Ghana Living Standard Survey 5: 2005
With Non-Farm Household Enterprise Module
Ghana, 2005 - 2006
Get Microdata
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
3374770
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200729
- 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
1st Ent value at end of production year (s10dq1e)
Data file: sec10d1-Revenue of Enterprise (closing stock)
Overview
Valid:
4259
Invalid:
9496
Type:
Discrete
Decimal:
2
Width:
10
Range:
0 - 30000000
Format:
Numeric
Questions and instructions
Literal question
How much of the following items did the enterprise have at the end of the production year? Value
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 0 | 2635 |
61.9%
|
| 1 | 2 |
0%
|
|
| 2 | 2 |
0%
|
|
| 5 | 4 |
0.1%
|
|
| 18 | 1 |
0%
|
|
| 24 | 1 |
0%
|
|
| 25 | 1 |
0%
|
|
| 35 | 1 |
0%
|
|
| 48 | 2 |
0%
|
|
| 100 | 3 |
0.1%
|
|
| 480 | 1 |
0%
|
|
| 500 | 8 |
0.2%
|
|
| 600 | 1 |
0%
|
|
| 1000 | 15 |
0.4%
|
|
| 1500 | 2 |
0%
|
|
| 2000 | 12 |
0.3%
|
|
| 2400 | 1 |
0%
|
|
| 3000 | 8 |
0.2%
|
|
| 3500 | 1 |
0%
|
|
| 4000 | 13 |
0.3%
|
|
| 4500 | 1 |
0%
|
|
| 4600 | 1 |
0%
|
|
| 5000 | 20 |
0.5%
|
|
| 5600 | 1 |
0%
|
|
| 6000 | 17 |
0.4%
|
|
| 6800 | 1 |
0%
|
|
| 6900 | 1 |
0%
|
|
| 7000 | 4 |
0.1%
|
|
| 7500 | 3 |
0.1%
|
|
| 8000 | 11 |
0.3%
|
|
| 9000 | 5 |
0.1%
|
|
| 10000 | 32 |
0.8%
|
|
| 10500 | 1 |
0%
|
|
| 11000 | 5 |
0.1%
|
|
| 12000 | 20 |
0.5%
|
|
| 12500 | 2 |
0%
|
|
| 12800 | 1 |
0%
|
|
| 13000 | 1 |
0%
|
|
| 14000 | 4 |
0.1%
|
|
| 15000 | 29 |
0.7%
|
|
| 16000 | 11 |
0.3%
|
|
| 17500 | 1 |
0%
|
|
| 18000 | 16 |
0.4%
|
|
| 19500 | 1 |
0%
|
|
| 20000 | 40 |
0.9%
|
|
| 21000 | 1 |
0%
|
|
| 21700 | 1 |
0%
|
|
| 22500 | 3 |
0.1%
|
|
| 24000 | 29 |
0.7%
|
|
| 25000 | 15 |
0.4%
|
|
| 26000 | 1 |
0%
|
|
| 26400 | 1 |
0%
|
|
| 27000 | 1 |
0%
|
|
| 27500 | 2 |
0%
|
|
| 28000 | 1 |
0%
|
|
| 30000 | 43 |
1%
|
|
| 32000 | 21 |
0.5%
|
|
| 33000 | 1 |
0%
|
|
| 34000 | 1 |
0%
|
|
| 35000 | 16 |
0.4%
|
|
| 36000 | 7 |
0.2%
|
|
| 40000 | 52 |
1.2%
|
|
| 42000 | 7 |
0.2%
|
|
| 44000 | 1 |
0%
|
|
| 45000 | 11 |
0.3%
|
|
| 48000 | 16 |
0.4%
|
|
| 49000 | 3 |
0.1%
|
|
| 50000 | 47 |
1.1%
|
|
| 52000 | 2 |
0%
|
|
| 54000 | 2 |
0%
|
|
| 55000 | 1 |
0%
|
|
| 56000 | 10 |
0.2%
|
|
| 60000 | 47 |
1.1%
|
|
| 63000 | 2 |
0%
|
|
| 64000 | 1 |
0%
|
|
| 65000 | 1 |
0%
|
|
| 66000 | 5 |
0.1%
|
|
| 67500 | 1 |
0%
|
|
| 68000 | 2 |
0%
|
|
| 69000 | 1 |
0%
|
|
| 70000 | 31 |
0.7%
|
