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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_s1c_yyrv

Overview

Valid: 1993
Invalid: 0
Type: Discrete
Decimal: 0
Width: 22
Range: 1 - 185
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Mokor Chebote 10
0.5%
2 Meklo Sefer 22
1.1%
3 Gonde 10
0.5%
4 Burka 1
0.1%
5 Maekel 26
1.3%
6 Haresew 30
1.5%
7 Limeat 35
1.8%
8 Gichi 17
0.9%
9 Sirba 62
3.1%
10 Awaeho 13
0.7%
11 Yetmen 5
0.3%
12 Gelegel Yetmen 12
0.6%
13 Densit 10
0.5%
14 Arogea Ambo 1
0.1%
15 Minchit 0
0%
16 Yetmen Lay 8
0.4%
17 Lay Ambo 11
0.6%
18 Yetmen Abbo 0
0%
19 Felege Selam 1
0.1%
20 Karafio 27
1.4%
21 Dibe 11
0.6%
22 Ballo 4
0.2%
23 Woyenue Eshete 3
0.2%
24 Tekeleye Meshesha 1
0.1%
25 Mender Mesereto 3
0.2%
26 Aleka Merawi 1
0.1%
27 Golbo 3
0.2%
28 Dahadeba 1
0.1%
29 Fino 12
0.6%
30 Golele 2
0.1%
31 Ealka 1
0.1%
32 Beressa 12
0.6%
33 Mehal Faji 6
0.3%
34 Milki 5
0.3%
35 Tach Faji 17
0.9%
36 Asefa Meshesha 0
0%
37 Boka Fiya 2
0.1%
38 Boka Bodo 2
0.1%
39 Atabahiye 2
0.1%
40 Borkema 20
1%
41 Koyo 9
0.5%
42 Yerer 9
0.5%
43 Yesemie 12
0.6%
44 Yada 7
0.4%
45 Addis Ketema 17
0.9%
46 Gedereha 5
0.3%
47 Yerezeb 5
0.3%
48 Yetabhe 2
0.1%
49 Godety 16
0.8%
50 Turife 121
6.1%
51 Wotera 37
1.9%
52 Ketchema 2
0.1%
53 Tena Kelo 2
0.1%
54 Oda Mecro 3
0.2%
55 Morom Sefer 7
0.4%
56 Begejo 51
2.6%
57 Gonda Begajo 2
0.1%
58 Konisa 3
0.2%
59 Kobe G/Zaw 21
1.1%
60 Alini 1
0.1%
61 Worgbn 16
0.8%
62 Fino & Golele 8
0.4%
63 Makro 7
0.4%
64 Arekesa Kelo 13
0.7%
65 Gende Bele 8
0.4%
66 Adadie 4
0.2%
67 Yaboo 4
0.2%
68 Laftole Mesreta 0
0%
69 Boto 32
1.6%
70 Ebicho 42
2.1%
71 Alemgena 29
1.5%
72 Chelo 24
1.2%
73 Gera 19
1%
74 Woyde Tokisa 19
1%
75 Hago 68
3.4%
76 Wattro 6
0.3%
77 5
0.3%
78 Godo 3
0.2%
79 Weyde 3
0.2%
80 Koysha Totisa 2
0.1%
81 Cheba Tokisa 3
0.2%
82 Bako 3
0.2%
83 Muleta 0
0%
84 Laye Wite 19
1%
85 Tache Wite 11
0.6%
86 Azemish Kida 2
0.1%
87 Dokea 8
0.4%
88 Shafa 11
0.6%
89 2nd Bulla 8
0.4%
90 Mehkelawi 12
0.6%
91 Laye Deboo 18
0.9%
92 Merob Godana 6
0.3%
93 Laye Wonko 0
0%
94 Tach Wonko 4
0.2%
95 Wite 1
0.1%
96 Bulla 4
0.2%
97 Fuchere 21
1.1%
98 Meriager 9
0.5%
99 Alela Ager 11
0.6%
100 Telem Amba 2
0.1%
101 Gema 5
0.3%
102 Merere 9
0.5%
103 Tilko 1
0.1%
104 Dinki 37
1.9%
105 Genda Gerbi 14
0.7%
106 Kuslto 19
1%
107 G/Haro 5
0.3%
108 Gole Gendo Koclto 16
0.8%
109 Gole 17
0.9%
110 Tabia 0
0%
111 Galon 21
1.1%
112 Gole Genda Barentu 4
0.2%
113 H/Goro 0
0%
114 Doma 36
1.8%
115 Kokob 11
0.6%
116 Negot 3
0.2%
117 Kae Sefer 1
0.1%
118 Wacho 2
0.1%
119 Keysha 5
0.3%
120 Megazen Sefer 4
0.2%
121 Yemenged Sefer 1
0.1%
122 Omala 3
0.2%
123 Church Sefer 2
0.1%
124 Enquiry Beret 21
1.1%
125 Shume Sha 53
2.7%
126 Deorwo 14
0.7%
127 Aba Aregay 5
0.3%
128 Tewala 18
0.9%
129 Shikt 0
0%
130 Addis Amba 2
0.1%
131 Dendawhl 1
0.1%
132 Takora 11
0.6%
133 Denekel/ Bonito 5
0.3%
134 Semidoro 8
0.4%
135 Kosien 20
1%
136 Weielawer 11
0.6%
137 Errata 11
0.6%
138 Buko 16
0.8%
139 Degaga 36
1.8%
140 Emo 7
0.4%
141 Shalota 12
0.6%
142 Amola 16
0.8%
143 Arda 28
1.4%
144 Arda chikota 1
0.1%
145 Alelu 12
0.6%
146 kura 9
0.5%
147 Mona Barumso 10
0.5%
148 Tineshu Kamo 2
0.1%
149 Kokola 3
0.2%
150 Gerdi 12
0.6%
151 Habt 7
0.4%
152 Abeyi 6
0.3%
153 Abejede 8
0.4%
154 Yebbo 6
0.3%
155 Abukako 1
0.1%
156 Famo 4
0.2%
157 Yero 2
0.1%
158 Buraya 1
0.1%
159 Wayyu 0
0%
160 Somdo 1
0.1%
161 Lalo Mabe 0
0%
162 Kajaro 11
0.6%
163 Kulto 6
0.3%
164 Gole Ganda Sole 3
0.2%
165 Genda Muuda 4
0.2%
166 Kura 0
0%
167 Elemo 5
0.3%
168 Boba Sodere 0
0%
169 Dodota 1
0.1%
170 Dolo 18
0.9%
171 Bursa 14
0.7%
172 Adado 40
2%
173 Hago 5
0.3%
174 Waissa 7
0.4%
175 Kisha 35
1.8%
176 Bukicho 24
1.2%
177 Invester Chample /Roba 4
0.2%
178 Hassene/ Waissa 5
0.3%
179 Dude 3
0.2%
185 6
0.3%
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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