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record the nationality and/or ethnicity of the persons stopped. In the course of the
project, evidence was found that the production of such data can reduce ethnic
profiling and enhance efficiency at the same time. 16
77. The Special Rapporteur would like to emphasize that in order to complement
data generated by the use of stop forms, other data sources should be used,
including information gathered by civil society actors through event -based surveys
documenting occurrences of racial profiling and racially motivated crimes.
B.
Data and the post-2015 development agenda
78. As the world is preparing to adopt a new development agenda, the question of
how it has fared in implementing non-discrimination and equality measures through
the Millennium Development Goals further draws attention to the need to develop
adequate indicators to assess the realization of the objective of “leaving no one
behind”.
79. Development indicators, such as the human development index, have
demonstrated that essentially focusing on national aggregates has not enabled
inequalities to be captured and has further contributed to making the most
disadvantaged components of society more invisible. A World Bank study shows that
about half of the 155 developing countries surveyed lack adequate data to monitor
poverty and, as a result, the poorest people in those countries have often remained
undetected by the existing data. 17 The same can be said at the international level, as
the performance indicators developed to assess the outcome of development policies
have fallen short of properly assessing the human rights aspect of development.
However, the Special Rapporteur would like to acknowledge the shift in 2006 to
adopting a human rights-based approach to development in the programming of the
United Nations Development Programme. That approach has sought to integrate the
cross-cutting human rights norms, including non-discrimination and equality, in
the monitoring and assessment of development policy outcomes and the
implementation of development programmes.
80. The Millennium Development Goals Report 2015, while emphasizing that
significant progress has been made in reducing extreme poverty by half, als o
stresses that this progress has been uneven. Millions of people are being left behind,
especially the poorest and those disadvantaged because of their sex, age, disability,
ethnicity or geographic location. The report identifies the lack of timely data a nd the
unavailability of disaggregated data as a major challenge, which has often led to the
implementation of inefficient decision-making and planning because they are based
on outdated or inaccurate data.
81. Eradicating poverty and hunger remains at the core of the post-2015
development agenda and because access to basic services, such as education, health
care or clean water, is frequently determined by socioeconomic status, gender,
ethnicity or geography, there has been a strong call, including from ci vil society, for
developing indicators that would enable the collection of more disaggregated
statistics. They would capture the situation of the most vulnerable and marginalized
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17
15-14106
See Umar Serajuddin and others, “Data deprivation: another deprivation to end”, Policy Research
Working Paper No. 7252 (Washington, D.C., World Bank, 2015).
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