Somali High Frequency Survey - December 2017, Wave 2

Somalia, 2017 - 2018

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Reference ID

SOM_2017_SHFS-W2_v02_M

Producer(s)

Utz J. Pape

Metadata

DDI/XML JSON

Created on

Sep 19, 2018

Last modified

Sep 19, 2018

Page views

54553

Downloads

263

Food ID (itemid)

Data file: Output food

Overview

Valid: 538940

Invalid: 0

Minimum: 1

Maximum: 114

Type: Discrete

Decimal: 0

Start: 37

End: 39

Width: 3

Range: 1 - 114

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
1	Paddy, Basmati	5145	1%
2	Rice, husked	5145	1%
3	Green maize cob	4580	0.8%
4	Maize, grain	4895	0.9%
5	Maize, flour	5145	1%
6	Millet, grain	4632	0.9%
7	Millet, flour	5145	1%
8	Sorghum, grain	4578	0.8%
9	Sorghum, flour	5145	1%
10	Wheat, grain	4632	0.9%
11	Wheat, flour	4895	0.9%
12	Barley	4572	0.8%
13	Bread	5145	1%
14	Biscuits	5145	1%
15	Buns and cakes	4066	0.8%
16	Cooking oats, corn flakes	4887	0.9%
17	Macaroni, spaghetti	5145	1%
18	Chapati	5145	1%
19	Goat or sheep meat	5145	1%
20	Cattle meat (including mince sausages)	5145	1%
21	Dried meat, plain or chopped (Muqamad/Luqmad)	4083	0.8%
22	Offal (liver, kidney)	4895	0.9%
23	Canned meat	4078	0.8%
24	Wild birds and insects	4557	0.8%
25	Bones sauce	4558	0.8%
26	Fresh camel meat	5145	1%
27	Fresh chicken - local	4892	0.9%
28	Frozen chicken - import	4631	0.9%
29	Fresh fish	4632	0.9%
30	Dried or salted fish/shellfish	4081	0.8%
31	Canned fish/shellfish	5145	1%
32	Groundnuts in shell, cashewnuts, and almonds	4621	0.9%
33	Sweet/ripe bananas	5145	1%
34	Oranges/tangerines	4573	0.8%
35	Grapefruits	4894	0.9%
36	Lemons, guavas, limes	4895	0.9%
37	Mangoes	4083	0.8%
38	Avocados	4053	0.8%
39	Pawpaw	4082	0.8%
40	Pineapples	4894	0.9%
41	Melons	4632	0.9%
42	Apples and pears	4668	0.9%
43	Canned fruits	4887	0.9%
44	Dates - import (timir)	5145	1%
45	Potatoes	5145	1%
46	Cooking bananas, plantains	4545	0.8%
47	Peas, dry	5145	1%
48	Beans, dry	5145	1%
49	Lentils	4083	0.8%
50	White beans	5145	1%
51	Carrots	5145	1%
52	Radishes and beets	5145	1%
53	Garlic	5145	1%
54	Onion	5145	1%
55	Leeks	4889	0.9%
56	Spinach	4457	0.8%
57	Lettuce	5145	1%
58	Cabbage	4075	0.8%
59	Tomatoes	5145	1%
60	Lady's fingers/okra	4058	0.8%
61	Eggplant/brinjal	4551	0.8%
62	Canned vegetables	4861	0.9%
63	Dried vegetables	4513	0.8%
64	Cucumber	4053	0.8%
65	Pumpkin	4631	0.9%
66	Bell pepper	4558	0.8%
67	Begel	4558	0.8%
68	Canned sweetcorn	4074	0.8%
69	Ginger (zanjabiil)	4563	0.8%
70	Eggs	4578	0.8%
71	Yoghurt	4597	0.9%
72	Cream	4572	0.8%
73	Cheese	3905	0.7%
74	Cow milk (fresh or pasteurized)	5145	1%
75	Camel milk	5145	1%
76	Milk Powder	5145	1%
77	Sesame or sunflower oil	4572	0.8%
78	Coconut oil	4631	0.9%
79	Butter or margarine	4572	0.8%
80	Cooking oil (vegetable)	5145	1%
81	Olive oil	5145	1%
82	Canned and bottled juices and squashes	5145	1%
83	Vimto (squash)	4895	0.9%
84	Sugar canes	4882	0.9%
85	Sugar	5145	1%
86	Honey	4894	0.9%
87	Syrup, jams, marmalade, jellies	4060	0.8%
88	Chocolate and sweets	4060	0.8%
89	Baby foods excluding milk	4075	0.8%
90	Salt	5145	1%
91	Red or black pepper	4547	0.8%
92	Curry powder	4827	0.9%
93	Vinegar	4476	0.8%
94	Yeast, baking powder	4302	0.8%
95	Baker's vanilla (carfiso buskut)	4577	0.8%
96	Cardamom (heyl)	4630	0.9%
97	Cinnamon (qarfo)	4626	0.9%
98	Clove (dhago yare)	4610	0.9%
99	Foster Powder	4068	0.8%
100	Ketchup	4840	0.9%
101	Mayonnaise	4522	0.8%
102	Parsley - local (kabasr caleen)	4078	0.8%
103	Tea (leaves)	5145	1%
104	Coffee (beans, ground, or instant)	4538	0.8%
105	Bottled soft drinks	4889	0.9%
106	Water bottles/container	4619	0.9%
107	Fresh fruit juices	4869	0.9%
108	Breakfast from restaurant or vendor (outside the home)	5145	1%
109	Lunch from restaurant or vendor (outside the home)	5145	1%
110	Dinner from restaurant or vendor (outside the home)	5145	1%
111	Liquid tea, coffee, or soft drinks from restaurants or vendors	5145	1%
112	Liquid tea, coffee, soft drinks (from vendors and restaurants) consumed at home	4676	0.9%
113	Take-out meals (from vendors and restaurants) consumed at home	3951	0.7%
114	School meals prepared and consumed at school cafeteria or school restaurant	4597	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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