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    Home / Central Data Catalog / SSD_2016_HFS-W2_V02_M / variable [F14]
central

High Frequency Survey 2016, Wave 2

South Sudan, 2016
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Reference ID
SSD_2016_HFS-W2_v02_M
DOI
https://doi.org/10.48529/xz60-7w58
Producer(s)
Utz J. Pape
Collection(s)
Fragility, Conflict and Violence
Metadata
Documentation in PDF DDI/XML JSON
Created on
Feb 08, 2017
Last modified
Aug 07, 2017
Page views
80768
Downloads
5797
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • assets
  • food
  • hhm
  • hhm_w1_w2
  • hhq
  • hhq_w1_w2
  • livestock
  • mi-extract
  • nonfood

Item Name (itemlabel)

Data file: food

Overview

Valid: 77829
Invalid: 0
Minimum: 1
Maximum: 140
Type: Discrete
Decimal: 0
Start: 46
End: 55
Width: 10
Range: 1 - 2147483647
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Aluminium box Fanta or Sprite 350 milliliters 526
0.7%
2 Animal and vegetable butter 525
0.7%
3 Apples 882
1.1%
4 Avocado 579
0.7%
5 Baking powder 576
0.7%
6 Black tea imported (no tea bags) 743
1%
7 Blood and blood products 882
1.1%
8 Bottle of Fanta Sprite 557
0.7%
9 Bottle of Fanta or Sprite 300-350 milliliters 584
0.8%
10 Bread 275
0.4%
11 Breakfast cereals 680
0.9%
12 Buns 688
0.9%
13 Cabbage 647
0.8%
14 Camel liver 336
0.4%
15 Candy 507
0.7%
16 Canned/bottled beer 665
0.9%
17 Carrots 517
0.7%
18 Cassava boiled 669
0.9%
19 Cassava flour 314
0.4%
20 Cassava tubers 794
1%
21 Chicken 65
0.1%
22 Chicken and poultry 54
0.1%
23 Chocolate 169
0.2%
24 Cigarettes 740
1%
25 Cinnamon powder 884
1.1%
26 Cocoa 626
0.8%
27 Coffee 157
0.2%
28 Coffee or tea in the market 714
0.9%
29 Cooking banana 542
0.7%
30 Cooking oil 721
0.9%
31 Coriander 874
1.1%
32 Cucumber 904
1.2%
33 Dates 265
0.3%
34 Dried fish (local) 654
0.8%
35 Dry Egyptian beans (local) 630
0.8%
36 Dry chick peas 634
0.8%
37 Dry okra (dry Alweka) 616
0.8%
38 Dura 608
0.8%
39 Dura flour 329
0.4%
40 Eggs 667
0.9%
41 Eggs boiled 599
0.8%
42 Egyptian boiled beans 598
0.8%
43 Feet/foot from cow/veal (fresh and clean without skin) 568
0.7%
44 Feet/foot from sheep/goat (fresh and clean without skin) 714
0.9%
45 Fish 122
0.2%
46 Fish dishes in a restaurant 662
0.9%
47 Fissekh, salted fish (local) 677
0.9%
48 Food salt 1089
1.4%
49 Fresh beef 495
0.6%
50 Fresh fish, Bolati and others 59
0.1%
51 Fresh milk 81
0.1%
52 Fresh orange juice in a restaurant 570
0.7%
53 Fresh tomatoes 790
1%
54 Ghee (samin) 540
0.7%
55 Ginger powder 1
0%
56 Goat meat (with bones, fresh, local) 42
0.1%
57 Grain black pepper 611
0.8%
58 Green okra 689
0.9%
59 Green spicy (pungent) 902
1.2%
60 Groundnut flour 341
0.4%
61 Head from cow/veal (fresh and clean without skin) 506
0.7%
62 Head from sheep/goat (fresh and clean without skin) 906
1.2%
63 Honeyed tobacco (Aoasl) 563
0.7%
