Page 11 - 867-IJMS-Olorunfemi and Emmanuel

Basic HTML Version

International Journal of Marine Science 2013, Vol.3, No.33, 258-266
http://ijms.sophiapublisher.com
263
Table 1 Socio-economic Characteristics of Tourists
S/N
Sex distribution
Frequency
Percentage
1.
Male
215
57.33
2.
Female
160
42.67
Total
375
100
Age Structure
Frequency
Percentage
1.
1
-
10 Years
22
5.90
2.
11
-
20 Years
58
15.50
3.
21
-
30 Years
160
43.00
4.
31
-
40 Years
65
17.30
5.
41
-
50 Years
30
8.00
6.
Above 50 Years
40
10.70
Total
375
100
Educational Status
Frequency
Percentage
1.
Primary School
65
17.30
2.
Secondary School
125
33.30
3.
Tertiary School
185
49.30
Total
375
100
Marital Status
Frequency
Percentage
1.
Single
220
58.67
2.
Married
125
33.33
3.
Widowed
10
2.70
4.
Divorced
20
5.33
Total
375
100
Occupational Status
Frequency
Percentage
1.
Unemployed
5
1.33
2.
Students
170
45.33
3.
Self
-
employed
30
8.00
4.
In Private Sector
69
16.00
5.
In Civil Service
110
29.33
Total
375
100
Income (N)
Frequency
Percentage
1.
10,000
-
19,000
15
4.00
2.
20,000
-
29,000
40
10.67
3.
30,000
-
39,000
45
12.00
4.
40,000
-
49,000
55
14.67
5.
50,000 59,000
85
22.67
6.
60,000 and above
135
36.00
Total
375
100
Note: Source: Author’s field survey, Septem
b
er 2008
employed in the civil service, private sector and were
entrepreneurs while 45.33% were students. Only
1.33% of the tourists were unemployed. This does not
take into consideration the fact that there were
dependent tourists such as children since the data
gathering realistically focused on mature respondents.
As could be observed on Table 1, the number of
tourists increased as the income of the tourists
increased; so that the richest group constituted the
highest number of tourists at the beach. This equally
affirmed the position of Ode (2011) that the level of
income in the society determines the level of tourism
participation.
5.2 Awareness of Lokoja confluence beach
Figure 4 indicates that the highe
st percentage
(54.66%) of tourists became aware of Lokoja Beach
during interaction with their friends while
advertisement on electronic media contributed to
awareness by some
32.0% of the tourists (Figure 4).