MM are a government approved DDRI licence holder and proprietary data owner, receiving all registered UK deaths on a weekly basis. The month of death, age at time of death and inferred gender can be aggregated by postcode or output area which are more granular than what are made available by the office of National Statistics (ONS). This means that MM can provide actuaries with more flexible, detailed and timely mortality statistics, with the ability to append different variables representing population experience and help improve longevity models

MM has delved into the intricate relationship between average age at death and the Index of Multiple Deprivation (IMD) in England. The IMD, a comprehensive measure of relative deprivation, assesses 39 indicators across seven distinct domains, providing a nuanced understanding of socio-economic conditions at the Lower-layer Super Output Area (LSOA) level.  

Our study seeks to unravel the impact of deprivation on life expectancy as a surrogate for experience data internally available to actuaries when building longevity models.   
Deprivation in England is gauged at the LSOA level, the second smallest geographical area in the UK (Output area being the smallest). Each LSOA, housing between 400 and 1,200 households and a resident population of 1,000 to 3,000 individuals, receives a score based on a combination of indicators. These scores are then ranked and divided into deciles, ranging from 1 (most deprived) to 10 (least deprived). 

Our research reveals a striking correlation between deprivation and life expectancy, underscoring the profound impact of socio-economic conditions on the longevity of individuals. The table below summarizes mortality rates for men, women, and overall populations across the ten deciles: 

This table demonstrates the overall deprivation decile, however MM can be segmented by other available deciles including Income, Employment, health, skills, housing environment and more. The same applies to other available datasets such as Urbanicity code, Council Tax, Health or Income data or third party datasets such as Experian Mosaic.

The data demonstrates that the overall age at death in the 1st decile (most deprived) is 74, meaning 7 years less than their counterparts in the top decile. The disparity is even more pronounced for men, with an 8-year difference (71-79) between the 1st and 10th deciles, compared to a 6-year range (77-83) for women. 

In conclusion, our research underscores the profound impact of deprivation on age at death, which shows the importance of experience data, assessed with appropriate estimates of the prevalence of this experience in the general population outside the schemes member data. 

The disparity in longevity based on the level of deprivation in the geographical area, is a stark reminder of the complex interplay between socio-economic factors and health outcomes. In future additions to our research, we will delve into the seven distinct domains used to calculate the IMD scores, providing a greater understanding of the factors contributing to these disparities.  

MM provides month of death, age and gender aggregated at a geographical level and is easy to implement into existing mortality models. When used alongside scheme experience data this will increase the accuracy and reliability of longevity models and pricing calculations. 

As is well understood longevity models require both infomation about deaths and also the exposed populations to properly estimate life expectancy. MM. also provide these alongside the deceased estimates.

Stay tuned as we unravel the intricate web of deprivation and its implications on health and well-being.