Key to statistics symbols
Q : Quartile : Mean of population distribution
Rr L OF STATISTICIANS
* There was no quarrel. For the purpose of this article, ‘quarrel’ is the collective noun used to describe statisticians.
: Distribution R2 : Co-efficient of determination R : Radius : Summation L : Linear
*
With such basic gaps in data, what chance does the global community have when it comes to measuring progress on the United Nations (UN) Sustainable Development Goals (SDGs) that comprise 242 different ‘indicators’ to track progress on 169 targets and 17 Global Goals? Working with statistics across – and even within – countries can be a messy business. Add to this the explosion of new data and the challenges of financing national statistical systems (especially in low-capacity countries), and it’s not difficult to imagine how the world’s statistical and data framework is perhaps not as well-oiled and interoperable as many might like. The uncomfortable truth is that there are enormous SDG-related data gaps to be overcome. More than 44 percent of countries worldwide do not have comprehensive birth and death registration data, for example. Equally disconcerting is that 77 developing countries do not have poverty data. These are just two glaring gaps highlighted by the OECD’s 2017 Data for Development report.
Such gaps in data are one of the reasons that chief statisticians from more than 120 countries gathered in New York City recently for the United Nations Statistical Commission’s (UNSC) 50th Session – the highest body of the global statistical system. The session was held in the New York City United Nations headquarters – a sprawling complex located in Manhattan, overlooking the East River.
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