Who Stays, Who Relies: Skilled Worker Retention and Transitional Protection
Evidence analysis of what MAC administrative records show about Skilled Worker retention, and what they cannot justify for existing five-year settlement pathways.
Summary
Whether MAC administrative evidence on Skilled Worker retention can justify changing settlement conditions for people already progressing under an existing five-year settlement pathway.
The paper analyses the MAC report Who stays, who leaves?, especially valid immigration status, retention patterns, salary, sector, in-country switching and dependants, while noting that the report does not model transitional impact.
It finds that higher retention among lower-paid, health and care, and in-country switching cohorts indicates deeper labour-market embedding and reliance, not lower vulnerability to settlement change.
The implication is that MAC retention evidence is useful for prospective route design and workforce planning, but cannot substitute for transitional-impact assessment or justify mid-pathway alteration of existing settlement pathways.
Key Proposition
High retention is evidence of reliance, not evidence that transitional protection is unnecessary.
Key Observations
- The MAC report measures valid immigration status and retention outcomes, not transitional fairness, reliance interests or the legal effect of changing settlement conditions for people already in the route.
- The most policy-significant regression evidence concerns 2014-2019 Tier 2 entrants, so the paper cautions against treating it as a direct behavioural model for post-2020 Skilled Worker and Health and Care Worker cohorts.
- High retention is evidence of deeper reliance, not evidence of lower vulnerability; the paper uses retention among lower-paid, health and care, and in-country switching cohorts as evidence of labour-market embedding.
- The analysis links retention to administrative burden, licensing friction, public-sector job security and sectoral demand, showing why staying may reflect constrained dependence rather than simple preference.
- The policy significance is that retention data supports prospective calibration, salary policy and workforce planning, while existing cohorts still require cut-off dates, savings provisions or equivalent grandfathering.
Materials Considered
This section preserves the source materials referenced in this publication for cross-verification and archive continuity.
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M1
Migration Advisory Committee Migration Advisory Committee (2026) Who stays, who leaves? Evidence from administrative records on the Skilled Worker route. GOV.UK, published 12 May 2026. MAC administrative records report analysed in the paper.
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M2
SWJA Skilled Worker Justice Alliance (SWJA) (2026) Written Evidence 01: Transitional fairness and established Skilled Worker pathways (SWJACP01 / SCI0610). London: Skilled Worker Justice Alliance. Committee-published written evidence forming part of SWJA's prior transitional fairness analysis.
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M3
SWJA Skilled Worker Justice Alliance (SWJA) (2026) Framework Note 01: Structural Integrity and Transitional Consistency in the Skilled Worker Settlement Framework: Application to Existing Pathways (SWJACP02). London: Skilled Worker Justice Alliance. SWJA framework analysis on structural progression and transitional consistency.
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M4
SWJA Skilled Worker Justice Alliance (SWJA) (2026) Legislative Scrutiny Memorandum: CP1448 and the Public-Law Boundary of Settlement Reform: Ooi, HSMP Forum and Transitional Protection for Existing Skilled Worker Settlement Pathways (SWJACP04). London: Skilled Worker Justice Alliance. SWJA legislative scrutiny memorandum considered for public-law boundary and transitional protection.
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Access
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Suggested Citation
Skilled Worker Justice Alliance (SWJA) (2026).
Who Stays, Who Relies: Skilled Worker Retention and Transitional Protection.
SWJACP05. London: Skilled Worker Justice Alliance.
Available at: https://swja.uk/publications/who-stays-who-relies-skilled-worker-retention-transitional-protection/ (Accessed: [insert date accessed]).
Prepared by Zonglin Lyu
