Nigeria - Demographic and Health Survey, 2008, Fifth Round
Reference ID | NGA-NPC-DHS-2008-v1.0 |
Year | 2008 |
Country | Nigeria |
Producer(s) | National Population Commission (NPC) - Federal Government of Nigeria (FGN) |
Sponsor(s) | President’s Emergency Plan for AIDS Relief - PEPFAR - funding United Nations Population Fund - UNFPA - funding MEASURE DHS Project - MEASURE - funding |
Metadata | Download DDI Download RDF |
Created on | Oct 18, 2010 |
Last modified | Dec 02, 2013 |
Page views | 1456304 |
Downloads | 116467 |
Ethnicity
(Sm119)
File: Mens
File: Mens
Overview
Type:
Continuous Format: numeric Width: 3 Decimals: 0 Range: 1-339 Invalid: 999 | Valid cases: 15460 Invalid: 1262 Minimum: 1 Maximum: 339 |
Categories
Value | Category | Cases | |
---|---|---|---|
1 | Abua | 8 | 0.1% |
2 | Adara/ adarawa | 17 | 0.1% |
3 | Adun | 1 | 0.0% |
4 | Afcabeya | 0 | 0.0% |
5 | Afemai | 1 | 0.0% |
6 | Afizire | 0 | 0.0% |
7 | Agatu | 0 | 0.0% |
8 | Agbassa | 0 | 0.0% |
9 | Agbor | 0 | 0.0% |
10 | Afo | 18 | 0.1% |
11 | Ajowa | 0 | 0.0% |
12 | Akpa | 0 | 0.0% |
13 | Akwai | 0 | 0.0% |
14 | Akye | 0 | 0.0% |
15 | Alago | 49 | 0.3% |
16 | Amamog | 0 | 0.0% |
17 | Amo | 0 | 0.0% |
18 | A'na | 0 | 0.0% |
19 | Anaguta | 25 | 0.2% |
20 | Ankwai | 0 | 0.0% |
21 | Annang | 131 | 0.8% |
22 | Arab (smg: is this really an ethnicity?) | 0 | 0.0% |
23 | Arabo (smg: same here, is this a diff spelling for 'arab'?) | 0 | 0.0% |
24 | Arbar | 0 | 0.0% |
25 | Arugu | 0 | 0.0% |
26 | Aten | 1 | 0.0% |
27 | Attakar | 0 | 0.0% |
28 | Auchi | 66 | 0.4% |
29 | Aulliminden | 0 | 0.0% |
30 | Awo | 18 | 0.1% |
31 | Ayetoro gbede | 0 | 0.0% |
32 | Badarare | 0 | 0.0% |
33 | Bade/ badawe | 3 | 0.0% |
34 | Bafeke | 1 | 0.0% |
35 | Bagathiya | 0 | 0.0% |
36 | Baggara | 0 | 0.0% |
37 | Bagunge/ badagire | 1 | 0.0% |
38 | Bahnake | 1 | 0.0% |
39 | Baji/ biji | 2 | 0.0% |
40 | Bajju | 15 | 0.1% |
41 | Bambaro | 2 | 0.0% |
42 | Bambuka | 0 | 0.0% |
43 | Bandawa | 5 | 0.0% |
44 | Banguji | 0 | 0.0% |
45 | Bankalawa | 0 | 0.0% |
46 | Baohama (smg: keep?) | 7 | 0.0% |
47 | Barabaci | 0 | 0.0% |
48 | Barawa | 0 | 0.0% |
49 | Bargawa | 1 | 0.0% |
50 | Bassa | 35 | 0.2% |
51 | Bekworas | 1 | 0.0% |
52 | Beriberi/ kanuri | 0 | 0.0% |
53 | Berom | 102 | 0.7% |
54 | Bini/edo | 138 | 0.9% |
55 | Bogom | 22 | 0.1% |
56 | Boiyawa/ bozaya | 2 | 0.0% |
57 | Bolawa/ bolewa | 9 | 0.1% |
58 | Bolawa (smg: dup of 56, delete) | 0 | 0.0% |
59 | Buduma | 0 | 0.0% |
60 | Buko | 0 | 0.0% |
61 | Bura/ babur | 39 | 0.3% |
62 | Buzu | 12 | 0.1% |
63 | Byazhi | 0 | 0.0% |
64 | Calabar | 0 | 0.0% |
