Feed the Future Nigeria Livelihoods Project 2015
Nigeria, 2015
Get MicrodataCreated on
Sep 19, 2018
Last modified
Sep 19, 2018
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- Data files
- ftfnlp_baselinedata_publish_06142017
Village Name clean (villagecode)
Data file: ftfnlp_baselinedata_publish_06142017
Overview
Valid:
3976
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
4
End:
6
Width:
3
Range:
-
Format:
Questions and instructions
Literal question
Village Name
Categories
| Value | Category |
|---|---|
| 101 | Junju/dampa |
| 102 | Tsamiya |
| 103 | Garin arawa |
| 104 | Dangarso |
| 105 | Dagere |
| 106 | Ujariyo |
| 107 | Group 5 - guddare |
| 108 | Group 5 - asarara |
| 109 | Group 5 - tungar lande |
| 110 | Group 6 - sargagi |
| 111 | Group 6 - fandoga |
| 113 | Balesa |
| 114 | Group 6 - ujariyo karama |
| 115 | Unguwar kwaire |
| 117 | Hircinga |
| 118 | Janzomo |
| 119 | Lagga |
| 120 | Bamirunji |
| 121 | Bamimairuwa |
| 123 | Randali |
| 125 | Gazon fulani |
| 126 | Gazon zabarmawa |
| 128 | Kawara |
| 129 | Group 4 - unguwar nahuda |
| 130 | Dadigoma |
| 131 | Group 4 - unguwar nainu |
| 132 | Group 4 - illelar mumini |
| 133 | Group 3 - yamama |
| 134 | Group 3 - y/ketare |
| 135 | Harasawa |
| 136 | Takatsaba |
| 137 | Shagari |
| 138 | Wasada |
| 139 | Huda |
| 140 | Matankari |
| 141 | Nufawa |
| 142 | Mahuta/banizumbu |
| 143 | Unguwar narba |
| 144 | Bakan yadiya |
| 145 | Sabongarin nufawa |
| 146 | Makera |
| 147 | Maurida |
| 148 | Unguwar mijin nana |
| 149 | Bungajawo |
| 150 | Gargariyo |
| 151 | Babban dutsi |
| 152 | Tungarburji |
| 153 | Gwambara |
| 154 | Unguwar dogo |
| 155 | Danyeku |
| 156 | Tungar fulani |
| 157 | Sabon gari |
| 158 | Unguwar tudu |
| 159 | Unguwar mai-arewa |
| 201 | Kanya |
| 202 | Group 1 - gwazawa |
| 203 | Gora |
| 204 | Rafingora |
| 205 | Kango |
| 207 | Udeci |
| 208 | Mai-inuwa |
| 209 | Magaba |
| 210 | Udoba/mesa/gamji |
| 211 | Zuttu |
| 212 | Rade |
| 213 | Rambo |
| 214 | Koro |
| 215 | Ikara |
| 216 | Chediya/kimpi |
| 217 | Matseri |
| 218 | Kundumku |
| 219 | Sabonlayi/tudunwada |
| 220 | Sakawa |
| 221 | Group 1 - gwammawa |
| 222 | Group 2 - waje |
| 223 | Chonoko |
| 224 | Zuttun makaranta |
| 226 | Unashi |
| 227 | Yar-ali |
| 229 | Dokar kwaya |
| 230 | Wadoko |
| 231 | Yarbuga |
| 233 | Wawisa (i, ii & iii)/t/wawai |
| 234 | Group 2 - udungucho |
| 235 | Gayale |
| 237 | Kyabu (marafa) |
| 238 | Haji |
| 242 | Chikanwa |
| 243 | Tungar warri |
| 244 | Maga |
| 245 | Koliko |
| 246 | Tungar bizo |
| 247 | T/wazga |
| 249 | Luggu |
| 250 | Tashar icce |
| 251 | Kamfani |
| 252 | Kumahe |
| 254 | Sami-boka |
| 255 | Kuntumo |
| 256 | Rumna |
| 257 | Madattai |
| 258 | Seme/digoga |
| 259 | Sarkin-kudu |
| 260 | Tafki |
| 261 | Danko |
| 262 | Rafin gora (ii) |
| 263 | Ilbu |
| 264 | Masama |
| 265 | Gonfi |
| 266 | Yelmo |
| 267 | Shindi |
| 269 | Kyale |
| 270 | Uhu |
| 271 | Babi/batutu |
| 272 | Ingarje |
| 273 | Bela |
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.