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Feed the Future Nigeria Livelihoods Project - Baseline Survey, 2015

Nigeria, 2015
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Reference ID
NGA_2015_FNLP-BS_v01_EN_M_v01_A_OCS
Producer(s)
Gautam Bastian, Sreelakshmi Papineni
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Sep 10, 2020
Last modified
Nov 08, 2022
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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: 101 - 273
Format: Numeric

Questions and instructions

Literal question
Village Name
Categories
Value Category Cases
101 Junju/dampa 49
1.2%
102 Tsamiya 92
2.3%
103 Garin arawa 9
0.2%
104 Dangarso 9
0.2%
105 Dagere 107
2.7%
106 Ujariyo 71
1.8%
107 Group 5 - guddare 30
0.8%
108 Group 5 - asarara 37
0.9%
109 Group 5 - tungar lande 20
0.5%
110 Group 6 - sargagi 31
0.8%
111 Group 6 - fandoga 8
0.2%
113 Balesa 26
0.7%
114 Group 6 - ujariyo karama 9
0.2%
115 Unguwar kwaire 22
0.6%
117 Hircinga 9
0.2%
118 Janzomo 46
1.2%
119 Lagga 106
2.7%
120 Bamirunji 52
1.3%
121 Bamimairuwa 66
1.7%
123 Randali 88
2.2%
125 Gazon fulani 3
0.1%
126 Gazon zabarmawa 17
0.4%
128 Kawara 24
0.6%
129 Group 4 - unguwar nahuda 27
0.7%
130 Dadigoma 0
0%
131 Group 4 - unguwar nainu 18
0.5%
132 Group 4 - illelar mumini 2
0.1%
133 Group 3 - yamama 48
1.2%
134 Group 3 - y/ketare 18
0.5%
135 Harasawa 37
0.9%
136 Takatsaba 0
0%
137 Shagari 0
0%
138 Wasada 0
0%
139 Huda 48
1.2%
140 Matankari 107
2.7%
141 Nufawa 66
1.7%
142 Mahuta/banizumbu 12
0.3%
143 Unguwar narba 28
0.7%
144 Bakan yadiya 34
0.9%
145 Sabongarin nufawa 0
0%
146 Makera 0
0%
147 Maurida 116
2.9%
148 Unguwar mijin nana 70
1.8%
149 Bungajawo 62
1.6%
150 Gargariyo 45
1.1%
151 Babban dutsi 40
1%
152 Tungarburji 0
0%
153 Gwambara 34
0.9%
154 Unguwar dogo 27
0.7%
155 Danyeku 19
0.5%
156 Tungar fulani 14
0.4%
157 Sabon gari 10
0.3%
158 Unguwar tudu 38
1%
159 Unguwar mai-arewa 20
0.5%
201 Kanya 54
1.4%
202 Group 1 - gwazawa 62
1.6%
203 Gora 17
0.4%
204 Rafingora 0
0%
205 Kango 26
0.7%
207 Udeci 30
0.8%
208 Mai-inuwa 80
2%
209 Magaba 19
0.5%
210 Udoba/mesa/gamji 42
1.1%
211 Zuttu 55
1.4%
212 Rade 33
0.8%
213 Rambo 56
1.4%
214 Koro 24
0.6%
215 Ikara 18
0.5%
216 Chediya/kimpi 21
0.5%
217 Matseri 7
0.2%
218 Kundumku 16
0.4%
219 Sabonlayi/tudunwada 24
0.6%
220 Sakawa 13
0.3%
221 Group 1 - gwammawa 6
0.2%
222 Group 2 - waje 36
0.9%
223 Chonoko 11
0.3%
224 Zuttun makaranta 71
1.8%
226 Unashi 112
2.8%
227 Yar-ali 36
0.9%
229 Dokar kwaya 9
0.2%
230 Wadoko 62
1.6%
231 Yarbuga 19
0.5%
233 Wawisa (i, ii & iii)/t/wawai 27
0.7%
234 Group 2 - udungucho 40
1%
235 Gayale 38
1%
237 Kyabu (marafa) 60
1.5%
238 Haji 35
0.9%
242 Chikanwa 0
0%
243 Tungar warri 12
0.3%
244 Maga 144
3.6%
245 Koliko 8
0.2%
246 Tungar bizo 16
0.4%
247 T/wazga 24
0.6%
249 Luggu 0
0%
250 Tashar icce 44
1.1%
251 Kamfani 6
0.2%
252 Kumahe 30
0.8%
254 Sami-boka 0
0%
255 Kuntumo 11
0.3%
256 Rumna 36
0.9%
257 Madattai 31
0.8%
258 Seme/digoga 80
2%
259 Sarkin-kudu 28
0.7%
260 Tafki 8
0.2%
261 Danko 72
1.8%
262 Rafin gora (ii) 0
0%
263 Ilbu 8
0.2%
264 Masama 29
0.7%
265 Gonfi 45
1.1%
266 Yelmo 63
1.6%
267 Shindi 66
1.7%
269 Kyale 43
1.1%
270 Uhu 44
1.1%
271 Babi/batutu 44
1.1%
272 Ingarje 16
0.4%
273 Bela 38
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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