Conflict and Violence in Nigeria 2017
First Round
Nigeria, 2017
Get Microdata
Reference ID
NGA-NBS-CVN-2017-v1.0
Producer(s)
National Bureau of Statistics (NBS), World Bank
Metadata
Created on
Apr 11, 2018
Last modified
Apr 11, 2018
Page views
807471
Downloads
238813
Household Members:6 (members__6)
Data file: NE_merged_baseline_COMevent
Overview
Valid:
521
Invalid:
0
Type:
Discrete
Start:
1308
End:
1324
Width:
17
Range:
-
Format:
character
Questions and instructions
Literal question
Household Members:6
Categories
| Value | Category | Cases | |
|---|---|---|---|
| ##N/A## | 121 |
23.2%
|
|
| ABBAKAR | 6 |
1.2%
|
|
| ABDULHMID M | 11 |
2.1%
|
|
| ABDULLAHI | 1 |
0.2%
|
|
| ABRAHAM MARKUS | 2 |
0.4%
|
|
| ABSOLON | 4 |
0.8%
|
|
| ADALINE | 1 |
0.2%
|
|
| ADAMA | 2 |
0.4%
|
|
| ADAMU | 4 |
0.8%
|
|
| ADO | 1 |
0.2%
|
|
| AHMADU | 1 |
0.2%
|
|
| AISHA | 4 |
0.8%
|
|
| AISHA HARUNA | 2 |
0.4%
|
|
| AISHA SULE | 5 |
1%
|
|
| AISHA UMAR | 1 |
0.2%
|
|
| ALI | 1 |
0.2%
|
|
| ALLAHVIA | 1 |
0.2%
|
|
| AMINA | 1 |
0.2%
|
|
| AMINA BUBA | 3 |
0.6%
|
|
| AMINA NASIRU | 7 |
1.3%
|
|
| ANAFIYA S | 2 |
0.4%
|
|
| ANTY | 3 |
0.6%
|
|
| ATIKA D. | 1 |
0.2%
|
|
| AUWAL MOH'D | 1 |
0.2%
|
|
| BA KAKA | 9 |
1.7%
|
|
| BABY TARHYE | 6 |
1.2%
|
|
| BAKURA | 8 |
1.5%
|
|
| BASHIR | 4 |
0.8%
|
|
| BINTA | 2 |
0.4%
|
|
| BINTA MOHD | 4 |
0.8%
|
|
| DAKAM PWASATO | 1 |
0.2%
|
|
| DAN SABBI | 1 |
0.2%
|
|
| DANJUMA | 2 |
0.4%
|
|
| ELIZABETH | 4 |
0.8%
|
|
| EMMANUEL LEVI | 8 |
1.5%
|
|
| EMOSE NYAJON | 1 |
0.2%
|
|
| ESTHER ABOKI | 1 |
0.2%
|
|
| ESTSUANO | 2 |
0.4%
|
|
| FAIZU IBRAHIM | 3 |
0.6%
|
|
| FALIHA | 1 |
0.2%
|
|
| FALMATA MUSTAPHA | 6 |
1.2%
|
|
| FARIDA IBRAHIM | 1 |
0.2%
|
|
| FATIMA | 1 |
0.2%
|
|
| FATIMA MOHD MAIDO | 4 |
0.8%
|
|
| FATSUMA | 1 |
0.2%
|
|
| FATSUMA GARBA | 1 |
0.2%
|
|
| FELICIA P | 1 |
0.2%
|
|
| FILO JOHN | 1 |
0.2%
|
|
| FILO STEVEN | 6 |
1.2%
|
|
| GADAFI CHIROMA | 3 |
0.6%
|
|
| GAMBO | 3 |
0.6%
|
|
| GLORY | 2 |
0.4%
|
|
| HABIBU | 1 |
0.2%
|
|
| HADIZA | 2 |
0.4%
|
|
| HAFISAT IDI | 1 |
0.2%
|
|
