/Black Pepper 1725
0.9%
Rice, husked 1725
0.9%
Rock Salt 1725
0.9%
Salt 1725
0.9%
School meals 1725
0.9%
Sesame/Sunflower oil 1725
0.9%
Sorghum, flour 1725
0.9%
Sorghum, grain 1725
0.9%
Spinach 1725
0.9%
Sugar 1725
0.9%
Sugar canes 1725
0.9%
Sweet/ripe bananas 1725
0.9%
Syrup, jams, marmala 1725
0.9%
Tea 1725
0.9%
Tea, coffee, soft dr 1725
0.9%
Tomatoes 1656
0.9%
Vinegar 1725
0.9%
Water bottles/contai 1725
0.9%
Wheat, flour 1725
0.9%
Wheat, grain 1725
0.9%
White beans 1725
0.9%
Wild animals 1725
0.9%
Wild birds and insec 1725
0.9%
Yeast, baking powder 1725
0.9%
Yoghurt 1725
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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