Nigeria - Food Insecurity in Conflict Affected Regions in Nigeria 2017, Second Round
Reference ID | NGA-NBS-FICARN-2017-v1.0 |
Year | 2017 |
Country | Nigeria |
Producer(s) |
National Bureau of Statistics (NBS) - Federal Government of Nigeria (FGN) The World Bank - Federal Government of Nigeria (FGN) |
Sponsor(s) | World Bank - WB - Funding |
Metadata | Documentation in PDF Download DDI Download RDF |
Created on | Apr 11, 2018 |
Last modified | Apr 11, 2018 |
Page views | 934803 |
Downloads | 63959 |
1. NAME
MAKE A COMPLETE LIST OF ALL INDIVIDUALS WHO NORMALLY LIVE AND EAT THEIR
(members__9)
File: Food_sec_NE
File: Food_sec_NE
Overview
Type:
Discrete Format: character Width: 18 | Valid cases: 147 Invalid: 0 |
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 | 2.0% | |
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.
Questions and instructions
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