Household Income and Expenditure Survey 2016-2017
Liberia, 2016 - 2017
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Reference ID
LBR_2016-2017_HIES-W3_v01_EN_M_v01_A_OCS
Producer(s)
Liberia Institute for Statistics and Geo-Information Services
Collections
Metadata
Created on
Oct 14, 2020
Last modified
Nov 08, 2022
Page views
96776
Downloads
264
- Data files
- AG_01_&_FILT
- AG_02
- AG_03
- AG_04
- AG_5A_1
- AG_5A_2
- AG_5A_3
- AG_5A_4
- AG_5B_1
- AG_5B_2
- AG_5B_3
- AG_5B_4
- AG_06
- AG_07
- AG_08
- AG_09
- AG_10A_1
- AG_10A_2
- AG_10B
- AG_11
- AG_12
- ALLHH_A_weighted
- HH_A&FILT
- HH_B
- HH_C
- HH_D
- HH_E
- HH_F
- HH_G
- HH_H
- HH_I1
- HH_I2
- HH_J1
- HH_J2
- HH_K1
- HH_K2
- HH_L1A
- HH_L1B
- HH_L2
- HH_M
- HH_N1
- HH_N2
- HH_N3
- HH_O
- HH_P1
- HH_P2
- HH_Q
- HH_R1
- HH_S
- HH_R
What was the cause of this situation? 3RD (hh_i_10_3)
Data file: HH_I1
Overview
Valid:
1
Invalid:
8348
Type:
Discrete
Decimal:
0
Start:
64
End:
65
Width:
2
Range:
1 - 12
Format:
Numeric
Questions and instructions
Literal question
What was the cause of this situation - 3rd?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Inadequate household stocks due to early or heavy rain/floods | 1 |
100%
|
| 2 | Inadequate household stocks due to late rain/drought | 0 |
0%
|
| 3 | Inadequate food stocks during planting season (hunger time) | 0 |
0%
|
| 4 | Inadequate household food stocks due to plant disease/insects | 0 |
0%
|
| 5 | Inadequate household food stocks due to bird/grass cutter (groundhog) attacks | 0 |
0%
|
| 6 | Inadequate household food stocks due to landslide/erosion | 0 |
0%
|
| 7 | Inadequate household food stocks due to small land size | 0 |
0%
|
| 8 | Inadequate household food stocks due to lack of farm inputs | 0 |
0%
|
| 9 | Food in the market was very expensive | 0 |
0%
|
| 10 | Inaccessible markets due to high transportation costs/ bad roads | 0 |
0%
|
| 11 | No food in the market | 0 |
0%
|
| 12 | Other, specify | 0 |
0%
|
| Sysmiss | 8348 |
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.