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    Home / Central Data Catalog / LSMS / LBR_2018_NHFS_V01_M / variable [F14]
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
88112
Downloads
1959
  • 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

in what year was [name] born? (S2_4YYYY)

Data file: sect2_public.dta

Overview

Valid: 12263
Invalid: -
Minimum: 1918
Maximum: 9999
Type: Discrete
Decimal: 0
Start: 81
End: 84
Width: 4
Range: 1918 - 9999
Format: Numeric

Questions and instructions

Literal question
In what month and year was [NAME] born?
- Year
Categories
Value Category Cases
1918 1
0%
1923 1
0%
1926 2
0%
1927 1
0%
1928 2
0%
1929 1
0%
1931 2
0%
1932 2
0%
1933 3
0%
1934 3
0%
1935 3
0%
1936 5
0%
1937 1
0%
1938 3
0%
1939 5
0%
1940 11
0.1%
1941 1
0%
1942 7
0.1%
1943 18
0.1%
1944 14
0.1%
1945 15
0.1%
1946 9
0.1%
1947 16
0.1%
1948 28
0.2%
1949 23
0.2%
1950 37
0.3%
1951 22
0.2%
1952 43
0.4%
1953 29
0.2%
1954 31
0.3%
1955 32
0.3%
1956 50
0.4%
1957 34
0.3%
1958 90
0.7%
1959 37
0.3%
1960 96
0.8%
1961 40
0.3%
1962 56
0.5%
1963 46
0.4%
1964 68
0.6%
1965 66
0.5%
1966 74
0.6%
1967 50
0.4%
1968 174
1.4%
1969 67
0.5%
1970 129
1.1%
1971 115
0.9%
1972 120
1%
1973 147
1.2%
1974 120
1%
1975 138
1.1%
1976 124
1%
1977 94
0.8%
1978 227
1.9%
1979 179
1.5%
1980 239
1.9%
1981 110
0.9%
1982 147
1.2%
1983 194
1.6%
1984 161
1.3%
1985 190
1.5%
1986 167
1.4%
1987 146
1.2%
1988 195
1.6%
1989 156
1.3%
1990 298
2.4%
1991 104
0.8%
1992 163
1.3%
1993 174
1.4%
1994 164
1.3%
1995 162
1.3%
1996 227
1.9%
1997 150
1.2%
1998 247
2%
1999 186
1.5%
2000 325
2.7%
2001 186
1.5%
2002 213
1.7%
2003 262
2.1%
2004 230
1.9%
2005 286
2.3%
2006 273
2.2%
2007 260
2.1%
2008 329
2.7%
2009 294
2.4%
2010 320
2.6%
2011 314
2.6%
2012 328
2.7%
2013 315
2.6%
2014 344
2.8%
2015 360
2.9%
2016 330
2.7%
2017 260
2.1%
2018 131
1.1%
9999 don't know 611
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
"99" IF DON'T KNOW
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