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
97794
Downloads
2050
- 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
Product name (S6_1AN)
Data file: comm_sect6a_public.dta
Overview
Valid:
596
Invalid:
-
Type:
Discrete
Start:
24
End:
65
Width:
42
Range:
-
Format:
character
Questions and instructions
Literal question
1. What are the three most important cash/income-generating forest products (MIPs), if any, for the livelihood of the people in this community? And what are the three most important forest products in terms of subsistence?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 5 |
0.8%
|
||
| African walnut | 4 |
0.7%
|
|
| Bamboo | 3 |
0.5%
|
|
| Bitter Kola (Garcinia kola), | 9 |
1.5%
|
|
| Bush Kola (nitida) | 1 |
0.2%
|
|
| Bush meat – mammals, reptiles, birds, etc. | 68 |
11.4%
|
|
| Bush Pepper, country spice (xylopia), etc. | 14 |
2.3%
|
|
| Bush yam/wild yam | 1 |
0.2%
|
|
| Country Atayee | 8 |
1.3%
|
|
| Diamonds | 19 |
3.2%
|
|
| Fish | 13 |
2.2%
|
|
| Frond/thatch | 21 |
3.5%
|
|
| Fuelwood/firewood | 32 |
5.4%
|
|
| Ganagana | 7 |
1.2%
|
|
| Gold | 56 |
9.4%
|
|
| Honey | 5 |
0.8%
|
|
| Makindo palm wild | 20 |
3.4%
|
|
| Mushroom | 3 |
0.5%
|
|
| Other mineral products | 2 |
0.3%
|
|
| Other non-wood forest products | 5 |
0.8%
|
|
| Other wood-based products | 30 |
5%
|
|
| Piassava | 13 |
2.2%
|
|
| Poles/fence posts | 42 |
7%
|
|
| Rattan | 44 |
7.4%
|
|
| Roots and tubers | 6 |
1%
|
|
| Rubber | 8 |
1.3%
|
|
| Snails and locusts | 3 |
0.5%
|
|
| Timber/logs | 145 |
24.3%
|
|
| Tree barks/leaves/roots | 2 |
0.3%
|
|
| Worlor | 7 |
1.2%
|
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.
Interviewer instructions
- Code Product
- IF THE SAME PRODUCT IS LISTED FOR BOTH CASH AND SUBSISTENCE, FILL OUT BOTH COLUMNS, AS RESPONSES TO FOLLOWING QUESTIONS MAY DIFFER BETWEEN COLLECTION FOR CASH AND SUBSISTENCE
- IF THE SAME PRODUCT IS LISTED FOR BOTH CASH AND SUBSISTENCE, FILL OUT BOTH COLUMNS, AS RESPONSES TO FOLLOWING QUESTIONS MAY DIFFER BETWEEN COLLECTION FOR CASH AND SUBSISTENCE