65 | Chala | 0 | 0.0% |
66 | Chamba | 47 | 0.3% |
67 | Chiba | 0 | 0.0% |
68 | Chibok(g) | 3 | 0.0% |
69 | Chip | 1 | 0.0% |
70 | Dadiya | 0 | 0.0% |
71 | Dakarkari/ badakare | 82 | 0.5% |
72 | Dakka/ doka | 5 | 0.0% |
73 | Dangula | 0 | 0.0% |
74 | Daurawa/ dagarawa | 0 | 0.0% |
75 | Defaka | 0 | 0.0% |
76 | Degima | 0 | 0.0% |
77 | Delta ibo | 0 | 0.0% |
78 | Dibo | 19 | 0.1% |
79 | Diguza | 0 | 0.0% |
80 | Djerma | 0 | 0.0% |
81 | Dmoko | 0 | 0.0% |
82 | Dolchi | 0 | 0.0% |
83 | Ebira/ igbira | 195 | 1.3% |
84 | Ebu | 0 | 0.0% |
85 | Efik | 76 | 0.5% |
86 | Egba | 1 | 0.0% |
87 | Egbado | 0 | 0.0% |
88 | Eggon (smg: egi too?) | 110 | 0.7% |
89 | Egun | 7 | 0.0% |
90 | Eket | 0 | 0.0% |
91 | Ekoi | 232 | 1.5% |
92 | Ekpeye/ afisa/ epie | 9 | 0.1% |
93 | Ekpeye (smg: dup, delete) | 0 | 0.0% |
94 | Ekulu | 0 | 0.0% |
95 | Eleme | 0 | 0.0% |
96 | Emu | 1 | 0.0% |
97 | Esan | 87 | 0.6% |
98 | Etina | 0 | 0.0% |
99 | Etsako | 0 | 0.0% |
100 | Etulo | 15 | 0.1% |
101 | Hadejawa (smg: was initially ezhtako) | 0 | 0.0% |
102 | Fanso | 0 | 0.0% |
103 | Femawa | 0 | 0.0% |
104 | Fer | 1 | 0.0% |
105 | Filiya/ fali | 1 | 0.0% |
106 | Fon | 0 | 0.0% |
107 | Foron | 0 | 0.0% |
108 | French (smg: shld this be kept?) | 0 | 0.0% |
109 | Fulani | 1073 | 6.9% |
110 | Gamaku | 0 | 0.0% |
111 | Gamaru | 0 | 0.0% |
112 | Gamuni | 0 | 0.0% |
113 | Gana gana | 14 | 0.1% |
114 | Ganawuri | 0 | 0.0% |
115 | Gbaju/ gbagi | 180 | 1.2% |
116 | Gede/ gude | 28 | 0.2% |
117 | Gerawa | 0 | 0.0% |
118 | Gizmawa | 0 | 0.0% |
119 | Glauda | 0 | 0.0% |
120 | Gmenchi | 0 | 0.0% |
121 | Gomo/ gamoyaya | 17 | 0.1% |
122 | Gobiri/ gobirawa/ bogobiri | 0 | 0.0% |
123 | Gujjurawa | 1 | 0.0% |
124 | Guemai | 2 | 0.0% |
125 | Gumbarawa | 0 | 0.0% |
126 | Gunganchi | 17 | 0.1% |
127 | Gwandara | 37 | 0.2% |
128 | Gwantu | 0 | 0.0% |
129 | Hankwe | 1 | 0.0% |
130 | Hausa | 3376 | 21.8% |
131 | Higgi | 40 | 0.3% |
132 | Ibariba | 0 | 0.0% |
133 | Ibibio | 324 | 2.1% |
134 | Ichen | 6 | 0.0% |
135 | Idanre | 0 | 0.0% |
136 | Idoma | 132 | 0.9% |
137 | Igala | 277 | 1.8% |
138 | Igbo/ ibo | 1933 | 12.5% |
139 | Igede | 38 | 0.2% |
140 | Ijaw/ izon | 672 | 4.3% |
141 | Ijede | 0 | 0.0% |
142 | Ijeme | 0 | 0.0% |
143 | Ika | 59 | 0.4% |
144 | Ikajo | 0 | 0.0% |
145 | Ikara | 0 | 0.0% |
146 | Ikpeshi | 1 | 0.0% |
147 | Ikpide | 0 | 0.0% |
148 | Ikulu | 0 | 0.0% |
149 | Ikwere | 34 | 0.2% |
150 | Ilaje | 1 | 0.0% |
151 | Irigwe | 0 | 0.0% |
152 | Isha | 0 | 0.0% |
153 | Isoko | 60 | 0.4% |
154 | Itsekiri | 20 | 0.1% |
155 | Jaba | 51 | 0.3% |
156 | Jajiri | 0 | 0.0% |
