Impact of Information on Domestic water saving among urban households in Tanzania

Last registered on December 07, 2022


Trial Information

General Information

Impact of Information on Domestic water saving among urban households in Tanzania
Initial registration date
October 27, 2022

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
October 31, 2022, 3:56 PM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Last updated
December 07, 2022, 6:52 AM EST

Last updated is the most recent time when changes to the trial's registration were published.


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Primary Investigator


Other Primary Investigator(s)

PI Affiliation
PI Affiliation

Additional Trial Information

In development
Start date
End date
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Many parts of the world have been experiencing poor quality water, which has not been sufficient, especially at the domestic level where water usage keeps on increasing over time. It is expected that the demand for water will be greater than the supply by 40% as a result of a fast-growing population and poor water management. Tanzania is among the developing countries that have been facing water scarcity for households living in urban areas and for those that have access to it, its availability is unreliable, irregular, and highly erratic, and as a result, households do not consider water from authorities as the main source. This scarcity of water and its unreliability calls for the need to conserve water as an important natural resource. Therefore, this study proposes to use randomized control trials to investigate whether the provision of information on water usage can influence urban domestic households water saving behavior. This study will disseminate knowledge to local authorities and the public about the importance of being accountable in the use and management of water resources in line with the Tanzania’s development vision of 2025 on effective utilization and management of natural resources. This will guide policy decisions that aim at promoting efficient use of water. The paper will use baseline data from the government water authority and survey data which will be collected in Dar es Salaam city, Tanzania. A sample size of 900 urban households will be surveyed while during an intervention, 1600 households will be used.

External Link(s)

Registration Citation

TIBANYWANA, JULIETH, EDWIN MUCHAPONDWA and ELIZABETH ROBINSON. 2022. "Impact of Information on Domestic water saving among urban households in Tanzania." AEA RCT Registry. December 07.
Sponsors & Partners


Experimental Details


The experiment will involve sending monthly information to households for four months in short rain seasons when the temperature is high (November, December, January, and February) and in dry seasons (August, September, and October). Wards from Dar es Salaam will be randomly assigned into treatments and control groups. We will have two treatment and one control group. In the first treatment group, households will receive information regarding their own water consumption for that month in a comparison with the median average neighborhood water consumption in the ward that the household is living. In the second treatment, information will be given showing how they should save water like turning off taps while brushing teeth, soaping during the bath, and handwashing, inserting a water meter valve,
direct water into the storage tank/well before using, etc. The control group will only continue to receive their normal monthly water bills without extra information.
Intervention Start Date
Intervention End Date

Primary Outcomes

Primary Outcomes (end points)
The household average monthly water consumption.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
The household average monthly electricity consumption.
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The targeted population for the study is high water users who are connected with the water authority. A total of 256,661 households are connected to water excluding inactive and disconnected customers. We use the median value to obtain high water users. Any household that is above the median water consumption will be considered a high user. Households with bulk meters such as flats and institutional apartments are treated as outliers and hence are not part of the study. To avoid spillover effects, randomization will be done at the cluster level. For this case, wards will be used as clusters. In Dar es Salaam, we have more than 50 wards, hence a minimum number of clusters is guaranteed.
To check for the orthogonality assumption, balance tests will be used. The variables that will be considered for balance tests include average monthly household water consumption, average daily water consumption per person, collection value prior baseline survey and household size, age, education and household income, after the baseline survey
Experimental Design Details
Not available
Randomization Method
Randomization will be done using STATA software in the office by computer. We have a list of all households connected to piped water from government water authority named DAWASA( Dar es Salaam Water and Sewerage Authority). The lists has variables like name of the household head, contact information, geographical location, monthly water consumption in cubic meters, billing and collection value to mention few.
Randomization Unit
Unit of analysis is the Household.
Randomization will be done at cluster levels (wards).
Was the treatment clustered?

Experiment Characteristics

Sample size: planned number of clusters
The planned number of clusters is 80 wards in Dar es Salaam city.
Sample size: planned number of observations
The planned number of observations is 900 households. In addition, we expect to include some few households who will not be surveyed and this will make a total of 1600 households.
Sample size (or number of clusters) by treatment arms
We expect to have 40 wards as control group and 40 wards in treatment group.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
We used a sample proportion of 0.6 for sample 1 and 0.7 for sample 2. We assumed a significance level of 5% and statistical power of 80% to be able to detect the impact. Given the average cluster size of 12, coefficient of variation of cluster size of 0.9, and intra-cluster correlation of 0.01, the total number of clusters was calculated to be 37 per arm. The minimum detectable impact for our main outcome variable is expected to be around 2 to 5% reduction in water consumption.
Supporting Documents and Materials

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Institutional Review Boards (IRBs)

IRB Name
Faculty of Commerce, University of Cape Town, South Africa.
IRB Approval Date
IRB Approval Number
REC 2022/08/002
IRB Name
University of Dar es Salaam, Tanzania.
IRB Approval Date
IRB Approval Number