Awareness of water pollution as a problem and the decision to treat drinking water among rural African households with unclean drinking water: South Africa 2005

Factors related to household perception of water pollution as a problem, treatment of drinking water and choice of chemical treatment are examined for rural African households in South Africa in 2005 that use an unclean drinking water source. Only 19% of these households ever treat their drinking water. The less clean the water and the more distant the water source, the more likely the household is to perceive water pollution as a problem; education of household members does not matter. Households with less clean water, more educated household members, and that perceive water pollution as a problem are more likely to treat their water. Boiling and chemicals are the most common treatment methods. These are not good choices. Households on average spend 8 hours a week fetching water and 6 hours a week fetching wood or dung. Boiling decreases water volume and requires fuel. Chemicals cost money that many households can ill afford. Households with less clean water, with more educated members, with higher overall expenditures and with a more distant water source are more likely to chemically treat their water than to use another treatment option. Provision of free or subsidized treatment chemicals would likely lead to a much higher percent of households treating their drinking water.

Authors

Publication Details

Journal
Human Science Research Council SA
Published
2026-07-01
DOI
https://doi.org/10.14749/32852726
Primary Topic
Child Nutrition and Water Access
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Awareness of water pollution as a problem and the decision to treat drinking water among rural African households with unclean drinking water: South Africa 2005

Human Sciences Research Council
Human Science Research Council SA
Child Nutrition and Water Access
article

Awareness of water pollution as a problem and the decision to treat drinking water among rural African households with unclean drinking water: South Africa 2005

Human Sciences Research Council
article en

Abstract

Factors related to household perception of water pollution as a problem, treatment of drinking water and choice of chemical treatment are examined for rural African households in South Africa in 2005 that use an unclean drinking water source. Only 19% of these households ever treat their drinking water. The less clean the water and the more distant the water source, the more likely the household is to perceive water pollution as a problem; education of household members does not matter. Households with less clean water, more educated household members, and that perceive water pollution as a problem are more likely to treat their water. Boiling and chemicals are the most common treatment methods. These are not good choices. Households on average spend 8 hours a week fetching water and 6 hours a week fetching wood or dung. Boiling decreases water volume and requires fuel. Chemicals cost money that many households can ill afford. Households with less clean water, with more educated members, with higher overall expenditures and with a more distant water source are more likely to chemically treat their water than to use another treatment option. Provision of free or subsidized treatment chemicals would likely lead to a much higher percent of households treating their drinking water.

Human Science Research Council SA
Clean water and sanitation
Openalex Percentile: Top 9%
Child Nutrition and Water Access
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.