National Household Forest Survey 2018-2019
Liberia, 2018 - 2019
Get Microdata
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
120493
Downloads
2428
- 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
unit name (S11_8EUN)
Data file: sect11_public.dta
Overview
Valid:
186021
Invalid:
-
Type:
Discrete
Start:
348
End:
362
Width:
15
Range:
-
Format:
character
Questions and instructions
Literal question
Approximately how much of the [CROP] harvested during the last farming season was (or will be) used for gifts?
- Unit name
- Unit name
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 185501 |
99.7%
|
||
| Bags | 182 |
0.1%
|
|
| Baskets | 22 |
0%
|
|
| Buckets | 41 |
0%
|
|
| Bunches | 92 |
0%
|
|
| Bundles | 97 |
0.1%
|
|
| Cups | 21 |
0%
|
|
| Gallons | 1 |
0%
|
|
| Heads (e.g., ca | 8 |
0%
|
|
| Litres | 1 |
0%
|
|
| Other, specify | 5 |
0%
|
|
| Pieces | 40 |
0%
|
|
| Piles | 10 |
0%
|
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.