64 Indian mango (local) 618
0.8%
65 Infant feeding 582
0.7%
66 Insects 570
0.7%
67 Intestines beef/cow/veal but no liver 691
0.9%
68 Jam (the malty) & jelly 642
0.8%
69 Jelly 242
0.3%
70 Khazalten tea or other 698
0.9%
71 Kisra and asida 552
0.7%
72 Lentils 759
1%
73 Lentils (Adasia) 702
0.9%
74 Liquor 607
0.8%
75 Liver (cattle/veal) 618
0.8%
76 Liver (sheep/goat) 622
0.8%
77 Local banana 669
0.9%
78 Local biscuit 652
0.8%
79 Local mineral water 712
0.9%
80 Local mineral water 0.5 liters 324
0.4%
81 Local mineral water 1.5 liters 579
0.7%
82 Lunch in a restaurant 749
1%
83 Macaroni, spaghetti, noodles etc 621
0.8%
84 Maize (in the cob) 67
0.1%
85 Maize boiled/roasted 3
0%
86 Maize flour 470
0.6%
87 Mango peal (municipal mango) 445
0.6%
88 Mangoes 220
0.3%
89 Meals and breakfast for one person in a restaurant 713
0.9%
90 Meat 177
0.2%
91 Meat dishes in a restaurant 636
0.8%
92 Milk powder 61
0.1%
93 Milk products; cheese, yoghurt, etc 578
0.7%
94 Millet (Dukhn) 747
1%
95 Millet flour 695
0.9%
96 Milokhia 788
1%
97 Mutton tripes/intestines but no liver from sheep/goat (fresh and clean without skin) 730
0.9%
98 Natural groundnut (Roasted) 242
0.3%
99 Natural honey 31
0%
100 Nescafe (coffee instant) 705
0.9%
101 Okra dry powder (waika) 676
0.9%
102 Onions 554
0.7%
103 Orange juice (fruit juice) 644
0.8%
104 Oranges 648
0.8%
105 Other cereals and cereal products (except infant feeding, wheat, millet, reels of pasta, buns and breakfast cereals) 592
0.8%
106 Other flour 81
0.1%
107 Other fresh meat and animal products but no sheep/goat or beef/cow/veal 536
0.7%
108 Other roots, tubers, vegetables 767
1%
109 Papaya 738
0.9%
110 Pineapple 594
0.8%
111 Pork meat 511
0.7%
112 Potato (Irish) 600
0.8%
113 Promises cinnamon 876
1.1%
114 Pumpkin (Garaoa) 588
0.8%
115 Red chili (hot pepper) 692
0.9%
116 Reels of pasta 883
1.1%
117 Rice (imported) 237
0.3%
118 Sandwich Tamiya / beans 589
0.8%
119 Sausages (cattle/veal) 882
1.1%
120 Sheep meat (fresh, with bone, local) 45
0.1%
121 Small animals (rabbits, mice,etc.) 693
0.9%
122 Soya bean flour 554
0.7%
123 Sugar 709
0.9%
124 Sugar cane 664
0.9%
125 Sweet potato 674
0.9%
126 Tahnieh Halawa 598
0.8%
127 Tea bags 717
0.9%
128 Tinned fish, sardine 125 grams, tuna, etc 884
1.1%
129 Tinned pulses 878
1.1%
130 Tomato sauce (canned) 586
0.8%
131 Tomato sauce (large pack of local 500 grams) 639
0.8%
132 Tomato sauce (small pack of 70 grams) 685
0.9%
133 Tombac, tobacco 85
0.1%
134 Traditional beer 133
0.2%
135 Wheat 627
0.8%
136 Wheat flour (Fino,local) 650
0.8%
137 White beans 657
0.8%
138 Yam 537
0.7%
139 Yeast 645
0.8%
140 Yellow maize (Dura Shami) 40
0.1%
2147483622 Don't know 0
0%
2147483623 Refused to respond 0
0%
2147483647 Not Applicable 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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