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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_s6h1

Overview

Valid: 2242
Invalid: 0
Type: Discrete
Decimal: 0
Width: 22
Range: 1 - 270
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Mokor Chebote 4
0.2%
2 Meklo Sefer 5
0.2%
3 Gonde 3
0.1%
4 Burka 0
0%
5 Maekel 21
0.9%
6 Haresew 40
1.8%
7 Limeat 41
1.8%
8 Gichi 1
0%
9 Sirba 14
0.6%
10 Awaeho 3
0.1%
11 Yetmen 1
0%
12 Gelegel Yetmen 3
0.1%
13 Densit 8
0.4%
14 Arogea Ambo 1
0%
15 Minchit 0
0%
16 Yetmen Lay 5
0.2%
17 Lay Ambo 8
0.4%
18 Yetmen Abbo 0
0%
19 Felege Selam 0
0%
20 Karafio 17
0.8%
21 Dibe 11
0.5%
22 Ballo 5
0.2%
23 Woyenue Eshete 0
0%
24 Tekeleye Meshesha 0
0%
25 Mender Mesereto 7
0.3%
26 Aleka Merawi 2
0.1%
27 Golbo 0
0%
28 Dahadeba 0
0%
29 Fino 15
0.7%
30 Golele 8
0.4%
31 Ealka 2
0.1%
32 Beressa 6
0.3%
33 Mehal Faji 9
0.4%
34 Milki 1
0%
35 Tach Faji 6
0.3%
36 Asefa Meshesha 0
0%
37 Boka Fiya 5
0.2%
38 Boka Bodo 1
0%
39 Atabahiye 6
0.3%
40 Borkema 31
1.4%
41 Koyo 20
0.9%
42 Yerer 19
0.8%
43 Yesemie 13
0.6%
44 Yada 6
0.3%
45 Addis Ketema 39
1.7%
46 Gedereha 7
0.3%
47 Yerezeb 2
0.1%
48 Yetabhe 5
0.2%
49 Godety 1
0%
50 Turife 113
5%
51 Wotera 23
1%
52 Ketchema 1
0%
53 Tena Kelo 0
0%
54 Oda Mecro 3
0.1%
55 Morom Sefer 3
0.1%
56 Begejo 13
0.6%
57 Gonda Begajo 4
0.2%
58 Konisa 1
0%
59 Kobe G/Zaw 23
1%
60 Alini 3
0.1%
61 Worgbn 12
0.5%
62 Fino & Golele 8
0.4%
63 Makro 2
0.1%
64 Arekesa Kelo 4
0.2%
65 Gende Bele 6
0.3%
66 Adadie 6
0.3%
67 Yaboo 0
0%
68 Laftole Mesreta 1
0%
69 Boto 51
2.3%
70 Ebicho 58
2.6%
71 Alemgena 15
0.7%
72 Chelo 57
2.5%
73 Gera 22
1%
74 Woyde Tokisa 32
1.4%
75 Hago 63
2.8%
76 Wattro 5
0.2%
77 4
0.2%
78 Godo 10
0.4%
79 Weyde 1
0%
80 Koysha Totisa 11
0.5%
81 Cheba Tokisa 1
0%
82 Bako 3
0.1%
83 Muleta 2
0.1%
84 Laye Wite 21
0.9%
85 Tache Wite 15
0.7%
86 Azemish Kida 8
0.4%
87 Dokea 16
0.7%
88 Shafa 5
0.2%
89 2nd Bulla 11
0.5%
90 Mehkelawi 25
1.1%
91 Laye Deboo 15
0.7%
92 Merob Godana 6
0.3%
93 Laye Wonko 1
0%
94 Tach Wonko 16
0.7%
95 Wite 1
0%
96 Bulla 5
0.2%
97 Fuchere 21
0.9%
98 Meriager 20
0.9%
99 Alela Ager 22
1%
100 Telem Amba 8
0.4%
101 Gema 24
1.1%
102 Merere 15
0.7%
103 Tilko 4
0.2%
104 Dinki 80
3.6%
105 Genda Gerbi 5
0.2%
106 Kuslto 9
0.4%
107 G/Haro 2
0.1%
108 Gole Gendo Koclto 11
0.5%
109 Gole 3
0.1%
110 Tabia 3
0.1%
111 Galon 10
0.4%
112 Gole Genda Barentu 2
0.1%
113 H/Goro 2
0.1%
114 Doma 34
1.5%
115 Kokob 2
0.1%
116 Negot 0
0%
117 Kae Sefer 5
0.2%
118 Wacho 0
0%
119 Keysha 0
0%
120 Megazen Sefer 2
0.1%
121 Yemenged Sefer 0
0%
122 Omala 4
0.2%
123 Church Sefer 1
0%
124 Enquiry Beret 13
0.6%
125 Shume Sha 51
2.3%
126 Deorwo 6
0.3%
127 Aba Aregay 7
0.3%
128 Tewala 13
0.6%
129 Shikt 0
0%
130 Addis Amba 5
0.2%
131 Dendawhl 3
0.1%
132 Takora 14
0.6%
133 Denekel/ Bonito 10
0.4%
134 Semidoro 32
1.4%
135 Kosien 28
1.2%
136 Weielawer 14
0.6%
137 Errata 20
0.9%
138 Buko 11
0.5%
139 Degaga 7
0.3%
140 Emo 4
0.2%
141 Shalota 32
1.4%
142 Amola 0
0%
143 Arda 11
0.5%
144 Arda chikota 0
0%
145 Alelu 0
0%
146 kura 0
0%
147 Mona Barumso 5
0.2%
148 Tineshu Kamo 8
0.4%
149 Kokola 2
0.1%
150 Gerdi 4
0.2%
151 Habt 0
0%
152 Abeyi 0
0%
153 Abejede 3
0.1%
154 Yebbo 1
0%
155 Abukako 5
0.2%
156 Famo 0
0%
157 Yero 0
0%
158 Buraya 0
0%
159 Wayyu 0
0%
160 Somdo 0
0%
161 Lalo Mabe 0
0%
162 Kajaro 10
0.4%
163 Kulto 3
0.1%
164 Gole Ganda Sole 1
0%
165 Genda Muuda 1
0%
166 Kura 0
0%
167 Elemo 5
0.2%
168 Boba Sodere 0
0%
169 Dodota 3
0.1%
170 Dolo 39
1.7%
171 Bursa 34
1.5%
172 Adado 134
6%
173 Hago 52
2.3%
174 Waissa 40
1.8%
175 Kisha 116
5.2%
176 Bukicho 60
2.7%
177 Invester Chample /Roba 6
0.3%
178 Hassene/ Waissa 15
0.7%
179 Dude 6
0.3%
185 6
0.3%
232 1
0%
270 4
0.2%
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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