The UN recommendation in the book "UN NQAF Manual for Official Statistics (2019)" states that guaranteeing coherence and comparability is one of the characteristics of quality statistics.
A statistical agency must develop, produce and disseminate statistics that ensure their coherence. That is, statistical data that are related to each other must be consistent, must be able to be combined, and used simultaneously, including if the data comes from different sources.
In addition to coherence, statistical institutions must also ensure the comparability of the resulting statistics. Ensuring comparability is ensuring that the resulting statistics can be compared over time and across regions.
#Statmin provides an example of what coherence and comparability are.
For coherence, #SahabatData, can find a logical link between harvested area data and rice production. Meanwhile, poverty statistics that can be compared across time and between regions are examples of comparability.
So, what should statistical institutions do to ensure coherence and comparability?
Come on, let's check the #SahabatData infographic together.
#NQAF
#MovementLoveData
