Home / Central Data Catalog / NGA-NBS-NLSS-2003-V1.2 / variable [F59]
central

Nigeria Living Standard Survey 2003
First round

Nigeria, 2003 - 2004
Get Microdata
Reference ID
NGA-NBS-NLSS-2003-v1.2
Producer(s)
National Bureau of Statistics
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 18, 2010
Last modified
Nov 13, 2018
Page views
1509285
Downloads
75958

The acitvity's industrial code that bring most money 2 (Mostmon2)

Data file: Identification of respondent for agric and business questions

Overview

Valid: 1337
Invalid: 17777
Minimum: 0
Maximum: 126
Type: Continuous
Decimal: 0
Start: 162
End: 164
Width: 3
Range: 0 - 126
Format: Numeric

Questions and instructions

Literal question
Which of these bring most money? (Up to 3 in order of importance)
Categories
Value Category Cases
1 Cocoa 5
0.4%
2 Coffee 3
0.2%
3 Pineapple 1
0.1%
4 Oil palm 4
0.3%
5 Sheanut/butter 2
0.2%
6 Kola nut 2
0.2%
7 Cotton 0
0%
8 Coconut 0
0%
9 Tobacco 0
0%
10 Sugarcane 0
0%
11 Other cash crops 4
0.3%
12 Food crops 3
0.2%
13 Rice 13
1%
14 Sorghum/millet 15
1.1%
15 Cassava 16
1.2%
16 Yam 5
0.4%
17 Cocoyam 0
0%
18 Plantains 1
0.1%
19 Fruits 3
0.2%
20 Vegetables 0
0%
21 Beans and peas 3
0.2%
22 Other food crops 4
0.3%
23 Cattle 0
0%
24 Goat 0
0%
25 Sheep 1
0.1%
26 Pigs 0
0%
27 Poultry 1
0.1%
28 Other livestock 0
0%
29 Milk,butter 1
0.1%
30 Hunting 1
0.1%
31 Logging 1
0.1%
32 Firewood gather 2
0.2%
33 Charcoal 0
0%
34 Other forest 1
0.1%
35 Marine fishing 5
0.4%
36 Inland fishing 5
0.4%
37 Coal mining 0
0%
38 Crude petroleum 0
0%
39 Iron ores 0
0%
40 Quarring and 53
4%
41 Oil refining 106
8%
42 Cement productio 7
0.5%
43 Production charc 0
0%
44 Slaughtering and 5
0.4%
45 Other food pro 38
2.9%
46 Basket making 4
0.3%
47 Other manufactur 8
0.6%
48 Drinks beverages 5
0.4%
49 Textile and clot 58
4.4%
50 Tootwear and lea 1
0.1%
60 Wood,paper,print 6
0.5%
61 Drugs and chemic 74
5.6%
62 Rubber and plast 6
0.5%
63 Iron and steel 0
0%
64 Fabricated metal 8
0.6%
65 Vehicle assembly 0
0%
66 Electricity 3
0.2%
67 Water supply 1
0.1%
68 Gas 0
0%
69 Const.Of build 2
0.2%
70 Roads and bridge 0
0%
71 Other construct 4
0.3%
72 Informal mod.Mat 7
0.5%
73 Informal mud raf 2
0.2%
74 Wholesale trade 28
2.1%
75 Retail trade 544
40.9%
76 Hotel and restau 1
0.1%
77 Hotel/restaurant 46
3.5%
78 Food seller 26
2%
79 Road tran.Pass.D 51
3.8%
80 Road tran.Freigh 5
0.4%
81 Rail and pipelin 0
0%
82 Water trans larg 0
0%
83 Water trans loca 1
0.1%
84 Air transport 2
0.2%
85 Transport ser. 2
0.2%
86 Cold store opera 0
0%
87 Private warhousi 1
0.1%
88 Telecom fixed 0
0%
89 Telecom mobile 1
0.1%
90 Post office 1
0.1%
91 Post currier 0
0%
92 Broadcasting 0
0%
93 Operation of com 1
0.1%
94 Central bank 3
0.2%
95 Other banks 0
0%
96 Other financial 0
0%
97 Money lending 1
0.1%
98 Esusu operator 0
0%
99 Forex bureau 6
0.5%
100 Insurance 0
0%
101 Real estate govt 1
0.1%
102 Real estate othe 0
0%
103 Rental agents 0
0%
104 Consultancies 2
0.2%
105 Other bus.Servic 11
0.8%
106 Personal service 22
1.7%
107 Beauty care serv 3
0.2%
108 Hairdressing/bar 30
2.3%
109 Domestic serv.La 3
0.2%
120 Enter.And recrea 0
0%
121 Refuse disposal 0
0%
122 Other services 26
2%
123 Public admini 4
0.3%
124 Health 2
0.2%
125 Education 6
0.5%
126 Intern.Org./ngos 1
0.1%
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.
Back to Catalog