This dataset provides the components of change involved in the calculation of the population projections for local authorities in Wales. Data cover the change between each successive projection year and relate to the change from the middle of each year to the middle of the following year. The first year's data represent the change from the base year of mid-2018 to mid-2019, through the projection period to show the change for mid-2042 to mid-2043. This is the fifth set of population projections published for the 22 local authorities in Wales. Note that the projections become increasingly uncertain the further we try to look into the future.

This dataset provides the components of change involved in the calculation of the population projections for local authorities in Wales. Data cover the change between each successive projection year and relate to the change from the middle of each year to the middle of the following year. The first year's data represent the change from the base year of mid-2014 to mid-2015, through the projection period to show the change for mid-2038 to mid-2039. This is the fourth set of population projections published for the 22 local authorities in Wales. Note that the projections become increasingly uncertain the further we try to look into the future. Also note that these figures differ from the Wales data in the national population projections produced by the Office for National Statistics because the key aim of the local authority population projections is to produce robust local authority population projections for Wales, which reflect local trends in recent years while the main purpose of the national projections is to produce robust population projections for Wales which reflect national trends in recent years. The national projections and the local authority projections are different for two main reasons: 1. The methodology used to produce assumptions in the local authority projections are different to those used in the national projections. Some of these are due to slightly different data sources. Also, although one set of assumptions may fit well for a national trend, using similar assumptions may not always produce feasible results for all local authority areas because of the different nature and trends between local authorities. 2. The geographical level for which the assumptions are based and applied is also important. For example, it is not appropriate to sum local rates (eg fertility) to derive a national rate, and therefore a model operating at different geographic levels (but using rates) will produce different results for the different geographic levels.