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    Home / Central Data Catalog / LSMS / LBR_2018_NHFS_V01_M / variable [F9]
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
96303
Downloads
2009
  • Study 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

In the past 12 months, how many months did the programme related to [PRACTICE] c (S8_1_4)

Data file: comm_sect8a_public.dta

Overview

Valid: 89
Invalid: 1496
Minimum: 0
Maximum: 12
Type: Discrete
Decimal: 0
Start: 135
End: 136
Width: 2
Range: 0 - 12
Format: Numeric

Questions and instructions

Literal question
4. In the past 12 months, how many months did the programme related to [PRACTICE] continue?
Categories
Value Category Cases
0 1
1.1%
1 5
5.6%
2 4
4.5%
3 5
5.6%
4 1
1.1%
5 3
3.4%
6 10
11.2%
7 1
1.1%
10 1
1.1%
11 2
2.2%
12 56
62.9%
Sysmiss 1496
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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