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    Home / Central Data Catalog / GHA-GSS-GLSS 4-1998-V2.0 / variable [V939]
central

Ghana Living Standard Survey 4 - 1998
With labour force model

Ghana, 1998 - 1999
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Reference ID
GHA-GSS-GLSS 4-1998-v2.0
Producer(s)
Ghana Statistical Service (GSS)
Collections
Demography
Metadata
Documentation in PDF DDI/XML JSON
Created on
Apr 06, 2009
Last modified
Mar 21, 2016
Page views
2335944
Downloads
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Related Publications
  • Data files
  • sec1-Household
    Roster
  • 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
  • sec8h-Consumption
    of Own Produce
  • sec9a-Non-food
    Expenses (Less
    frequently
    purchased
    items)
  • sec9b-Non Food
    Expenses
    (frequently
    purchased
    items)
  • Sec10a-Basic
    characteristics
    of non farm
    enterpriise
  • Sec10b-Expenditures
    -1st, 2nd and
    3rd enterprises
  • Sec10c1-Assets
    -1st, 2nd and
    3rd enterprises
  • Sec10c2-Revenue
    of the
    enterprise
  • Sec10e-Net
    income and
    revenue of the
    enterprise
  • Sec11a1-Transfer
    payment made by
    household
  • Sec11a2-Transfer
    payment made by
    household
  • Sec11b1-Income
    from transfers
  • Sec11b2-Income
    from transfers
  • Sec11c-
    Miscelleneous
    income
  • Sec11d-
    Miscelleneous
    outgoings
  • Sec12a1-Credits
  • Sec12a2-Credits
  • Sec12b-Assets
    and durable
    consumer goode
  • Sec12c-Savings
  • sec7-Housing
    Characteristics
  • sec2a- General
    Education
  • sec2b-Educational
    Career
  • sec2c-Literacy
    and
    Apprenticeship
  • sec3a-Health
    Conditions
  • sec3b-
    Preventive
    Health and
    Immunisation
  • sec3c-Postnatal
    Care
  • Sec3d-Prenatal
    care-contraceptive
    use
  • sec4a-Activity
    Status and
    Charcteristics
    of Main Job
  • Sec4b-Main
    occupation
  • Sec4c-Secondary
    occupation
  • sec4d-Underemployment
  • Sec4e-Fourth
    occupation
  • Sec4e-Employment
    search
  • Sec4g-Activity
    status in the
    past 2 weeks
  • Sec4g-Employment
    history
  • sec4i-Housekeeping
    Activities
  • sec5a-Migration

Amount spent on gifts/presents (s11dq4)

Data file: Sec11d- Miscelleneous outgoings

Overview

Valid: 5998
Valid (weighted): 5996.743
Invalid: 0
Invalid (weighted): 0
Minimum: 0
Maximum: 3000000
Mean: 31791.139
Mean (weighted): 35481.552
Standard deviation: 89788.108
Standard deviation (weighted): 97062.527
Type: Discrete
Decimal: 2
Width: 8
Range: 0 - 3000000
Format: Numeric
Weighted variable: V947