|
| 72000 | 7 |
0.2%
|
|
| 73000 | 1 |
0%
|
|
| 73500 | 1 |
0%
|
|
| 75000 | 13 |
0.3%
|
|
| 78000 | 3 |
0.1%
|
|
| 80000 | 27 |
0.6%
|
|
| 81000 | 1 |
0%
|
|
| 84000 | 6 |
0.1%
|
|
| 90000 | 18 |
0.4%
|
|
| 91000 | 1 |
0%
|
|
| 95000 | 1 |
0%
|
|
| 96000 | 4 |
0.1%
|
|
| 100000 | 50 |
1.2%
|
|
| 103000 | 1 |
0%
|
|
| 105000 | 3 |
0.1%
|
|
| 108000 | 1 |
0%
|
|
| 110000 | 4 |
0.1%
|
|
| 112000 | 1 |
0%
|
|
| 115000 | 2 |
0%
|
|
| 116000 | 2 |
0%
|
|
| 120000 | 42 |
1%
|
|
| 125000 | 7 |
0.2%
|
|
| 126000 | 8 |
0.2%
|
|
| 130000 | 11 |
0.3%
|
|
| 133000 | 1 |
0%
|
|
| 135000 | 7 |
0.2%
|
|
| 140000 | 11 |
0.3%
|
|
| 144000 | 1 |
0%
|
|
| 150000 | 25 |
0.6%
|
|
| 154000 | 1 |
0%
|
|
| 160000 | 14 |
0.3%
|
|
| 168000 | 1 |
0%
|
|
| 170000 | 5 |
0.1%
|
|
| 174000 | 1 |
0%
|
|
| 175000 | 5 |
0.1%
|
|
| 180000 | 11 |
0.3%
|
|
| 189000 | 1 |
0%
|
|
| 190000 | 4 |
0.1%
|
|
| 195000 | 2 |
0%
|
|
| 200000 | 43 |
1%
|
|
| 201000 | 1 |
0%
|
|
| 210000 | 2 |
0%
|
|
| 215000 | 1 |
0%
|
|
| 216000 | 1 |
0%
|
|
| 220000 | 3 |
0.1%
|
|
| 224000 | 2 |
0%
|
|
| 225000 | 5 |
0.1%
|
|
| 240000 | 35 |
0.8%
|
|
| 245000 | 2 |
0%
|
|
| 248000 | 1 |
0%
|
|
| 250000 | 12 |
0.3%
|
|
| 255000 | 1 |
0%
|
|
| 260000 | 2 |
0%
|
|
| 270000 | 6 |
0.1%
|
|
| 272000 | 1 |
0%
|
|
| 275000 | 1 |
0%
|
|
| 276000 | 1 |
0%
|
|
| 279000 | 1 |
0%
|
|
| 280000 | 6 |
0.1%
|
|
| 285000 | 1 |
0%
|
|
| 288000 | 2 |
0%
|
|
| 300000 | 34 |
0.8%
|
|
| 308000 | 1 |
0%
|
|
| 315000 | 3 |
0.1%
|
|
| 320000 | 8 |
0.2%
|
|
| 322000 | 3 |
0.1%
|
|
| 330000 | 2 |
0%
|
|
| 337500 | 1 |
0%
|
|
| 340000 | 1 |
0%
|
|
| 345000 | 1 |
0%
|
|
| 350000 | 16 |
0.4%
|
|
| 360000 | 12 |
0.3%
|
|
| 380000 | 3 |
0.1%
|
|
| 385000 | 1 |
0%
|
|
| 390000 | 1 |
0%
|
|
| 392000 | 1 |
0%
|
|
| 396000 | 1 |
0%
|
|
| 400000 | 26 |
0.6%
|
|
| 405000 | 2 |
0%
|
|
| 420000 | 8 |
0.2%
|
|
| 424000 | 1 |
0%
|
|
| 425000 | 1 |
0%
|
|
| 427500 | 1 |
0%
|
|
| 440000 | 2 |
0%
|
|
| 450000 | 10 |
0.2%
|
|
| 464000 | 1 |
0%
|
|
| 480000 | 13 |
0.3%
|
|
| 490000 | 1 |
0%
|
|
| 495000 | 1 |
0%
|
|
| 496000 | 1 |
0%
|
|
| 500000 | 17 |
0.4%
|
|
| 510000 | 3 |
0.1%
|
|
| 520000 | 4 |
0.1%
|
|
| 522000 | 1 |
0%
|
|
| 525000 | 2 |
0%
|
|
| 540000 | 4 |
0.1%
|
|
| 560000 | 3 |
0.1%
|
|
| 576000 | 2 |
0%
|
|
| 580000 | 1 |
0%
|
|
| 600000 | 21 |
0.5%
|
|
| 612000 | 2 |
0%
|
|
| 625000 | 1 |
0%
|
|
| 630000 | 2 |
0%
|
|
| 640000 | 2 |
0%
|
|
| 650000 | 1 |
0%
|
|
| 651000 | 1 |
0%
|
|
| 660000 | 1 |
