North East · Baseline population 277,417
Official ONS figures for the region Sunderland 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 Sunderland-only figure.
UK average for the same period: unemployment 4.7%, employment 75.3%, inactivity 20.9%. North East ranks 4 of 12 UK regions and countries by unemployment rate.
63,515 people in North East were claiming unemployment-related benefits in September 2026, 5.0% of economically active residents, up 2,010 on September 2025. Among 16–24 year olds the count was 14,905, up 1,125 on the year. Not seasonally adjusted; this is an administrative count, not a survey estimate.
1,121,556 people were on a payroll in North East in September 2026, down 3,607 (0.32%) on the year, against 0.22% down across the UK as a whole — North East 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 Sunderland events — the tracker records the country a layoff was reported in, not the town or city, so nothing here is attributed to Sunderland.
| 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.
Sunderland pinned its post-industrial hopes on Nissan, and for a generation that bet paid off — the plant became the most productive car factory in Europe and the cornerstone of the city's economic identity. But manufacturing still accounts for 12.1% of jobs, admin support adds 11.2%, and retail another 11.4%. That's a city where a third of the workforce is in sectors where AI and robotics are advancing fastest. The EV battery gigafactory announcement brought genuine optimism, and the shift to electric vehicle production is real. But modern EV plants employ significantly fewer people than traditional manufacturing, and the admin and retail sectors that absorbed displaced workers in previous cycles are themselves now facing automation. Sunderland has the industrial infrastructure and the workforce culture to adapt — but the maths of each successive reinvention getting harder is starting to show.
Nissan was supposed to be the answer to everything. Close the shipyards, close the mines, but Nissan will save us. And it did, sort of, for about thirty years, during which Sunderland became entirely defined by whether a Japanese car company felt like staying. Now the gigafactory is the new Nissan — the single bet the whole city is pinning its future on — and nobody wants to mention that battery factories employ roughly a quarter of the people that traditional car plants did. The admin workers who process orders, the retail staff in The Bridges shopping centre, the logistics operators feeding the supply chain — they're all in the blast radius too, and nobody's building a gigafactory for them. The city centre looks like a before photo in a regeneration brochure, which it has been for about fifteen years now. Sunderland keeps getting its hopes up on single large employers, which is the economic equivalent of going all-in on every poker hand. Nissan's still here. The question is how many people it'll need next decade, and the answer is 'fewer than you'd like.'
The gigafactory is a genuine opportunity, but Sunderland's leaders need to build around it, not depend on it. Develop a workforce pipeline for battery technology, EV maintenance, and energy storage systems that serves the whole North East, not just one facility. Invest seriously in the Port of Sunderland for offshore wind servicing — the North Sea wind farms need a maintenance hub, and Sunderland's geography is ideal. This creates a second economic anchor beyond automotive that's genuinely future-proof. The Software Centre and the university's tech programmes need more funding and better integration with local employers. The city centre needs a purpose beyond retail — residential conversion, creative workspace, and civic functions that give people a reason to be there. Most importantly, Sunderland needs to break the psychological pattern of dependence on single large employers. Economic resilience comes from breadth, not from hoping the next big employer is the one that stays forever.
They'll celebrate the gigafactory announcement at every opportunity for the next decade, quietly ignoring that it employs a fraction of the old plant's workforce and that the supply chain jobs are increasingly automated. The council will produce a 'Sunderland 2035 Vision' document full of renders of a city centre that looks nothing like the actual city centre. Someone will propose a 'Northern Battery Hub' marketing initiative that amounts to a website and some LinkedIn posts. The Software Centre will continue to exist in that quantum state where it's simultaneously 'thriving' in council reports and largely unknown to actual tech companies. The Bridges will lose another anchor tenant, gain a Poundland, and be described as 'evolving its offer.' Offshore wind will be mentioned in every speech but the actual investment will go to Teesside or Blyth. A delegation will visit Malmö or Bilbao to 'learn lessons about post-industrial transition,' return inspired, implement nothing. The JobCentre will retrain ex-manufacturing workers as warehouse operatives, which is like teaching someone to ride a horse in 1910.
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 |
|---|---|---|---|---|
| Manufacturing | 12.1% | 0.82 | high | 9.92 |
| Retail | 11.4% | 0.8 | high | 9.12 |
| Administrative & Support Services | 11.2% | 0.85 | high | 9.52 |
| Human Health & Social Work | 8.9% | 0.18 | low | 1.6 |
| Education | 8.4% | 0.15 | low | 1.26 |
| Financial & Insurance Services | 7.2% | 0.75 | high | 5.4 |
| Transport & Storage | 6.8% | 0.78 | high | 5.3 |
| Construction | 6.2% | 0.28 | low | 1.74 |
| Public Administration & Defence | 5.8% | 0.22 | low | 1.28 |
| Accommodation & Food Services | 5.6% | 0.48 | medium | 2.69 |
| Wholesale | 4.9% | 0.55 | medium | 2.7 |
| Professional, Scientific & Technical | 4.1% | 0.3 | low | 1.23 |
| Information & Communication | 3.4% | 0.5 | medium | 1.7 |
| Arts, Entertainment & Recreation | 2.7% | 0.2 | low | 0.54 |
| Real Estate | 0.9% | 0.4 | medium | 0.36 |
| Agriculture, Forestry & Fishing | 0.4% | 0.25 | low | 0.1 |
The vulnerability score is a weighted average of Sunderland'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 81.1 means Sunderland's workforce is significantly concentrated in higher-weighted sectors compared with other United Kingdom cities in this dataset; it does not state a 81.1% probability of displacement.