Ghana Living Standard Survey 5: 2005
With Non-Farm Household Enterprise Module
Ghana, 2005 - 2006
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Reference ID
GHA-GSS-GLSS-2005-v2.0
Producer(s)
Ghana Statistical Service (GSS)
Collections
Metadata
Created on
Dec 15, 2008
Last modified
Mar 21, 2016
Page views
4211919
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- Data files
-
sec0-Survey
Information -
sec1-Household
Roster -
sec2a- General
Education -
sec2b-Educational
Career -
sec69-Screening
Questions for
Non-farm
Enterprises -
sec2c-Literacy
and
Apprenticeship -
sec3a-Health
Conditions -
sec3b-
Preventive
Health and
Immunisation -
sec3c-Postnatal
Care -
sec3d-Fertility-Prenatal
Care -
sec3e-Contraceptive
Use and HIV and
AIDS -
sec4a-Activity
Status and
Charcteristics
of Main Job -
sec4b-Characteristics
of Secondary
Occupation - sec4c-Underemployment
- sec4d-Unemployment
-
sec4e-Characteristics
of Main
Occupation -
sec4f-Secondary
Occupation -
sec4g-Employment
Search -
sec4h-Housekeeping
Activities - sec5a-Migration
-
sec5b-Domestic
and Outbound
Tourism -
sec6-Screening
Questions for
Agriculture -
sec7-Housing
Characteristics -
secb2-Survey
Information for
PartB3 -
sec8a1-Agricultural
Assets-Land -
sec8a2-Agricultural
Assets-Livestock
and Fishing -
sec8a3-Agricultural
Assets-Equipment -
sec8b-Farm and
Land Details -
sec8c1-Harvest
and Disposal of
Crops (staple
grains) -
sec8c2-Harvest
and Disposal of
Crops (roots,
vegetables) -
sec8d-Seasonality
of Sales and
Purchases -
sec8e-Other
Agricultural
Income -
sec8f-Agricultural
Costs and
Expenses -
sec8g-Processing
of Agricltural
Produce -
sec8h-Consumption
of Own Produce -
sec9a-Non-food
Expenses (Less
frequently
purchased
items) -
sec9b-Non Food
Expenses
(frequently
purchased
items) -
sec9c-Food and
Non Food
Expenses -
sec11a-Transfer
Payments made
by Households -
sec11b-Transfer
Payments
Received by
Household -
sec11c-Miscellaneous
Income -
sec11d-Miscellaneous
Outgoings - sec12a-Credit
-
sec12b-Assets
and Durable
Goods - sec12c-Savings
-
secb0- Survey
Information for
PartB -
secb1-Survey
Information for
PartB 2 - sec3f-Insurance
-
com-sec52-Agriculture
2 -
com-sec0-Community
Information -
com-sec1-Demographic
Information -
com-sec21-Economy
and
Infrastructure
1 -
com-sec22-Economy
and
Infrastructure
2 -
com-sec23-Economy
and
Infrastructure
3 -
com-sec31-Education
1 -
com-sec32-Education
2 -
com-sec33-Education
3 -
com-sec41-Health
1 -
com-sec42-Health
2 -
com-sec43-Health
3 -
com-sec51-Agriculture
1 -
sec10a-Basic
Characteristics
of Non Farm
Enterprises - sec10b-Employment
-
sec10c1-Wage
Earnings-First
Enterprise -
sec10c2-Wage
Earnings-Second
Enterprise -
sec10d1-Revenue
of Enterprise
(closing stock) -
sec10j-Net
Income of
Enterprise -
sec10d3-Revenue
of Enterprise -
sec10e1-Other
Revenue-First
Enterprise -
sec10e2-Other
Revenue- Second
Enterprise -
sec10e-Other
Revenue -
sec10f1-Expenditure
(opening
stocks)-First
Enterprise -
sec10f2-Expenditure
(opening
stocks)-Second
Enterprise -
sec10g1-Other
Expenditure-First
Enterprise -
sec10g2-Other
Expenditure-
Second
Enterprise -
sec10h1-Assets
of First
Enterprise -
sec10h2-Assets
of Second
Enterprise -
sec10d2-Revenue
of Enterprise
Engaged in
Wholesale -
sec10d4-Preparation
and Sale of
Meals
Reason for moving (s5aq10)
Data file: sec5a-Migration
Overview
Valid:
369
Valid (weighted):
210586.409
Invalid:
800
Invalid (weighted):
366841.155
Minimum:
1
Maximum:
13
Questions and instructions
Literal question
What was the main reason for moving from (NAME OF PLACE IN Q6)to this village/town?
Categories
| Value | Category | Cases | Weighted | |
|---|---|---|---|---|
| 1 | job transfer | 11 | 6728 |
3.2%
|
| 2 | seeking employment | 34 | 21741 |
10.3%
|
| 3 | own business | 39 | 19846 |
9.4%
|
| 4 | spouse employment | 14 | 8229 |
3.9%
|
| 5 | accompanying parents | 55 | 31744 |
15.1%
|
| 6 | marriage | 48 | 26831 |
12.7%
|
| 7 | other family reasons | 112 | 61470 |
29.2%
|
| 8 | political/religious reasons | 0 | 0 |
0%
|
| 9 | education | 17 | 11481 |
5.5%
|
| 10 | war | 2 | 1420 |
0.7%
|
| 11 | fire | 0 | 0 |
0%
|
| 12 | flood/famine/drought | 0 | 0 |
0%
|
| 13 | other | 37 | 21096 |
10%
|
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.