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    Home / Food and Agriculture Microdata Catalogue / FOOD-SECURITY / NGA_2018_RIMA_V01_EN_M_V01_A_OCS / variable [F5]
Food-Security

Resilience Index Measurement and Analysis 2018

Nigeria, 2018
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Reference ID
NGA_2018_RIMA_v01_EN_M_v01_A_OCS
Producer(s)
Food and Agriculture Organization
Collections
Food Security
Metadata
Documentation in PDF DDI/XML JSON
Created on
Aug 17, 2021
Last modified
Aug 18, 2021
Page views
63457
Downloads
345
  • Study Description
  • Data Dictionary
  • Downloads
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  • Data files
  • anon_module_a
  • anon_module_b
  • anon_module_c
  • anon_module_d
  • anon_module_e
  • anon_module_f
  • anon_module_g
  • anon_module_h
  • anon_module_i
  • anon_module_j2
  • anon_module_k1
  • anon_module_k2
  • anon_module_l
  • anon_module_m1
  • anon_module_m2
  • anon_module_n
  • anon_module_o
  • anon_module_p
  • anon_module_r
  • anon_module_x
  • anon_module_y
  • anon_module_z

Which types of [1] did you purchase in the last 12 months (E1_clothfootwear)

Data file: anon_module_e

Overview

Valid: 2022
Type: Discrete
Width: 115
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Clothing (clothes/fabric/tailoring/repair) 143
7.1%
Clothing (clothes/fabric/tailoring/repair) Footwear (socks, shoes, sandals)/footwear repair 682
33.7%
Clothing (clothes/fabric/tailoring/repair) Footwear (socks, shoes, sandals)/footwear repair Jewellery 822
40.7%
Clothing (clothes/fabric/tailoring/repair) Jewellery 10
0.5%
Footwear (socks, shoes, sandals)/footwear repair 36
1.8%
Footwear (socks, shoes, sandals)/footwear repair Jewellery 3
0.1%
Jewellery 6
0.3%
Not purchased 314
15.5%
Not purchased Clothing (clothes/fabric/tailoring/repair) 1
0%
Not purchased Clothing (clothes/fabric/tailoring/repair) Footwear (socks, shoes, sandals)/footwear repair 2
0.1%
Not purchased Clothing (clothes/fabric/tailoring/repair) Footwear (socks, shoes, sandals)/footwear repair Jewellery 1
0%
Not purchased Footwear (socks, shoes, sandals)/footwear repair 2
0.1%
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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