0%
|
|
| 664000 | 1 |
0%
|
|
| 670000 | 1 |
0%
|
|
| 700000 | 8 |
0.2%
|
|
| 720000 | 9 |
0.2%
|
|
| 750000 | 3 |
0.1%
|
|
| 760000 | 1 |
0%
|
|
| 780000 | 2 |
0%
|
|
| 800000 | 11 |
0.3%
|
|
| 810000 | 1 |
0%
|
|
| 840000 | 2 |
0%
|
|
| 850000 | 1 |
0%
|
|
| 852000 | 1 |
0%
|
|
| 880000 | 2 |
0%
|
|
| 900000 | 11 |
0.3%
|
|
| 920000 | 1 |
0%
|
|
| 960000 | 5 |
0.1%
|
|
| 980000 | 1 |
0%
|
|
| 1000000 | 12 |
0.3%
|
|
| 1050000 | 2 |
0%
|
|
| 1080000 | 5 |
0.1%
|
|
| 1100000 | 1 |
0%
|
|
| 1120000 | 1 |
0%
|
|
| 1150000 | 1 |
0%
|
|
| 1155000 | 1 |
0%
|
|
| 1160000 | 1 |
0%
|
|
| 1200000 | 16 |
0.4%
|
|
| 1250000 | 5 |
0.1%
|
|
| 1260000 | 1 |
0%
|
|
| 1300000 | 2 |
0%
|
|
| 1325000 | 1 |
0%
|
|
| 1350000 | 2 |
0%
|
|
| 1400000 | 3 |
0.1%
|
|
| 1425000 | 1 |
0%
|
|
| 1440000 | 5 |
0.1%
|
|
| 1500000 | 13 |
0.3%
|
|
| 1584000 | 1 |
0%
|
|
| 1600000 | 4 |
0.1%
|
|
| 1620000 | 2 |
0%
|
|
| 1680000 | 1 |
0%
|
|
| 1690000 | 1 |
0%
|
|
| 1720000 | 1 |
0%
|
|
| 1750000 | 1 |
0%
|
|
| 1760000 | 1 |
0%
|
|
| 1800000 | 12 |
0.3%
|
|
| 1820000 | 1 |
0%
|
|
| 1890000 | 1 |
0%
|
|
| 1900000 | 1 |
0%
|
|
| 1920000 | 1 |
0%
|
|
| 1980000 | 1 |
0%
|
|
| 2000000 | 7 |
0.2%
|
|
| 2097600 | 1 |
0%
|
|
| 2100000 | 3 |
0.1%
|
|
| 2200000 | 1 |
0%
|
|
| 2250000 | 3 |
0.1%
|
|
| 2400000 | 5 |
0.1%
|
|
| 2441400 | 1 |
0%
|
|
| 2500000 | 8 |
0.2%
|
|
| 2520000 | 1 |
0%
|
|
| 2600000 | 1 |
0%
|
|
| 2700000 | 1 |
0%
|
|
| 2760000 | 1 |
0%
|
|
| 2800000 | 1 |
0%
|
|
| 2880000 | 2 |
0%
|
|
| 3000000 | 8 |
0.2%
|
|
| 3250000 | 1 |
0%
|
|
| 3500000 | 1 |
0%
|
|
| 3600000 | 4 |
0.1%
|
|
| 3700000 | 1 |
0%
|
|
| 3780000 | 1 |
0%
|
|
| 3900000 | 1 |
0%
|
|
| 4000000 | 2 |
0%
|
|
| 4320000 | 1 |
0%
|
|
| 4480000 | 1 |
0%
|
|
| 4500000 | 4 |
0.1%
|
|
| 4680000 | 1 |
0%
|
|
| 5000000 | 5 |
0.1%
|
|
| 5250000 | 1 |
0%
|
|
| 5280000 | 1 |
0%
|
|
| 5400000 | 1 |
0%
|
|
| 5780000 | 1 |
0%
|
|
| 6000000 | 3 |
0.1%
|
|
| 6160000 | 1 |
0%
|
|
| 6400000 | 1 |
0%
|
|
| 6500000 | 2 |
0%
|
|
| 7200000 | 1 |
0%
|
|
| 7500000 | 3 |
0.1%
|
|
| 8000000 | 4 |
0.1%
|
|
| 9000000 | 5 |
0.1%
|
|
| 9300000 | 1 |
0%
|
|
| 10000000 | 3 |
0.1%
|
|
| 12000000 | 1 |
0%
|
|
| 14000000 | 1 |
0%
|
|
| 14500000 | 1 |
0%
|
|
| 15000000 | 1 |
0%
|
|
| 16000000 | 1 |
0%
|
|
| 17010000 | 1 |
0%
|
|
| 20000000 | 2 |
0%
|
|
| 21000000 | 1 |
0%
|
|
| 25000000 | 1 |
0%
|
|
| 30000000 | 1 |
0%
|
|
| Sysmiss | 9496 |
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.