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Ethiopian Rural Household Survey 1989-2009

Ethiopia, 1989 - 2009
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Reference ID
eth-csae-erhs-1989-2009-v1
Producer(s)
International Food Policy Research Institute (IFPRI), Centre for the study of African Economies (CSAE), Department of Economics, Addis Ababa University (AAU)
Metadata
DDI/XML JSON
Created on
Oct 15, 2012
Last modified
Oct 26, 2015
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Type of food consumed (q36_1b)

Data file: ERHS 1994b_r2p3s6a

Overview

Valid: 13206
Invalid: 29
Type: Discrete
Decimal: 0
Width: 2
Range: 1 - 98
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Teff 509
3.9%
2 Black & Mixed Teff 3
0%
3 Barley 432
3.3%
4 Wheat/Durahh 478
3.6%
5 Maize (Bekolo/Bahirmashila) 724
5.5%
6 Sorghum (Mashila)/ Millet 185
1.4%
7 121
0.9%
8 1
0%
9 Horse beans (Bakela) 459
3.5%
10 Linseed 6
0%
12 1
0%
14 Lentils 236
1.8%
15 Green leaf/ vegetables 187
1.4%
16 Coffee 1197
9.1%
17 Chat 111
0.8%
18 Enset 37
0.3%
19 8
0.1%
20 1
0%
21 26
0.2%
22 1
0%
23 41
0.3%
24 2
0%
25 3
0%
26 Potato 216
1.6%
27 1
0%
28 5
0%
29 1
0%
30 1
0%
31 Onions 422
3.2%
32 Spinach (Qosta) 1
0%
33 Garlic (Nech shinkurt) 148
1.1%
34 Yam 4
0%
35 Fasolia 0
0%
36 Fruit 1
0%
37 1
0%
38 6
0%
39 332
2.5%
40 Chick peas 203
1.5%
41 Cow peas 249
1.9%
42 3
0%
43 25
0.2%
44 44
0.3%
45 115
0.9%
46 15
0.1%
47 51
0.4%
49 Gommen 225
1.7%
50 5
0%
51 3
0%
52 13
0.1%
53 Field peas 3
0%
54 Fenugreek (Abish) 80
0.6%
55 Beetroot (Keiy ser) 10
0.1%
56 Carrot 0
0%
57 Ginger (Jinjibel) 50
0.4%
58 Lettuce (selata) 1
0%
59 Cabbage (Tikil Gomen) 2
0%
60 33
0.2%
61 Beef 286
2.2%
62 Mutton/goat meat 41
0.3%
63 51
0.4%
64 Butter 435
3.3%
65 Milk/Yoghourt/Cheese 452
3.4%
67 Chicken 50
0.4%
68 Eggs 111
0.8%
70 2
0%
71 Tella/tej 392
3%
72 Birra 11
0.1%
73 Araqi (Kathikala) 160
1.2%
74 Soft drinks 53
0.4%
75 Sugar 291
2.2%
76 Honey 12
0.1%
81 Salt 1377
10.4%
82 Cooking Oil 603
4.6%
83 Spices 659
5%
84 208
1.6%
85 Berbere 413
3.1%
86 Bread 145
1.1%
87 Macaroni/Spaghetti 20
0.2%
88 Coffee leaf/Tea 28
0.2%
89 Cactus (Beles fruit) 3
0%
90 343
2.6%
91 1
0%
92 Flour 7
0.1%
93 Injera+Wot 7
0.1%
95 6
0%
98 1
0%
Sysmiss 29
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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