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    Home / Central Data Catalog / NGA-NBS-NLSS-2018-V01 / variable [V2218]
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Nigeria Living Standards Survey 2018-2019

Nigeria, 2018 - 2019
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Reference ID
NGA-NBS-NLSS-2018-v01
Producer(s)
National Bureau of Statistics (NBS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
May 27, 2021
Last modified
May 28, 2021
Page views
1123755
Downloads
113821
  • Study Description
  • Data Dictionary
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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

FOOD GROUP CODE (item_cd)

Data file: sect6c_aggregate_food_1

Overview

Valid: 243386
Invalid: 0
Type: Discrete
Decimal: 0
Start: 20
End: 21
Width: 2
Range: 1 - 11
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Grains and Flours 22126
9.1%
2 Starchy Roots, Tubers, and Plantains 22126
9.1%
3 Pulses, Nuts and Seeds 22126
9.1%
4 Vegetables 22126
9.1%
5 Meat, Fish and Animal Products 22126
9.1%
6 Meat, Fish and Animal Products used as spices 22126
9.1%
7 Fruits 22126
9.1%
8 Milk/Milk Products 22126
9.1%
9 Oil and Fats 22126
9.1%
10 Sugar/Sugar Products/Honey 22126
9.1%
11 Spices/Condiments 22126
9.1%
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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