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
57376
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- 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
Shock ID (hh_q_00)
Data file: HH_Q
Overview
Valid:
10921
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
39
End:
41
Width:
3
Range:
101 - 119
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | Drought or Floods | 337 |
3.1%
|
| 102 | Crop disease or crop pests such as ground-hog attacks | 1661 |
15.2%
|
| 103 | Livestock died or were stolen | 298 |
2.7%
|
| 104 | Household business failure, non-agricultural | 284 |
2.6%
|
| 105 | Loss of salaried employment or non-payment of salary | 187 |
1.7%
|
| 106 | Large fall in sale prices for crops | 98 |
0.9%
|
| 107 | Large rise in price of food | 1259 |
11.5%
|
| 108 | Large rise in agricultural input prices | 85 |
0.8%
|
| 109 | Severe water shortage | 852 |
7.8%
|
| 110 | Restricted access to markets | 433 |
4%
|
| 111 | Chronic/severe illness or accident of household member | 928 |
8.5%
|
| 112 | Death of a member of household | 416 |
3.8%
|
| 113 | Death of other family member | 2578 |
23.6%
|
| 114 | Break-up of the household | 174 |
1.6%
|
| 115 | Conflict/Violence | 183 |
1.7%
|
| 116 | Bushfire/Fire | 41 |
0.4%
|
| 117 | Hijacking/Robbery/burglary/assault/Theft | 664 |
6.1%
|
| 118 | Dwelling damaged, destroyed | 313 |
2.9%
|
| 119 | Other, Specify | 130 |
1.2%
|
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.