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    Home / Central Data Catalog / LSMS / LBR_2018_NHFS_V01_M / variable [F32]
lsms

National Household Forest Survey 2018-2019

Liberia, 2018 - 2019
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Reference ID
LBR_2018_NHFS_v01_M
DOI
https://doi.org/10.48529/rdhm-h904
Producer(s)
Liberia Institute of Statistics and Geo-Information Services
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 01, 2020
Last modified
Jul 12, 2021
Page views
92927
Downloads
1991
  • Study Description
  • Data Description
  • Documentation
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  • Data files
  • comm_sect1_public.dta
  • comm_sect2_public.dta
  • comm_sect3_public.dta
  • comm_sect4_public.dta
  • comm_sect5_public.dta
  • comm_sect6a_public.dta
  • comm_sect6b_public.dta
  • comm_sect7_public.dta
  • comm_sect8a_public.dta
  • comm_sect8b_public.dta
  • comm_sect9a_public.dta
  • comm_sect9b_public.dta
  • sect1_public.dta
  • sect2_public.dta
  • sect3_public.dta
  • sect4_public.dta
  • sect5_public.dta
  • sect6_public.dta
  • sect7_filter_public.dta
  • sect7_public.dta
  • sect8_filter_public.dta
  • sect8_public.dta
  • sect9_public.dta
  • sect10_filter_public.dta
  • sect10_public.dta
  • sect11_public.dta
  • sect12_filter_public.dta
  • sect12_public.dta
  • sect13_filter_public.dta
  • sect13_public.dta
  • sect14_public.dta
  • sect15_public.dta
  • sect16a_public.dta
  • sect16b_public.dta
  • sect17_public.dta
  • sect18_public.dta
  • sect19_public.dta
  • sect20_public.dta
  • sect21_public.dta
  • Liberia_NHFS_HH_DistanceToForest.dta
  • Liberia_NHFS_HH_Income.dta

item code (item_id)

Data file: sect15_public.dta

Overview

Valid: 102087
Invalid: -
Minimum: 1
Maximum: 35
Type: Discrete
Decimal: 0
Start: 52
End: 53
Width: 2
Range: 1 - 35
Format: Numeric

Questions and instructions

Literal question
Item code
Categories
Value Category Cases
1 radio, radio cassette, cd player, tape recorder 2977
2.9%
2 telephone (mobile) 2918
2.9%
3 refridgerator or freezer 2918
2.9%
4 sewing machine 2917
2.9%
5 video / dvd / television 2917
2.9%
6 chairs (local/imported) 2917
2.9%
7 sofas/armchair (local/imported) 2916
2.9%
8 tables (local/imported) 2916
2.9%
9 watches 2916
2.9%
10 beds (local/imported) 2916
2.9%
11 cupboards, chest-of-drawers, boxes, wardrobes,bookcases, dresser 2915
2.9%
12 small appliances (lanterns / pails / hammer) 2915
2.9%
13 kerosene lamp 2915
2.9%
14 personal computer / printer / scanner/ photocopier 2915
2.9%
15 cooking pots 2915
2.9%
16 cups, other kitchen utensils (knives, forks, spoons etc) 2915
2.9%
17 pressing iron (charcoal or electric) 2915
2.9%
18 electric/gas/kerosene/coal stove or cooker 2915
2.9%
19 water-heater 2915
2.9%
20 books 2915
2.9%
21 calculator 2915
2.9%
22 motor cars, vans 2915
2.9%
23 trucks, mini buses 2915
2.9%
24 motor cycle 2915
2.9%
25 bicycle 2915
2.9%
26 electric fan 2915
2.9%
27 airconditioner 2915
2.9%
28 satellite dish / antenna / dstv / satcom 2915
2.9%
29 generator 2914
2.9%
30 leather and skins 2913
2.9%
31 horse/donkey 2913
2.9%
32 chainsaw 2913
2.9%
33 shotgun/rifle 2912
2.9%
34 axe 2912
2.9%
35 mobile, small-scale sawmill 2912
2.9%
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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