Food Insecurity in Conflict Affected Regions in Nigeria 2017
Second Round
Nigeria, 2017
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Reference ID
NGA-NBS-FICARN-2017-v1.0
Producer(s)
National Bureau of Statistics (NBS), The World Bank
Metadata
Created on
Apr 11, 2018
Last modified
Apr 11, 2018
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1. NAME MAKE A COMPLETE LIST OF ALL INDIVIDUALS WHO NORMALLY LIVE AND EAT THEIR (members__4)
Data file: Food_sec_NC
Overview
Valid:
219
Invalid:
0
Type:
Discrete
Start:
483
End:
501
Width:
19
Range:
-
Format:
character
Questions and instructions
Literal question
1. NAME
MAKE A COMPLETE LIST OF ALL INDIVIDUALS WHO NORMALLY LIVE AND EAT THEIR
MAKE A COMPLETE LIST OF ALL INDIVIDUALS WHO NORMALLY LIVE AND EAT THEIR
Categories
| Value | Category | Cases | |
|---|---|---|---|
| ##N/A## | 28 |
12.8%
|
|
| ABDUL GANNU SALISU | 1 |
0.5%
|
|
| ABDULGAFAR M | 1 |
0.5%
|
|
| ABIBU A | 1 |
0.5%
|
|
| ABU SALUWU | 1 |
0.5%
|
|
| ABUBAKAR | 1 |
0.5%
|
|
| ADAH UMARU | 1 |
0.5%
|
|
| ADAMA AUDU | 1 |
0.5%
|
|
| ADAMU | 1 |
0.5%
|
|
| ADAMU YUSUF | 1 |
0.5%
|
|
| ADIJATU SULAIMAN | 1 |
0.5%
|
|
| AGADA ODO | 1 |
0.5%
|
|
| AGNES OTEGWU | 1 |
0.5%
|
|
| AHMED WASIU | 1 |
0.5%
|
|
| AHMED YAKUBU | 1 |
0.5%
|
|
| AISHA | 1 |
0.5%
|
|
| AISHATU | 1 |
0.5%
|
|
| AISHETU OGAH | 1 |
0.5%
|
|
| ALADI OJILE | 1 |
0.5%
|
|
| ALBERT AYUBA | 1 |
0.5%
|
|
| ALESHI | 1 |
0.5%
|
|
| ALHAMDU G | 1 |
0.5%
|
|
| ALHASSAN SANUSI | 1 |
0.5%
|
|
| ALIYU | 1 |
0.5%
|
|
| AMINA | 1 |
0.5%
|
|
| AMINETU ABDULLAHI | 1 |
0.5%
|
|
| ANASTASIA AJUGWU | 1 |
0.5%
|
|
| ANITA | 1 |
0.5%
|
|
| ANTHONIA OCHEKWU | 1 |
0.5%
|
|
| AONDOFA | 1 |
0.5%
|
|
| AONDOHEMBA | 1 |
0.5%
|
|
| APEDOO ZUNGWENEN | 1 |
0.5%
|
|
| BALIKISU USMAN | 1 |
0.5%
|
|
| BAMINA | 1 |
0.5%
|
|
| BANKE AYO | 1 |
0.5%
|
|
| BENJI ACHI | 1 |
0.5%
|
|
| BLESSING | 1 |
0.5%
|
|
| BUKOLA ORTWAR | 1 |
0.5%
|
|
| CELINA D | 1 |
0.5%
|
|
| CHARITY JOE | 1 |
0.5%
|
|
| CHRISTOPHER SAMUEL | 1 |
0.5%
|
|
| CHRISTY EN | 1 |
0.5%
|
|
| COMFORT AMEH | 1 |
0.5%
|
|
| DAVID B | 1 |
0.5%
