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Ghana - Ghana Living Standard Survey 5: 2005, With Non-Farm Household Enterprise Module
| Reference ID | GHA-GSS-GLSS-2005-v2.0 |
| Year | 2005 - 2006 |
| Country | Ghana |
| Producer(s) | Ghana Statistical Service (GSS) - Office of the President |
| Sponsor(s) | Government of Ghana - GOG - Funding World Bank - WB - Support European Union - EU - Support |
| Metadata |
 Documentation in PDF
|
Created on
Dec 15, 2008
Last modified
Mar 21, 2016
Page views
4914220
- sec0-Survey Informat
ion - sec1-Household Roste
r - sec2a- General Educa
tion - sec2b-Educational Ca
reer - sec2c-Literacy and A
pprenticeship - sec3a-Health Conditi
ons - sec3b- Preventive He
alth and Immunisatio
n - sec3c-Postnatal Care
- sec3d-Fertility-Pren
atal Care - sec3e-Contraceptive
Use and HIV and AIDS - sec3f-Insurance
- sec4a-Activity Statu
s and Charcteristics
of Main Job - sec4b-Characteristic
s of Secondary Occup
ation - sec4c-Underemploymen
t - sec4d-Unemployment
- sec4e-Characteristic
s of Main Occupation - sec4f-Secondary Occu
pation - sec4g-Employment Sea
rch - sec4h-Housekeeping A
ctivities - sec5a-Migration
- sec5b-Domestic and O
utbound Tourism - sec6-Screening Quest
ions for Agriculture - sec69-Screening Ques
tions for Non-farm E
nterprises - sec7-Housing Charact
eristics - secb0- Survey Inform
ation for PartB - secb1-Survey Informa
tion for PartB 2 - secb2-Survey Informa
tion for PartB3 - sec8a1-Agricultural
Assets-Land - sec8a2-Agricultural
Assets-Livestock and
Fishing - sec8a3-Agricultural
Assets-Equipment - sec8b-Farm and Land
Details - sec8c1-Harvest and D
isposal of Crops (st
aple grains) - sec8c2-Harvest and D
isposal of Crops (ro
ots, vegetables) - sec8d-Seasonality of
Sales and Purchases - sec8e-Other Agricult
ural Income - sec8f-Agricultural C
osts and Expenses - sec8g-Processing of
Agricltural Produce - sec8h-Consumption of
Own Produce - sec9a-Non-food Expen
ses (Less frequently
purchased items) - sec9b-Non Food Expen
ses (frequently purc
hased items) - sec9c-Food and Non F
ood Expenses - sec10a-Basic Charact
eristics of Non Farm
Enterprises - sec10b-Employment
- sec10c1-Wage Earning
s-First Enterprise - sec10c2-Wage Earning
s-Second Enterprise - sec10d1-Revenue of E
nterprise (closing s
tock) - sec10d2-Revenue of E
nterprise Engaged in
Wholesale - sec10d3-Revenue of E
nterprise - sec10d4-Preparation
and Sale of Meals - sec10e-Other Revenue
- sec10e1-Other Revenu
e-First Enterprise - sec10e2-Other Revenu
e- Second Enterprise - sec10f1-Expenditure
(opening stocks)-Fir
st Enterprise - sec10f2-Expenditure
(opening stocks)-Sec
ond Enterprise - sec10g1-Other Expend
iture-First Enterpri
se - sec10g2-Other Expend
iture- Second Enterp
rise - sec10h1-Assets of Fi
rst Enterprise - sec10h2-Assets of Se
cond Enterprise - sec10j-Net Income of
Enterprise - sec11a-Transfer Paym
ents made by Househo
lds - sec11b-Transfer Paym
ents Received by Hou
sehold - sec11c-Miscellaneous
Income - sec11d-Miscellaneous
Outgoings - sec12a-Credit
- sec12b-Assets and Du
