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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NGA_2018_LSS_V01_EN_M_V01_A_OCS / variable [F93]
agricultural-surveys

Living Standards Survey, 2018-2019

Nigeria, 2018 - 2019
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Reference ID
NGA_2018_LSS_v01_EN_M_v01_A_OCS
Producer(s)
National Bureau of Statistics (NBS)
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Feb 01, 2021
Last modified
Nov 08, 2022
Page views
58559
Downloads
857
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • secta_cover
  • sect_aux
  • sect1_roster
  • sect2_education
  • sect3_health
  • sect4a1_labour
  • sect4a2_labour
  • sect5_remittances
  • sect6a_meals_outside
  • sect6b_food_cons
  • sect6c_aggregate_food_1
  • sect6c_aggregate_food_2
  • sect6c_aggregate_food_3
  • sect07_7day
  • sect07_12month
  • sect07_30day
  • sect8_food_security
  • sect9a_enterprise
  • sect9b_enterprise
  • sect9c_enterprise
  • sect9d_enterprise
  • sect10_assets
  • sect11a_credit
  • sect11b_credit
  • sect11c_credit
  • sect12a_beta
  • sect12a_safety
  • sect12b_safety
  • sect13_income
  • sect14_housing
  • sect16_shocks
  • sect17_crime_security
  • sect18_agriculture
  • sect19a_land
  • sect19b_land
  • totcons
  • sectc_cover
  • sectc1_resp
  • sectc2_infra
  • sectc3_org
  • sectc4a_land
  • sectc4a_prices
  • sectc4b_credit
  • sectc5_changes
  • sectc6_conflict
  • sectc8_foodprices
  • sect_result

Who was the perpetrator of [Event] in 2018 (Other)? (c06aq05_os)

Data file: sectc6_conflict

Overview

Valid: 90
Invalid: 0
Type: Discrete
Start: 145
End: 193
Width: 49
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Agric farm flour mill 1
1.1%
Agric farm flour mill ltd 1
1.1%
Agric palm Flourmill ltd 1
1.1%
Agric palm flour mill ltd 1
1.1%
An insane man 3
3.3%
Cult members 2
2.2%
Cultist 2
2.2%
Don't know 1
1.1%
During Rainfall 1
1.1%
Employer of the community member 1
1.1%
Erosion 1
1.1%
FIRE 1
1.1%
Fire Burnt the house 1
1.1%
Fire disaster due to bad kerosine. 1
1.1%
Flood 20
22.2%
Flooding 2
2.2%
Havy Rainfall 1
1.1%
Inability to put off candle/local source of light 1
1.1%
Kidnappers 1
1.1%
Local Government official 1
1.1%
NEPA ELECTRIC 1
1.1%
Natural Flooding 1
1.1%
Natural disaster 1
1.1%
Natural disaster flooding 1
1.1%
No body no the perpetrator 3
3.3%
PRIVATE DEVELOPERS 1
1.1%
RAINING SEASON 2
2.2%
State government 1
1.1%
Thunder 1
1.1%
Village Head 1
1.1%
WIND. AND RAINING SEASON 1
1.1%
Wind storm 1
1.1%
Windstorm 1
1.1%
accident 1
1.1%
conflict among cult groups 1
1.1%
cult groups 2
2.2%
cultist 1
1.1%
cultist member 1
1.1%
cultists 9
10%
dont know 1
1.1%
drown in water 1
1.1%
electrical fault 1
1.1%
fellow community member 1
1.1%
fire inferno and windstorm. 1
1.1%
flood 3
3.3%
flooding 1
1.1%
high voltage 1
1.1%
it was electricity spark that causes inflamtion 1
1.1%
member of the community 1
1.1%
natural flooding 1
1.1%
rival cult clash 1
1.1%
using of candle 1
1.1%
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.
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