National Household Forest Survey 2018-2019
Liberia, 2018 - 2019
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Reference ID
LBR_2018_NHFS_v01_M
Producer(s)
Liberia Institute of Statistics and Geo-Information Services
Collection(s)
Metadata
Created on
Oct 01, 2020
Last modified
Jul 12, 2021
Page views
88751
Downloads
1972
- 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 name (county_code)
Data file: comm_sect6a_public.dta
Overview
Valid:
596
Invalid:
-
Minimum:
3
Maximum:
45
Type:
Discrete
Decimal:
0
Start:
3
End:
4
Width:
2
Range:
3 - 45
Format:
Numeric
Questions and instructions
Literal question
County ID
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 3 | Bomi | 38 |
6.4%
|
| 6 | Bong | 53 |
8.9%
|
| 9 | Grand Bassa | 87 |
14.6%
|
| 12 | Grand Cape Mount | 48 |
8.1%
|
| 15 | Grand Gedeh | 19 |
3.2%
|
| 18 | Grand Kru | 24 |
4%
|
| 21 | Lofa | 60 |
10.1%
|
| 24 | Margibi | 24 |
4%
|
| 27 | Maryland | 17 |
2.9%
|
| 30 | Montserrado | 7 |
1.2%
|
| 33 | Nimba | 49 |
8.2%
|
| 36 | River Cess | 55 |
9.2%
|
| 39 | Sinoe | 25 |
4.2%
|
| 42 | River Gee | 16 |
2.7%
|
| 45 | Gbarpolu | 74 |
12.4%
|
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.