Questions and instructions

Categories
Value Category Cases Weighted
0 2236 2127
35.5%
200 1 1
0%
500 1 1
0%
1000 15 12
0.2%
1200 1 1
0%
1350 1 1
0%
1400 1 1
0%
1500 5 5
0.1%
1600 1 1
0%
1800 1 1
0%
2000 82 78
1.3%
2300 1 3
0%
2400 3 2
0%
2500 9 13
0.2%
2600 2 2
0%
3000 46 46
0.8%
3200 2 2
0%
3500 5 7
0.1%
3800 3 1
0%
4000 60 63
1%
4500 4 3
0%
4800 3 2
0%
5000 243 237
4%
5300 1 1
0%
5500 2 3
0%
5600 2 1
0%
5800 1 0
0%
6000 85 69
1.1%
6500 10 8
0.1%
6700 1 1
0%
6800 3 3
0.1%
7000 19 37
0.6%
7500 2 2
0%
7800 1 1
0%
8000 53 45
0.8%
8500 2 2
0%
8700 1 1
0%
9000 9 7
0.1%
9500 4 4
0.1%
9600 1 1
0%
9800 2 2
0%
10000 490 457
7.6%
10200 1 1
0%
10400 1 1
0%
10500 1 1
0%
10800 1 1
0%
11000 9 8
0.1%
11500 3 3
0%
12000 62 61
1%
12400 1 1
0%
12800 2 1
0%
13000 10 11
0.2%
13500 1 1
0%
13800 1 2
0%
14000 15 18
0.3%
14600 1 1
0%
14800 1 1
0%
15000 164 154
2.6%
15500 3 3
0.1%
16000 19 17
0.3%
16500 4 3
0.1%
17000 4 4
0.1%
18000 15 19
0.3%
18500 2 1
0%
18800 1 1
0%
19000 5 6
0.1%
20000 476 489
8.2%
20500 1 1
0%
21000 5 5
0.1%
21600 1 2
0%
22000 6 9
0.2%
22500 1 1
0%
23000 2 1
0%
23400 1 1
0%
24000 14 19
0.3%
25000 63 71
1.2%
26000 6 6
0.1%
27000 6 5
0.1%
28000 6 6
0.1%
29000 1 1
0%
30000 241 257
4.3%
30700 1 1
0%
31000 2 3
0%
31200 1 0
0%
32000 4 5
0.1%
32500 1 1
0%
34000 4 4
0.1%
34200 1 1
0%
35000 30 25
0.4%
36000 7 7
0.1%
37000 2 2
0%
38000 6 3
0.1%
40000 172 188
3.1%
41000 2 2
0%
41500 1 1
0%
42000 4 4
0.1%
42400 1 1
0%
42500 1 1
0%
43000 3 4
0.1%
43200 1 1
0%
44000 1 2
0%
45000 33 33
0.5%
46000 4 3
0.1%
48000 8 8
0.1%
49000 1 1
0%
50000 305 316
5.3%
51000 2 3
0%
52000 8 9
0.1%
54000 5 7
0.1%
55000 8 8
0.1%
56000 3 3
0%
58000 2 2
0%
58200 1 1
0%
58500 1 1
0%
60000 109 114
1.9%
61500 1 1
0%
62000 1 1
0%
64000 3 3
0%
65000 12 10
0.2%
67000 1 1
0%
68000 1 1
0%
69000 2 2
0%
70000 38 41
0.7%
72000 4 4
0.1%
74000 2 2
0%
75000 5 4
0.1%
77000 1 1
0%
78000 2 2
0%
80000 53 57
0.9%
80400 1 2
0%
82000 4 4
0.1%
83000 1 1
0%
85000 4 4
0.1%
86000 1 1
0%
87000 2 2
0%
90000 11 10
0.2%
93000 1 2
0%
95000 1 1
0%
95600 1 1
0%
99600 1 1
0%
100000 187 220
3.7%
100001 1 1
0%
100500 1 1
0%
102000 1 1
0%
104000 1 1
0%
105000 4 5
0.1%
106000 1 1
0%
108000 3 2
0%
110000 9 7
0.1%
115000 1 2
0%
118000 1 1
0%
120000 34 43
0.7%
121000 1 1
0%
124000 1 1
0%
125400 1 1
0%
126000 1 1
0%
130000 3 4
0.1%
130800 1 1
0%
135000 2 1
0%
138000 1 1
0%
140000 7 10
0.2%
144000 1 1
0%
145000 2 2
0%
148600 1 1
0%
150000 55 60
1%
152000 1 1
0%
154000 1 1
0%
155000 1 1
0%
156000 1 1
0%
160000 2 3
0.1%
168000 1 3
0.1%
170000 5 8
0.1%
175000 1 1
0%
175700 1 1
0%
175900 1 1
0%
176000 1 1
0%
180000 3 7
0.1%
184000 1 1
0%
188000 2 2
0%
193000 1 1
0%
200000 69 78
1.3%
205000 1 1
0%
210000 1 1
0%
211000 1 1
0%
220000 3 3
0%
223000 1 1
0%
228000 1 2
0%
230000 1 1
0%
240000 3 3
0.1%
250000 13 18
0.3%
256000 1 1
0%
270000 1 1
0%
272000 1 1
0%
280000 2 2
0%
282000 1 1
0%
283000 1 1
0%
286000 1 1
0%
300000 19 18
0.3%
305000 1 2
0%
312000 1 1
0%
320000 1 1
0%
330000 2 2
0%
335000 1 1
0%
340000 1 1
0%
350000 4 4
0.1%
360000 3 4
0.1%
370000 1 1
0%
400000 14 13
0.2%
450000 2 2
0%
480000 1 2
0%
490000 1 1
0%
500000 13 15
0.3%
510000 1 1
0%
528000 1 1
0%
550000 1 1
0%
551200 1 1
0%
557200 1 1
0%
600000 5 6
0.1%
604000 1 2
0%
620000 1 4
0.1%
650000 2 2
0%
700000 1 1
0%
750000 1 1
0%
800000 1 1
0%
1000000 5 7
0.1%
1750000 1 1
0%
2000000 2 3
0%
3000000 1 1
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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