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WBG

Somali High Frequency Survey - December 2017, Wave 2

Somalia, 2017 - 2018
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Reference ID
WBG_SOM_2017_SHFS-W2_v02_M
Producer(s)
Utz J. Pape
Collections
The World Bank Microdata Library
Metadata
Documentation in PDF DDI/XML JSON
Created on
Sep 22, 2021
Last modified
Sep 22, 2021
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Item name (itemlabel1)

Data file: Input food_units_bands

Overview

Valid: 666
Invalid: 0
Type: Discrete
Start: 5
End: 64
Width: 60
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Apples, pears 6
0.9%
Baby foods excluding milk 7
1.1%
Baker's vanilla (carfiso buskut) 9
1.4%
Barley and other cereals 9
1.4%
Beans, dry 7
1.1%
Begel 1
0.2%
Bell pepper 7
1.1%
Biscuits 5
0.8%
Bones sauce 5
0.8%
Bottled soft drinks 5
0.8%
Bread 3
0.5%
Breakfast 1
0.2%
Buns, cakes, small bread etc. 3
0.5%
Butter or margarine 3
0.5%
Cabbage 7
1.1%
Canned and bottled juices and squashes 6
0.9%
Canned fish/shellfish 7
1.1%
Canned fruits 4
0.6%
Canned meat 7
1.1%
Canned sweetcorn 6
0.9%
Canned vegetables 6
0.9%
Cardamom (heyl) 7
1.1%
Carrots 6
0.9%
Cattle meat (including mince sausages) 9
1.4%
Cheese 4
0.6%
Cinnamon (qarfo) 6
0.9%
Clove (dhago yare) 6
0.9%
Coconut cooking oil 8
1.2%
Coffee (beans, ground, or instant) 7
1.1%
Cooking bananas, plantains 4
0.6%
Cooking oats, corn flakes 5
0.8%
Cream 3
0.5%
Cucumber 6
0.9%
Curry powder 7
1.1%
Dates - import (timir) 5
0.8%
Dinner 1
0.2%
Dried or salted fish/shellfish 5
0.8%
Dried vegetables 9
1.4%
Eggplant/brinjal 6
0.9%
Eggs 3
0.5%
Foster Powder 3
0.5%
Fresh camel 4
0.6%
Fresh chicken - local 6
0.9%
Fresh fish 3
0.5%
Fresh fruit juices, ice cream and other non-alcoholic drinks 6
0.9%
Frozen chicken - import 1
0.2%
Garlic 7
1.1%
Ginger (zanjabiil) 5
0.8%
Goat or sheep 9
1.4%
Grapefruits, lemons, guavas, limes 12
1.8%
Green maize cob 8
1.2%
Groundnuts in shell 5
0.8%
Honey 5
0.8%
Ketchup 7
1.1%
Lady's fingers/okra 6
0.9%
Leeks 7
1.1%
Lentils and other pulse products 7
1.1%
Lettuce 7
1.1%
Lunch 1
0.2%
Macaroni, spaghetti 6
0.9%
Maize, flour 8
1.2%
Maize, grain 9
1.4%
Mangoes, avocado pears 12
1.8%
Mayonnaise 7
1.1%
Melons 6
0.9%
Milk 11
1.7%
Milk Powder 6
0.9%
Millet, flour 8
1.2%
Millet, grain 7
1.1%
Offal (liver, kidney) 4
0.6%
Olive oil 8
1.2%
Onion 6
0.9%
Oranges/tangerines 6
0.9%
Other cereals, grains and cereal products (specify) 1
0.2%
Other cooking oil 8
1.2%
Other domesticated animals 13
2%
Paddy 8
1.2%
Parsley - local (kabasr caleen) 6
0.9%
Pawpaw 6
0.9%
Peas, dry 7
1.1%
Pineapples 6
0.9%
Potatoes 7
1.1%
Pumpkin 6
0.9%
Purchased/prepared meals consumed at home 1
0.2%
Purchased/prepared tea/coffee consumed at home 5
0.8%
Radishes, beets, turnips 6
0.9%
Red or black pepper 7
1.1%
Rice, husked 9
1.4%
Salt 7
1.1%
School meals 1
0.2%
Sesame or sunflower oil 8
1.2%
Sorghum, flour 8
1.2%
Sorghum, grain 6
0.9%
Spinach 7
1.1%
Sugar 6
0.9%
Sugar canes 5
0.8%
Sweet/ripe bananas 5
0.8%
Syrup, jams, marmalade, jellies, chocolate, sweets 12
1.8%
Tea (leaves) 7
1.1%
Tea, coffee, soft drinks 6
0.9%
Tomatoes 8
1.2%
Vimto (squash) 3
0.5%
Vinegar 5
0.8%
Water bottles/container 5
0.8%
Wheat, flour 8
1.2%
Wheat, grain 9
1.4%
White beans 7
1.1%
Wild birds and insects 5
0.8%
Yeast, baking powder 5
0.8%
Yoghurt 3
0.5%
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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