157 | Jakatoe | 0 | 0.0% |
158 | Jaku | 0 | 0.0% |
159 | Jara | 0 | 0.0% |
160 | Jarawa | 29 | 0.2% |
161 | Jarawa (smg: dup, delete) | 0 | 0.0% |
162 | Jibu | 2 | 0.0% |
163 | Jonjo | 21 | 0.1% |
164 | Jukun | 63 | 0.4% |
165 | Kabawa | 0 | 0.0% |
166 | Kadara | 10 | 0.1% |
167 | Kagoma | 2 | 0.0% |
168 | Kagoro | 5 | 0.0% |
169 | Kaka | 0 | 0.0% |
170 | Kakanda | 0 | 0.0% |
171 | Kamantam | 0 | 0.0% |
172 | Kambari | 30 | 0.2% |
173 | Kambu/ kangu | 0 | 0.0% |
174 | Kamuku | 9 | 0.1% |
175 | Kanakuru | 0 | 0.0% |
176 | Kanawa (hausa) | 0 | 0.0% |
177 | Kaninko | 20 | 0.1% |
178 | Kantanawa | 0 | 0.0% |
179 | Kanuri/ beriberi | 361 | 2.3% |
180 | Manga (smg: originally kanuri which duped 179) | 50 | 0.3% |
181 | Karekare | 56 | 0.4% |
182 | Kataf/ (smg: katef?)/ atyap | 34 | 0.2% |
183 | Kento | 0 | 0.0% |
184 | Kibaku | 16 | 0.1% |
185 | Kilba | 25 | 0.2% |
186 | Kirdi | 0 | 0.0% |
187 | Kodki | 1 | 0.0% |
188 | Kofyar | 0 | 0.0% |
189 | Kona | 10 | 0.1% |
190 | Koro | 54 | 0.3% |
191 | Koto | 1 | 0.0% |
192 | Kuenuem | 0 | 0.0% |
193 | Kumbo | 4 | 0.0% |
194 | Kunkawa/ kawa | 0 | 0.0% |
195 | Kurama | 1 | 0.0% |
196 | Kutep | 40 | 0.3% |
197 | Kuturm | 1 | 0.0% |
198 | Kwale/ ukwuani | 66 | 0.4% |
199 | Kwanzo | 1 | 0.0% |
200 | Lagelu | 1 | 0.0% |
201 | Lantang | 0 | 0.0% |
202 | Lemoro | 7 | 0.0% |
203 | Loh | 7 | 0.0% |
204 | Lunguda | 43 | 0.3% |
205 | Maba/ mbadowa | 0 | 0.0% |
206 | Mada | 36 | 0.2% |
207 | Mafa/ maka/ maga | 15 | 0.1% |
208 | Mambila | 30 | 0.2% |
209 | Mandara | 5 | 0.0% |
210 | Mangus | 0 | 0.0% |
211 | Marghi/ mangi | 52 | 0.3% |
212 | Mbwa | 0 | 0.0% |
213 | Mingo/ miyoungo | 2 | 0.0% |
214 | Mirnang | 5 | 0.0% |
215 | Montor | 1 | 0.0% |
216 | Mtchiga/ michika | 1 | 0.0% |
217 | Mumuye | 61 | 0.4% |
218 | Munga | 1 | 0.0% |
219 | Mupung | 7 | 0.0% |
220 | Mushere | 1 | 0.0% |
221 | Mwagavol | 26 | 0.2% |
222 | Naiawum | 0 | 0.0% |
223 | Namoen | 0 | 0.0% |
224 | Ndokwa | 0 | 0.0% |
225 | Ndola | 3 | 0.0% |
226 | Ngamo | 7 | 0.0% |
227 | Ukale (smg: originally was ngas) | 33 | 0.2% |
228 | Ngoshe | 0 | 0.0% |
229 | Nili | 0 | 0.0% |
230 | Ninnma | 0 | 0.0% |
231 | Ninzom | 61 | 0.4% |
232 | Nkoroo | 1 | 0.0% |
233 | Nnebe | 0 | 0.0% |
234 | Numana | 0 | 0.0% |
235 | Nungu | 0 | 0.0% |
236 | Nunku | 0 | 0.0% |
237 | Nupe | 124 | 0.8% |
238 | Obubua | 2 | 0.0% |
239 | Odu | 0 | 0.0% |
240 | Ogoja | 21 | 0.1% |
241 | Ogoni | 42 | 0.3% |
242 | Ogugu | 1 | 0.0% |
243 | Okpe/ okpella | 0 | 0.0% |
244 | Omele | 0 | 0.0% |
245 | Ora | 0 | 0.0% |
246 | Oron | 55 | 0.4% |
247 | Owan | 2 | 0.0% |
249 | Owo | 0 | 0.0% |
