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 | 934893 |
Downloads | 63959 |
1. NAME
MAKE A COMPLETE LIST OF ALL INDIVIDUALS WHO NORMALLY LIVE AND EAT THEIR
(members__5)
File: Food_sec_SS
File: Food_sec_SS
Overview
Type:
Discrete Format: character Width: 20 | Valid cases: 216 Invalid: 0 |
Categories
Value | Category | Cases | |
---|---|---|---|
##N/A## | 65 | 30.1% | |
ABASIONO | 1 | 0.5% | |
ABIYE | 1 | 0.5% | |
ABRAHAM EBHOTA | 1 | 0.5% | |
AGHADINUNOR EBELE | 1 | 0.5% | |
AGNES | 1 | 0.5% | |
ANTHONY | 1 | 0.5% | |
ASUQUO NYONG | 1 | 0.5% | |
AUGUSTINA OGBEBOR | 1 | 0.5% | |
AUSTINE | 1 | 0.5% | |
BEATRICE | 1 | 0.5% | |
BINME | 1 | 0.5% | |
CHIBUNNA | 1 | 0.5% | |
CHID OKAFOR | 1 | 0.5% | |
CHIEMELE BEN | 1 | 0.5% | |
CHIKA | 1 | 0.5% | |
CHINECHIREM | 1 | 0.5% | |
CHINEYE ONWUACHU | 1 | 0.5% | |
CHINYERE | 2 | 0.9% | |
CLEMENT | 1 | 0.5% | |
CLEMENTINA | 1 | 0.5% | |
COMFORT | 1 | 0.5% | |
DAVID | 1 | 0.5% | |
DEBORAH | 1 | 0.5% | |
DESTINY | 1 | 0.5% | |
DORCAS | 1 | 0.5% | |
ELFREDA LONG JOHN | 1 | 0.5% | |
ENENWAN | 1 | 0.5% | |
ENYINNA N | 1 | 0.5% | |
ESTHER | 1 | 0.5% | |
EVANGEL | 1 | 0.5% | |
EVELYN | 1 | 0.5% | |
FAITH JACK | 1 | 0.5% | |
FAVOUR | 2 | 0.9% | |
FAVOUR OKEI | 1 | 0.5% | |
GABRIEL | 1 | 0.5% | |
GIFT OWEDE | 1 | 0.5% | |
GLORIA | 1 | 0.5% | |
GLORY | 2 | 0.9% | |
GODDAY | 1 | 0.5% | |
GODSLOVE AKPAN | 1 | 0.5% | |
GODSTIME ODUWARE | 1 | 0.5% | |
GODTIME OSUNHON | 1 | 0.5% | |
GODWIN | 1 | 0.5% | |
GOMBA | 1 | 0.5% | |
GOODNESS | 1 | 0.5% | |
HAPPINESS | 1 | 0.5% | |
HAPPINESS OKORO | 1 | 0.5% | |
HOPE | 2 | 0.9% | |
IFIOK EDET UDO | 1 | 0.5% | |
IME | 2 | 0.9% | |
INIOBONG | 2 | 0.9% | |
IPEGHAN GOSPEL | 1 | 0.5% | |
IROGHENE | 1 | 0.5% | |
ISA ABDULLAHI | 1 | 0.5% | |
ISAAC | 1 | 0.5% | |
ISRAEL | 1 | 0.5% | |
IYAYE BENJAMIN | 1 | 0.5% | |
JENNIFER | 1 | 0.5% | |
JOHN G | 1 | 0.5% | |
JOY | 2 | 0.9% | |
JOYCE | 1 | 0.5% | |
KABEOK CHIBUIKE | 1 | 0.5% | |
KATE | 1 | 0.5% | |
KUFRE | 1 | 0.5% | |
LEBARI | 1 | 0.5% | |
LORINNA AMIKIN | 1 | 0.5% | |
LUCY | 1 | 0.5% | |
MAGDALENE | 1 | 0.5% | |
MARVELOUS ODUMORE | 1 | 0.5% | |
MARY | 1 | 0.5% | |
MARY GLORIA | 1 | 0.5% | |
MAUENE | 1 | 0.5% | |
MAUREEN OKOTIE | 1 | 0.5% | |
MERCY | 3 | 1.4% | |
MIEBAKA | 1 | 0.5% | |
MIRACLE | 4 | 1.9% | |
MIRACLE ILEONU | 1 | 0.5% | |
MOMUS | 1 | 0.5% | |
MONDAY EGBE | 1 | 0.5% | |
MOSES | 1 | 0.5% | |
Micheal | 1 | 0.5% | |
NDIFEREKE | 1 | 0.5% | |
NDIRICHUKWU | 1 | 0.5% | |
NENGI | 1 | 0.5% | |
NKOO GBORO | 1 | 0.5% | |
ODIH CHIDIMMA | 1 | 0.5% | |
ODUMEGWU CHIOMA | 1 | 0.5% | |
OGHENERUMEM | 1 | 0.5% | |
OGIERIAKHIN | 1 | 0.5% | |
OKOH CHIOMA | 1 | 0.5% | |
OKOLO EMEFI | 1 | 0.5% | |
OKORO EUCARIA | 1 | 0.5% | |
OLUWATOBI | 1 | 0.5% | |
OPAKIRITE | 1 | 0.5% | |
OSABUOHIEN | 1 | 0.5% | |
OSADION IGBINAKENZUW | 1 | 0.5% | |
OSAROGIE ALIKA | 1 | 0.5% | |
OSASERE AJAYI | 1 | 0.5% | |
OTOBONG | 1 | 0.5% | |
OWUZOH KELECHI | 1 | 0.5% | |
OZUEM VICTORY | 1 | 0.5% | |
PAMELA | 1 | 0.5% | |
PATRICK | 1 | 0.5% | |
PELUMI OJUMI | 1 | 0.5% | |
PHILIP | 1 | 0.5% | |
POPBIA | 1 | 0.5% | |
PRAISE GOD | 1 | 0.5% | |
PRECIOUS | 1 | 0.5% | |
PROMISE | 1 | 0.5% | |
PRUDENCE | 1 | 0.5% | |
RITA | 1 | 0.5% | |
RITA MAJEMITI | 1 | 0.5% | |
ROSE GEORGE | 1 | 0.5% | |
SAM | 1 | 0.5% | |
SHARON | 1 | 0.5% | |
SIMON O | 1 | 0.5% | |
SOKARI G | 1 | 0.5% | |
SORAE ESTHER | 1 | 0.5% | |
SUCCESS | 2 | 0.9% | |
SYLVA | 1 | 0.5% | |
THANKGOD | 1 | 0.5% | |
TITI | 1 | 0.5% | |
TOALA ISAAC | 1 | 0.5% | |
TONY AKPIRI | 1 | 0.5% | |
UNWANA | 2 | 0.9% | |
USENENWONO | 1 | 0.5% | |
USIAMATA KATE | 1 | 0.5% | |
USIOMO | 1 | 0.5% | |
UTIBE | 1 | 0.5% | |
VICTOR | 1 | 0.5% | |
VICTORIA | 2 | 0.9% | |
VICTORIES | 1 | 0.5% | |
VIOLET | 1 | 0.5% | |
VIVIAN IRABOR | 1 | 0.5% | |
WAXON | 1 | 0.5% | |
WORTHY | 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.
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