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    Home / Central Data Catalog / LSMS / LBR_2018_NHFS_V01_M / variable [F30]
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
87592
Downloads
1947
  • 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

household wealth related (incl. assets) (S13_9_2)

Data file: sect13_public.dta

Overview

Valid: 204
Invalid: -
Minimum: 1
Maximum: 2
Type: Discrete
Decimal: 0
Start: 197
End: 197
Width: 1
Range: 1 - 2
Format: Numeric

Questions and instructions

Literal question
9. What other in-kind benefits have you or will you receive for your participation in the [PROGRAMME]?
- household wealth related (incl. assets)
Categories
Value Category Cases
1 yes 1
0.5%
2 no 203
99.5%
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
READ OUT ALL THE CODES AND LIST ALL THAT APPLY. MULTIPLE RESPONSES ARE POSSIBLE
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