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
95710
Downloads
1995
- 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
how much did you spend on marketing and transport for [product]? (total) (S8_12)
Data file: sect8_public.dta
Overview
Valid:
112
Invalid:
9388
Minimum:
25
Maximum:
48000
Type:
Discrete
Decimal:
0
Start:
161
End:
165
Width:
5
Range:
25 - 48000
Format:
Numeric
Questions and instructions
Literal question
How much did you spend on marketing and transport for [PRODUCT]? (TOTAL)
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 25 | 1 |
0.9%
|
|
| 30 | 1 |
0.9%
|
|
| 100 | 4 |
3.6%
|
|
| 150 | 3 |
2.7%
|
|
| 250 | 5 |
4.5%
|
|
| 340 | 1 |
0.9%
|
|
| 350 | 1 |
0.9%
|
|
| 400 | 1 |
0.9%
|
|
| 450 | 2 |
1.8%
|
|
| 500 | 4 |
3.6%
|
|
| 550 | 1 |
0.9%
|
|
| 600 | 3 |
2.7%
|
|
| 700 | 1 |
0.9%
|
|
| 800 | 1 |
0.9%
|
|
| 850 | 1 |
0.9%
|
|
| 960 | 1 |
0.9%
|
|
| 1000 | 1 |
0.9%
|
|
| 1050 | 1 |
0.9%
|
|
| 1250 | 1 |
0.9%
|
|
| 1350 | 1 |
0.9%
|
|
| 1500 | 2 |
1.8%
|
|
| 2000 | 4 |
3.6%
|
|
| 2500 | 5 |
4.5%
|
|
| 2600 | 1 |
0.9%
|
|
| 3000 | 7 |
6.3%
|
|
| 3500 | 1 |
0.9%
|
|
| 4000 | 1 |
0.9%
|
|
| 4500 | 1 |
0.9%
|
|
| 5000 | 12 |
10.7%
|
|
| 6000 | 7 |
6.3%
|
|
| 6500 | 3 |
2.7%
|
|
| 7000 | 3 |
2.7%
|
|
| 7280 | 1 |
0.9%
|
|
| 8000 | 3 |
2.7%
|
|
| 8500 | 2 |
1.8%
|
|
| 8900 | 1 |
0.9%
|
|
| 9000 | 4 |
3.6%
|
|
| 10000 | 3 |
2.7%
|
|
| 10500 | 1 |
0.9%
|
|
| 12500 | 2 |
1.8%
|
|
| 15000 | 5 |
4.5%
|
|
| 15800 | 1 |
0.9%
|
|
| 17500 | 1 |
0.9%
|
|
| 20000 | 2 |
1.8%
|
|
| 25000 | 1 |
0.9%
|
|
| 30000 | 1 |
0.9%
|
|
| 36000 | 1 |
0.9%
|
|
| 48000 | 1 |
0.9%
|
|
| Sysmiss | 9388 |
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.