| HAJJA AMINA | 1 |
0.2%
|
|
| HALIMA BASHIRU | 1 |
0.2%
|
|
| HAMSATU ALI | 2 |
0.4%
|
|
| HARUNA | 1 |
0.2%
|
|
| HARUNA AHMADU | 2 |
0.4%
|
|
| HASSAN | 8 |
1.5%
|
|
| HASSANA | 1 |
0.2%
|
|
| HUSSAINI MOHD | 1 |
0.2%
|
|
| HUZAIFA | 2 |
0.4%
|
|
| Hauwau | 1 |
0.2%
|
|
| IBRAHIM | 13 |
2.5%
|
|
| IBRAHIM M | 4 |
0.8%
|
|
| IBRAHIM YUNANA | 4 |
0.8%
|
|
| INUSA | 2 |
0.4%
|
|
| ISA AHMED | 5 |
1%
|
|
| ISAH | 1 |
0.2%
|
|
| ISAH MOH'D | 6 |
1.2%
|
|
| ISHAKU KWATRI | 5 |
1%
|
|
| JAMES PETER | 2 |
0.4%
|
|
| KABITU JINGI | 4 |
0.8%
|
|
| KALTIME | 2 |
0.4%
|
|
| KALTUMAI | 1 |
0.2%
|
|
| KANI | 1 |
0.2%
|
|
| KHALIFAT | 2 |
0.4%
|
|
| LADI | 1 |
0.2%
|
|
| LAMAH | 1 |
0.2%
|
|
| LAMI | 6 |
1.2%
|
|
| LARABA | 1 |
0.2%
|
|
| MALAKU | 3 |
0.6%
|
|
| MAMMAN | 1 |
0.2%
|
|
| MANSIRU | 4 |
0.8%
|
|
| MARTHA LUKA | 7 |
1.3%
|
|
| MOH'D BELLO | 2 |
0.4%
|
|
| MOHAMMADU SAIDU | 1 |
0.2%
|
|
| MOHAMMED | 1 |
0.2%
|
|
| MOHAMMED BUHARI | 1 |
0.2%
|
|
| MOHD ABDULLAHI | 1 |
0.2%
|
|
| MUSA | 7 |
1.3%
|
|
| MUSEH MIJINYAWA | 1 |
0.2%
|
|
| MUSTAPHA | 1 |
0.2%
|
|
| MUTTARI | 3 |
0.6%
|
|
| NAFISA | 1 |
0.2%
|
|
| NAFIU | 1 |
0.2%
|
|
| NOAME | 7 |
1.3%
|
|
| PASUMA ZANGOMA | 2 |
0.4%
|
|
| PATIENCE TERI | 6 |
1.2%
|
|
| PHILEMON BITRUS | 6 |
1.2%
|
|
| PHILIMOPN | 2 |
0.4%
|
|
| RIMOE DANLADI | 8 |
1.5%
|
|
| RUKAIYA ADAMU | 3 |
0.6%
|
|
| SADDAM INUSA | 1 |
0.2%
|
|
| SADIK HABAKAR | 1 |
0.2%
|
|
| SADIQ ISA | 9 |
1.7%
|
|
| SAFIYA BALA | 2 |
0.4%
|
|
| SALMA MANU | 10 |
1.9%
|
|
| SANKABE | 2 |
0.4%
|
|
| SARATU | 8 |
1.5%
|
|
| SAUDE UMAR | 4 |
0.8%
|
|
| SHAMSIYA | 4 |
0.8%
|
|
| SONIYA | 1 |
0.2%
|
|
| STELLA JAMES | 4 |
0.8%
|
|
| TALATU | 2 |
0.4%
|
|
| TINYANG | 5 |
1%
|
|
| UMAR SHAIBU | 7 |
1.3%
|
|
| UMARU | 1 |
0.2%
|
|
| UMMA | 1 |
0.2%
|
|
| UMMI | 2 |
0.4%
|
|
| WAINDO | 5 |
1%
|
|
| WUNAMA C | 1 |
0.2%
|
|
| YA FALMATA | 1 |
0.2%
|
|
| YAFATI GANA | 8 |
1.5%
|
|
| YUSUF MAMUDA | 1 |
0.2%
|
|
| ZAINAB ALH USMAN | 5 |
1%
|
|
| ZULAI UMAR | 8 |
1.5%
|
|
| ZUWARA | 1 |
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.