Food Insecurity in Conflict Affected Regions in Nigeria 2017
Second Round
Nigeria, 2017
Get Microdata
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
Page views
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1. NAME MAKE A COMPLETE LIST OF ALL INDIVIDUALS WHO NORMALLY LIVE AND EAT THEIR (members__9)
Data file: Food_sec_NE
Overview
Valid:
147
Invalid:
0
Type:
Discrete
Start:
516
End:
533
Width:
18
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## | 68 |
46.3%
|
|
| ABDULAZEEZ | 1 |
0.7%
|
|
| ABDULRAHAM | 1 |
0.7%
|
|
| ABRAHAM | 1 |
0.7%
|
|
| ABUBAKAR | 1 |
0.7%
|
|
| ADAMU | 1 |
0.7%
|
|
| ADAMU GARBA | 1 |
0.7%
|
|
| ADAMU MOHD | 1 |
0.7%
|
|
| AISHA | 2 |
1.4%
|
|
| AISHAT | 1 |
0.7%
|
|
| AISHATU MAMUDA | 1 |
0.7%
|
|
| ALH ZAKARI | 1 |
0.7%
|
|
| ALI ALH USMAN | 1 |
0.7%
|
|
| ASMA'U KWATRI | 1 |
0.7%
|
|
| AUWALU | 3 |
2%
|
|
| AYUBA M YAWUBA | 1 |
0.7%
|
|
| BABY(ZAINABU) | 1 |
0.7%
|
|
| BABYLAST STEVEN | 1 |
0.7%
|
|
| BARAKA NASIRU | 1 |
0.7%
|
|
| CHAITEN MIJINYAWA | 1 |
0.7%
|
|
| Dogora Markus | 1 |
0.7%
|
|
| ELIZABETH MARKUS | 1 |
0.7%
|
|
| FARSIA | 1 |
0.7%
|
|
| FATIMA AMODU | 1 |
0.7%
|
|
| FATSUMA | 1 |
0.7%
|
|
| FOSSEH | 1 |
0.7%
|
|
| GAMBO ISHIAKU | 1 |
0.7%
|
|
| HADIZA | 1 |
0.7%
|
|
| HAFISAT | 1 |
0.7%
|
|
| HAJ HALIMA SHAIBU | 1 |
0.7%
|
|
| HALIRU | 1 |
0.7%
|
|
| HANATU | 1 |
0.7%
|
|
| HAPSA | 1 |
0.7%
|
|
| HAPSAT ADAMU | 1 |
0.7%
|
|
| HASSAN | 2 |
1.4%
|
|
| HEI CHIROMA | 1 |
0.7%
|
|
| Hassan | 1 |
0.7%
|
|
| IDRIS | 1 |
0.7%
|
|
| JAAFAR IBRAHIM | 1 |
0.7%
|
|
| JAMILA | 1 |
0.7%
|
|
| KABIRU | 1 |
0.7%
|
|
| KAWULE | 1 |
0.7%
|
|
| LADI | 1 |
0.7%
|
|
| LAILATU MANU | 1 |
0.7%
|
|
| LUKA YUNANA | 1 |
0.7%
|
|
| MA'AKU | 1 |
0.7%
|
|
| MANU | 1 |
0.7%
|
|
| MARY | 1 |
0.7%
|
|
| MARYAM MOH'D | 1 |
0.7%
|
|
| MARYAMU UMAR | 1 |
0.7%
|
|
| MBASIYAMBA | 1 |
0.7%
|
|
| MOH'D IBRAHIM | 1 |
0.7%
|
|
| MOHAMMAD ABBATI | 1 |
0.7%
|
|
| MOHAMMED ABDULLAHI | 1 |
0.7%
|
|
| MOHAMMED S | 1 |
0.7%
|
|
| MOSES JUSTINE | 1 |
0.7%
|
|
| MUSA | 1 |
0.7%
|
|
| Maureen Usman | 1 |
0.7%
|
|
| NAFIU | 1 |
0.7%
|
|
| PRECIOUS SALIHU | 1 |
0.7%
|
|
| RAKIBA M | 1 |
0.7%
|
|
| ROVIS JOHN | 1 |
0.7%
|
|
| RUBDRIMAM | 1 |
0.7%
|
|
| SAFIYA .D. | 1 |
0.7%
|
|
| SALE | 1 |
0.7%
|
|
| SHAFAATU JINGI | 1 |
0.7%
|
|
| SULIAMAN INUSA | 1 |
0.7%
|
|
| UMAR ISA | 1 |
0.7%
|
|
| USMAILA | 1 |
0.7%
|
|
| YAGANA | 1 |
0.7%
|
|
| YAHAYA | 2 |
1.4%
|
|
| YETHA MUSTAPHA | 1 |
0.7%
|
|
| YUSUF | 1 |
0.7%
|
|
| ZACHARIA DAUDA | 1 |
0.7%
|
|
| ZARA | 1 |
0.7%
|
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.