The respondent’s opinion on the rate of flooding occurrence in the study area was presented in table 1. It was observed that 24.8 percent of the sampled respondents accounts for low rate of flooding occurrence, 24.5 percent moderate rate of flooding occurrence, 33 percent account for high rate of flooding occurrence and 17.8 account for very high rate of flooding occurrence in the study area. It was generalized that rate of flooding occurrence in the study area is consistent during raining season.
Table 1: Rate of Flooding occurrence
|
|
|
Frequency
|
Percent
|
Valid Percent
|
Cumulative Percent
|
|
Low
|
99
|
24.8
|
24.8
|
24.8
|
Moderate
|
98
|
24.5
|
24.5
|
49.2
|
High
|
132
|
33.0
|
33.0
|
82.2
|
Very high
|
71
|
17.8
|
17.8
|
100.0
|
Total
|
400
|
100.0
|
100.0
|
|
|
Source; Researcher’s field work (2023)
The respondent’s opinion on the rate of traffic jam occurrence in the study area was presented in table 2. It was observed that 24.8 percent of the sampled respondents accounts for very low rate of traffic occurrence, 66 percent of high rate of traffic jam occurrence, 9.2 percent account for very high rate of traffic jam occurrence in the study area. It was generalized that rate of traffic jam occurrence in the study area is high during raining season.
Table 2: Rate of Traffic Jam occurrence
|
|
|
Frequency
|
Percent
|
Valid Percent
|
Cumulative Percent
|
|
Very low
|
99
|
24.8
|
24.8
|
24.8
|
High
|
264
|
66.0
|
66.0
|
90.8
|
Very high
|
37
|
9.2
|
9.2
|
100.0
|
Total
|
400
|
100.0
|
100.0
|
|
|
Source; Researcher’s field work (2023)
Table 3 below presented the gender of the respondent’s. It was observed that male gender was 47.5 percent while female gender was 52.5 percent of the respondents.
Table 3: Sex
|
|
|
Frequency
|
Percent
|
Valid Percent
|
Cumulative Percent
|
|
Male
|
190
|
47.5
|
47.5
|
47.5
|
Female
|
210
|
52.5
|
52.5
|
100.0
|
Total
|
400
|
100.0
|
100.0
|
|
|
Source; Researcher’s field work (2023)
Table 4 below talked about the age bracket of the respondents in the study area. It was observed that respondents of ages lower than 20 was 12.2 percent, respondents between age 21-29 was 21.5 percent, respondents between age 30-39 was 57.0 percent, with the highest percentage, then, the respondents between age 40-49 was 9.2 percent.
Table 4: Age
|
|
|
Frequency
|
Percent
|
Valid Percent
|
Cumulative Percent
|
|
lower than 20
|
49
|
12.2
|
12.2
|
12.2
|
21-29
|
86
|
21.5
|
21.5
|
33.7
|
30-39
|
228
|
57.0
|
57.0
|
90.8
|
40-49
|
37
|
9.2
|
9.2
|
100.0
|
Total
|
400
|
100.0
|
100.0
|
|
|
Source; Researcher’s field work (2023)
Table 5 presented respondent’s marital status. 17.8 percent of the respondents were singles, 46.2 percent of the respondents were married, also, 36.0 percent of the respondents were separated. It was observed that the highest respondents were married.
Table 5: Marital Status
|
|
|
Frequency
|
Percent
|
Valid Percent
|
Cumulative Percent
|
|
Single
|
71
|
17.8
|
17.8
|
17.8
|
Married
|
144
|
46.2
|
46.2
|
64.0
|
Separated
|
185
|
36.0
|
36.0
|
100.0
|
Total
|
400
|
100.0
|
100.0
|
|
|
Source; Researcher’s field work (2023)
Table 6 represented respondent’s education level. 17.8 percent of the respondents were singles, 46.2 percent of the respondents were married, and also, 36.0 percent of the respondents were separated. It was observed that the highest respondents were married
Table 6: Education Level
|
|
|
Frequency
|
Percent
|
Valid Percent
|
Cumulative Percent
|
|
Primary education
|
24
|
6.0
|
6.0
|
6.0
|
Secondary education
|
197
|
49.2
|
49.2
|
55.2
|
Tertiary education
|
179
|
44.8
|
44.8
|
100.0
|
Total
|
400
|
100.0
|
100.0
|
|
|
Source; Researcher’s field work (2023)
Table 7 below offered respondent’s occupation, 3.2 percent of the respondents were skilled worker, 61.2 percent were semi-skilled workers, and has the highest percentage level, and also, 35.5 percent of the respondents were unskilled.
