This section discusses the socio-economic characteristics of the respondents in the study area, their sources of water, and the quality and quantity of water supplied.
4.1. Socio-Economic Characteristics of the Respondents
The socio-economic characteristics of the people considered here include gender, age, marital status, occupation and monthly income (
Table 2,
Table 3 and
Table 4). The data shows that 55% of the respondents are women, compared to 45% men. This gender disparity suggests that the responsibility for water collection largely falls on women in the community. In many rural societies, women often bear the primary responsibility for household chores, including sourcing water for domestic use.
Women’s greater involvement in water collection may point to gender-based labor divisions, reflecting a traditional role where women are seen as caretakers of the family’s water needs. This could limit women’s time for other economic activities, further reinforcing cycles of poverty. Additionally, this gendered burden could increase women’s vulnerability to health and social risks as they travel long distances to collect water, especially in areas with inadequate or unsafe water sources. Programs aimed at improving water access should therefore be gender-sensitive and consider the need to reduce this burden on women.
All age groups are reported to participate in water collection. This indicates that the search for water is a critical activity involving everyone, irrespective of age. Older individuals, adults, and even younger people are involved in ensuring the household has adequate water. The involvement of all age groups in water collection may reflect the severity of the water scarcity problem in the area. When older adults and younger individuals are required to collect water, it suggests that access to water is neither convenient nor sufficient. This could have further implications on health, education, and economic productivity. Younger people, for instance, may be missing out on school, while older individuals may be physically strained by the demands of water collection. These factors demonstrate the multifaceted impact of water scarcity on all aspects of daily life, from health to education and overall well-being.
The majority of respondents are married (52.5%), followed by singles (27.2%), with the rest either widowed or divorced. The high proportion of married individuals might reflect the dominant family structure in rural settings, where households often consist of multiple members with shared domestic responsibilities, including water collection. Married individuals, particularly in rural areas, are more likely to have larger households, increasing the demand for water for domestic use. Larger families may face more significant challenges in terms of water consumption and storage, as more people require a greater amount of water daily. This increases the stress on already limited water resources. Additionally, widowed or divorced individuals, especially women, may face unique challenges in water access if they do not have a reliable social or family support network, as they may need to collect water alone.
A significant proportion of the population (58.2%) earns less than ₦30,000 per month as shown in
Table 2, which is below Nigeria’s minimum wage. This finding indicates that most respondents fall within the low-income bracket, and this may have a direct impact on their ability to access safe and reliable water sources. Low-income earners may lack the financial resources to invest in improved water infrastructure or purchase water from safer but more expensive sources. The relationship between income and water access is often critical in rural areas, where public water infrastructure may be lacking or inadequate. Lower-income households may resort to using unsafe water sources, such as streams, rivers, or unprotected wells, increasing the risk of waterborne diseases. This highlights the socio-economic constraints that limit people’s ability to secure clean water, which is essential for maintaining health and preventing disease. Policymakers should focus on subsidizing water access for low-income earners and improving affordable access to clean water in rural communities.
The data shows that 56% of the respondents are farmers as presented in
Table 3, while others may be engaged in small-scale or informal economic activities. Agriculture is typically a low-income occupation in rural areas, especially in subsistence farming, where the market for surplus produce is limited. Farming communities often face economic challenges due to unpredictable weather conditions, limited access to modern farming equipment, and market constraints. The reliance on agriculture as the primary source of income for most of the population means that water access is not just a household issue but also an agricultural one. Farmers may require water for their crops and livestock, in addition to household consumption. However, limited income means they may not be able to invest in irrigation systems or other water-saving technologies, compounding the difficulties of water scarcity in the region. Improving the water infrastructure in such communities could have a dual benefit—enhancing both household consumption and agricultural productivity.
A large portion of respondents (41%) have no formal education as indicated in
Table 4, while only 18% have attained post-secondary education. This indicates a generally low level of formal education in the area, which could affect the community’s awareness of safe water practices and the health implications of using contaminated water. Education plays a crucial role in water management and sanitation practices. Households with lower levels of education may be less informed about the importance of boiling or treating water to make it safe for consumption, thereby increasing the risk of waterborne diseases. Moreover, education often correlates with income levels; lower education can limit employment opportunities, perpetuating poverty and reducing access to quality water sources. On the other hand, the minority of respondents with post-secondary education may be better equipped to understand and advocate for improved water policies or technologies, although their small proportion limits the impact they can have on the broader community. This points to the need for targeted education programs and awareness campaigns on safe water use and sanitation, particularly in areas where educational attainment is low.
