Scotland · Baseline population 524,930
Official ONS figures for the region Edinburgh 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 Edinburgh-only figure.
UK average for the same period: unemployment 4.7%, employment 75.3%, inactivity 20.9%. Scotland ranks 7 of 12 UK regions and countries by unemployment rate.
108,760 people in Scotland were claiming unemployment-related benefits in September 2026, 3.9% of economically active residents, up 7,630 on September 2025. Among 16–24 year olds the count was 22,920, up 3,075 on the year. Not seasonally adjusted; this is an administrative count, not a survey estimate.
2,445,914 people were on a payroll in Scotland in September 2026, down 3,726 (0.15%) 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 Edinburgh events — the tracker records the country a layoff was reported in, not the town or city, so nothing here is attributed to Edinburgh.
| 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.
Edinburgh has assembled one of the most resilient economic profiles of any city in the UK — financial services at 9.8%, professional services at 9.4%, education at 10.6%, health at 12.2%, and a tourism economy that's genuinely world-class. The University of Edinburgh's AI research capability is among the best in Europe, and the Turing Institute partnership gives the city direct involvement in the UK's national AI strategy. The festival economy generates over £300 million annually and is inherently human, physical, and irreplaceable. Financial services remains a specific sectoral risk — fund management, insurance, and banking operations are all AI-disruption targets — but Edinburgh's financial sector is more weighted toward high-value fund management than back-office processing, which provides some protection. The city's challenge is less about survival and more about ensuring that its AI-era prosperity reaches beyond the New Town and Stockbridge.
Edinburgh charges tourists £20 to walk up a hill, hosts a month-long festival that turns the entire city into a theatre, and has a financial services sector that manages more money per capita than almost anywhere in Europe. Combined with the world's best AI department at the university and a tourism economy that literally cannot be automated (nobody wants to be guided around Edinburgh Castle by a robot), it's annoyingly well-positioned for the AI age. Financial services at 9.8% is a risk on paper, but Edinburgh's financial sector isn't the claims-processing kind — it's the fund-management-and-asset-allocation kind, which AI augments rather than replaces, at least for now. The festival fringe performers are the canaries in nobody's coal mine: they'll keep doing one-person shows in converted closets regardless of what happens to the global economy. The problem, as always, is the other Edinburgh — the one beyond the tourist zone, where Leith and Wester Hailes have employment profiles that look a lot less like the Athens of the North and a lot more like the Athens of the Rust Belt. The Royal Mile is doing brilliantly. Craigmillar would like a word.
Edinburgh's AI research capability is genuinely world-class — ensure it translates into local commercial jobs, not just academic citations. The university's informatics department should be connected to the financial services sector through applied AI partnerships that keep both the research and the employment in Edinburgh. The Scottish Government should mandate AI transition planning for financial services firms through enterprise agencies — proactive, not reactive. The festival and creative economy should be treated as a serious employment infrastructure, not a cultural luxury: year-round creative industries, production facilities, and digital arts can build on the August platform. Leith and the waterfront should be developed as an affordable creative and tech corridor that serves the city's next generation of workers, not just its property developers.
They'll host another AI conference at the EICC, the university will produce more papers that get cited globally and commercialised in San Francisco, and the financial services firms will automate their Edinburgh operations while the Festival Fringe performers remain blissfully unaffected. The Scottish Government will produce an 'AI Strategy for Scotland' that mentions Edinburgh 400 times and funds it the same as everywhere else. Someone will propose a 'DataFest' expansion that celebrates Edinburgh's data science community, attracting people who already know each other and ignoring the people who don't. Standard Life will continue reducing headcount through 'transformation programmes' that transform offices into empty floors. The Grassmarket will get more boutique hotels. Leith will get more craft breweries. The Royal Mile will get more tourists. And the gap between Edinburgh's global reputation and its local employment reality will continue to be managed through aggregate statistics that make everything look fine. Edinburgh's resilience is real for the people who benefit from it. The question is whether that includes the person serving coffee at Waverley Station.
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 | 12.2% | 0.18 | low | 2.2 |
| Education | 10.6% | 0.15 | low | 1.59 |
| Financial & Insurance Services | 9.8% | 0.75 | high | 7.35 |
| Professional, Scientific & Technical | 9.4% | 0.3 | low | 2.82 |
| Administrative & Support Services | 8.6% | 0.85 | high | 7.31 |
| Accommodation & Food Services | 8.2% | 0.48 | medium | 3.94 |
| Retail | 7.8% | 0.8 | high | 6.24 |
| Public Administration & Defence | 7.2% | 0.22 | low | 1.58 |
| Information & Communication | 6.8% | 0.5 | medium | 3.4 |
| Construction | 4.2% | 0.28 | low | 1.18 |
| Transport & Storage | 3.6% | 0.78 | high | 2.81 |
| Arts, Entertainment & Recreation | 3.6% | 0.2 | low | 0.72 |
| Manufacturing | 3.4% | 0.82 | high | 2.79 |
| Wholesale | 2.8% | 0.55 | medium | 1.54 |
| Real Estate | 1.6% | 0.4 | medium | 0.64 |
| Agriculture, Forestry & Fishing | 0.2% | 0.25 | low | 0.05 |
The vulnerability score is a weighted average of Edinburgh'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 60.4 means Edinburgh's workforce is significantly concentrated in higher-weighted sectors compared with other United Kingdom cities in this dataset; it does not state a 60.4% probability of displacement.