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
96292
Downloads
2008
- 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
what was your total expenditure on raw materials (such as pesticides, fertilizer (S12_15A)
Data file: sect12_public.dta
Overview
Valid:
164
Invalid:
235
Minimum:
0
Maximum:
150000
Type:
Discrete
Decimal:
0
Start:
209
End:
214
Width:
6
Range:
0 - 150000
Format:
Numeric
Questions and instructions
Literal question
15. What was your total expenditure on raw materials (such as pesticides, fertilizer, vaccines, etc.) in the last week/month?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 87 |
53%
|
|
| 10 | 2 |
1.2%
|
|
| 100 | 2 |
1.2%
|
|
| 150 | 2 |
1.2%
|
|
| 200 | 1 |
0.6%
|
|
| 230 | 1 |
0.6%
|
|
| 250 | 4 |
2.4%
|
|
| 300 | 1 |
0.6%
|
|
| 500 | 11 |
6.7%
|
|
| 600 | 2 |
1.2%
|
|
| 750 | 1 |
0.6%
|
|
| 800 | 3 |
1.8%
|
|
| 1000 | 7 |
4.3%
|
|
| 1200 | 1 |
0.6%
|
|
| 1250 | 1 |
0.6%
|
|
| 1500 | 7 |
4.3%
|
|
| 1800 | 1 |
0.6%
|
|
| 2000 | 1 |
0.6%
|
|
| 2500 | 3 |
1.8%
|
|
| 3000 | 4 |
2.4%
|
|
| 3320 | 1 |
0.6%
|
|
| 3500 | 1 |
0.6%
|
|
| 4000 | 2 |
1.2%
|
|
| 5000 | 2 |
1.2%
|
|
| 5500 | 1 |
0.6%
|
|
| 6000 | 2 |
1.2%
|
|
| 8000 | 2 |
1.2%
|
|
| 10000 | 2 |
1.2%
|
|
| 11000 | 1 |
0.6%
|
|
| 20000 | 1 |
0.6%
|
|
| 28750 | 1 |
0.6%
|
|
| 30000 | 1 |
0.6%
|
|
| 50000 | 3 |
1.8%
|
|
| 86000 | 1 |
0.6%
|
|
| 150000 | 1 |
0.6%
|
|
| Sysmiss | 235 |
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.