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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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Name of village/neighbourhood/got/kushet within the pa (village)

Data file: ERHS 2009_R7p1_s6a

Overview

Valid: 1577
Invalid: 0
Type: Discrete
Decimal: 0
Width: 22
Range: 1 - 270
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Mokor Chebote 6
0.4%
2 Meklo Sefer 14
0.9%
3 Gonde 4
0.3%
4 Burka 2
0.1%
5 Maekel 19
1.2%
6 Haresew 29
1.8%
7 Limeat 33
2.1%
8 Gichi 11
0.7%
9 Sirba 56
3.6%
10 Awaeho 9
0.6%
11 Yetmen 3
0.2%
12 Gelegel Yetmen 11
0.7%
13 Densit 12
0.8%
14 Arogea Ambo 5
0.3%
15 Minchit 1
0.1%
16 Yetmen Lay 7
0.4%
17 Lay Ambo 11
0.7%
18 Yetmen Abbo 2
0.1%
19 Felege Selam 2
0.1%
20 Karafio 24
1.5%
21 Dibe 14
0.9%
22 Ballo 4
0.3%
23 Woyenue Eshete 5
0.3%
24 Tekeleye Meshesha 1
0.1%
25 Mender Mesereto 6
0.4%
26 Aleka Merawi 3
0.2%
27 Golbo 2
0.1%
28 Dahadeba 1
0.1%
29 Fino 12
0.8%
30 Golele 6
0.4%
31 Ealka 1
0.1%
32 Beressa 6
0.4%
33 Mehal Faji 7
0.4%
34 Milki 5
0.3%
35 Tach Faji 11
0.7%
36 Asefa Meshesha 1
0.1%
37 Boka Fiya 3
0.2%
38 Boka Bodo 3
0.2%
39 Atabahiye 5
0.3%
40 Borkema 10
0.6%
41 Koyo 7
0.4%
42 Yerer 9
0.6%
43 Yesemie 5
0.3%
44 Yada 5
0.3%
45 Addis Ketema 13
0.8%
46 Gedereha 3
0.2%
47 Yerezeb 2
0.1%
48 Yetabhe 1
0.1%
49 Godety 7
0.4%
50 Turife 76
4.8%
51 Wotera 17
1.1%
52 Ketchema 2
0.1%
53 Tena Kelo 1
0.1%
54 Oda Mecro 2
0.1%
55 Morom Sefer 5
0.3%
56 Begejo 29
1.8%
57 Gonda Begajo 2
0.1%
58 Konisa 1
0.1%
59 Kobe G/Zaw 17
1.1%
60 Alini 1
0.1%
61 Worgbn 10
0.6%
62 Fino & Golele 6
0.4%
63 Makro 5
0.3%
64 Arekesa Kelo 6
0.4%
65 Gende Bele 8
0.5%
66 Adadie 3
0.2%
67 Yaboo 1
0.1%
68 Laftole Mesreta 1
0.1%
69 Boto 25
1.6%
70 Ebicho 34
2.2%
71 Alemgena 17
1.1%
72 Chelo 16
1%
73 Gera 9
0.6%
74 Woyde Tokisa 12
0.8%
75 Hago 41
2.6%
76 Wattro 6
0.4%
77 1
0.1%
78 Godo 3
0.2%
79 Weyde 1
0.1%
80 Koysha Totisa 2
0.1%
81 Cheba Tokisa 3
0.2%
82 Bako 1
0.1%
83 Muleta 1
0.1%
84 Laye Wite 8
0.5%
85 Tache Wite 5
0.3%
86 Azemish Kida 3
0.2%
87 Dokea 4
0.3%
88 Shafa 5
0.3%
89 2nd Bulla 2
0.1%
90 Mehkelawi 8
0.5%
91 Laye Deboo 5
0.3%
92 Merob Godana 2
0.1%
93 Laye Wonko 1
0.1%
94 Tach Wonko 5
0.3%
95 Wite 1
0.1%
96 Bulla 1
0.1%
97 Fuchere 11
0.7%
98 Meriager 6
0.4%
99 Alela Ager 13
0.8%
100 Telem Amba 4
0.3%
101 Gema 7
0.4%
102 Merere 9
0.6%
103 Tilko 2
0.1%
104 Dinki 35
2.2%
105 Genda Gerbi 5
0.3%
106 Kuslto 13
0.8%
107 G/Haro 3
0.2%
108 Gole Gendo Koclto 11
0.7%
109 Gole 6
0.4%
110 Tabia 2
0.1%
111 Galon 12
0.8%
112 Gole Genda Barentu 3
0.2%
113 H/Goro 1
0.1%
114 Doma 34
2.2%
115 Kokob 10
0.6%
116 Negot 2
0.1%
117 Kae Sefer 3
0.2%
118 Wacho 1
0.1%
119 Keysha 3
0.2%
120 Megazen Sefer 3
0.2%
121 Yemenged Sefer 1
0.1%
122 Omala 5
0.3%
123 Church Sefer 2
0.1%
124 Enquiry Beret 16
1%
125 Shume Sha 54
3.4%
126 Deorwo 19
1.2%
127 Aba Aregay 9
0.6%
128 Tewala 17
1.1%
129 Shikt 1
0.1%
130 Addis Amba 1
0.1%
131 Dendawhl 1
0.1%
132 Takora 5
0.3%
133 Denekel/ Bonito 4
0.3%
134 Semidoro 17
1.1%
135 Kosien 22
1.4%
136 Weielawer 12
0.8%
137 Errata 14
0.9%
138 Buko 14
0.9%
139 Degaga 28
1.8%
140 Emo 6
0.4%
141 Shalota 13
0.8%
142 Amola 10
0.6%
143 Arda 21
1.3%
144 Arda chikota 4
0.3%
145 Alelu 4
0.3%
146 kura 16
1%
147 Mona Barumso 7
0.4%
148 Tineshu Kamo 4
0.3%
149 Kokola 8
0.5%
150 Gerdi 9
0.6%
151 Habt 4
0.3%
152 Abeyi 3
0.2%
153 Abejede 7
0.4%
154 Yebbo 5
0.3%
155 Abukako 3
0.2%
156 Famo 2
0.1%
157 Yero 3
0.2%
158 Buraya 2
0.1%
159 Wayyu 1
0.1%
160 Somdo 2
0.1%
161 Lalo Mabe 1
0.1%
162 Kajaro 9
0.6%
163 Kulto 6
0.4%
164 Gole Ganda Sole 5
0.3%
165 Genda Muuda 4
0.3%
166 Kura 1
0.1%
167 Elemo 2
0.1%
168 Boba Sodere 1
0.1%
169 Dodota 1
0.1%
170 Dolo 12
0.8%
171 Bursa 9
0.6%
172 Adado 38
2.4%
173 Hago 14
0.9%
174 Waissa 8
0.5%
175 Kisha 29
1.8%
176 Bukicho 15
1%
177 Invester Chample /Roba 4
0.3%
178 Hassene/ Waissa 3
0.2%
179 Dude 2
0.1%
185 2
0.1%
232 1
0.1%
270 1
0.1%
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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