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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
88284
Downloads
1963
  • 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

county code (county_code)

Data file: sect15_public.dta

Overview

Valid: 102087
Invalid: -
Minimum: 3
Maximum: 45
Type: Discrete
Decimal: 0
Start: 3
End: 4
Width: 2
Range: 3 - 45
Format: Numeric

Questions and instructions

Categories
Value Category Cases
3 bomi 5200
5.1%
6 bong 9944
9.7%
9 grand bassa 12881
12.6%
12 grand cape mount 7140
7%
15 grand gedeh 7553
7.4%
18 grand kru 3676
3.6%
21 lofa 9206
9%
24 margibi 4031
3.9%
27 maryland 3780
3.7%
30 montserrado 1226
1.2%
33 nimba 8705
8.5%
36 river cess 9527
9.3%
39 sinoe 5006
4.9%
42 river gee 3780
3.7%
45 gbarpolu 10432
10.2%
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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