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    Home / Central Data Catalog / DDI-SOM-SNBS-SIHBS-2022-V02 / variable [V1623]
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Somalia Integrated Household Budget Survey (SIHBS) 2022

Somalia, 2023
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Reference ID
DDI-SOM-SNBS-SIHBS-2022-v02
Producer(s)
Somalia National Bureau of Statistics
Metadata
DDI/XML JSON
Study website
Created on
Dec 10, 2023
Last modified
Sep 23, 2024
Page views
573464
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  • Study Description
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  • Data files
  • agland
  • asset
  • consagg
  • crops
  • fishing
  • food
  • hh
  • hhbus
  • hhm
  • land
  • livestock_byproducts
  • livestock_expenditures
  • livestock_own
  • nfood_6months
  • nfood_7days
  • nfood_12months
  • nfood_30days
  • shock

item id (item)

Data file: nfood_6months

Overview

Valid: 167531
Invalid: 0
Type: Discrete
Decimal: 0
Width: 81
Range: 1 - 198
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Trousers (men) 4295
2.6%
2 Jean Trousers (men) 979
0.6%
3 Shirt (men) 4687
2.8%
4 T-Shirt (men) 3403
2%
5 Vest (men) 1960
1.2%
6 Mawus (men) 3922
2.3%
7 Shawl (men) 581
0.3%
8 Suit jacket (men) 88
0.1%
9 Suits (men) 83
0%
10 Cimaamad (men) 1482
0.9%
11 Koofi (Hat) (men) 543
0.3%
12 Underwear (men) 1806
1.1%
13 Pyjamas (men) 55
0%
14 Socks (men) 1062
0.6%
15 Tailored clothes for men 296
0.2%
16 Traditional dresses (men) 38
0%
17 Trousers (men second-hand) 1356
0.8%
18 Jean trousers (men second-hand) 372
0.2%
19 Shirts (men second-hand) 1070
0.6%
21 Trousers (boys) 3696
2.2%
22 Jean trousers (boys) 1184
0.7%
23 Shirt (boys) 3724
2.2%
24 T-Shirt (boys) 2841
1.7%
25 Underwear (boys) 1298
0.8%
26 Pyjamas (boys) 82
0%
27 Tailored clothes for boys 225
0.1%
28 Second hand clothes for boys 305
0.2%
31 Dirak (baati) (women) 6034
3.6%
32 Dirak (will) (women) 704
0.4%
33 Shaash (scarf) (women) 1175
0.7%
34 Frock (women) 500
0.3%
35 Shawl [gar basaar ] (women) 4534
2.7%
36 Traditional dresses (women) 113
0.1%
37 Abaya (women) 2088
1.2%
38 Skirt [Goono] (women) 597
0.4%
39 Shirt / Blouse (women) 259
0.2%
40 Trousers/ jeans (women) 546
0.3%
41 Hijab (women) 4900
2.9%
42 Niqab (women) 978
0.6%
43 Khimar (women) 529
0.3%
44 Bra / Brassières (women) 1231
0.7%
45 Panties/ ladies briefs (Nigis dumar) (women) 1599
1%
46 Stockings/ Socks (women) 741
0.4%
47 Tailored clothes for women 448
0.3%
48 Second Hand Clothes for women 209
0.1%
49 Abaya (girls) 1923
1.1%
50 Dirra (girls) 3846
2.3%
51 Trousers/ jeans (girls) 1149
0.7%
52 Frock (girls) 209
0.1%
53 Hijab (girls) 3679
2.2%
54 Niqab (girls) 259
0.2%
55 Khimar (girls) 437
0.3%
56 T-shirts (girls) 533
0.3%
57 Underwear (girls) 749
0.4%
58 Stockings/ Socks (girls) 308
0.2%
59 Second hand clothes for girls 271
0.2%
61 Pyjamas /full body suit (infant) 291
0.2%
62 Half body suit/ onesie/ vest/ t-shirt (infant) 228
0.1%
63 Rompers (infant) 1475
0.9%
64 Socks (infant) 286
0.2%
65 Dress (infant) 872
0.5%
66 Pants (infant) 581
0.3%