rable Goods - sec12c-Savings
- com-sec0-Community I
nformation - com-sec1-Demographic
Information - com-sec21-Economy an
d Infrastructure 1 - com-sec22-Economy an
d Infrastructure 2 - com-sec23-Economy an
d 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-Agricultur
e 1 - com-sec52-Agricultur
e 2
2nd Ent-amount spent on item in last 2 wks
(s10gq15)
File: sec10g2-Other Expenditure- Second Enterprise
File: sec10g2-Other Expenditure- Second Enterprise
Overview
Type:
Discrete Format: numeric Width: 10 Decimals: 2 Range: 0-3840000 | Valid cases: 344 Invalid: 4089 |
Questions and instructions
Literal question
How much did you spend on ... during the last 2 weeks?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 0 | 132 |  38.4%
|
| 800 | 1 | 0.3%
| |
| 1000 | 4 | 1.2%
| |
| 1400 | 1 | 0.3%
| |
| 1500 | 1 | 0.3%
| |
| 1600 | 1 | 0.3%
| |
| 2000 | 3 | 0.9%
| |
| 2200 | 1 | 0.3%
| |
| 2400 | 1 | 0.3%
| |
| 2800 | 1 | 0.3%
| |
| 3000 | 5 | 1.5%
| |
| 4000 | 9 | 2.6%
| |
| 4200 | 1 | 0.3%
| |
| 4800 | 2 | 0.6%
| |
| 5000 | 2 | 0.6%
| |
| 5400 | 1 | 0.3%
| |
| 5600 | 2 | 0.6%
| |
| 6000 | 2 | 0.6%
| |
| 7000 | 3 | 0.9%
| |
| 8000 | 2 | 0.6%
| |
| 8400 | 2 | 0.6%
| |
| 9000 | 2 | 0.6%
| |
| 10000 | 11 | 3.2%
| |
| 11200 | 1 | 0.3%
| |
| 11400 | 1 | 0.3%
| |
| 12000 | 7 | 2.0%
| |
| 14000 | 4 | 1.2%
| |
| 15000 | 3 | 0.9%
| |
| 16000 | 3 | 0.9%
| |
| 18000 | 3 | 0.9%
| |
| 19000 | 1 | 0.3%
| |
| 20000 | 14 | 4.1%
| |
| 21000 | 1 | 0.3%
| |
| 22000 | 1 | 0.3%
| |
| 24000 | 3 | 0.9%
| |
| 25000 | 1 | 0.3%
| |
| 28000 | 2 | 0.6%
| |
| 30000 | 8 | 2.3%
| |
| 32500 | 1 | 0.3%
| |
| 33000 | 1 | 0.3%
| |
| 34600 | 1 | 0.3%
| |
| 35000 | 2 | 0.6%
| |
| 36000 | 2 | 0.6%
| |
| 40000 | 4 | 1.2%
| |
| 42000 | 1 | 0.3%
| |
| 48000 | 4 | 1.2%
| |
| 50000 | 5 | 1.5%
| |
| 51000 | 1 | 0.3%
| |
| 56000 | 2 | 0.6%
| |
| 60000 | 6 | 1.7%
| |
| 64000 | 1 | 0.3%
| |
| 65000 | 1 | 0.3%
| |
| 66000 | 1 | 0.3%
| |
| 70000 | 4 | 1.2%
| |
| 74000 | 1 | 0.3%
| |
| 75000 | 1 | 0.3%
| |
| 80000 | 5 | 1.5%
| |
| 90000 | 1 | 0.3%
| |
| 100000 | 7 | 2.0%
| |
| 110000 | 2 | 0.6%
| |
| 119500 | 1 | 0.3%
| |
| 120000 | 4 | 1.2%
| |
| 130000 | 2 | 0.6%
| |
| 138000 | 1 | 0.3%
| |
| 140000 | 1 | 0.3%
| |
| 150000 | 3 | 0.9%
| |
| 156000 | 1 | 0.3%
| |
| 162500 | 1 | 0.3%
| |
| 168000 | 1 | 0.3%
| |
| 200000 | 1 | 0.3%
| |
| 210000 | 1 | 0.3%
| |
| 226000 | 1 | 0.3%
| |
| 240000 | 1 | 0.3%
| |
| 270000 | 1 | 0.3%
| |
| 300000 | 3 | 0.9%
| |
| 315000 | 1 | 0.3%
| |
| 320000 | 1 | 0.3%
| |
| 360000 | 1 | 0.3%
| |
| 368000 | 1 | 0.3%
| |
| 378000 | 1 | 0.3%
| |
| 400000 | 2 | 0.6%
| |
| 420000 | 2 | 0.6%
| |
| 450200 | 1 | 0.3%
| |
| 542000 | 1 | 0.3%
| |
| 612000 | 1 | 0.3%
| |
| 672000 | 1 | 0.3%
| |
| 680000 | 1 | 0.3%
| |
| 700000 | 1 | 0.3%
| |
| 800000 | 1 | 0.3%
| |
| 841600 | 1 | 0.3%
| |
| 1000000 | 1 | 0.3%
| |
| 1008000 | 1 | 0.3%
| |
| 1231000 | 1 | 0.3%
| |
| 1300000 | 1 | 0.3%
| |
| 1680000 | 1 | 0.3%
| |
| 2315000 | 1 | 0.3%
| |
| 3840000 | 1 | 0.3%
| |
| Sysmiss | 4089 |
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.