Living Standards Survey, 2008

Ghana, 2008

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Reference ID

GHA_2008_LSS_v01_EN_M_v01_A_OCS

Producer(s)

Institute of Statistical, Social and Economic Research

Collections

Agricultural Surveys

Metadata

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Created on

Sep 02, 2020

Last modified

Sep 02, 2020

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156357

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shock (shocd)

Data file: sec7n1

Overview

Valid: 291871

Invalid: 0

Type: Discrete

Decimal: 0

Start: 10

End: 11

Width: 2

Range: 1 - 36

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
1	death of an adult working member	9232	3.2%
2	death of someone who sends remittances to the hhold	9232	3.2%
3	illness of income earning member of hhold	9230	3.2%
4	diasability of income earning member of the hhold	9223	3.2%
5	loss of an important contact	9224	3.2%
6	departure of income earning member due to seperation	9225	3.2%
7	departure of income earning member due to marriage	9224	3.2%
8	loss of job of income earning member	9227	3.2%
9	theft of crops before harvest	9229	3.2%
10	theft of harvested crops in storage	9225	3.2%
11	theft of cash	9228	3.2%
12	theft of livestock	9226	3.2%
13	theft of business stocks	9224	3.2%
14	theft of other property	9227	3.2%
15	destruction of harvest by fire	9226	3.2%
16	poor rains that caused harvest failure	9227	3.2%
17	flooding that caused harvest failure	9221	3.2%
18	pest invasion that caused harvest failure	9193	3.1%
19	pest that caused storage loss	9216	3.2%
20	plant disease that caused harvest failure	9216	3.2%
21	loss of property due to fire	9215	3.2%
22	loss of property due to flooding	9218	3.2%
23	loss of property due to riots	9207	3.2%
24	death of of livestock due to drought	9217	3.2%
25	death of livestock due to illness	9206	3.2%
26	increase in price of inputs	9207	3.2%
27	fall in the prices of output	9209	3.2%
28	increase in price of major food items consumed	9216	3.2%
29	increase in the price of water/electricity	9209	3.2%
30	increase in the price of petroleum products	9208	3.2%
31	accidents that resulted in property loss	8960	3.1%
32	other 1	6187	2.1%
33	other 2	75	0%
34	other 3	23	0%
35	other 4	20	0%
36	other 5	19	0%

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.

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