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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NGA_2018_LSS_V01_EN_M_V01_A_OCS / variable [F72]
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
61877
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  • 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

OTHER SPECIFY: Please specify the other reason for applying for the loan. (s11q04_os)

Data file: sect11b_credit

Overview

Valid: 83
Invalid: 0
Type: Discrete
Start: 74
End: 154
Width: 81
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
BOTH HOUSEHOLD CONSUMPTION AND TO RAISE EXTRA CAPITAL FOR BUSINESS 1
1.2%
BOUGHT MOTOR SPARE PARTS 1
1.2%
BUSINESS TRANSACTIONS 1
1.2%
BUY FOOD STUFF 1
1.2%
EDUCATION, HOUSE RENT, PURCHASE OF AGRRICULTURAL LAND 1
1.2%
FAMILY PROBLEMS 1
1.2%
FOR AGRICULTURAL PURPOSES LIKE CULTIVATING THE FARM LAND 1
1.2%
FOR BUILDING 1
1.2%
FOR HOUSD RENT 1
1.2%
FOR PARSONAL USE 7
8.4%
FOR PERSONAL USE 3
3.6%
HOUSE RENOVATION 1
1.2%
HOUSE RENT 3
3.6%
HOUSE RENT AND SCHOOL FEES 1
1.2%
HOUSE RENT EXPENSES 1
1.2%
HOUSE RENT FOR SENIOR SISTER 1
1.2%
IMPROVE IN ALREADY ESTABLISHMENT 1
1.2%
MACHINE MAINTAINANCE 1
1.2%
MACHINE MAITAINANCE 1
1.2%
MOTORBIKE 1
1.2%
OKADA MACHINE 1
1.2%
OKADA REPAIRS 1
1.2%
PAID FARM LABOURERS 1
1.2%
PAY RENT 1
1.2%
PAYMENT OF RENT 2
2.4%
PAYMENT OF WORKERS ON THE FARM 1
1.2%
PERSONAL EXPENSES 1
1.2%
PURCHASE FISH INPUTS 1
1.2%
PURCHASE FOODSTUFFS 1
1.2%
PURCHASE MOTOR SPARE PARTS 1
1.2%
PURCHASE OF BOAT AND NET FOR FISHING 1
1.2%
PURCHASE OF FISHING EQUIPMENT 1
1.2%
PURCHASE OF FLY BOAT 1
1.2%
PURCHASE OF FOOD STUFF 1
1.2%
PURCHASE OF MOTOR BIKE 1
1.2%
PURCHASE OF MOTORBIKE 1
1.2%
PURCHASE OF OUTBOARD ENGINE FOR BOAT 1
1.2%
PURCHESE TELEVISION 1
1.2%
RENT PAYMENT 1
1.2%
RENTAGE OF HOUSE 1
1.2%
REPAIR MOTORBIKE 1
1.2%
REPAIR OF MOTOR VEHICLE 1
1.2%
REPAIR OF MOTORBIKE 1
1.2%
REPAIR OF MOTORCYCLE 1
1.2%
REPAYMENT OF OTHER LOAN 1
1.2%
RESPONDENT COLLECTED THE LOAN TO PAY OFF DEBT 1
1.2%
SHE NEEDED THE MONEY TO UNDERTAKE A JOURNEY 1
1.2%
SPARE PART FOR HIS CAR 1
1.2%
TO ADD AND PAY RENT 1
1.2%
TO BUY A MOTOCYCLE 1
1.2%
TO BUY CLOTH 1
1.2%
TO BUY JOB 1
1.2%
TO EXPAND MY BUSINESS OF SELLING GRAINS 1
1.2%
TO HANDSET 1
1.2%
TO PAY BACK ANOTHER LOAN FROM LAST YEAR 1
1.2%
TO PAY CHILDREN APPRENTISHIP 1
1.2%
TO PAY RANSOM FOR HIS SON TO BE RELEASED FROM KIDNAPPERS 1
1.2%
TO PURCHASE FISHING TRAP 1
1.2%
TO PURCHASE FOOD STUPP 1
1.2%
TO PURSHASE A GENERATOR 1
1.2%
TO PURSHASE SAW MACHINE FOR HUSBAND 1
1.2%
TO RENT ANOTHER HOUSE SINCE SHE IS PACKING OUT OF THIS PRESENT ABODE IN JULY 2019 1
1.2%
TO REPAIR HIS MOTORCYCLE 1
1.2%
TO REPAIR OF NAPEP 1
1.2%
TO REPAY ANOTHER LOANS AND CHILD OTHER BUSINESS 1
1.2%
TO SECURE EMPLOYMENT FOR HIS SON IN A FEDERAL GOVERNMENT AGENCY 1
1.2%
TRANSPORTATION 3
3.6%
TRAVELING EXPENSES 1
1.2%
TREATMENT OF ANIMALS 1
1.2%
USING FOR CHURCH PROGRAM 1
1.2%
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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