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Ghana Socioeconomic Panel Survey 2009-2010, Wave 1

Ghana, 2009 - 2010
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Reference ID
gha-isser-gseps-2009-2010-v1
Producer(s)
Institute of Statistical, Social and Economic Research
Collections
African Centre of Excellence for Inequality Research-Ghana Node
Metadata
Documentation in PDF DDI/XML JSON
Created on
Nov 10, 2021
Last modified
Dec 09, 2023
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In the last month, what good(s) /service(s) did you buy that you now regret? mos (s10aiii_a19_1)

Data file: s10aiii

Overview

Valid: 1120
Invalid: 8489
Type: Discrete
Decimal: 0
Width: 16
Range: -8 - 88
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-8 NONE 155
13.8%
1 Cement block 24
2.1%
2 Poster Colours 3
0.3%
3 Fishing net 4
0.4%
4 Foot wear 114
10.2%
5 Alcoholic beverages 7
0.6%
6 Clothing/cloth 239
21.3%
7 Mobile phone/Accessories 88
7.9%
8 Food 148
13.2%
9 Watch 16
1.4%
10 Canoe/Outboard motor 1
0.1%
11 Cooking utensils 12
1.1%
12 Farm tools 2
0.2%
13 Bag/Suitcase 26
2.3%
14 Lantern/Torch light/light bulb 8
0.7%
15 Toffees 2
0.2%
16 Transport fee 1
0.1%
17 Standing fan 4
0.4%
18 DVD Player/Deck 14
1.3%
19 Cosmetics 7
0.6%
20 Stationery/Educational Materials 36
3.2%
21 Tray 0
0%
22 Drinking glasses/cup 3
0.3%
23 Computer/Accessories 13
1.2%
24 Remote control 0
0%
25 Lamp Holder 1
0.1%
26 Medicine/Chemicals 10
0.9%
27 Television/Accessories 17
1.5%
28 Gambling 1
0.1%
29 Sound system/Radio 21
1.9%
30 Detergents/Soap 3
0.3%
31 Mirror 3
0.3%
32 Insurance policy 1
0.1%
33 Towel 3
0.3%
34 Litigation/Bail 0
0%
35 Ceremony/Festival 1
0.1%
36 Iron 1
0.1%
37 Sewing machine 2
0.2%
38 Pincers 1
0.1%
39 Bedspread/Bed sheets/Curtains 3
0.3%
40 Building materials 10
0.9%
41 Refrigerator 5
0.4%
42 Spent money on women 1
0.1%
43 Dryer hand and hair 5
0.4%
44 Furniture 2
0.2%
45 Bicycle/Accessories 6
0.5%
46 Mattress 2
0.2%
47 Noozle 2
0.2%
48 Extension board 2
0.2%
49 Generator 2
0.2%
50 Washing machine 1
0.1%
51 Gas cooker 3
0.3%
52 Massager 1
0.1%
53 Fertilizer/Farm chemicals 3
0.3%
54 Seedlings 0
0%
55 School fees 1
0.1%
56 Livestock 6
0.5%
57 Battery 2
0.2%
58 Belt 9
0.8%
59 Land 0
0%
60 Ballon 2
0.2%
61 Wig / Hair do/ Hair Accessories 7
0.6%
62 Car/Motor and Accessories 12
1.1%
63 Water Heater 2
0.2%
64 IPOD/CD 3
0.3%
65 Blender 2
0.2%
66 Vegetables 4
0.4%
67 Hair Tonger 1
0.1%
68 Basin 3
0.3%
69 Games 2
0.2%
70 Fuel 2
0.2%
71 Gifts 0
0%
72 Plot of land 0
0%
73 Umbrella 1
0.1%
74 Rice cooker 1
0.1%
75 Jewelry 3
0.3%
76 Camera 4
0.4%
77 Key/Padlock 2
0.2%
78 Paint 0
0%
79 Drilling machine 0
0%
80 Spraying machine 1
0.1%
81 Printing/photocopying 1
0.1%
82 Tobacco/cigarette 0
0%
83 Pets 0
0%
84 Bucket 1
0.1%
85 Stone crasher 1
0.1%
86 Charcoal/firewood 3
0.3%
87 Electric iron 2
0.2%
88 Spare parts 2
0.2%
Sysmiss 8489
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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