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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_R7p3_s8c

Overview

Valid: 1159
Invalid: 0
Type: Discrete
Decimal: 0
Width: 22
Range: 1 - 232
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Mokor Chebote 4
0.3%
2 Meklo Sefer 12
1%
3 Gonde 2
0.2%
4 Burka 2
0.2%
5 Maekel 10
0.9%
6 Haresew 11
0.9%
7 Limeat 18
1.6%
8 Gichi 6
0.5%
9 Sirba 38
3.3%
10 Awaeho 7
0.6%
11 Yetmen 2
0.2%
12 Gelegel Yetmen 9
0.8%
13 Densit 10
0.9%
14 Arogea Ambo 5
0.4%
15 Minchit 1
0.1%
16 Yetmen Lay 6
0.5%
17 Lay Ambo 9
0.8%
18 Yetmen Abbo 2
0.2%
19 Felege Selam 2
0.2%
20 Karafio 16
1.4%
21 Dibe 8
0.7%
22 Ballo 2
0.2%
23 Woyenue Eshete 4
0.3%
24 Tekeleye Meshesha 1
0.1%
25 Mender Mesereto 5
0.4%
26 Aleka Merawi 2
0.2%
27 Golbo 1
0.1%
28 Dahadeba 0
0%
29 Fino 9
0.8%
30 Golele 4
0.3%
31 Ealka 0
0%
32 Beressa 5
0.4%
33 Mehal Faji 5
0.4%
34 Milki 3
0.3%
35 Tach Faji 9
0.8%
36 Asefa Meshesha 1
0.1%
37 Boka Fiya 1
0.1%
38 Boka Bodo 3
0.3%
39 Atabahiye 5
0.4%
40 Borkema 8
0.7%
41 Koyo 7
0.6%
42 Yerer 6
0.5%
43 Yesemie 4
0.3%
44 Yada 3
0.3%
45 Addis Ketema 11
0.9%
46 Gedereha 1
0.1%
47 Yerezeb 2
0.2%
48 Yetabhe 1
0.1%
49 Godety 6
0.5%
50 Turife 55
4.7%
51 Wotera 10
0.9%
52 Ketchema 1
0.1%
53 Tena Kelo 1
0.1%
54 Oda Mecro 2
0.2%
55 Morom Sefer 4
0.3%
56 Begejo 23
2%
57 Gonda Begajo 1
0.1%
58 Konisa 0
0%
59 Kobe G/Zaw 12
1%
60 Alini 1
0.1%
61 Worgbn 7
0.6%
62 Fino & Golele 4
0.3%
63 Makro 5
0.4%
64 Arekesa Kelo 5
0.4%
65 Gende Bele 6
0.5%
66 Adadie 1
0.1%
67 Yaboo 1
0.1%
68 Laftole Mesreta 1
0.1%
69 Boto 17
1.5%
70 Ebicho 28
2.4%
71 Alemgena 14
1.2%
72 Chelo 14
1.2%
73 Gera 5
0.4%
74 Woyde Tokisa 10
0.9%
75 Hago 35
3%
76 Wattro 6
0.5%
77 1
0.1%
78 Godo 3
0.3%
79 Weyde 1
0.1%
80 Koysha Totisa 1
0.1%
81 Cheba Tokisa 2
0.2%
82 Bako 1
0.1%
83 Muleta 1
0.1%
84 Laye Wite 8
0.7%
85 Tache Wite 4
0.3%
86 Azemish Kida 3
0.3%
87 Dokea 4
0.3%
88 Shafa 4
0.3%
89 2nd Bulla 2
0.2%
90 Mehkelawi 8
0.7%
91 Laye Deboo 5
0.4%
92 Merob Godana 1
0.1%
93 Laye Wonko 1
0.1%
94 Tach Wonko 4
0.3%
95 Wite 1
0.1%
96 Bulla 1
0.1%
97 Fuchere 9
0.8%
98 Meriager 4
0.3%
99 Alela Ager 9
0.8%
100 Telem Amba 4
0.3%
101 Gema 3
0.3%
102 Merere 5
0.4%
103 Tilko 2
0.2%
104 Dinki 28
2.4%
105 Genda Gerbi 4
0.3%
106 Kuslto 11
0.9%
107 G/Haro 2
0.2%
108 Gole Gendo Koclto 10
0.9%
109 Gole 4
0.3%
110 Tabia 2
0.2%
111 Galon 11
0.9%
112 Gole Genda Barentu 3
0.3%
113 H/Goro 1
0.1%
114 Doma 26
2.2%
115 Kokob 9
0.8%
116 Negot 2
0.2%
117 Kae Sefer 3
0.3%
118 Wacho 1
0.1%
119 Keysha 3
0.3%
120 Megazen Sefer 3
0.3%
121 Yemenged Sefer 1
0.1%
122 Omala 4
0.3%
123 Church Sefer 2
0.2%
124 Enquiry Beret 11
0.9%
125 Shume Sha 28
2.4%
126 Deorwo 13
1.1%
127 Aba Aregay 9
0.8%
128 Tewala 13
1.1%
129 Shikt 1
0.1%
130 Addis Amba 0
0%
131 Dendawhl 1
0.1%
132 Takora 4
0.3%
133 Denekel/ Bonito 4
0.3%
134 Semidoro 7
0.6%
135 Kosien 12
1%
136 Weielawer 8
0.7%
137 Errata 8
0.7%
138 Buko 11
0.9%
139 Degaga 19
1.6%
140 Emo 3
0.3%
141 Shalota 8
0.7%
142 Amola 7
0.6%
143 Arda 12
1%
144 Arda chikota 2
0.2%
145 Alelu 2
0.2%
146 kura 15
1.3%
147 Mona Barumso 7
0.6%
148 Tineshu Kamo 4
0.3%
149 Kokola 5
0.4%
150 Gerdi 9
0.8%
151 Habt 4
0.3%
152 Abeyi 1
0.1%
153 Abejede 7
0.6%
154 Yebbo 5
0.4%
155 Abukako 3
0.3%
156 Famo 1
0.1%
157 Yero 3
0.3%
158 Buraya 1
0.1%
159 Wayyu 1
0.1%
160 Somdo 1
0.1%
161 Lalo Mabe 1
0.1%
162 Kajaro 8
0.7%
163 Kulto 5
0.4%
164 Gole Ganda Sole 3
0.3%
165 Genda Muuda 4
0.3%
166 Kura 1
0.1%
167 Elemo 1
0.1%
168 Boba Sodere 1
0.1%
169 Dodota 1
0.1%
170 Dolo 8
0.7%
171 Bursa 6
0.5%
172 Adado 29
2.5%
173 Hago 12
1%
174 Waissa 3
0.3%
175 Kisha 25
2.2%
176 Bukicho 10
0.9%
177 Invester Chample /Roba 4
0.3%
178 Hassene/ Waissa 3
0.3%
179 Dude 2
0.2%
185 1
0.1%
232 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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