Yorkshire and the Humber · Baseline population 310,542
Official ONS figures for the region Doncaster 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 Doncaster-only figure.
UK average for the same period: unemployment 4.7%, employment 75.3%, inactivity 20.9%. Yorkshire and the Humber ranks 3 of 12 UK regions and countries by unemployment rate.
145,635 people in Yorkshire and the Humber were claiming unemployment-related benefits in September 2026, 5.3% of economically active residents, up 4,060 on September 2025. Among 16–24 year olds the count was 33,835, up 3,330 on the year. Not seasonally adjusted; this is an administrative count, not a survey estimate.
2,398,254 people were on a payroll in Yorkshire and the Humber in September 2026, down 7,956 (0.33%) on the year, against 0.22% down across the UK as a whole — Yorkshire and the Humber is shedding payrolled jobs faster than the national average. 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 Doncaster events — the tracker records the country a layoff was reported in, not the town or city, so nothing here is attributed to Doncaster.
| 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.
Doncaster's pivot from coal to logistics was geographically rational — the town sits at the intersection of the A1(M), the East Coast Main Line, and the M18, making it a natural distribution hub. But distribution centres and retail parks are exactly the kind of routine-heavy sectors where AI displacement hits hardest. Retail at 11.6%, admin support at 10.9%, manufacturing at 10.4%, and transport at 9.8% create a vulnerability profile where the four biggest risk sectors are all in double digits. The iPort logistics park brought jobs, but they're overwhelmingly the kind of jobs that warehouse automation is designed to eliminate. The health and education sectors provide some buffer, but Doncaster's problem is that its growth strategy over the last twenty years has been to double down on exactly the sectors that are becoming automatable. Geographic advantage only matters when the work requires geography.
From coal to cardboard boxes. That's Doncaster's fifty-year economic journey, and it's about to discover that the cardboard box phase was a stopover, not a destination. The town replaced the pits with fulfilment centres, distribution sheds, and retail parks, called it 'regeneration,' and apparently nobody thought to ask what happens when robots stack pallets faster than people and algorithms route trucks better than dispatchers. iPort was celebrated as a game-changer — 6 million square feet of logistics space! — and it is a game-changer, in the sense that the game is now 'how few humans can you put in a warehouse and still call it employment.' Doncaster's town centre has been 'on the cusp of transformation' for so long that the cusp has its own planning permission. Primark anchors the Frenchgate Centre the way Nissan anchors Sunderland — desperately, and with diminishing confidence. The racecourse still works, because gambling on horses is apparently more future-proof than Doncaster's entire economic development strategy.
Doncaster needs to pivot from being a place where goods pass through to being a place where the systems managing those goods are developed and maintained. The rail connectivity — East Coast Main Line, iPort's rail freight terminal — is a genuine strategic asset that most towns would kill for. Position Doncaster as a hub for autonomous freight technology, last-mile delivery innovation, and logistics AI rather than just another node in someone else's supply chain. Partner directly with logistics firms on automation transition programmes — negotiate retraining commitments as part of planning approvals for new warehouse developments. The town centre needs a post-retail identity built around residential conversion, civic functions, and the kind of independent businesses that actually draw people in. Doncaster also has a genuine opportunity in rail engineering — the railway heritage is real, and modern rail systems need maintenance and AI integration skills that could be trained locally.
They'll commission a 'Doncaster 2040 Vision' document, complete with drone-shot renders of a gleaming town centre that bears no resemblance to the current Frenchgate Centre. Another retail park will be approved on the outskirts, further hollowing out the town centre while the council simultaneously bids for high street regeneration funding. iPort will add another automated warehouse that gets celebrated as 'investment' despite employing thirty people. A 'Doncaster Digital' initiative will launch, consisting of a webpage, a Twitter account, and a networking event at the racecourse attended by the same twenty people who go to every networking event. The train station will get a cosmetic upgrade that makes it nicer to pass through on your way to Leeds or London. Someone will propose an 'Innovation Quarter' in the old corn exchange, which will host a yoga studio and a gin bar. The actual logistics workers will find out about automation when their shift patterns change and their team sizes shrink, not from any council strategy document. In Doncaster, economic development is something that happens to other places while local leaders are busy writing bids.
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 |
|---|---|---|---|---|
| Retail | 11.6% | 0.8 | high | 9.28 |
| Administrative & Support Services | 10.9% | 0.85 | high | 9.27 |
| Manufacturing | 10.4% | 0.82 | high | 8.53 |
| Transport & Storage | 9.8% | 0.78 | high | 7.64 |
| Human Health & Social Work | 9.8% | 0.18 | low | 1.76 |
| Education | 8.6% | 0.15 | low | 1.29 |
| Wholesale | 6.2% | 0.55 | medium | 3.41 |
| Construction | 6.1% | 0.28 | low | 1.71 |
| Accommodation & Food Services | 5.4% | 0.48 | medium | 2.59 |
| Public Administration & Defence | 5.4% | 0.22 | low | 1.19 |
| Financial & Insurance Services | 4.8% | 0.75 | high | 3.6 |
| Professional, Scientific & Technical | 3.6% | 0.3 | low | 1.08 |
| Arts, Entertainment & Recreation | 3.0% | 0.2 | low | 0.6 |
| Information & Communication | 2.4% | 0.5 | medium | 1.2 |
| Agriculture, Forestry & Fishing | 1.2% | 0.25 | low | 0.3 |
| Real Estate | 0.8% | 0.4 | medium | 0.32 |
The vulnerability score is a weighted average of Doncaster'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 79.4 means Doncaster's workforce is significantly concentrated in higher-weighted sectors compared with other United Kingdom cities in this dataset; it does not state a 79.4% probability of displacement.