MajiData is an initiative of the
Kenyan Water Sector. The mandate to prepare MajiData was given to the
Water Services Trust Fund (WSTF) by its parent ministry; the Ministry
of Water and Irrigation (MWI).
MajiData received technical advice and
support from the Kenya National Bureau of Statistics (KNBS) and the
Regional Centre for Mapping of Resources for Development.
MajiData would not have been
implemented and completed without the active technical support
provided by GIZ, UN-Habitat, Google.org, ITC Faculty of
Geo-Information Science and Earth Observation (University of Twente)
and Upande (all part of the H2.0 initiative;
MajiData was funded by UN-Habitat, the
German Development Bank (KfW), Google.org, GIZ and the WSTF.
Office space was provided by the
Ministry of Water and Irrigation.
The H2.0 Initiative;
“Monitoring Services to Inform and Empower”
programme is proud to be part of the H2.0 initiative, which was
initiated by UN-Habitat and Google.org. The H2.0 Initiative aims to
empower stakeholders -and residents in particular -by making relevant
data accessible to all.
organisations are currently part of the H2.0 consortium:
Google.org, UN-Habitat, GIZ, the
University of Twente and WaterAid.
Once the H2.0 platform is ready,
MajiData will migrate and become accessible through the H2.0 portal.
History of MajiData
During the 2007 Annual Water Sector
Conference (held in November), the need to carry out a pro-poor
mapping exercise in order to collect data on the urban low-income
areas was identified as being one of the priority water sector
undertakings for 2008.
Soon after the conference the Ministry
of Water and Irrigation requested the WSTF to develop a pro-poor
urban database covering all urban low income areas in Kenya.
In October 2008 the data collection
tools and other measures to prepare for a country-wide data
collection exercise were finalised.
The creation of the initial MajiData
team and the testing of the data collection tools were completed in
Early 2009, MajiData became part of the
The data collection exercise started in
February 2009. The exercise was completed in March 2011.
officially launched in August 2011.
Need for Data on
Urban Low Income Areas
The Ministry of Water and Irrigation,
the WSTF and the organisations that supported and funded MajiData
(KfW, GIZ, UN-Habitat, Google.org) believe that a pro-poor urban
database is necessary:
To inform and empower the
residents of underserved low income areas. Having access to detailed
data on their area and being able to compare their area with other
low income areas can assist residents to approach their service
provider and demand for improved services.
In order to enable the Water
Service Providers (WSPs) to prepare realistic water supply and
sanitation (WSS) project proposals for specific low-income areas.
To allow the Water Services Trust
Fund (WSTF) to evaluate and prioritize pro-poor project proposals
according to a set of criteria (number of people served, per capita
investment cost, current water supply situation, etc.).
To evaluate a specific WSTF-funded
project and to assess if the project offers value for money.
To enable the Kenyan Water Sector
to assess the current WSS situation and the impact of the
WSTF-funded and other projects and their contribution to the
attainment of the Millennium Development Goals (MDGs) and the
objectives specified in the Vision 2030 document.
The above-mentioned objectives and the
data needs expressed by the various sector stakeholders (see next
section) during the “stakeholder assessment” have guided the
development of the overall approach as well as of the data collection
methods, techniques and tools.
Focus of MajiData
MajiData has a low
income area and a Water Sector focus. Although the database contains
administrative data such as the name of the Sub-Location, the lowest
data presentation unit used by the Kenya National Bureau of
Statistics (KNBS), the database contains data on urban low income
areas and does, therefore, not necessarily consider administrative
Low income areas are
identified on the basis of a set of area typologies and definitions.
It’s important to emphasise that the database contains data on
unplanned urban settlements (e.g. urban slums, IDP camps) as well as
on planned low income areas. The current water supply and sanitation
situation was not used as a low income area identification criterion
as it was assumed that most low income urban areas are not served or
Anticipated Users of
The MajiData Database has been designed
to serve the data needs and requirements of the following WSS Sector
The residents of the urban low
The Ministry of Water and
The Water Services Trust Fund.
The Water Services Boards.
The Water Service Providers.
The Water Services Regulatory
The Ministry of Public Health and
The Water and Sanitation Programme
(WSP) of the World Bank.
(NGOs) active in the water sector.
In addition to these sector
stakeholders, MajiData will be of interest to other organisations