Impact Evaluation of a Video-based Nutrition Sensitive Agriculture Intervention 2023
Endline survey
Ethiopia, 2023
Get MicrodataCreated on
Mar 10, 2026
Last modified
Mar 10, 2026
Kebele (Kebele)
Data file: intervention_topic_head
Overview
Valid:
10571
Minimum:
73
Maximum:
310
Type:
Discrete
Width:
6
Format:
Numeric
Questions and instructions
Categories
| Value | Category |
|---|---|
| 1 | Adisgie Dingie |
| 2 | Arebia |
| 3 | Barcha |
| 4 | Chegenwawucha |
| 5 | Debir Zuria |
| 6 | Dirmara |
| 7 | Gendewa |
| 8 | Guramba Bata |
| 9 | Jangua |
| 10 | Jarjar |
| 11 | Serava |
| 12 | Sufa ankara |
| 13 | Ambachirha |
| 14 | Chihera |
| 15 | Deber Selam |
| 16 | Denkez |
| 17 | Dewa Damot |
| 18 | Hamsafeje |
| 19 | Lemiba |
| 20 | Meredo |
| 21 | Mitrha |
| 22 | Sendeba |
| 23 | Shor Sarwha |
| 24 | Tsiyon |
| 25 | Argemit |
| 26 | Enarj Sima |
| 27 | Dejiagimina |
| 28 | Enegena Fenterige |
| 29 | Felegi Zachima |
| 30 | Golew Kima |
| 31 | Kami Cherik |
| 32 | Mariyam T |
| 33 | Tamo Daworo |
| 34 | Titar Badime |
| 35 | Wofit |
| 36 | Yegossam |
| 37 | Agirate |
| 38 | Ameti |
| 39 | Arereti Zuria |
| 40 | Bologioregise |
| 41 | Chelle |
| 42 | Choba |
| 43 | Eranebuti |
| 44 | Finanajo |
| 45 | K/samera |
| 46 | Komebolesha |
| 47 | Rarati |
| 48 | W/gioregise |
| 49 | Agona |
| 50 | Ber |
| 51 | DebreSelam |
| 52 | Desqua |
| 53 | Elet Dibana |
| 54 | Goshberet |
| 55 | Lebet |
| 56 | Limon |
| 57 | Mikrie Hana |
| 58 | Shenbokoch |
| 59 | Sholekt |
| 60 | Wuchiba Senqua |
| 61 | Abiyot Frie |
| 62 | Ambatna |
| 63 | Chinqulit |
| 64 | Debay |
| 65 | Dewaro |
| 66 | Goshiye |
| 67 | Grbish |
| 68 | Kililt |
| 69 | Koti |
| 70 | Sefatira |
| 71 | Simarega |
| 72 | Walka |
| 73 | Aloshe |
| 74 | Arada Tare |
| 75 | Chancho |
| 76 | Elani Doyo |
| 77 | Gamo Duksi |
| 78 | Guber Baja |
| 79 | Hara Ale |
| 80 | Haro 4 |
| 81 | Jama |
| 82 | Kara Adano |
| 83 | Shawade |
| 84 | Waltahi Atota |
| 105 | Bilo Abayota |
| 106 | Bore Dassu |
| 107 | Dakano Elke |
| 108 | Cuca Saredo |
| 109 | Garo Saredo |
| 110 | Gona Chala |
| 111 | Oda Buli |
| 112 | Omo Duri |
| 113 | Sombo Bedela |
| 114 | Yalla Saseche |
| 137 | Alga Galeyi |
| 138 | Calabaya Madane |
| 139 | Canco Robe |
| 140 | Dawale Dera |
| 141 | Gutu Urji |
| 142 | Ilala Saden |
| 143 | Kore Sabi |
| 144 | Mazora Golba |
| 145 | Ta'a Gola |
| 146 | Tuka Godeti |
| 147 | Borce |
| 148 | Gorba |
| 149 | Gullit |
| 150 | Horaa |
| 151 | Inaftu |
| 152 | Indodee |
| 153 | Kusaye |
| 154 | Lanqisa |
| 155 | Liti Mado |
| 156 | Tulu Kormaa |
| 157 | Agate |
| 158 | Edegete |
| 159 | ESKUT |
| 160 | Esmander |
| 161 | Fucharie |
| 162 | Kebule |
| 163 | QANTA |
| 164 | Sabola |
| 165 | Senne Qorfecha |
| 166 | Worko |
| 167 | Amesha mecheta |
| 168 | Andiracha |
| 169 | Dacha Difa |
| 170 | Gaweti |
| 171 | Mara kuni |
| 172 | Esheta |
| 173 | Oda |
| 174 | Tuga |
| 175 | Woditi |
| 176 | Yeda |
| 177 | Achiwa |
| 178 | Bera |
| 179 | Ganiti |
| 180 | Gebakoro |
| 181 | Konda |
| 182 | Meligawa |
| 183 | Meshamelo |
| 184 | Ogti |
| 185 | Senbete |
| 186 | Shupa Dara |
| 187 | Shupa Shewa |
| 188 | Senteriya |
| 189 | Beka |
| 190 | Chereba |
| 191 | Choba(SNNP) |
| 192 | Gawa |
| 193 | Kuti |
| 194 | Michiti |
| 195 | Shomba Girawa |
| 196 | Tega |
| 197 | YabeGicha keda |
| 198 | Yabegicha Wulaga |
| 199 | Yeyibito |
| 200 | Zingaj |
| 201 | Meti Sagada |
| 202 | Chiri |
| 203 | Damotu |
| 204 | Kersa Warko |
| 205 | Kusaye Tiro |
| 206 | Sheda |
| 207 | Yawura |
| 208 | Atazo |
| 301 | Wenezra Gorete |
| 302 | Kefersa Gobbana |
| 303 | Layiye |
| 304 | Tach teda |
| 305 | Meteya Enedara |
| 306 | Yedit Enemy |
| 307 | Zigora |
| 308 | Denba |
| 309 | Keteti |
| 310 | Harawa - 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.