250 | Pa'awa | 0 | 0.0% |
251 | Paburi | 0 | 0.0% |
252 | Paibun | 0 | 0.0% |
253 | Panya | 0 | 0.0% |
254 | Pasama | 0 | 0.0% |
255 | Pero | 0 | 0.0% |
256 | Piya | 0 | 0.0% |
257 | Pyem | 10 | 0.1% |
258 | Rukuba | 1 | 0.0% |
259 | Rulere | 14 | 0.1% |
260 | Rundawa | 0 | 0.0% |
261 | Sayawa/ siyama | 16 | 0.1% |
262 | Sekere | 0 | 0.0% |
263 | Sharawa | 0 | 0.0% |
264 | Shomo | 0 | 0.0% |
265 | Shuwa | 59 | 0.4% |
266 | Somunka | 0 | 0.0% |
267 | Sullubawa | 0 | 0.0% |
268 | Sura | 1 | 0.0% |
269 | Taira | 0 | 0.0% |
270 | Tangale | 54 | 0.3% |
271 | Tangale | 0 | 0.0% |
272 | Tarok | 91 | 0.6% |
273 | Tera | 4 | 0.0% |
274 | Teskwa | 0 | 0.0% |
275 | Tiguni [?] | 1 | 0.0% |
276 | Tiv | 415 | 2.7% |
277 | Tiyari | 0 | 0.0% |
278 | Tula | 21 | 0.1% |
279 | Ubaija | 0 | 0.0% |
280 | Ugbia | 0 | 0.0% |
281 | Uhionigbe | 0 | 0.0% |
282 | Ukwuani | 0 | 0.0% |
283 | Urhobo | 125 | 0.8% |
284 | Uyo | 0 | 0.0% |
285 | Uzaurue | 0 | 0.0% |
286 | Uzeba | 1 | 0.0% |
287 | Waja | 65 | 0.4% |
288 | Waka | 0 | 0.0% |
289 | Wanu | 0 | 0.0% |
290 | Wari | 1 | 0.0% |
291 | Warjawa | 0 | 0.0% |
292 | Wodaabe | 0 | 0.0% |
293 | Wurkun | 0 | 0.0% |
294 | Yakurr | 4 | 0.0% |
295 | Yandang | 2 | 0.0% |
296 | Yendre | 0 | 0.0% |
297 | Yonubi | 1 | 0.0% |
298 | Yoruba | 2427 | 15.7% |
299 | Zabarmawa | 19 | 0.1% |
300 | Others (foreigners) | 286 | 1.8% |
301 | Kaje | 0 | 0.0% |
302 | Igbanko | 10 | 0.1% |
303 | Okori/ ogori | 17 | 0.1% |
304 | Migili | 0 | 0.0% |
305 | Gwari | 0 | 0.0% |
306 | Uru | 0 | 0.0% |
307 | Okirika | 2 | 0.0% |
308 | Edi | 1 | 0.0% |
309 | Ogba | 0 | 0.0% |
310 | Moroa | 0 | 0.0% |
311 | Marwa | 2 | 0.0% |
312 | Toff | 4 | 0.0% |
313 | Fulfulde | 0 | 0.0% |
314 | Kabba/ okun | 39 | 0.3% |
315 | Bakabe | 1 | 0.0% |
316 | Burmanch | 0 | 0.0% |
317 | Kalabari | 0 | 0.0% |
318 | (blank, never used) | 0 | 0.0% |
319 | (blank, never used) | 0 | 0.0% |
320 | Miship | 0 | 0.0% |
321 | Karimjo | 15 | 0.1% |
322 | Kwa | 1 | 0.0% |
323 | Angas | 53 | 0.3% |
324 | Bobari | 3 | 0.0% |
325 | Yarimawa | 0 | 0.0% |
326 | Bakenga | 0 | 0.0% |
327 | Agazawa | 0 | 0.0% |
328 | Gwoza | 1 | 0.0% |
329 | Zalidva | 1 | 0.0% |
330 | Nyangdang | 10 | 0.1% |
331 | Ngezim | 21 | 0.1% |
332 | Hanbagda | 1 | 0.0% |
333 | Njanyi | 17 | 0.1% |
334 | Dumak | 10 | 0.1% |
335 | Kwalla | 6 | 0.0% |
336 | Mbula and yeskwa (unrelated, but same code assigned by two d | 7 | 0.0% |
337 | Bile | 3 | 0.0% |
338 | Offa | 0 | 0.0% |
339 | Yungur | 33 | 0.2% |
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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