South West · Baseline population 130,428
Official ONS figures for the region Exeter sits in, published June to August 2026. These are measured statistics, separate from the structural exposure score above — they are reported here as context and are not an input to it. Region-level data is the finest geography ONS publishes monthly; it is not a Exeter-only figure.
UK average for the same period: unemployment 4.7%, employment 75.3%, inactivity 20.9%. South West ranks 10 of 12 UK regions and countries by unemployment rate.
97,965 people in South West were claiming unemployment-related benefits in September 2026, 3.3% of economically active residents, up 3,815 on September 2025. Among 16–24 year olds the count was 20,285, up 2,240 on the year. Not seasonally adjusted; this is an administrative count, not a survey estimate.
2,506,727 people were on a payroll in South West in September 2026, down 3,907 (0.16%) on the year, against 0.22% down across the UK as a whole. This is an administrative count of actual payroll records, not a survey estimate. The most recent month is a provisional flash estimate and is routinely revised.
The two UK-wide measures of employees disagree. On ONS's own like-for-like
comparison, HMRC payroll (RTI) records show payrolled employees
down 92,000 over the
year and down
37,000 over the quarter in
June to August 2026. Over the same period the Labour Force Survey shows employees
up 314,000 to
29.9 million. The provisional September
flash estimate puts payrolled employees at
30.3 million, down
66,000 on the year.
ONS attributes part of the LFS employee increase to improvements in the survey since January 2024, which have obtained more responses from employed people. Levels have therefore moved closer to RTI, but ONS cautions that LFS measures of change 'may be less aligned with RTI because they capture both real labour market shifts and changes arising from the survey improvements'. The divergence is concentrated in the 25 to 34 year old age group, which ONS is still investigating.
ONS's view remains that RTI 'currently provides the most reliable measure of employees'. As of the October 2026 release this statement appears in the LFS quality update rather than in the labour market overview bulletin itself.
We surface both rather than quietly picking one.
The August 2026 flash estimate reported a fall of 145,000 on the year; the confirmed figure is 111,000. Flash estimates are provisional and are routinely revised when more data arrive, so the September flash of -66,000 should be read as the least settled number here.
ONS research linking RTI
to the LFS, published 28 September 2026:
Linked HMRC PAYE data showed a stronger recovery in employment after the pandemic and a smaller, less prolonged rise in economic inactivity than the published LFS estimates alone suggested. It also suggested the LFS recovery during 2024 and 2025 may have reduced non-response bias, since using the linked payroll data made only a small difference to the level of employment and inactivity estimates in 2025. ONS describes the work as exploratory and is continuing the analysis.
The survey side is UK-wide; ONS publishes no regional split of this comparison. The payroll side is parsed from the ONS reference table (rtisaoct2026.xlsx). Source: ONS Labour market overview, UK: October 2026, released 20 October 2026. Next release 17 November 2026.
Sources. ONS Labour market overview, UK (time series API); ONS Labour market in the regions of the UK (Table 2, annual changes); ONS Annual Population Survey, via NOMIS (variables, percentages); Claimant count by sex and age (Universal Credit + JSA), ONS/DWP via NOMIS; Earnings and employment from PAYE Real Time Information, seasonally adjusted (Table 7, payrolled employees by NUTS1 region). Retrieved 2026-10-22. LFS and APS outputs moved from “official statistics in development” to “official statistics” on 11 August 2026 and ONS is not seeking reaccreditation; survey-based detail should be read with that in mind. Contains public sector information licensed under the Open Government Licence v3.0.
Reported UK redundancy events from the CopeCheck Layoffs tracker. These are UK-wide, not Exeter events — the tracker records the country a layoff was reported in, not the town or city, so nothing here is attributed to Exeter.
| Reported | Company | Roles | Sector | Source |
|---|---|---|---|---|
| 2026-08 | University of Essex | 400 | Education | www.bbc.co.uk |
| 2026-08 | Nothing | 100 | Technology | Google Alerts RSS |
| 2026-08 | Travelport | 57 | Technology | Google Alerts RSS |
| 2026-08 | TSB | 130 | Banking | bmmagazine.co.uk |
| 2026-08 | Diageo | 38 | Food & Beverage | drinks-intel.com |
| 2026-08 | WPP | 1,267 | Advertising | gbnews.com |
| 2026-08 | Supermassive Games | 75 | Technology | Google Alerts RSS |
| 2026-08 | RNLI | 75 | Charity/Non-profit | Google Alerts RSS |
74 UK events recorded for 2026, of which 11 are attributed by their source at least partly to AI or automation. Counts are individual reported events, not a national total. The upstream tracker withholds aggregates because source claims may be syndicated, aggregate, planned, aliased or overlapping. These are UK-wide and are not attributed to this city. Compiled from layoffs.fyi, TrueUp, Crunchbase, TechCrunch, and news reports. Snapshot taken 2026-10-22.
Model-generated scenario commentary, not reported fact. Specific claims about future employer or council behaviour are hypothetical; use the sector table, not the prose, as the reproducible input to the score.
