I will address the more important of these under the following heads: (i) Quality of data; (ii) Data revisions; (iii) Data interpretation; and (iv) Data gaps. Quality of data At the outset, I must say that India has a rich tradition of statistics.
Given the size, diversity and as yet low levels of literacy, this is a tribute to the diligence of our public statistical agencies. Surely, some of the basic statistics such as, for example, the poverty ratio are highly contentious. Both the methodology used for estimation of the poverty ratio and the quality of data used have frequently been called into question.