Table 7: Occupation
|
|
|
Frequency
|
Percent
|
Valid Percent
|
Cumulative Percent
|
|
Skilled
|
13
|
3.2
|
3.2
|
3.2
|
Semi-skilled
|
245
|
61.2
|
61.2
|
64.5
|
Unskilled
|
142
|
35.5
|
35.5
|
100.0
|
Total
|
400
|
100.0
|
100.0
|
|
|
Source; Researcher’s field work (2023)
The respondents income was presented in table 8 below, it was observed that 35.5 percent of the respondents were earning below 30,000 naira per month, 61.2 percent of the respondents were earning between 31,000 – 50,000 naira, the respondents in this category recorded the highest, and also, 3.2 percent of the respondents earn 71,000 and above. It was observed that the highest respondents were married
Table 8: Income
|
|
|
Frequency
|
Percent
|
Valid Percent
|
Cumulative Percent
|
|
Below 30,000 naira per month
|
142
|
35.5
|
35.5
|
35.5
|
31,000 naira to 50,000 naira per month
|
245
|
61.2
|
61.2
|
96.8
|
71, 000 naira and above per month
|
13
|
3.2
|
3.2
|
100.0
|
Total
|
400
|
100.0
|
100.0
|
|
|
Source; Researcher’s field work (2023)
Table 9 below gives the percentage of flood and livelihood, 73.0 percent of the respondents were neutral while 27.0 percent were negatively affected.
Table 9: Flood and Livelihood (FL)
|
|
|
Frequency
|
Percent
|
Valid Percent
|
Cumulative Percent
|
|
Neutral
|
292
|
73.0
|
73.0
|
73.0
|
Negatively
|
108
|
27.0
|
27.0
|
100.0
|
Total
|
400
|
100.0
|
100.0
|
|
|
Source; Researcher’s field work (2023)
The table 10 below gives the Rate of Flood Occurrence in the study area. It was observed that the percentage for low was 24.8, the percentage for medium was 24.5, the percentage for high was 33.0 while the percentage for very high was 17.8. It was observed that the percentage of High in the Rate of Flood was the highest.
Table 10: Rate of Flood (RF)
|
|
|
Frequency
|
Percent
|
Valid Percent
|
Cumulative Percent
|
Valid
|
Low
|
99
|
24.8
|
24.8
|
24.8
|
Medium
|
98
|
24.5
|
24.5
|
49.2
|
High
|
132
|
33.0
|
33.0
|
82.2
|
Very high
|
71
|
17.8
|
17.8
|
100.0
|
Total
|
400
|
100.0
|
100.0
|
|
|
Source: Researchers’ computation (2023)
Effects of flood on traffic flow:
In attempt to test for the effects of flood on traffic flow, in Ado Ekiti, correlation analysis was employed and presented in table11. Flood was proxy by rate of flood occurrence (RF), while traffic flow was proxy by rate of traffic jam (RTJ). It was observed that the Pearson Correlation coefficient between the two variables was 0.840 while the probability value was 0.000, which was lower than 0.05 significant levels. By implication rate of flood occurrence have strong correlation with rate of traffic jam. Furthermore, rate of flood occurrence has statistically significant effect on rate of traffic jam in the study area. Hence, it was inferred that flood has effect on traffic jam in Ado-Ekiti.
Table 11: Correlations of the effects of flood on traffic flow
|
|
|
RF
|
RTJ
|
RF
|
Pearson Correlation
|
1
|
.840**
|
Sig. (2-tailed)
|
|
.000
|
N
|
400
|
400
|
RTJ
|
Pearson Correlation
|
.840**
|
1
|
Sig. (2-tailed)
|
.000
|
|
N
|
400
|
400
|
**. Correlation is significant at the 0.01 level (2-tailed).
Source: Researchers’ computation (2023)
The effects of flooding on socio-economic characteristics within Ado-Ekiti
In an attempt to test for the effect of flood on socio-economic characteristics of the respondents, effect of flood was proxy with RF while socio-economic characteristics were proxy with Flood and Livelihood(FL), Income(IN) and Occupation(OCC). The coefficient of determinant was 0.637while the multiple correlation coefficient was 0.798. By implication the extent which the predicting variables (FL, IN, OCC) explain the variation in the dependent variable (RF) is 63.7%. Furthermore, the dependent variable has moderate joint effects on independent variable. The F statistics value is 232.047 while the critical P value 0.000 which was lower than 0.05 significant values, thus, socio-economic characteristics of the sample respondents has statistical significant effects on dependent variable
a. Predictors: (Constant), FL, IN, Occ
b. Dependent Variable: RF
Source: Researchers’ computation (2023)