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    Home / Central Data Catalog / LSMS / LBR_2018_NHFS_V01_M / variable [F38]
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
92515
Downloads
1986
  • Study Description
  • Data Description
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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

other, specify (S20_8SP)

Data file: sect20_public.dta

Overview

Valid: 2985
Invalid: -
Type: Discrete
Start: 248
End: 261
Width: 14
Range: -
Format: character

Questions and instructions

Literal question
8. How much (total) forest area was cleared over the past 12 months?
- Unit: Other (specify)
Categories
Value Category Cases
2969
99.5%
AQUATERS 1
0%
TAR 1
0%
TAR AND A HALF 1
0%
TARS 1
0%
TIN 11
0.4%
ZERO 1
0%
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.
Interviewer instructions
IF LOCAL UNITS FOR AREA ARE USED, ENSURE THAT THEY ARE RECORDED AND CONVERTED TO METRIC EQUIVALENTS IN MODULE C UNITS AND PRICING OF COM_MODULE
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