|
|
| DEBORAH DAVOU | 1 |
0.5%
|
|
| DEBORAH UKURE | 1 |
0.5%
|
|
| DOGARA SUNDAY | 1 |
0.5%
|
|
| DOOFAN | 1 |
0.5%
|
|
| DOOM | 1 |
0.5%
|
|
| DOOSHIMA MIKE | 1 |
0.5%
|
|
| DORATHY | 1 |
0.5%
|
|
| DORKAT NKUM | 1 |
0.5%
|
|
| EDWIN ABAH | 1 |
0.5%
|
|
| EHI OJILI | 1 |
0.5%
|
|
| ELIZABETH ACHILE | 1 |
0.5%
|
|
| ELIZABETH SAMSON | 1 |
0.5%
|
|
| EMMANUELLA | 1 |
0.5%
|
|
| ESTHER PAM | 1 |
0.5%
|
|
| Emmanuel Amos | 1 |
0.5%
|
|
| FATI | 2 |
0.9%
|
|
| FATIMA | 3 |
1.4%
|
|
| FATIMA MOHAMMED | 1 |
0.5%
|
|
| FATIMA SALAMI | 1 |
0.5%
|
|
| FREDA CHOLLOM | 1 |
0.5%
|
|
| FRIDAY TSESAMBE | 1 |
0.5%
|
|
| GANIYAT YUSUF | 1 |
0.5%
|
|
| GLORIA YUSUFU | 1 |
0.5%
|
|
| GODWIN IRRIMIYA | 1 |
0.5%
|
|
| GOGOBA MOHAMMED | 1 |
0.5%
|
|
| HAFSAT ABDULLAHI | 1 |
0.5%
|
|
| HAPPY UGO | 1 |
0.5%
|
|
| HASSANA | 1 |
0.5%
|
|
| HAUWA A | 1 |
0.5%
|
|
| HAWAWU | 1 |
0.5%
|
|
| HAZIMA MUSA | 1 |
0.5%
|
|
| HERRO EMMA | 1 |
0.5%
|
|
| HIPBATU MUSA | 1 |
0.5%
|
|
| IBRAHIM | 1 |
0.5%
|
|
| IDRIS NDAGI | 1 |
0.5%
|
|
| IDRISU | 1 |
0.5%
|
|
| ISA | 1 |
0.5%
|
|
| ISMAT YAKUBU | 1 |
0.5%
|
|
| JABIR MOHD | 1 |
0.5%
|
|
| JANET BARRI | 1 |
0.5%
|
|
| JERRY BAWA | 1 |
0.5%
|
|
| JETRO ENOCK | 1 |
0.5%
|
|
| JOY AMOS | 1 |
0.5%
|
|
| JOY DUNG | 1 |
0.5%
|
|
| JOY ISAH | 1 |
0.5%
|
|
| KABIRU MAHMUD | 1 |
0.5%
|
|
| KADIJAT | 1 |
0.5%
|
|
| KANGYANG DUNG | 1 |
0.5%
|
|
| KARIMETU YAKUBU | 1 |
0.5%
|
|
| KHADIJA KABIRU | 1 |
0.5%
|
|
| KUBURAT ABUBAKAR | 1 |
0.5%
|
|
| MAGDALINE GOWON | 1 |
0.5%
|
|
| MAMU | 1 |
0.5%
|
|
| MANASEH | 1 |
0.5%
|
|
| MANSUR ABUBAKAR | 1 |
0.5%
|
|
| MARIA | 1 |
0.5%
|
|
| MARIAM ASIMI | 1 |
0.5%
|
|
| MARK BALA | 1 |
0.5%
|
|
| MATHEW WADA | 1 |
0.5%
|
|
| MATTHEW | 1 |
0.5%
|
|
| MBAYAN | 1 |
0.5%
|
|
| MODUKPE SAKA | 1 |
0.5%
|
|
| MOHAMMED | 1 |
0.5%
|
|
| MOHAMMED AMINU | 1 |
0.5%
|
|
| MOHAMMED MAJIN | 1 |
0.5%
|
|
| MOHAMMED R SHEHU | 1 |
0.5%
|
|
| MOHAMMED SABA | 1 |
0.5%
|
|
| MOHD | 1 |
0.5%
|
|
| MOSES ADEJO | 1 |
0.5%
|
|
| MUBARAK BELLO | 1 |
0.5%
|
|
| NAFISAT | 1 |
0.5%
|
|
| NAIMA SHUAIB | 1 |
0.5%
|
|
| NANFE NIMYEL | 1 |
