particularly when governments lack the capacity
or will to collect the data or when their estimates
are unreliable.
Different sources gather different data for
different purposes, with different methodologies
and for different objectives. These include operational planning, which is influenced by considerations of timely funding. Divergent objectives
often affect the way in which data gatherers
estimate target populations or beneficiaries.
We are aware that some sources may also have an
interest in manipulating or tweaking the number
of IDPs. They may choose to do so in order to
call international attention to a crisis, maximise
the amount of external assistance received or
downplay the scale of a conflict or disaster if the
government is held accountable.
In order to mitigate this potential bias, whenever
possible we triangulate the data by using several
sources and prioritising those we have historically
deemed to have been most objective. Particularly
for displacement associated with disasters, we
monitor the different stages of the humanitarian
response cycle, from the emergency to the reconstruction and recovery phase, by identifying the
different organisations and indicators that report
on displacement over the time.
Language bias also affects our ability to source
displacement data comprehensively. We can only
obtain and analyse information in the languages
we speak and read. Our staff and partners speak
most of the required languages, but we inevitably
fail to capture some information, particularly for
parts of Asia.
Disaggregated data
We seek to obtain not only quantitative data
from our sources on possible increases and
decreases in the number of IDPs, but also more
specific information such as data disaggregated
by sex and age (SADD). This is vital in guiding
an appropriate and effective response to IDPs’
protection and assistance needs.
Relatively little SADD is available for displacement
associated with either conflict or disasters. This is
mainly because information on IDPs’ sex, age and
disabilities tends only to be captured in organised
settings such as relief camps, while in many cases
a significant majority of IDPs live in dispersed
settings among host families and communities.
We also aim to gather and report disaggregated
information by geographical area and time period
in order to paint the most comprehensive and
dynamic picture of displacement possible and
provide a sound basis for more complex research
and analysis.
Even when disaggregated data is available,
however, it tends not to represent a statistically
significant portion of the overall data collected.
More is vital if we are to accurately inform the
identification of, and respond to the specific
needs of different groups of IDPs.
Methodological challenges
particular to displacement
associated with conflict
We gather data from primary and secondary
sources on the number of people displaced
by international and non-international armed
conflict and other situations of violence. We aim
to include all people forcibly displaced in such
contexts.
Sources tend to be numerous during humanitarian crises and visible emergencies, when they
compile information to target assistance, as in
Syria. During protracted and neglected crises,
displacement data tends to be unavailable or outof-date, as in Armenia, Cyprus, Georgia, Togo
and Turkey.
Sources often do not use the same definition of
an IDP as the Guiding Principles. Nor do they use
the same methodologies, which creates a serious
challenge when compiling our estimates. In
several countries, including Afghanistan, Bosnia
and Herzegovina, DRC, Georgia, Pakistan and
Ukraine, only IDPs who have been officially registered with the authorities are counted.
In some countries only one data source is available, while in others there may be several. For
each country listed in the 2017 GRID dataset,
we systematically looked for several sources.
We always strive to identify new data sources,
even for countries and situations where others
already exist. This enables us to crosscheck, but it
may also create confusion because sources rarely
explain their methodologies.
When different sources are available, or when
a new source provides information, we may
still decide to base our estimate on only one
METHODOLOGICAL ANNEX
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