These socio-economic characteristics collectively indicate that water access and quality in the study area are deeply influenced by gender roles, income levels, educational attainment, and occupation. Low incomes, limited education, and the predominance of farming create a setting where water scarcity is more than just a logistical issue—it is a socio-economic challenge intertwined with other aspects of life, such as health, education, and economic productivity. The study highlights the multi-dimensional nature of water scarcity and suggests that any solution must consider these socio-economic variables. Improving water access in the study area requires a holistic approach, including investments in education, income-generating activities, and gender equality programs, alongside infrastructure development. Addressing these socio-economic disparities could alleviate the burden of water collection, improve water quality, and enhance overall well-being.
Summarily, each of these variables significantly impacts water access and quality in the area, suggesting that the socio-economic conditions of rural communities play a critical role in determining their water security. Policy interventions should aim at addressing these interconnected factors to ensure sustainable water access.
Furthermore, the study shows that most of the respondents (56%) are farmers who may equally account for their low incomes per month. About forty one percent (41%) of the respondents have no formal education. Only eighteen percent (18%) claimed to have a post-secondary school education. All these affect the quality of water supplied in the study area and also show the attributes of a typical rural area.
Table 6 shows that 44% of the respondents traveled less than one kilometer to fetch water, while 49% traveled between one and two kilometers. This indicates that the majority of the population has to walk some distance to access water, with only a minority potentially having access within their immediate vicinity. While some respondents are relatively close to water sources, the fact that nearly half have to walk between one and two kilometers suggests that water is not readily available. The distance people travel for water collection can have significant social and economic consequences. Time spent walking to fetch water could be used more productively in economic activities, education, or domestic chores. The longer distances also put physical strain on individuals, particularly women and children, who often bear the burden of water collection. In areas where people walk farther for water, there may be an increased risk of gender-based violence, exhaustion, or health issues related to carrying heavy water containers over long distances.
According to
Table 7, 66.4% of respondents reported that they do not have an adequate water supply. This aligns with the finding that many water sources, such as wells and streams, dry up during the dry season. Furthermore, 71% of respondents believe that the water quality is not fit for human consumption. The inadequacy of water supply, especially during the dry season, underscores the vulnerability of the community's water infrastructure. Seasonal changes dramatically impact the availability of water, and the reliance on natural sources like streams and wells makes the community highly susceptible to water shortages. Inadequate water supply has numerous consequences, from limiting household hygiene practices to hindering agricultural productivity. The fact that most people believe their water is not safe for consumption suggests high levels of contamination, which can lead to waterborne diseases. Addressing this issue requires improvements in water infrastructure, such as drilling boreholes, rainwater harvesting, or developing community-managed water systems. Safe and adequate water supply is a fundamental need, and its absence poses severe risks to public health and socio-economic development.
The study reveals that 28% of respondents have suffered from cholera, a severe waterborne disease typically caused by drinking contaminated water as indicated in
Table 8. Additionally, 29% reported suffering from malaria, which can be linked to the presence of stagnant water that serves as a breeding ground for mosquitoes. Another 20% suffered from other unspecified water-related diseases. Waterborne diseases, especially cholera, indicate the prevalence of contaminated water sources in the community. The fact that a significant proportion of the population has been affected by such diseases highlights the urgent need for intervention to improve water quality. This could involve providing better sanitation facilities, regular water treatment, and public health education to reduce the risk of contamination. The high incidence of malaria also points to environmental factors related to water, such as stagnant water bodies around homes, which are ideal breeding sites for mosquitoes. Comprehensive water management programs that also tackle vector control (e.g., mosquito reduction) are needed to mitigate these health risks. The impact of waterborne diseases on the community is severe, not only in terms of health but also in terms of lost productivity and increased healthcare costs.
The data shows (
Table 9) that 57% of respondents spend between one and two hours per day searching for water, while 19% spend less than thirty minutes. The remaining respondents spend varying amounts of time in between. This indicates that a significant portion of the population dedicates substantial time each day solely to water collection. The time spent searching for water has direct implications for productivity. Spending one to two hours daily in search of water reduces the time available for income-generating activities, education, childcare, or rest. The opportunity cost of time spent collecting water is particularly high for women, who are often the primary water collectors in rural settings. Reduced productivity not only affects household income but also stifles economic development at the community level. Long search times for water reflect inefficiencies in water distribution and access, suggesting the need for localized, sustainable water solutions. These could include constructing new wells, rehabilitating existing ones, or introducing community-managed water kiosks that reduce the travel time for water collection. Addressing this issue would significantly improve the quality of life for community members by freeing up time for more productive activities.
