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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_R7p2_s6b

Overview

Valid: 1812
Invalid: 0
Type: Discrete
Decimal: 0
Width: 22
Range: 1 - 270
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Mokor Chebote 8
0.4%
2 Meklo Sefer 21
1.2%
3 Gonde 5
0.3%
4 Burka 2
0.1%
5 Maekel 17
0.9%
6 Haresew 7
0.4%
7 Limeat 41
2.3%
8 Gichi 10
0.6%
9 Sirba 61
3.4%
10 Awaeho 9
0.5%
11 Yetmen 4
0.2%
12 Gelegel Yetmen 17
0.9%
13 Densit 13
0.7%
14 Arogea Ambo 6
0.3%
15 Minchit 2
0.1%
16 Yetmen Lay 13
0.7%
17 Lay Ambo 15
0.8%
18 Yetmen Abbo 6
0.3%
19 Felege Selam 1
0.1%
20 Karafio 16
0.9%
21 Dibe 20
1.1%
22 Ballo 3
0.2%
23 Woyenue Eshete 7
0.4%
24 Tekeleye Meshesha 1
0.1%
25 Mender Mesereto 4
0.2%
26 Aleka Merawi 3
0.2%
27 Golbo 0
0%
28 Dahadeba 0
0%
29 Fino 7
0.4%
30 Golele 7
0.4%
31 Ealka 1
0.1%
32 Beressa 6
0.3%
33 Mehal Faji 7
0.4%
34 Milki 3
0.2%
35 Tach Faji 11
0.6%
36 Asefa Meshesha 1
0.1%
37 Boka Fiya 5
0.3%
38 Boka Bodo 5
0.3%
39 Atabahiye 8
0.4%
40 Borkema 10
0.6%
41 Koyo 10
0.6%
42 Yerer 11
0.6%
43 Yesemie 6
0.3%
44 Yada 8
0.4%
45 Addis Ketema 11
0.6%
46 Gedereha 3
0.2%
47 Yerezeb 3
0.2%
48 Yetabhe 2
0.1%
49 Godety 9
0.5%
50 Turife 45
2.5%
51 Wotera 7
0.4%
52 Ketchema 1
0.1%
53 Tena Kelo 2
0.1%
54 Oda Mecro 3
0.2%
55 Morom Sefer 10
0.6%
56 Begejo 44
2.4%
57 Gonda Begajo 1
0.1%
58 Konisa 1
0.1%
59 Kobe G/Zaw 27
1.5%
60 Alini 2
0.1%
61 Worgbn 25
1.4%
62 Fino & Golele 5
0.3%
63 Makro 10
0.6%
64 Arekesa Kelo 5
0.3%
65 Gende Bele 12
0.7%
66 Adadie 4
0.2%
67 Yaboo 0
0%
68 Laftole Mesreta 1
0.1%
69 Boto 46
2.5%
70 Ebicho 56
3.1%
71 Alemgena 24
1.3%
72 Chelo 24
1.3%
73 Gera 14
0.8%
74 Woyde Tokisa 22
1.2%
75 Hago 85
4.7%
76 Wattro 11
0.6%
77 1
0.1%
78 Godo 4
0.2%
79 Weyde 1
0.1%
80 Koysha Totisa 3
0.2%
81 Cheba Tokisa 4
0.2%
82 Bako 3
0.2%
83 Muleta 3
0.2%
84 Laye Wite 9
0.5%
85 Tache Wite 4
0.2%
86 Azemish Kida 3
0.2%
87 Dokea 8
0.4%
88 Shafa 4
0.2%
89 2nd Bulla 1
0.1%
90 Mehkelawi 11
0.6%
91 Laye Deboo 10
0.6%
92 Merob Godana 0
0%
93 Laye Wonko 0
0%
94 Tach Wonko 12
0.7%
95 Wite 0
0%
96 Bulla 1
0.1%
97 Fuchere 16
0.9%
98 Meriager 9
0.5%
99 Alela Ager 11
0.6%
100 Telem Amba 7
0.4%
101 Gema 5
0.3%
102 Merere 7
0.4%
103 Tilko 3
0.2%
104 Dinki 50
2.8%
105 Genda Gerbi 4
0.2%
106 Kuslto 29
1.6%
107 G/Haro 5
0.3%
108 Gole Gendo Koclto 19
1%
109 Gole 11
0.6%
110 Tabia 5
0.3%
111 Galon 9
0.5%
112 Gole Genda Barentu 5
0.3%
113 H/Goro 2
0.1%
114 Doma 55
3%
115 Kokob 9
0.5%
116 Negot 2
0.1%
117 Kae Sefer 6
0.3%
118 Wacho 2
0.1%
119 Keysha 5
0.3%
120 Megazen Sefer 7
0.4%
121 Yemenged Sefer 1
0.1%
122 Omala 8
0.4%
123 Church Sefer 3
0.2%
124 Enquiry Beret 20
1.1%
125 Shume Sha 39
2.2%
126 Deorwo 16
0.9%
127 Aba Aregay 9
0.5%
128 Tewala 16
0.9%
129 Shikt 1
0.1%
130 Addis Amba 2
0.1%
131 Dendawhl 2
0.1%
132 Takora 5
0.3%
133 Denekel/ Bonito 7
0.4%
134 Semidoro 0
0%
135 Kosien 18
1%
136 Weielawer 1
0.1%
137 Errata 1
0.1%
138 Buko 11
0.6%
139 Degaga 18
1%
140 Emo 7
0.4%
141 Shalota 13
0.7%
142 Amola 10
0.6%
143 Arda 19
1%
144 Arda chikota 7
0.4%
145 Alelu 3
0.2%
146 kura 18
1%
147 Mona Barumso 13
0.7%
148 Tineshu Kamo 6
0.3%
149 Kokola 26
1.4%
150 Gerdi 9
0.5%
151 Habt 8
0.4%
152 Abeyi 8
0.4%
153 Abejede 4
0.2%
154 Yebbo 6
0.3%
155 Abukako 4
0.2%
156 Famo 4
0.2%
157 Yero 4
0.2%
158 Buraya 5
0.3%
159 Wayyu 1
0.1%
160 Somdo 0
0%
161 Lalo Mabe 3
0.2%
162 Kajaro 7
0.4%
163 Kulto 9
0.5%
164 Gole Ganda Sole 9
0.5%
165 Genda Muuda 8
0.4%
166 Kura 0
0%
167 Elemo 1
0.1%
168 Boba Sodere 0
0%
169 Dodota 3
0.2%
170 Dolo 13
0.7%
171 Bursa 7
0.4%
172 Adado 29
1.6%
173 Hago 13
0.7%
174 Waissa 8
0.4%
175 Kisha 24
1.3%
176 Bukicho 13
0.7%
177 Invester Chample /Roba 6
0.3%
178 Hassene/ Waissa 4
0.2%
179 Dude 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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