Exeter's dominant health and education sectors — 13.8% and 12.2% respectively, together approaching 26% of all employment — place it firmly in the lower-risk tier of this dataset. Add the Met Office (one of the world's most advanced weather and climate modelling operations) and the university's research strength, and you've got a city with genuine knowledge-economy anchors that most comparably sized towns lack. Retail at 9.4% and admin at 8.4% create some vulnerability, and the Exeter economy is arguably too dependent on the public sector for a city of its size. But in a world where AI displaces routine cognitive and physical work, Exeter's concentration in sectors that require human judgement, presence, and specialist expertise is a meaningful structural advantage.
Exeter's biggest employers are a hospital, a university, and the Met Office — an institution that predicts the future using supercomputers, which is more than most cities' economic development teams can manage. AI can't do surgery, can't babysit freshers during Freshers' Week, and can't stand in front of a weather map on local television with the requisite gravity, so Devon's county town sleeps reasonably easy. The High Street is still functioning, partly because Exeter's catchment area includes half of Devon and you have to drive an hour to find an alternative. Princesshay is the pleasant shopping centre that proves you can build attractive retail space and still lose tenants to the internet. The Quay is scenic, the cathedral is magnificent, and the economic development ambition is approximately as high as the river is deep — which is to say, passable but not impressive. Exeter has the Met Office doing genuine frontier climate AI, a university doing genuine frontier bioscience, and a city economy that mostly revolves around schools, hospitals, and cream teas. The resilience is real. The ambition to be more than resilient is... detectable, if you squint.
The Met Office is a world-class AI and climate modelling operation sitting right in the city — build a data science and climate-tech cluster around it. Exeter's position as a climate and environmental science hub is a genuine competitive advantage that should be marketed internationally. The university's bioscience and medical research should be commercialised locally with dedicated incubation and spin-out support. The city should also develop its role as the service centre for the South West: legal, financial, and professional services that serve Devon and Cornwall from a base with better connectivity and talent access. Digital infrastructure investment in the rural hinterland could make Exeter a hub for distributed working across the region.
They'll commission a 'Climate Innovation Exeter' strategy, hold workshops at the university, produce a nice PDF, and continue being a pleasant county town that happens to host the Met Office. The Met Office will continue doing world-class work that has essentially nothing to do with the rest of Exeter's economy — the supercomputers don't buy lunch in the Guildhall. Someone will propose an 'Exeter Science Park Phase 3' that takes five years to approve and three years to build, by which time the technology it was designed for is obsolete. The university will produce excellent graduates who move to Bristol, London, or abroad. The hospital will keep hiring because Devon has an ageing population, which is less of an economic strategy and more of a demographic inevitability. Princesshay will get a new restaurant. The Quay will host a food festival. Exeter will remain in the comfortable lower half of every risk table and the comfortable lower half of every ambition table, which is fine — just don't pretend it's a choice rather than a default.
Historical employment share by broad sector, with CopeCheck's heuristic exposure weight and contribution to the relative score. Higher weights contribute more; they are not probabilities.
| Sector | Employment % | Exposure Weight | Exposure Tier | Contribution |
|---|---|---|---|---|
| Human Health & Social Work | 13.8% | 0.18 | low | 2.48 |
| Education | 12.2% | 0.15 | low | 1.83 |
| Retail | 9.4% | 0.8 | high | 7.52 |
| Administrative & Support Services | 8.4% | 0.85 | high | 7.14 |
| Public Administration & Defence | 7.8% | 0.22 | low | 1.72 |
| Accommodation & Food Services | 7.2% | 0.48 | medium | 3.46 |
| Professional, Scientific & Technical | 7.2% | 0.3 | low | 2.16 |
| Financial & Insurance Services | 6.8% | 0.75 | high | 5.1 |
| Construction | 4.8% | 0.28 | low | 1.34 |
| Information & Communication | 4.6% | 0.5 | medium | 2.3 |
| Manufacturing | 4.2% | 0.82 | high | 3.44 |
| Arts, Entertainment & Recreation | 4.0% | 0.2 | low | 0.8 |
| Transport & Storage | 3.8% | 0.78 | high | 2.96 |
| Wholesale | 3.6% | 0.55 | medium | 1.98 |
| Real Estate | 1.4% | 0.4 | medium | 0.56 |
| Agriculture, Forestry & Fishing | 0.8% | 0.25 | low | 0.2 |
The vulnerability score is a weighted average of Exeter's sector employment shares. Each broad sector carries a CopeCheck heuristic exposure weight (0.0–1.0). Frey & Osborne's study estimated occupation-level susceptibility; it did not publish these sector weights. The bundled city files also lack record-level source dates and ledgers, so this is a historical structural comparison rather than an official current statistic. The weighted average is normalised to a 0–100 scale. A score of 57.5 means Exeter's workforce is moderately concentrated in higher-weighted sectors compared with other United Kingdom cities in this dataset; it does not state a 57.5% probability of displacement.