67 Other infant clothes (infant) 361
0.2%
68 Second hand clothes for infants (infant) 229
0.1%
71 Open Shoes (men) 3323
2%
72 Sports shoes (men) 268
0.2%
73 Boots (men) 1640
1%
74 Ready made sandals (men) 1604
1%
75 Made to measure sandals (men) 92
0.1%
76 Slippers (men) 3012
1.8%
77 Shoes (women) 3216
1.9%
78 Sports shoes (women) 59
0%
79 Boots (women) 777
0.5%
80 Sandals (women) 2563
1.5%
81 Slippers (women) 3324
2%
82 Shoes (boys) 3064
1.8%
83 Boots (boys) 1415
0.8%
84 Sports shoes (boys) 125
0.1%
85 Ready made sandals (boys) 960
0.6%
86 Made to measure sandals (boys) 161
0.1%
87 Shoes (girls) 963
0.6%
88 Boots (girls) 954
0.6%
89 Sports shoes (girls) 1454
0.9%
90 Sandals (girls) 2372
1.4%
91 Shoes (infant) 1002
0.6%
92 Sandals (infant) 484
0.3%
95 Cleaning of clothing 381
0.2%
96 Repair and hire of clothing 419
0.3%
101 Gold jewelry 67
0%
102 Silver jewelry 81
0%
103 Beads 260
0.2%
104 Watches 747
0.4%
105 Umbrella 130
0.1%
106 Hand Bag 498
0.3%
107 Wallet 109
0.1%
108 Sunglasses 134
0.1%
109 Luggage/ Suitcase/ Laptop bag 111
0.1%
110 Men Belt 1409
0.8%
111 Women's scarves 442
0.3%
121 Antibiotic 2927
1.7%
122 Cold tablets 1754
1%
123 Dewormers 705
0.4%
124 Herbal medicine 208
0.1%
125 Vitamins 797
0.5%
126 Anti-Typhoid 339
0.2%
127 Anti-Malaria 708
0.4%
128 Painkillers 3191
1.9%
129 Treatment drugs for Diarrhoea 360
0.2%
130 Treatment drugs for Tuberculosis 20
0%
131 Treatment drugs for Malaria (mosquito based) 521
0.3%
132 Treatment drugs for Measles 45
0%
133 Treatment drugs for Respiratory Tract Infection 61
0%
134 Treatment drugs for Sexual Transmitted Infections 68
0%
135 Treatment drugs for Anemia 101
0.1%
136 Eye care medicine 146
0.1%
137 Treatment drugs for Obstetrical problems 15
0%
138 Other treatment drugs 178
0.1%
141 Syringes 373
0.2%
142 Thermometer 19
0%
143 Gloves 19
0%
144 Diapers for adults 23
0%
145 Surgical Cotton wool 8
0%
146 Other medical products 16
0%
151 Broom - Imported 2055
1.2%
152 Broom - Local 3528
2.1%
153 Mop / Sisal sack mop 517
0.3%
154 Pull water - squeezer 326
0.2%
155 Brush- scrubbing brush 109
0.1%
161 Plates 1382
0.8%
162 Glasses 508
0.3%
163 Tea Cups 1853
1.1%
164 Jug 1096
0.7%
165 Serving Dish 205
0.1%
166 Plate, Plastic 1120
0.7%
167 Jug, Plastic 1138
0.7%
168 Water cup, Plastic 1047
0.6%
169 Tea cup, Plastic 854
0.5%
170 Pot, Plastic 300
0.2%
171 Knives 3255
1.9%
172 Forks 429
0.3%
173 Spoons 1230
0.7%
181 Mirrors 636
0.4%
182 Basin, metal 652
0.4%
183 Basin, plastic 623
0.4%
184 Bucket, metal 396
0.2%
185 Bucket, plastic 1308
0.8%
186 Cooking pot (Jalmad) 747
0.4%
187 Flask, Thermos 2651
1.6%
188 Stand for hanging clothes on 288
0.2%
189 Electric shaver 39
0%
190 Electric Kettle/Tea Boiler 47
0%
191 Iron box- charcoal 65
0%
192 Torch 2601
1.6%
195 Printer 0
0%
196 Office supplies (paper, stapler, notebooks, file folders, file boxes, pens, etc.) 0
0%
197 Computer equipment (mouse, cables, hard discs, flash disks, memory cards, etc) 0
0%
198 Courier charges (UPS, etc) and photocopy charges 0
0%
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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