Job-tied accommodation in the UK rental market: a national portrait

Purpose This paper aims to profile job-tied accommodation in the UK rental market: prevalence, payment terms, location and occupants. Design/methodology/approach This study uses the Annual Population Survey 2024 household data set: 18,001 renting employees in private households, weighted to UK totals. Estimates are occupant-level; the tied item refers to any household member’s job. Findings Tied accommodation houses 4.3% of UK renting employees (about 369,000); four-fifths pay rent. Prevalence peaks in agriculture, among large sectors in public administration and in southern regions outside London. Some 51% of occupants work in managerial, professional or associate-professional roles (39% of others), largely reflecting sector composition. Occupants hold degrees more often (44% versus 37%), are more often partnered and longer-tenured and show no detectable raw pay penalty. Conditional cash pay is 3.5% lower (interval includes zero), and 9% lower in sole-employed households (model-based). There the occupational contrast holds, a commute gap emerges and the degree gap disappears. Research limitations/implications Estimates are cross-sectional and non-causal and exclude communal employer housing. Practical implications In the private-household rental market, employer-linked housing has a disproportionately professional occupant profile and overlaps with key-worker housing. Originality/value Minimum-wage research has counted this category; to the best of the authors’ knowledge, this paper is the first to profile its occupants, market position and landlord structure.

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Publication Details

Journal
International Journal of Housing Markets and Analysis
Published
2026-11-05
DOI
https://doi.org/10.1108/ijhma-08-2026-0291
Primary Topic
Housing Market and Economics
Type
article
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article

Job-tied accommodation in the UK rental market: a national portrait

Mohamed Ali
International Journal of Housing Markets and Analysis
Housing Market and Economics
article

Job-tied accommodation in the UK rental market: a national portrait

Mohamed Ali
article en

Abstract

Purpose This paper aims to profile job-tied accommodation in the UK rental market: prevalence, payment terms, location and occupants. Design/methodology/approach This study uses the Annual Population Survey 2024 household data set: 18,001 renting employees in private households, weighted to UK totals. Estimates are occupant-level; the tied item refers to any household member’s job. Findings Tied accommodation houses 4.3% of UK renting employees (about 369,000); four-fifths pay rent. Prevalence peaks in agriculture, among large sectors in public administration and in southern regions outside London. Some 51% of occupants work in managerial, professional or associate-professional roles (39% of others), largely reflecting sector composition. Occupants hold degrees more often (44% versus 37%), are more often partnered and longer-tenured and show no detectable raw pay penalty. Conditional cash pay is 3.5% lower (interval includes zero), and 9% lower in sole-employed households (model-based). There the occupational contrast holds, a commute gap emerges and the degree gap disappears. Research limitations/implications Estimates are cross-sectional and non-causal and exclude communal employer housing. Practical implications In the private-household rental market, employer-linked housing has a disproportionately professional occupant profile and overlaps with key-worker housing. Originality/value Minimum-wage research has counted this category; to the best of the authors’ knowledge, this paper is the first to profile its occupants, market position and landlord structure.

International Journal of Housing Markets and AnalysisVol. 19(7)
Libera Università Internazionale degli Studi Sociali Guido Carli (IT)
Openalex Percentile: Top 10%
Housing Market and Economics
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Job-tied accommodation in the UK rental market: a national portrait — Mohamed Ali · International Journal of Housing Markets and Analysis (2026) | TGRS Research Map | TGRS