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    Home / Central Data Catalog / LSMS / NGA_2018_LSS_V01_M / variable [F78]
lsms

Living Standards Survey 2018-2019

Nigeria, 2018 - 2019
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Reference ID
NGA_2018_LSS_v01_M
DOI
https://doi.org/10.48529/8gbe-z155
Producer(s)
National Bureau of Statistics (NBS)
Collection(s)
Living Standards Measurement Study (LSMS) Fragility, Conflict and Violence
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jan 12, 2021
Last modified
Jan 12, 2021
Page views
384577
Downloads
67126
  • Study Description
  • Data Description
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  • 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

MAIN CONSTRUCTION MATERIAL OF THE OUTER WALLS OF THE DWELLING (s14q09)

Data file: sect14_housing

Overview

Valid: 22121
Invalid: 0
Type: Discrete
Decimal: 0
Start: 273
End: 273
Width: 1
Range: 1 - 9
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 1. MUD 8566
38.7%
2 2. STONE 82
0.4%
3 3. UNBURNT BRICKS 1093
4.9%
4 4. BURNT BRICKS 158
0.7%
5 5. CEMENT OR CONCRETE 11541
52.2%
6 6. WOOD OR BAMBOO 529
2.4%
7 7. IRON SHEETS 83
0.4%
8 8. CARDBOARD 5
0%
9 9. OTHER (SPECIFY) 64
0.3%
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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