The prevalence of waterborne diseases like cholera and malaria highlights the immediate health risks associated with unsafe water. Poor water quality and inadequate supply are direct threats to public health, leading to increased medical costs, reduced life expectancy, and higher infant mortality rates. Disease outbreaks, such as cholera, can overwhelm healthcare systems, particularly in rural areas with limited access to medical facilities. Ensuring that water sources are protected from contamination and treated appropriately is essential to improving the health outcomes of the population.
The significant time spent searching for water underscores the inefficiency of the current water access system in the community. This inefficiency directly affects economic productivity, education, and overall well-being. If access to water could be improved, it would allow community members to redirect their time toward more economically beneficial or personally enriching activities. For example, children would have more time to attend school, and adults could spend more time on income-generating work or agriculture.
The drying up of wells and streams during the dry season highlights the vulnerability of the community's water supply to seasonal changes. A sustainable water management system needs to be put in place to ensure a year-round supply of water. This could involve developing more reliable water infrastructure, such as boreholes that tap into deeper aquifers, or introducing water conservation measures like rainwater harvesting systems. Additionally, community-based water governance systems that involve local stakeholders in the maintenance and management of water resources could enhance the sustainability of these solutions.
Table 5.
Sources of water supply in the study area.
Table 5.
Sources of water supply in the study area.
Sources of water |
COMMUNITIES |
Total |
Esa Oke |
Otan-Ile |
Idominasi |
Well |
82 |
78 |
38 |
198 |
Rain |
26 |
04 |
04 |
34 |
Stream |
40 |
10 |
18 |
68 |
Borehole |
08 |
08 |
- |
16 |
Tap water |
- |
|
- |
- |
Total |
156 |
100 |
60 |
316 |
Table 6.
Distance of source of water from residences.
Table 6.
Distance of source of water from residences.
Distance(kms) |
COMMUNITIES |
'Total |
Esa Oke |
Otan-Ile |
Idominasi |
<1km |
56 |
56 |
26 |
138 |
1-2km |
92 |
38 |
24 |
154-2 |
2 km and above |
08 |
06 |
10 |
24 |
Total |
156 |
100 |
60 |
316 |
Table 7.
Respondents assessment of water quality and quantity.
Table 7.
Respondents assessment of water quality and quantity.
Quality |
QUANTITY |
Total |
Inadequate |
Adequate |
Very good |
20 |
18 |
38 |
Good |
30 |
24 |
54 |
Fair |
95 |
46 |
141 |
Bad |
65 |
18 |
83 |
Total |
210 |
106 |
316 |
Table 8.
Water related diseases suffered in the study area.
Table 8.
Water related diseases suffered in the study area.
Disease |
COMMUNITIES |
Total |
% |
Esa Oke |
Otan-Ile |
Idominasi |
Cholera |
50 |
26 |
12 |
88 |
28 |
Typhoid |
08 |
4 |
- |
12 |
4 |
Dysentery |
20 |
2 |
8 |
30 |
9 |
Diarrhea |
14 |
10 |
06 |
30 |
9 |
Malaria |
36 |
40 |
16 |
92 |
29 |
Others |
28 |
18 |
18 |
64 |
20 |
Total |
156 |
100 |
60 |
316 |
100 |
Table 9.
Hours spent in search of water per day.
Table 9.
Hours spent in search of water per day.
Hour |
COMMUNITIES |
Total |
Esa Oke |
Otan-Ile |
Idominasi |
30 mins |
20 |
15 |
25 |
60 |
30-60 mins |
36 |
25 |
15 |
76 |
60-90 mins |
60 |
35 |
15 |
110 |
90-12 mins |
40 |
25 |
05 |
70 |
Total |
156 |
100 |
60 |
316 |
4.2. Microbiological Analyses of Water in the Study Area
The bacterial counts in various water sources provide valuable insights into the water quality and potential contamination risks associated with each source. Below is an analysis of the results for heterotrophic bacteria, total coliforms, and fecal coliforms, along with inferred implications for water safety and public health. The heterotrophic bacterial count was determined using the spread plate method on nutrient agar and the plates were incubated aerobically at 370C for 48 hours. The total coliforms and fecal coliforms were enumerated on MacConkey agar using the spread plate method and aerobically incubated at 370C and 44.50C respectively for 24 hours. Selected colonies were purified using the streaking method. Pure colonies were characterized and identified using morphological and biochemical methods as described by Buccanhan Gibbon, 1974.
