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
98903
Downloads
2065
- 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
from rural areas (S14_4A)
Data file: sect14_public.dta
Overview
Valid:
841
Invalid:
45818
Minimum:
0
Maximum:
900500
Type:
Discrete
Decimal:
0
Start:
183
End:
188
Width:
6
Range:
0 - 900500
Format:
Numeric
Questions and instructions
Literal question
How much of [SOURCE] came from rural locations?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | none | 557 |
66.2%
|
| 6 | 1 |
0.1%
|
|
| 10 | 1 |
0.1%
|
|
| 28 | 1 |
0.1%
|
|
| 40 | 1 |
0.1%
|
|
| 50 | 1 |
0.1%
|
|
| 100 | 2 |
0.2%
|
|
| 150 | 3 |
0.4%
|
|
| 200 | 2 |
0.2%
|
|
| 250 | 2 |
0.2%
|
|
| 300 | 4 |
0.5%
|
|
| 450 | 2 |
0.2%
|
|
| 500 | 14 |
1.7%
|
|
| 580 | 1 |
0.1%
|
|
| 600 | 1 |
0.1%
|
|
| 700 | 2 |
0.2%
|
|
| 800 | 1 |
0.1%
|
|
| 1000 | 13 |
1.5%
|
|
| 1200 | 2 |
0.2%
|
|
| 1250 | 2 |
0.2%
|
|
| 1300 | 1 |
0.1%
|
|
| 1500 | 17 |
2%
|
|
| 1800 | 1 |
0.1%
|
|
| 1850 | 1 |
0.1%
|
|
| 2000 | 24 |
2.9%
|
|
| 2100 | 1 |
0.1%
|
|
| 2200 | 1 |
0.1%
|
|
| 2300 | 2 |
0.2%
|
|
| 2400 | 2 |
0.2%
|
|
| 2450 | 1 |
0.1%
|
|
| 2500 | 16 |
1.9%
|
|
| 3000 | 11 |
1.3%
|
|
| 3100 | 1 |
0.1%
|
|
| 3450 | 1 |
0.1%
|
|
| 3500 | 3 |
0.4%
|
|
| 3650 | 1 |
0.1%
|
|
| 4000 | 10 |
1.2%
|
|
| 4200 | 1 |
0.1%
|
|
| 4450 | 1 |
0.1%
|
|
| 4500 | 5 |
0.6%
|
|
| 5000 | 22 |
2.6%
|
|
| 5200 | 1 |
0.1%
|
|
| 5350 | 1 |
0.1%
|
|
| 5400 | 1 |
0.1%
|
|
| 5500 | 2 |
0.2%
|
|
| 5550 | 1 |
0.1%
|
|
| 5600 | 1 |
0.1%
|
|
| 6000 | 6 |
0.7%
|
|
| 6500 | 2 |
0.2%
|
|
| 7000 | 9 |
1.1%
|
|
| 7500 | 1 |
0.1%
|
|
| 8000 | 8 |
1%
|
|
| 8500 | 3 |
0.4%
|
|
| 8650 | 1 |
0.1%
|
|
| 9000 | 1 |
0.1%
|
|
| 9600 | 1 |
0.1%
|
|
| 9700 | 1 |
0.1%
|
|
| 9800 | 1 |
0.1%
|
|
| 10000 | 10 |
1.2%
|
|
| 12000 | 1 |
0.1%
|
|
| 12500 | 1 |
0.1%
|
|
| 13500 | 1 |
0.1%
|
|
| 15000 | 10 |
1.2%
|
|
| 18000 | 2 |
0.2%
|
|
| 19000 | 1 |
0.1%
|
|
| 20000 | 7 |
0.8%
|
|
| 20500 | 1 |
0.1%
|
|
| 22500 | 2 |
0.2%
|
|
| 25000 | 5 |
0.6%
|
|
| 25355 | 1 |
0.1%
|
|
| 30000 | 4 |
0.5%
|
|
| 35000 | 1 |
0.1%
|
|
| 40000 | 1 |
0.1%
|
|
| 45000 | 1 |
0.1%
|
|
| 50000 | 2 |
0.2%
|
|
| 55000 | 1 |
0.1%
|
|
| 75000 | 2 |
0.2%
|
|
| 80000 | 2 |
0.2%
|
|
| 112500 | 1 |
0.1%
|
|
| 150000 | 2 |
0.2%
|
|
| 165000 | 1 |
0.1%
|
|
| 200000 | 2 |
0.2%
|
|
| 350000 | 1 |
0.1%
|
|
| 900500 | 1 |
0.1%
|
|
| Sysmiss | 45818 |
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.