This is also true of aggregate data: we can’t produce a comprehensive UK data set representing a fixed point in time – model the Scottish results backwards, to produce estimates of the equivalent counts in 2021, or model forward the results in the rest of the UK to produce 2022 estimates.
Of course, this is quite possible – producing mid-year population estimates is part of statistical agencies’ normal work. The difference here is that we are looking at larger volumes of data with a singapore rcs data wide variety of attributes, and furthermore that we would be modelling (whether forward or back) through a very volatile period. Here, we can return to the idea of commuting and migration flows – these were very strongly affected by the volatility of 2020-2022, and thus making estimates is difficult.
As with origin-destination data, unusual effects can occur in the aggregate data observations that are used as denominators in calculating flow rates. Someone who moved from England to Scotland between April 2021 and March 2022 would be recorded in both the 2021 Census in England and Wales, and the 2022 Census in Scotland. Their counterpart moving the opposite way would be recorded in neither.