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 | 941352 |
Downloads | 63993 |
1. NAME
MAKE A COMPLETE LIST OF ALL INDIVIDUALS WHO NORMALLY LIVE AND EAT THEIR
(members__4)
File: Food_sec_NE
File: Food_sec_NE
Overview
Type:
Discrete Format: character Width: 19 | Valid cases: 147 Invalid: 0 |
Categories
Value | Category | Cases | |
---|---|---|---|
##N/A## | 11 | 7.5% | |
ABBA | 1 | 0.7% | |
ABDULRAHAN IBRAHIM | 1 | 0.7% | |
ABEL | 1 | 0.7% | |
ABUBAKAR | 1 | 0.7% | |
ABUBAKAR MOH'D | 1 | 0.7% | |
ABUBAKAR SULEIMAN | 1 | 0.7% | |
ADAMU BASHIRU | 1 | 0.7% | |
ADAMU IDI | 1 | 0.7% | |
ADOWA | 1 | 0.7% | |
AFODIYA | 1 | 0.7% | |
AGNES | 1 | 0.7% | |
AHMADU BUBA | 1 | 0.7% | |
AHMADU ENGINER | 1 | 0.7% | |
AHMED | 1 | 0.7% | |
AISHA | 2 | 1.4% | |
AISHATU | 2 | 1.4% | |
AISHATU MANU | 1 | 0.7% | |
ALICE NYAJON | 1 | 0.7% | |
ALTINE | 1 | 0.7% | |
AMAHIL | 1 | 0.7% | |
AMINA | 2 | 1.4% | |
ANGELINA LUKA | 1 | 0.7% | |
ANTI TASALLA | 1 | 0.7% | |
ASMAU | 1 | 0.7% | |
AWALU | 1 | 0.7% | |
AYIMI | 1 | 0.7% | |
BALA | 1 | 0.7% | |
BALA ZANGOMA | 1 | 0.7% | |
BALKISU | 1 | 0.7% | |
BELLO ADAMU | 1 | 0.7% | |
BUBA DILLI | 1 | 0.7% | |
BUHARI | 1 | 0.7% | |
CHAMO | 1 | 0.7% | |
CHARITY | 1 | 0.7% | |
DAVID TERI | 1 | 0.7% | |
EMONO | 1 | 0.7% | |
ESREN MIJINYAWA | 1 | 0.7% | |
FAIZA IBRAHIM | 1 | 0.7% | |
FATIMA | 3 | 2.0% | |
FATIMA AMADU | 1 | 0.7% | |
FATIMA ISA | 1 | 0.7% | |
FATIMA ZARA D. | 1 | 0.7% | |
HABUBAKAR ALH USMAN | 1 | 0.7% | |
HADIZA | 1 | 0.7% | |
HAGGAI | 1 | 0.7% | |
HAJJA INNA | 1 | 0.7% | |
HALIMA | 2 | 1.4% | |
HALIMA AHMAD | 1 | 0.7% | |
HALIMA MAMUDA | 1 | 0.7% | |
HAMIDU CHIROMA | 1 | 0.7% | |
HANNATU JOSEPH | 1 | 0.7% | |
HARUNA AHMADU | 1 | 0.7% | |
HAUWA AHMADU | 1 | 0.7% | |
HAUWA MOHD | 1 | 0.7% | |
HAUWAU | 1 | 0.7% | |
IRANUKWE DANLADI | 1 | 0.7% | |
ISA SULE | 1 | 0.7% | |
ISIAKA | 1 | 0.7% | |
ISIYA MOHD | 1 | 0.7% | |
JAFAR | 1 | 0.7% | |
JAMILA | 1 | 0.7% | |
JONAH JAMES | 1 | 0.7% | |
KAIDE | 1 | 0.7% | |
KHADIJA GARBA | 1 | 0.7% | |
KONG | 1 | 0.7% | |
KUCHALI | 1 | 0.7% | |
KWABAI P | 1 | 0.7% | |
LADI JOHN | 1 | 0.7% | |
LAUKATU INUSA | 1 | 0.7% | |
LUCY | 1 | 0.7% | |
MAGDALINE | 1 | 0.7% | |
MAIMUNA | 2 | 1.4% | |
MALAMO | 1 | 0.7% | |
MANSUR | 1 | 0.7% | |
MARIAM | 1 | 0.7% | |
MARIYAM | 1 | 0.7% | |
MARTHA YUNANA | 1 | 0.7% | |
MBASIRE | 2 | 1.4% | |
MOHAMMED AHMED | 1 | 0.7% | |
MOHAMMED RABIU | 1 | 0.7% | |
MUDDAFA | 1 | 0.7% | |
MUSA | 1 | 0.7% | |
NABYERI ABOKI | 1 | 0.7% | |
NAIMA SURAJO | 1 | 0.7% | |
NANA UMAR | 1 | 0.7% | |
NAOMI | 1 | 0.7% | |
NASIRU SHAIBU | 1 | 0.7% | |
NATHAN STEVEN | 1 | 0.7% | |
OMEGAH LEVI | 1 | 0.7% | |
PETER | 1 | 0.7% | |
PROSPER | 1 | 0.7% | |
RABI | 1 | 0.7% | |
RABIU MOH'D | 1 | 0.7% | |
RAHAB JUSTINE | 1 | 0.7% | |
RAHAB MARKUS | 1 | 0.7% | |
RAHANATU | 1 | 0.7% | |
RAKIYA SHEHU | 1 | 0.7% | |
REMEMBER Y | 1 | 0.7% | |
RIMAMJOMTE | 1 | 0.7% | |
RUKAYA | 1 | 0.7% | |
RUTH KWATRI | 1 | 0.7% | |
SABASTINE PETER | 1 | 0.7% | |
SADIQA | 1 | 0.7% | |
SALAMATU | 1 | 0.7% | |
SALISU | 1 | 0.7% | |
SAMAILA | 1 | 0.7% | |
SANA | 1 | 0.7% | |
SERAH | 1 | 0.7% | |
SIMON CYPRIAN | 1 | 0.7% | |
SONG PWASATO | 1 | 0.7% | |
STANLEY SALIHU | 1 | 0.7% | |
SULEIMAN M | 1 | 0.7% | |
SULEMAN BALA | 1 | 0.7% | |
UMAR IBRAHIM | 1 | 0.7% | |
UMARU AHMADU | 1 | 0.7% | |
UMARU NASIRU | 1 | 0.7% | |
UNEIZA | 1 | 0.7% | |
USMAN SULE | 1 | 0.7% | |
WAZIRI | 1 | 0.7% | |
WUDINI JINGI | 1 | 0.7% | |
YA KURA M | 1 | 0.7% | |
YADURTY | 1 | 0.7% | |
YAHAYA | 1 | 0.7% | |
YAHUZA | 1 | 0.7% | |
YAMUNA | 1 | 0.7% | |
YUSUF IDI | 1 | 0.7% | |
ZAHRA | 1 | 0.7% | |
ZALPHA | 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