Table 10 shows the mean population of heterotrophic bacteria, the total coliform count and the fecal coliform count. The heterotrophic bacterial count ranged between 3.4 x 10
3 to 1.8 x 10
5 for stream water, this broad range suggests a variable degree of organic matter and nutrient availability in stream water, which can support a diverse microbial community. The higher end of the count indicates potential pollution, possibly from agricultural runoff, wastewater discharge, or other anthropogenic activities.
for pond water, the pond water exhibits the highest levels of heterotrophic bacteria, indicating an enriched environment likely due to stagnant water conditions that promote bacterial growth. Factors such as organic debris accumulation or nutrient runoff from surrounding land can contribute to these elevated counts.
for well water, the considerably lower counts suggest that well water is relatively cleaner, likely due to the filtration processes that occur naturally through soil and rock layers. However, even these low levels indicate potential contamination, especially if the upper range is approached. While for rain water, rainwater is expected to be the cleanest, and the low counts reflect minimal bacterial presence. Nonetheless, post-collection contamination from storage containers or exposure to atmospheric pollutants could contribute to detectable levels. The total coliform count ranged between for stream water,3.5 3.7x103 for pond water, 1.7 x 101 to 2.6 x 102 for well water and 1.2 102 for rain water. Similarly, faecal coliform count ranged from for stream water, 3.2 x 101 to 3.5 x 102 for pond water, water and for rain water.
Higher counts of heterotrophic bacteria in stream and pond waters indicate potential pollution and risk to public health. Regular monitoring is essential, particularly for recreational and agricultural use of these water sources. The relatively lower counts in well and rainwater suggest they could be safer alternatives, although testing for specific pathogens should be performed. The high total coliform counts indicate significant contamination, possibly from fecal sources. The potential presence of pathogens raises concerns regarding water safety for human consumption and recreational activities. Similar to stream water, the elevated counts suggest a substantial level of organic pollution, likely exacerbated by stagnant water conditions that foster microbial growth. While lower than surface waters, these counts may indicate contamination from nearby sources or improper well construction, underscoring the need for regular testing. The low presence of total coliforms indicates relatively clean conditions, but post-collection contamination remains a concern.
Thus, The presence of total coliforms, particularly in stream and pond waters, signals significant water quality issues. It underscores the importance of treating surface water before use, as these bacteria can indicate the potential presence of harmful pathogens.
Fecal coliforms are a specific subset of total coliforms and are used to indicate fecal contamination The elevated fecal coliform counts reinforce the conclusion that stream water is likely contaminated by fecal matter, presenting a risk for waterborne diseases. Similar concerns apply here as with stream water, indicating a significant risk of contamination from wildlife or human sources. The presence of fecal coliforms in well water, albeit at lower counts, raises concern about potential sources of contamination from surface runoff or septic systems. The very low levels indicate rainwater is relatively safe but still suggests monitoring, particularly concerning contamination from collection practices. The high levels of fecal coliforms in stream and pond waters are indicative of serious contamination issues, which could pose health risks, particularly to vulnerable populations. Well and rainwater, while comparatively lower, still require regular testing to ensure safety, especially for drinking and agricultural use.
Summarily, the results from the bacterial counts across different water sources indicate varying degrees of contamination, with stream and pond waters showing the highest risks. This data underscores the importance of continuous monitoring and management of water quality to protect public health. Water treatment, better waste management practices, and educating the public about safe water usage are essential to mitigate contamination risks.
A total of six bacterial species: Escherichia coli, Bacillus subtilis, Pseudomonas aeruginosa, Salmonella sp, Enterobacter aerogenes and Shigella sp were isolated. Their distribution among the various sources is shown in
Table 11. Escherichia coli was found in all the stream water samples, some pond water samples and only one well water sample, Shigella species was found in all the pond water samples and in some stream water samples while Salmonella sp, Enterobactia aerogenes and Shigella sp were not isolated from the well water and rainwater samples.
The counts obtained for the heterotrophic bacteria, the total coliform as well as the fecal coliform exceeded the maximum permitted levels for no risk according to Nigerian Standard for Drinking Water (NIS 554: 2007). The maximum permitted level of 10cfu/ml is allowed for total coliform count while the maximum allowable limit for fecal coliform is 0 cfu/100ml. The high number of indicators detected revealed that the microbiological quality of the water sources used was unsafe, poor and not acceptable for human consumption (Obi et al, 2002). The presence of potential pathogenic enteric bacteria such as E. coli, Pseudomonas aeruginosa, Salmonella sp. and Shigella sp. portends serious health dangers as these enteric bacteria are reportedly causative agents of various diseases and their complications. the hemolytic uraemic syndrome caused by E. coli and dysentery caused mainly by water from the different water sources by rural residents in the Obokun Local Government area of Osun State in Nigeria must not be underestimated.
Human and animal feces or the introduction of microorganisms by birds and insects fetching water which are often placed on the ground (Olowe et al., 2005) and the poor study. This study as well as similar studies on the quality of potable water in rural 2001 and Obi et al., 2002) showed the challenges for health and water resources in developing countries.