0.5%
|
|
| NASIRU ADAMU | 1 |
0.5%
|
|
| NDACE | 1 |
0.5%
|
|
| NDAGI | 1 |
0.5%
|
|
| NENPUROT Y | 1 |
0.5%
|
|
| NERAT AYUBA | 1 |
0.5%
|
|
| NGUHEL | 1 |
0.5%
|
|
| NGUUMA | 2 |
0.9%
|
|
| NGUWASE | 1 |
0.5%
|
|
| NOAH | 1 |
0.5%
|
|
| OCHEINEHI SULE | 1 |
0.5%
|
|
| OCHI UJE | 1 |
0.5%
|
|
| OCHOLE OCHI | 1 |
0.5%
|
|
| OHEGAM ODE | 1 |
0.5%
|
|
| OJOTU AUDU | 1 |
0.5%
|
|
| OLA ODE | 1 |
0.5%
|
|
| OLADAYO B | 1 |
0.5%
|
|
| ONYECHE YUSIFU | 1 |
0.5%
|
|
| PATRICK JOSEPH | 1 |
0.5%
|
|
| PATRICK OMALE | 1 |
0.5%
|
|
| PEACE | 1 |
0.5%
|
|
| PETER AMEH | 1 |
0.5%
|
|
| PLANSHAK HABILA | 1 |
0.5%
|
|
| RAIANU YAKUBU | 1 |
0.5%
|
|
| RAMOTA IBRAHIM | 1 |
0.5%
|
|
| RAMOTU MOHAMMED | 1 |
0.5%
|
|
| RASHIDAT YAKUBU | 1 |
0.5%
|
|
| RITA | 1 |
0.5%
|
|
| ROTSHAK | 1 |
0.5%
|
|
| RUKAIYA YUSUF | 1 |
0.5%
|
|
| RUKAYAT JAMIU | 1 |
0.5%
|
|
| RUTH TSESAMBE | 1 |
0.5%
|
|
| SADIQ | 1 |
0.5%
|
|
| SALIMOT JIYA | 1 |
0.5%
|
|
| SANDRA NGURE | 1 |
0.5%
|
|
| SANI | 1 |
0.5%
|
|
| SARATU | 1 |
0.5%
|
|
| SAUDE AUDU | 1 |
0.5%
|
|
| SEKINAT ABDULSALAM | 1 |
0.5%
|
|
| SELPLAN MARKUS | 1 |
0.5%
|
|
| SERAH SIMON | 1 |
0.5%
|
|
| SERAJO | 1 |
0.5%
|
|
| SEWUESE | 1 |
0.5%
|
|
| SHAMSUDEEN A | 1 |
0.5%
|
|
| STELLA NWAORGU | 1 |
0.5%
|
|
| SULEIMAN HARUNA | 1 |
0.5%
|
|
| SUNDAY AKER | 1 |
0.5%
|
|
| TAIYE TUNDE | 1 |
0.5%
|
|
| TAJUDEEN MOHAMMED | 1 |
0.5%
|
|
| TERKUMBURS | 1 |
0.5%
|
|
| TERNGU | 1 |
0.5%
|
|
| TIMOTHY MUSA | 1 |
0.5%
|
|
| TIMPAI H | 1 |
0.5%
|
|
| UGBEDE OCHALA | 1 |
0.5%
|
|
| UKASHA | 1 |
0.5%
|
|
| UMMA Z | 1 |
0.5%
|
|
| UNEKU IYEH | 1 |
0.5%
|
|
| UNWANA ACHI | 1 |
0.5%
|
|
| VERONICA EDEM | 1 |
0.5%
|
|
| VICKY | 1 |
0.5%
|
|
| VICTOR ISHAYA | 1 |
0.5%
|
|
| VOU ADAMU | 1 |
0.5%
|
|
| YAHAYA | 1 |
0.5%
|
|
| YAHAYA JUMAI | 1 |
0.5%
|
|
| YAKUBU GANA | 1 |
0.5%
|
|
| YAYA CHRISTOPHER | 1 |
0.5%
|
|
| ZAHRADOJA ABDULLAHI | 1 |
0.5%
|
|
| ZAINAB AUDU | 1 |
0.5%
|
|
| ZAINAB AWAL | 1 |
0.5%
|
|
| ZAINAB ISSA | 1 |
0.5%
|
|
| ZAKARI YAWU | 1 |
0.5%
|
|
| ZARA'U | 1 |
0.5%
|
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.