Livett Migration Model Data

Update: Cluster Mapping Analysis

Date: 12 April 2026

Today I completed the first full cluster-level mapping of the Livett dataset (Version 2). This involved aligning birth, marriage, and death registration districts to defined migration clusters.

What was done

• Mapped all districts to cluster groups using the ClusterMap
• Compared birth, marriage, and death distributions
• Identified dominant migration pathways

Key findings

• Strong movement from South East origins into London clusters
• Outer London acts as a transition zone
• Inner London districts show clear stabilisation

Interpretation

The data supports a staged migration model rather than direct relocation. Movement typically occurs in steps from rural districts into outer London, followed by consolidation in central districts.

Study Bulletin: Marriage and Death Analysis (1840–2000)

Working note for the migration clustering study

This bulletin summarises the current findings from the marriage and death datasets only. It does not yet include birth linkage or person-level reconstruction.

Dataset scope

The analysis uses:

• 931 marriages after removing Livett–Livett unions,
• 337 high-confidence male-Livett marriages
with unique non-Livett bride surnames,
• 437 female Livett marriages retained for dispersal analysis,
• 874 deaths included without duplicate filtering,
• and around 780 deaths with usable age data.

Marriage-based structure

Marriage data shows a clear geographic concentration rather than random spread. The strongest clusters are London South East, London East, the South East, and East Anglia.

The pattern is stepwise and clustered rather than direct. The data suggests a regional base in the South East and East Anglia, movement into outer London clusters, especially London South East, and then later presence in inner London districts.

Two different structures appear in the marriage data. Male Livett marriages show the clearest inward migration signal toward London. Female Livett marriages show a broader geography and reveal outward dispersal into other regions. These patterns operate at the same time and should not be collapsed into one model.

Death-based structure

All Livett deaths were included, regardless of duplication or uncertainty. At this stage, deaths are treated as evidence of family surname presence at the endpoint rather than proof of person-level continuity.

The strongest death clusters are London South East, East Anglia, London South West, the South East, and London East, with later visibility also in Herts/Essex and the Tri-Counties.

Death geography does not simply mirror marriage geography. Instead, it shows multiple endpoint zones rather than a single centre. London South East is the strongest endpoint zone, East Anglia remains very important, and London South West and outer regions become more visible later on.

Over time, the death pattern changes. In the earlier period the picture is broader and more regionally spread, with East Anglia especially prominent. By the twentieth century London South East becomes dominant. After 1950, London remains strong but outer and suburban clusters such as Herts/Essex and the Tri-Counties become more visible.

Age at death

Using deaths with both age at death and birth date present, the mean observed age at death is about 64 to 66 years. This is not full life expectancy, but it is still a useful comparative measure.

There is a strong geographic gradient. Inner London clusters tend to have lower average ages at death, outer London clusters sit in the middle, and regional or suburban clusters are higher. The difference between the lowest and highest clusters is roughly 15 to 25 years.

Lower average ages appear in London Central, London East, and London South East. Higher average ages appear in the Tri-Counties, East Anglia, the South West, and Herts/Essex.

The time trend is also clear. Earlier decades show lower averages, later decades show improvement, but the cluster gap remains visible throughout. London remains consistently lower than many regional clusters.

Combined interpretation

Taken together, the marriage and death data support a three-stage system: a regional base in the South East and East Anglia, a migration phase into outer London, and a later phase of stabilisation and dispersal.

London South East emerges as the strongest transition and settlement zone. However, it does not produce the highest observed ages at death. Later-life dispersal into clusters such as the Tri-Counties, Herts/Essex, and the South West is associated with higher average age at death.

The evidence therefore suggests not just migration into London, but migration into an urban environment followed by later redistribution into surrounding regions with different survival outcomes.

Key conclusions

• Migration is structured and cluster-based rather than random.
• London South East is the primary transition and stabilisation zone.
• East Anglia remains a major secondary region throughout the dataset.
• Female Livett marriages reveal outward dispersal not visible in male-line analysis alone.
• Death data confirms multiple endpoint zones rather than a single centre.
• Age at death shows a strong geographic gradient, with London generally lower than regional clusters.
• Later-life dispersal into outer regions is associated with higher average lifespan.

Limitations

This stage still has important constraints. Early data is affected by registration bias, death data is not identity-clean by design, female lines are not being used for birth linkage, and some records remain incomplete. The age-at-death figures are observational averages rather than full reconstructed life expectancy.

Even with those limitations, the marriage and death datasets already show a coherent migration system in which Livett populations move from regional bases into London, concentrate in outer urban clusters, and later disperse into surrounding regions with measurable differences in age at death.